03/10 09:20:38 - 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: 1571596270 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 ------------------------------------------------------------ 03/10 09:20:38 - mmengine - INFO - Config: 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', interpolation='bicubic'), 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', interpolation='bicubic'), 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=128, dataset=dict( type='ImageNet', data_root='data/imagenet', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict( type='RandomResizedCrop', scale=224, backend='pillow', interpolation='bicubic'), 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=128, 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', interpolation='bicubic'), 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=128, 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', interpolation='bicubic'), 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='MultiStepLR', by_epoch=True, milestones=[30, 60, 90], gamma=0.1) 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=256) 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) model = dict( type='ImageClassifier', backbone=dict(type='CSPResNeXt', depth=50), neck=dict(type='GlobalAveragePooling'), head=dict( type='LinearClsHead', num_classes=1000, in_channels=2048, loss=dict(type='CrossEntropyLoss', loss_weight=1.0))) launcher = 'pytorch' work_dir = './work_dirs/cspresnext50_8xb32_in1k' 03/10 09:20:38 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:20:38 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:20:39 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:21:28 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:21:28 - 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 -------------------- 03/10 09:21:28 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:21:28 - 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 03/10 09:21:55 - mmengine - WARNING - The "data sampler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:21:55 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:21:55 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:21:55 - 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 03/10 09:21:55 - mmengine - WARNING - The "parameter scheduler" 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 03/10 09:21:56 - mmengine - WARNING - The "metric" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:22:04 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 09:22:22 - mmengine - INFO - Checkpoints will be saved to /ubuntu-lv2/lml/mmcv_2.x/mmclassification/work_dirs/cspresnext50_8xb32_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()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) [W OpCommand.cpp:114] Warning: [Check][offset] Check input storage_offset[%ld] = 0 failed, result is untrustworthy50176 (function operator()) 03/10 09:25:46 - mmengine - INFO - Epoch(train) [1][ 100/5005] lr: 1.0000e-01 eta: 11 days, 19:06:36 time: 0.1675 data_time: 0.0009 loss: 6.7825 03/10 09:26:02 - mmengine - INFO - Epoch(train) [1][ 200/5005] lr: 1.0000e-01 eta: 6 days, 9:15:01 time: 0.1654 data_time: 0.0010 loss: 6.5771 03/10 09:26:19 - mmengine - INFO - Epoch(train) [1][ 300/5005] lr: 1.0000e-01 eta: 4 days, 13:55:59 time: 0.1702 data_time: 0.0012 loss: 6.4617 03/10 09:26:38 - mmengine - INFO - Epoch(train) [1][ 400/5005] lr: 1.0000e-01 eta: 3 days, 17:02:00 time: 0.1663 data_time: 0.0013 loss: 6.1771 03/10 09:26:55 - mmengine - INFO - Epoch(train) [1][ 500/5005] lr: 1.0000e-01 eta: 3 days, 3:53:19 time: 0.1706 data_time: 0.0013 loss: 6.1948 03/10 09:27:12 - mmengine - INFO - Epoch(train) [1][ 600/5005] lr: 1.0000e-01 eta: 2 days, 19:07:59 time: 0.1679 data_time: 0.0014 loss: 6.1153 03/10 09:27:29 - mmengine - INFO - Epoch(train) [1][ 700/5005] lr: 1.0000e-01 eta: 2 days, 12:51:31 time: 0.1677 data_time: 0.0011 loss: 5.9116 03/10 09:27:46 - mmengine - INFO - Epoch(train) [1][ 800/5005] lr: 1.0000e-01 eta: 2 days, 8:09:00 time: 0.1667 data_time: 0.0012 loss: 5.6875 03/10 09:28:02 - mmengine - INFO - Epoch(train) [1][ 900/5005] lr: 1.0000e-01 eta: 2 days, 4:29:42 time: 0.1650 data_time: 0.0013 loss: 5.6416 03/10 09:28:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:28:22 - mmengine - INFO - Epoch(train) [1][1000/5005] lr: 1.0000e-01 eta: 2 days, 1:53:48 time: 0.1878 data_time: 0.0015 loss: 5.5867 03/10 09:28:39 - mmengine - INFO - Epoch(train) [1][1100/5005] lr: 1.0000e-01 eta: 1 day, 23:30:30 time: 0.1670 data_time: 0.0016 loss: 5.4612 03/10 09:28:55 - mmengine - INFO - Epoch(train) [1][1200/5005] lr: 1.0000e-01 eta: 1 day, 21:28:56 time: 0.1671 data_time: 0.0012 loss: 5.5773 03/10 09:29:12 - mmengine - INFO - Epoch(train) [1][1300/5005] lr: 1.0000e-01 eta: 1 day, 19:45:52 time: 0.1660 data_time: 0.0011 loss: 5.3797 03/10 09:29:29 - mmengine - INFO - Epoch(train) [1][1400/5005] lr: 1.0000e-01 eta: 1 day, 18:17:43 time: 0.1690 data_time: 0.0012 loss: 5.3167 03/10 09:29:46 - mmengine - INFO - Epoch(train) [1][1500/5005] lr: 1.0000e-01 eta: 1 day, 17:01:21 time: 0.1689 data_time: 0.0012 loss: 5.2396 03/10 09:30:03 - mmengine - INFO - Epoch(train) [1][1600/5005] lr: 1.0000e-01 eta: 1 day, 15:57:02 time: 0.1666 data_time: 0.0012 loss: 5.2064 03/10 09:30:21 - mmengine - INFO - Epoch(train) [1][1700/5005] lr: 1.0000e-01 eta: 1 day, 15:02:43 time: 0.1682 data_time: 0.0012 loss: 5.1005 03/10 09:30:38 - mmengine - INFO - Epoch(train) [1][1800/5005] lr: 1.0000e-01 eta: 1 day, 14:09:22 time: 0.1660 data_time: 0.0011 loss: 5.0795 03/10 09:30:55 - mmengine - INFO - Epoch(train) [1][1900/5005] lr: 1.0000e-01 eta: 1 day, 13:21:54 time: 0.1662 data_time: 0.0012 loss: 5.0676 03/10 09:31:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:31:11 - mmengine - INFO - Epoch(train) [1][2000/5005] lr: 1.0000e-01 eta: 1 day, 12:39:15 time: 0.1667 data_time: 0.0011 loss: 4.8330 03/10 09:31:28 - mmengine - INFO - Epoch(train) [1][2100/5005] lr: 1.0000e-01 eta: 1 day, 12:00:45 time: 0.1680 data_time: 0.0011 loss: 5.0022 03/10 09:31:45 - mmengine - INFO - Epoch(train) [1][2200/5005] lr: 1.0000e-01 eta: 1 day, 11:25:04 time: 0.1684 data_time: 0.0012 loss: 4.7356 03/10 09:32:04 - mmengine - INFO - Epoch(train) [1][2300/5005] lr: 1.0000e-01 eta: 1 day, 11:00:25 time: 0.1653 data_time: 0.0015 loss: 4.6661 03/10 09:32:21 - mmengine - INFO - Epoch(train) [1][2400/5005] lr: 1.0000e-01 eta: 1 day, 10:30:55 time: 0.1654 data_time: 0.0012 loss: 4.4274 03/10 09:32:37 - mmengine - INFO - Epoch(train) [1][2500/5005] lr: 1.0000e-01 eta: 1 day, 10:03:14 time: 0.1663 data_time: 0.0011 loss: 4.4783 03/10 09:32:54 - mmengine - INFO - Epoch(train) [1][2600/5005] lr: 1.0000e-01 eta: 1 day, 9:37:44 time: 0.1681 data_time: 0.0012 loss: 4.7579 03/10 09:33:11 - mmengine - INFO - Epoch(train) [1][2700/5005] lr: 1.0000e-01 eta: 1 day, 9:13:50 time: 0.1670 data_time: 0.0011 loss: 4.6605 03/10 09:33:28 - mmengine - INFO - Epoch(train) [1][2800/5005] lr: 1.0000e-01 eta: 1 day, 8:52:33 time: 0.1863 data_time: 0.0013 loss: 4.5976 03/10 09:33:45 - mmengine - INFO - Epoch(train) [1][2900/5005] lr: 1.0000e-01 eta: 1 day, 8:34:22 time: 0.1659 data_time: 0.0013 loss: 4.6044 03/10 09:34:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:34:02 - mmengine - INFO - Epoch(train) [1][3000/5005] lr: 1.0000e-01 eta: 1 day, 8:15:48 time: 0.1661 data_time: 0.0013 loss: 4.5430 03/10 09:34:19 - mmengine - INFO - Epoch(train) [1][3100/5005] lr: 1.0000e-01 eta: 1 day, 7:57:37 time: 0.1688 data_time: 0.0013 loss: 4.4597 03/10 09:34:36 - mmengine - INFO - Epoch(train) [1][3200/5005] lr: 1.0000e-01 eta: 1 day, 7:40:45 time: 0.1674 data_time: 0.0012 loss: 4.4627 03/10 09:34:53 - mmengine - INFO - Epoch(train) [1][3300/5005] lr: 1.0000e-01 eta: 1 day, 7:24:44 time: 0.1691 data_time: 0.0012 loss: 4.4447 03/10 09:35:10 - mmengine - INFO - Epoch(train) [1][3400/5005] lr: 1.0000e-01 eta: 1 day, 7:10:40 time: 0.1902 data_time: 0.0012 loss: 4.0516 03/10 09:35:27 - mmengine - INFO - Epoch(train) [1][3500/5005] lr: 1.0000e-01 eta: 1 day, 6:58:03 time: 0.1672 data_time: 0.0012 loss: 4.1423 03/10 09:35:44 - mmengine - INFO - Epoch(train) [1][3600/5005] lr: 1.0000e-01 eta: 1 day, 6:45:22 time: 0.1894 data_time: 0.0012 loss: 4.3661 03/10 09:36:01 - mmengine - INFO - Epoch(train) [1][3700/5005] lr: 1.0000e-01 eta: 1 day, 6:32:31 time: 0.1679 data_time: 0.0012 loss: 3.9084 03/10 09:36:18 - mmengine - INFO - Epoch(train) [1][3800/5005] lr: 1.0000e-01 eta: 1 day, 6:20:24 time: 0.1663 data_time: 0.0013 loss: 3.8831 03/10 09:36:34 - mmengine - INFO - Epoch(train) [1][3900/5005] lr: 1.0000e-01 eta: 1 day, 6:08:52 time: 0.1667 data_time: 0.0012 loss: 4.0970 03/10 09:36:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:36:52 - mmengine - INFO - Epoch(train) [1][4000/5005] lr: 1.0000e-01 eta: 1 day, 5:59:39 time: 0.1670 data_time: 0.0010 loss: 4.1222 03/10 09:37:09 - mmengine - INFO - Epoch(train) [1][4100/5005] lr: 1.0000e-01 eta: 1 day, 5:49:36 time: 0.1680 data_time: 0.0013 loss: 4.1519 03/10 09:37:26 - mmengine - INFO - Epoch(train) [1][4200/5005] lr: 1.0000e-01 eta: 1 day, 5:39:47 time: 0.1804 data_time: 0.0014 loss: 4.0588 03/10 09:37:43 - mmengine - INFO - Epoch(train) [1][4300/5005] lr: 1.0000e-01 eta: 1 day, 5:30:57 time: 0.1688 data_time: 0.0012 loss: 4.1551 03/10 09:38:00 - mmengine - INFO - Epoch(train) [1][4400/5005] lr: 1.0000e-01 eta: 1 day, 5:21:48 time: 0.1659 data_time: 0.0014 loss: 3.9897 03/10 09:38:16 - mmengine - INFO - Epoch(train) [1][4500/5005] lr: 1.0000e-01 eta: 1 day, 5:13:08 time: 0.1690 data_time: 0.0013 loss: 4.0438 03/10 09:38:36 - mmengine - INFO - Epoch(train) [1][4600/5005] lr: 1.0000e-01 eta: 1 day, 5:09:01 time: 0.3145 data_time: 0.0012 loss: 3.7487 03/10 09:38:52 - mmengine - INFO - Epoch(train) [1][4700/5005] lr: 1.0000e-01 eta: 1 day, 5:00:57 time: 0.1647 data_time: 0.0012 loss: 3.8317 03/10 09:39:09 - mmengine - INFO - Epoch(train) [1][4800/5005] lr: 1.0000e-01 eta: 1 day, 4:52:57 time: 0.1642 data_time: 0.0011 loss: 3.9356 03/10 09:39:25 - mmengine - INFO - Epoch(train) [1][4900/5005] lr: 1.0000e-01 eta: 1 day, 4:45:02 time: 0.1643 data_time: 0.0010 loss: 3.9064 03/10 09:39:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:39:42 - mmengine - INFO - Epoch(train) [1][5000/5005] lr: 1.0000e-01 eta: 1 day, 4:37:20 time: 0.1630 data_time: 0.0009 loss: 3.8531 03/10 09:41:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:41:53 - mmengine - INFO - Saving checkpoint at 1 epochs 03/10 09:42:34 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:00:39 time: 0.0167 data_time: 0.0004 03/10 09:43:41 - mmengine - INFO - Epoch(val) [1][196/196] accuracy/top1: 23.9780 accuracy/top5: 48.4540 03/10 09:44:17 - mmengine - INFO - Epoch(train) [2][ 100/5005] lr: 1.0000e-01 eta: 1 day, 8:26:52 time: 0.1931 data_time: 0.0020 loss: 3.8042 03/10 09:44:34 - mmengine - INFO - Epoch(train) [2][ 200/5005] lr: 1.0000e-01 eta: 1 day, 8:16:08 time: 0.1671 data_time: 0.0010 loss: 3.6601 03/10 09:44:51 - mmengine - INFO - Epoch(train) [2][ 300/5005] lr: 1.0000e-01 eta: 1 day, 8:05:22 time: 0.1678 data_time: 0.0013 loss: 3.8593 03/10 09:45:08 - mmengine - INFO - Epoch(train) [2][ 400/5005] lr: 1.0000e-01 eta: 1 day, 7:56:22 time: 0.1652 data_time: 0.0012 loss: 3.7616 03/10 09:45:25 - mmengine - INFO - Epoch(train) [2][ 500/5005] lr: 1.0000e-01 eta: 1 day, 7:46:18 time: 0.1679 data_time: 0.0013 loss: 4.0661 03/10 09:45:42 - mmengine - INFO - Epoch(train) [2][ 600/5005] lr: 1.0000e-01 eta: 1 day, 7:36:32 time: 0.1671 data_time: 0.0012 loss: 3.6305 03/10 09:46:00 - mmengine - INFO - Epoch(train) [2][ 700/5005] lr: 1.0000e-01 eta: 1 day, 7:29:28 time: 0.1658 data_time: 0.0012 loss: 3.5882 03/10 09:46:18 - mmengine - INFO - Epoch(train) [2][ 800/5005] lr: 1.0000e-01 eta: 1 day, 7:21:02 time: 0.1673 data_time: 0.0012 loss: 3.5869 03/10 09:46:35 - mmengine - INFO - Epoch(train) [2][ 900/5005] lr: 1.0000e-01 eta: 1 day, 7:12:28 time: 0.1884 data_time: 0.0011 loss: 3.7293 03/10 09:46:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:46:51 - mmengine - INFO - Epoch(train) [2][1000/5005] lr: 1.0000e-01 eta: 1 day, 7:04:07 time: 0.1705 data_time: 0.0013 loss: 3.4466 03/10 09:47:08 - mmengine - INFO - Epoch(train) [2][1100/5005] lr: 1.0000e-01 eta: 1 day, 6:55:49 time: 0.1658 data_time: 0.0013 loss: 3.6467 03/10 09:47:25 - mmengine - INFO - Epoch(train) [2][1200/5005] lr: 1.0000e-01 eta: 1 day, 6:47:46 time: 0.1685 data_time: 0.0011 loss: 3.6457 03/10 09:47:42 - mmengine - INFO - Epoch(train) [2][1300/5005] lr: 1.0000e-01 eta: 1 day, 6:40:52 time: 0.1662 data_time: 0.0011 loss: 3.5701 03/10 09:48:00 - mmengine - INFO - Epoch(train) [2][1400/5005] lr: 1.0000e-01 eta: 1 day, 6:34:56 time: 0.1711 data_time: 0.0012 loss: 3.4732 03/10 09:48:17 - mmengine - INFO - Epoch(train) [2][1500/5005] lr: 1.0000e-01 eta: 1 day, 6:27:40 time: 0.1667 data_time: 0.0012 loss: 3.6239 03/10 09:48:34 - mmengine - INFO - Epoch(train) [2][1600/5005] lr: 1.0000e-01 eta: 1 day, 6:20:40 time: 0.1661 data_time: 0.0011 loss: 3.5065 03/10 09:48:51 - mmengine - INFO - Epoch(train) [2][1700/5005] lr: 1.0000e-01 eta: 1 day, 6:13:35 time: 0.1664 data_time: 0.0012 loss: 3.3924 03/10 09:49:08 - mmengine - INFO - Epoch(train) [2][1800/5005] lr: 1.0000e-01 eta: 1 day, 6:07:03 time: 0.1671 data_time: 0.0012 loss: 3.4957 03/10 09:49:25 - mmengine - INFO - Epoch(train) [2][1900/5005] lr: 1.0000e-01 eta: 1 day, 6:01:14 time: 0.1849 data_time: 0.0013 loss: 3.4183 03/10 09:49:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:49:42 - mmengine - INFO - Epoch(train) [2][2000/5005] lr: 1.0000e-01 eta: 1 day, 5:54:58 time: 0.1682 data_time: 0.0013 loss: 3.6772 03/10 09:49:59 - mmengine - INFO - Epoch(train) [2][2100/5005] lr: 1.0000e-01 eta: 1 day, 5:48:43 time: 0.1687 data_time: 0.0013 loss: 3.3273 03/10 09:50:16 - mmengine - INFO - Epoch(train) [2][2200/5005] lr: 1.0000e-01 eta: 1 day, 5:43:02 time: 0.1719 data_time: 0.0012 loss: 3.3132 03/10 09:50:33 - mmengine - INFO - Epoch(train) [2][2300/5005] lr: 1.0000e-01 eta: 1 day, 5:37:04 time: 0.1663 data_time: 0.0011 loss: 3.5299 03/10 09:50:49 - mmengine - INFO - Epoch(train) [2][2400/5005] lr: 1.0000e-01 eta: 1 day, 5:31:27 time: 0.1676 data_time: 0.0011 loss: 3.3728 03/10 09:51:07 - mmengine - INFO - Epoch(train) [2][2500/5005] lr: 1.0000e-01 eta: 1 day, 5:26:39 time: 0.1838 data_time: 0.0012 loss: 3.5521 03/10 09:51:24 - mmengine - INFO - Epoch(train) [2][2600/5005] lr: 1.0000e-01 eta: 1 day, 5:21:27 time: 0.1670 data_time: 0.0014 loss: 3.3466 03/10 09:51:41 - mmengine - INFO - Epoch(train) [2][2700/5005] lr: 1.0000e-01 eta: 1 day, 5:16:02 time: 0.1659 data_time: 0.0012 loss: 3.2230 03/10 09:51:58 - mmengine - INFO - Epoch(train) [2][2800/5005] lr: 1.0000e-01 eta: 1 day, 5:10:57 time: 0.1671 data_time: 0.0013 loss: 3.2911 03/10 09:52:15 - mmengine - INFO - Epoch(train) [2][2900/5005] lr: 1.0000e-01 eta: 1 day, 5:06:07 time: 0.1686 data_time: 0.0013 loss: 3.4152 03/10 09:52:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:52:32 - mmengine - INFO - Epoch(train) [2][3000/5005] lr: 1.0000e-01 eta: 1 day, 5:01:38 time: 0.1672 data_time: 0.0013 loss: 3.3636 03/10 09:52:49 - mmengine - INFO - Epoch(train) [2][3100/5005] lr: 1.0000e-01 eta: 1 day, 4:57:01 time: 0.1681 data_time: 0.0013 loss: 3.4713 03/10 09:53:06 - mmengine - INFO - Epoch(train) [2][3200/5005] lr: 1.0000e-01 eta: 1 day, 4:52:26 time: 0.1671 data_time: 0.0014 loss: 3.4961 03/10 09:53:23 - mmengine - INFO - Epoch(train) [2][3300/5005] lr: 1.0000e-01 eta: 1 day, 4:48:01 time: 0.1655 data_time: 0.0014 loss: 3.4027 03/10 09:53:40 - mmengine - INFO - Epoch(train) [2][3400/5005] lr: 1.0000e-01 eta: 1 day, 4:43:40 time: 0.1665 data_time: 0.0012 loss: 3.4266 03/10 09:53:57 - mmengine - INFO - Epoch(train) [2][3500/5005] lr: 1.0000e-01 eta: 1 day, 4:39:35 time: 0.1681 data_time: 0.0013 loss: 3.1763 03/10 09:54:14 - mmengine - INFO - Epoch(train) [2][3600/5005] lr: 1.0000e-01 eta: 1 day, 4:35:30 time: 0.1984 data_time: 0.0011 loss: 3.3694 03/10 09:54:31 - mmengine - INFO - Epoch(train) [2][3700/5005] lr: 1.0000e-01 eta: 1 day, 4:31:40 time: 0.1708 data_time: 0.0013 loss: 3.3862 03/10 09:54:48 - mmengine - INFO - Epoch(train) [2][3800/5005] lr: 1.0000e-01 eta: 1 day, 4:27:35 time: 0.1672 data_time: 0.0013 loss: 3.1428 03/10 09:55:05 - mmengine - INFO - Epoch(train) [2][3900/5005] lr: 1.0000e-01 eta: 1 day, 4:23:30 time: 0.1677 data_time: 0.0013 loss: 3.2821 03/10 09:55:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:55:22 - mmengine - INFO - Epoch(train) [2][4000/5005] lr: 1.0000e-01 eta: 1 day, 4:19:30 time: 0.1662 data_time: 0.0013 loss: 3.1554 03/10 09:55:39 - mmengine - INFO - Epoch(train) [2][4100/5005] lr: 1.0000e-01 eta: 1 day, 4:15:51 time: 0.1658 data_time: 0.0012 loss: 3.3173 03/10 09:55:56 - mmengine - INFO - Epoch(train) [2][4200/5005] lr: 1.0000e-01 eta: 1 day, 4:12:23 time: 0.1656 data_time: 0.0012 loss: 3.2126 03/10 09:56:13 - mmengine - INFO - Epoch(train) [2][4300/5005] lr: 1.0000e-01 eta: 1 day, 4:08:50 time: 0.1666 data_time: 0.0012 loss: 3.1890 03/10 09:56:30 - mmengine - INFO - Epoch(train) [2][4400/5005] lr: 1.0000e-01 eta: 1 day, 4:05:16 time: 0.1654 data_time: 0.0013 loss: 3.2312 03/10 09:56:47 - mmengine - INFO - Epoch(train) [2][4500/5005] lr: 1.0000e-01 eta: 1 day, 4:01:38 time: 0.1682 data_time: 0.0012 loss: 3.1372 03/10 09:57:03 - mmengine - INFO - Epoch(train) [2][4600/5005] lr: 1.0000e-01 eta: 1 day, 3:58:07 time: 0.1694 data_time: 0.0012 loss: 3.1780 03/10 09:57:21 - mmengine - INFO - Epoch(train) [2][4700/5005] lr: 1.0000e-01 eta: 1 day, 3:54:54 time: 0.1680 data_time: 0.0013 loss: 3.2276 03/10 09:57:38 - mmengine - INFO - Epoch(train) [2][4800/5005] lr: 1.0000e-01 eta: 1 day, 3:51:39 time: 0.1642 data_time: 0.0010 loss: 3.1644 03/10 09:57:54 - mmengine - INFO - Epoch(train) [2][4900/5005] lr: 1.0000e-01 eta: 1 day, 3:48:00 time: 0.1640 data_time: 0.0010 loss: 3.3254 03/10 09:58:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:58:10 - mmengine - INFO - Epoch(train) [2][5000/5005] lr: 1.0000e-01 eta: 1 day, 3:44:26 time: 0.1647 data_time: 0.0011 loss: 3.5634 03/10 09:58:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 09:58:16 - mmengine - INFO - Saving checkpoint at 2 epochs 03/10 09:58:34 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:00:16 time: 0.0174 data_time: 0.0003 03/10 09:58:48 - mmengine - INFO - Epoch(val) [2][196/196] accuracy/top1: 34.3500 accuracy/top5: 61.1700 03/10 09:59:23 - mmengine - INFO - Epoch(train) [3][ 100/5005] lr: 1.0000e-01 eta: 1 day, 3:55:40 time: 0.1696 data_time: 0.0025 loss: 3.0791 03/10 09:59:40 - mmengine - INFO - Epoch(train) [3][ 200/5005] lr: 1.0000e-01 eta: 1 day, 3:52:23 time: 0.1681 data_time: 0.0013 loss: 3.1529 03/10 09:59:57 - mmengine - INFO - Epoch(train) [3][ 300/5005] lr: 1.0000e-01 eta: 1 day, 3:49:21 time: 0.1666 data_time: 0.0015 loss: 2.8950 03/10 10:00:15 - mmengine - INFO - Epoch(train) [3][ 400/5005] lr: 1.0000e-01 eta: 1 day, 3:46:49 time: 0.1679 data_time: 0.0014 loss: 3.0531 03/10 10:00:32 - mmengine - INFO - Epoch(train) [3][ 500/5005] lr: 1.0000e-01 eta: 1 day, 3:44:20 time: 0.1673 data_time: 0.0012 loss: 3.0003 03/10 10:00:50 - mmengine - INFO - Epoch(train) [3][ 600/5005] lr: 1.0000e-01 eta: 1 day, 3:41:36 time: 0.1710 data_time: 0.0011 loss: 3.2222 03/10 10:01:06 - mmengine - INFO - Epoch(train) [3][ 700/5005] lr: 1.0000e-01 eta: 1 day, 3:38:33 time: 0.1667 data_time: 0.0014 loss: 3.2798 03/10 10:01:23 - mmengine - INFO - Epoch(train) [3][ 800/5005] lr: 1.0000e-01 eta: 1 day, 3:35:34 time: 0.1695 data_time: 0.0014 loss: 3.1575 03/10 10:01:40 - mmengine - INFO - Epoch(train) [3][ 900/5005] lr: 1.0000e-01 eta: 1 day, 3:32:46 time: 0.1666 data_time: 0.0013 loss: 3.2660 03/10 10:01:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:01:58 - mmengine - INFO - Epoch(train) [3][1000/5005] lr: 1.0000e-01 eta: 1 day, 3:30:49 time: 0.1701 data_time: 0.0013 loss: 3.2247 03/10 10:02:15 - mmengine - INFO - Epoch(train) [3][1100/5005] lr: 1.0000e-01 eta: 1 day, 3:28:10 time: 0.1686 data_time: 0.0012 loss: 3.1354 03/10 10:02:33 - mmengine - INFO - Epoch(train) [3][1200/5005] lr: 1.0000e-01 eta: 1 day, 3:25:46 time: 0.1664 data_time: 0.0012 loss: 2.9863 03/10 10:02:50 - mmengine - INFO - Epoch(train) [3][1300/5005] lr: 1.0000e-01 eta: 1 day, 3:23:03 time: 0.1665 data_time: 0.0013 loss: 3.2114 03/10 10:03:06 - mmengine - INFO - Epoch(train) [3][1400/5005] lr: 1.0000e-01 eta: 1 day, 3:20:20 time: 0.1677 data_time: 0.0011 loss: 3.1200 03/10 10:03:24 - mmengine - INFO - Epoch(train) [3][1500/5005] lr: 1.0000e-01 eta: 1 day, 3:17:50 time: 0.1847 data_time: 0.0012 loss: 2.8362 03/10 10:03:41 - mmengine - INFO - Epoch(train) [3][1600/5005] lr: 1.0000e-01 eta: 1 day, 3:15:28 time: 0.1680 data_time: 0.0013 loss: 3.0196 03/10 10:03:58 - mmengine - INFO - Epoch(train) [3][1700/5005] lr: 1.0000e-01 eta: 1 day, 3:12:57 time: 0.1693 data_time: 0.0013 loss: 3.0103 03/10 10:04:15 - mmengine - INFO - Epoch(train) [3][1800/5005] lr: 1.0000e-01 eta: 1 day, 3:10:26 time: 0.1664 data_time: 0.0013 loss: 3.0630 03/10 10:04:31 - mmengine - INFO - Epoch(train) [3][1900/5005] lr: 1.0000e-01 eta: 1 day, 3:07:59 time: 0.1658 data_time: 0.0014 loss: 3.0220 03/10 10:04:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:04:48 - mmengine - INFO - Epoch(train) [3][2000/5005] lr: 1.0000e-01 eta: 1 day, 3:05:23 time: 0.1670 data_time: 0.0012 loss: 2.9853 03/10 10:05:05 - mmengine - INFO - Epoch(train) [3][2100/5005] lr: 1.0000e-01 eta: 1 day, 3:03:00 time: 0.1662 data_time: 0.0012 loss: 3.0012 03/10 10:05:23 - mmengine - INFO - Epoch(train) [3][2200/5005] lr: 1.0000e-01 eta: 1 day, 3:01:02 time: 0.1676 data_time: 0.0013 loss: 3.2058 03/10 10:05:39 - mmengine - INFO - Epoch(train) [3][2300/5005] lr: 1.0000e-01 eta: 1 day, 2:58:42 time: 0.1660 data_time: 0.0013 loss: 2.7818 03/10 10:05:56 - mmengine - INFO - Epoch(train) [3][2400/5005] lr: 1.0000e-01 eta: 1 day, 2:56:25 time: 0.1678 data_time: 0.0013 loss: 3.0015 03/10 10:06:13 - mmengine - INFO - Epoch(train) [3][2500/5005] lr: 1.0000e-01 eta: 1 day, 2:54:11 time: 0.1644 data_time: 0.0012 loss: 2.9072 03/10 10:06:30 - mmengine - INFO - Epoch(train) [3][2600/5005] lr: 1.0000e-01 eta: 1 day, 2:51:48 time: 0.1658 data_time: 0.0013 loss: 3.2251 03/10 10:06:47 - mmengine - INFO - Epoch(train) [3][2700/5005] lr: 1.0000e-01 eta: 1 day, 2:49:43 time: 0.1708 data_time: 0.0011 loss: 2.8617 03/10 10:07:04 - mmengine - INFO - Epoch(train) [3][2800/5005] lr: 1.0000e-01 eta: 1 day, 2:47:47 time: 0.1829 data_time: 0.0011 loss: 3.0533 03/10 10:07:21 - mmengine - INFO - Epoch(train) [3][2900/5005] lr: 1.0000e-01 eta: 1 day, 2:45:33 time: 0.1640 data_time: 0.0011 loss: 2.8031 03/10 10:07:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:07:38 - mmengine - INFO - Epoch(train) [3][3000/5005] lr: 1.0000e-01 eta: 1 day, 2:43:25 time: 0.1669 data_time: 0.0012 loss: 3.1274 03/10 10:07:55 - mmengine - INFO - Epoch(train) [3][3100/5005] lr: 1.0000e-01 eta: 1 day, 2:41:20 time: 0.1674 data_time: 0.0011 loss: 3.1724 03/10 10:08:12 - mmengine - INFO - Epoch(train) [3][3200/5005] lr: 1.0000e-01 eta: 1 day, 2:39:10 time: 0.1669 data_time: 0.0012 loss: 2.8339 03/10 10:08:29 - mmengine - INFO - Epoch(train) [3][3300/5005] lr: 1.0000e-01 eta: 1 day, 2:37:11 time: 0.1646 data_time: 0.0012 loss: 2.9762 03/10 10:08:46 - mmengine - INFO - Epoch(train) [3][3400/5005] lr: 1.0000e-01 eta: 1 day, 2:35:24 time: 0.1845 data_time: 0.0013 loss: 2.9945 03/10 10:09:03 - mmengine - INFO - Epoch(train) [3][3500/5005] lr: 1.0000e-01 eta: 1 day, 2:33:24 time: 0.1678 data_time: 0.0013 loss: 3.0786 03/10 10:09:20 - mmengine - INFO - Epoch(train) [3][3600/5005] lr: 1.0000e-01 eta: 1 day, 2:31:27 time: 0.1658 data_time: 0.0013 loss: 3.1102 03/10 10:09:36 - mmengine - INFO - Epoch(train) [3][3700/5005] lr: 1.0000e-01 eta: 1 day, 2:29:27 time: 0.1669 data_time: 0.0012 loss: 3.0111 03/10 10:09:53 - mmengine - INFO - Epoch(train) [3][3800/5005] lr: 1.0000e-01 eta: 1 day, 2:27:34 time: 0.1670 data_time: 0.0013 loss: 3.0604 03/10 10:10:10 - mmengine - INFO - Epoch(train) [3][3900/5005] lr: 1.0000e-01 eta: 1 day, 2:25:48 time: 0.1663 data_time: 0.0012 loss: 2.9389 03/10 10:10:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:10:28 - mmengine - INFO - Epoch(train) [3][4000/5005] lr: 1.0000e-01 eta: 1 day, 2:24:01 time: 0.1671 data_time: 0.0012 loss: 2.7805 03/10 10:10:45 - mmengine - INFO - Epoch(train) [3][4100/5005] lr: 1.0000e-01 eta: 1 day, 2:22:19 time: 0.1653 data_time: 0.0012 loss: 3.0340 03/10 10:11:01 - mmengine - INFO - Epoch(train) [3][4200/5005] lr: 1.0000e-01 eta: 1 day, 2:20:23 time: 0.1678 data_time: 0.0013 loss: 2.9200 03/10 10:11:18 - mmengine - INFO - Epoch(train) [3][4300/5005] lr: 1.0000e-01 eta: 1 day, 2:18:34 time: 0.1679 data_time: 0.0012 loss: 2.8726 03/10 10:11:35 - mmengine - INFO - Epoch(train) [3][4400/5005] lr: 1.0000e-01 eta: 1 day, 2:16:49 time: 0.1682 data_time: 0.0013 loss: 2.7598 03/10 10:11:52 - mmengine - INFO - Epoch(train) [3][4500/5005] lr: 1.0000e-01 eta: 1 day, 2:15:11 time: 0.1654 data_time: 0.0013 loss: 2.9555 03/10 10:12:10 - mmengine - INFO - Epoch(train) [3][4600/5005] lr: 1.0000e-01 eta: 1 day, 2:13:36 time: 0.1670 data_time: 0.0012 loss: 2.8994 03/10 10:12:27 - mmengine - INFO - Epoch(train) [3][4700/5005] lr: 1.0000e-01 eta: 1 day, 2:11:59 time: 0.1667 data_time: 0.0013 loss: 2.9469 03/10 10:12:43 - mmengine - INFO - Epoch(train) [3][4800/5005] lr: 1.0000e-01 eta: 1 day, 2:10:13 time: 0.1668 data_time: 0.0010 loss: 2.8049 03/10 10:13:00 - mmengine - INFO - Epoch(train) [3][4900/5005] lr: 1.0000e-01 eta: 1 day, 2:08:18 time: 0.1641 data_time: 0.0010 loss: 3.1465 03/10 10:13:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:13:16 - mmengine - INFO - Epoch(train) [3][5000/5005] lr: 1.0000e-01 eta: 1 day, 2:06:29 time: 0.1659 data_time: 0.0013 loss: 2.8446 03/10 10:13:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:13:22 - mmengine - INFO - Saving checkpoint at 3 epochs 03/10 10:13:40 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:00:16 time: 0.0165 data_time: 0.0004 03/10 10:13:55 - mmengine - INFO - Epoch(val) [3][196/196] accuracy/top1: 40.3080 accuracy/top5: 67.3980 03/10 10:14:29 - mmengine - INFO - Epoch(train) [4][ 100/5005] lr: 1.0000e-01 eta: 1 day, 2:14:22 time: 0.1708 data_time: 0.0012 loss: 3.0434 03/10 10:14:47 - mmengine - INFO - Epoch(train) [4][ 200/5005] lr: 1.0000e-01 eta: 1 day, 2:12:49 time: 0.1673 data_time: 0.0018 loss: 2.9994 03/10 10:15:04 - mmengine - INFO - Epoch(train) [4][ 300/5005] lr: 1.0000e-01 eta: 1 day, 2:11:28 time: 0.1676 data_time: 0.0015 loss: 2.9096 03/10 10:15:21 - mmengine - INFO - Epoch(train) [4][ 400/5005] lr: 1.0000e-01 eta: 1 day, 2:09:50 time: 0.1846 data_time: 0.0012 loss: 3.2335 03/10 10:15:38 - mmengine - INFO - Epoch(train) [4][ 500/5005] lr: 1.0000e-01 eta: 1 day, 2:08:10 time: 0.1669 data_time: 0.0012 loss: 2.9554 03/10 10:15:55 - mmengine - INFO - Epoch(train) [4][ 600/5005] lr: 1.0000e-01 eta: 1 day, 2:06:36 time: 0.1656 data_time: 0.0012 loss: 2.7869 03/10 10:16:12 - mmengine - INFO - Epoch(train) [4][ 700/5005] lr: 1.0000e-01 eta: 1 day, 2:05:13 time: 0.1665 data_time: 0.0014 loss: 2.9213 03/10 10:16:30 - mmengine - INFO - Epoch(train) [4][ 800/5005] lr: 1.0000e-01 eta: 1 day, 2:03:52 time: 0.1662 data_time: 0.0013 loss: 2.9235 03/10 10:16:47 - mmengine - INFO - Epoch(train) [4][ 900/5005] lr: 1.0000e-01 eta: 1 day, 2:02:20 time: 0.1731 data_time: 0.0014 loss: 2.7588 03/10 10:17:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:17:04 - mmengine - INFO - Epoch(train) [4][1000/5005] lr: 1.0000e-01 eta: 1 day, 2:00:49 time: 0.1820 data_time: 0.0014 loss: 2.7977 03/10 10:17:20 - mmengine - INFO - Epoch(train) [4][1100/5005] lr: 1.0000e-01 eta: 1 day, 1:59:11 time: 0.1673 data_time: 0.0013 loss: 2.8768 03/10 10:17:38 - mmengine - INFO - Epoch(train) [4][1200/5005] lr: 1.0000e-01 eta: 1 day, 1:57:50 time: 0.1681 data_time: 0.0014 loss: 2.8148 03/10 10:17:55 - mmengine - INFO - Epoch(train) [4][1300/5005] lr: 1.0000e-01 eta: 1 day, 1:56:30 time: 0.1673 data_time: 0.0013 loss: 2.7710 03/10 10:18:12 - mmengine - INFO - Epoch(train) [4][1400/5005] lr: 1.0000e-01 eta: 1 day, 1:55:12 time: 0.1670 data_time: 0.0014 loss: 2.7252 03/10 10:18:29 - mmengine - INFO - Epoch(train) [4][1500/5005] lr: 1.0000e-01 eta: 1 day, 1:53:44 time: 0.1669 data_time: 0.0013 loss: 2.7100 03/10 10:18:46 - mmengine - INFO - Epoch(train) [4][1600/5005] lr: 1.0000e-01 eta: 1 day, 1:52:11 time: 0.1675 data_time: 0.0016 loss: 2.6207 03/10 10:19:03 - mmengine - INFO - Epoch(train) [4][1700/5005] lr: 1.0000e-01 eta: 1 day, 1:50:43 time: 0.1684 data_time: 0.0012 loss: 2.6999 03/10 10:19:20 - mmengine - INFO - Epoch(train) [4][1800/5005] lr: 1.0000e-01 eta: 1 day, 1:49:17 time: 0.1670 data_time: 0.0015 loss: 2.7089 03/10 10:19:37 - mmengine - INFO - Epoch(train) [4][1900/5005] lr: 1.0000e-01 eta: 1 day, 1:48:14 time: 0.2009 data_time: 0.0012 loss: 3.0210 03/10 10:19:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:19:54 - mmengine - INFO - Epoch(train) [4][2000/5005] lr: 1.0000e-01 eta: 1 day, 1:46:49 time: 0.1694 data_time: 0.0013 loss: 3.1316 03/10 10:20:11 - mmengine - INFO - Epoch(train) [4][2100/5005] lr: 1.0000e-01 eta: 1 day, 1:45:23 time: 0.1670 data_time: 0.0013 loss: 2.6905 03/10 10:20:28 - mmengine - INFO - Epoch(train) [4][2200/5005] lr: 1.0000e-01 eta: 1 day, 1:43:57 time: 0.1679 data_time: 0.0013 loss: 2.6045 03/10 10:20:45 - mmengine - INFO - Epoch(train) [4][2300/5005] lr: 1.0000e-01 eta: 1 day, 1:42:38 time: 0.1678 data_time: 0.0012 loss: 2.7985 03/10 10:21:02 - mmengine - INFO - Epoch(train) [4][2400/5005] lr: 1.0000e-01 eta: 1 day, 1:41:16 time: 0.1662 data_time: 0.0013 loss: 2.6547 03/10 10:21:19 - mmengine - INFO - Epoch(train) [4][2500/5005] lr: 1.0000e-01 eta: 1 day, 1:40:05 time: 0.1684 data_time: 0.0012 loss: 2.8254 03/10 10:21:36 - mmengine - INFO - Epoch(train) [4][2600/5005] lr: 1.0000e-01 eta: 1 day, 1:38:42 time: 0.1669 data_time: 0.0014 loss: 2.6152 03/10 10:21:53 - mmengine - INFO - Epoch(train) [4][2700/5005] lr: 1.0000e-01 eta: 1 day, 1:37:19 time: 0.1685 data_time: 0.0012 loss: 2.6800 03/10 10:22:09 - mmengine - INFO - Epoch(train) [4][2800/5005] lr: 1.0000e-01 eta: 1 day, 1:35:57 time: 0.1667 data_time: 0.0013 loss: 2.7251 03/10 10:22:27 - mmengine - INFO - Epoch(train) [4][2900/5005] lr: 1.0000e-01 eta: 1 day, 1:34:45 time: 0.1698 data_time: 0.0012 loss: 3.0174 03/10 10:22:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:22:43 - mmengine - INFO - Epoch(train) [4][3000/5005] lr: 1.0000e-01 eta: 1 day, 1:33:28 time: 0.1856 data_time: 0.0014 loss: 2.7123 03/10 10:23:01 - mmengine - INFO - Epoch(train) [4][3100/5005] lr: 1.0000e-01 eta: 1 day, 1:32:28 time: 0.1865 data_time: 0.0014 loss: 2.8030 03/10 10:23:18 - mmengine - INFO - Epoch(train) [4][3200/5005] lr: 1.0000e-01 eta: 1 day, 1:31:08 time: 0.1675 data_time: 0.0013 loss: 2.9403 03/10 10:23:35 - mmengine - INFO - Epoch(train) [4][3300/5005] lr: 1.0000e-01 eta: 1 day, 1:29:49 time: 0.1647 data_time: 0.0013 loss: 2.6542 03/10 10:23:51 - mmengine - INFO - Epoch(train) [4][3400/5005] lr: 1.0000e-01 eta: 1 day, 1:28:30 time: 0.1683 data_time: 0.0014 loss: 2.8409 03/10 10:24:08 - mmengine - INFO - Epoch(train) [4][3500/5005] lr: 1.0000e-01 eta: 1 day, 1:27:21 time: 0.1664 data_time: 0.0013 loss: 2.6175 03/10 10:24:25 - mmengine - INFO - Epoch(train) [4][3600/5005] lr: 1.0000e-01 eta: 1 day, 1:26:07 time: 0.1692 data_time: 0.0012 loss: 2.7167 03/10 10:24:43 - mmengine - INFO - Epoch(train) [4][3700/5005] lr: 1.0000e-01 eta: 1 day, 1:25:12 time: 0.1682 data_time: 0.0013 loss: 2.7526 03/10 10:25:00 - mmengine - INFO - Epoch(train) [4][3800/5005] lr: 1.0000e-01 eta: 1 day, 1:23:53 time: 0.1672 data_time: 0.0014 loss: 2.7466 03/10 10:25:16 - mmengine - INFO - Epoch(train) [4][3900/5005] lr: 1.0000e-01 eta: 1 day, 1:22:38 time: 0.1677 data_time: 0.0014 loss: 2.7979 03/10 10:25:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:25:33 - mmengine - INFO - Epoch(train) [4][4000/5005] lr: 1.0000e-01 eta: 1 day, 1:21:23 time: 0.1674 data_time: 0.0013 loss: 2.7223 03/10 10:25:50 - mmengine - INFO - Epoch(train) [4][4100/5005] lr: 1.0000e-01 eta: 1 day, 1:20:17 time: 0.1673 data_time: 0.0012 loss: 2.7947 03/10 10:26:07 - mmengine - INFO - Epoch(train) [4][4200/5005] lr: 1.0000e-01 eta: 1 day, 1:19:06 time: 0.1682 data_time: 0.0012 loss: 2.7942 03/10 10:26:25 - mmengine - INFO - Epoch(train) [4][4300/5005] lr: 1.0000e-01 eta: 1 day, 1:18:09 time: 0.1673 data_time: 0.0012 loss: 2.7027 03/10 10:26:41 - mmengine - INFO - Epoch(train) [4][4400/5005] lr: 1.0000e-01 eta: 1 day, 1:16:55 time: 0.1675 data_time: 0.0012 loss: 2.7695 03/10 10:26:58 - mmengine - INFO - Epoch(train) [4][4500/5005] lr: 1.0000e-01 eta: 1 day, 1:15:40 time: 0.1666 data_time: 0.0014 loss: 2.6830 03/10 10:27:15 - mmengine - INFO - Epoch(train) [4][4600/5005] lr: 1.0000e-01 eta: 1 day, 1:14:27 time: 0.1690 data_time: 0.0014 loss: 2.8163 03/10 10:27:32 - mmengine - INFO - Epoch(train) [4][4700/5005] lr: 1.0000e-01 eta: 1 day, 1:13:24 time: 0.1663 data_time: 0.0012 loss: 2.8321 03/10 10:27:49 - mmengine - INFO - Epoch(train) [4][4800/5005] lr: 1.0000e-01 eta: 1 day, 1:12:22 time: 0.1754 data_time: 0.0012 loss: 2.7108 03/10 10:28:06 - mmengine - INFO - Epoch(train) [4][4900/5005] lr: 1.0000e-01 eta: 1 day, 1:11:25 time: 0.1728 data_time: 0.0010 loss: 2.8154 03/10 10:28:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:28:24 - mmengine - INFO - Epoch(train) [4][5000/5005] lr: 1.0000e-01 eta: 1 day, 1:10:32 time: 0.1739 data_time: 0.0012 loss: 2.7834 03/10 10:28:24 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:28:29 - mmengine - INFO - Saving checkpoint at 4 epochs 03/10 10:28:47 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:00:17 time: 0.0163 data_time: 0.0003 03/10 10:29:02 - mmengine - INFO - Epoch(val) [4][196/196] accuracy/top1: 46.3000 accuracy/top5: 72.9680 03/10 10:29:37 - mmengine - INFO - Epoch(train) [5][ 100/5005] lr: 1.0000e-01 eta: 1 day, 1:16:21 time: 0.1672 data_time: 0.0012 loss: 2.5834 03/10 10:29:53 - mmengine - INFO - Epoch(train) [5][ 200/5005] lr: 1.0000e-01 eta: 1 day, 1:15:08 time: 0.1674 data_time: 0.0012 loss: 2.8321 03/10 10:30:10 - mmengine - INFO - Epoch(train) [5][ 300/5005] lr: 1.0000e-01 eta: 1 day, 1:14:00 time: 0.1687 data_time: 0.0013 loss: 2.9284 03/10 10:30:28 - mmengine - INFO - Epoch(train) [5][ 400/5005] lr: 1.0000e-01 eta: 1 day, 1:13:17 time: 0.1712 data_time: 0.0024 loss: 2.8497 03/10 10:30:45 - mmengine - INFO - Epoch(train) [5][ 500/5005] lr: 1.0000e-01 eta: 1 day, 1:12:19 time: 0.1682 data_time: 0.0012 loss: 2.7383 03/10 10:31:02 - mmengine - INFO - Epoch(train) [5][ 600/5005] lr: 1.0000e-01 eta: 1 day, 1:11:12 time: 0.1641 data_time: 0.0011 loss: 2.6419 03/10 10:31:19 - mmengine - INFO - Epoch(train) [5][ 700/5005] lr: 1.0000e-01 eta: 1 day, 1:10:02 time: 0.1661 data_time: 0.0013 loss: 2.3110 03/10 10:31:35 - mmengine - INFO - Epoch(train) [5][ 800/5005] lr: 1.0000e-01 eta: 1 day, 1:08:52 time: 0.1650 data_time: 0.0013 loss: 2.5960 03/10 10:31:52 - mmengine - INFO - Epoch(train) [5][ 900/5005] lr: 1.0000e-01 eta: 1 day, 1:07:41 time: 0.1689 data_time: 0.0012 loss: 2.9542 03/10 10:32:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:32:10 - mmengine - INFO - Epoch(train) [5][1000/5005] lr: 1.0000e-01 eta: 1 day, 1:06:59 time: 0.1670 data_time: 0.0012 loss: 2.4695 03/10 10:32:27 - mmengine - INFO - Epoch(train) [5][1100/5005] lr: 1.0000e-01 eta: 1 day, 1:06:05 time: 0.1673 data_time: 0.0011 loss: 2.7784 03/10 10:32:44 - mmengine - INFO - Epoch(train) [5][1200/5005] lr: 1.0000e-01 eta: 1 day, 1:05:04 time: 0.1664 data_time: 0.0012 loss: 2.6848 03/10 10:33:01 - mmengine - INFO - Epoch(train) [5][1300/5005] lr: 1.0000e-01 eta: 1 day, 1:03:58 time: 0.1661 data_time: 0.0013 loss: 2.6069 03/10 10:33:18 - mmengine - INFO - Epoch(train) [5][1400/5005] lr: 1.0000e-01 eta: 1 day, 1:02:51 time: 0.1668 data_time: 0.0012 loss: 2.6218 03/10 10:33:34 - mmengine - INFO - Epoch(train) [5][1500/5005] lr: 1.0000e-01 eta: 1 day, 1:01:45 time: 0.1683 data_time: 0.0014 loss: 2.7029 03/10 10:33:52 - mmengine - INFO - Epoch(train) [5][1600/5005] lr: 1.0000e-01 eta: 1 day, 1:00:53 time: 0.1683 data_time: 0.0014 loss: 2.6785 03/10 10:34:09 - mmengine - INFO - Epoch(train) [5][1700/5005] lr: 1.0000e-01 eta: 1 day, 0:59:57 time: 0.1671 data_time: 0.0013 loss: 2.6033 03/10 10:34:26 - mmengine - INFO - Epoch(train) [5][1800/5005] lr: 1.0000e-01 eta: 1 day, 0:58:57 time: 0.1673 data_time: 0.0012 loss: 2.5889 03/10 10:34:42 - mmengine - INFO - Epoch(train) [5][1900/5005] lr: 1.0000e-01 eta: 1 day, 0:57:53 time: 0.1706 data_time: 0.0013 loss: 2.6600 03/10 10:34:56 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:34:59 - mmengine - INFO - Epoch(train) [5][2000/5005] lr: 1.0000e-01 eta: 1 day, 0:56:49 time: 0.1700 data_time: 0.0012 loss: 2.9563 03/10 10:35:16 - mmengine - INFO - Epoch(train) [5][2100/5005] lr: 1.0000e-01 eta: 1 day, 0:55:46 time: 0.1652 data_time: 0.0014 loss: 2.6328 03/10 10:35:33 - mmengine - INFO - Epoch(train) [5][2200/5005] lr: 1.0000e-01 eta: 1 day, 0:54:56 time: 0.1680 data_time: 0.0013 loss: 2.6941 03/10 10:35:51 - mmengine - INFO - Epoch(train) [5][2300/5005] lr: 1.0000e-01 eta: 1 day, 0:54:08 time: 0.1807 data_time: 0.0013 loss: 2.7577 03/10 10:36:07 - mmengine - INFO - Epoch(train) [5][2400/5005] lr: 1.0000e-01 eta: 1 day, 0:53:07 time: 0.1679 data_time: 0.0013 loss: 2.6045 03/10 10:36:24 - mmengine - INFO - Epoch(train) [5][2500/5005] lr: 1.0000e-01 eta: 1 day, 0:52:05 time: 0.1690 data_time: 0.0013 loss: 2.5487 03/10 10:36:41 - mmengine - INFO - Epoch(train) [5][2600/5005] lr: 1.0000e-01 eta: 1 day, 0:51:04 time: 0.1688 data_time: 0.0013 loss: 2.5950 03/10 10:36:58 - mmengine - INFO - Epoch(train) [5][2700/5005] lr: 1.0000e-01 eta: 1 day, 0:50:05 time: 0.1685 data_time: 0.0013 loss: 2.5321 03/10 10:37:15 - mmengine - INFO - Epoch(train) [5][2800/5005] lr: 1.0000e-01 eta: 1 day, 0:49:17 time: 0.1848 data_time: 0.0013 loss: 2.8777 03/10 10:37:32 - mmengine - INFO - Epoch(train) [5][2900/5005] lr: 1.0000e-01 eta: 1 day, 0:48:25 time: 0.1662 data_time: 0.0012 loss: 2.7717 03/10 10:37:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:37:49 - mmengine - INFO - Epoch(train) [5][3000/5005] lr: 1.0000e-01 eta: 1 day, 0:47:36 time: 0.1685 data_time: 0.0012 loss: 2.6999 03/10 10:38:06 - mmengine - INFO - Epoch(train) [5][3100/5005] lr: 1.0000e-01 eta: 1 day, 0:46:37 time: 0.1681 data_time: 0.0013 loss: 2.6037 03/10 10:38:23 - mmengine - INFO - Epoch(train) [5][3200/5005] lr: 1.0000e-01 eta: 1 day, 0:45:39 time: 0.1676 data_time: 0.0014 loss: 2.5636 03/10 10:38:40 - mmengine - INFO - Epoch(train) [5][3300/5005] lr: 1.0000e-01 eta: 1 day, 0:44:42 time: 0.1678 data_time: 0.0012 loss: 2.6595 03/10 10:38:57 - mmengine - INFO - Epoch(train) [5][3400/5005] lr: 1.0000e-01 eta: 1 day, 0:43:54 time: 0.1863 data_time: 0.0014 loss: 2.5713 03/10 10:39:14 - mmengine - INFO - Epoch(train) [5][3500/5005] lr: 1.0000e-01 eta: 1 day, 0:43:07 time: 0.1903 data_time: 0.0014 loss: 2.6723 03/10 10:39:31 - mmengine - INFO - Epoch(train) [5][3600/5005] lr: 1.0000e-01 eta: 1 day, 0:42:19 time: 0.1687 data_time: 0.0013 loss: 2.6898 03/10 10:39:48 - mmengine - INFO - Epoch(train) [5][3700/5005] lr: 1.0000e-01 eta: 1 day, 0:41:22 time: 0.1664 data_time: 0.0014 loss: 2.7257 03/10 10:40:05 - mmengine - INFO - Epoch(train) [5][3800/5005] lr: 1.0000e-01 eta: 1 day, 0:40:24 time: 0.1661 data_time: 0.0013 loss: 2.6707 03/10 10:40:22 - mmengine - INFO - Epoch(train) [5][3900/5005] lr: 1.0000e-01 eta: 1 day, 0:39:32 time: 0.1677 data_time: 0.0012 loss: 2.5117 03/10 10:40:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:40:39 - mmengine - INFO - Epoch(train) [5][4000/5005] lr: 1.0000e-01 eta: 1 day, 0:38:43 time: 0.1672 data_time: 0.0014 loss: 2.6755 03/10 10:40:56 - mmengine - INFO - Epoch(train) [5][4100/5005] lr: 1.0000e-01 eta: 1 day, 0:38:02 time: 0.1831 data_time: 0.0013 loss: 2.5856 03/10 10:41:13 - mmengine - INFO - Epoch(train) [5][4200/5005] lr: 1.0000e-01 eta: 1 day, 0:37:07 time: 0.1653 data_time: 0.0013 loss: 2.6442 03/10 10:41:30 - mmengine - INFO - Epoch(train) [5][4300/5005] lr: 1.0000e-01 eta: 1 day, 0:36:16 time: 0.1703 data_time: 0.0015 loss: 2.7239 03/10 10:41:47 - mmengine - INFO - Epoch(train) [5][4400/5005] lr: 1.0000e-01 eta: 1 day, 0:35:21 time: 0.1660 data_time: 0.0013 loss: 2.6578 03/10 10:42:04 - mmengine - INFO - Epoch(train) [5][4500/5005] lr: 1.0000e-01 eta: 1 day, 0:34:34 time: 0.1678 data_time: 0.0015 loss: 2.5494 03/10 10:42:21 - mmengine - INFO - Epoch(train) [5][4600/5005] lr: 1.0000e-01 eta: 1 day, 0:33:47 time: 0.1856 data_time: 0.0013 loss: 2.2804 03/10 10:42:38 - mmengine - INFO - Epoch(train) [5][4700/5005] lr: 1.0000e-01 eta: 1 day, 0:33:04 time: 0.1659 data_time: 0.0013 loss: 2.4518 03/10 10:42:55 - mmengine - INFO - Epoch(train) [5][4800/5005] lr: 1.0000e-01 eta: 1 day, 0:32:08 time: 0.1627 data_time: 0.0011 loss: 2.6623 03/10 10:43:12 - mmengine - INFO - Epoch(train) [5][4900/5005] lr: 1.0000e-01 eta: 1 day, 0:31:09 time: 0.1646 data_time: 0.0011 loss: 2.4288 03/10 10:43:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:43:28 - mmengine - INFO - Epoch(train) [5][5000/5005] lr: 1.0000e-01 eta: 1 day, 0:30:12 time: 0.1658 data_time: 0.0013 loss: 2.7457 03/10 10:43:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:43:34 - mmengine - INFO - Saving checkpoint at 5 epochs 03/10 10:43:52 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:00:17 time: 0.0163 data_time: 0.0004 03/10 10:44:06 - mmengine - INFO - Epoch(val) [5][196/196] accuracy/top1: 45.2200 accuracy/top5: 71.9400 03/10 10:44:41 - mmengine - INFO - Epoch(train) [6][ 100/5005] lr: 1.0000e-01 eta: 1 day, 0:34:58 time: 0.1689 data_time: 0.0013 loss: 2.5321 03/10 10:44:58 - mmengine - INFO - Epoch(train) [6][ 200/5005] lr: 1.0000e-01 eta: 1 day, 0:34:11 time: 0.1891 data_time: 0.0014 loss: 2.5663 03/10 10:45:15 - mmengine - INFO - Epoch(train) [6][ 300/5005] lr: 1.0000e-01 eta: 1 day, 0:33:20 time: 0.1683 data_time: 0.0019 loss: 2.6781 03/10 10:45:33 - mmengine - INFO - Epoch(train) [6][ 400/5005] lr: 1.0000e-01 eta: 1 day, 0:32:48 time: 0.1678 data_time: 0.0017 loss: 2.8422 03/10 10:45:50 - mmengine - INFO - Epoch(train) [6][ 500/5005] lr: 1.0000e-01 eta: 1 day, 0:31:57 time: 0.1671 data_time: 0.0015 loss: 2.5340 03/10 10:46:08 - mmengine - INFO - Epoch(train) [6][ 600/5005] lr: 1.0000e-01 eta: 1 day, 0:31:22 time: 0.1898 data_time: 0.0015 loss: 2.6511 03/10 10:46:25 - mmengine - INFO - Epoch(train) [6][ 700/5005] lr: 1.0000e-01 eta: 1 day, 0:30:36 time: 0.1670 data_time: 0.0013 loss: 2.7438 03/10 10:46:42 - mmengine - INFO - Epoch(train) [6][ 800/5005] lr: 1.0000e-01 eta: 1 day, 0:29:48 time: 0.1689 data_time: 0.0013 loss: 2.6717 03/10 10:46:59 - mmengine - INFO - Epoch(train) [6][ 900/5005] lr: 1.0000e-01 eta: 1 day, 0:28:56 time: 0.1677 data_time: 0.0015 loss: 2.6191 03/10 10:47:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:47:16 - mmengine - INFO - Epoch(train) [6][1000/5005] lr: 1.0000e-01 eta: 1 day, 0:28:16 time: 0.1674 data_time: 0.0013 loss: 2.1943 03/10 10:47:33 - mmengine - INFO - Epoch(train) [6][1100/5005] lr: 1.0000e-01 eta: 1 day, 0:27:26 time: 0.1669 data_time: 0.0015 loss: 2.6111 03/10 10:47:50 - mmengine - INFO - Epoch(train) [6][1200/5005] lr: 1.0000e-01 eta: 1 day, 0:26:43 time: 0.1671 data_time: 0.0015 loss: 2.6208 03/10 10:48:07 - mmengine - INFO - Epoch(train) [6][1300/5005] lr: 1.0000e-01 eta: 1 day, 0:26:02 time: 0.1731 data_time: 0.0014 loss: 2.8788 03/10 10:48:24 - mmengine - INFO - Epoch(train) [6][1400/5005] lr: 1.0000e-01 eta: 1 day, 0:25:14 time: 0.1688 data_time: 0.0014 loss: 2.4851 03/10 10:48:41 - mmengine - INFO - Epoch(train) [6][1500/5005] lr: 1.0000e-01 eta: 1 day, 0:24:23 time: 0.1674 data_time: 0.0014 loss: 2.3150 03/10 10:48:59 - mmengine - INFO - Epoch(train) [6][1600/5005] lr: 1.0000e-01 eta: 1 day, 0:23:54 time: 0.1679 data_time: 0.0016 loss: 2.2479 03/10 10:49:16 - mmengine - INFO - Epoch(train) [6][1700/5005] lr: 1.0000e-01 eta: 1 day, 0:23:07 time: 0.1694 data_time: 0.0015 loss: 2.3796 03/10 10:49:33 - mmengine - INFO - Epoch(train) [6][1800/5005] lr: 1.0000e-01 eta: 1 day, 0:22:26 time: 0.1651 data_time: 0.0013 loss: 2.5242 03/10 10:49:50 - mmengine - INFO - Epoch(train) [6][1900/5005] lr: 1.0000e-01 eta: 1 day, 0:21:41 time: 0.1667 data_time: 0.0012 loss: 2.7212 03/10 10:50:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:50:07 - mmengine - INFO - Epoch(train) [6][2000/5005] lr: 1.0000e-01 eta: 1 day, 0:20:50 time: 0.1666 data_time: 0.0012 loss: 2.7271 03/10 10:50:24 - mmengine - INFO - Epoch(train) [6][2100/5005] lr: 1.0000e-01 eta: 1 day, 0:20:00 time: 0.1665 data_time: 0.0012 loss: 2.5176 03/10 10:50:41 - mmengine - INFO - Epoch(train) [6][2200/5005] lr: 1.0000e-01 eta: 1 day, 0:19:21 time: 0.1673 data_time: 0.0015 loss: 2.5168 03/10 10:50:58 - mmengine - INFO - Epoch(train) [6][2300/5005] lr: 1.0000e-01 eta: 1 day, 0:18:35 time: 0.1680 data_time: 0.0013 loss: 2.5546 03/10 10:51:15 - mmengine - INFO - Epoch(train) [6][2400/5005] lr: 1.0000e-01 eta: 1 day, 0:17:55 time: 0.1673 data_time: 0.0014 loss: 2.7063 03/10 10:51:32 - mmengine - INFO - Epoch(train) [6][2500/5005] lr: 1.0000e-01 eta: 1 day, 0:17:10 time: 0.1680 data_time: 0.0013 loss: 2.4614 03/10 10:51:49 - mmengine - INFO - Epoch(train) [6][2600/5005] lr: 1.0000e-01 eta: 1 day, 0:16:22 time: 0.1674 data_time: 0.0015 loss: 2.7268 03/10 10:52:06 - mmengine - INFO - Epoch(train) [6][2700/5005] lr: 1.0000e-01 eta: 1 day, 0:15:34 time: 0.1664 data_time: 0.0013 loss: 2.4257 03/10 10:52:23 - mmengine - INFO - Epoch(train) [6][2800/5005] lr: 1.0000e-01 eta: 1 day, 0:14:53 time: 0.1828 data_time: 0.0014 loss: 2.6533 03/10 10:52:40 - mmengine - INFO - Epoch(train) [6][2900/5005] lr: 1.0000e-01 eta: 1 day, 0:14:09 time: 0.1686 data_time: 0.0013 loss: 2.6488 03/10 10:52:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:52:57 - mmengine - INFO - Epoch(train) [6][3000/5005] lr: 1.0000e-01 eta: 1 day, 0:13:29 time: 0.1655 data_time: 0.0013 loss: 2.7799 03/10 10:53:14 - mmengine - INFO - Epoch(train) [6][3100/5005] lr: 1.0000e-01 eta: 1 day, 0:12:43 time: 0.1691 data_time: 0.0013 loss: 2.4921 03/10 10:53:31 - mmengine - INFO - Epoch(train) [6][3200/5005] lr: 1.0000e-01 eta: 1 day, 0:11:57 time: 0.1663 data_time: 0.0013 loss: 2.3641 03/10 10:53:47 - mmengine - INFO - Epoch(train) [6][3300/5005] lr: 1.0000e-01 eta: 1 day, 0:11:10 time: 0.1679 data_time: 0.0012 loss: 2.7979 03/10 10:54:04 - mmengine - INFO - Epoch(train) [6][3400/5005] lr: 1.0000e-01 eta: 1 day, 0:10:25 time: 0.1657 data_time: 0.0012 loss: 2.4804 03/10 10:54:21 - mmengine - INFO - Epoch(train) [6][3500/5005] lr: 1.0000e-01 eta: 1 day, 0:09:47 time: 0.1847 data_time: 0.0012 loss: 2.3550 03/10 10:54:39 - mmengine - INFO - Epoch(train) [6][3600/5005] lr: 1.0000e-01 eta: 1 day, 0:09:09 time: 0.1668 data_time: 0.0013 loss: 2.6432 03/10 10:54:55 - mmengine - INFO - Epoch(train) [6][3700/5005] lr: 1.0000e-01 eta: 1 day, 0:08:22 time: 0.1664 data_time: 0.0013 loss: 2.4674 03/10 10:55:12 - mmengine - INFO - Epoch(train) [6][3800/5005] lr: 1.0000e-01 eta: 1 day, 0:07:39 time: 0.1675 data_time: 0.0012 loss: 2.5334 03/10 10:55:29 - mmengine - INFO - Epoch(train) [6][3900/5005] lr: 1.0000e-01 eta: 1 day, 0:06:53 time: 0.1658 data_time: 0.0012 loss: 2.5521 03/10 10:55:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:55:46 - mmengine - INFO - Epoch(train) [6][4000/5005] lr: 1.0000e-01 eta: 1 day, 0:06:06 time: 0.1650 data_time: 0.0014 loss: 2.5102 03/10 10:56:03 - mmengine - INFO - Epoch(train) [6][4100/5005] lr: 1.0000e-01 eta: 1 day, 0:05:31 time: 0.1804 data_time: 0.0014 loss: 2.5560 03/10 10:56:20 - mmengine - INFO - Epoch(train) [6][4200/5005] lr: 1.0000e-01 eta: 1 day, 0:04:55 time: 0.1660 data_time: 0.0015 loss: 2.5083 03/10 10:56:37 - mmengine - INFO - Epoch(train) [6][4300/5005] lr: 1.0000e-01 eta: 1 day, 0:04:09 time: 0.1649 data_time: 0.0012 loss: 2.6245 03/10 10:56:54 - mmengine - INFO - Epoch(train) [6][4400/5005] lr: 1.0000e-01 eta: 1 day, 0:03:27 time: 0.1698 data_time: 0.0013 loss: 2.7580 03/10 10:57:11 - mmengine - INFO - Epoch(train) [6][4500/5005] lr: 1.0000e-01 eta: 1 day, 0:02:43 time: 0.1656 data_time: 0.0013 loss: 2.5132 03/10 10:57:28 - mmengine - INFO - Epoch(train) [6][4600/5005] lr: 1.0000e-01 eta: 1 day, 0:01:59 time: 0.1636 data_time: 0.0013 loss: 2.7265 03/10 10:57:45 - mmengine - INFO - Epoch(train) [6][4700/5005] lr: 1.0000e-01 eta: 1 day, 0:01:22 time: 0.1850 data_time: 0.0015 loss: 2.4555 03/10 10:58:02 - mmengine - INFO - Epoch(train) [6][4800/5005] lr: 1.0000e-01 eta: 1 day, 0:00:43 time: 0.1634 data_time: 0.0011 loss: 2.6461 03/10 10:58:18 - mmengine - INFO - Epoch(train) [6][4900/5005] lr: 1.0000e-01 eta: 23:59:56 time: 0.1667 data_time: 0.0011 loss: 2.6262 03/10 10:58:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:58:35 - mmengine - INFO - Epoch(train) [6][5000/5005] lr: 1.0000e-01 eta: 23:59:09 time: 0.1661 data_time: 0.0011 loss: 2.7167 03/10 10:58:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 10:58:40 - mmengine - INFO - Saving checkpoint at 6 epochs 03/10 10:58:59 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:00:16 time: 0.0154 data_time: 0.0003 03/10 10:59:13 - mmengine - INFO - Epoch(val) [6][196/196] accuracy/top1: 47.7300 accuracy/top5: 74.4220 03/10 10:59:48 - mmengine - INFO - Epoch(train) [7][ 100/5005] lr: 1.0000e-01 eta: 1 day, 0:03:11 time: 0.1675 data_time: 0.0013 loss: 2.5857 03/10 11:00:05 - mmengine - INFO - Epoch(train) [7][ 200/5005] lr: 1.0000e-01 eta: 1 day, 0:02:27 time: 0.1679 data_time: 0.0014 loss: 2.5055 03/10 11:00:22 - mmengine - INFO - Epoch(train) [7][ 300/5005] lr: 1.0000e-01 eta: 1 day, 0:01:46 time: 0.1709 data_time: 0.0013 loss: 2.3888 03/10 11:00:40 - mmengine - INFO - Epoch(train) [7][ 400/5005] lr: 1.0000e-01 eta: 1 day, 0:01:18 time: 0.1677 data_time: 0.0014 loss: 2.4583 03/10 11:00:57 - mmengine - INFO - Epoch(train) [7][ 500/5005] lr: 1.0000e-01 eta: 1 day, 0:00:42 time: 0.1922 data_time: 0.0015 loss: 2.7323 03/10 11:01:14 - mmengine - INFO - Epoch(train) [7][ 600/5005] lr: 1.0000e-01 eta: 1 day, 0:00:00 time: 0.1700 data_time: 0.0015 loss: 2.6167 03/10 11:01:31 - mmengine - INFO - Epoch(train) [7][ 700/5005] lr: 1.0000e-01 eta: 23:59:16 time: 0.1679 data_time: 0.0015 loss: 2.6619 03/10 11:01:48 - mmengine - INFO - Epoch(train) [7][ 800/5005] lr: 1.0000e-01 eta: 23:58:32 time: 0.1649 data_time: 0.0013 loss: 2.6676 03/10 11:02:05 - mmengine - INFO - Epoch(train) [7][ 900/5005] lr: 1.0000e-01 eta: 23:58:00 time: 0.1874 data_time: 0.0016 loss: 2.4603 03/10 11:02:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:02:24 - mmengine - INFO - Epoch(train) [7][1000/5005] lr: 1.0000e-01 eta: 23:57:48 time: 0.1705 data_time: 0.0014 loss: 2.4180 03/10 11:02:41 - mmengine - INFO - Epoch(train) [7][1100/5005] lr: 1.0000e-01 eta: 23:57:17 time: 0.1662 data_time: 0.0013 loss: 2.5421 03/10 11:02:58 - mmengine - INFO - Epoch(train) [7][1200/5005] lr: 1.0000e-01 eta: 23:56:34 time: 0.1679 data_time: 0.0013 loss: 2.6403 03/10 11:03:15 - mmengine - INFO - Epoch(train) [7][1300/5005] lr: 1.0000e-01 eta: 23:55:51 time: 0.1673 data_time: 0.0013 loss: 2.6631 03/10 11:03:32 - mmengine - INFO - Epoch(train) [7][1400/5005] lr: 1.0000e-01 eta: 23:55:08 time: 0.1676 data_time: 0.0013 loss: 2.1932 03/10 11:03:49 - mmengine - INFO - Epoch(train) [7][1500/5005] lr: 1.0000e-01 eta: 23:54:34 time: 0.1806 data_time: 0.0012 loss: 2.3513 03/10 11:04:07 - mmengine - INFO - Epoch(train) [7][1600/5005] lr: 1.0000e-01 eta: 23:54:04 time: 0.1680 data_time: 0.0013 loss: 2.6181 03/10 11:04:24 - mmengine - INFO - Epoch(train) [7][1700/5005] lr: 1.0000e-01 eta: 23:53:29 time: 0.1662 data_time: 0.0013 loss: 2.4366 03/10 11:04:40 - mmengine - INFO - Epoch(train) [7][1800/5005] lr: 1.0000e-01 eta: 23:52:47 time: 0.1676 data_time: 0.0015 loss: 2.6833 03/10 11:04:57 - mmengine - INFO - Epoch(train) [7][1900/5005] lr: 1.0000e-01 eta: 23:52:06 time: 0.1674 data_time: 0.0016 loss: 2.3571 03/10 11:05:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:05:14 - mmengine - INFO - Epoch(train) [7][2000/5005] lr: 1.0000e-01 eta: 23:51:28 time: 0.1672 data_time: 0.0014 loss: 2.6076 03/10 11:05:32 - mmengine - INFO - Epoch(train) [7][2100/5005] lr: 1.0000e-01 eta: 23:50:55 time: 0.1675 data_time: 0.0014 loss: 2.4069 03/10 11:05:49 - mmengine - INFO - Epoch(train) [7][2200/5005] lr: 1.0000e-01 eta: 23:50:26 time: 0.2375 data_time: 0.0012 loss: 2.6227 03/10 11:06:06 - mmengine - INFO - Epoch(train) [7][2300/5005] lr: 1.0000e-01 eta: 23:49:45 time: 0.1701 data_time: 0.0014 loss: 2.6476 03/10 11:06:23 - mmengine - INFO - Epoch(train) [7][2400/5005] lr: 1.0000e-01 eta: 23:49:05 time: 0.1667 data_time: 0.0014 loss: 2.5287 03/10 11:06:40 - mmengine - INFO - Epoch(train) [7][2500/5005] lr: 1.0000e-01 eta: 23:48:25 time: 0.1666 data_time: 0.0013 loss: 2.4574 03/10 11:06:56 - mmengine - INFO - Epoch(train) [7][2600/5005] lr: 1.0000e-01 eta: 23:47:44 time: 0.1701 data_time: 0.0014 loss: 2.4744 03/10 11:07:14 - mmengine - INFO - Epoch(train) [7][2700/5005] lr: 1.0000e-01 eta: 23:47:18 time: 0.1904 data_time: 0.0013 loss: 2.4218 03/10 11:07:31 - mmengine - INFO - Epoch(train) [7][2800/5005] lr: 1.0000e-01 eta: 23:46:44 time: 0.1867 data_time: 0.0013 loss: 2.5237 03/10 11:07:48 - mmengine - INFO - Epoch(train) [7][2900/5005] lr: 1.0000e-01 eta: 23:46:04 time: 0.1686 data_time: 0.0013 loss: 2.5343 03/10 11:08:00 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:08:05 - mmengine - INFO - Epoch(train) [7][3000/5005] lr: 1.0000e-01 eta: 23:45:24 time: 0.1691 data_time: 0.0015 loss: 2.4580 03/10 11:08:22 - mmengine - INFO - Epoch(train) [7][3100/5005] lr: 1.0000e-01 eta: 23:44:44 time: 0.1684 data_time: 0.0014 loss: 2.5898 03/10 11:08:39 - mmengine - INFO - Epoch(train) [7][3200/5005] lr: 1.0000e-01 eta: 23:44:04 time: 0.1671 data_time: 0.0015 loss: 2.5308 03/10 11:08:56 - mmengine - INFO - Epoch(train) [7][3300/5005] lr: 1.0000e-01 eta: 23:43:35 time: 0.1675 data_time: 0.0013 loss: 2.3135 03/10 11:09:13 - mmengine - INFO - Epoch(train) [7][3400/5005] lr: 1.0000e-01 eta: 23:43:02 time: 0.1880 data_time: 0.0013 loss: 2.4437 03/10 11:09:30 - mmengine - INFO - Epoch(train) [7][3500/5005] lr: 1.0000e-01 eta: 23:42:28 time: 0.1669 data_time: 0.0013 loss: 2.6249 03/10 11:09:47 - mmengine - INFO - Epoch(train) [7][3600/5005] lr: 1.0000e-01 eta: 23:41:49 time: 0.1683 data_time: 0.0013 loss: 2.1440 03/10 11:10:04 - mmengine - INFO - Epoch(train) [7][3700/5005] lr: 1.0000e-01 eta: 23:41:10 time: 0.1683 data_time: 0.0014 loss: 2.3071 03/10 11:10:21 - mmengine - INFO - Epoch(train) [7][3800/5005] lr: 1.0000e-01 eta: 23:40:33 time: 0.1694 data_time: 0.0013 loss: 2.6871 03/10 11:10:38 - mmengine - INFO - Epoch(train) [7][3900/5005] lr: 1.0000e-01 eta: 23:40:05 time: 0.1692 data_time: 0.0014 loss: 2.4186 03/10 11:10:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:10:55 - mmengine - INFO - Epoch(train) [7][4000/5005] lr: 1.0000e-01 eta: 23:39:29 time: 0.1668 data_time: 0.0014 loss: 2.4547 03/10 11:11:13 - mmengine - INFO - Epoch(train) [7][4100/5005] lr: 1.0000e-01 eta: 23:38:55 time: 0.1691 data_time: 0.0014 loss: 2.4772 03/10 11:11:29 - mmengine - INFO - Epoch(train) [7][4200/5005] lr: 1.0000e-01 eta: 23:38:17 time: 0.1679 data_time: 0.0014 loss: 2.2797 03/10 11:11:46 - mmengine - INFO - Epoch(train) [7][4300/5005] lr: 1.0000e-01 eta: 23:37:38 time: 0.1672 data_time: 0.0015 loss: 2.4627 03/10 11:12:03 - mmengine - INFO - Epoch(train) [7][4400/5005] lr: 1.0000e-01 eta: 23:37:05 time: 0.1688 data_time: 0.0015 loss: 2.8037 03/10 11:12:20 - mmengine - INFO - Epoch(train) [7][4500/5005] lr: 1.0000e-01 eta: 23:36:31 time: 0.1679 data_time: 0.0014 loss: 2.5730 03/10 11:12:38 - mmengine - INFO - Epoch(train) [7][4600/5005] lr: 1.0000e-01 eta: 23:35:58 time: 0.1660 data_time: 0.0013 loss: 2.4577 03/10 11:12:55 - mmengine - INFO - Epoch(train) [7][4700/5005] lr: 1.0000e-01 eta: 23:35:25 time: 0.1670 data_time: 0.0015 loss: 2.5305 03/10 11:13:12 - mmengine - INFO - Epoch(train) [7][4800/5005] lr: 1.0000e-01 eta: 23:34:49 time: 0.1742 data_time: 0.0012 loss: 2.4573 03/10 11:13:29 - mmengine - INFO - Epoch(train) [7][4900/5005] lr: 1.0000e-01 eta: 23:34:18 time: 0.1745 data_time: 0.0013 loss: 2.5736 03/10 11:13:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:13:46 - mmengine - INFO - Epoch(train) [7][5000/5005] lr: 1.0000e-01 eta: 23:33:48 time: 0.1740 data_time: 0.0012 loss: 2.5817 03/10 11:13:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:13:52 - mmengine - INFO - Saving checkpoint at 7 epochs 03/10 11:14:11 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:00:17 time: 0.0498 data_time: 0.0349 03/10 11:14:27 - mmengine - INFO - Epoch(val) [7][196/196] accuracy/top1: 49.4460 accuracy/top5: 76.0060 03/10 11:15:03 - mmengine - INFO - Epoch(train) [8][ 100/5005] lr: 1.0000e-01 eta: 23:37:22 time: 0.1668 data_time: 0.0018 loss: 2.5458 03/10 11:15:20 - mmengine - INFO - Epoch(train) [8][ 200/5005] lr: 1.0000e-01 eta: 23:36:44 time: 0.1674 data_time: 0.0013 loss: 2.6288 03/10 11:15:37 - mmengine - INFO - Epoch(train) [8][ 300/5005] lr: 1.0000e-01 eta: 23:36:12 time: 0.1649 data_time: 0.0014 loss: 2.7689 03/10 11:15:54 - mmengine - INFO - Epoch(train) [8][ 400/5005] lr: 1.0000e-01 eta: 23:35:36 time: 0.1680 data_time: 0.0014 loss: 2.6584 03/10 11:16:11 - mmengine - INFO - Epoch(train) [8][ 500/5005] lr: 1.0000e-01 eta: 23:35:00 time: 0.1672 data_time: 0.0012 loss: 2.5472 03/10 11:16:28 - mmengine - INFO - Epoch(train) [8][ 600/5005] lr: 1.0000e-01 eta: 23:34:23 time: 0.1672 data_time: 0.0013 loss: 2.4549 03/10 11:16:46 - mmengine - INFO - Epoch(train) [8][ 700/5005] lr: 1.0000e-01 eta: 23:34:00 time: 0.1653 data_time: 0.0015 loss: 2.1968 03/10 11:17:03 - mmengine - INFO - Epoch(train) [8][ 800/5005] lr: 1.0000e-01 eta: 23:33:22 time: 0.1664 data_time: 0.0014 loss: 2.3751 03/10 11:17:20 - mmengine - INFO - Epoch(train) [8][ 900/5005] lr: 1.0000e-01 eta: 23:32:49 time: 0.1664 data_time: 0.0015 loss: 2.2609 03/10 11:17:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:17:37 - mmengine - INFO - Epoch(train) [8][1000/5005] lr: 1.0000e-01 eta: 23:32:13 time: 0.1652 data_time: 0.0013 loss: 2.1694 03/10 11:17:54 - mmengine - INFO - Epoch(train) [8][1100/5005] lr: 1.0000e-01 eta: 23:31:38 time: 0.1669 data_time: 0.0013 loss: 2.7288 03/10 11:18:10 - mmengine - INFO - Epoch(train) [8][1200/5005] lr: 1.0000e-01 eta: 23:31:01 time: 0.1803 data_time: 0.0013 loss: 2.2444 03/10 11:18:27 - mmengine - INFO - Epoch(train) [8][1300/5005] lr: 1.0000e-01 eta: 23:30:28 time: 0.1647 data_time: 0.0014 loss: 2.5441 03/10 11:18:46 - mmengine - INFO - Epoch(train) [8][1400/5005] lr: 1.0000e-01 eta: 23:30:07 time: 0.2053 data_time: 0.0013 loss: 2.3278 03/10 11:19:02 - mmengine - INFO - Epoch(train) [8][1500/5005] lr: 1.0000e-01 eta: 23:29:29 time: 0.1671 data_time: 0.0013 loss: 2.7450 03/10 11:19:19 - mmengine - INFO - Epoch(train) [8][1600/5005] lr: 1.0000e-01 eta: 23:28:56 time: 0.1684 data_time: 0.0013 loss: 2.4207 03/10 11:19:36 - mmengine - INFO - Epoch(train) [8][1700/5005] lr: 1.0000e-01 eta: 23:28:19 time: 0.1645 data_time: 0.0013 loss: 2.3431 03/10 11:19:53 - mmengine - INFO - Epoch(train) [8][1800/5005] lr: 1.0000e-01 eta: 23:27:47 time: 0.1640 data_time: 0.0015 loss: 2.5130 03/10 11:20:10 - mmengine - INFO - Epoch(train) [8][1900/5005] lr: 1.0000e-01 eta: 23:27:13 time: 0.1646 data_time: 0.0013 loss: 2.5469 03/10 11:20:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:20:27 - mmengine - INFO - Epoch(train) [8][2000/5005] lr: 1.0000e-01 eta: 23:26:39 time: 0.1673 data_time: 0.0013 loss: 2.4308 03/10 11:20:44 - mmengine - INFO - Epoch(train) [8][2100/5005] lr: 1.0000e-01 eta: 23:26:07 time: 0.1680 data_time: 0.0013 loss: 2.3877 03/10 11:21:01 - mmengine - INFO - Epoch(train) [8][2200/5005] lr: 1.0000e-01 eta: 23:25:32 time: 0.1660 data_time: 0.0013 loss: 2.4222 03/10 11:21:18 - mmengine - INFO - Epoch(train) [8][2300/5005] lr: 1.0000e-01 eta: 23:24:58 time: 0.1690 data_time: 0.0013 loss: 2.5935 03/10 11:21:35 - mmengine - INFO - Epoch(train) [8][2400/5005] lr: 1.0000e-01 eta: 23:24:23 time: 0.1655 data_time: 0.0015 loss: 2.5297 03/10 11:21:52 - mmengine - INFO - Epoch(train) [8][2500/5005] lr: 1.0000e-01 eta: 23:23:49 time: 0.1859 data_time: 0.0014 loss: 2.7285 03/10 11:22:09 - mmengine - INFO - Epoch(train) [8][2600/5005] lr: 1.0000e-01 eta: 23:23:17 time: 0.1664 data_time: 0.0014 loss: 2.2755 03/10 11:22:26 - mmengine - INFO - Epoch(train) [8][2700/5005] lr: 1.0000e-01 eta: 23:22:44 time: 0.1664 data_time: 0.0014 loss: 2.4057 03/10 11:22:43 - mmengine - INFO - Epoch(train) [8][2800/5005] lr: 1.0000e-01 eta: 23:22:11 time: 0.1689 data_time: 0.0014 loss: 2.5060 03/10 11:23:00 - mmengine - INFO - Epoch(train) [8][2900/5005] lr: 1.0000e-01 eta: 23:21:35 time: 0.1648 data_time: 0.0013 loss: 2.5285 03/10 11:23:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:23:17 - mmengine - INFO - Epoch(train) [8][3000/5005] lr: 1.0000e-01 eta: 23:21:04 time: 0.1705 data_time: 0.0013 loss: 2.3510 03/10 11:23:34 - mmengine - INFO - Epoch(train) [8][3100/5005] lr: 1.0000e-01 eta: 23:20:32 time: 0.1693 data_time: 0.0015 loss: 2.6011 03/10 11:23:51 - mmengine - INFO - Epoch(train) [8][3200/5005] lr: 1.0000e-01 eta: 23:20:02 time: 0.1675 data_time: 0.0014 loss: 2.4327 03/10 11:24:08 - mmengine - INFO - Epoch(train) [8][3300/5005] lr: 1.0000e-01 eta: 23:19:28 time: 0.1659 data_time: 0.0014 loss: 2.4468 03/10 11:24:25 - mmengine - INFO - Epoch(train) [8][3400/5005] lr: 1.0000e-01 eta: 23:18:55 time: 0.1819 data_time: 0.0013 loss: 2.3798 03/10 11:24:42 - mmengine - INFO - Epoch(train) [8][3500/5005] lr: 1.0000e-01 eta: 23:18:22 time: 0.1664 data_time: 0.0015 loss: 2.5478 03/10 11:24:59 - mmengine - INFO - Epoch(train) [8][3600/5005] lr: 1.0000e-01 eta: 23:17:48 time: 0.1689 data_time: 0.0014 loss: 2.3824 03/10 11:25:15 - mmengine - INFO - Epoch(train) [8][3700/5005] lr: 1.0000e-01 eta: 23:17:15 time: 0.1680 data_time: 0.0015 loss: 2.3391 03/10 11:25:33 - mmengine - INFO - Epoch(train) [8][3800/5005] lr: 1.0000e-01 eta: 23:16:50 time: 0.1878 data_time: 0.0014 loss: 2.4103 03/10 11:25:50 - mmengine - INFO - Epoch(train) [8][3900/5005] lr: 1.0000e-01 eta: 23:16:16 time: 0.1676 data_time: 0.0015 loss: 2.4434 03/10 11:26:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:26:07 - mmengine - INFO - Epoch(train) [8][4000/5005] lr: 1.0000e-01 eta: 23:15:41 time: 0.1663 data_time: 0.0012 loss: 2.5142 03/10 11:26:24 - mmengine - INFO - Epoch(train) [8][4100/5005] lr: 1.0000e-01 eta: 23:15:13 time: 0.1679 data_time: 0.0015 loss: 2.7720 03/10 11:26:41 - mmengine - INFO - Epoch(train) [8][4200/5005] lr: 1.0000e-01 eta: 23:14:42 time: 0.1840 data_time: 0.0013 loss: 2.5151 03/10 11:26:58 - mmengine - INFO - Epoch(train) [8][4300/5005] lr: 1.0000e-01 eta: 23:14:08 time: 0.1676 data_time: 0.0015 loss: 2.5131 03/10 11:27:16 - mmengine - INFO - Epoch(train) [8][4400/5005] lr: 1.0000e-01 eta: 23:13:46 time: 0.1691 data_time: 0.0012 loss: 2.2941 03/10 11:27:32 - mmengine - INFO - Epoch(train) [8][4500/5005] lr: 1.0000e-01 eta: 23:13:12 time: 0.1696 data_time: 0.0013 loss: 2.6024 03/10 11:27:49 - mmengine - INFO - Epoch(train) [8][4600/5005] lr: 1.0000e-01 eta: 23:12:38 time: 0.1657 data_time: 0.0013 loss: 2.4480 03/10 11:28:06 - mmengine - INFO - Epoch(train) [8][4700/5005] lr: 1.0000e-01 eta: 23:12:08 time: 0.1672 data_time: 0.0014 loss: 2.2794 03/10 11:28:23 - mmengine - INFO - Epoch(train) [8][4800/5005] lr: 1.0000e-01 eta: 23:11:33 time: 0.1638 data_time: 0.0012 loss: 2.4161 03/10 11:28:40 - mmengine - INFO - Epoch(train) [8][4900/5005] lr: 1.0000e-01 eta: 23:10:57 time: 0.1656 data_time: 0.0012 loss: 2.5277 03/10 11:28:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:28:56 - mmengine - INFO - Epoch(train) [8][5000/5005] lr: 1.0000e-01 eta: 23:10:20 time: 0.1636 data_time: 0.0011 loss: 2.5794 03/10 11:28:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:29:01 - mmengine - INFO - Saving checkpoint at 8 epochs 03/10 11:29:19 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:00:16 time: 0.0159 data_time: 0.0003 03/10 11:29:34 - mmengine - INFO - Epoch(val) [8][196/196] accuracy/top1: 51.1920 accuracy/top5: 77.1220 03/10 11:30:09 - mmengine - INFO - Epoch(train) [9][ 100/5005] lr: 1.0000e-01 eta: 23:13:16 time: 0.1653 data_time: 0.0014 loss: 2.6937 03/10 11:30:26 - mmengine - INFO - Epoch(train) [9][ 200/5005] lr: 1.0000e-01 eta: 23:12:45 time: 0.1888 data_time: 0.0016 loss: 2.2015 03/10 11:30:43 - mmengine - INFO - Epoch(train) [9][ 300/5005] lr: 1.0000e-01 eta: 23:12:14 time: 0.1677 data_time: 0.0015 loss: 2.7192 03/10 11:31:01 - mmengine - INFO - Epoch(train) [9][ 400/5005] lr: 1.0000e-01 eta: 23:11:47 time: 0.1677 data_time: 0.0013 loss: 2.2005 03/10 11:31:18 - mmengine - INFO - Epoch(train) [9][ 500/5005] lr: 1.0000e-01 eta: 23:11:23 time: 0.1971 data_time: 0.0014 loss: 2.2409 03/10 11:31:36 - mmengine - INFO - Epoch(train) [9][ 600/5005] lr: 1.0000e-01 eta: 23:10:57 time: 0.1671 data_time: 0.0018 loss: 2.4412 03/10 11:31:52 - mmengine - INFO - Epoch(train) [9][ 700/5005] lr: 1.0000e-01 eta: 23:10:23 time: 0.1678 data_time: 0.0014 loss: 2.2474 03/10 11:32:10 - mmengine - INFO - Epoch(train) [9][ 800/5005] lr: 1.0000e-01 eta: 23:09:53 time: 0.1674 data_time: 0.0013 loss: 2.3447 03/10 11:32:27 - mmengine - INFO - Epoch(train) [9][ 900/5005] lr: 1.0000e-01 eta: 23:09:29 time: 0.1657 data_time: 0.0015 loss: 2.5466 03/10 11:32:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:32:44 - mmengine - INFO - Epoch(train) [9][1000/5005] lr: 1.0000e-01 eta: 23:09:00 time: 0.1680 data_time: 0.0013 loss: 2.3961 03/10 11:33:02 - mmengine - INFO - Epoch(train) [9][1100/5005] lr: 1.0000e-01 eta: 23:08:35 time: 0.1682 data_time: 0.0015 loss: 2.4199 03/10 11:33:19 - mmengine - INFO - Epoch(train) [9][1200/5005] lr: 1.0000e-01 eta: 23:08:04 time: 0.1682 data_time: 0.0015 loss: 2.5112 03/10 11:33:36 - mmengine - INFO - Epoch(train) [9][1300/5005] lr: 1.0000e-01 eta: 23:07:30 time: 0.1654 data_time: 0.0015 loss: 2.3669 03/10 11:33:53 - mmengine - INFO - Epoch(train) [9][1400/5005] lr: 1.0000e-01 eta: 23:07:00 time: 0.1689 data_time: 0.0016 loss: 2.3567 03/10 11:34:10 - mmengine - INFO - Epoch(train) [9][1500/5005] lr: 1.0000e-01 eta: 23:06:37 time: 0.1661 data_time: 0.0015 loss: 2.3096 03/10 11:34:28 - mmengine - INFO - Epoch(train) [9][1600/5005] lr: 1.0000e-01 eta: 23:06:11 time: 0.1670 data_time: 0.0014 loss: 2.4508 03/10 11:34:45 - mmengine - INFO - Epoch(train) [9][1700/5005] lr: 1.0000e-01 eta: 23:05:40 time: 0.1670 data_time: 0.0014 loss: 2.4527 03/10 11:35:02 - mmengine - INFO - Epoch(train) [9][1800/5005] lr: 1.0000e-01 eta: 23:05:10 time: 0.1680 data_time: 0.0014 loss: 2.3611 03/10 11:35:19 - mmengine - INFO - Epoch(train) [9][1900/5005] lr: 1.0000e-01 eta: 23:04:37 time: 0.1677 data_time: 0.0013 loss: 2.3123 03/10 11:35:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:35:36 - mmengine - INFO - Epoch(train) [9][2000/5005] lr: 1.0000e-01 eta: 23:04:07 time: 0.1696 data_time: 0.0013 loss: 2.3812 03/10 11:35:53 - mmengine - INFO - Epoch(train) [9][2100/5005] lr: 1.0000e-01 eta: 23:03:39 time: 0.1850 data_time: 0.0013 loss: 2.4076 03/10 11:36:10 - mmengine - INFO - Epoch(train) [9][2200/5005] lr: 1.0000e-01 eta: 23:03:11 time: 0.1703 data_time: 0.0014 loss: 2.4447 03/10 11:36:27 - mmengine - INFO - Epoch(train) [9][2300/5005] lr: 1.0000e-01 eta: 23:02:41 time: 0.1686 data_time: 0.0014 loss: 2.5070 03/10 11:36:44 - mmengine - INFO - Epoch(train) [9][2400/5005] lr: 1.0000e-01 eta: 23:02:11 time: 0.1701 data_time: 0.0016 loss: 2.6393 03/10 11:37:01 - mmengine - INFO - Epoch(train) [9][2500/5005] lr: 1.0000e-01 eta: 23:01:39 time: 0.1690 data_time: 0.0013 loss: 2.3219 03/10 11:37:18 - mmengine - INFO - Epoch(train) [9][2600/5005] lr: 1.0000e-01 eta: 23:01:09 time: 0.1656 data_time: 0.0015 loss: 2.4194 03/10 11:37:35 - mmengine - INFO - Epoch(train) [9][2700/5005] lr: 1.0000e-01 eta: 23:00:42 time: 0.1664 data_time: 0.0014 loss: 2.4082 03/10 11:37:53 - mmengine - INFO - Epoch(train) [9][2800/5005] lr: 1.0000e-01 eta: 23:00:16 time: 0.1889 data_time: 0.0014 loss: 2.4008 03/10 11:38:09 - mmengine - INFO - Epoch(train) [9][2900/5005] lr: 1.0000e-01 eta: 22:59:43 time: 0.1679 data_time: 0.0013 loss: 2.5243 03/10 11:38:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:38:26 - mmengine - INFO - Epoch(train) [9][3000/5005] lr: 1.0000e-01 eta: 22:59:14 time: 0.1854 data_time: 0.0013 loss: 2.4757 03/10 11:38:43 - mmengine - INFO - Epoch(train) [9][3100/5005] lr: 1.0000e-01 eta: 22:58:43 time: 0.1855 data_time: 0.0012 loss: 2.4720 03/10 11:39:00 - mmengine - INFO - Epoch(train) [9][3200/5005] lr: 1.0000e-01 eta: 22:58:11 time: 0.1669 data_time: 0.0013 loss: 2.4534 03/10 11:39:17 - mmengine - INFO - Epoch(train) [9][3300/5005] lr: 1.0000e-01 eta: 22:57:45 time: 0.1689 data_time: 0.0016 loss: 2.5194 03/10 11:39:34 - mmengine - INFO - Epoch(train) [9][3400/5005] lr: 1.0000e-01 eta: 22:57:15 time: 0.1671 data_time: 0.0012 loss: 2.5550 03/10 11:39:51 - mmengine - INFO - Epoch(train) [9][3500/5005] lr: 1.0000e-01 eta: 22:56:45 time: 0.1698 data_time: 0.0013 loss: 2.3388 03/10 11:40:08 - mmengine - INFO - Epoch(train) [9][3600/5005] lr: 1.0000e-01 eta: 22:56:13 time: 0.1675 data_time: 0.0013 loss: 2.6975 03/10 11:40:25 - mmengine - INFO - Epoch(train) [9][3700/5005] lr: 1.0000e-01 eta: 22:55:42 time: 0.1663 data_time: 0.0013 loss: 2.5391 03/10 11:40:42 - mmengine - INFO - Epoch(train) [9][3800/5005] lr: 1.0000e-01 eta: 22:55:14 time: 0.1680 data_time: 0.0015 loss: 2.5052 03/10 11:40:59 - mmengine - INFO - Epoch(train) [9][3900/5005] lr: 1.0000e-01 eta: 22:54:43 time: 0.1664 data_time: 0.0013 loss: 2.4776 03/10 11:41:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:41:16 - mmengine - INFO - Epoch(train) [9][4000/5005] lr: 1.0000e-01 eta: 22:54:17 time: 0.1671 data_time: 0.0014 loss: 2.4512 03/10 11:41:33 - mmengine - INFO - Epoch(train) [9][4100/5005] lr: 1.0000e-01 eta: 22:53:46 time: 0.1706 data_time: 0.0013 loss: 2.2942 03/10 11:41:50 - mmengine - INFO - Epoch(train) [9][4200/5005] lr: 1.0000e-01 eta: 22:53:15 time: 0.1670 data_time: 0.0013 loss: 2.4575 03/10 11:42:07 - mmengine - INFO - Epoch(train) [9][4300/5005] lr: 1.0000e-01 eta: 22:52:45 time: 0.1679 data_time: 0.0012 loss: 2.5444 03/10 11:42:24 - mmengine - INFO - Epoch(train) [9][4400/5005] lr: 1.0000e-01 eta: 22:52:17 time: 0.1665 data_time: 0.0013 loss: 2.3682 03/10 11:42:41 - mmengine - INFO - Epoch(train) [9][4500/5005] lr: 1.0000e-01 eta: 22:51:45 time: 0.1676 data_time: 0.0012 loss: 2.3127 03/10 11:42:58 - mmengine - INFO - Epoch(train) [9][4600/5005] lr: 1.0000e-01 eta: 22:51:22 time: 0.1860 data_time: 0.0014 loss: 2.4049 03/10 11:43:15 - mmengine - INFO - Epoch(train) [9][4700/5005] lr: 1.0000e-01 eta: 22:50:50 time: 0.1689 data_time: 0.0013 loss: 2.5826 03/10 11:43:32 - mmengine - INFO - Epoch(train) [9][4800/5005] lr: 1.0000e-01 eta: 22:50:21 time: 0.1684 data_time: 0.0011 loss: 2.3160 03/10 11:43:49 - mmengine - INFO - Epoch(train) [9][4900/5005] lr: 1.0000e-01 eta: 22:49:52 time: 0.1716 data_time: 0.0012 loss: 2.4116 03/10 11:43:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:44:06 - mmengine - INFO - Epoch(train) [9][5000/5005] lr: 1.0000e-01 eta: 22:49:22 time: 0.1641 data_time: 0.0015 loss: 2.4084 03/10 11:44:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:44:11 - mmengine - INFO - Saving checkpoint at 9 epochs 03/10 11:44:30 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:00:16 time: 0.0171 data_time: 0.0004 03/10 11:44:44 - mmengine - INFO - Epoch(val) [9][196/196] accuracy/top1: 51.5280 accuracy/top5: 77.4900 03/10 11:45:19 - mmengine - INFO - Epoch(train) [10][ 100/5005] lr: 1.0000e-01 eta: 22:51:58 time: 0.1686 data_time: 0.0018 loss: 2.4437 03/10 11:45:37 - mmengine - INFO - Epoch(train) [10][ 200/5005] lr: 1.0000e-01 eta: 22:51:35 time: 0.1710 data_time: 0.0016 loss: 2.3965 03/10 11:45:54 - mmengine - INFO - Epoch(train) [10][ 300/5005] lr: 1.0000e-01 eta: 22:51:08 time: 0.1698 data_time: 0.0015 loss: 2.2519 03/10 11:46:11 - mmengine - INFO - Epoch(train) [10][ 400/5005] lr: 1.0000e-01 eta: 22:50:41 time: 0.1660 data_time: 0.0014 loss: 2.3607 03/10 11:46:29 - mmengine - INFO - Epoch(train) [10][ 500/5005] lr: 1.0000e-01 eta: 22:50:19 time: 0.1673 data_time: 0.0013 loss: 2.4630 03/10 11:46:46 - mmengine - INFO - Epoch(train) [10][ 600/5005] lr: 1.0000e-01 eta: 22:49:48 time: 0.1659 data_time: 0.0014 loss: 2.3958 03/10 11:47:03 - mmengine - INFO - Epoch(train) [10][ 700/5005] lr: 1.0000e-01 eta: 22:49:20 time: 0.1661 data_time: 0.0014 loss: 2.3905 03/10 11:47:20 - mmengine - INFO - Epoch(train) [10][ 800/5005] lr: 1.0000e-01 eta: 22:48:53 time: 0.1693 data_time: 0.0014 loss: 2.3142 03/10 11:47:37 - mmengine - INFO - Epoch(train) [10][ 900/5005] lr: 1.0000e-01 eta: 22:48:24 time: 0.1660 data_time: 0.0013 loss: 2.5052 03/10 11:47:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:47:54 - mmengine - INFO - Epoch(train) [10][1000/5005] lr: 1.0000e-01 eta: 22:47:55 time: 0.1652 data_time: 0.0015 loss: 2.3734 03/10 11:48:11 - mmengine - INFO - Epoch(train) [10][1100/5005] lr: 1.0000e-01 eta: 22:47:28 time: 0.1670 data_time: 0.0013 loss: 2.4075 03/10 11:48:29 - mmengine - INFO - Epoch(train) [10][1200/5005] lr: 1.0000e-01 eta: 22:47:06 time: 0.2448 data_time: 0.0014 loss: 2.4385 03/10 11:48:46 - mmengine - INFO - Epoch(train) [10][1300/5005] lr: 1.0000e-01 eta: 22:46:36 time: 0.1678 data_time: 0.0014 loss: 2.6325 03/10 11:49:03 - mmengine - INFO - Epoch(train) [10][1400/5005] lr: 1.0000e-01 eta: 22:46:10 time: 0.1674 data_time: 0.0015 loss: 2.4034 03/10 11:49:20 - mmengine - INFO - Epoch(train) [10][1500/5005] lr: 1.0000e-01 eta: 22:45:41 time: 0.1685 data_time: 0.0015 loss: 2.3073 03/10 11:49:37 - mmengine - INFO - Epoch(train) [10][1600/5005] lr: 1.0000e-01 eta: 22:45:12 time: 0.1690 data_time: 0.0013 loss: 2.4019 03/10 11:49:55 - mmengine - INFO - Epoch(train) [10][1700/5005] lr: 1.0000e-01 eta: 22:44:50 time: 0.1675 data_time: 0.0015 loss: 2.3295 03/10 11:50:12 - mmengine - INFO - Epoch(train) [10][1800/5005] lr: 1.0000e-01 eta: 22:44:22 time: 0.1669 data_time: 0.0015 loss: 2.3963 03/10 11:50:29 - mmengine - INFO - Epoch(train) [10][1900/5005] lr: 1.0000e-01 eta: 22:43:53 time: 0.1686 data_time: 0.0014 loss: 2.4415 03/10 11:50:38 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:50:46 - mmengine - INFO - Epoch(train) [10][2000/5005] lr: 1.0000e-01 eta: 22:43:25 time: 0.1680 data_time: 0.0013 loss: 2.5406 03/10 11:51:03 - mmengine - INFO - Epoch(train) [10][2100/5005] lr: 1.0000e-01 eta: 22:43:00 time: 0.1741 data_time: 0.0013 loss: 2.1776 03/10 11:51:20 - mmengine - INFO - Epoch(train) [10][2200/5005] lr: 1.0000e-01 eta: 22:42:31 time: 0.1768 data_time: 0.0013 loss: 2.3271 03/10 11:51:37 - mmengine - INFO - Epoch(train) [10][2300/5005] lr: 1.0000e-01 eta: 22:42:01 time: 0.1675 data_time: 0.0014 loss: 2.1850 03/10 11:51:54 - mmengine - INFO - Epoch(train) [10][2400/5005] lr: 1.0000e-01 eta: 22:41:34 time: 0.1665 data_time: 0.0015 loss: 2.4689 03/10 11:52:11 - mmengine - INFO - Epoch(train) [10][2500/5005] lr: 1.0000e-01 eta: 22:41:09 time: 0.2086 data_time: 0.0013 loss: 2.1858 03/10 11:52:28 - mmengine - INFO - Epoch(train) [10][2600/5005] lr: 1.0000e-01 eta: 22:40:38 time: 0.1655 data_time: 0.0014 loss: 2.1737 03/10 11:52:45 - mmengine - INFO - Epoch(train) [10][2700/5005] lr: 1.0000e-01 eta: 22:40:09 time: 0.1687 data_time: 0.0015 loss: 2.5537 03/10 11:53:02 - mmengine - INFO - Epoch(train) [10][2800/5005] lr: 1.0000e-01 eta: 22:39:41 time: 0.1692 data_time: 0.0013 loss: 2.2985 03/10 11:53:19 - mmengine - INFO - Epoch(train) [10][2900/5005] lr: 1.0000e-01 eta: 22:39:15 time: 0.1669 data_time: 0.0017 loss: 2.3298 03/10 11:53:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:53:36 - mmengine - INFO - Epoch(train) [10][3000/5005] lr: 1.0000e-01 eta: 22:38:49 time: 0.1690 data_time: 0.0016 loss: 2.2666 03/10 11:53:53 - mmengine - INFO - Epoch(train) [10][3100/5005] lr: 1.0000e-01 eta: 22:38:22 time: 0.1672 data_time: 0.0015 loss: 2.3310 03/10 11:54:10 - mmengine - INFO - Epoch(train) [10][3200/5005] lr: 1.0000e-01 eta: 22:37:54 time: 0.1686 data_time: 0.0015 loss: 2.4382 03/10 11:54:27 - mmengine - INFO - Epoch(train) [10][3300/5005] lr: 1.0000e-01 eta: 22:37:29 time: 0.1682 data_time: 0.0014 loss: 2.4308 03/10 11:54:44 - mmengine - INFO - Epoch(train) [10][3400/5005] lr: 1.0000e-01 eta: 22:36:59 time: 0.1693 data_time: 0.0015 loss: 2.4268 03/10 11:55:01 - mmengine - INFO - Epoch(train) [10][3500/5005] lr: 1.0000e-01 eta: 22:36:33 time: 0.1668 data_time: 0.0013 loss: 2.4795 03/10 11:55:18 - mmengine - INFO - Epoch(train) [10][3600/5005] lr: 1.0000e-01 eta: 22:36:08 time: 0.1669 data_time: 0.0014 loss: 2.4229 03/10 11:55:36 - mmengine - INFO - Epoch(train) [10][3700/5005] lr: 1.0000e-01 eta: 22:35:42 time: 0.1859 data_time: 0.0014 loss: 2.3472 03/10 11:55:52 - mmengine - INFO - Epoch(train) [10][3800/5005] lr: 1.0000e-01 eta: 22:35:12 time: 0.1663 data_time: 0.0013 loss: 2.2343 03/10 11:56:09 - mmengine - INFO - Epoch(train) [10][3900/5005] lr: 1.0000e-01 eta: 22:34:46 time: 0.1680 data_time: 0.0013 loss: 2.4273 03/10 11:56:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:56:27 - mmengine - INFO - Epoch(train) [10][4000/5005] lr: 1.0000e-01 eta: 22:34:19 time: 0.1666 data_time: 0.0013 loss: 2.1868 03/10 11:56:44 - mmengine - INFO - Epoch(train) [10][4100/5005] lr: 1.0000e-01 eta: 22:33:52 time: 0.1716 data_time: 0.0014 loss: 2.4232 03/10 11:57:01 - mmengine - INFO - Epoch(train) [10][4200/5005] lr: 1.0000e-01 eta: 22:33:26 time: 0.1653 data_time: 0.0015 loss: 2.3618 03/10 11:57:18 - mmengine - INFO - Epoch(train) [10][4300/5005] lr: 1.0000e-01 eta: 22:32:59 time: 0.1668 data_time: 0.0015 loss: 2.5374 03/10 11:57:35 - mmengine - INFO - Epoch(train) [10][4400/5005] lr: 1.0000e-01 eta: 22:32:30 time: 0.1674 data_time: 0.0014 loss: 2.4477 03/10 11:57:52 - mmengine - INFO - Epoch(train) [10][4500/5005] lr: 1.0000e-01 eta: 22:32:04 time: 0.1698 data_time: 0.0013 loss: 2.4359 03/10 11:58:09 - mmengine - INFO - Epoch(train) [10][4600/5005] lr: 1.0000e-01 eta: 22:31:36 time: 0.1698 data_time: 0.0014 loss: 2.2638 03/10 11:58:26 - mmengine - INFO - Epoch(train) [10][4700/5005] lr: 1.0000e-01 eta: 22:31:10 time: 0.2034 data_time: 0.0014 loss: 2.3768 03/10 11:58:43 - mmengine - INFO - Epoch(train) [10][4800/5005] lr: 1.0000e-01 eta: 22:30:42 time: 0.1665 data_time: 0.0012 loss: 2.6450 03/10 11:58:59 - mmengine - INFO - Epoch(train) [10][4900/5005] lr: 1.0000e-01 eta: 22:30:11 time: 0.1661 data_time: 0.0013 loss: 2.5571 03/10 11:59:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:59:16 - mmengine - INFO - Epoch(train) [10][5000/5005] lr: 1.0000e-01 eta: 22:29:40 time: 0.1636 data_time: 0.0013 loss: 2.4882 03/10 11:59:16 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 11:59:21 - mmengine - INFO - Saving checkpoint at 10 epochs 03/10 11:59:40 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:00:17 time: 0.0175 data_time: 0.0003 03/10 11:59:55 - mmengine - INFO - Epoch(val) [10][196/196] accuracy/top1: 51.0520 accuracy/top5: 76.8620 03/10 12:00:30 - mmengine - INFO - Epoch(train) [11][ 100/5005] lr: 1.0000e-01 eta: 22:31:56 time: 0.1645 data_time: 0.0014 loss: 2.3676 03/10 12:00:47 - mmengine - INFO - Epoch(train) [11][ 200/5005] lr: 1.0000e-01 eta: 22:31:30 time: 0.2098 data_time: 0.0014 loss: 2.2659 03/10 12:01:04 - mmengine - INFO - Epoch(train) [11][ 300/5005] lr: 1.0000e-01 eta: 22:31:01 time: 0.1689 data_time: 0.0017 loss: 2.4590 03/10 12:01:22 - mmengine - INFO - Epoch(train) [11][ 400/5005] lr: 1.0000e-01 eta: 22:30:49 time: 0.1712 data_time: 0.0015 loss: 2.3824 03/10 12:01:40 - mmengine - INFO - Epoch(train) [11][ 500/5005] lr: 1.0000e-01 eta: 22:30:28 time: 0.1758 data_time: 0.0016 loss: 2.3659 03/10 12:01:57 - mmengine - INFO - Epoch(train) [11][ 600/5005] lr: 1.0000e-01 eta: 22:30:01 time: 0.1702 data_time: 0.0014 loss: 2.4760 03/10 12:02:14 - mmengine - INFO - Epoch(train) [11][ 700/5005] lr: 1.0000e-01 eta: 22:29:35 time: 0.1690 data_time: 0.0013 loss: 2.4207 03/10 12:02:32 - mmengine - INFO - Epoch(train) [11][ 800/5005] lr: 1.0000e-01 eta: 22:29:15 time: 0.1666 data_time: 0.0014 loss: 2.2912 03/10 12:02:49 - mmengine - INFO - Epoch(train) [11][ 900/5005] lr: 1.0000e-01 eta: 22:28:49 time: 0.1697 data_time: 0.0014 loss: 2.4514 03/10 12:02:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:03:06 - mmengine - INFO - Epoch(train) [11][1000/5005] lr: 1.0000e-01 eta: 22:28:24 time: 0.1682 data_time: 0.0015 loss: 2.2550 03/10 12:03:23 - mmengine - INFO - Epoch(train) [11][1100/5005] lr: 1.0000e-01 eta: 22:27:56 time: 0.1688 data_time: 0.0013 loss: 2.4506 03/10 12:03:40 - mmengine - INFO - Epoch(train) [11][1200/5005] lr: 1.0000e-01 eta: 22:27:29 time: 0.1695 data_time: 0.0015 loss: 2.3469 03/10 12:03:58 - mmengine - INFO - Epoch(train) [11][1300/5005] lr: 1.0000e-01 eta: 22:27:05 time: 0.1692 data_time: 0.0014 loss: 2.3432 03/10 12:04:15 - mmengine - INFO - Epoch(train) [11][1400/5005] lr: 1.0000e-01 eta: 22:26:38 time: 0.1680 data_time: 0.0014 loss: 2.3110 03/10 12:04:31 - mmengine - INFO - Epoch(train) [11][1500/5005] lr: 1.0000e-01 eta: 22:26:09 time: 0.1673 data_time: 0.0013 loss: 2.4273 03/10 12:04:50 - mmengine - INFO - Epoch(train) [11][1600/5005] lr: 1.0000e-01 eta: 22:25:55 time: 0.1691 data_time: 0.0016 loss: 2.3954 03/10 12:05:07 - mmengine - INFO - Epoch(train) [11][1700/5005] lr: 1.0000e-01 eta: 22:25:26 time: 0.1668 data_time: 0.0015 loss: 2.3656 03/10 12:05:24 - mmengine - INFO - Epoch(train) [11][1800/5005] lr: 1.0000e-01 eta: 22:24:59 time: 0.1658 data_time: 0.0017 loss: 2.5195 03/10 12:05:41 - mmengine - INFO - Epoch(train) [11][1900/5005] lr: 1.0000e-01 eta: 22:24:39 time: 0.1660 data_time: 0.0014 loss: 2.2972 03/10 12:05:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:05:59 - mmengine - INFO - Epoch(train) [11][2000/5005] lr: 1.0000e-01 eta: 22:24:16 time: 0.1686 data_time: 0.0012 loss: 2.5276 03/10 12:06:15 - mmengine - INFO - Epoch(train) [11][2100/5005] lr: 1.0000e-01 eta: 22:23:47 time: 0.1665 data_time: 0.0014 loss: 2.4290 03/10 12:06:33 - mmengine - INFO - Epoch(train) [11][2200/5005] lr: 1.0000e-01 eta: 22:23:23 time: 0.1673 data_time: 0.0015 loss: 2.4817 03/10 12:06:49 - mmengine - INFO - Epoch(train) [11][2300/5005] lr: 1.0000e-01 eta: 22:22:54 time: 0.1714 data_time: 0.0015 loss: 2.3365 03/10 12:07:06 - mmengine - INFO - Epoch(train) [11][2400/5005] lr: 1.0000e-01 eta: 22:22:27 time: 0.1671 data_time: 0.0014 loss: 2.2594 03/10 12:07:24 - mmengine - INFO - Epoch(train) [11][2500/5005] lr: 1.0000e-01 eta: 22:22:03 time: 0.2026 data_time: 0.0015 loss: 2.4137 03/10 12:07:41 - mmengine - INFO - Epoch(train) [11][2600/5005] lr: 1.0000e-01 eta: 22:21:36 time: 0.1654 data_time: 0.0013 loss: 2.5960 03/10 12:07:57 - mmengine - INFO - Epoch(train) [11][2700/5005] lr: 1.0000e-01 eta: 22:21:08 time: 0.1697 data_time: 0.0013 loss: 2.4448 03/10 12:08:15 - mmengine - INFO - Epoch(train) [11][2800/5005] lr: 1.0000e-01 eta: 22:20:44 time: 0.1672 data_time: 0.0014 loss: 2.4571 03/10 12:08:31 - mmengine - INFO - Epoch(train) [11][2900/5005] lr: 1.0000e-01 eta: 22:20:16 time: 0.1667 data_time: 0.0014 loss: 2.4401 03/10 12:08:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:08:48 - mmengine - INFO - Epoch(train) [11][3000/5005] lr: 1.0000e-01 eta: 22:19:48 time: 0.1689 data_time: 0.0015 loss: 2.7107 03/10 12:09:06 - mmengine - INFO - Epoch(train) [11][3100/5005] lr: 1.0000e-01 eta: 22:19:25 time: 0.1867 data_time: 0.0014 loss: 2.4510 03/10 12:09:23 - mmengine - INFO - Epoch(train) [11][3200/5005] lr: 1.0000e-01 eta: 22:18:58 time: 0.1698 data_time: 0.0014 loss: 2.4079 03/10 12:09:39 - mmengine - INFO - Epoch(train) [11][3300/5005] lr: 1.0000e-01 eta: 22:18:30 time: 0.1688 data_time: 0.0013 loss: 2.5679 03/10 12:09:57 - mmengine - INFO - Epoch(train) [11][3400/5005] lr: 1.0000e-01 eta: 22:18:06 time: 0.1688 data_time: 0.0013 loss: 2.2612 03/10 12:10:13 - mmengine - INFO - Epoch(train) [11][3500/5005] lr: 1.0000e-01 eta: 22:17:39 time: 0.1683 data_time: 0.0014 loss: 2.5368 03/10 12:10:30 - mmengine - INFO - Epoch(train) [11][3600/5005] lr: 1.0000e-01 eta: 22:17:12 time: 0.1667 data_time: 0.0013 loss: 2.5128 03/10 12:10:48 - mmengine - INFO - Epoch(train) [11][3700/5005] lr: 1.0000e-01 eta: 22:16:48 time: 0.1659 data_time: 0.0014 loss: 2.1281 03/10 12:11:05 - mmengine - INFO - Epoch(train) [11][3800/5005] lr: 1.0000e-01 eta: 22:16:23 time: 0.1675 data_time: 0.0014 loss: 2.2335 03/10 12:11:22 - mmengine - INFO - Epoch(train) [11][3900/5005] lr: 1.0000e-01 eta: 22:15:56 time: 0.1685 data_time: 0.0014 loss: 2.4085 03/10 12:11:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:11:39 - mmengine - INFO - Epoch(train) [11][4000/5005] lr: 1.0000e-01 eta: 22:15:32 time: 0.1864 data_time: 0.0013 loss: 2.3810 03/10 12:11:56 - mmengine - INFO - Epoch(train) [11][4100/5005] lr: 1.0000e-01 eta: 22:15:05 time: 0.1717 data_time: 0.0014 loss: 2.2888 03/10 12:12:13 - mmengine - INFO - Epoch(train) [11][4200/5005] lr: 1.0000e-01 eta: 22:14:38 time: 0.1666 data_time: 0.0016 loss: 2.4294 03/10 12:12:30 - mmengine - INFO - Epoch(train) [11][4300/5005] lr: 1.0000e-01 eta: 22:14:14 time: 0.1662 data_time: 0.0012 loss: 2.3217 03/10 12:12:47 - mmengine - INFO - Epoch(train) [11][4400/5005] lr: 1.0000e-01 eta: 22:13:49 time: 0.1684 data_time: 0.0014 loss: 2.3654 03/10 12:13:04 - mmengine - INFO - Epoch(train) [11][4500/5005] lr: 1.0000e-01 eta: 22:13:23 time: 0.1670 data_time: 0.0015 loss: 2.4445 03/10 12:13:21 - mmengine - INFO - Epoch(train) [11][4600/5005] lr: 1.0000e-01 eta: 22:12:57 time: 0.1703 data_time: 0.0015 loss: 2.3158 03/10 12:13:38 - mmengine - INFO - Epoch(train) [11][4700/5005] lr: 1.0000e-01 eta: 22:12:32 time: 0.1666 data_time: 0.0014 loss: 2.1987 03/10 12:13:55 - mmengine - INFO - Epoch(train) [11][4800/5005] lr: 1.0000e-01 eta: 22:12:05 time: 0.1654 data_time: 0.0013 loss: 2.2945 03/10 12:14:11 - mmengine - INFO - Epoch(train) [11][4900/5005] lr: 1.0000e-01 eta: 22:11:35 time: 0.1631 data_time: 0.0012 loss: 2.6543 03/10 12:14:20 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:14:28 - mmengine - INFO - Epoch(train) [11][5000/5005] lr: 1.0000e-01 eta: 22:11:07 time: 0.1635 data_time: 0.0012 loss: 2.3252 03/10 12:14:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:14:33 - mmengine - INFO - Saving checkpoint at 11 epochs 03/10 12:14:52 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:00:17 time: 0.0177 data_time: 0.0004 03/10 12:15:07 - mmengine - INFO - Epoch(val) [11][196/196] accuracy/top1: 53.6300 accuracy/top5: 79.2280 03/10 12:15:41 - mmengine - INFO - Epoch(train) [12][ 100/5005] lr: 1.0000e-01 eta: 22:13:04 time: 0.1675 data_time: 0.0015 loss: 2.5769 03/10 12:15:59 - mmengine - INFO - Epoch(train) [12][ 200/5005] lr: 1.0000e-01 eta: 22:12:41 time: 0.1687 data_time: 0.0015 loss: 2.5107 03/10 12:16:16 - mmengine - INFO - Epoch(train) [12][ 300/5005] lr: 1.0000e-01 eta: 22:12:17 time: 0.2070 data_time: 0.0015 loss: 2.4858 03/10 12:16:33 - mmengine - INFO - Epoch(train) [12][ 400/5005] lr: 1.0000e-01 eta: 22:11:50 time: 0.1695 data_time: 0.0015 loss: 2.5205 03/10 12:16:50 - mmengine - INFO - Epoch(train) [12][ 500/5005] lr: 1.0000e-01 eta: 22:11:28 time: 0.1700 data_time: 0.0021 loss: 2.3144 03/10 12:17:08 - mmengine - INFO - Epoch(train) [12][ 600/5005] lr: 1.0000e-01 eta: 22:11:04 time: 0.1866 data_time: 0.0016 loss: 2.4274 03/10 12:17:25 - mmengine - INFO - Epoch(train) [12][ 700/5005] lr: 1.0000e-01 eta: 22:10:40 time: 0.1684 data_time: 0.0015 loss: 2.3698 03/10 12:17:42 - mmengine - INFO - Epoch(train) [12][ 800/5005] lr: 1.0000e-01 eta: 22:10:17 time: 0.1684 data_time: 0.0015 loss: 2.3963 03/10 12:17:59 - mmengine - INFO - Epoch(train) [12][ 900/5005] lr: 1.0000e-01 eta: 22:09:50 time: 0.1677 data_time: 0.0016 loss: 2.4777 03/10 12:18:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:18:16 - mmengine - INFO - Epoch(train) [12][1000/5005] lr: 1.0000e-01 eta: 22:09:24 time: 0.1663 data_time: 0.0015 loss: 2.1367 03/10 12:18:33 - mmengine - INFO - Epoch(train) [12][1100/5005] lr: 1.0000e-01 eta: 22:09:03 time: 0.1677 data_time: 0.0015 loss: 2.4140 03/10 12:18:51 - mmengine - INFO - Epoch(train) [12][1200/5005] lr: 1.0000e-01 eta: 22:08:43 time: 0.1684 data_time: 0.0014 loss: 2.4153 03/10 12:19:08 - mmengine - INFO - Epoch(train) [12][1300/5005] lr: 1.0000e-01 eta: 22:08:19 time: 0.1674 data_time: 0.0015 loss: 2.3066 03/10 12:19:26 - mmengine - INFO - Epoch(train) [12][1400/5005] lr: 1.0000e-01 eta: 22:07:55 time: 0.1768 data_time: 0.0015 loss: 2.2361 03/10 12:19:43 - mmengine - INFO - Epoch(train) [12][1500/5005] lr: 1.0000e-01 eta: 22:07:30 time: 0.1857 data_time: 0.0016 loss: 2.2860 03/10 12:19:59 - mmengine - INFO - Epoch(train) [12][1600/5005] lr: 1.0000e-01 eta: 22:07:02 time: 0.1641 data_time: 0.0015 loss: 2.1031 03/10 12:20:17 - mmengine - INFO - Epoch(train) [12][1700/5005] lr: 1.0000e-01 eta: 22:06:38 time: 0.1722 data_time: 0.0013 loss: 2.3490 03/10 12:20:34 - mmengine - INFO - Epoch(train) [12][1800/5005] lr: 1.0000e-01 eta: 22:06:15 time: 0.1692 data_time: 0.0014 loss: 2.3714 03/10 12:20:51 - mmengine - INFO - Epoch(train) [12][1900/5005] lr: 1.0000e-01 eta: 22:05:50 time: 0.1695 data_time: 0.0014 loss: 2.5464 03/10 12:20:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:21:08 - mmengine - INFO - Epoch(train) [12][2000/5005] lr: 1.0000e-01 eta: 22:05:26 time: 0.1659 data_time: 0.0015 loss: 2.4594 03/10 12:21:25 - mmengine - INFO - Epoch(train) [12][2100/5005] lr: 1.0000e-01 eta: 22:05:01 time: 0.1902 data_time: 0.0016 loss: 2.2378 03/10 12:21:42 - mmengine - INFO - Epoch(train) [12][2200/5005] lr: 1.0000e-01 eta: 22:04:35 time: 0.1700 data_time: 0.0014 loss: 2.3116 03/10 12:21:59 - mmengine - INFO - Epoch(train) [12][2300/5005] lr: 1.0000e-01 eta: 22:04:11 time: 0.1667 data_time: 0.0015 loss: 2.2799 03/10 12:22:16 - mmengine - INFO - Epoch(train) [12][2400/5005] lr: 1.0000e-01 eta: 22:03:48 time: 0.1686 data_time: 0.0014 loss: 2.1403 03/10 12:22:34 - mmengine - INFO - Epoch(train) [12][2500/5005] lr: 1.0000e-01 eta: 22:03:24 time: 0.1869 data_time: 0.0015 loss: 2.5135 03/10 12:22:50 - mmengine - INFO - Epoch(train) [12][2600/5005] lr: 1.0000e-01 eta: 22:02:58 time: 0.1672 data_time: 0.0014 loss: 2.2995 03/10 12:23:07 - mmengine - INFO - Epoch(train) [12][2700/5005] lr: 1.0000e-01 eta: 22:02:32 time: 0.1670 data_time: 0.0015 loss: 2.3229 03/10 12:23:24 - mmengine - INFO - Epoch(train) [12][2800/5005] lr: 1.0000e-01 eta: 22:02:06 time: 0.1685 data_time: 0.0014 loss: 2.3766 03/10 12:23:42 - mmengine - INFO - Epoch(train) [12][2900/5005] lr: 1.0000e-01 eta: 22:01:45 time: 0.1852 data_time: 0.0017 loss: 2.3634 03/10 12:23:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:23:59 - mmengine - INFO - Epoch(train) [12][3000/5005] lr: 1.0000e-01 eta: 22:01:20 time: 0.1680 data_time: 0.0014 loss: 2.4822 03/10 12:24:16 - mmengine - INFO - Epoch(train) [12][3100/5005] lr: 1.0000e-01 eta: 22:00:55 time: 0.1650 data_time: 0.0016 loss: 2.4941 03/10 12:24:33 - mmengine - INFO - Epoch(train) [12][3200/5005] lr: 1.0000e-01 eta: 22:00:30 time: 0.1689 data_time: 0.0015 loss: 2.3978 03/10 12:24:50 - mmengine - INFO - Epoch(train) [12][3300/5005] lr: 1.0000e-01 eta: 22:00:05 time: 0.1679 data_time: 0.0014 loss: 2.6214 03/10 12:25:07 - mmengine - INFO - Epoch(train) [12][3400/5005] lr: 1.0000e-01 eta: 21:59:39 time: 0.1691 data_time: 0.0014 loss: 2.3751 03/10 12:25:24 - mmengine - INFO - Epoch(train) [12][3500/5005] lr: 1.0000e-01 eta: 21:59:19 time: 0.1814 data_time: 0.0014 loss: 2.5381 03/10 12:25:41 - mmengine - INFO - Epoch(train) [12][3600/5005] lr: 1.0000e-01 eta: 21:58:52 time: 0.1691 data_time: 0.0014 loss: 2.4004 03/10 12:25:58 - mmengine - INFO - Epoch(train) [12][3700/5005] lr: 1.0000e-01 eta: 21:58:27 time: 0.1681 data_time: 0.0014 loss: 2.2647 03/10 12:26:15 - mmengine - INFO - Epoch(train) [12][3800/5005] lr: 1.0000e-01 eta: 21:58:02 time: 0.1691 data_time: 0.0015 loss: 2.4766 03/10 12:26:32 - mmengine - INFO - Epoch(train) [12][3900/5005] lr: 1.0000e-01 eta: 21:57:36 time: 0.1786 data_time: 0.0014 loss: 2.1423 03/10 12:26:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:26:49 - mmengine - INFO - Epoch(train) [12][4000/5005] lr: 1.0000e-01 eta: 21:57:10 time: 0.1678 data_time: 0.0015 loss: 2.3281 03/10 12:27:06 - mmengine - INFO - Epoch(train) [12][4100/5005] lr: 1.0000e-01 eta: 21:56:50 time: 0.1672 data_time: 0.0013 loss: 2.2898 03/10 12:27:23 - mmengine - INFO - Epoch(train) [12][4200/5005] lr: 1.0000e-01 eta: 21:56:23 time: 0.1682 data_time: 0.0014 loss: 2.2915 03/10 12:27:40 - mmengine - INFO - Epoch(train) [12][4300/5005] lr: 1.0000e-01 eta: 21:55:59 time: 0.1862 data_time: 0.0013 loss: 2.2989 03/10 12:27:57 - mmengine - INFO - Epoch(train) [12][4400/5005] lr: 1.0000e-01 eta: 21:55:33 time: 0.1681 data_time: 0.0013 loss: 2.2263 03/10 12:28:14 - mmengine - INFO - Epoch(train) [12][4500/5005] lr: 1.0000e-01 eta: 21:55:06 time: 0.1685 data_time: 0.0014 loss: 2.3699 03/10 12:28:31 - mmengine - INFO - Epoch(train) [12][4600/5005] lr: 1.0000e-01 eta: 21:54:41 time: 0.1694 data_time: 0.0014 loss: 2.3863 03/10 12:28:48 - mmengine - INFO - Epoch(train) [12][4700/5005] lr: 1.0000e-01 eta: 21:54:20 time: 0.1672 data_time: 0.0014 loss: 2.2948 03/10 12:29:05 - mmengine - INFO - Epoch(train) [12][4800/5005] lr: 1.0000e-01 eta: 21:53:56 time: 0.1757 data_time: 0.0011 loss: 2.1950 03/10 12:29:23 - mmengine - INFO - Epoch(train) [12][4900/5005] lr: 1.0000e-01 eta: 21:53:34 time: 0.1681 data_time: 0.0013 loss: 2.3567 03/10 12:29:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:29:40 - mmengine - INFO - Epoch(train) [12][5000/5005] lr: 1.0000e-01 eta: 21:53:12 time: 0.1686 data_time: 0.0012 loss: 2.4512 03/10 12:29:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:29:45 - mmengine - INFO - Saving checkpoint at 12 epochs 03/10 12:30:04 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:00:17 time: 0.0182 data_time: 0.0004 03/10 12:30:19 - mmengine - INFO - Epoch(val) [12][196/196] accuracy/top1: 53.8260 accuracy/top5: 79.0320 03/10 12:30:54 - mmengine - INFO - Epoch(train) [13][ 100/5005] lr: 1.0000e-01 eta: 21:55:01 time: 0.1681 data_time: 0.0020 loss: 2.1356 03/10 12:31:11 - mmengine - INFO - Epoch(train) [13][ 200/5005] lr: 1.0000e-01 eta: 21:54:37 time: 0.1683 data_time: 0.0015 loss: 2.2682 03/10 12:31:29 - mmengine - INFO - Epoch(train) [13][ 300/5005] lr: 1.0000e-01 eta: 21:54:16 time: 0.1693 data_time: 0.0014 loss: 2.3892 03/10 12:31:46 - mmengine - INFO - Epoch(train) [13][ 400/5005] lr: 1.0000e-01 eta: 21:53:53 time: 0.1681 data_time: 0.0017 loss: 2.2199 03/10 12:32:03 - mmengine - INFO - Epoch(train) [13][ 500/5005] lr: 1.0000e-01 eta: 21:53:28 time: 0.1648 data_time: 0.0014 loss: 2.3691 03/10 12:32:20 - mmengine - INFO - Epoch(train) [13][ 600/5005] lr: 1.0000e-01 eta: 21:53:02 time: 0.1651 data_time: 0.0017 loss: 2.4957 03/10 12:32:37 - mmengine - INFO - Epoch(train) [13][ 700/5005] lr: 1.0000e-01 eta: 21:52:38 time: 0.1663 data_time: 0.0014 loss: 2.3297 03/10 12:32:54 - mmengine - INFO - Epoch(train) [13][ 800/5005] lr: 1.0000e-01 eta: 21:52:17 time: 0.2149 data_time: 0.0014 loss: 2.4675 03/10 12:33:12 - mmengine - INFO - Epoch(train) [13][ 900/5005] lr: 1.0000e-01 eta: 21:51:53 time: 0.1893 data_time: 0.0013 loss: 2.4543 03/10 12:33:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:33:29 - mmengine - INFO - Epoch(train) [13][1000/5005] lr: 1.0000e-01 eta: 21:51:30 time: 0.1867 data_time: 0.0014 loss: 2.3758 03/10 12:33:46 - mmengine - INFO - Epoch(train) [13][1100/5005] lr: 1.0000e-01 eta: 21:51:04 time: 0.1711 data_time: 0.0016 loss: 2.4154 03/10 12:34:03 - mmengine - INFO - Epoch(train) [13][1200/5005] lr: 1.0000e-01 eta: 21:50:40 time: 0.1746 data_time: 0.0014 loss: 2.4088 03/10 12:34:20 - mmengine - INFO - Epoch(train) [13][1300/5005] lr: 1.0000e-01 eta: 21:50:15 time: 0.1686 data_time: 0.0015 loss: 2.1511 03/10 12:34:37 - mmengine - INFO - Epoch(train) [13][1400/5005] lr: 1.0000e-01 eta: 21:49:51 time: 0.1680 data_time: 0.0013 loss: 2.2032 03/10 12:34:54 - mmengine - INFO - Epoch(train) [13][1500/5005] lr: 1.0000e-01 eta: 21:49:29 time: 0.1911 data_time: 0.0017 loss: 2.3420 03/10 12:35:11 - mmengine - INFO - Epoch(train) [13][1600/5005] lr: 1.0000e-01 eta: 21:49:07 time: 0.2058 data_time: 0.0013 loss: 2.2093 03/10 12:35:28 - mmengine - INFO - Epoch(train) [13][1700/5005] lr: 1.0000e-01 eta: 21:48:41 time: 0.1666 data_time: 0.0015 loss: 2.3175 03/10 12:35:45 - mmengine - INFO - Epoch(train) [13][1800/5005] lr: 1.0000e-01 eta: 21:48:16 time: 0.1846 data_time: 0.0013 loss: 2.4189 03/10 12:36:02 - mmengine - INFO - Epoch(train) [13][1900/5005] lr: 1.0000e-01 eta: 21:47:51 time: 0.1794 data_time: 0.0013 loss: 2.3248 03/10 12:36:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:36:19 - mmengine - INFO - Epoch(train) [13][2000/5005] lr: 1.0000e-01 eta: 21:47:28 time: 0.1696 data_time: 0.0014 loss: 2.4202 03/10 12:36:36 - mmengine - INFO - Epoch(train) [13][2100/5005] lr: 1.0000e-01 eta: 21:47:05 time: 0.1665 data_time: 0.0014 loss: 2.1602 03/10 12:36:54 - mmengine - INFO - Epoch(train) [13][2200/5005] lr: 1.0000e-01 eta: 21:46:42 time: 0.1847 data_time: 0.0014 loss: 2.4439 03/10 12:37:10 - mmengine - INFO - Epoch(train) [13][2300/5005] lr: 1.0000e-01 eta: 21:46:16 time: 0.1653 data_time: 0.0014 loss: 2.2903 03/10 12:37:28 - mmengine - INFO - Epoch(train) [13][2400/5005] lr: 1.0000e-01 eta: 21:45:53 time: 0.1689 data_time: 0.0014 loss: 2.1997 03/10 12:37:44 - mmengine - INFO - Epoch(train) [13][2500/5005] lr: 1.0000e-01 eta: 21:45:28 time: 0.1662 data_time: 0.0014 loss: 2.3380 03/10 12:38:02 - mmengine - INFO - Epoch(train) [13][2600/5005] lr: 1.0000e-01 eta: 21:45:05 time: 0.1674 data_time: 0.0013 loss: 2.4245 03/10 12:38:19 - mmengine - INFO - Epoch(train) [13][2700/5005] lr: 1.0000e-01 eta: 21:44:42 time: 0.1868 data_time: 0.0013 loss: 2.0432 03/10 12:38:36 - mmengine - INFO - Epoch(train) [13][2800/5005] lr: 1.0000e-01 eta: 21:44:19 time: 0.1687 data_time: 0.0014 loss: 2.1807 03/10 12:38:53 - mmengine - INFO - Epoch(train) [13][2900/5005] lr: 1.0000e-01 eta: 21:43:53 time: 0.1686 data_time: 0.0013 loss: 2.2525 03/10 12:38:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:39:10 - mmengine - INFO - Epoch(train) [13][3000/5005] lr: 1.0000e-01 eta: 21:43:29 time: 0.1690 data_time: 0.0014 loss: 2.2159 03/10 12:39:27 - mmengine - INFO - Epoch(train) [13][3100/5005] lr: 1.0000e-01 eta: 21:43:04 time: 0.1690 data_time: 0.0014 loss: 2.2101 03/10 12:39:44 - mmengine - INFO - Epoch(train) [13][3200/5005] lr: 1.0000e-01 eta: 21:42:43 time: 0.1673 data_time: 0.0014 loss: 2.3715 03/10 12:40:01 - mmengine - INFO - Epoch(train) [13][3300/5005] lr: 1.0000e-01 eta: 21:42:19 time: 0.1714 data_time: 0.0014 loss: 2.3468 03/10 12:40:18 - mmengine - INFO - Epoch(train) [13][3400/5005] lr: 1.0000e-01 eta: 21:41:56 time: 0.1673 data_time: 0.0014 loss: 2.2359 03/10 12:40:35 - mmengine - INFO - Epoch(train) [13][3500/5005] lr: 1.0000e-01 eta: 21:41:31 time: 0.1689 data_time: 0.0016 loss: 2.2232 03/10 12:40:52 - mmengine - INFO - Epoch(train) [13][3600/5005] lr: 1.0000e-01 eta: 21:41:07 time: 0.1669 data_time: 0.0015 loss: 2.1542 03/10 12:41:09 - mmengine - INFO - Epoch(train) [13][3700/5005] lr: 1.0000e-01 eta: 21:40:44 time: 0.1711 data_time: 0.0015 loss: 2.2944 03/10 12:41:26 - mmengine - INFO - Epoch(train) [13][3800/5005] lr: 1.0000e-01 eta: 21:40:22 time: 0.1672 data_time: 0.0015 loss: 2.3929 03/10 12:41:44 - mmengine - INFO - Epoch(train) [13][3900/5005] lr: 1.0000e-01 eta: 21:40:00 time: 0.1647 data_time: 0.0015 loss: 2.1556 03/10 12:41:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:42:01 - mmengine - INFO - Epoch(train) [13][4000/5005] lr: 1.0000e-01 eta: 21:39:36 time: 0.1668 data_time: 0.0014 loss: 2.3610 03/10 12:42:17 - mmengine - INFO - Epoch(train) [13][4100/5005] lr: 1.0000e-01 eta: 21:39:10 time: 0.1663 data_time: 0.0015 loss: 2.5978 03/10 12:42:34 - mmengine - INFO - Epoch(train) [13][4200/5005] lr: 1.0000e-01 eta: 21:38:45 time: 0.1824 data_time: 0.0016 loss: 2.2480 03/10 12:42:51 - mmengine - INFO - Epoch(train) [13][4300/5005] lr: 1.0000e-01 eta: 21:38:22 time: 0.1710 data_time: 0.0015 loss: 2.3126 03/10 12:43:09 - mmengine - INFO - Epoch(train) [13][4400/5005] lr: 1.0000e-01 eta: 21:38:02 time: 0.1671 data_time: 0.0015 loss: 2.4217 03/10 12:43:26 - mmengine - INFO - Epoch(train) [13][4500/5005] lr: 1.0000e-01 eta: 21:37:38 time: 0.1682 data_time: 0.0016 loss: 2.5276 03/10 12:43:43 - mmengine - INFO - Epoch(train) [13][4600/5005] lr: 1.0000e-01 eta: 21:37:15 time: 0.1698 data_time: 0.0014 loss: 2.4848 03/10 12:44:00 - mmengine - INFO - Epoch(train) [13][4700/5005] lr: 1.0000e-01 eta: 21:36:51 time: 0.1669 data_time: 0.0015 loss: 2.5264 03/10 12:44:17 - mmengine - INFO - Epoch(train) [13][4800/5005] lr: 1.0000e-01 eta: 21:36:26 time: 0.1672 data_time: 0.0012 loss: 2.3694 03/10 12:44:33 - mmengine - INFO - Epoch(train) [13][4900/5005] lr: 1.0000e-01 eta: 21:35:59 time: 0.1652 data_time: 0.0013 loss: 2.4062 03/10 12:44:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:44:50 - mmengine - INFO - Epoch(train) [13][5000/5005] lr: 1.0000e-01 eta: 21:35:32 time: 0.1647 data_time: 0.0012 loss: 2.2278 03/10 12:44:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:44:55 - mmengine - INFO - Saving checkpoint at 13 epochs 03/10 12:45:14 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:00:16 time: 0.0155 data_time: 0.0004 03/10 12:45:28 - mmengine - INFO - Epoch(val) [13][196/196] accuracy/top1: 52.0320 accuracy/top5: 77.8560 03/10 12:46:03 - mmengine - INFO - Epoch(train) [14][ 100/5005] lr: 1.0000e-01 eta: 21:37:07 time: 0.1706 data_time: 0.0017 loss: 2.3248 03/10 12:46:20 - mmengine - INFO - Epoch(train) [14][ 200/5005] lr: 1.0000e-01 eta: 21:36:44 time: 0.1678 data_time: 0.0018 loss: 2.1354 03/10 12:46:38 - mmengine - INFO - Epoch(train) [14][ 300/5005] lr: 1.0000e-01 eta: 21:36:24 time: 0.1690 data_time: 0.0014 loss: 2.2252 03/10 12:46:55 - mmengine - INFO - Epoch(train) [14][ 400/5005] lr: 1.0000e-01 eta: 21:36:00 time: 0.1690 data_time: 0.0015 loss: 2.3888 03/10 12:47:12 - mmengine - INFO - Epoch(train) [14][ 500/5005] lr: 1.0000e-01 eta: 21:35:41 time: 0.1713 data_time: 0.0017 loss: 2.4062 03/10 12:47:29 - mmengine - INFO - Epoch(train) [14][ 600/5005] lr: 1.0000e-01 eta: 21:35:17 time: 0.1694 data_time: 0.0015 loss: 2.1526 03/10 12:47:47 - mmengine - INFO - Epoch(train) [14][ 700/5005] lr: 1.0000e-01 eta: 21:34:55 time: 0.1673 data_time: 0.0014 loss: 2.3203 03/10 12:48:04 - mmengine - INFO - Epoch(train) [14][ 800/5005] lr: 1.0000e-01 eta: 21:34:33 time: 0.1672 data_time: 0.0015 loss: 2.1270 03/10 12:48:21 - mmengine - INFO - Epoch(train) [14][ 900/5005] lr: 1.0000e-01 eta: 21:34:08 time: 0.1700 data_time: 0.0014 loss: 2.3139 03/10 12:48:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:48:38 - mmengine - INFO - Epoch(train) [14][1000/5005] lr: 1.0000e-01 eta: 21:33:45 time: 0.1680 data_time: 0.0014 loss: 2.4200 03/10 12:48:55 - mmengine - INFO - Epoch(train) [14][1100/5005] lr: 1.0000e-01 eta: 21:33:24 time: 0.1721 data_time: 0.0017 loss: 2.3644 03/10 12:49:12 - mmengine - INFO - Epoch(train) [14][1200/5005] lr: 1.0000e-01 eta: 21:33:01 time: 0.1714 data_time: 0.0014 loss: 2.4424 03/10 12:49:30 - mmengine - INFO - Epoch(train) [14][1300/5005] lr: 1.0000e-01 eta: 21:32:41 time: 0.1852 data_time: 0.0014 loss: 2.2517 03/10 12:49:47 - mmengine - INFO - Epoch(train) [14][1400/5005] lr: 1.0000e-01 eta: 21:32:18 time: 0.1708 data_time: 0.0014 loss: 2.0149 03/10 12:50:04 - mmengine - INFO - Epoch(train) [14][1500/5005] lr: 1.0000e-01 eta: 21:31:53 time: 0.1681 data_time: 0.0014 loss: 2.3549 03/10 12:50:21 - mmengine - INFO - Epoch(train) [14][1600/5005] lr: 1.0000e-01 eta: 21:31:30 time: 0.1761 data_time: 0.0015 loss: 2.2899 03/10 12:50:38 - mmengine - INFO - Epoch(train) [14][1700/5005] lr: 1.0000e-01 eta: 21:31:07 time: 0.1677 data_time: 0.0014 loss: 2.1627 03/10 12:50:55 - mmengine - INFO - Epoch(train) [14][1800/5005] lr: 1.0000e-01 eta: 21:30:43 time: 0.1688 data_time: 0.0014 loss: 2.4341 03/10 12:51:12 - mmengine - INFO - Epoch(train) [14][1900/5005] lr: 1.0000e-01 eta: 21:30:20 time: 0.1675 data_time: 0.0015 loss: 2.0077 03/10 12:51:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:51:29 - mmengine - INFO - Epoch(train) [14][2000/5005] lr: 1.0000e-01 eta: 21:29:57 time: 0.1672 data_time: 0.0014 loss: 2.1266 03/10 12:51:46 - mmengine - INFO - Epoch(train) [14][2100/5005] lr: 1.0000e-01 eta: 21:29:33 time: 0.1714 data_time: 0.0015 loss: 2.1942 03/10 12:52:03 - mmengine - INFO - Epoch(train) [14][2200/5005] lr: 1.0000e-01 eta: 21:29:09 time: 0.1677 data_time: 0.0017 loss: 2.3618 03/10 12:52:20 - mmengine - INFO - Epoch(train) [14][2300/5005] lr: 1.0000e-01 eta: 21:28:46 time: 0.1928 data_time: 0.0015 loss: 2.2349 03/10 12:52:37 - mmengine - INFO - Epoch(train) [14][2400/5005] lr: 1.0000e-01 eta: 21:28:23 time: 0.1681 data_time: 0.0014 loss: 2.3863 03/10 12:52:54 - mmengine - INFO - Epoch(train) [14][2500/5005] lr: 1.0000e-01 eta: 21:28:00 time: 0.1879 data_time: 0.0015 loss: 2.3562 03/10 12:53:11 - mmengine - INFO - Epoch(train) [14][2600/5005] lr: 1.0000e-01 eta: 21:27:37 time: 0.1691 data_time: 0.0013 loss: 2.1144 03/10 12:53:28 - mmengine - INFO - Epoch(train) [14][2700/5005] lr: 1.0000e-01 eta: 21:27:13 time: 0.1647 data_time: 0.0015 loss: 2.3594 03/10 12:53:45 - mmengine - INFO - Epoch(train) [14][2800/5005] lr: 1.0000e-01 eta: 21:26:49 time: 0.1685 data_time: 0.0014 loss: 2.2299 03/10 12:54:02 - mmengine - INFO - Epoch(train) [14][2900/5005] lr: 1.0000e-01 eta: 21:26:26 time: 0.1653 data_time: 0.0014 loss: 2.4386 03/10 12:54:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:54:19 - mmengine - INFO - Epoch(train) [14][3000/5005] lr: 1.0000e-01 eta: 21:26:03 time: 0.1692 data_time: 0.0014 loss: 2.2346 03/10 12:54:36 - mmengine - INFO - Epoch(train) [14][3100/5005] lr: 1.0000e-01 eta: 21:25:38 time: 0.1686 data_time: 0.0014 loss: 2.4779 03/10 12:54:53 - mmengine - INFO - Epoch(train) [14][3200/5005] lr: 1.0000e-01 eta: 21:25:18 time: 0.1695 data_time: 0.0014 loss: 2.0618 03/10 12:55:10 - mmengine - INFO - Epoch(train) [14][3300/5005] lr: 1.0000e-01 eta: 21:24:53 time: 0.1647 data_time: 0.0014 loss: 2.2567 03/10 12:55:27 - mmengine - INFO - Epoch(train) [14][3400/5005] lr: 1.0000e-01 eta: 21:24:28 time: 0.1671 data_time: 0.0018 loss: 2.4112 03/10 12:55:44 - mmengine - INFO - Epoch(train) [14][3500/5005] lr: 1.0000e-01 eta: 21:24:07 time: 0.1850 data_time: 0.0014 loss: 2.2131 03/10 12:56:01 - mmengine - INFO - Epoch(train) [14][3600/5005] lr: 1.0000e-01 eta: 21:23:43 time: 0.1675 data_time: 0.0015 loss: 2.1166 03/10 12:56:18 - mmengine - INFO - Epoch(train) [14][3700/5005] lr: 1.0000e-01 eta: 21:23:20 time: 0.1666 data_time: 0.0014 loss: 2.4552 03/10 12:56:35 - mmengine - INFO - Epoch(train) [14][3800/5005] lr: 1.0000e-01 eta: 21:22:59 time: 0.1697 data_time: 0.0015 loss: 2.3496 03/10 12:56:52 - mmengine - INFO - Epoch(train) [14][3900/5005] lr: 1.0000e-01 eta: 21:22:34 time: 0.1650 data_time: 0.0014 loss: 2.3685 03/10 12:56:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:57:09 - mmengine - INFO - Epoch(train) [14][4000/5005] lr: 1.0000e-01 eta: 21:22:10 time: 0.1689 data_time: 0.0015 loss: 2.6100 03/10 12:57:26 - mmengine - INFO - Epoch(train) [14][4100/5005] lr: 1.0000e-01 eta: 21:21:47 time: 0.1697 data_time: 0.0014 loss: 2.5073 03/10 12:57:43 - mmengine - INFO - Epoch(train) [14][4200/5005] lr: 1.0000e-01 eta: 21:21:25 time: 0.1693 data_time: 0.0015 loss: 2.4715 03/10 12:58:00 - mmengine - INFO - Epoch(train) [14][4300/5005] lr: 1.0000e-01 eta: 21:21:02 time: 0.1900 data_time: 0.0015 loss: 2.1480 03/10 12:58:18 - mmengine - INFO - Epoch(train) [14][4400/5005] lr: 1.0000e-01 eta: 21:20:41 time: 0.1677 data_time: 0.0014 loss: 2.4058 03/10 12:58:34 - mmengine - INFO - Epoch(train) [14][4500/5005] lr: 1.0000e-01 eta: 21:20:17 time: 0.1670 data_time: 0.0014 loss: 2.1763 03/10 12:58:51 - mmengine - INFO - Epoch(train) [14][4600/5005] lr: 1.0000e-01 eta: 21:19:53 time: 0.1669 data_time: 0.0014 loss: 2.2937 03/10 12:59:08 - mmengine - INFO - Epoch(train) [14][4700/5005] lr: 1.0000e-01 eta: 21:19:30 time: 0.1708 data_time: 0.0015 loss: 2.2552 03/10 12:59:25 - mmengine - INFO - Epoch(train) [14][4800/5005] lr: 1.0000e-01 eta: 21:19:07 time: 0.1648 data_time: 0.0013 loss: 2.1145 03/10 12:59:42 - mmengine - INFO - Epoch(train) [14][4900/5005] lr: 1.0000e-01 eta: 21:18:41 time: 0.1625 data_time: 0.0012 loss: 2.1143 03/10 12:59:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 12:59:58 - mmengine - INFO - Epoch(train) [14][5000/5005] lr: 1.0000e-01 eta: 21:18:16 time: 0.1660 data_time: 0.0014 loss: 2.5572 03/10 12:59:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:00:04 - mmengine - INFO - Saving checkpoint at 14 epochs 03/10 13:00:22 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:00:16 time: 0.0153 data_time: 0.0003 03/10 13:00:36 - mmengine - INFO - Epoch(val) [14][196/196] accuracy/top1: 51.6860 accuracy/top5: 77.4240 03/10 13:01:12 - mmengine - INFO - Epoch(train) [15][ 100/5005] lr: 1.0000e-01 eta: 21:19:44 time: 0.1699 data_time: 0.0017 loss: 2.4607 03/10 13:01:29 - mmengine - INFO - Epoch(train) [15][ 200/5005] lr: 1.0000e-01 eta: 21:19:20 time: 0.1691 data_time: 0.0015 loss: 2.3965 03/10 13:01:46 - mmengine - INFO - Epoch(train) [15][ 300/5005] lr: 1.0000e-01 eta: 21:18:59 time: 0.1721 data_time: 0.0018 loss: 2.1955 03/10 13:02:04 - mmengine - INFO - Epoch(train) [15][ 400/5005] lr: 1.0000e-01 eta: 21:18:41 time: 0.1685 data_time: 0.0018 loss: 2.2703 03/10 13:02:21 - mmengine - INFO - Epoch(train) [15][ 500/5005] lr: 1.0000e-01 eta: 21:18:19 time: 0.1683 data_time: 0.0014 loss: 2.3296 03/10 13:02:39 - mmengine - INFO - Epoch(train) [15][ 600/5005] lr: 1.0000e-01 eta: 21:18:00 time: 0.1704 data_time: 0.0015 loss: 2.1431 03/10 13:02:56 - mmengine - INFO - Epoch(train) [15][ 700/5005] lr: 1.0000e-01 eta: 21:17:36 time: 0.1718 data_time: 0.0016 loss: 2.2113 03/10 13:03:13 - mmengine - INFO - Epoch(train) [15][ 800/5005] lr: 1.0000e-01 eta: 21:17:15 time: 0.1692 data_time: 0.0015 loss: 2.2971 03/10 13:03:30 - mmengine - INFO - Epoch(train) [15][ 900/5005] lr: 1.0000e-01 eta: 21:16:51 time: 0.1678 data_time: 0.0019 loss: 2.2226 03/10 13:03:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:03:48 - mmengine - INFO - Epoch(train) [15][1000/5005] lr: 1.0000e-01 eta: 21:16:35 time: 0.1705 data_time: 0.0015 loss: 2.3373 03/10 13:04:05 - mmengine - INFO - Epoch(train) [15][1100/5005] lr: 1.0000e-01 eta: 21:16:13 time: 0.1690 data_time: 0.0016 loss: 2.3731 03/10 13:04:22 - mmengine - INFO - Epoch(train) [15][1200/5005] lr: 1.0000e-01 eta: 21:15:52 time: 0.1676 data_time: 0.0014 loss: 2.3155 03/10 13:04:39 - mmengine - INFO - Epoch(train) [15][1300/5005] lr: 1.0000e-01 eta: 21:15:29 time: 0.1683 data_time: 0.0015 loss: 2.2785 03/10 13:04:56 - mmengine - INFO - Epoch(train) [15][1400/5005] lr: 1.0000e-01 eta: 21:15:06 time: 0.1678 data_time: 0.0015 loss: 2.0366 03/10 13:05:14 - mmengine - INFO - Epoch(train) [15][1500/5005] lr: 1.0000e-01 eta: 21:14:44 time: 0.1687 data_time: 0.0014 loss: 2.4889 03/10 13:05:31 - mmengine - INFO - Epoch(train) [15][1600/5005] lr: 1.0000e-01 eta: 21:14:21 time: 0.1672 data_time: 0.0015 loss: 2.2748 03/10 13:05:48 - mmengine - INFO - Epoch(train) [15][1700/5005] lr: 1.0000e-01 eta: 21:14:00 time: 0.1705 data_time: 0.0015 loss: 2.2601 03/10 13:06:05 - mmengine - INFO - Epoch(train) [15][1800/5005] lr: 1.0000e-01 eta: 21:13:39 time: 0.1696 data_time: 0.0016 loss: 2.1874 03/10 13:06:22 - mmengine - INFO - Epoch(train) [15][1900/5005] lr: 1.0000e-01 eta: 21:13:16 time: 0.1685 data_time: 0.0017 loss: 2.2518 03/10 13:06:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:06:39 - mmengine - INFO - Epoch(train) [15][2000/5005] lr: 1.0000e-01 eta: 21:12:54 time: 0.1689 data_time: 0.0017 loss: 2.1832 03/10 13:06:57 - mmengine - INFO - Epoch(train) [15][2100/5005] lr: 1.0000e-01 eta: 21:12:32 time: 0.1694 data_time: 0.0015 loss: 2.2266 03/10 13:07:14 - mmengine - INFO - Epoch(train) [15][2200/5005] lr: 1.0000e-01 eta: 21:12:11 time: 0.1685 data_time: 0.0016 loss: 2.4145 03/10 13:07:31 - mmengine - INFO - Epoch(train) [15][2300/5005] lr: 1.0000e-01 eta: 21:11:48 time: 0.1682 data_time: 0.0014 loss: 2.3378 03/10 13:07:48 - mmengine - INFO - Epoch(train) [15][2400/5005] lr: 1.0000e-01 eta: 21:11:26 time: 0.1671 data_time: 0.0015 loss: 2.3334 03/10 13:08:05 - mmengine - INFO - Epoch(train) [15][2500/5005] lr: 1.0000e-01 eta: 21:11:03 time: 0.1676 data_time: 0.0016 loss: 2.2444 03/10 13:08:22 - mmengine - INFO - Epoch(train) [15][2600/5005] lr: 1.0000e-01 eta: 21:10:40 time: 0.1686 data_time: 0.0016 loss: 2.2742 03/10 13:08:39 - mmengine - INFO - Epoch(train) [15][2700/5005] lr: 1.0000e-01 eta: 21:10:18 time: 0.1687 data_time: 0.0016 loss: 2.2164 03/10 13:08:56 - mmengine - INFO - Epoch(train) [15][2800/5005] lr: 1.0000e-01 eta: 21:09:57 time: 0.1670 data_time: 0.0016 loss: 2.0596 03/10 13:09:13 - mmengine - INFO - Epoch(train) [15][2900/5005] lr: 1.0000e-01 eta: 21:09:34 time: 0.1677 data_time: 0.0015 loss: 2.4351 03/10 13:09:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:09:31 - mmengine - INFO - Epoch(train) [15][3000/5005] lr: 1.0000e-01 eta: 21:09:13 time: 0.1665 data_time: 0.0017 loss: 2.1021 03/10 13:09:48 - mmengine - INFO - Epoch(train) [15][3100/5005] lr: 1.0000e-01 eta: 21:08:50 time: 0.1649 data_time: 0.0015 loss: 2.2506 03/10 13:10:05 - mmengine - INFO - Epoch(train) [15][3200/5005] lr: 1.0000e-01 eta: 21:08:28 time: 0.1668 data_time: 0.0016 loss: 2.4129 03/10 13:10:22 - mmengine - INFO - Epoch(train) [15][3300/5005] lr: 1.0000e-01 eta: 21:08:05 time: 0.1673 data_time: 0.0014 loss: 2.2757 03/10 13:10:39 - mmengine - INFO - Epoch(train) [15][3400/5005] lr: 1.0000e-01 eta: 21:07:44 time: 0.1697 data_time: 0.0015 loss: 2.3214 03/10 13:10:56 - mmengine - INFO - Epoch(train) [15][3500/5005] lr: 1.0000e-01 eta: 21:07:22 time: 0.1706 data_time: 0.0016 loss: 2.1623 03/10 13:11:13 - mmengine - INFO - Epoch(train) [15][3600/5005] lr: 1.0000e-01 eta: 21:07:00 time: 0.1669 data_time: 0.0014 loss: 2.2760 03/10 13:11:30 - mmengine - INFO - Epoch(train) [15][3700/5005] lr: 1.0000e-01 eta: 21:06:38 time: 0.1692 data_time: 0.0016 loss: 2.1439 03/10 13:11:47 - mmengine - INFO - Epoch(train) [15][3800/5005] lr: 1.0000e-01 eta: 21:06:15 time: 0.1678 data_time: 0.0015 loss: 2.4120 03/10 13:12:04 - mmengine - INFO - Epoch(train) [15][3900/5005] lr: 1.0000e-01 eta: 21:05:53 time: 0.1676 data_time: 0.0016 loss: 2.2430 03/10 13:12:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:12:21 - mmengine - INFO - Epoch(train) [15][4000/5005] lr: 1.0000e-01 eta: 21:05:31 time: 0.1681 data_time: 0.0015 loss: 2.4519 03/10 13:12:39 - mmengine - INFO - Epoch(train) [15][4100/5005] lr: 1.0000e-01 eta: 21:05:09 time: 0.1677 data_time: 0.0015 loss: 2.2207 03/10 13:12:56 - mmengine - INFO - Epoch(train) [15][4200/5005] lr: 1.0000e-01 eta: 21:04:49 time: 0.1841 data_time: 0.0015 loss: 2.3008 03/10 13:13:13 - mmengine - INFO - Epoch(train) [15][4300/5005] lr: 1.0000e-01 eta: 21:04:26 time: 0.1663 data_time: 0.0015 loss: 2.4625 03/10 13:13:30 - mmengine - INFO - Epoch(train) [15][4400/5005] lr: 1.0000e-01 eta: 21:04:03 time: 0.1667 data_time: 0.0016 loss: 2.3495 03/10 13:13:47 - mmengine - INFO - Epoch(train) [15][4500/5005] lr: 1.0000e-01 eta: 21:03:41 time: 0.1703 data_time: 0.0015 loss: 2.2300 03/10 13:14:04 - mmengine - INFO - Epoch(train) [15][4600/5005] lr: 1.0000e-01 eta: 21:03:18 time: 0.1729 data_time: 0.0015 loss: 2.2196 03/10 13:14:21 - mmengine - INFO - Epoch(train) [15][4700/5005] lr: 1.0000e-01 eta: 21:02:57 time: 0.1674 data_time: 0.0014 loss: 2.2196 03/10 13:14:38 - mmengine - INFO - Epoch(train) [15][4800/5005] lr: 1.0000e-01 eta: 21:02:35 time: 0.1718 data_time: 0.0018 loss: 2.5077 03/10 13:14:55 - mmengine - INFO - Epoch(train) [15][4900/5005] lr: 1.0000e-01 eta: 21:02:14 time: 0.1752 data_time: 0.0013 loss: 2.4124 03/10 13:15:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:15:13 - mmengine - INFO - Epoch(train) [15][5000/5005] lr: 1.0000e-01 eta: 21:01:53 time: 0.1651 data_time: 0.0013 loss: 2.2021 03/10 13:15:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:15:18 - mmengine - INFO - Saving checkpoint at 15 epochs 03/10 13:15:37 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:00:17 time: 0.0164 data_time: 0.0004 03/10 13:15:52 - mmengine - INFO - Epoch(val) [15][196/196] accuracy/top1: 53.3740 accuracy/top5: 78.7140 03/10 13:16:27 - mmengine - INFO - Epoch(train) [16][ 100/5005] lr: 1.0000e-01 eta: 21:03:12 time: 0.1709 data_time: 0.0016 loss: 1.9683 03/10 13:16:44 - mmengine - INFO - Epoch(train) [16][ 200/5005] lr: 1.0000e-01 eta: 21:02:50 time: 0.1695 data_time: 0.0015 loss: 2.2185 03/10 13:17:01 - mmengine - INFO - Epoch(train) [16][ 300/5005] lr: 1.0000e-01 eta: 21:02:28 time: 0.1689 data_time: 0.0017 loss: 2.0918 03/10 13:17:18 - mmengine - INFO - Epoch(train) [16][ 400/5005] lr: 1.0000e-01 eta: 21:02:08 time: 0.1700 data_time: 0.0015 loss: 2.2954 03/10 13:17:36 - mmengine - INFO - Epoch(train) [16][ 500/5005] lr: 1.0000e-01 eta: 21:01:48 time: 0.1696 data_time: 0.0020 loss: 2.2592 03/10 13:17:53 - mmengine - INFO - Epoch(train) [16][ 600/5005] lr: 1.0000e-01 eta: 21:01:25 time: 0.1708 data_time: 0.0016 loss: 2.1101 03/10 13:18:10 - mmengine - INFO - Epoch(train) [16][ 700/5005] lr: 1.0000e-01 eta: 21:01:05 time: 0.1657 data_time: 0.0014 loss: 2.2181 03/10 13:18:27 - mmengine - INFO - Epoch(train) [16][ 800/5005] lr: 1.0000e-01 eta: 21:00:43 time: 0.1687 data_time: 0.0014 loss: 2.2561 03/10 13:18:45 - mmengine - INFO - Epoch(train) [16][ 900/5005] lr: 1.0000e-01 eta: 21:00:21 time: 0.1692 data_time: 0.0014 loss: 2.5317 03/10 13:18:49 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:19:02 - mmengine - INFO - Epoch(train) [16][1000/5005] lr: 1.0000e-01 eta: 20:59:59 time: 0.1692 data_time: 0.0015 loss: 2.2779 03/10 13:19:19 - mmengine - INFO - Epoch(train) [16][1100/5005] lr: 1.0000e-01 eta: 20:59:37 time: 0.1689 data_time: 0.0016 loss: 2.1910 03/10 13:19:36 - mmengine - INFO - Epoch(train) [16][1200/5005] lr: 1.0000e-01 eta: 20:59:14 time: 0.1679 data_time: 0.0016 loss: 2.3120 03/10 13:19:53 - mmengine - INFO - Epoch(train) [16][1300/5005] lr: 1.0000e-01 eta: 20:58:53 time: 0.1677 data_time: 0.0015 loss: 2.3553 03/10 13:20:10 - mmengine - INFO - Epoch(train) [16][1400/5005] lr: 1.0000e-01 eta: 20:58:30 time: 0.1691 data_time: 0.0015 loss: 2.2246 03/10 13:20:27 - mmengine - INFO - Epoch(train) [16][1500/5005] lr: 1.0000e-01 eta: 20:58:08 time: 0.1685 data_time: 0.0014 loss: 2.2125 03/10 13:20:44 - mmengine - INFO - Epoch(train) [16][1600/5005] lr: 1.0000e-01 eta: 20:57:45 time: 0.1671 data_time: 0.0015 loss: 2.2704 03/10 13:21:01 - mmengine - INFO - Epoch(train) [16][1700/5005] lr: 1.0000e-01 eta: 20:57:23 time: 0.1682 data_time: 0.0014 loss: 2.1808 03/10 13:21:18 - mmengine - INFO - Epoch(train) [16][1800/5005] lr: 1.0000e-01 eta: 20:57:00 time: 0.1658 data_time: 0.0016 loss: 2.3960 03/10 13:21:35 - mmengine - INFO - Epoch(train) [16][1900/5005] lr: 1.0000e-01 eta: 20:56:41 time: 0.1715 data_time: 0.0016 loss: 2.3499 03/10 13:21:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:21:52 - mmengine - INFO - Epoch(train) [16][2000/5005] lr: 1.0000e-01 eta: 20:56:18 time: 0.1663 data_time: 0.0015 loss: 2.6077 03/10 13:22:09 - mmengine - INFO - Epoch(train) [16][2100/5005] lr: 1.0000e-01 eta: 20:55:55 time: 0.1682 data_time: 0.0015 loss: 2.2590 03/10 13:22:26 - mmengine - INFO - Epoch(train) [16][2200/5005] lr: 1.0000e-01 eta: 20:55:34 time: 0.1668 data_time: 0.0017 loss: 2.1650 03/10 13:22:43 - mmengine - INFO - Epoch(train) [16][2300/5005] lr: 1.0000e-01 eta: 20:55:11 time: 0.1684 data_time: 0.0015 loss: 2.1639 03/10 13:23:00 - mmengine - INFO - Epoch(train) [16][2400/5005] lr: 1.0000e-01 eta: 20:54:49 time: 0.1673 data_time: 0.0014 loss: 2.3111 03/10 13:23:18 - mmengine - INFO - Epoch(train) [16][2500/5005] lr: 1.0000e-01 eta: 20:54:30 time: 0.1690 data_time: 0.0015 loss: 2.2838 03/10 13:23:35 - mmengine - INFO - Epoch(train) [16][2600/5005] lr: 1.0000e-01 eta: 20:54:06 time: 0.1682 data_time: 0.0015 loss: 2.1587 03/10 13:23:52 - mmengine - INFO - Epoch(train) [16][2700/5005] lr: 1.0000e-01 eta: 20:53:44 time: 0.1670 data_time: 0.0015 loss: 2.1442 03/10 13:24:09 - mmengine - INFO - Epoch(train) [16][2800/5005] lr: 1.0000e-01 eta: 20:53:22 time: 0.1679 data_time: 0.0016 loss: 2.3634 03/10 13:24:26 - mmengine - INFO - Epoch(train) [16][2900/5005] lr: 1.0000e-01 eta: 20:53:01 time: 0.1673 data_time: 0.0015 loss: 2.2317 03/10 13:24:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:24:43 - mmengine - INFO - Epoch(train) [16][3000/5005] lr: 1.0000e-01 eta: 20:52:39 time: 0.1743 data_time: 0.0017 loss: 2.1649 03/10 13:25:00 - mmengine - INFO - Epoch(train) [16][3100/5005] lr: 1.0000e-01 eta: 20:52:19 time: 0.1679 data_time: 0.0016 loss: 2.5635 03/10 13:25:17 - mmengine - INFO - Epoch(train) [16][3200/5005] lr: 1.0000e-01 eta: 20:51:56 time: 0.1672 data_time: 0.0014 loss: 2.3932 03/10 13:25:34 - mmengine - INFO - Epoch(train) [16][3300/5005] lr: 1.0000e-01 eta: 20:51:35 time: 0.1691 data_time: 0.0015 loss: 2.3368 03/10 13:25:51 - mmengine - INFO - Epoch(train) [16][3400/5005] lr: 1.0000e-01 eta: 20:51:13 time: 0.1687 data_time: 0.0016 loss: 2.1557 03/10 13:26:09 - mmengine - INFO - Epoch(train) [16][3500/5005] lr: 1.0000e-01 eta: 20:50:52 time: 0.1889 data_time: 0.0015 loss: 2.1590 03/10 13:26:26 - mmengine - INFO - Epoch(train) [16][3600/5005] lr: 1.0000e-01 eta: 20:50:30 time: 0.1672 data_time: 0.0016 loss: 2.2783 03/10 13:26:43 - mmengine - INFO - Epoch(train) [16][3700/5005] lr: 1.0000e-01 eta: 20:50:09 time: 0.1682 data_time: 0.0016 loss: 2.2189 03/10 13:27:00 - mmengine - INFO - Epoch(train) [16][3800/5005] lr: 1.0000e-01 eta: 20:49:47 time: 0.1691 data_time: 0.0016 loss: 2.2636 03/10 13:27:17 - mmengine - INFO - Epoch(train) [16][3900/5005] lr: 1.0000e-01 eta: 20:49:25 time: 0.1682 data_time: 0.0015 loss: 2.5425 03/10 13:27:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:27:34 - mmengine - INFO - Epoch(train) [16][4000/5005] lr: 1.0000e-01 eta: 20:49:02 time: 0.1672 data_time: 0.0016 loss: 2.4957 03/10 13:27:51 - mmengine - INFO - Epoch(train) [16][4100/5005] lr: 1.0000e-01 eta: 20:48:43 time: 0.1668 data_time: 0.0015 loss: 2.5014 03/10 13:28:09 - mmengine - INFO - Epoch(train) [16][4200/5005] lr: 1.0000e-01 eta: 20:48:22 time: 0.2012 data_time: 0.0016 loss: 2.2328 03/10 13:28:26 - mmengine - INFO - Epoch(train) [16][4300/5005] lr: 1.0000e-01 eta: 20:48:00 time: 0.1670 data_time: 0.0016 loss: 2.3981 03/10 13:28:43 - mmengine - INFO - Epoch(train) [16][4400/5005] lr: 1.0000e-01 eta: 20:47:38 time: 0.1680 data_time: 0.0015 loss: 2.2104 03/10 13:29:00 - mmengine - INFO - Epoch(train) [16][4500/5005] lr: 1.0000e-01 eta: 20:47:16 time: 0.1678 data_time: 0.0015 loss: 2.3359 03/10 13:29:16 - mmengine - INFO - Epoch(train) [16][4600/5005] lr: 1.0000e-01 eta: 20:46:53 time: 0.1673 data_time: 0.0015 loss: 2.2715 03/10 13:29:34 - mmengine - INFO - Epoch(train) [16][4700/5005] lr: 1.0000e-01 eta: 20:46:34 time: 0.1849 data_time: 0.0014 loss: 2.4571 03/10 13:29:51 - mmengine - INFO - Epoch(train) [16][4800/5005] lr: 1.0000e-01 eta: 20:46:10 time: 0.1666 data_time: 0.0014 loss: 2.2439 03/10 13:30:07 - mmengine - INFO - Epoch(train) [16][4900/5005] lr: 1.0000e-01 eta: 20:45:46 time: 0.1645 data_time: 0.0012 loss: 2.2510 03/10 13:30:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:30:24 - mmengine - INFO - Epoch(train) [16][5000/5005] lr: 1.0000e-01 eta: 20:45:21 time: 0.1664 data_time: 0.0013 loss: 2.2858 03/10 13:30:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:30:28 - mmengine - INFO - Saving checkpoint at 16 epochs 03/10 13:30:47 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:00:17 time: 0.0166 data_time: 0.0004 03/10 13:31:02 - mmengine - INFO - Epoch(val) [16][196/196] accuracy/top1: 54.0560 accuracy/top5: 79.7860 03/10 13:31:36 - mmengine - INFO - Epoch(train) [17][ 100/5005] lr: 1.0000e-01 eta: 20:46:31 time: 0.1708 data_time: 0.0018 loss: 2.3342 03/10 13:31:54 - mmengine - INFO - Epoch(train) [17][ 200/5005] lr: 1.0000e-01 eta: 20:46:10 time: 0.1703 data_time: 0.0016 loss: 2.1575 03/10 13:32:11 - mmengine - INFO - Epoch(train) [17][ 300/5005] lr: 1.0000e-01 eta: 20:45:52 time: 0.2202 data_time: 0.0016 loss: 2.1926 03/10 13:32:29 - mmengine - INFO - Epoch(train) [17][ 400/5005] lr: 1.0000e-01 eta: 20:45:35 time: 0.1691 data_time: 0.0014 loss: 2.2176 03/10 13:32:46 - mmengine - INFO - Epoch(train) [17][ 500/5005] lr: 1.0000e-01 eta: 20:45:13 time: 0.1691 data_time: 0.0017 loss: 2.3200 03/10 13:33:03 - mmengine - INFO - Epoch(train) [17][ 600/5005] lr: 1.0000e-01 eta: 20:44:51 time: 0.1675 data_time: 0.0014 loss: 2.3820 03/10 13:33:20 - mmengine - INFO - Epoch(train) [17][ 700/5005] lr: 1.0000e-01 eta: 20:44:29 time: 0.1680 data_time: 0.0017 loss: 2.2353 03/10 13:33:38 - mmengine - INFO - Epoch(train) [17][ 800/5005] lr: 1.0000e-01 eta: 20:44:08 time: 0.1660 data_time: 0.0016 loss: 2.1439 03/10 13:33:55 - mmengine - INFO - Epoch(train) [17][ 900/5005] lr: 1.0000e-01 eta: 20:43:48 time: 0.1664 data_time: 0.0014 loss: 2.2771 03/10 13:33:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:34:13 - mmengine - INFO - Epoch(train) [17][1000/5005] lr: 1.0000e-01 eta: 20:43:32 time: 0.1656 data_time: 0.0015 loss: 2.2930 03/10 13:34:30 - mmengine - INFO - Epoch(train) [17][1100/5005] lr: 1.0000e-01 eta: 20:43:09 time: 0.1675 data_time: 0.0016 loss: 2.3089 03/10 13:34:47 - mmengine - INFO - Epoch(train) [17][1200/5005] lr: 1.0000e-01 eta: 20:42:47 time: 0.1845 data_time: 0.0016 loss: 2.0913 03/10 13:35:04 - mmengine - INFO - Epoch(train) [17][1300/5005] lr: 1.0000e-01 eta: 20:42:24 time: 0.1698 data_time: 0.0015 loss: 2.4628 03/10 13:35:21 - mmengine - INFO - Epoch(train) [17][1400/5005] lr: 1.0000e-01 eta: 20:42:03 time: 0.1683 data_time: 0.0016 loss: 2.1203 03/10 13:35:39 - mmengine - INFO - Epoch(train) [17][1500/5005] lr: 1.0000e-01 eta: 20:41:45 time: 0.1685 data_time: 0.0016 loss: 2.1739 03/10 13:35:56 - mmengine - INFO - Epoch(train) [17][1600/5005] lr: 1.0000e-01 eta: 20:41:24 time: 0.1683 data_time: 0.0017 loss: 2.3720 03/10 13:36:13 - mmengine - INFO - Epoch(train) [17][1700/5005] lr: 1.0000e-01 eta: 20:41:01 time: 0.1666 data_time: 0.0016 loss: 2.0067 03/10 13:36:30 - mmengine - INFO - Epoch(train) [17][1800/5005] lr: 1.0000e-01 eta: 20:40:39 time: 0.1869 data_time: 0.0016 loss: 2.2938 03/10 13:36:47 - mmengine - INFO - Epoch(train) [17][1900/5005] lr: 1.0000e-01 eta: 20:40:16 time: 0.1693 data_time: 0.0016 loss: 2.0226 03/10 13:36:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:37:04 - mmengine - INFO - Epoch(train) [17][2000/5005] lr: 1.0000e-01 eta: 20:39:56 time: 0.1703 data_time: 0.0016 loss: 2.4117 03/10 13:37:21 - mmengine - INFO - Epoch(train) [17][2100/5005] lr: 1.0000e-01 eta: 20:39:35 time: 0.1654 data_time: 0.0015 loss: 2.2936 03/10 13:37:38 - mmengine - INFO - Epoch(train) [17][2200/5005] lr: 1.0000e-01 eta: 20:39:15 time: 0.1846 data_time: 0.0017 loss: 2.3358 03/10 13:37:55 - mmengine - INFO - Epoch(train) [17][2300/5005] lr: 1.0000e-01 eta: 20:38:52 time: 0.1695 data_time: 0.0015 loss: 2.4358 03/10 13:38:12 - mmengine - INFO - Epoch(train) [17][2400/5005] lr: 1.0000e-01 eta: 20:38:30 time: 0.1771 data_time: 0.0015 loss: 2.3247 03/10 13:38:29 - mmengine - INFO - Epoch(train) [17][2500/5005] lr: 1.0000e-01 eta: 20:38:08 time: 0.1689 data_time: 0.0014 loss: 2.4163 03/10 13:38:46 - mmengine - INFO - Epoch(train) [17][2600/5005] lr: 1.0000e-01 eta: 20:37:46 time: 0.1679 data_time: 0.0016 loss: 2.2307 03/10 13:39:04 - mmengine - INFO - Epoch(train) [17][2700/5005] lr: 1.0000e-01 eta: 20:37:27 time: 0.1680 data_time: 0.0015 loss: 1.8914 03/10 13:39:21 - mmengine - INFO - Epoch(train) [17][2800/5005] lr: 1.0000e-01 eta: 20:37:05 time: 0.1672 data_time: 0.0014 loss: 2.2417 03/10 13:39:38 - mmengine - INFO - Epoch(train) [17][2900/5005] lr: 1.0000e-01 eta: 20:36:44 time: 0.1701 data_time: 0.0015 loss: 2.4280 03/10 13:39:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:39:55 - mmengine - INFO - Epoch(train) [17][3000/5005] lr: 1.0000e-01 eta: 20:36:21 time: 0.1701 data_time: 0.0014 loss: 2.2580 03/10 13:40:12 - mmengine - INFO - Epoch(train) [17][3100/5005] lr: 1.0000e-01 eta: 20:35:59 time: 0.1683 data_time: 0.0015 loss: 2.3178 03/10 13:40:28 - mmengine - INFO - Epoch(train) [17][3200/5005] lr: 1.0000e-01 eta: 20:35:37 time: 0.1694 data_time: 0.0016 loss: 2.4025 03/10 13:40:46 - mmengine - INFO - Epoch(train) [17][3300/5005] lr: 1.0000e-01 eta: 20:35:17 time: 0.1689 data_time: 0.0016 loss: 2.3437 03/10 13:41:03 - mmengine - INFO - Epoch(train) [17][3400/5005] lr: 1.0000e-01 eta: 20:34:54 time: 0.1720 data_time: 0.0015 loss: 2.1211 03/10 13:41:20 - mmengine - INFO - Epoch(train) [17][3500/5005] lr: 1.0000e-01 eta: 20:34:33 time: 0.1679 data_time: 0.0014 loss: 2.2538 03/10 13:41:37 - mmengine - INFO - Epoch(train) [17][3600/5005] lr: 1.0000e-01 eta: 20:34:11 time: 0.1676 data_time: 0.0014 loss: 2.3807 03/10 13:41:54 - mmengine - INFO - Epoch(train) [17][3700/5005] lr: 1.0000e-01 eta: 20:33:50 time: 0.1669 data_time: 0.0014 loss: 2.1886 03/10 13:42:11 - mmengine - INFO - Epoch(train) [17][3800/5005] lr: 1.0000e-01 eta: 20:33:28 time: 0.1691 data_time: 0.0017 loss: 2.2781 03/10 13:42:28 - mmengine - INFO - Epoch(train) [17][3900/5005] lr: 1.0000e-01 eta: 20:33:07 time: 0.1827 data_time: 0.0014 loss: 2.3548 03/10 13:42:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:42:45 - mmengine - INFO - Epoch(train) [17][4000/5005] lr: 1.0000e-01 eta: 20:32:46 time: 0.1684 data_time: 0.0015 loss: 2.2769 03/10 13:43:02 - mmengine - INFO - Epoch(train) [17][4100/5005] lr: 1.0000e-01 eta: 20:32:25 time: 0.1674 data_time: 0.0015 loss: 2.4877 03/10 13:43:19 - mmengine - INFO - Epoch(train) [17][4200/5005] lr: 1.0000e-01 eta: 20:32:03 time: 0.1699 data_time: 0.0014 loss: 2.5324 03/10 13:43:36 - mmengine - INFO - Epoch(train) [17][4300/5005] lr: 1.0000e-01 eta: 20:31:42 time: 0.1683 data_time: 0.0015 loss: 2.0378 03/10 13:43:53 - mmengine - INFO - Epoch(train) [17][4400/5005] lr: 1.0000e-01 eta: 20:31:19 time: 0.1702 data_time: 0.0014 loss: 2.2220 03/10 13:44:10 - mmengine - INFO - Epoch(train) [17][4500/5005] lr: 1.0000e-01 eta: 20:30:59 time: 0.1832 data_time: 0.0014 loss: 2.4031 03/10 13:44:27 - mmengine - INFO - Epoch(train) [17][4600/5005] lr: 1.0000e-01 eta: 20:30:38 time: 0.1689 data_time: 0.0016 loss: 2.3390 03/10 13:44:44 - mmengine - INFO - Epoch(train) [17][4700/5005] lr: 1.0000e-01 eta: 20:30:17 time: 0.1678 data_time: 0.0014 loss: 2.3840 03/10 13:45:01 - mmengine - INFO - Epoch(train) [17][4800/5005] lr: 1.0000e-01 eta: 20:29:55 time: 0.1706 data_time: 0.0013 loss: 2.1124 03/10 13:45:18 - mmengine - INFO - Epoch(train) [17][4900/5005] lr: 1.0000e-01 eta: 20:29:33 time: 0.1695 data_time: 0.0015 loss: 2.4764 03/10 13:45:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:45:35 - mmengine - INFO - Epoch(train) [17][5000/5005] lr: 1.0000e-01 eta: 20:29:10 time: 0.1659 data_time: 0.0012 loss: 1.9561 03/10 13:45:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:45:41 - mmengine - INFO - Saving checkpoint at 17 epochs 03/10 13:46:00 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:00:17 time: 0.0162 data_time: 0.0004 03/10 13:46:14 - mmengine - INFO - Epoch(val) [17][196/196] accuracy/top1: 51.7720 accuracy/top5: 78.0180 03/10 13:46:49 - mmengine - INFO - Epoch(train) [18][ 100/5005] lr: 1.0000e-01 eta: 20:30:16 time: 0.1929 data_time: 0.0019 loss: 2.2332 03/10 13:47:07 - mmengine - INFO - Epoch(train) [18][ 200/5005] lr: 1.0000e-01 eta: 20:29:57 time: 0.1673 data_time: 0.0013 loss: 2.0924 03/10 13:47:24 - mmengine - INFO - Epoch(train) [18][ 300/5005] lr: 1.0000e-01 eta: 20:29:35 time: 0.1666 data_time: 0.0020 loss: 2.1779 03/10 13:47:41 - mmengine - INFO - Epoch(train) [18][ 400/5005] lr: 1.0000e-01 eta: 20:29:15 time: 0.1711 data_time: 0.0015 loss: 2.4496 03/10 13:47:58 - mmengine - INFO - Epoch(train) [18][ 500/5005] lr: 1.0000e-01 eta: 20:28:54 time: 0.1689 data_time: 0.0016 loss: 2.3085 03/10 13:48:16 - mmengine - INFO - Epoch(train) [18][ 600/5005] lr: 1.0000e-01 eta: 20:28:34 time: 0.1663 data_time: 0.0018 loss: 2.4216 03/10 13:48:33 - mmengine - INFO - Epoch(train) [18][ 700/5005] lr: 1.0000e-01 eta: 20:28:15 time: 0.1679 data_time: 0.0015 loss: 2.3366 03/10 13:48:51 - mmengine - INFO - Epoch(train) [18][ 800/5005] lr: 1.0000e-01 eta: 20:27:54 time: 0.1678 data_time: 0.0016 loss: 2.2491 03/10 13:49:07 - mmengine - INFO - Epoch(train) [18][ 900/5005] lr: 1.0000e-01 eta: 20:27:32 time: 0.1689 data_time: 0.0015 loss: 2.5800 03/10 13:49:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:49:25 - mmengine - INFO - Epoch(train) [18][1000/5005] lr: 1.0000e-01 eta: 20:27:12 time: 0.1690 data_time: 0.0015 loss: 2.2597 03/10 13:49:42 - mmengine - INFO - Epoch(train) [18][1100/5005] lr: 1.0000e-01 eta: 20:26:50 time: 0.1685 data_time: 0.0015 loss: 2.4393 03/10 13:49:59 - mmengine - INFO - Epoch(train) [18][1200/5005] lr: 1.0000e-01 eta: 20:26:28 time: 0.1650 data_time: 0.0017 loss: 2.0799 03/10 13:50:16 - mmengine - INFO - Epoch(train) [18][1300/5005] lr: 1.0000e-01 eta: 20:26:10 time: 0.1722 data_time: 0.0016 loss: 2.3227 03/10 13:50:33 - mmengine - INFO - Epoch(train) [18][1400/5005] lr: 1.0000e-01 eta: 20:25:48 time: 0.1686 data_time: 0.0016 loss: 2.3595 03/10 13:50:50 - mmengine - INFO - Epoch(train) [18][1500/5005] lr: 1.0000e-01 eta: 20:25:26 time: 0.1678 data_time: 0.0016 loss: 2.3438 03/10 13:51:08 - mmengine - INFO - Epoch(train) [18][1600/5005] lr: 1.0000e-01 eta: 20:25:07 time: 0.1682 data_time: 0.0017 loss: 2.1221 03/10 13:51:25 - mmengine - INFO - Epoch(train) [18][1700/5005] lr: 1.0000e-01 eta: 20:24:45 time: 0.1664 data_time: 0.0016 loss: 2.2725 03/10 13:51:42 - mmengine - INFO - Epoch(train) [18][1800/5005] lr: 1.0000e-01 eta: 20:24:26 time: 0.1679 data_time: 0.0016 loss: 2.2974 03/10 13:52:00 - mmengine - INFO - Epoch(train) [18][1900/5005] lr: 1.0000e-01 eta: 20:24:06 time: 0.1644 data_time: 0.0015 loss: 2.3221 03/10 13:52:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:52:16 - mmengine - INFO - Epoch(train) [18][2000/5005] lr: 1.0000e-01 eta: 20:23:44 time: 0.1684 data_time: 0.0016 loss: 2.4926 03/10 13:52:33 - mmengine - INFO - Epoch(train) [18][2100/5005] lr: 1.0000e-01 eta: 20:23:23 time: 0.1856 data_time: 0.0015 loss: 2.4581 03/10 13:52:51 - mmengine - INFO - Epoch(train) [18][2200/5005] lr: 1.0000e-01 eta: 20:23:02 time: 0.1699 data_time: 0.0015 loss: 2.1213 03/10 13:53:07 - mmengine - INFO - Epoch(train) [18][2300/5005] lr: 1.0000e-01 eta: 20:22:40 time: 0.1693 data_time: 0.0016 loss: 2.3271 03/10 13:53:25 - mmengine - INFO - Epoch(train) [18][2400/5005] lr: 1.0000e-01 eta: 20:22:21 time: 0.1685 data_time: 0.0015 loss: 2.3668 03/10 13:53:42 - mmengine - INFO - Epoch(train) [18][2500/5005] lr: 1.0000e-01 eta: 20:22:01 time: 0.1690 data_time: 0.0016 loss: 2.3429 03/10 13:53:59 - mmengine - INFO - Epoch(train) [18][2600/5005] lr: 1.0000e-01 eta: 20:21:39 time: 0.1680 data_time: 0.0015 loss: 2.2135 03/10 13:54:16 - mmengine - INFO - Epoch(train) [18][2700/5005] lr: 1.0000e-01 eta: 20:21:17 time: 0.1711 data_time: 0.0016 loss: 2.1408 03/10 13:54:33 - mmengine - INFO - Epoch(train) [18][2800/5005] lr: 1.0000e-01 eta: 20:20:57 time: 0.1691 data_time: 0.0015 loss: 2.1831 03/10 13:54:50 - mmengine - INFO - Epoch(train) [18][2900/5005] lr: 1.0000e-01 eta: 20:20:34 time: 0.1677 data_time: 0.0015 loss: 2.4532 03/10 13:54:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:55:08 - mmengine - INFO - Epoch(train) [18][3000/5005] lr: 1.0000e-01 eta: 20:20:16 time: 0.1681 data_time: 0.0017 loss: 2.2297 03/10 13:55:25 - mmengine - INFO - Epoch(train) [18][3100/5005] lr: 1.0000e-01 eta: 20:19:57 time: 0.1686 data_time: 0.0017 loss: 2.3142 03/10 13:55:42 - mmengine - INFO - Epoch(train) [18][3200/5005] lr: 1.0000e-01 eta: 20:19:35 time: 0.1680 data_time: 0.0017 loss: 2.0742 03/10 13:55:59 - mmengine - INFO - Epoch(train) [18][3300/5005] lr: 1.0000e-01 eta: 20:19:13 time: 0.1686 data_time: 0.0017 loss: 2.1682 03/10 13:56:16 - mmengine - INFO - Epoch(train) [18][3400/5005] lr: 1.0000e-01 eta: 20:18:52 time: 0.1703 data_time: 0.0016 loss: 2.3239 03/10 13:56:33 - mmengine - INFO - Epoch(train) [18][3500/5005] lr: 1.0000e-01 eta: 20:18:31 time: 0.1692 data_time: 0.0017 loss: 2.0538 03/10 13:56:51 - mmengine - INFO - Epoch(train) [18][3600/5005] lr: 1.0000e-01 eta: 20:18:11 time: 0.1664 data_time: 0.0015 loss: 2.3567 03/10 13:57:08 - mmengine - INFO - Epoch(train) [18][3700/5005] lr: 1.0000e-01 eta: 20:17:51 time: 0.1689 data_time: 0.0016 loss: 2.4260 03/10 13:57:25 - mmengine - INFO - Epoch(train) [18][3800/5005] lr: 1.0000e-01 eta: 20:17:29 time: 0.1669 data_time: 0.0017 loss: 2.1824 03/10 13:57:42 - mmengine - INFO - Epoch(train) [18][3900/5005] lr: 1.0000e-01 eta: 20:17:07 time: 0.1673 data_time: 0.0015 loss: 2.3259 03/10 13:57:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 13:57:59 - mmengine - INFO - Epoch(train) [18][4000/5005] lr: 1.0000e-01 eta: 20:16:46 time: 0.1688 data_time: 0.0016 loss: 2.0959 03/10 13:58:16 - mmengine - INFO - Epoch(train) [18][4100/5005] lr: 1.0000e-01 eta: 20:16:25 time: 0.1685 data_time: 0.0016 loss: 2.5372 03/10 13:58:33 - mmengine - INFO - Epoch(train) [18][4200/5005] lr: 1.0000e-01 eta: 20:16:07 time: 0.2032 data_time: 0.0015 loss: 2.1785 03/10 13:58:50 - mmengine - INFO - Epoch(train) [18][4300/5005] lr: 1.0000e-01 eta: 20:15:45 time: 0.1659 data_time: 0.0015 loss: 2.2302 03/10 13:59:07 - mmengine - INFO - Epoch(train) [18][4400/5005] lr: 1.0000e-01 eta: 20:15:23 time: 0.1688 data_time: 0.0015 loss: 2.3064 03/10 13:59:24 - mmengine - INFO - Epoch(train) [18][4500/5005] lr: 1.0000e-01 eta: 20:15:02 time: 0.1667 data_time: 0.0016 loss: 2.2210 03/10 13:59:41 - mmengine - INFO - Epoch(train) [18][4600/5005] lr: 1.0000e-01 eta: 20:14:41 time: 0.1680 data_time: 0.0015 loss: 2.3900 03/10 13:59:59 - mmengine - INFO - Epoch(train) [18][4700/5005] lr: 1.0000e-01 eta: 20:14:21 time: 0.1680 data_time: 0.0015 loss: 2.3099 03/10 14:00:15 - mmengine - INFO - Epoch(train) [18][4800/5005] lr: 1.0000e-01 eta: 20:13:59 time: 0.1678 data_time: 0.0013 loss: 2.1531 03/10 14:00:32 - mmengine - INFO - Epoch(train) [18][4900/5005] lr: 1.0000e-01 eta: 20:13:36 time: 0.1663 data_time: 0.0014 loss: 2.2048 03/10 14:00:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:00:49 - mmengine - INFO - Epoch(train) [18][5000/5005] lr: 1.0000e-01 eta: 20:13:13 time: 0.1624 data_time: 0.0014 loss: 2.1678 03/10 14:00:49 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:00:54 - mmengine - INFO - Saving checkpoint at 18 epochs 03/10 14:01:13 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:00:17 time: 0.0175 data_time: 0.0004 03/10 14:01:27 - mmengine - INFO - Epoch(val) [18][196/196] accuracy/top1: 53.7940 accuracy/top5: 79.0420 03/10 14:02:02 - mmengine - INFO - Epoch(train) [19][ 100/5005] lr: 1.0000e-01 eta: 20:14:13 time: 0.1673 data_time: 0.0019 loss: 2.1615 03/10 14:02:19 - mmengine - INFO - Epoch(train) [19][ 200/5005] lr: 1.0000e-01 eta: 20:13:51 time: 0.1696 data_time: 0.0020 loss: 2.3912 03/10 14:02:37 - mmengine - INFO - Epoch(train) [19][ 300/5005] lr: 1.0000e-01 eta: 20:13:33 time: 0.1681 data_time: 0.0015 loss: 2.2647 03/10 14:02:54 - mmengine - INFO - Epoch(train) [19][ 400/5005] lr: 1.0000e-01 eta: 20:13:13 time: 0.1651 data_time: 0.0015 loss: 2.3654 03/10 14:03:11 - mmengine - INFO - Epoch(train) [19][ 500/5005] lr: 1.0000e-01 eta: 20:12:51 time: 0.1678 data_time: 0.0018 loss: 2.4453 03/10 14:03:28 - mmengine - INFO - Epoch(train) [19][ 600/5005] lr: 1.0000e-01 eta: 20:12:29 time: 0.1691 data_time: 0.0015 loss: 2.2179 03/10 14:03:45 - mmengine - INFO - Epoch(train) [19][ 700/5005] lr: 1.0000e-01 eta: 20:12:07 time: 0.1684 data_time: 0.0015 loss: 2.2628 03/10 14:04:02 - mmengine - INFO - Epoch(train) [19][ 800/5005] lr: 1.0000e-01 eta: 20:11:46 time: 0.1678 data_time: 0.0017 loss: 2.3182 03/10 14:04:19 - mmengine - INFO - Epoch(train) [19][ 900/5005] lr: 1.0000e-01 eta: 20:11:28 time: 0.1669 data_time: 0.0016 loss: 2.3013 03/10 14:04:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:04:37 - mmengine - INFO - Epoch(train) [19][1000/5005] lr: 1.0000e-01 eta: 20:11:07 time: 0.1713 data_time: 0.0016 loss: 2.1225 03/10 14:04:53 - mmengine - INFO - Epoch(train) [19][1100/5005] lr: 1.0000e-01 eta: 20:10:45 time: 0.1702 data_time: 0.0015 loss: 2.1419 03/10 14:05:10 - mmengine - INFO - Epoch(train) [19][1200/5005] lr: 1.0000e-01 eta: 20:10:24 time: 0.1819 data_time: 0.0015 loss: 2.3224 03/10 14:05:27 - mmengine - INFO - Epoch(train) [19][1300/5005] lr: 1.0000e-01 eta: 20:10:02 time: 0.1696 data_time: 0.0015 loss: 2.3354 03/10 14:05:44 - mmengine - INFO - Epoch(train) [19][1400/5005] lr: 1.0000e-01 eta: 20:09:41 time: 0.1678 data_time: 0.0014 loss: 2.2075 03/10 14:06:02 - mmengine - INFO - Epoch(train) [19][1500/5005] lr: 1.0000e-01 eta: 20:09:23 time: 0.1692 data_time: 0.0016 loss: 2.0154 03/10 14:06:19 - mmengine - INFO - Epoch(train) [19][1600/5005] lr: 1.0000e-01 eta: 20:09:02 time: 0.1686 data_time: 0.0016 loss: 2.2576 03/10 14:06:36 - mmengine - INFO - Epoch(train) [19][1700/5005] lr: 1.0000e-01 eta: 20:08:41 time: 0.1684 data_time: 0.0014 loss: 2.0952 03/10 14:06:53 - mmengine - INFO - Epoch(train) [19][1800/5005] lr: 1.0000e-01 eta: 20:08:19 time: 0.1697 data_time: 0.0015 loss: 2.2254 03/10 14:07:10 - mmengine - INFO - Epoch(train) [19][1900/5005] lr: 1.0000e-01 eta: 20:07:58 time: 0.1661 data_time: 0.0015 loss: 2.2038 03/10 14:07:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:07:27 - mmengine - INFO - Epoch(train) [19][2000/5005] lr: 1.0000e-01 eta: 20:07:37 time: 0.1691 data_time: 0.0016 loss: 2.2442 03/10 14:07:44 - mmengine - INFO - Epoch(train) [19][2100/5005] lr: 1.0000e-01 eta: 20:07:18 time: 0.1689 data_time: 0.0014 loss: 2.2524 03/10 14:08:02 - mmengine - INFO - Epoch(train) [19][2200/5005] lr: 1.0000e-01 eta: 20:06:57 time: 0.1660 data_time: 0.0014 loss: 2.2321 03/10 14:08:19 - mmengine - INFO - Epoch(train) [19][2300/5005] lr: 1.0000e-01 eta: 20:06:36 time: 0.1678 data_time: 0.0015 loss: 2.2177 03/10 14:08:36 - mmengine - INFO - Epoch(train) [19][2400/5005] lr: 1.0000e-01 eta: 20:06:15 time: 0.1664 data_time: 0.0016 loss: 2.2700 03/10 14:08:53 - mmengine - INFO - Epoch(train) [19][2500/5005] lr: 1.0000e-01 eta: 20:05:54 time: 0.1694 data_time: 0.0016 loss: 2.2579 03/10 14:09:10 - mmengine - INFO - Epoch(train) [19][2600/5005] lr: 1.0000e-01 eta: 20:05:32 time: 0.1691 data_time: 0.0016 loss: 2.1783 03/10 14:09:27 - mmengine - INFO - Epoch(train) [19][2700/5005] lr: 1.0000e-01 eta: 20:05:13 time: 0.1691 data_time: 0.0015 loss: 2.2263 03/10 14:09:44 - mmengine - INFO - Epoch(train) [19][2800/5005] lr: 1.0000e-01 eta: 20:04:53 time: 0.1665 data_time: 0.0016 loss: 2.2126 03/10 14:10:02 - mmengine - INFO - Epoch(train) [19][2900/5005] lr: 1.0000e-01 eta: 20:04:33 time: 0.1718 data_time: 0.0014 loss: 2.4055 03/10 14:10:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:10:19 - mmengine - INFO - Epoch(train) [19][3000/5005] lr: 1.0000e-01 eta: 20:04:12 time: 0.1675 data_time: 0.0015 loss: 2.3200 03/10 14:10:36 - mmengine - INFO - Epoch(train) [19][3100/5005] lr: 1.0000e-01 eta: 20:03:52 time: 0.1678 data_time: 0.0017 loss: 2.3959 03/10 14:10:53 - mmengine - INFO - Epoch(train) [19][3200/5005] lr: 1.0000e-01 eta: 20:03:31 time: 0.1716 data_time: 0.0015 loss: 2.1346 03/10 14:11:10 - mmengine - INFO - Epoch(train) [19][3300/5005] lr: 1.0000e-01 eta: 20:03:11 time: 0.1900 data_time: 0.0016 loss: 2.2169 03/10 14:11:27 - mmengine - INFO - Epoch(train) [19][3400/5005] lr: 1.0000e-01 eta: 20:02:51 time: 0.1679 data_time: 0.0017 loss: 2.3589 03/10 14:11:44 - mmengine - INFO - Epoch(train) [19][3500/5005] lr: 1.0000e-01 eta: 20:02:29 time: 0.1708 data_time: 0.0016 loss: 2.3170 03/10 14:12:01 - mmengine - INFO - Epoch(train) [19][3600/5005] lr: 1.0000e-01 eta: 20:02:09 time: 0.1665 data_time: 0.0016 loss: 2.1697 03/10 14:12:18 - mmengine - INFO - Epoch(train) [19][3700/5005] lr: 1.0000e-01 eta: 20:01:49 time: 0.1664 data_time: 0.0015 loss: 2.3185 03/10 14:12:36 - mmengine - INFO - Epoch(train) [19][3800/5005] lr: 1.0000e-01 eta: 20:01:29 time: 0.1684 data_time: 0.0016 loss: 2.1107 03/10 14:12:53 - mmengine - INFO - Epoch(train) [19][3900/5005] lr: 1.0000e-01 eta: 20:01:08 time: 0.1684 data_time: 0.0016 loss: 2.1987 03/10 14:12:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:13:10 - mmengine - INFO - Epoch(train) [19][4000/5005] lr: 1.0000e-01 eta: 20:00:48 time: 0.1679 data_time: 0.0016 loss: 2.1632 03/10 14:13:27 - mmengine - INFO - Epoch(train) [19][4100/5005] lr: 1.0000e-01 eta: 20:00:27 time: 0.1684 data_time: 0.0015 loss: 2.2148 03/10 14:13:44 - mmengine - INFO - Epoch(train) [19][4200/5005] lr: 1.0000e-01 eta: 20:00:07 time: 0.1692 data_time: 0.0015 loss: 2.3160 03/10 14:14:01 - mmengine - INFO - Epoch(train) [19][4300/5005] lr: 1.0000e-01 eta: 19:59:47 time: 0.1703 data_time: 0.0014 loss: 2.3657 03/10 14:14:19 - mmengine - INFO - Epoch(train) [19][4400/5005] lr: 1.0000e-01 eta: 19:59:27 time: 0.1700 data_time: 0.0015 loss: 2.5333 03/10 14:14:36 - mmengine - INFO - Epoch(train) [19][4500/5005] lr: 1.0000e-01 eta: 19:59:07 time: 0.1702 data_time: 0.0017 loss: 2.1508 03/10 14:14:53 - mmengine - INFO - Epoch(train) [19][4600/5005] lr: 1.0000e-01 eta: 19:58:47 time: 0.1661 data_time: 0.0016 loss: 2.2098 03/10 14:15:10 - mmengine - INFO - Epoch(train) [19][4700/5005] lr: 1.0000e-01 eta: 19:58:26 time: 0.1684 data_time: 0.0015 loss: 2.1280 03/10 14:15:27 - mmengine - INFO - Epoch(train) [19][4800/5005] lr: 1.0000e-01 eta: 19:58:04 time: 0.1680 data_time: 0.0014 loss: 2.2017 03/10 14:15:43 - mmengine - INFO - Epoch(train) [19][4900/5005] lr: 1.0000e-01 eta: 19:57:41 time: 0.1658 data_time: 0.0014 loss: 2.1073 03/10 14:15:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:16:00 - mmengine - INFO - Epoch(train) [19][5000/5005] lr: 1.0000e-01 eta: 19:57:19 time: 0.1672 data_time: 0.0015 loss: 2.0233 03/10 14:16:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:16:05 - mmengine - INFO - Saving checkpoint at 19 epochs 03/10 14:16:25 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:00:18 time: 0.0189 data_time: 0.0004 03/10 14:16:39 - mmengine - INFO - Epoch(val) [19][196/196] accuracy/top1: 54.2240 accuracy/top5: 79.7000 03/10 14:17:15 - mmengine - INFO - Epoch(train) [20][ 100/5005] lr: 1.0000e-01 eta: 19:58:16 time: 0.1688 data_time: 0.0022 loss: 2.1364 03/10 14:17:33 - mmengine - INFO - Epoch(train) [20][ 200/5005] lr: 1.0000e-01 eta: 19:57:58 time: 0.1714 data_time: 0.0017 loss: 2.2030 03/10 14:17:50 - mmengine - INFO - Epoch(train) [20][ 300/5005] lr: 1.0000e-01 eta: 19:57:37 time: 0.1713 data_time: 0.0016 loss: 1.9074 03/10 14:18:08 - mmengine - INFO - Epoch(train) [20][ 400/5005] lr: 1.0000e-01 eta: 19:57:21 time: 0.1667 data_time: 0.0017 loss: 2.1203 03/10 14:18:25 - mmengine - INFO - Epoch(train) [20][ 500/5005] lr: 1.0000e-01 eta: 19:57:01 time: 0.1729 data_time: 0.0018 loss: 2.0873 03/10 14:18:42 - mmengine - INFO - Epoch(train) [20][ 600/5005] lr: 1.0000e-01 eta: 19:56:41 time: 0.1691 data_time: 0.0017 loss: 2.2098 03/10 14:19:00 - mmengine - INFO - Epoch(train) [20][ 700/5005] lr: 1.0000e-01 eta: 19:56:21 time: 0.1690 data_time: 0.0018 loss: 2.4910 03/10 14:19:17 - mmengine - INFO - Epoch(train) [20][ 800/5005] lr: 1.0000e-01 eta: 19:56:02 time: 0.1692 data_time: 0.0015 loss: 2.2054 03/10 14:19:34 - mmengine - INFO - Epoch(train) [20][ 900/5005] lr: 1.0000e-01 eta: 19:55:41 time: 0.1699 data_time: 0.0020 loss: 2.2624 03/10 14:19:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:19:52 - mmengine - INFO - Epoch(train) [20][1000/5005] lr: 1.0000e-01 eta: 19:55:24 time: 0.1700 data_time: 0.0019 loss: 2.4602 03/10 14:20:09 - mmengine - INFO - Epoch(train) [20][1100/5005] lr: 1.0000e-01 eta: 19:55:02 time: 0.1684 data_time: 0.0019 loss: 2.0236 03/10 14:20:27 - mmengine - INFO - Epoch(train) [20][1200/5005] lr: 1.0000e-01 eta: 19:54:48 time: 0.1677 data_time: 0.0020 loss: 2.3525 03/10 14:20:45 - mmengine - INFO - Epoch(train) [20][1300/5005] lr: 1.0000e-01 eta: 19:54:28 time: 0.1698 data_time: 0.0018 loss: 2.1227 03/10 14:21:03 - mmengine - INFO - Epoch(train) [20][1400/5005] lr: 1.0000e-01 eta: 19:54:14 time: 0.1687 data_time: 0.0017 loss: 2.2097 03/10 14:21:20 - mmengine - INFO - Epoch(train) [20][1500/5005] lr: 1.0000e-01 eta: 19:53:53 time: 0.1687 data_time: 0.0016 loss: 2.3505 03/10 14:21:38 - mmengine - INFO - Epoch(train) [20][1600/5005] lr: 1.0000e-01 eta: 19:53:33 time: 0.1713 data_time: 0.0017 loss: 2.1674 03/10 14:21:55 - mmengine - INFO - Epoch(train) [20][1700/5005] lr: 1.0000e-01 eta: 19:53:14 time: 0.1898 data_time: 0.0020 loss: 2.3279 03/10 14:22:12 - mmengine - INFO - Epoch(train) [20][1800/5005] lr: 1.0000e-01 eta: 19:52:54 time: 0.1706 data_time: 0.0017 loss: 2.2597 03/10 14:22:29 - mmengine - INFO - Epoch(train) [20][1900/5005] lr: 1.0000e-01 eta: 19:52:33 time: 0.1697 data_time: 0.0017 loss: 2.6523 03/10 14:22:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:22:47 - mmengine - INFO - Epoch(train) [20][2000/5005] lr: 1.0000e-01 eta: 19:52:14 time: 0.1682 data_time: 0.0016 loss: 2.4124 03/10 14:23:04 - mmengine - INFO - Epoch(train) [20][2100/5005] lr: 1.0000e-01 eta: 19:51:53 time: 0.1680 data_time: 0.0017 loss: 2.2927 03/10 14:23:21 - mmengine - INFO - Epoch(train) [20][2200/5005] lr: 1.0000e-01 eta: 19:51:32 time: 0.1661 data_time: 0.0017 loss: 2.0255 03/10 14:23:38 - mmengine - INFO - Epoch(train) [20][2300/5005] lr: 1.0000e-01 eta: 19:51:13 time: 0.1694 data_time: 0.0017 loss: 2.1536 03/10 14:23:55 - mmengine - INFO - Epoch(train) [20][2400/5005] lr: 1.0000e-01 eta: 19:50:53 time: 0.1670 data_time: 0.0016 loss: 2.0623 03/10 14:24:12 - mmengine - INFO - Epoch(train) [20][2500/5005] lr: 1.0000e-01 eta: 19:50:32 time: 0.1696 data_time: 0.0017 loss: 2.3685 03/10 14:24:29 - mmengine - INFO - Epoch(train) [20][2600/5005] lr: 1.0000e-01 eta: 19:50:11 time: 0.1673 data_time: 0.0017 loss: 2.2974 03/10 14:24:47 - mmengine - INFO - Epoch(train) [20][2700/5005] lr: 1.0000e-01 eta: 19:49:53 time: 0.1667 data_time: 0.0017 loss: 2.1286 03/10 14:25:04 - mmengine - INFO - Epoch(train) [20][2800/5005] lr: 1.0000e-01 eta: 19:49:31 time: 0.1701 data_time: 0.0016 loss: 2.3337 03/10 14:25:21 - mmengine - INFO - Epoch(train) [20][2900/5005] lr: 1.0000e-01 eta: 19:49:12 time: 0.1855 data_time: 0.0017 loss: 2.1949 03/10 14:25:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:25:38 - mmengine - INFO - Epoch(train) [20][3000/5005] lr: 1.0000e-01 eta: 19:48:52 time: 0.1683 data_time: 0.0016 loss: 2.4732 03/10 14:25:55 - mmengine - INFO - Epoch(train) [20][3100/5005] lr: 1.0000e-01 eta: 19:48:31 time: 0.1662 data_time: 0.0016 loss: 2.3241 03/10 14:26:12 - mmengine - INFO - Epoch(train) [20][3200/5005] lr: 1.0000e-01 eta: 19:48:10 time: 0.1687 data_time: 0.0015 loss: 2.1858 03/10 14:26:29 - mmengine - INFO - Epoch(train) [20][3300/5005] lr: 1.0000e-01 eta: 19:47:50 time: 0.1949 data_time: 0.0017 loss: 2.3837 03/10 14:26:46 - mmengine - INFO - Epoch(train) [20][3400/5005] lr: 1.0000e-01 eta: 19:47:29 time: 0.1677 data_time: 0.0016 loss: 2.1756 03/10 14:27:04 - mmengine - INFO - Epoch(train) [20][3500/5005] lr: 1.0000e-01 eta: 19:47:09 time: 0.1665 data_time: 0.0016 loss: 2.3086 03/10 14:27:21 - mmengine - INFO - Epoch(train) [20][3600/5005] lr: 1.0000e-01 eta: 19:46:50 time: 0.1881 data_time: 0.0016 loss: 1.9805 03/10 14:27:38 - mmengine - INFO - Epoch(train) [20][3700/5005] lr: 1.0000e-01 eta: 19:46:29 time: 0.1658 data_time: 0.0016 loss: 2.3962 03/10 14:27:55 - mmengine - INFO - Epoch(train) [20][3800/5005] lr: 1.0000e-01 eta: 19:46:08 time: 0.1667 data_time: 0.0018 loss: 2.1726 03/10 14:28:12 - mmengine - INFO - Epoch(train) [20][3900/5005] lr: 1.0000e-01 eta: 19:45:46 time: 0.1694 data_time: 0.0017 loss: 2.0524 03/10 14:28:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:28:29 - mmengine - INFO - Epoch(train) [20][4000/5005] lr: 1.0000e-01 eta: 19:45:28 time: 0.1694 data_time: 0.0017 loss: 2.0593 03/10 14:28:46 - mmengine - INFO - Epoch(train) [20][4100/5005] lr: 1.0000e-01 eta: 19:45:08 time: 0.1660 data_time: 0.0017 loss: 2.3259 03/10 14:29:04 - mmengine - INFO - Epoch(train) [20][4200/5005] lr: 1.0000e-01 eta: 19:44:47 time: 0.2029 data_time: 0.0018 loss: 2.2281 03/10 14:29:21 - mmengine - INFO - Epoch(train) [20][4300/5005] lr: 1.0000e-01 eta: 19:44:28 time: 0.1684 data_time: 0.0015 loss: 2.1961 03/10 14:29:38 - mmengine - INFO - Epoch(train) [20][4400/5005] lr: 1.0000e-01 eta: 19:44:07 time: 0.1681 data_time: 0.0016 loss: 2.3688 03/10 14:29:55 - mmengine - INFO - Epoch(train) [20][4500/5005] lr: 1.0000e-01 eta: 19:43:46 time: 0.1636 data_time: 0.0017 loss: 2.2059 03/10 14:30:12 - mmengine - INFO - Epoch(train) [20][4600/5005] lr: 1.0000e-01 eta: 19:43:25 time: 0.1703 data_time: 0.0016 loss: 2.2019 03/10 14:30:29 - mmengine - INFO - Epoch(train) [20][4700/5005] lr: 1.0000e-01 eta: 19:43:06 time: 0.1694 data_time: 0.0015 loss: 2.2202 03/10 14:30:46 - mmengine - INFO - Epoch(train) [20][4800/5005] lr: 1.0000e-01 eta: 19:42:45 time: 0.1671 data_time: 0.0017 loss: 2.4968 03/10 14:31:03 - mmengine - INFO - Epoch(train) [20][4900/5005] lr: 1.0000e-01 eta: 19:42:23 time: 0.1684 data_time: 0.0016 loss: 2.1553 03/10 14:31:04 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:31:19 - mmengine - INFO - Epoch(train) [20][5000/5005] lr: 1.0000e-01 eta: 19:42:01 time: 0.1681 data_time: 0.0015 loss: 2.3226 03/10 14:31:20 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:31:25 - mmengine - INFO - Saving checkpoint at 20 epochs 03/10 14:31:44 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:00:17 time: 0.0171 data_time: 0.0004 03/10 14:31:59 - mmengine - INFO - Epoch(val) [20][196/196] accuracy/top1: 54.2400 accuracy/top5: 79.5520 03/10 14:32:34 - mmengine - INFO - Epoch(train) [21][ 100/5005] lr: 1.0000e-01 eta: 19:42:52 time: 0.1942 data_time: 0.0023 loss: 2.1228 03/10 14:32:51 - mmengine - INFO - Epoch(train) [21][ 200/5005] lr: 1.0000e-01 eta: 19:42:32 time: 0.1681 data_time: 0.0019 loss: 2.1359 03/10 14:33:09 - mmengine - INFO - Epoch(train) [21][ 300/5005] lr: 1.0000e-01 eta: 19:42:14 time: 0.1679 data_time: 0.0016 loss: 2.3761 03/10 14:33:26 - mmengine - INFO - Epoch(train) [21][ 400/5005] lr: 1.0000e-01 eta: 19:41:55 time: 0.1684 data_time: 0.0016 loss: 1.9523 03/10 14:33:43 - mmengine - INFO - Epoch(train) [21][ 500/5005] lr: 1.0000e-01 eta: 19:41:34 time: 0.1675 data_time: 0.0017 loss: 2.4518 03/10 14:34:00 - mmengine - INFO - Epoch(train) [21][ 600/5005] lr: 1.0000e-01 eta: 19:41:14 time: 0.1890 data_time: 0.0018 loss: 2.2058 03/10 14:34:17 - mmengine - INFO - Epoch(train) [21][ 700/5005] lr: 1.0000e-01 eta: 19:40:54 time: 0.1895 data_time: 0.0016 loss: 2.1706 03/10 14:34:34 - mmengine - INFO - Epoch(train) [21][ 800/5005] lr: 1.0000e-01 eta: 19:40:33 time: 0.1671 data_time: 0.0015 loss: 2.2398 03/10 14:34:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:34:52 - mmengine - INFO - Epoch(train) [21][ 900/5005] lr: 1.0000e-01 eta: 19:40:14 time: 0.1706 data_time: 0.0016 loss: 2.4118 03/10 14:35:09 - mmengine - INFO - Epoch(train) [21][1000/5005] lr: 1.0000e-01 eta: 19:39:54 time: 0.1685 data_time: 0.0016 loss: 2.3051 03/10 14:35:26 - mmengine - INFO - Epoch(train) [21][1100/5005] lr: 1.0000e-01 eta: 19:39:34 time: 0.1695 data_time: 0.0017 loss: 2.1572 03/10 14:35:44 - mmengine - INFO - Epoch(train) [21][1200/5005] lr: 1.0000e-01 eta: 19:39:17 time: 0.1675 data_time: 0.0015 loss: 2.3065 03/10 14:36:01 - mmengine - INFO - Epoch(train) [21][1300/5005] lr: 1.0000e-01 eta: 19:38:55 time: 0.1678 data_time: 0.0018 loss: 2.1229 03/10 14:36:18 - mmengine - INFO - Epoch(train) [21][1400/5005] lr: 1.0000e-01 eta: 19:38:36 time: 0.1695 data_time: 0.0016 loss: 2.3572 03/10 14:36:35 - mmengine - INFO - Epoch(train) [21][1500/5005] lr: 1.0000e-01 eta: 19:38:16 time: 0.1685 data_time: 0.0016 loss: 2.1011 03/10 14:36:53 - mmengine - INFO - Epoch(train) [21][1600/5005] lr: 1.0000e-01 eta: 19:37:57 time: 0.1681 data_time: 0.0017 loss: 2.1546 03/10 14:37:10 - mmengine - INFO - Epoch(train) [21][1700/5005] lr: 1.0000e-01 eta: 19:37:36 time: 0.1703 data_time: 0.0016 loss: 2.1686 03/10 14:37:27 - mmengine - INFO - Epoch(train) [21][1800/5005] lr: 1.0000e-01 eta: 19:37:16 time: 0.1672 data_time: 0.0017 loss: 2.0610 03/10 14:37:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:37:44 - mmengine - INFO - Epoch(train) [21][1900/5005] lr: 1.0000e-01 eta: 19:36:55 time: 0.1672 data_time: 0.0017 loss: 2.3684 03/10 14:38:01 - mmengine - INFO - Epoch(train) [21][2000/5005] lr: 1.0000e-01 eta: 19:36:36 time: 0.1665 data_time: 0.0016 loss: 2.1101 03/10 14:38:19 - mmengine - INFO - Epoch(train) [21][2100/5005] lr: 1.0000e-01 eta: 19:36:16 time: 0.1858 data_time: 0.0019 loss: 2.2391 03/10 14:38:36 - mmengine - INFO - Epoch(train) [21][2200/5005] lr: 1.0000e-01 eta: 19:35:55 time: 0.1691 data_time: 0.0019 loss: 2.1742 03/10 14:38:53 - mmengine - INFO - Epoch(train) [21][2300/5005] lr: 1.0000e-01 eta: 19:35:36 time: 0.1868 data_time: 0.0017 loss: 2.3526 03/10 14:39:10 - mmengine - INFO - Epoch(train) [21][2400/5005] lr: 1.0000e-01 eta: 19:35:15 time: 0.1696 data_time: 0.0017 loss: 2.4517 03/10 14:39:27 - mmengine - INFO - Epoch(train) [21][2500/5005] lr: 1.0000e-01 eta: 19:34:55 time: 0.1695 data_time: 0.0017 loss: 2.3697 03/10 14:39:44 - mmengine - INFO - Epoch(train) [21][2600/5005] lr: 1.0000e-01 eta: 19:34:35 time: 0.1708 data_time: 0.0017 loss: 2.2287 03/10 14:40:01 - mmengine - INFO - Epoch(train) [21][2700/5005] lr: 1.0000e-01 eta: 19:34:15 time: 0.1871 data_time: 0.0018 loss: 2.2275 03/10 14:40:19 - mmengine - INFO - Epoch(train) [21][2800/5005] lr: 1.0000e-01 eta: 19:33:56 time: 0.1684 data_time: 0.0017 loss: 1.9959 03/10 14:40:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:40:36 - mmengine - INFO - Epoch(train) [21][2900/5005] lr: 1.0000e-01 eta: 19:33:35 time: 0.1686 data_time: 0.0016 loss: 2.4798 03/10 14:40:53 - mmengine - INFO - Epoch(train) [21][3000/5005] lr: 1.0000e-01 eta: 19:33:15 time: 0.1691 data_time: 0.0019 loss: 2.3917 03/10 14:41:10 - mmengine - INFO - Epoch(train) [21][3100/5005] lr: 1.0000e-01 eta: 19:32:56 time: 0.1716 data_time: 0.0017 loss: 2.3250 03/10 14:41:27 - mmengine - INFO - Epoch(train) [21][3200/5005] lr: 1.0000e-01 eta: 19:32:35 time: 0.1687 data_time: 0.0017 loss: 2.2914 03/10 14:41:44 - mmengine - INFO - Epoch(train) [21][3300/5005] lr: 1.0000e-01 eta: 19:32:15 time: 0.1683 data_time: 0.0016 loss: 2.3697 03/10 14:42:01 - mmengine - INFO - Epoch(train) [21][3400/5005] lr: 1.0000e-01 eta: 19:31:55 time: 0.1696 data_time: 0.0018 loss: 2.0964 03/10 14:42:19 - mmengine - INFO - Epoch(train) [21][3500/5005] lr: 1.0000e-01 eta: 19:31:35 time: 0.1706 data_time: 0.0021 loss: 2.2918 03/10 14:42:36 - mmengine - INFO - Epoch(train) [21][3600/5005] lr: 1.0000e-01 eta: 19:31:15 time: 0.1836 data_time: 0.0017 loss: 2.0952 03/10 14:42:53 - mmengine - INFO - Epoch(train) [21][3700/5005] lr: 1.0000e-01 eta: 19:30:55 time: 0.1721 data_time: 0.0018 loss: 2.3885 03/10 14:43:10 - mmengine - INFO - Epoch(train) [21][3800/5005] lr: 1.0000e-01 eta: 19:30:34 time: 0.1673 data_time: 0.0019 loss: 2.1103 03/10 14:43:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:43:27 - mmengine - INFO - Epoch(train) [21][3900/5005] lr: 1.0000e-01 eta: 19:30:14 time: 0.1670 data_time: 0.0018 loss: 2.3118 03/10 14:43:44 - mmengine - INFO - Epoch(train) [21][4000/5005] lr: 1.0000e-01 eta: 19:29:56 time: 0.1937 data_time: 0.0016 loss: 2.2459 03/10 14:44:01 - mmengine - INFO - Epoch(train) [21][4100/5005] lr: 1.0000e-01 eta: 19:29:35 time: 0.1676 data_time: 0.0017 loss: 2.0582 03/10 14:44:19 - mmengine - INFO - Epoch(train) [21][4200/5005] lr: 1.0000e-01 eta: 19:29:16 time: 0.1707 data_time: 0.0016 loss: 2.2459 03/10 14:44:36 - mmengine - INFO - Epoch(train) [21][4300/5005] lr: 1.0000e-01 eta: 19:28:55 time: 0.1670 data_time: 0.0016 loss: 2.2833 03/10 14:44:53 - mmengine - INFO - Epoch(train) [21][4400/5005] lr: 1.0000e-01 eta: 19:28:36 time: 0.1712 data_time: 0.0018 loss: 2.1209 03/10 14:45:10 - mmengine - INFO - Epoch(train) [21][4500/5005] lr: 1.0000e-01 eta: 19:28:15 time: 0.1674 data_time: 0.0016 loss: 2.2601 03/10 14:45:27 - mmengine - INFO - Epoch(train) [21][4600/5005] lr: 1.0000e-01 eta: 19:27:56 time: 0.1789 data_time: 0.0016 loss: 2.2130 03/10 14:45:44 - mmengine - INFO - Epoch(train) [21][4700/5005] lr: 1.0000e-01 eta: 19:27:35 time: 0.1669 data_time: 0.0019 loss: 2.1712 03/10 14:46:01 - mmengine - INFO - Epoch(train) [21][4800/5005] lr: 1.0000e-01 eta: 19:27:14 time: 0.1654 data_time: 0.0014 loss: 2.0733 03/10 14:46:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:46:18 - mmengine - INFO - Epoch(train) [21][4900/5005] lr: 1.0000e-01 eta: 19:26:53 time: 0.1641 data_time: 0.0017 loss: 2.2758 03/10 14:46:35 - mmengine - INFO - Epoch(train) [21][5000/5005] lr: 1.0000e-01 eta: 19:26:31 time: 0.1675 data_time: 0.0015 loss: 2.3406 03/10 14:46:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:46:40 - mmengine - INFO - Saving checkpoint at 21 epochs 03/10 14:46:59 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:00:17 time: 0.0155 data_time: 0.0003 03/10 14:47:13 - mmengine - INFO - Epoch(val) [21][196/196] accuracy/top1: 53.4260 accuracy/top5: 78.8420 03/10 14:47:49 - mmengine - INFO - Epoch(train) [22][ 100/5005] lr: 1.0000e-01 eta: 19:27:19 time: 0.1696 data_time: 0.0026 loss: 2.0617 03/10 14:48:06 - mmengine - INFO - Epoch(train) [22][ 200/5005] lr: 1.0000e-01 eta: 19:26:59 time: 0.1696 data_time: 0.0020 loss: 2.0975 03/10 14:48:24 - mmengine - INFO - Epoch(train) [22][ 300/5005] lr: 1.0000e-01 eta: 19:26:40 time: 0.1694 data_time: 0.0021 loss: 1.9964 03/10 14:48:42 - mmengine - INFO - Epoch(train) [22][ 400/5005] lr: 1.0000e-01 eta: 19:26:24 time: 0.1697 data_time: 0.0019 loss: 2.4629 03/10 14:48:59 - mmengine - INFO - Epoch(train) [22][ 500/5005] lr: 1.0000e-01 eta: 19:26:04 time: 0.1702 data_time: 0.0019 loss: 2.2126 03/10 14:49:16 - mmengine - INFO - Epoch(train) [22][ 600/5005] lr: 1.0000e-01 eta: 19:25:44 time: 0.1821 data_time: 0.0018 loss: 2.2825 03/10 14:49:33 - mmengine - INFO - Epoch(train) [22][ 700/5005] lr: 1.0000e-01 eta: 19:25:25 time: 0.1681 data_time: 0.0016 loss: 2.3300 03/10 14:49:51 - mmengine - INFO - Epoch(train) [22][ 800/5005] lr: 1.0000e-01 eta: 19:25:05 time: 0.1693 data_time: 0.0017 loss: 2.2971 03/10 14:50:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:50:08 - mmengine - INFO - Epoch(train) [22][ 900/5005] lr: 1.0000e-01 eta: 19:24:44 time: 0.1666 data_time: 0.0017 loss: 2.0827 03/10 14:50:25 - mmengine - INFO - Epoch(train) [22][1000/5005] lr: 1.0000e-01 eta: 19:24:25 time: 0.1841 data_time: 0.0015 loss: 2.4376 03/10 14:50:42 - mmengine - INFO - Epoch(train) [22][1100/5005] lr: 1.0000e-01 eta: 19:24:05 time: 0.1714 data_time: 0.0017 loss: 2.2852 03/10 14:50:59 - mmengine - INFO - Epoch(train) [22][1200/5005] lr: 1.0000e-01 eta: 19:23:46 time: 0.1698 data_time: 0.0016 loss: 2.1487 03/10 14:51:16 - mmengine - INFO - Epoch(train) [22][1300/5005] lr: 1.0000e-01 eta: 19:23:26 time: 0.1662 data_time: 0.0017 loss: 2.2130 03/10 14:51:34 - mmengine - INFO - Epoch(train) [22][1400/5005] lr: 1.0000e-01 eta: 19:23:05 time: 0.1696 data_time: 0.0017 loss: 2.3387 03/10 14:51:50 - mmengine - INFO - Epoch(train) [22][1500/5005] lr: 1.0000e-01 eta: 19:22:44 time: 0.1684 data_time: 0.0016 loss: 2.1128 03/10 14:52:07 - mmengine - INFO - Epoch(train) [22][1600/5005] lr: 1.0000e-01 eta: 19:22:24 time: 0.1683 data_time: 0.0015 loss: 2.3044 03/10 14:52:25 - mmengine - INFO - Epoch(train) [22][1700/5005] lr: 1.0000e-01 eta: 19:22:05 time: 0.1680 data_time: 0.0017 loss: 2.0748 03/10 14:52:42 - mmengine - INFO - Epoch(train) [22][1800/5005] lr: 1.0000e-01 eta: 19:21:45 time: 0.1678 data_time: 0.0018 loss: 2.1384 03/10 14:52:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:52:59 - mmengine - INFO - Epoch(train) [22][1900/5005] lr: 1.0000e-01 eta: 19:21:26 time: 0.1682 data_time: 0.0018 loss: 2.2678 03/10 14:53:17 - mmengine - INFO - Epoch(train) [22][2000/5005] lr: 1.0000e-01 eta: 19:21:06 time: 0.1694 data_time: 0.0017 loss: 2.2815 03/10 14:53:34 - mmengine - INFO - Epoch(train) [22][2100/5005] lr: 1.0000e-01 eta: 19:20:46 time: 0.1728 data_time: 0.0017 loss: 2.4244 03/10 14:53:51 - mmengine - INFO - Epoch(train) [22][2200/5005] lr: 1.0000e-01 eta: 19:20:26 time: 0.1663 data_time: 0.0016 loss: 2.0604 03/10 14:54:08 - mmengine - INFO - Epoch(train) [22][2300/5005] lr: 1.0000e-01 eta: 19:20:07 time: 0.1674 data_time: 0.0017 loss: 2.0456 03/10 14:54:25 - mmengine - INFO - Epoch(train) [22][2400/5005] lr: 1.0000e-01 eta: 19:19:46 time: 0.1665 data_time: 0.0019 loss: 2.2682 03/10 14:54:42 - mmengine - INFO - Epoch(train) [22][2500/5005] lr: 1.0000e-01 eta: 19:19:26 time: 0.1688 data_time: 0.0020 loss: 2.2827 03/10 14:54:59 - mmengine - INFO - Epoch(train) [22][2600/5005] lr: 1.0000e-01 eta: 19:19:06 time: 0.1673 data_time: 0.0015 loss: 2.4820 03/10 14:55:16 - mmengine - INFO - Epoch(train) [22][2700/5005] lr: 1.0000e-01 eta: 19:18:46 time: 0.1682 data_time: 0.0015 loss: 2.1302 03/10 14:55:34 - mmengine - INFO - Epoch(train) [22][2800/5005] lr: 1.0000e-01 eta: 19:18:27 time: 0.1716 data_time: 0.0016 loss: 2.3994 03/10 14:55:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:55:50 - mmengine - INFO - Epoch(train) [22][2900/5005] lr: 1.0000e-01 eta: 19:18:06 time: 0.1682 data_time: 0.0017 loss: 2.1707 03/10 14:56:08 - mmengine - INFO - Epoch(train) [22][3000/5005] lr: 1.0000e-01 eta: 19:17:47 time: 0.1674 data_time: 0.0017 loss: 2.2431 03/10 14:56:25 - mmengine - INFO - Epoch(train) [22][3100/5005] lr: 1.0000e-01 eta: 19:17:27 time: 0.1705 data_time: 0.0017 loss: 2.4920 03/10 14:56:42 - mmengine - INFO - Epoch(train) [22][3200/5005] lr: 1.0000e-01 eta: 19:17:07 time: 0.1676 data_time: 0.0016 loss: 2.2310 03/10 14:56:59 - mmengine - INFO - Epoch(train) [22][3300/5005] lr: 1.0000e-01 eta: 19:16:47 time: 0.1706 data_time: 0.0016 loss: 2.3432 03/10 14:57:16 - mmengine - INFO - Epoch(train) [22][3400/5005] lr: 1.0000e-01 eta: 19:16:27 time: 0.1675 data_time: 0.0017 loss: 2.2296 03/10 14:57:33 - mmengine - INFO - Epoch(train) [22][3500/5005] lr: 1.0000e-01 eta: 19:16:07 time: 0.1683 data_time: 0.0016 loss: 2.3916 03/10 14:57:51 - mmengine - INFO - Epoch(train) [22][3600/5005] lr: 1.0000e-01 eta: 19:15:48 time: 0.1705 data_time: 0.0019 loss: 2.2946 03/10 14:58:08 - mmengine - INFO - Epoch(train) [22][3700/5005] lr: 1.0000e-01 eta: 19:15:28 time: 0.1689 data_time: 0.0018 loss: 2.1991 03/10 14:58:25 - mmengine - INFO - Epoch(train) [22][3800/5005] lr: 1.0000e-01 eta: 19:15:08 time: 0.1677 data_time: 0.0016 loss: 2.2953 03/10 14:58:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 14:58:42 - mmengine - INFO - Epoch(train) [22][3900/5005] lr: 1.0000e-01 eta: 19:14:48 time: 0.1707 data_time: 0.0017 loss: 2.3170 03/10 14:58:59 - mmengine - INFO - Epoch(train) [22][4000/5005] lr: 1.0000e-01 eta: 19:14:29 time: 0.1680 data_time: 0.0016 loss: 2.2011 03/10 14:59:16 - mmengine - INFO - Epoch(train) [22][4100/5005] lr: 1.0000e-01 eta: 19:14:08 time: 0.1706 data_time: 0.0017 loss: 2.2786 03/10 14:59:34 - mmengine - INFO - Epoch(train) [22][4200/5005] lr: 1.0000e-01 eta: 19:13:49 time: 0.1877 data_time: 0.0016 loss: 2.3349 03/10 14:59:51 - mmengine - INFO - Epoch(train) [22][4300/5005] lr: 1.0000e-01 eta: 19:13:29 time: 0.1701 data_time: 0.0016 loss: 2.2276 03/10 15:00:08 - mmengine - INFO - Epoch(train) [22][4400/5005] lr: 1.0000e-01 eta: 19:13:10 time: 0.1691 data_time: 0.0017 loss: 2.3290 03/10 15:00:25 - mmengine - INFO - Epoch(train) [22][4500/5005] lr: 1.0000e-01 eta: 19:12:50 time: 0.1678 data_time: 0.0017 loss: 2.1816 03/10 15:00:42 - mmengine - INFO - Epoch(train) [22][4600/5005] lr: 1.0000e-01 eta: 19:12:30 time: 0.1681 data_time: 0.0019 loss: 2.2209 03/10 15:00:59 - mmengine - INFO - Epoch(train) [22][4700/5005] lr: 1.0000e-01 eta: 19:12:10 time: 0.1693 data_time: 0.0017 loss: 2.1797 03/10 15:01:16 - mmengine - INFO - Epoch(train) [22][4800/5005] lr: 1.0000e-01 eta: 19:11:49 time: 0.1666 data_time: 0.0016 loss: 2.1419 03/10 15:01:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:01:33 - mmengine - INFO - Epoch(train) [22][4900/5005] lr: 1.0000e-01 eta: 19:11:28 time: 0.1662 data_time: 0.0016 loss: 2.2753 03/10 15:01:50 - mmengine - INFO - Epoch(train) [22][5000/5005] lr: 1.0000e-01 eta: 19:11:06 time: 0.1641 data_time: 0.0014 loss: 2.3056 03/10 15:01:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:01:55 - mmengine - INFO - Saving checkpoint at 22 epochs 03/10 15:02:14 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:00:17 time: 0.0160 data_time: 0.0004 03/10 15:02:29 - mmengine - INFO - Epoch(val) [22][196/196] accuracy/top1: 53.4820 accuracy/top5: 78.6160 03/10 15:03:05 - mmengine - INFO - Epoch(train) [23][ 100/5005] lr: 1.0000e-01 eta: 19:11:53 time: 0.1682 data_time: 0.0020 loss: 2.1376 03/10 15:03:23 - mmengine - INFO - Epoch(train) [23][ 200/5005] lr: 1.0000e-01 eta: 19:11:35 time: 0.1681 data_time: 0.0019 loss: 2.2750 03/10 15:03:40 - mmengine - INFO - Epoch(train) [23][ 300/5005] lr: 1.0000e-01 eta: 19:11:16 time: 0.1688 data_time: 0.0019 loss: 1.9723 03/10 15:03:57 - mmengine - INFO - Epoch(train) [23][ 400/5005] lr: 1.0000e-01 eta: 19:10:55 time: 0.1669 data_time: 0.0019 loss: 2.1778 03/10 15:04:15 - mmengine - INFO - Epoch(train) [23][ 500/5005] lr: 1.0000e-01 eta: 19:10:37 time: 0.1692 data_time: 0.0017 loss: 2.1082 03/10 15:04:32 - mmengine - INFO - Epoch(train) [23][ 600/5005] lr: 1.0000e-01 eta: 19:10:18 time: 0.1692 data_time: 0.0019 loss: 2.2252 03/10 15:04:49 - mmengine - INFO - Epoch(train) [23][ 700/5005] lr: 1.0000e-01 eta: 19:09:57 time: 0.1699 data_time: 0.0017 loss: 2.1384 03/10 15:05:06 - mmengine - INFO - Epoch(train) [23][ 800/5005] lr: 1.0000e-01 eta: 19:09:38 time: 0.1677 data_time: 0.0016 loss: 2.3575 03/10 15:05:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:05:23 - mmengine - INFO - Epoch(train) [23][ 900/5005] lr: 1.0000e-01 eta: 19:09:18 time: 0.1701 data_time: 0.0018 loss: 2.2478 03/10 15:05:40 - mmengine - INFO - Epoch(train) [23][1000/5005] lr: 1.0000e-01 eta: 19:08:58 time: 0.1685 data_time: 0.0018 loss: 2.4110 03/10 15:05:58 - mmengine - INFO - Epoch(train) [23][1100/5005] lr: 1.0000e-01 eta: 19:08:39 time: 0.1702 data_time: 0.0017 loss: 2.1776 03/10 15:06:15 - mmengine - INFO - Epoch(train) [23][1200/5005] lr: 1.0000e-01 eta: 19:08:19 time: 0.1690 data_time: 0.0019 loss: 2.1383 03/10 15:06:32 - mmengine - INFO - Epoch(train) [23][1300/5005] lr: 1.0000e-01 eta: 19:07:59 time: 0.1664 data_time: 0.0019 loss: 2.4235 03/10 15:06:50 - mmengine - INFO - Epoch(train) [23][1400/5005] lr: 1.0000e-01 eta: 19:07:41 time: 0.1697 data_time: 0.0017 loss: 2.2492 03/10 15:07:07 - mmengine - INFO - Epoch(train) [23][1500/5005] lr: 1.0000e-01 eta: 19:07:20 time: 0.1694 data_time: 0.0017 loss: 2.2866 03/10 15:07:24 - mmengine - INFO - Epoch(train) [23][1600/5005] lr: 1.0000e-01 eta: 19:07:01 time: 0.1836 data_time: 0.0018 loss: 2.4291 03/10 15:07:41 - mmengine - INFO - Epoch(train) [23][1700/5005] lr: 1.0000e-01 eta: 19:06:42 time: 0.1792 data_time: 0.0019 loss: 2.0433 03/10 15:07:58 - mmengine - INFO - Epoch(train) [23][1800/5005] lr: 1.0000e-01 eta: 19:06:22 time: 0.1685 data_time: 0.0024 loss: 2.2704 03/10 15:08:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:08:15 - mmengine - INFO - Epoch(train) [23][1900/5005] lr: 1.0000e-01 eta: 19:06:02 time: 0.1694 data_time: 0.0017 loss: 2.2548 03/10 15:08:33 - mmengine - INFO - Epoch(train) [23][2000/5005] lr: 1.0000e-01 eta: 19:05:43 time: 0.1688 data_time: 0.0016 loss: 2.5695 03/10 15:08:50 - mmengine - INFO - Epoch(train) [23][2100/5005] lr: 1.0000e-01 eta: 19:05:22 time: 0.1702 data_time: 0.0017 loss: 2.0973 03/10 15:09:07 - mmengine - INFO - Epoch(train) [23][2200/5005] lr: 1.0000e-01 eta: 19:05:03 time: 0.1703 data_time: 0.0019 loss: 2.3218 03/10 15:09:24 - mmengine - INFO - Epoch(train) [23][2300/5005] lr: 1.0000e-01 eta: 19:04:44 time: 0.1709 data_time: 0.0018 loss: 2.2429 03/10 15:09:41 - mmengine - INFO - Epoch(train) [23][2400/5005] lr: 1.0000e-01 eta: 19:04:24 time: 0.1693 data_time: 0.0017 loss: 2.1575 03/10 15:09:59 - mmengine - INFO - Epoch(train) [23][2500/5005] lr: 1.0000e-01 eta: 19:04:05 time: 0.1678 data_time: 0.0018 loss: 1.9837 03/10 15:10:16 - mmengine - INFO - Epoch(train) [23][2600/5005] lr: 1.0000e-01 eta: 19:03:45 time: 0.1684 data_time: 0.0018 loss: 2.2518 03/10 15:10:33 - mmengine - INFO - Epoch(train) [23][2700/5005] lr: 1.0000e-01 eta: 19:03:25 time: 0.1789 data_time: 0.0018 loss: 2.1260 03/10 15:10:50 - mmengine - INFO - Epoch(train) [23][2800/5005] lr: 1.0000e-01 eta: 19:03:05 time: 0.1741 data_time: 0.0019 loss: 2.0916 03/10 15:11:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:11:07 - mmengine - INFO - Epoch(train) [23][2900/5005] lr: 1.0000e-01 eta: 19:02:46 time: 0.1669 data_time: 0.0018 loss: 2.1167 03/10 15:11:24 - mmengine - INFO - Epoch(train) [23][3000/5005] lr: 1.0000e-01 eta: 19:02:26 time: 0.1732 data_time: 0.0017 loss: 2.3353 03/10 15:11:42 - mmengine - INFO - Epoch(train) [23][3100/5005] lr: 1.0000e-01 eta: 19:02:08 time: 0.1689 data_time: 0.0020 loss: 2.1307 03/10 15:11:59 - mmengine - INFO - Epoch(train) [23][3200/5005] lr: 1.0000e-01 eta: 19:01:47 time: 0.1690 data_time: 0.0019 loss: 2.3835 03/10 15:12:16 - mmengine - INFO - Epoch(train) [23][3300/5005] lr: 1.0000e-01 eta: 19:01:28 time: 0.1695 data_time: 0.0018 loss: 2.4359 03/10 15:12:33 - mmengine - INFO - Epoch(train) [23][3400/5005] lr: 1.0000e-01 eta: 19:01:08 time: 0.1875 data_time: 0.0017 loss: 2.1846 03/10 15:12:52 - mmengine - INFO - Epoch(train) [23][3500/5005] lr: 1.0000e-01 eta: 19:00:55 time: 0.1687 data_time: 0.0017 loss: 2.2795 03/10 15:13:10 - mmengine - INFO - Epoch(train) [23][3600/5005] lr: 1.0000e-01 eta: 19:00:36 time: 0.1686 data_time: 0.0019 loss: 2.1227 03/10 15:13:27 - mmengine - INFO - Epoch(train) [23][3700/5005] lr: 1.0000e-01 eta: 19:00:17 time: 0.1677 data_time: 0.0018 loss: 2.2075 03/10 15:13:44 - mmengine - INFO - Epoch(train) [23][3800/5005] lr: 1.0000e-01 eta: 18:59:56 time: 0.1687 data_time: 0.0019 loss: 1.9773 03/10 15:13:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:14:01 - mmengine - INFO - Epoch(train) [23][3900/5005] lr: 1.0000e-01 eta: 18:59:37 time: 0.1673 data_time: 0.0017 loss: 2.1339 03/10 15:14:18 - mmengine - INFO - Epoch(train) [23][4000/5005] lr: 1.0000e-01 eta: 18:59:17 time: 0.1690 data_time: 0.0017 loss: 2.4054 03/10 15:14:35 - mmengine - INFO - Epoch(train) [23][4100/5005] lr: 1.0000e-01 eta: 18:58:57 time: 0.1682 data_time: 0.0017 loss: 2.1013 03/10 15:14:53 - mmengine - INFO - Epoch(train) [23][4200/5005] lr: 1.0000e-01 eta: 18:58:39 time: 0.1668 data_time: 0.0016 loss: 2.1130 03/10 15:15:10 - mmengine - INFO - Epoch(train) [23][4300/5005] lr: 1.0000e-01 eta: 18:58:19 time: 0.1689 data_time: 0.0019 loss: 2.3042 03/10 15:15:27 - mmengine - INFO - Epoch(train) [23][4400/5005] lr: 1.0000e-01 eta: 18:57:58 time: 0.1676 data_time: 0.0020 loss: 2.0322 03/10 15:15:44 - mmengine - INFO - Epoch(train) [23][4500/5005] lr: 1.0000e-01 eta: 18:57:39 time: 0.1692 data_time: 0.0017 loss: 2.1659 03/10 15:16:01 - mmengine - INFO - Epoch(train) [23][4600/5005] lr: 1.0000e-01 eta: 18:57:19 time: 0.1680 data_time: 0.0020 loss: 2.1852 03/10 15:16:18 - mmengine - INFO - Epoch(train) [23][4700/5005] lr: 1.0000e-01 eta: 18:56:59 time: 0.1690 data_time: 0.0021 loss: 2.1217 03/10 15:16:35 - mmengine - INFO - Epoch(train) [23][4800/5005] lr: 1.0000e-01 eta: 18:56:39 time: 0.1709 data_time: 0.0016 loss: 2.2427 03/10 15:16:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:16:52 - mmengine - INFO - Epoch(train) [23][4900/5005] lr: 1.0000e-01 eta: 18:56:19 time: 0.1669 data_time: 0.0017 loss: 2.4284 03/10 15:17:09 - mmengine - INFO - Epoch(train) [23][5000/5005] lr: 1.0000e-01 eta: 18:55:58 time: 0.1678 data_time: 0.0015 loss: 2.1364 03/10 15:17:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:17:15 - mmengine - INFO - Saving checkpoint at 23 epochs 03/10 15:17:34 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:00:17 time: 0.0174 data_time: 0.0003 03/10 15:17:49 - mmengine - INFO - Epoch(val) [23][196/196] accuracy/top1: 54.7140 accuracy/top5: 79.7540 03/10 15:18:24 - mmengine - INFO - Epoch(train) [24][ 100/5005] lr: 1.0000e-01 eta: 18:56:37 time: 0.1709 data_time: 0.0022 loss: 2.1586 03/10 15:18:41 - mmengine - INFO - Epoch(train) [24][ 200/5005] lr: 1.0000e-01 eta: 18:56:19 time: 0.1708 data_time: 0.0017 loss: 2.4098 03/10 15:18:58 - mmengine - INFO - Epoch(train) [24][ 300/5005] lr: 1.0000e-01 eta: 18:55:58 time: 0.1684 data_time: 0.0020 loss: 2.1138 03/10 15:19:16 - mmengine - INFO - Epoch(train) [24][ 400/5005] lr: 1.0000e-01 eta: 18:55:40 time: 0.1977 data_time: 0.0019 loss: 2.4391 03/10 15:19:32 - mmengine - INFO - Epoch(train) [24][ 500/5005] lr: 1.0000e-01 eta: 18:55:19 time: 0.1673 data_time: 0.0016 loss: 2.1933 03/10 15:19:50 - mmengine - INFO - Epoch(train) [24][ 600/5005] lr: 1.0000e-01 eta: 18:55:00 time: 0.1680 data_time: 0.0019 loss: 2.1747 03/10 15:20:07 - mmengine - INFO - Epoch(train) [24][ 700/5005] lr: 1.0000e-01 eta: 18:54:40 time: 0.1689 data_time: 0.0017 loss: 2.1701 03/10 15:20:24 - mmengine - INFO - Epoch(train) [24][ 800/5005] lr: 1.0000e-01 eta: 18:54:21 time: 0.1696 data_time: 0.0016 loss: 2.1848 03/10 15:20:38 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:20:41 - mmengine - INFO - Epoch(train) [24][ 900/5005] lr: 1.0000e-01 eta: 18:54:00 time: 0.1693 data_time: 0.0017 loss: 2.4870 03/10 15:20:58 - mmengine - INFO - Epoch(train) [24][1000/5005] lr: 1.0000e-01 eta: 18:53:42 time: 0.1676 data_time: 0.0017 loss: 2.2561 03/10 15:21:16 - mmengine - INFO - Epoch(train) [24][1100/5005] lr: 1.0000e-01 eta: 18:53:24 time: 0.1687 data_time: 0.0019 loss: 2.2141 03/10 15:21:33 - mmengine - INFO - Epoch(train) [24][1200/5005] lr: 1.0000e-01 eta: 18:53:03 time: 0.1689 data_time: 0.0017 loss: 2.2284 03/10 15:21:50 - mmengine - INFO - Epoch(train) [24][1300/5005] lr: 1.0000e-01 eta: 18:52:44 time: 0.1847 data_time: 0.0017 loss: 2.3113 03/10 15:22:07 - mmengine - INFO - Epoch(train) [24][1400/5005] lr: 1.0000e-01 eta: 18:52:24 time: 0.1652 data_time: 0.0017 loss: 2.2345 03/10 15:22:24 - mmengine - INFO - Epoch(train) [24][1500/5005] lr: 1.0000e-01 eta: 18:52:04 time: 0.1686 data_time: 0.0017 loss: 2.3016 03/10 15:22:42 - mmengine - INFO - Epoch(train) [24][1600/5005] lr: 1.0000e-01 eta: 18:51:45 time: 0.1707 data_time: 0.0017 loss: 2.2006 03/10 15:22:59 - mmengine - INFO - Epoch(train) [24][1700/5005] lr: 1.0000e-01 eta: 18:51:26 time: 0.1688 data_time: 0.0019 loss: 2.1728 03/10 15:23:16 - mmengine - INFO - Epoch(train) [24][1800/5005] lr: 1.0000e-01 eta: 18:51:06 time: 0.1702 data_time: 0.0017 loss: 2.1770 03/10 15:23:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:23:34 - mmengine - INFO - Epoch(train) [24][1900/5005] lr: 1.0000e-01 eta: 18:50:48 time: 0.1692 data_time: 0.0017 loss: 2.2462 03/10 15:23:51 - mmengine - INFO - Epoch(train) [24][2000/5005] lr: 1.0000e-01 eta: 18:50:28 time: 0.1683 data_time: 0.0018 loss: 2.2428 03/10 15:24:08 - mmengine - INFO - Epoch(train) [24][2100/5005] lr: 1.0000e-01 eta: 18:50:07 time: 0.1671 data_time: 0.0020 loss: 2.4983 03/10 15:24:25 - mmengine - INFO - Epoch(train) [24][2200/5005] lr: 1.0000e-01 eta: 18:49:48 time: 0.1700 data_time: 0.0020 loss: 2.2592 03/10 15:24:42 - mmengine - INFO - Epoch(train) [24][2300/5005] lr: 1.0000e-01 eta: 18:49:29 time: 0.1685 data_time: 0.0017 loss: 2.0932 03/10 15:24:59 - mmengine - INFO - Epoch(train) [24][2400/5005] lr: 1.0000e-01 eta: 18:49:09 time: 0.1709 data_time: 0.0019 loss: 2.1041 03/10 15:25:17 - mmengine - INFO - Epoch(train) [24][2500/5005] lr: 1.0000e-01 eta: 18:48:50 time: 0.1846 data_time: 0.0017 loss: 2.0938 03/10 15:25:34 - mmengine - INFO - Epoch(train) [24][2600/5005] lr: 1.0000e-01 eta: 18:48:30 time: 0.1697 data_time: 0.0017 loss: 2.3216 03/10 15:25:50 - mmengine - INFO - Epoch(train) [24][2700/5005] lr: 1.0000e-01 eta: 18:48:10 time: 0.1675 data_time: 0.0017 loss: 2.2968 03/10 15:26:08 - mmengine - INFO - Epoch(train) [24][2800/5005] lr: 1.0000e-01 eta: 18:47:51 time: 0.1909 data_time: 0.0017 loss: 2.3347 03/10 15:26:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:26:25 - mmengine - INFO - Epoch(train) [24][2900/5005] lr: 1.0000e-01 eta: 18:47:31 time: 0.1676 data_time: 0.0018 loss: 2.1596 03/10 15:26:42 - mmengine - INFO - Epoch(train) [24][3000/5005] lr: 1.0000e-01 eta: 18:47:12 time: 0.1679 data_time: 0.0018 loss: 2.1672 03/10 15:27:00 - mmengine - INFO - Epoch(train) [24][3100/5005] lr: 1.0000e-01 eta: 18:46:53 time: 0.1958 data_time: 0.0017 loss: 2.4169 03/10 15:27:17 - mmengine - INFO - Epoch(train) [24][3200/5005] lr: 1.0000e-01 eta: 18:46:33 time: 0.1698 data_time: 0.0018 loss: 2.3501 03/10 15:27:34 - mmengine - INFO - Epoch(train) [24][3300/5005] lr: 1.0000e-01 eta: 18:46:13 time: 0.1672 data_time: 0.0017 loss: 2.1561 03/10 15:27:51 - mmengine - INFO - Epoch(train) [24][3400/5005] lr: 1.0000e-01 eta: 18:45:54 time: 0.1689 data_time: 0.0017 loss: 2.0544 03/10 15:28:08 - mmengine - INFO - Epoch(train) [24][3500/5005] lr: 1.0000e-01 eta: 18:45:34 time: 0.1671 data_time: 0.0020 loss: 2.2520 03/10 15:28:25 - mmengine - INFO - Epoch(train) [24][3600/5005] lr: 1.0000e-01 eta: 18:45:15 time: 0.1699 data_time: 0.0017 loss: 2.2195 03/10 15:28:43 - mmengine - INFO - Epoch(train) [24][3700/5005] lr: 1.0000e-01 eta: 18:44:56 time: 0.1683 data_time: 0.0018 loss: 2.1791 03/10 15:29:00 - mmengine - INFO - Epoch(train) [24][3800/5005] lr: 1.0000e-01 eta: 18:44:36 time: 0.1712 data_time: 0.0018 loss: 2.2351 03/10 15:29:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:29:16 - mmengine - INFO - Epoch(train) [24][3900/5005] lr: 1.0000e-01 eta: 18:44:16 time: 0.1695 data_time: 0.0018 loss: 2.0190 03/10 15:29:34 - mmengine - INFO - Epoch(train) [24][4000/5005] lr: 1.0000e-01 eta: 18:43:57 time: 0.1681 data_time: 0.0019 loss: 2.0724 03/10 15:29:51 - mmengine - INFO - Epoch(train) [24][4100/5005] lr: 1.0000e-01 eta: 18:43:37 time: 0.1692 data_time: 0.0018 loss: 2.5297 03/10 15:30:08 - mmengine - INFO - Epoch(train) [24][4200/5005] lr: 1.0000e-01 eta: 18:43:18 time: 0.1707 data_time: 0.0017 loss: 2.2676 03/10 15:30:26 - mmengine - INFO - Epoch(train) [24][4300/5005] lr: 1.0000e-01 eta: 18:42:59 time: 0.1681 data_time: 0.0019 loss: 2.1126 03/10 15:30:43 - mmengine - INFO - Epoch(train) [24][4400/5005] lr: 1.0000e-01 eta: 18:42:39 time: 0.1692 data_time: 0.0020 loss: 2.2523 03/10 15:31:00 - mmengine - INFO - Epoch(train) [24][4500/5005] lr: 1.0000e-01 eta: 18:42:20 time: 0.1878 data_time: 0.0020 loss: 2.4516 03/10 15:31:17 - mmengine - INFO - Epoch(train) [24][4600/5005] lr: 1.0000e-01 eta: 18:42:01 time: 0.1688 data_time: 0.0019 loss: 2.2249 03/10 15:31:34 - mmengine - INFO - Epoch(train) [24][4700/5005] lr: 1.0000e-01 eta: 18:41:41 time: 0.1668 data_time: 0.0017 loss: 2.1800 03/10 15:31:51 - mmengine - INFO - Epoch(train) [24][4800/5005] lr: 1.0000e-01 eta: 18:41:21 time: 0.1644 data_time: 0.0014 loss: 2.3541 03/10 15:32:05 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:32:08 - mmengine - INFO - Epoch(train) [24][4900/5005] lr: 1.0000e-01 eta: 18:41:00 time: 0.1667 data_time: 0.0016 loss: 2.0571 03/10 15:32:25 - mmengine - INFO - Epoch(train) [24][5000/5005] lr: 1.0000e-01 eta: 18:40:39 time: 0.1660 data_time: 0.0015 loss: 2.1488 03/10 15:32:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:32:30 - mmengine - INFO - Saving checkpoint at 24 epochs 03/10 15:32:49 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:00:17 time: 0.0167 data_time: 0.0003 03/10 15:33:03 - mmengine - INFO - Epoch(val) [24][196/196] accuracy/top1: 55.2140 accuracy/top5: 80.4920 03/10 15:33:39 - mmengine - INFO - Epoch(train) [25][ 100/5005] lr: 1.0000e-01 eta: 18:41:16 time: 0.1689 data_time: 0.0026 loss: 2.5013 03/10 15:33:56 - mmengine - INFO - Epoch(train) [25][ 200/5005] lr: 1.0000e-01 eta: 18:40:57 time: 0.1683 data_time: 0.0021 loss: 2.2146 03/10 15:34:13 - mmengine - INFO - Epoch(train) [25][ 300/5005] lr: 1.0000e-01 eta: 18:40:38 time: 0.1714 data_time: 0.0018 loss: 2.3267 03/10 15:34:30 - mmengine - INFO - Epoch(train) [25][ 400/5005] lr: 1.0000e-01 eta: 18:40:18 time: 0.1695 data_time: 0.0018 loss: 2.1792 03/10 15:34:48 - mmengine - INFO - Epoch(train) [25][ 500/5005] lr: 1.0000e-01 eta: 18:39:59 time: 0.1695 data_time: 0.0017 loss: 2.1733 03/10 15:35:05 - mmengine - INFO - Epoch(train) [25][ 600/5005] lr: 1.0000e-01 eta: 18:39:40 time: 0.1700 data_time: 0.0017 loss: 2.0573 03/10 15:35:23 - mmengine - INFO - Epoch(train) [25][ 700/5005] lr: 1.0000e-01 eta: 18:39:22 time: 0.1689 data_time: 0.0018 loss: 2.1835 03/10 15:35:40 - mmengine - INFO - Epoch(train) [25][ 800/5005] lr: 1.0000e-01 eta: 18:39:04 time: 0.2124 data_time: 0.0017 loss: 2.2523 03/10 15:35:54 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:35:58 - mmengine - INFO - Epoch(train) [25][ 900/5005] lr: 1.0000e-01 eta: 18:38:45 time: 0.1903 data_time: 0.0017 loss: 2.1916 03/10 15:36:15 - mmengine - INFO - Epoch(train) [25][1000/5005] lr: 1.0000e-01 eta: 18:38:26 time: 0.1689 data_time: 0.0020 loss: 2.2979 03/10 15:36:32 - mmengine - INFO - Epoch(train) [25][1100/5005] lr: 1.0000e-01 eta: 18:38:06 time: 0.1719 data_time: 0.0017 loss: 2.1840 03/10 15:36:50 - mmengine - INFO - Epoch(train) [25][1200/5005] lr: 1.0000e-01 eta: 18:37:48 time: 0.1702 data_time: 0.0018 loss: 2.4167 03/10 15:37:07 - mmengine - INFO - Epoch(train) [25][1300/5005] lr: 1.0000e-01 eta: 18:37:29 time: 0.1865 data_time: 0.0017 loss: 2.0913 03/10 15:37:24 - mmengine - INFO - Epoch(train) [25][1400/5005] lr: 1.0000e-01 eta: 18:37:10 time: 0.1705 data_time: 0.0018 loss: 2.3574 03/10 15:37:41 - mmengine - INFO - Epoch(train) [25][1500/5005] lr: 1.0000e-01 eta: 18:36:50 time: 0.1674 data_time: 0.0018 loss: 2.3904 03/10 15:37:59 - mmengine - INFO - Epoch(train) [25][1600/5005] lr: 1.0000e-01 eta: 18:36:31 time: 0.1692 data_time: 0.0016 loss: 2.0398 03/10 15:38:16 - mmengine - INFO - Epoch(train) [25][1700/5005] lr: 1.0000e-01 eta: 18:36:11 time: 0.1706 data_time: 0.0018 loss: 2.2721 03/10 15:38:33 - mmengine - INFO - Epoch(train) [25][1800/5005] lr: 1.0000e-01 eta: 18:35:53 time: 0.1845 data_time: 0.0019 loss: 1.9483 03/10 15:38:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:38:50 - mmengine - INFO - Epoch(train) [25][1900/5005] lr: 1.0000e-01 eta: 18:35:34 time: 0.1694 data_time: 0.0016 loss: 2.1602 03/10 15:39:07 - mmengine - INFO - Epoch(train) [25][2000/5005] lr: 1.0000e-01 eta: 18:35:14 time: 0.1699 data_time: 0.0019 loss: 2.5751 03/10 15:39:24 - mmengine - INFO - Epoch(train) [25][2100/5005] lr: 1.0000e-01 eta: 18:34:54 time: 0.1675 data_time: 0.0016 loss: 2.1369 03/10 15:39:42 - mmengine - INFO - Epoch(train) [25][2200/5005] lr: 1.0000e-01 eta: 18:34:35 time: 0.1874 data_time: 0.0016 loss: 2.2999 03/10 15:39:59 - mmengine - INFO - Epoch(train) [25][2300/5005] lr: 1.0000e-01 eta: 18:34:15 time: 0.1699 data_time: 0.0016 loss: 2.1760 03/10 15:40:16 - mmengine - INFO - Epoch(train) [25][2400/5005] lr: 1.0000e-01 eta: 18:33:55 time: 0.1674 data_time: 0.0017 loss: 2.1023 03/10 15:40:34 - mmengine - INFO - Epoch(train) [25][2500/5005] lr: 1.0000e-01 eta: 18:33:38 time: 0.1673 data_time: 0.0018 loss: 2.3090 03/10 15:40:51 - mmengine - INFO - Epoch(train) [25][2600/5005] lr: 1.0000e-01 eta: 18:33:18 time: 0.1697 data_time: 0.0016 loss: 2.1876 03/10 15:41:08 - mmengine - INFO - Epoch(train) [25][2700/5005] lr: 1.0000e-01 eta: 18:32:58 time: 0.1667 data_time: 0.0019 loss: 2.3345 03/10 15:41:25 - mmengine - INFO - Epoch(train) [25][2800/5005] lr: 1.0000e-01 eta: 18:32:38 time: 0.1864 data_time: 0.0017 loss: 2.1097 03/10 15:41:38 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:41:42 - mmengine - INFO - Epoch(train) [25][2900/5005] lr: 1.0000e-01 eta: 18:32:18 time: 0.1717 data_time: 0.0017 loss: 2.1593 03/10 15:41:59 - mmengine - INFO - Epoch(train) [25][3000/5005] lr: 1.0000e-01 eta: 18:31:59 time: 0.1693 data_time: 0.0016 loss: 2.3543 03/10 15:42:16 - mmengine - INFO - Epoch(train) [25][3100/5005] lr: 1.0000e-01 eta: 18:31:41 time: 0.1656 data_time: 0.0017 loss: 2.2305 03/10 15:42:33 - mmengine - INFO - Epoch(train) [25][3200/5005] lr: 1.0000e-01 eta: 18:31:21 time: 0.1679 data_time: 0.0017 loss: 1.9658 03/10 15:42:51 - mmengine - INFO - Epoch(train) [25][3300/5005] lr: 1.0000e-01 eta: 18:31:01 time: 0.1682 data_time: 0.0017 loss: 2.3068 03/10 15:43:07 - mmengine - INFO - Epoch(train) [25][3400/5005] lr: 1.0000e-01 eta: 18:30:41 time: 0.1690 data_time: 0.0018 loss: 2.0177 03/10 15:43:25 - mmengine - INFO - Epoch(train) [25][3500/5005] lr: 1.0000e-01 eta: 18:30:22 time: 0.1904 data_time: 0.0017 loss: 2.4638 03/10 15:43:42 - mmengine - INFO - Epoch(train) [25][3600/5005] lr: 1.0000e-01 eta: 18:30:03 time: 0.1673 data_time: 0.0017 loss: 2.1629 03/10 15:43:59 - mmengine - INFO - Epoch(train) [25][3700/5005] lr: 1.0000e-01 eta: 18:29:43 time: 0.1683 data_time: 0.0016 loss: 2.2212 03/10 15:44:16 - mmengine - INFO - Epoch(train) [25][3800/5005] lr: 1.0000e-01 eta: 18:29:24 time: 0.1683 data_time: 0.0018 loss: 2.0940 03/10 15:44:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:44:33 - mmengine - INFO - Epoch(train) [25][3900/5005] lr: 1.0000e-01 eta: 18:29:04 time: 0.1676 data_time: 0.0018 loss: 2.1297 03/10 15:44:50 - mmengine - INFO - Epoch(train) [25][4000/5005] lr: 1.0000e-01 eta: 18:28:44 time: 0.1691 data_time: 0.0016 loss: 2.2424 03/10 15:45:08 - mmengine - INFO - Epoch(train) [25][4100/5005] lr: 1.0000e-01 eta: 18:28:25 time: 0.1698 data_time: 0.0018 loss: 2.2397 03/10 15:45:25 - mmengine - INFO - Epoch(train) [25][4200/5005] lr: 1.0000e-01 eta: 18:28:07 time: 0.1836 data_time: 0.0017 loss: 2.1513 03/10 15:45:42 - mmengine - INFO - Epoch(train) [25][4300/5005] lr: 1.0000e-01 eta: 18:27:47 time: 0.1666 data_time: 0.0016 loss: 2.2738 03/10 15:45:59 - mmengine - INFO - Epoch(train) [25][4400/5005] lr: 1.0000e-01 eta: 18:27:27 time: 0.1676 data_time: 0.0016 loss: 2.0477 03/10 15:46:16 - mmengine - INFO - Epoch(train) [25][4500/5005] lr: 1.0000e-01 eta: 18:27:08 time: 0.1701 data_time: 0.0019 loss: 2.1625 03/10 15:46:33 - mmengine - INFO - Epoch(train) [25][4600/5005] lr: 1.0000e-01 eta: 18:26:48 time: 0.1706 data_time: 0.0017 loss: 2.2172 03/10 15:46:50 - mmengine - INFO - Epoch(train) [25][4700/5005] lr: 1.0000e-01 eta: 18:26:29 time: 0.1691 data_time: 0.0017 loss: 2.2047 03/10 15:47:07 - mmengine - INFO - Epoch(train) [25][4800/5005] lr: 1.0000e-01 eta: 18:26:09 time: 0.1698 data_time: 0.0019 loss: 2.2267 03/10 15:47:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:47:24 - mmengine - INFO - Epoch(train) [25][4900/5005] lr: 1.0000e-01 eta: 18:25:48 time: 0.1644 data_time: 0.0016 loss: 1.9272 03/10 15:47:41 - mmengine - INFO - Epoch(train) [25][5000/5005] lr: 1.0000e-01 eta: 18:25:27 time: 0.1676 data_time: 0.0015 loss: 2.3515 03/10 15:47:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:47:46 - mmengine - INFO - Saving checkpoint at 25 epochs 03/10 15:48:05 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:00:17 time: 0.0169 data_time: 0.0003 03/10 15:48:19 - mmengine - INFO - Epoch(val) [25][196/196] accuracy/top1: 55.8740 accuracy/top5: 81.2280 03/10 15:48:55 - mmengine - INFO - Epoch(train) [26][ 100/5005] lr: 1.0000e-01 eta: 18:26:03 time: 0.1668 data_time: 0.0023 loss: 2.4215 03/10 15:49:11 - mmengine - INFO - Epoch(train) [26][ 200/5005] lr: 1.0000e-01 eta: 18:25:43 time: 0.1699 data_time: 0.0018 loss: 2.1453 03/10 15:49:29 - mmengine - INFO - Epoch(train) [26][ 300/5005] lr: 1.0000e-01 eta: 18:25:25 time: 0.1890 data_time: 0.0022 loss: 2.1614 03/10 15:49:46 - mmengine - INFO - Epoch(train) [26][ 400/5005] lr: 1.0000e-01 eta: 18:25:06 time: 0.1684 data_time: 0.0018 loss: 2.2830 03/10 15:50:04 - mmengine - INFO - Epoch(train) [26][ 500/5005] lr: 1.0000e-01 eta: 18:24:47 time: 0.1858 data_time: 0.0019 loss: 2.2880 03/10 15:50:21 - mmengine - INFO - Epoch(train) [26][ 600/5005] lr: 1.0000e-01 eta: 18:24:27 time: 0.1701 data_time: 0.0019 loss: 2.3036 03/10 15:50:38 - mmengine - INFO - Epoch(train) [26][ 700/5005] lr: 1.0000e-01 eta: 18:24:08 time: 0.1709 data_time: 0.0016 loss: 2.1872 03/10 15:50:55 - mmengine - INFO - Epoch(train) [26][ 800/5005] lr: 1.0000e-01 eta: 18:23:49 time: 0.2076 data_time: 0.0017 loss: 2.2887 03/10 15:51:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:51:13 - mmengine - INFO - Epoch(train) [26][ 900/5005] lr: 1.0000e-01 eta: 18:23:31 time: 0.1710 data_time: 0.0020 loss: 1.9978 03/10 15:51:30 - mmengine - INFO - Epoch(train) [26][1000/5005] lr: 1.0000e-01 eta: 18:23:11 time: 0.1710 data_time: 0.0018 loss: 1.9986 03/10 15:51:47 - mmengine - INFO - Epoch(train) [26][1100/5005] lr: 1.0000e-01 eta: 18:22:52 time: 0.1780 data_time: 0.0017 loss: 2.3835 03/10 15:52:04 - mmengine - INFO - Epoch(train) [26][1200/5005] lr: 1.0000e-01 eta: 18:22:33 time: 0.1835 data_time: 0.0018 loss: 2.3021 03/10 15:52:21 - mmengine - INFO - Epoch(train) [26][1300/5005] lr: 1.0000e-01 eta: 18:22:13 time: 0.1660 data_time: 0.0019 loss: 2.1633 03/10 15:52:39 - mmengine - INFO - Epoch(train) [26][1400/5005] lr: 1.0000e-01 eta: 18:21:54 time: 0.1677 data_time: 0.0018 loss: 2.1418 03/10 15:52:56 - mmengine - INFO - Epoch(train) [26][1500/5005] lr: 1.0000e-01 eta: 18:21:35 time: 0.1689 data_time: 0.0019 loss: 2.2915 03/10 15:53:13 - mmengine - INFO - Epoch(train) [26][1600/5005] lr: 1.0000e-01 eta: 18:21:16 time: 0.1730 data_time: 0.0019 loss: 2.3369 03/10 15:53:30 - mmengine - INFO - Epoch(train) [26][1700/5005] lr: 1.0000e-01 eta: 18:20:56 time: 0.1658 data_time: 0.0016 loss: 2.2076 03/10 15:53:48 - mmengine - INFO - Epoch(train) [26][1800/5005] lr: 1.0000e-01 eta: 18:20:37 time: 0.1710 data_time: 0.0021 loss: 1.9535 03/10 15:54:00 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:54:05 - mmengine - INFO - Epoch(train) [26][1900/5005] lr: 1.0000e-01 eta: 18:20:18 time: 0.1698 data_time: 0.0018 loss: 2.2759 03/10 15:54:22 - mmengine - INFO - Epoch(train) [26][2000/5005] lr: 1.0000e-01 eta: 18:19:59 time: 0.1721 data_time: 0.0018 loss: 2.2859 03/10 15:54:39 - mmengine - INFO - Epoch(train) [26][2100/5005] lr: 1.0000e-01 eta: 18:19:40 time: 0.1673 data_time: 0.0022 loss: 2.1815 03/10 15:54:56 - mmengine - INFO - Epoch(train) [26][2200/5005] lr: 1.0000e-01 eta: 18:19:20 time: 0.1703 data_time: 0.0018 loss: 2.3094 03/10 15:55:14 - mmengine - INFO - Epoch(train) [26][2300/5005] lr: 1.0000e-01 eta: 18:19:01 time: 0.1691 data_time: 0.0018 loss: 2.0416 03/10 15:55:31 - mmengine - INFO - Epoch(train) [26][2400/5005] lr: 1.0000e-01 eta: 18:18:42 time: 0.1871 data_time: 0.0019 loss: 2.4933 03/10 15:55:48 - mmengine - INFO - Epoch(train) [26][2500/5005] lr: 1.0000e-01 eta: 18:18:23 time: 0.1842 data_time: 0.0018 loss: 2.3806 03/10 15:56:05 - mmengine - INFO - Epoch(train) [26][2600/5005] lr: 1.0000e-01 eta: 18:18:04 time: 0.1814 data_time: 0.0020 loss: 2.3345 03/10 15:56:23 - mmengine - INFO - Epoch(train) [26][2700/5005] lr: 1.0000e-01 eta: 18:17:45 time: 0.1685 data_time: 0.0018 loss: 2.1255 03/10 15:56:40 - mmengine - INFO - Epoch(train) [26][2800/5005] lr: 1.0000e-01 eta: 18:17:26 time: 0.1712 data_time: 0.0018 loss: 2.2100 03/10 15:56:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:56:57 - mmengine - INFO - Epoch(train) [26][2900/5005] lr: 1.0000e-01 eta: 18:17:06 time: 0.1676 data_time: 0.0017 loss: 2.2761 03/10 15:57:14 - mmengine - INFO - Epoch(train) [26][3000/5005] lr: 1.0000e-01 eta: 18:16:46 time: 0.1679 data_time: 0.0021 loss: 2.3073 03/10 15:57:31 - mmengine - INFO - Epoch(train) [26][3100/5005] lr: 1.0000e-01 eta: 18:16:28 time: 0.1682 data_time: 0.0020 loss: 2.2856 03/10 15:57:49 - mmengine - INFO - Epoch(train) [26][3200/5005] lr: 1.0000e-01 eta: 18:16:09 time: 0.1851 data_time: 0.0019 loss: 2.2276 03/10 15:58:06 - mmengine - INFO - Epoch(train) [26][3300/5005] lr: 1.0000e-01 eta: 18:15:50 time: 0.1695 data_time: 0.0020 loss: 2.1501 03/10 15:58:23 - mmengine - INFO - Epoch(train) [26][3400/5005] lr: 1.0000e-01 eta: 18:15:31 time: 0.1706 data_time: 0.0018 loss: 2.1836 03/10 15:58:40 - mmengine - INFO - Epoch(train) [26][3500/5005] lr: 1.0000e-01 eta: 18:15:11 time: 0.1689 data_time: 0.0018 loss: 2.1845 03/10 15:58:57 - mmengine - INFO - Epoch(train) [26][3600/5005] lr: 1.0000e-01 eta: 18:14:52 time: 0.1673 data_time: 0.0018 loss: 2.1945 03/10 15:59:15 - mmengine - INFO - Epoch(train) [26][3700/5005] lr: 1.0000e-01 eta: 18:14:33 time: 0.1694 data_time: 0.0018 loss: 2.1283 03/10 15:59:32 - mmengine - INFO - Epoch(train) [26][3800/5005] lr: 1.0000e-01 eta: 18:14:14 time: 0.1669 data_time: 0.0020 loss: 2.2854 03/10 15:59:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 15:59:49 - mmengine - INFO - Epoch(train) [26][3900/5005] lr: 1.0000e-01 eta: 18:13:55 time: 0.1697 data_time: 0.0017 loss: 2.2862 03/10 16:00:06 - mmengine - INFO - Epoch(train) [26][4000/5005] lr: 1.0000e-01 eta: 18:13:36 time: 0.1710 data_time: 0.0017 loss: 2.2389 03/10 16:00:23 - mmengine - INFO - Epoch(train) [26][4100/5005] lr: 1.0000e-01 eta: 18:13:17 time: 0.1686 data_time: 0.0020 loss: 2.4664 03/10 16:00:40 - mmengine - INFO - Epoch(train) [26][4200/5005] lr: 1.0000e-01 eta: 18:12:57 time: 0.1696 data_time: 0.0018 loss: 2.2365 03/10 16:00:58 - mmengine - INFO - Epoch(train) [26][4300/5005] lr: 1.0000e-01 eta: 18:12:38 time: 0.1710 data_time: 0.0019 loss: 2.3278 03/10 16:01:15 - mmengine - INFO - Epoch(train) [26][4400/5005] lr: 1.0000e-01 eta: 18:12:19 time: 0.1704 data_time: 0.0019 loss: 2.4936 03/10 16:01:32 - mmengine - INFO - Epoch(train) [26][4500/5005] lr: 1.0000e-01 eta: 18:12:00 time: 0.1724 data_time: 0.0019 loss: 2.2942 03/10 16:01:49 - mmengine - INFO - Epoch(train) [26][4600/5005] lr: 1.0000e-01 eta: 18:11:40 time: 0.1808 data_time: 0.0019 loss: 2.1676 03/10 16:02:06 - mmengine - INFO - Epoch(train) [26][4700/5005] lr: 1.0000e-01 eta: 18:11:21 time: 0.1689 data_time: 0.0018 loss: 2.3101 03/10 16:02:24 - mmengine - INFO - Epoch(train) [26][4800/5005] lr: 1.0000e-01 eta: 18:11:02 time: 0.1704 data_time: 0.0017 loss: 2.0069 03/10 16:02:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:02:41 - mmengine - INFO - Epoch(train) [26][4900/5005] lr: 1.0000e-01 eta: 18:10:42 time: 0.1687 data_time: 0.0018 loss: 2.3517 03/10 16:02:58 - mmengine - INFO - Epoch(train) [26][5000/5005] lr: 1.0000e-01 eta: 18:10:23 time: 0.1694 data_time: 0.0021 loss: 2.1486 03/10 16:02:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:03:04 - mmengine - INFO - Saving checkpoint at 26 epochs 03/10 16:03:22 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:00:17 time: 0.0154 data_time: 0.0003 03/10 16:03:37 - mmengine - INFO - Epoch(val) [26][196/196] accuracy/top1: 55.1440 accuracy/top5: 80.4200 03/10 16:04:13 - mmengine - INFO - Epoch(train) [27][ 100/5005] lr: 1.0000e-01 eta: 18:10:55 time: 0.1681 data_time: 0.0023 loss: 2.2855 03/10 16:04:30 - mmengine - INFO - Epoch(train) [27][ 200/5005] lr: 1.0000e-01 eta: 18:10:35 time: 0.1677 data_time: 0.0024 loss: 2.2869 03/10 16:04:48 - mmengine - INFO - Epoch(train) [27][ 300/5005] lr: 1.0000e-01 eta: 18:10:19 time: 0.1704 data_time: 0.0017 loss: 2.1666 03/10 16:05:05 - mmengine - INFO - Epoch(train) [27][ 400/5005] lr: 1.0000e-01 eta: 18:10:00 time: 0.1683 data_time: 0.0019 loss: 2.0717 03/10 16:05:22 - mmengine - INFO - Epoch(train) [27][ 500/5005] lr: 1.0000e-01 eta: 18:09:40 time: 0.1652 data_time: 0.0017 loss: 2.1216 03/10 16:05:39 - mmengine - INFO - Epoch(train) [27][ 600/5005] lr: 1.0000e-01 eta: 18:09:21 time: 0.1701 data_time: 0.0020 loss: 1.9938 03/10 16:05:57 - mmengine - INFO - Epoch(train) [27][ 700/5005] lr: 1.0000e-01 eta: 18:09:02 time: 0.1682 data_time: 0.0021 loss: 2.2729 03/10 16:06:14 - mmengine - INFO - Epoch(train) [27][ 800/5005] lr: 1.0000e-01 eta: 18:08:43 time: 0.1689 data_time: 0.0017 loss: 2.1274 03/10 16:06:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:06:31 - mmengine - INFO - Epoch(train) [27][ 900/5005] lr: 1.0000e-01 eta: 18:08:23 time: 0.1826 data_time: 0.0020 loss: 2.5070 03/10 16:06:48 - mmengine - INFO - Epoch(train) [27][1000/5005] lr: 1.0000e-01 eta: 18:08:04 time: 0.1690 data_time: 0.0020 loss: 2.2283 03/10 16:07:05 - mmengine - INFO - Epoch(train) [27][1100/5005] lr: 1.0000e-01 eta: 18:07:45 time: 0.1673 data_time: 0.0021 loss: 2.4125 03/10 16:07:22 - mmengine - INFO - Epoch(train) [27][1200/5005] lr: 1.0000e-01 eta: 18:07:25 time: 0.1685 data_time: 0.0019 loss: 2.3810 03/10 16:07:40 - mmengine - INFO - Epoch(train) [27][1300/5005] lr: 1.0000e-01 eta: 18:07:06 time: 0.1872 data_time: 0.0024 loss: 2.1998 03/10 16:07:58 - mmengine - INFO - Epoch(train) [27][1400/5005] lr: 1.0000e-01 eta: 18:06:49 time: 0.1666 data_time: 0.0018 loss: 2.0858 03/10 16:08:15 - mmengine - INFO - Epoch(train) [27][1500/5005] lr: 1.0000e-01 eta: 18:06:29 time: 0.1652 data_time: 0.0017 loss: 2.1515 03/10 16:08:32 - mmengine - INFO - Epoch(train) [27][1600/5005] lr: 1.0000e-01 eta: 18:06:10 time: 0.1688 data_time: 0.0018 loss: 2.1602 03/10 16:08:49 - mmengine - INFO - Epoch(train) [27][1700/5005] lr: 1.0000e-01 eta: 18:05:51 time: 0.1687 data_time: 0.0018 loss: 2.1760 03/10 16:09:06 - mmengine - INFO - Epoch(train) [27][1800/5005] lr: 1.0000e-01 eta: 18:05:32 time: 0.1673 data_time: 0.0018 loss: 2.1171 03/10 16:09:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:09:23 - mmengine - INFO - Epoch(train) [27][1900/5005] lr: 1.0000e-01 eta: 18:05:12 time: 0.1682 data_time: 0.0017 loss: 2.0873 03/10 16:09:40 - mmengine - INFO - Epoch(train) [27][2000/5005] lr: 1.0000e-01 eta: 18:04:53 time: 0.1694 data_time: 0.0019 loss: 2.5521 03/10 16:09:57 - mmengine - INFO - Epoch(train) [27][2100/5005] lr: 1.0000e-01 eta: 18:04:33 time: 0.1672 data_time: 0.0019 loss: 2.1047 03/10 16:10:14 - mmengine - INFO - Epoch(train) [27][2200/5005] lr: 1.0000e-01 eta: 18:04:14 time: 0.1680 data_time: 0.0017 loss: 2.2699 03/10 16:10:32 - mmengine - INFO - Epoch(train) [27][2300/5005] lr: 1.0000e-01 eta: 18:03:55 time: 0.1667 data_time: 0.0019 loss: 2.0392 03/10 16:10:49 - mmengine - INFO - Epoch(train) [27][2400/5005] lr: 1.0000e-01 eta: 18:03:36 time: 0.1816 data_time: 0.0018 loss: 2.1935 03/10 16:11:06 - mmengine - INFO - Epoch(train) [27][2500/5005] lr: 1.0000e-01 eta: 18:03:17 time: 0.1702 data_time: 0.0018 loss: 2.1156 03/10 16:11:23 - mmengine - INFO - Epoch(train) [27][2600/5005] lr: 1.0000e-01 eta: 18:02:57 time: 0.1688 data_time: 0.0017 loss: 2.1443 03/10 16:11:40 - mmengine - INFO - Epoch(train) [27][2700/5005] lr: 1.0000e-01 eta: 18:02:38 time: 0.1690 data_time: 0.0019 loss: 2.3121 03/10 16:11:57 - mmengine - INFO - Epoch(train) [27][2800/5005] lr: 1.0000e-01 eta: 18:02:19 time: 0.1661 data_time: 0.0019 loss: 2.3279 03/10 16:12:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:12:15 - mmengine - INFO - Epoch(train) [27][2900/5005] lr: 1.0000e-01 eta: 18:02:00 time: 0.1695 data_time: 0.0017 loss: 2.0494 03/10 16:12:32 - mmengine - INFO - Epoch(train) [27][3000/5005] lr: 1.0000e-01 eta: 18:01:41 time: 0.1871 data_time: 0.0020 loss: 2.2528 03/10 16:12:49 - mmengine - INFO - Epoch(train) [27][3100/5005] lr: 1.0000e-01 eta: 18:01:22 time: 0.1665 data_time: 0.0016 loss: 2.4568 03/10 16:13:06 - mmengine - INFO - Epoch(train) [27][3200/5005] lr: 1.0000e-01 eta: 18:01:02 time: 0.1691 data_time: 0.0018 loss: 2.3461 03/10 16:13:23 - mmengine - INFO - Epoch(train) [27][3300/5005] lr: 1.0000e-01 eta: 18:00:43 time: 0.1667 data_time: 0.0018 loss: 2.2201 03/10 16:13:41 - mmengine - INFO - Epoch(train) [27][3400/5005] lr: 1.0000e-01 eta: 18:00:24 time: 0.1678 data_time: 0.0019 loss: 2.2254 03/10 16:13:58 - mmengine - INFO - Epoch(train) [27][3500/5005] lr: 1.0000e-01 eta: 18:00:05 time: 0.1688 data_time: 0.0018 loss: 2.4180 03/10 16:14:15 - mmengine - INFO - Epoch(train) [27][3600/5005] lr: 1.0000e-01 eta: 17:59:46 time: 0.1709 data_time: 0.0018 loss: 2.1702 03/10 16:14:32 - mmengine - INFO - Epoch(train) [27][3700/5005] lr: 1.0000e-01 eta: 17:59:27 time: 0.1677 data_time: 0.0018 loss: 2.0470 03/10 16:14:49 - mmengine - INFO - Epoch(train) [27][3800/5005] lr: 1.0000e-01 eta: 17:59:07 time: 0.1682 data_time: 0.0018 loss: 2.0295 03/10 16:15:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:15:06 - mmengine - INFO - Epoch(train) [27][3900/5005] lr: 1.0000e-01 eta: 17:58:47 time: 0.1675 data_time: 0.0017 loss: 2.2139 03/10 16:15:24 - mmengine - INFO - Epoch(train) [27][4000/5005] lr: 1.0000e-01 eta: 17:58:29 time: 0.1700 data_time: 0.0019 loss: 2.1880 03/10 16:15:41 - mmengine - INFO - Epoch(train) [27][4100/5005] lr: 1.0000e-01 eta: 17:58:10 time: 0.1667 data_time: 0.0019 loss: 2.2297 03/10 16:15:58 - mmengine - INFO - Epoch(train) [27][4200/5005] lr: 1.0000e-01 eta: 17:57:51 time: 0.1691 data_time: 0.0018 loss: 2.1449 03/10 16:16:15 - mmengine - INFO - Epoch(train) [27][4300/5005] lr: 1.0000e-01 eta: 17:57:32 time: 0.1676 data_time: 0.0018 loss: 2.1604 03/10 16:16:32 - mmengine - INFO - Epoch(train) [27][4400/5005] lr: 1.0000e-01 eta: 17:57:13 time: 0.1658 data_time: 0.0020 loss: 2.2457 03/10 16:16:49 - mmengine - INFO - Epoch(train) [27][4500/5005] lr: 1.0000e-01 eta: 17:56:53 time: 0.1689 data_time: 0.0018 loss: 2.2727 03/10 16:17:07 - mmengine - INFO - Epoch(train) [27][4600/5005] lr: 1.0000e-01 eta: 17:56:35 time: 0.1683 data_time: 0.0017 loss: 2.1754 03/10 16:17:24 - mmengine - INFO - Epoch(train) [27][4700/5005] lr: 1.0000e-01 eta: 17:56:16 time: 0.1887 data_time: 0.0017 loss: 2.3798 03/10 16:17:41 - mmengine - INFO - Epoch(train) [27][4800/5005] lr: 1.0000e-01 eta: 17:55:56 time: 0.1663 data_time: 0.0018 loss: 2.1745 03/10 16:17:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:17:58 - mmengine - INFO - Epoch(train) [27][4900/5005] lr: 1.0000e-01 eta: 17:55:36 time: 0.1644 data_time: 0.0016 loss: 2.4029 03/10 16:18:14 - mmengine - INFO - Epoch(train) [27][5000/5005] lr: 1.0000e-01 eta: 17:55:15 time: 0.1666 data_time: 0.0020 loss: 2.2179 03/10 16:18:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:18:20 - mmengine - INFO - Saving checkpoint at 27 epochs 03/10 16:18:39 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:00:17 time: 0.0175 data_time: 0.0004 03/10 16:18:54 - mmengine - INFO - Epoch(val) [27][196/196] accuracy/top1: 55.9900 accuracy/top5: 80.7320 03/10 16:19:29 - mmengine - INFO - Epoch(train) [28][ 100/5005] lr: 1.0000e-01 eta: 17:55:45 time: 0.1887 data_time: 0.0019 loss: 2.1935 03/10 16:19:47 - mmengine - INFO - Epoch(train) [28][ 200/5005] lr: 1.0000e-01 eta: 17:55:26 time: 0.1692 data_time: 0.0020 loss: 2.3399 03/10 16:20:04 - mmengine - INFO - Epoch(train) [28][ 300/5005] lr: 1.0000e-01 eta: 17:55:08 time: 0.1705 data_time: 0.0017 loss: 2.3744 03/10 16:20:21 - mmengine - INFO - Epoch(train) [28][ 400/5005] lr: 1.0000e-01 eta: 17:54:49 time: 0.1691 data_time: 0.0019 loss: 2.1280 03/10 16:20:39 - mmengine - INFO - Epoch(train) [28][ 500/5005] lr: 1.0000e-01 eta: 17:54:30 time: 0.1692 data_time: 0.0020 loss: 2.3709 03/10 16:20:56 - mmengine - INFO - Epoch(train) [28][ 600/5005] lr: 1.0000e-01 eta: 17:54:11 time: 0.1703 data_time: 0.0019 loss: 2.2594 03/10 16:21:13 - mmengine - INFO - Epoch(train) [28][ 700/5005] lr: 1.0000e-01 eta: 17:53:53 time: 0.1668 data_time: 0.0019 loss: 2.3315 03/10 16:21:31 - mmengine - INFO - Epoch(train) [28][ 800/5005] lr: 1.0000e-01 eta: 17:53:34 time: 0.1712 data_time: 0.0021 loss: 2.2699 03/10 16:21:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:21:48 - mmengine - INFO - Epoch(train) [28][ 900/5005] lr: 1.0000e-01 eta: 17:53:15 time: 0.1698 data_time: 0.0017 loss: 2.1714 03/10 16:22:05 - mmengine - INFO - Epoch(train) [28][1000/5005] lr: 1.0000e-01 eta: 17:52:56 time: 0.1669 data_time: 0.0019 loss: 2.1945 03/10 16:22:22 - mmengine - INFO - Epoch(train) [28][1100/5005] lr: 1.0000e-01 eta: 17:52:37 time: 0.1669 data_time: 0.0020 loss: 2.1260 03/10 16:22:39 - mmengine - INFO - Epoch(train) [28][1200/5005] lr: 1.0000e-01 eta: 17:52:18 time: 0.1695 data_time: 0.0022 loss: 2.3094 03/10 16:22:57 - mmengine - INFO - Epoch(train) [28][1300/5005] lr: 1.0000e-01 eta: 17:52:00 time: 0.1667 data_time: 0.0018 loss: 2.2603 03/10 16:23:14 - mmengine - INFO - Epoch(train) [28][1400/5005] lr: 1.0000e-01 eta: 17:51:40 time: 0.1726 data_time: 0.0018 loss: 2.2645 03/10 16:23:31 - mmengine - INFO - Epoch(train) [28][1500/5005] lr: 1.0000e-01 eta: 17:51:21 time: 0.1706 data_time: 0.0019 loss: 2.0551 03/10 16:23:48 - mmengine - INFO - Epoch(train) [28][1600/5005] lr: 1.0000e-01 eta: 17:51:02 time: 0.1699 data_time: 0.0020 loss: 2.0584 03/10 16:24:06 - mmengine - INFO - Epoch(train) [28][1700/5005] lr: 1.0000e-01 eta: 17:50:43 time: 0.1876 data_time: 0.0021 loss: 2.1770 03/10 16:24:23 - mmengine - INFO - Epoch(train) [28][1800/5005] lr: 1.0000e-01 eta: 17:50:24 time: 0.1689 data_time: 0.0018 loss: 2.4839 03/10 16:24:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:24:40 - mmengine - INFO - Epoch(train) [28][1900/5005] lr: 1.0000e-01 eta: 17:50:06 time: 0.1678 data_time: 0.0018 loss: 2.2664 03/10 16:24:57 - mmengine - INFO - Epoch(train) [28][2000/5005] lr: 1.0000e-01 eta: 17:49:46 time: 0.1694 data_time: 0.0019 loss: 2.4407 03/10 16:25:14 - mmengine - INFO - Epoch(train) [28][2100/5005] lr: 1.0000e-01 eta: 17:49:27 time: 0.1686 data_time: 0.0020 loss: 1.9054 03/10 16:25:31 - mmengine - INFO - Epoch(train) [28][2200/5005] lr: 1.0000e-01 eta: 17:49:07 time: 0.1703 data_time: 0.0021 loss: 2.0637 03/10 16:25:49 - mmengine - INFO - Epoch(train) [28][2300/5005] lr: 1.0000e-01 eta: 17:48:48 time: 0.1661 data_time: 0.0020 loss: 2.1050 03/10 16:26:06 - mmengine - INFO - Epoch(train) [28][2400/5005] lr: 1.0000e-01 eta: 17:48:31 time: 0.1686 data_time: 0.0018 loss: 2.1381 03/10 16:26:24 - mmengine - INFO - Epoch(train) [28][2500/5005] lr: 1.0000e-01 eta: 17:48:11 time: 0.1667 data_time: 0.0019 loss: 2.4455 03/10 16:26:41 - mmengine - INFO - Epoch(train) [28][2600/5005] lr: 1.0000e-01 eta: 17:47:52 time: 0.1699 data_time: 0.0019 loss: 2.1554 03/10 16:26:58 - mmengine - INFO - Epoch(train) [28][2700/5005] lr: 1.0000e-01 eta: 17:47:32 time: 0.1664 data_time: 0.0018 loss: 2.1120 03/10 16:27:14 - mmengine - INFO - Epoch(train) [28][2800/5005] lr: 1.0000e-01 eta: 17:47:13 time: 0.1680 data_time: 0.0018 loss: 2.2772 03/10 16:27:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:27:32 - mmengine - INFO - Epoch(train) [28][2900/5005] lr: 1.0000e-01 eta: 17:46:53 time: 0.1682 data_time: 0.0018 loss: 2.2760 03/10 16:27:49 - mmengine - INFO - Epoch(train) [28][3000/5005] lr: 1.0000e-01 eta: 17:46:36 time: 0.1851 data_time: 0.0017 loss: 2.0337 03/10 16:28:07 - mmengine - INFO - Epoch(train) [28][3100/5005] lr: 1.0000e-01 eta: 17:46:17 time: 0.1716 data_time: 0.0017 loss: 2.1890 03/10 16:28:24 - mmengine - INFO - Epoch(train) [28][3200/5005] lr: 1.0000e-01 eta: 17:45:58 time: 0.1683 data_time: 0.0017 loss: 2.1621 03/10 16:28:40 - mmengine - INFO - Epoch(train) [28][3300/5005] lr: 1.0000e-01 eta: 17:45:38 time: 0.1672 data_time: 0.0019 loss: 2.3749 03/10 16:28:57 - mmengine - INFO - Epoch(train) [28][3400/5005] lr: 1.0000e-01 eta: 17:45:18 time: 0.1689 data_time: 0.0018 loss: 2.1839 03/10 16:29:14 - mmengine - INFO - Epoch(train) [28][3500/5005] lr: 1.0000e-01 eta: 17:44:58 time: 0.1688 data_time: 0.0019 loss: 2.2801 03/10 16:29:32 - mmengine - INFO - Epoch(train) [28][3600/5005] lr: 1.0000e-01 eta: 17:44:40 time: 0.1666 data_time: 0.0018 loss: 2.2426 03/10 16:29:49 - mmengine - INFO - Epoch(train) [28][3700/5005] lr: 1.0000e-01 eta: 17:44:22 time: 0.1668 data_time: 0.0016 loss: 2.2887 03/10 16:30:06 - mmengine - INFO - Epoch(train) [28][3800/5005] lr: 1.0000e-01 eta: 17:44:02 time: 0.1669 data_time: 0.0019 loss: 2.0858 03/10 16:30:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:30:23 - mmengine - INFO - Epoch(train) [28][3900/5005] lr: 1.0000e-01 eta: 17:43:43 time: 0.1681 data_time: 0.0017 loss: 2.2456 03/10 16:30:40 - mmengine - INFO - Epoch(train) [28][4000/5005] lr: 1.0000e-01 eta: 17:43:23 time: 0.1689 data_time: 0.0018 loss: 2.3425 03/10 16:30:57 - mmengine - INFO - Epoch(train) [28][4100/5005] lr: 1.0000e-01 eta: 17:43:04 time: 0.1707 data_time: 0.0020 loss: 2.3663 03/10 16:31:15 - mmengine - INFO - Epoch(train) [28][4200/5005] lr: 1.0000e-01 eta: 17:42:45 time: 0.1679 data_time: 0.0017 loss: 2.1667 03/10 16:31:32 - mmengine - INFO - Epoch(train) [28][4300/5005] lr: 1.0000e-01 eta: 17:42:27 time: 0.1838 data_time: 0.0019 loss: 2.0906 03/10 16:31:49 - mmengine - INFO - Epoch(train) [28][4400/5005] lr: 1.0000e-01 eta: 17:42:08 time: 0.1668 data_time: 0.0020 loss: 2.4098 03/10 16:32:06 - mmengine - INFO - Epoch(train) [28][4500/5005] lr: 1.0000e-01 eta: 17:41:49 time: 0.1680 data_time: 0.0021 loss: 2.2600 03/10 16:32:23 - mmengine - INFO - Epoch(train) [28][4600/5005] lr: 1.0000e-01 eta: 17:41:29 time: 0.1689 data_time: 0.0018 loss: 2.2966 03/10 16:32:40 - mmengine - INFO - Epoch(train) [28][4700/5005] lr: 1.0000e-01 eta: 17:41:09 time: 0.1695 data_time: 0.0016 loss: 2.2348 03/10 16:32:57 - mmengine - INFO - Epoch(train) [28][4800/5005] lr: 1.0000e-01 eta: 17:40:50 time: 0.1674 data_time: 0.0018 loss: 2.2551 03/10 16:33:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:33:14 - mmengine - INFO - Epoch(train) [28][4900/5005] lr: 1.0000e-01 eta: 17:40:30 time: 0.1663 data_time: 0.0018 loss: 2.3881 03/10 16:33:31 - mmengine - INFO - Epoch(train) [28][5000/5005] lr: 1.0000e-01 eta: 17:40:10 time: 0.1660 data_time: 0.0018 loss: 2.0770 03/10 16:33:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:33:37 - mmengine - INFO - Saving checkpoint at 28 epochs 03/10 16:33:56 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:00:17 time: 0.0146 data_time: 0.0004 03/10 16:34:10 - mmengine - INFO - Epoch(val) [28][196/196] accuracy/top1: 56.1420 accuracy/top5: 80.9440 03/10 16:34:45 - mmengine - INFO - Epoch(train) [29][ 100/5005] lr: 1.0000e-01 eta: 17:40:35 time: 0.1664 data_time: 0.0022 loss: 2.2010 03/10 16:35:02 - mmengine - INFO - Epoch(train) [29][ 200/5005] lr: 1.0000e-01 eta: 17:40:15 time: 0.1677 data_time: 0.0020 loss: 2.3040 03/10 16:35:19 - mmengine - INFO - Epoch(train) [29][ 300/5005] lr: 1.0000e-01 eta: 17:39:56 time: 0.1688 data_time: 0.0019 loss: 1.8794 03/10 16:35:36 - mmengine - INFO - Epoch(train) [29][ 400/5005] lr: 1.0000e-01 eta: 17:39:36 time: 0.1746 data_time: 0.0019 loss: 2.2302 03/10 16:35:54 - mmengine - INFO - Epoch(train) [29][ 500/5005] lr: 1.0000e-01 eta: 17:39:19 time: 0.1677 data_time: 0.0020 loss: 2.2382 03/10 16:36:11 - mmengine - INFO - Epoch(train) [29][ 600/5005] lr: 1.0000e-01 eta: 17:39:01 time: 0.1867 data_time: 0.0017 loss: 2.0601 03/10 16:36:28 - mmengine - INFO - Epoch(train) [29][ 700/5005] lr: 1.0000e-01 eta: 17:38:41 time: 0.1687 data_time: 0.0018 loss: 1.9800 03/10 16:36:45 - mmengine - INFO - Epoch(train) [29][ 800/5005] lr: 1.0000e-01 eta: 17:38:22 time: 0.1702 data_time: 0.0020 loss: 2.1585 03/10 16:36:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:37:02 - mmengine - INFO - Epoch(train) [29][ 900/5005] lr: 1.0000e-01 eta: 17:38:02 time: 0.1709 data_time: 0.0019 loss: 2.2998 03/10 16:37:20 - mmengine - INFO - Epoch(train) [29][1000/5005] lr: 1.0000e-01 eta: 17:37:43 time: 0.1699 data_time: 0.0019 loss: 2.2280 03/10 16:37:37 - mmengine - INFO - Epoch(train) [29][1100/5005] lr: 1.0000e-01 eta: 17:37:25 time: 0.1878 data_time: 0.0017 loss: 2.2140 03/10 16:37:55 - mmengine - INFO - Epoch(train) [29][1200/5005] lr: 1.0000e-01 eta: 17:37:08 time: 0.1893 data_time: 0.0019 loss: 2.2939 03/10 16:38:12 - mmengine - INFO - Epoch(train) [29][1300/5005] lr: 1.0000e-01 eta: 17:36:48 time: 0.1685 data_time: 0.0019 loss: 2.2140 03/10 16:38:29 - mmengine - INFO - Epoch(train) [29][1400/5005] lr: 1.0000e-01 eta: 17:36:28 time: 0.1676 data_time: 0.0017 loss: 2.1228 03/10 16:38:46 - mmengine - INFO - Epoch(train) [29][1500/5005] lr: 1.0000e-01 eta: 17:36:09 time: 0.1683 data_time: 0.0018 loss: 1.9126 03/10 16:39:03 - mmengine - INFO - Epoch(train) [29][1600/5005] lr: 1.0000e-01 eta: 17:35:50 time: 0.1685 data_time: 0.0018 loss: 2.1408 03/10 16:39:20 - mmengine - INFO - Epoch(train) [29][1700/5005] lr: 1.0000e-01 eta: 17:35:32 time: 0.2006 data_time: 0.0020 loss: 2.2833 03/10 16:39:38 - mmengine - INFO - Epoch(train) [29][1800/5005] lr: 1.0000e-01 eta: 17:35:13 time: 0.1676 data_time: 0.0018 loss: 2.3814 03/10 16:39:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:39:55 - mmengine - INFO - Epoch(train) [29][1900/5005] lr: 1.0000e-01 eta: 17:34:54 time: 0.1714 data_time: 0.0017 loss: 2.2197 03/10 16:40:12 - mmengine - INFO - Epoch(train) [29][2000/5005] lr: 1.0000e-01 eta: 17:34:35 time: 0.1696 data_time: 0.0019 loss: 2.0438 03/10 16:40:29 - mmengine - INFO - Epoch(train) [29][2100/5005] lr: 1.0000e-01 eta: 17:34:15 time: 0.1680 data_time: 0.0018 loss: 2.1829 03/10 16:40:46 - mmengine - INFO - Epoch(train) [29][2200/5005] lr: 1.0000e-01 eta: 17:33:56 time: 0.1683 data_time: 0.0018 loss: 2.1486 03/10 16:41:03 - mmengine - INFO - Epoch(train) [29][2300/5005] lr: 1.0000e-01 eta: 17:33:38 time: 0.1706 data_time: 0.0016 loss: 2.1322 03/10 16:41:21 - mmengine - INFO - Epoch(train) [29][2400/5005] lr: 1.0000e-01 eta: 17:33:19 time: 0.1684 data_time: 0.0020 loss: 2.2247 03/10 16:41:38 - mmengine - INFO - Epoch(train) [29][2500/5005] lr: 1.0000e-01 eta: 17:33:00 time: 0.1671 data_time: 0.0018 loss: 2.1408 03/10 16:41:55 - mmengine - INFO - Epoch(train) [29][2600/5005] lr: 1.0000e-01 eta: 17:32:41 time: 0.1676 data_time: 0.0019 loss: 2.1329 03/10 16:42:12 - mmengine - INFO - Epoch(train) [29][2700/5005] lr: 1.0000e-01 eta: 17:32:22 time: 0.1677 data_time: 0.0019 loss: 2.2811 03/10 16:42:29 - mmengine - INFO - Epoch(train) [29][2800/5005] lr: 1.0000e-01 eta: 17:32:03 time: 0.1690 data_time: 0.0023 loss: 1.9733 03/10 16:42:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:42:47 - mmengine - INFO - Epoch(train) [29][2900/5005] lr: 1.0000e-01 eta: 17:31:45 time: 0.2012 data_time: 0.0017 loss: 2.0120 03/10 16:43:04 - mmengine - INFO - Epoch(train) [29][3000/5005] lr: 1.0000e-01 eta: 17:31:26 time: 0.1680 data_time: 0.0019 loss: 2.0845 03/10 16:43:21 - mmengine - INFO - Epoch(train) [29][3100/5005] lr: 1.0000e-01 eta: 17:31:06 time: 0.1671 data_time: 0.0019 loss: 2.0947 03/10 16:43:38 - mmengine - INFO - Epoch(train) [29][3200/5005] lr: 1.0000e-01 eta: 17:30:47 time: 0.1692 data_time: 0.0017 loss: 2.4471 03/10 16:43:55 - mmengine - INFO - Epoch(train) [29][3300/5005] lr: 1.0000e-01 eta: 17:30:28 time: 0.1675 data_time: 0.0019 loss: 2.4872 03/10 16:44:12 - mmengine - INFO - Epoch(train) [29][3400/5005] lr: 1.0000e-01 eta: 17:30:09 time: 0.1690 data_time: 0.0018 loss: 1.9420 03/10 16:44:30 - mmengine - INFO - Epoch(train) [29][3500/5005] lr: 1.0000e-01 eta: 17:29:51 time: 0.1697 data_time: 0.0019 loss: 2.3950 03/10 16:44:47 - mmengine - INFO - Epoch(train) [29][3600/5005] lr: 1.0000e-01 eta: 17:29:31 time: 0.1685 data_time: 0.0019 loss: 2.1095 03/10 16:45:04 - mmengine - INFO - Epoch(train) [29][3700/5005] lr: 1.0000e-01 eta: 17:29:12 time: 0.1673 data_time: 0.0020 loss: 2.2292 03/10 16:45:21 - mmengine - INFO - Epoch(train) [29][3800/5005] lr: 1.0000e-01 eta: 17:28:53 time: 0.1679 data_time: 0.0021 loss: 2.2642 03/10 16:45:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:45:38 - mmengine - INFO - Epoch(train) [29][3900/5005] lr: 1.0000e-01 eta: 17:28:35 time: 0.1695 data_time: 0.0018 loss: 2.1806 03/10 16:45:56 - mmengine - INFO - Epoch(train) [29][4000/5005] lr: 1.0000e-01 eta: 17:28:15 time: 0.1677 data_time: 0.0017 loss: 2.3185 03/10 16:46:13 - mmengine - INFO - Epoch(train) [29][4100/5005] lr: 1.0000e-01 eta: 17:27:57 time: 0.1698 data_time: 0.0019 loss: 2.2665 03/10 16:46:30 - mmengine - INFO - Epoch(train) [29][4200/5005] lr: 1.0000e-01 eta: 17:27:37 time: 0.1667 data_time: 0.0017 loss: 2.4198 03/10 16:46:47 - mmengine - INFO - Epoch(train) [29][4300/5005] lr: 1.0000e-01 eta: 17:27:18 time: 0.1647 data_time: 0.0020 loss: 2.0288 03/10 16:47:04 - mmengine - INFO - Epoch(train) [29][4400/5005] lr: 1.0000e-01 eta: 17:26:58 time: 0.1711 data_time: 0.0020 loss: 2.2536 03/10 16:47:21 - mmengine - INFO - Epoch(train) [29][4500/5005] lr: 1.0000e-01 eta: 17:26:40 time: 0.1890 data_time: 0.0017 loss: 2.0822 03/10 16:47:39 - mmengine - INFO - Epoch(train) [29][4600/5005] lr: 1.0000e-01 eta: 17:26:22 time: 0.1869 data_time: 0.0019 loss: 2.1318 03/10 16:47:56 - mmengine - INFO - Epoch(train) [29][4700/5005] lr: 1.0000e-01 eta: 17:26:03 time: 0.1690 data_time: 0.0019 loss: 2.5294 03/10 16:48:13 - mmengine - INFO - Epoch(train) [29][4800/5005] lr: 1.0000e-01 eta: 17:25:43 time: 0.1674 data_time: 0.0019 loss: 2.0358 03/10 16:48:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:48:29 - mmengine - INFO - Epoch(train) [29][4900/5005] lr: 1.0000e-01 eta: 17:25:23 time: 0.1668 data_time: 0.0016 loss: 2.0856 03/10 16:48:46 - mmengine - INFO - Epoch(train) [29][5000/5005] lr: 1.0000e-01 eta: 17:25:03 time: 0.1671 data_time: 0.0018 loss: 2.3412 03/10 16:48:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:48:52 - mmengine - INFO - Saving checkpoint at 29 epochs 03/10 16:49:11 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:00:17 time: 0.0165 data_time: 0.0003 03/10 16:49:26 - mmengine - INFO - Epoch(val) [29][196/196] accuracy/top1: 54.5780 accuracy/top5: 79.6540 03/10 16:50:02 - mmengine - INFO - Epoch(train) [30][ 100/5005] lr: 1.0000e-01 eta: 17:25:29 time: 0.1708 data_time: 0.0025 loss: 2.2112 03/10 16:50:20 - mmengine - INFO - Epoch(train) [30][ 200/5005] lr: 1.0000e-01 eta: 17:25:12 time: 0.1699 data_time: 0.0020 loss: 1.9951 03/10 16:50:37 - mmengine - INFO - Epoch(train) [30][ 300/5005] lr: 1.0000e-01 eta: 17:24:52 time: 0.1710 data_time: 0.0021 loss: 2.2368 03/10 16:50:54 - mmengine - INFO - Epoch(train) [30][ 400/5005] lr: 1.0000e-01 eta: 17:24:34 time: 0.1715 data_time: 0.0021 loss: 2.1448 03/10 16:51:11 - mmengine - INFO - Epoch(train) [30][ 500/5005] lr: 1.0000e-01 eta: 17:24:15 time: 0.1697 data_time: 0.0020 loss: 2.4106 03/10 16:51:29 - mmengine - INFO - Epoch(train) [30][ 600/5005] lr: 1.0000e-01 eta: 17:23:56 time: 0.1668 data_time: 0.0022 loss: 2.1739 03/10 16:51:46 - mmengine - INFO - Epoch(train) [30][ 700/5005] lr: 1.0000e-01 eta: 17:23:38 time: 0.1686 data_time: 0.0017 loss: 2.1880 03/10 16:52:04 - mmengine - INFO - Epoch(train) [30][ 800/5005] lr: 1.0000e-01 eta: 17:23:22 time: 0.1700 data_time: 0.0019 loss: 2.0517 03/10 16:52:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:52:21 - mmengine - INFO - Epoch(train) [30][ 900/5005] lr: 1.0000e-01 eta: 17:23:02 time: 0.1669 data_time: 0.0018 loss: 2.0205 03/10 16:52:38 - mmengine - INFO - Epoch(train) [30][1000/5005] lr: 1.0000e-01 eta: 17:22:43 time: 0.1681 data_time: 0.0019 loss: 2.0076 03/10 16:52:55 - mmengine - INFO - Epoch(train) [30][1100/5005] lr: 1.0000e-01 eta: 17:22:24 time: 0.1711 data_time: 0.0018 loss: 2.2470 03/10 16:53:12 - mmengine - INFO - Epoch(train) [30][1200/5005] lr: 1.0000e-01 eta: 17:22:05 time: 0.1693 data_time: 0.0018 loss: 1.9949 03/10 16:53:30 - mmengine - INFO - Epoch(train) [30][1300/5005] lr: 1.0000e-01 eta: 17:21:47 time: 0.1714 data_time: 0.0018 loss: 2.3185 03/10 16:53:47 - mmengine - INFO - Epoch(train) [30][1400/5005] lr: 1.0000e-01 eta: 17:21:27 time: 0.1701 data_time: 0.0018 loss: 2.2981 03/10 16:54:04 - mmengine - INFO - Epoch(train) [30][1500/5005] lr: 1.0000e-01 eta: 17:21:09 time: 0.1674 data_time: 0.0018 loss: 2.1784 03/10 16:54:21 - mmengine - INFO - Epoch(train) [30][1600/5005] lr: 1.0000e-01 eta: 17:20:50 time: 0.1684 data_time: 0.0018 loss: 2.3934 03/10 16:54:38 - mmengine - INFO - Epoch(train) [30][1700/5005] lr: 1.0000e-01 eta: 17:20:30 time: 0.1693 data_time: 0.0019 loss: 2.3681 03/10 16:54:56 - mmengine - INFO - Epoch(train) [30][1800/5005] lr: 1.0000e-01 eta: 17:20:12 time: 0.1709 data_time: 0.0018 loss: 2.2951 03/10 16:55:05 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:55:13 - mmengine - INFO - Epoch(train) [30][1900/5005] lr: 1.0000e-01 eta: 17:19:54 time: 0.1700 data_time: 0.0018 loss: 2.2185 03/10 16:55:31 - mmengine - INFO - Epoch(train) [30][2000/5005] lr: 1.0000e-01 eta: 17:19:35 time: 0.1697 data_time: 0.0020 loss: 2.1328 03/10 16:55:48 - mmengine - INFO - Epoch(train) [30][2100/5005] lr: 1.0000e-01 eta: 17:19:17 time: 0.1690 data_time: 0.0020 loss: 2.2480 03/10 16:56:05 - mmengine - INFO - Epoch(train) [30][2200/5005] lr: 1.0000e-01 eta: 17:18:57 time: 0.1690 data_time: 0.0020 loss: 2.2305 03/10 16:56:22 - mmengine - INFO - Epoch(train) [30][2300/5005] lr: 1.0000e-01 eta: 17:18:38 time: 0.1682 data_time: 0.0018 loss: 2.2640 03/10 16:56:39 - mmengine - INFO - Epoch(train) [30][2400/5005] lr: 1.0000e-01 eta: 17:18:19 time: 0.1677 data_time: 0.0018 loss: 2.2318 03/10 16:56:56 - mmengine - INFO - Epoch(train) [30][2500/5005] lr: 1.0000e-01 eta: 17:18:00 time: 0.1690 data_time: 0.0019 loss: 2.0547 03/10 16:57:14 - mmengine - INFO - Epoch(train) [30][2600/5005] lr: 1.0000e-01 eta: 17:17:41 time: 0.1657 data_time: 0.0019 loss: 2.2537 03/10 16:57:31 - mmengine - INFO - Epoch(train) [30][2700/5005] lr: 1.0000e-01 eta: 17:17:23 time: 0.1682 data_time: 0.0020 loss: 2.1679 03/10 16:57:48 - mmengine - INFO - Epoch(train) [30][2800/5005] lr: 1.0000e-01 eta: 17:17:04 time: 0.1689 data_time: 0.0020 loss: 1.9903 03/10 16:57:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 16:58:05 - mmengine - INFO - Epoch(train) [30][2900/5005] lr: 1.0000e-01 eta: 17:16:45 time: 0.1695 data_time: 0.0019 loss: 2.2484 03/10 16:58:22 - mmengine - INFO - Epoch(train) [30][3000/5005] lr: 1.0000e-01 eta: 17:16:26 time: 0.1689 data_time: 0.0020 loss: 2.2540 03/10 16:58:40 - mmengine - INFO - Epoch(train) [30][3100/5005] lr: 1.0000e-01 eta: 17:16:08 time: 0.1879 data_time: 0.0019 loss: 2.2200 03/10 16:58:57 - mmengine - INFO - Epoch(train) [30][3200/5005] lr: 1.0000e-01 eta: 17:15:48 time: 0.1686 data_time: 0.0018 loss: 2.3018 03/10 16:59:15 - mmengine - INFO - Epoch(train) [30][3300/5005] lr: 1.0000e-01 eta: 17:15:31 time: 0.1709 data_time: 0.0019 loss: 2.2467 03/10 16:59:32 - mmengine - INFO - Epoch(train) [30][3400/5005] lr: 1.0000e-01 eta: 17:15:11 time: 0.1703 data_time: 0.0019 loss: 2.2047 03/10 16:59:48 - mmengine - INFO - Epoch(train) [30][3500/5005] lr: 1.0000e-01 eta: 17:14:52 time: 0.1682 data_time: 0.0020 loss: 2.0299 03/10 17:00:06 - mmengine - INFO - Epoch(train) [30][3600/5005] lr: 1.0000e-01 eta: 17:14:33 time: 0.1690 data_time: 0.0020 loss: 2.1065 03/10 17:00:23 - mmengine - INFO - Epoch(train) [30][3700/5005] lr: 1.0000e-01 eta: 17:14:15 time: 0.1692 data_time: 0.0018 loss: 2.1239 03/10 17:00:41 - mmengine - INFO - Epoch(train) [30][3800/5005] lr: 1.0000e-01 eta: 17:13:56 time: 0.1917 data_time: 0.0018 loss: 2.0794 03/10 17:00:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:00:58 - mmengine - INFO - Epoch(train) [30][3900/5005] lr: 1.0000e-01 eta: 17:13:38 time: 0.1711 data_time: 0.0020 loss: 2.2491 03/10 17:01:15 - mmengine - INFO - Epoch(train) [30][4000/5005] lr: 1.0000e-01 eta: 17:13:19 time: 0.1679 data_time: 0.0020 loss: 2.2124 03/10 17:01:32 - mmengine - INFO - Epoch(train) [30][4100/5005] lr: 1.0000e-01 eta: 17:12:59 time: 0.1716 data_time: 0.0021 loss: 2.2563 03/10 17:01:49 - mmengine - INFO - Epoch(train) [30][4200/5005] lr: 1.0000e-01 eta: 17:12:40 time: 0.1707 data_time: 0.0019 loss: 2.1468 03/10 17:02:07 - mmengine - INFO - Epoch(train) [30][4300/5005] lr: 1.0000e-01 eta: 17:12:22 time: 0.1709 data_time: 0.0019 loss: 2.1046 03/10 17:02:24 - mmengine - INFO - Epoch(train) [30][4400/5005] lr: 1.0000e-01 eta: 17:12:04 time: 0.1692 data_time: 0.0020 loss: 2.2653 03/10 17:02:41 - mmengine - INFO - Epoch(train) [30][4500/5005] lr: 1.0000e-01 eta: 17:11:45 time: 0.1674 data_time: 0.0019 loss: 2.2670 03/10 17:02:58 - mmengine - INFO - Epoch(train) [30][4600/5005] lr: 1.0000e-01 eta: 17:11:26 time: 0.1704 data_time: 0.0019 loss: 2.2141 03/10 17:03:15 - mmengine - INFO - Epoch(train) [30][4700/5005] lr: 1.0000e-01 eta: 17:11:07 time: 0.1716 data_time: 0.0020 loss: 2.2321 03/10 17:03:32 - mmengine - INFO - Epoch(train) [30][4800/5005] lr: 1.0000e-01 eta: 17:10:48 time: 0.1641 data_time: 0.0017 loss: 2.1863 03/10 17:03:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:03:49 - mmengine - INFO - Epoch(train) [30][4900/5005] lr: 1.0000e-01 eta: 17:10:28 time: 0.1667 data_time: 0.0019 loss: 2.4954 03/10 17:04:06 - mmengine - INFO - Epoch(train) [30][5000/5005] lr: 1.0000e-01 eta: 17:10:08 time: 0.1688 data_time: 0.0019 loss: 2.2575 03/10 17:04:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:04:12 - mmengine - INFO - Saving checkpoint at 30 epochs 03/10 17:04:30 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:00:16 time: 0.0166 data_time: 0.0003 03/10 17:04:46 - mmengine - INFO - Epoch(val) [30][196/196] accuracy/top1: 53.8180 accuracy/top5: 79.2980 03/10 17:05:21 - mmengine - INFO - Epoch(train) [31][ 100/5005] lr: 1.0000e-02 eta: 17:10:30 time: 0.1698 data_time: 0.0025 loss: 1.7748 03/10 17:05:38 - mmengine - INFO - Epoch(train) [31][ 200/5005] lr: 1.0000e-02 eta: 17:10:11 time: 0.1694 data_time: 0.0029 loss: 1.9955 03/10 17:05:56 - mmengine - INFO - Epoch(train) [31][ 300/5005] lr: 1.0000e-02 eta: 17:09:53 time: 0.1715 data_time: 0.0019 loss: 1.5804 03/10 17:06:13 - mmengine - INFO - Epoch(train) [31][ 400/5005] lr: 1.0000e-02 eta: 17:09:35 time: 0.1708 data_time: 0.0021 loss: 1.7793 03/10 17:06:31 - mmengine - INFO - Epoch(train) [31][ 500/5005] lr: 1.0000e-02 eta: 17:09:17 time: 0.1710 data_time: 0.0021 loss: 1.5428 03/10 17:06:48 - mmengine - INFO - Epoch(train) [31][ 600/5005] lr: 1.0000e-02 eta: 17:08:58 time: 0.1687 data_time: 0.0023 loss: 1.5818 03/10 17:07:05 - mmengine - INFO - Epoch(train) [31][ 700/5005] lr: 1.0000e-02 eta: 17:08:39 time: 0.1708 data_time: 0.0019 loss: 1.9324 03/10 17:07:22 - mmengine - INFO - Epoch(train) [31][ 800/5005] lr: 1.0000e-02 eta: 17:08:20 time: 0.1696 data_time: 0.0020 loss: 1.9781 03/10 17:07:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:07:40 - mmengine - INFO - Epoch(train) [31][ 900/5005] lr: 1.0000e-02 eta: 17:08:04 time: 0.1697 data_time: 0.0019 loss: 1.7116 03/10 17:07:58 - mmengine - INFO - Epoch(train) [31][1000/5005] lr: 1.0000e-02 eta: 17:07:45 time: 0.1883 data_time: 0.0020 loss: 1.7282 03/10 17:08:15 - mmengine - INFO - Epoch(train) [31][1100/5005] lr: 1.0000e-02 eta: 17:07:26 time: 0.1689 data_time: 0.0022 loss: 1.5603 03/10 17:08:32 - mmengine - INFO - Epoch(train) [31][1200/5005] lr: 1.0000e-02 eta: 17:07:08 time: 0.1708 data_time: 0.0020 loss: 1.5154 03/10 17:08:50 - mmengine - INFO - Epoch(train) [31][1300/5005] lr: 1.0000e-02 eta: 17:06:49 time: 0.1694 data_time: 0.0020 loss: 1.7023 03/10 17:09:07 - mmengine - INFO - Epoch(train) [31][1400/5005] lr: 1.0000e-02 eta: 17:06:30 time: 0.1716 data_time: 0.0020 loss: 1.6651 03/10 17:09:24 - mmengine - INFO - Epoch(train) [31][1500/5005] lr: 1.0000e-02 eta: 17:06:12 time: 0.1728 data_time: 0.0020 loss: 1.6916 03/10 17:09:41 - mmengine - INFO - Epoch(train) [31][1600/5005] lr: 1.0000e-02 eta: 17:05:53 time: 0.1682 data_time: 0.0022 loss: 1.7590 03/10 17:09:59 - mmengine - INFO - Epoch(train) [31][1700/5005] lr: 1.0000e-02 eta: 17:05:35 time: 0.1693 data_time: 0.0019 loss: 1.6787 03/10 17:10:16 - mmengine - INFO - Epoch(train) [31][1800/5005] lr: 1.0000e-02 eta: 17:05:15 time: 0.1672 data_time: 0.0020 loss: 1.5693 03/10 17:10:24 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:10:33 - mmengine - INFO - Epoch(train) [31][1900/5005] lr: 1.0000e-02 eta: 17:04:57 time: 0.1867 data_time: 0.0019 loss: 1.7794 03/10 17:10:50 - mmengine - INFO - Epoch(train) [31][2000/5005] lr: 1.0000e-02 eta: 17:04:38 time: 0.1858 data_time: 0.0019 loss: 1.6501 03/10 17:11:08 - mmengine - INFO - Epoch(train) [31][2100/5005] lr: 1.0000e-02 eta: 17:04:19 time: 0.1683 data_time: 0.0020 loss: 1.3406 03/10 17:11:25 - mmengine - INFO - Epoch(train) [31][2200/5005] lr: 1.0000e-02 eta: 17:04:01 time: 0.1695 data_time: 0.0019 loss: 1.7629 03/10 17:11:42 - mmengine - INFO - Epoch(train) [31][2300/5005] lr: 1.0000e-02 eta: 17:03:42 time: 0.1701 data_time: 0.0021 loss: 1.3611 03/10 17:11:59 - mmengine - INFO - Epoch(train) [31][2400/5005] lr: 1.0000e-02 eta: 17:03:23 time: 0.1705 data_time: 0.0021 loss: 1.3707 03/10 17:12:17 - mmengine - INFO - Epoch(train) [31][2500/5005] lr: 1.0000e-02 eta: 17:03:04 time: 0.1694 data_time: 0.0022 loss: 1.7369 03/10 17:12:34 - mmengine - INFO - Epoch(train) [31][2600/5005] lr: 1.0000e-02 eta: 17:02:45 time: 0.1706 data_time: 0.0022 loss: 1.5742 03/10 17:12:51 - mmengine - INFO - Epoch(train) [31][2700/5005] lr: 1.0000e-02 eta: 17:02:27 time: 0.1845 data_time: 0.0021 loss: 1.5892 03/10 17:13:08 - mmengine - INFO - Epoch(train) [31][2800/5005] lr: 1.0000e-02 eta: 17:02:09 time: 0.1711 data_time: 0.0027 loss: 1.6158 03/10 17:13:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:13:26 - mmengine - INFO - Epoch(train) [31][2900/5005] lr: 1.0000e-02 eta: 17:01:50 time: 0.1686 data_time: 0.0022 loss: 1.7454 03/10 17:13:43 - mmengine - INFO - Epoch(train) [31][3000/5005] lr: 1.0000e-02 eta: 17:01:31 time: 0.1927 data_time: 0.0021 loss: 1.4430 03/10 17:14:00 - mmengine - INFO - Epoch(train) [31][3100/5005] lr: 1.0000e-02 eta: 17:01:12 time: 0.1681 data_time: 0.0021 loss: 1.7443 03/10 17:14:17 - mmengine - INFO - Epoch(train) [31][3200/5005] lr: 1.0000e-02 eta: 17:00:54 time: 0.1867 data_time: 0.0023 loss: 1.5081 03/10 17:14:34 - mmengine - INFO - Epoch(train) [31][3300/5005] lr: 1.0000e-02 eta: 17:00:35 time: 0.1681 data_time: 0.0021 loss: 1.5991 03/10 17:14:52 - mmengine - INFO - Epoch(train) [31][3400/5005] lr: 1.0000e-02 eta: 17:00:16 time: 0.1684 data_time: 0.0021 loss: 1.6254 03/10 17:15:09 - mmengine - INFO - Epoch(train) [31][3500/5005] lr: 1.0000e-02 eta: 16:59:57 time: 0.1729 data_time: 0.0021 loss: 1.6229 03/10 17:15:26 - mmengine - INFO - Epoch(train) [31][3600/5005] lr: 1.0000e-02 eta: 16:59:38 time: 0.1675 data_time: 0.0020 loss: 1.6085 03/10 17:15:43 - mmengine - INFO - Epoch(train) [31][3700/5005] lr: 1.0000e-02 eta: 16:59:19 time: 0.1687 data_time: 0.0020 loss: 1.4836 03/10 17:16:00 - mmengine - INFO - Epoch(train) [31][3800/5005] lr: 1.0000e-02 eta: 16:59:01 time: 0.1694 data_time: 0.0022 loss: 1.4669 03/10 17:16:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:16:18 - mmengine - INFO - Epoch(train) [31][3900/5005] lr: 1.0000e-02 eta: 16:58:42 time: 0.1844 data_time: 0.0020 loss: 1.5395 03/10 17:16:35 - mmengine - INFO - Epoch(train) [31][4000/5005] lr: 1.0000e-02 eta: 16:58:23 time: 0.1670 data_time: 0.0019 loss: 1.6458 03/10 17:16:52 - mmengine - INFO - Epoch(train) [31][4100/5005] lr: 1.0000e-02 eta: 16:58:05 time: 0.1721 data_time: 0.0018 loss: 1.7886 03/10 17:17:09 - mmengine - INFO - Epoch(train) [31][4200/5005] lr: 1.0000e-02 eta: 16:57:46 time: 0.1669 data_time: 0.0020 loss: 1.5491 03/10 17:17:26 - mmengine - INFO - Epoch(train) [31][4300/5005] lr: 1.0000e-02 eta: 16:57:26 time: 0.1688 data_time: 0.0020 loss: 1.6536 03/10 17:17:43 - mmengine - INFO - Epoch(train) [31][4400/5005] lr: 1.0000e-02 eta: 16:57:07 time: 0.1698 data_time: 0.0018 loss: 1.6516 03/10 17:18:01 - mmengine - INFO - Epoch(train) [31][4500/5005] lr: 1.0000e-02 eta: 16:56:50 time: 0.1868 data_time: 0.0019 loss: 1.7636 03/10 17:18:18 - mmengine - INFO - Epoch(train) [31][4600/5005] lr: 1.0000e-02 eta: 16:56:31 time: 0.1715 data_time: 0.0018 loss: 1.6649 03/10 17:18:35 - mmengine - INFO - Epoch(train) [31][4700/5005] lr: 1.0000e-02 eta: 16:56:12 time: 0.1677 data_time: 0.0018 loss: 1.6222 03/10 17:18:53 - mmengine - INFO - Epoch(train) [31][4800/5005] lr: 1.0000e-02 eta: 16:55:53 time: 0.1663 data_time: 0.0017 loss: 1.4624 03/10 17:19:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:19:09 - mmengine - INFO - Epoch(train) [31][4900/5005] lr: 1.0000e-02 eta: 16:55:33 time: 0.1667 data_time: 0.0017 loss: 1.6466 03/10 17:19:26 - mmengine - INFO - Epoch(train) [31][5000/5005] lr: 1.0000e-02 eta: 16:55:13 time: 0.1656 data_time: 0.0021 loss: 1.7084 03/10 17:19:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:19:32 - mmengine - INFO - Saving checkpoint at 31 epochs 03/10 17:19:52 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:00:18 time: 0.0166 data_time: 0.0004 03/10 17:20:07 - mmengine - INFO - Epoch(val) [31][196/196] accuracy/top1: 69.2520 accuracy/top5: 89.3080 03/10 17:20:44 - mmengine - INFO - Epoch(train) [32][ 100/5005] lr: 1.0000e-02 eta: 16:55:37 time: 0.1713 data_time: 0.0022 loss: 1.5904 03/10 17:21:01 - mmengine - INFO - Epoch(train) [32][ 200/5005] lr: 1.0000e-02 eta: 16:55:18 time: 0.1845 data_time: 0.0019 loss: 1.3877 03/10 17:21:18 - mmengine - INFO - Epoch(train) [32][ 300/5005] lr: 1.0000e-02 eta: 16:54:59 time: 0.1695 data_time: 0.0021 loss: 1.5576 03/10 17:21:36 - mmengine - INFO - Epoch(train) [32][ 400/5005] lr: 1.0000e-02 eta: 16:54:42 time: 0.1684 data_time: 0.0020 loss: 1.3864 03/10 17:21:53 - mmengine - INFO - Epoch(train) [32][ 500/5005] lr: 1.0000e-02 eta: 16:54:23 time: 0.1711 data_time: 0.0019 loss: 1.5619 03/10 17:22:11 - mmengine - INFO - Epoch(train) [32][ 600/5005] lr: 1.0000e-02 eta: 16:54:06 time: 0.2157 data_time: 0.0019 loss: 1.4533 03/10 17:22:29 - mmengine - INFO - Epoch(train) [32][ 700/5005] lr: 1.0000e-02 eta: 16:53:48 time: 0.1677 data_time: 0.0019 loss: 1.3619 03/10 17:22:46 - mmengine - INFO - Epoch(train) [32][ 800/5005] lr: 1.0000e-02 eta: 16:53:29 time: 0.1689 data_time: 0.0019 loss: 1.6245 03/10 17:22:54 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:23:03 - mmengine - INFO - Epoch(train) [32][ 900/5005] lr: 1.0000e-02 eta: 16:53:10 time: 0.1687 data_time: 0.0019 loss: 1.4295 03/10 17:23:21 - mmengine - INFO - Epoch(train) [32][1000/5005] lr: 1.0000e-02 eta: 16:52:52 time: 0.1680 data_time: 0.0021 loss: 1.3814 03/10 17:23:38 - mmengine - INFO - Epoch(train) [32][1100/5005] lr: 1.0000e-02 eta: 16:52:33 time: 0.1707 data_time: 0.0020 loss: 1.5546 03/10 17:23:56 - mmengine - INFO - Epoch(train) [32][1200/5005] lr: 1.0000e-02 eta: 16:52:16 time: 0.1908 data_time: 0.0021 loss: 1.5094 03/10 17:24:13 - mmengine - INFO - Epoch(train) [32][1300/5005] lr: 1.0000e-02 eta: 16:51:57 time: 0.1731 data_time: 0.0019 loss: 1.4567 03/10 17:24:30 - mmengine - INFO - Epoch(train) [32][1400/5005] lr: 1.0000e-02 eta: 16:51:39 time: 0.1691 data_time: 0.0020 loss: 1.2782 03/10 17:24:48 - mmengine - INFO - Epoch(train) [32][1500/5005] lr: 1.0000e-02 eta: 16:51:22 time: 0.1713 data_time: 0.0021 loss: 1.3962 03/10 17:25:05 - mmengine - INFO - Epoch(train) [32][1600/5005] lr: 1.0000e-02 eta: 16:51:03 time: 0.1890 data_time: 0.0017 loss: 1.3486 03/10 17:25:22 - mmengine - INFO - Epoch(train) [32][1700/5005] lr: 1.0000e-02 eta: 16:50:44 time: 0.1707 data_time: 0.0020 loss: 1.7698 03/10 17:25:40 - mmengine - INFO - Epoch(train) [32][1800/5005] lr: 1.0000e-02 eta: 16:50:25 time: 0.1691 data_time: 0.0019 loss: 1.4009 03/10 17:25:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:25:57 - mmengine - INFO - Epoch(train) [32][1900/5005] lr: 1.0000e-02 eta: 16:50:07 time: 0.1698 data_time: 0.0020 loss: 1.2930 03/10 17:26:15 - mmengine - INFO - Epoch(train) [32][2000/5005] lr: 1.0000e-02 eta: 16:49:49 time: 0.1704 data_time: 0.0018 loss: 1.5746 03/10 17:26:32 - mmengine - INFO - Epoch(train) [32][2100/5005] lr: 1.0000e-02 eta: 16:49:30 time: 0.1698 data_time: 0.0018 loss: 1.7535 03/10 17:26:49 - mmengine - INFO - Epoch(train) [32][2200/5005] lr: 1.0000e-02 eta: 16:49:11 time: 0.1886 data_time: 0.0020 loss: 1.5288 03/10 17:27:06 - mmengine - INFO - Epoch(train) [32][2300/5005] lr: 1.0000e-02 eta: 16:48:53 time: 0.1908 data_time: 0.0022 loss: 1.5436 03/10 17:27:24 - mmengine - INFO - Epoch(train) [32][2400/5005] lr: 1.0000e-02 eta: 16:48:34 time: 0.1693 data_time: 0.0019 loss: 1.2799 03/10 17:27:41 - mmengine - INFO - Epoch(train) [32][2500/5005] lr: 1.0000e-02 eta: 16:48:16 time: 0.2061 data_time: 0.0021 loss: 1.2512 03/10 17:27:58 - mmengine - INFO - Epoch(train) [32][2600/5005] lr: 1.0000e-02 eta: 16:47:57 time: 0.1685 data_time: 0.0022 loss: 1.4830 03/10 17:28:15 - mmengine - INFO - Epoch(train) [32][2700/5005] lr: 1.0000e-02 eta: 16:47:38 time: 0.1664 data_time: 0.0019 loss: 1.7263 03/10 17:28:32 - mmengine - INFO - Epoch(train) [32][2800/5005] lr: 1.0000e-02 eta: 16:47:19 time: 0.1713 data_time: 0.0019 loss: 1.3999 03/10 17:28:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:28:50 - mmengine - INFO - Epoch(train) [32][2900/5005] lr: 1.0000e-02 eta: 16:47:01 time: 0.1680 data_time: 0.0022 loss: 1.4495 03/10 17:29:07 - mmengine - INFO - Epoch(train) [32][3000/5005] lr: 1.0000e-02 eta: 16:46:42 time: 0.1698 data_time: 0.0021 loss: 1.4775 03/10 17:29:25 - mmengine - INFO - Epoch(train) [32][3100/5005] lr: 1.0000e-02 eta: 16:46:24 time: 0.1688 data_time: 0.0019 loss: 1.5327 03/10 17:29:42 - mmengine - INFO - Epoch(train) [32][3200/5005] lr: 1.0000e-02 eta: 16:46:05 time: 0.1725 data_time: 0.0021 loss: 1.4057 03/10 17:29:59 - mmengine - INFO - Epoch(train) [32][3300/5005] lr: 1.0000e-02 eta: 16:45:46 time: 0.1683 data_time: 0.0020 loss: 1.5736 03/10 17:30:16 - mmengine - INFO - Epoch(train) [32][3400/5005] lr: 1.0000e-02 eta: 16:45:27 time: 0.1674 data_time: 0.0021 loss: 1.4814 03/10 17:30:34 - mmengine - INFO - Epoch(train) [32][3500/5005] lr: 1.0000e-02 eta: 16:45:10 time: 0.1851 data_time: 0.0021 loss: 1.6843 03/10 17:30:51 - mmengine - INFO - Epoch(train) [32][3600/5005] lr: 1.0000e-02 eta: 16:44:51 time: 0.1697 data_time: 0.0021 loss: 1.4070 03/10 17:31:08 - mmengine - INFO - Epoch(train) [32][3700/5005] lr: 1.0000e-02 eta: 16:44:32 time: 0.1687 data_time: 0.0020 loss: 1.4388 03/10 17:31:25 - mmengine - INFO - Epoch(train) [32][3800/5005] lr: 1.0000e-02 eta: 16:44:13 time: 0.1693 data_time: 0.0021 loss: 1.5513 03/10 17:31:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:31:43 - mmengine - INFO - Epoch(train) [32][3900/5005] lr: 1.0000e-02 eta: 16:43:55 time: 0.1691 data_time: 0.0022 loss: 1.7095 03/10 17:32:00 - mmengine - INFO - Epoch(train) [32][4000/5005] lr: 1.0000e-02 eta: 16:43:36 time: 0.1674 data_time: 0.0020 loss: 1.4609 03/10 17:32:17 - mmengine - INFO - Epoch(train) [32][4100/5005] lr: 1.0000e-02 eta: 16:43:18 time: 0.1708 data_time: 0.0019 loss: 1.7005 03/10 17:32:34 - mmengine - INFO - Epoch(train) [32][4200/5005] lr: 1.0000e-02 eta: 16:42:59 time: 0.1678 data_time: 0.0019 loss: 1.5081 03/10 17:32:52 - mmengine - INFO - Epoch(train) [32][4300/5005] lr: 1.0000e-02 eta: 16:42:41 time: 0.1688 data_time: 0.0019 loss: 1.4562 03/10 17:33:09 - mmengine - INFO - Epoch(train) [32][4400/5005] lr: 1.0000e-02 eta: 16:42:21 time: 0.1697 data_time: 0.0020 loss: 1.5253 03/10 17:33:26 - mmengine - INFO - Epoch(train) [32][4500/5005] lr: 1.0000e-02 eta: 16:42:03 time: 0.1688 data_time: 0.0021 loss: 1.3820 03/10 17:33:44 - mmengine - INFO - Epoch(train) [32][4600/5005] lr: 1.0000e-02 eta: 16:41:45 time: 0.1698 data_time: 0.0021 loss: 1.2958 03/10 17:34:01 - mmengine - INFO - Epoch(train) [32][4700/5005] lr: 1.0000e-02 eta: 16:41:26 time: 0.1687 data_time: 0.0020 loss: 1.4411 03/10 17:34:18 - mmengine - INFO - Epoch(train) [32][4800/5005] lr: 1.0000e-02 eta: 16:41:07 time: 0.1673 data_time: 0.0020 loss: 1.4319 03/10 17:34:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:34:34 - mmengine - INFO - Epoch(train) [32][4900/5005] lr: 1.0000e-02 eta: 16:40:47 time: 0.1667 data_time: 0.0020 loss: 1.7146 03/10 17:34:51 - mmengine - INFO - Epoch(train) [32][5000/5005] lr: 1.0000e-02 eta: 16:40:28 time: 0.1663 data_time: 0.0018 loss: 1.5912 03/10 17:34:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:34:56 - mmengine - INFO - Saving checkpoint at 32 epochs 03/10 17:35:16 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:00:17 time: 0.0161 data_time: 0.0003 03/10 17:35:31 - mmengine - INFO - Epoch(val) [32][196/196] accuracy/top1: 70.2660 accuracy/top5: 89.8460 03/10 17:36:07 - mmengine - INFO - Epoch(train) [33][ 100/5005] lr: 1.0000e-02 eta: 16:40:48 time: 0.1856 data_time: 0.0025 loss: 1.5627 03/10 17:36:24 - mmengine - INFO - Epoch(train) [33][ 200/5005] lr: 1.0000e-02 eta: 16:40:29 time: 0.1685 data_time: 0.0020 loss: 1.3542 03/10 17:36:42 - mmengine - INFO - Epoch(train) [33][ 300/5005] lr: 1.0000e-02 eta: 16:40:12 time: 0.1722 data_time: 0.0021 loss: 1.4745 03/10 17:37:00 - mmengine - INFO - Epoch(train) [33][ 400/5005] lr: 1.0000e-02 eta: 16:39:54 time: 0.2212 data_time: 0.0020 loss: 1.6066 03/10 17:37:17 - mmengine - INFO - Epoch(train) [33][ 500/5005] lr: 1.0000e-02 eta: 16:39:35 time: 0.1730 data_time: 0.0023 loss: 1.4150 03/10 17:37:35 - mmengine - INFO - Epoch(train) [33][ 600/5005] lr: 1.0000e-02 eta: 16:39:17 time: 0.1971 data_time: 0.0019 loss: 1.5836 03/10 17:37:52 - mmengine - INFO - Epoch(train) [33][ 700/5005] lr: 1.0000e-02 eta: 16:38:59 time: 0.1699 data_time: 0.0020 loss: 1.5418 03/10 17:38:09 - mmengine - INFO - Epoch(train) [33][ 800/5005] lr: 1.0000e-02 eta: 16:38:41 time: 0.1701 data_time: 0.0020 loss: 1.5282 03/10 17:38:16 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:38:27 - mmengine - INFO - Epoch(train) [33][ 900/5005] lr: 1.0000e-02 eta: 16:38:22 time: 0.1698 data_time: 0.0021 loss: 1.3359 03/10 17:38:44 - mmengine - INFO - Epoch(train) [33][1000/5005] lr: 1.0000e-02 eta: 16:38:04 time: 0.1720 data_time: 0.0020 loss: 1.3646 03/10 17:39:01 - mmengine - INFO - Epoch(train) [33][1100/5005] lr: 1.0000e-02 eta: 16:37:45 time: 0.1714 data_time: 0.0020 loss: 1.6529 03/10 17:39:19 - mmengine - INFO - Epoch(train) [33][1200/5005] lr: 1.0000e-02 eta: 16:37:27 time: 0.1706 data_time: 0.0018 loss: 1.7224 03/10 17:39:36 - mmengine - INFO - Epoch(train) [33][1300/5005] lr: 1.0000e-02 eta: 16:37:09 time: 0.1727 data_time: 0.0019 loss: 1.5053 03/10 17:39:54 - mmengine - INFO - Epoch(train) [33][1400/5005] lr: 1.0000e-02 eta: 16:36:50 time: 0.1674 data_time: 0.0017 loss: 1.3401 03/10 17:40:11 - mmengine - INFO - Epoch(train) [33][1500/5005] lr: 1.0000e-02 eta: 16:36:32 time: 0.1697 data_time: 0.0018 loss: 1.5107 03/10 17:40:28 - mmengine - INFO - Epoch(train) [33][1600/5005] lr: 1.0000e-02 eta: 16:36:13 time: 0.1671 data_time: 0.0020 loss: 1.3689 03/10 17:40:45 - mmengine - INFO - Epoch(train) [33][1700/5005] lr: 1.0000e-02 eta: 16:35:54 time: 0.1703 data_time: 0.0019 loss: 1.5124 03/10 17:41:02 - mmengine - INFO - Epoch(train) [33][1800/5005] lr: 1.0000e-02 eta: 16:35:36 time: 0.1682 data_time: 0.0019 loss: 1.6127 03/10 17:41:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:41:20 - mmengine - INFO - Epoch(train) [33][1900/5005] lr: 1.0000e-02 eta: 16:35:17 time: 0.1926 data_time: 0.0019 loss: 1.4572 03/10 17:41:37 - mmengine - INFO - Epoch(train) [33][2000/5005] lr: 1.0000e-02 eta: 16:34:59 time: 0.1704 data_time: 0.0019 loss: 1.7195 03/10 17:41:54 - mmengine - INFO - Epoch(train) [33][2100/5005] lr: 1.0000e-02 eta: 16:34:40 time: 0.1699 data_time: 0.0021 loss: 1.4102 03/10 17:42:11 - mmengine - INFO - Epoch(train) [33][2200/5005] lr: 1.0000e-02 eta: 16:34:21 time: 0.1695 data_time: 0.0020 loss: 1.4116 03/10 17:42:28 - mmengine - INFO - Epoch(train) [33][2300/5005] lr: 1.0000e-02 eta: 16:34:02 time: 0.1843 data_time: 0.0019 loss: 1.3277 03/10 17:42:46 - mmengine - INFO - Epoch(train) [33][2400/5005] lr: 1.0000e-02 eta: 16:33:44 time: 0.1706 data_time: 0.0021 loss: 1.4243 03/10 17:43:03 - mmengine - INFO - Epoch(train) [33][2500/5005] lr: 1.0000e-02 eta: 16:33:25 time: 0.1689 data_time: 0.0019 loss: 1.3305 03/10 17:43:20 - mmengine - INFO - Epoch(train) [33][2600/5005] lr: 1.0000e-02 eta: 16:33:07 time: 0.1691 data_time: 0.0020 loss: 1.4291 03/10 17:43:37 - mmengine - INFO - Epoch(train) [33][2700/5005] lr: 1.0000e-02 eta: 16:32:48 time: 0.1676 data_time: 0.0019 loss: 1.3124 03/10 17:43:55 - mmengine - INFO - Epoch(train) [33][2800/5005] lr: 1.0000e-02 eta: 16:32:29 time: 0.1698 data_time: 0.0019 loss: 1.6057 03/10 17:44:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:44:11 - mmengine - INFO - Epoch(train) [33][2900/5005] lr: 1.0000e-02 eta: 16:32:10 time: 0.1680 data_time: 0.0018 loss: 1.5413 03/10 17:44:29 - mmengine - INFO - Epoch(train) [33][3000/5005] lr: 1.0000e-02 eta: 16:31:52 time: 0.1679 data_time: 0.0019 loss: 1.4575 03/10 17:44:46 - mmengine - INFO - Epoch(train) [33][3100/5005] lr: 1.0000e-02 eta: 16:31:33 time: 0.1659 data_time: 0.0019 loss: 1.5440 03/10 17:45:03 - mmengine - INFO - Epoch(train) [33][3200/5005] lr: 1.0000e-02 eta: 16:31:14 time: 0.1684 data_time: 0.0019 loss: 1.3375 03/10 17:45:20 - mmengine - INFO - Epoch(train) [33][3300/5005] lr: 1.0000e-02 eta: 16:30:55 time: 0.1673 data_time: 0.0021 loss: 1.5655 03/10 17:45:38 - mmengine - INFO - Epoch(train) [33][3400/5005] lr: 1.0000e-02 eta: 16:30:36 time: 0.1680 data_time: 0.0019 loss: 1.5708 03/10 17:45:54 - mmengine - INFO - Epoch(train) [33][3500/5005] lr: 1.0000e-02 eta: 16:30:17 time: 0.1677 data_time: 0.0019 loss: 1.4920 03/10 17:46:12 - mmengine - INFO - Epoch(train) [33][3600/5005] lr: 1.0000e-02 eta: 16:29:59 time: 0.1673 data_time: 0.0020 loss: 1.3656 03/10 17:46:29 - mmengine - INFO - Epoch(train) [33][3700/5005] lr: 1.0000e-02 eta: 16:29:41 time: 0.1681 data_time: 0.0019 loss: 1.3225 03/10 17:46:46 - mmengine - INFO - Epoch(train) [33][3800/5005] lr: 1.0000e-02 eta: 16:29:22 time: 0.1684 data_time: 0.0019 loss: 1.2849 03/10 17:46:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:47:03 - mmengine - INFO - Epoch(train) [33][3900/5005] lr: 1.0000e-02 eta: 16:29:03 time: 0.1708 data_time: 0.0021 loss: 1.3949 03/10 17:47:21 - mmengine - INFO - Epoch(train) [33][4000/5005] lr: 1.0000e-02 eta: 16:28:44 time: 0.1720 data_time: 0.0019 loss: 1.5586 03/10 17:47:38 - mmengine - INFO - Epoch(train) [33][4100/5005] lr: 1.0000e-02 eta: 16:28:25 time: 0.1662 data_time: 0.0022 loss: 1.3825 03/10 17:47:55 - mmengine - INFO - Epoch(train) [33][4200/5005] lr: 1.0000e-02 eta: 16:28:07 time: 0.1697 data_time: 0.0021 loss: 1.3669 03/10 17:48:13 - mmengine - INFO - Epoch(train) [33][4300/5005] lr: 1.0000e-02 eta: 16:27:49 time: 0.1718 data_time: 0.0018 loss: 1.6028 03/10 17:48:30 - mmengine - INFO - Epoch(train) [33][4400/5005] lr: 1.0000e-02 eta: 16:27:30 time: 0.1700 data_time: 0.0019 loss: 1.3030 03/10 17:48:47 - mmengine - INFO - Epoch(train) [33][4500/5005] lr: 1.0000e-02 eta: 16:27:11 time: 0.1680 data_time: 0.0020 loss: 1.6052 03/10 17:49:04 - mmengine - INFO - Epoch(train) [33][4600/5005] lr: 1.0000e-02 eta: 16:26:52 time: 0.1687 data_time: 0.0020 loss: 1.6238 03/10 17:49:21 - mmengine - INFO - Epoch(train) [33][4700/5005] lr: 1.0000e-02 eta: 16:26:34 time: 0.1735 data_time: 0.0019 loss: 1.5054 03/10 17:49:38 - mmengine - INFO - Epoch(train) [33][4800/5005] lr: 1.0000e-02 eta: 16:26:15 time: 0.1678 data_time: 0.0019 loss: 1.5380 03/10 17:49:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:49:55 - mmengine - INFO - Epoch(train) [33][4900/5005] lr: 1.0000e-02 eta: 16:25:56 time: 0.1653 data_time: 0.0017 loss: 1.3288 03/10 17:50:12 - mmengine - INFO - Epoch(train) [33][5000/5005] lr: 1.0000e-02 eta: 16:25:36 time: 0.1651 data_time: 0.0019 loss: 1.3741 03/10 17:50:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:50:17 - mmengine - INFO - Saving checkpoint at 33 epochs 03/10 17:50:37 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:00:17 time: 0.0183 data_time: 0.0004 03/10 17:50:51 - mmengine - INFO - Epoch(val) [33][196/196] accuracy/top1: 70.9880 accuracy/top5: 90.2180 03/10 17:51:28 - mmengine - INFO - Epoch(train) [34][ 100/5005] lr: 1.0000e-02 eta: 16:25:55 time: 0.1682 data_time: 0.0024 loss: 1.4637 03/10 17:51:45 - mmengine - INFO - Epoch(train) [34][ 200/5005] lr: 1.0000e-02 eta: 16:25:36 time: 0.1742 data_time: 0.0017 loss: 1.5332 03/10 17:52:02 - mmengine - INFO - Epoch(train) [34][ 300/5005] lr: 1.0000e-02 eta: 16:25:17 time: 0.1660 data_time: 0.0019 loss: 1.3504 03/10 17:52:20 - mmengine - INFO - Epoch(train) [34][ 400/5005] lr: 1.0000e-02 eta: 16:25:00 time: 0.1880 data_time: 0.0021 loss: 1.3702 03/10 17:52:37 - mmengine - INFO - Epoch(train) [34][ 500/5005] lr: 1.0000e-02 eta: 16:24:41 time: 0.1697 data_time: 0.0020 loss: 1.4470 03/10 17:52:54 - mmengine - INFO - Epoch(train) [34][ 600/5005] lr: 1.0000e-02 eta: 16:24:22 time: 0.1762 data_time: 0.0022 loss: 1.3237 03/10 17:53:12 - mmengine - INFO - Epoch(train) [34][ 700/5005] lr: 1.0000e-02 eta: 16:24:04 time: 0.1709 data_time: 0.0020 loss: 1.3824 03/10 17:53:29 - mmengine - INFO - Epoch(train) [34][ 800/5005] lr: 1.0000e-02 eta: 16:23:46 time: 0.1680 data_time: 0.0021 loss: 1.4497 03/10 17:53:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:53:46 - mmengine - INFO - Epoch(train) [34][ 900/5005] lr: 1.0000e-02 eta: 16:23:27 time: 0.1689 data_time: 0.0020 loss: 1.4385 03/10 17:54:04 - mmengine - INFO - Epoch(train) [34][1000/5005] lr: 1.0000e-02 eta: 16:23:10 time: 0.1719 data_time: 0.0021 loss: 1.3052 03/10 17:54:21 - mmengine - INFO - Epoch(train) [34][1100/5005] lr: 1.0000e-02 eta: 16:22:51 time: 0.1697 data_time: 0.0021 loss: 1.4299 03/10 17:54:38 - mmengine - INFO - Epoch(train) [34][1200/5005] lr: 1.0000e-02 eta: 16:22:32 time: 0.1682 data_time: 0.0020 loss: 1.4469 03/10 17:54:55 - mmengine - INFO - Epoch(train) [34][1300/5005] lr: 1.0000e-02 eta: 16:22:13 time: 0.1667 data_time: 0.0019 loss: 1.4228 03/10 17:55:13 - mmengine - INFO - Epoch(train) [34][1400/5005] lr: 1.0000e-02 eta: 16:21:56 time: 0.1720 data_time: 0.0021 loss: 1.4160 03/10 17:55:31 - mmengine - INFO - Epoch(train) [34][1500/5005] lr: 1.0000e-02 eta: 16:21:38 time: 0.1914 data_time: 0.0020 loss: 1.3376 03/10 17:55:48 - mmengine - INFO - Epoch(train) [34][1600/5005] lr: 1.0000e-02 eta: 16:21:20 time: 0.1855 data_time: 0.0020 loss: 1.3505 03/10 17:56:05 - mmengine - INFO - Epoch(train) [34][1700/5005] lr: 1.0000e-02 eta: 16:21:01 time: 0.1685 data_time: 0.0020 loss: 1.5195 03/10 17:56:22 - mmengine - INFO - Epoch(train) [34][1800/5005] lr: 1.0000e-02 eta: 16:20:42 time: 0.1696 data_time: 0.0019 loss: 1.4955 03/10 17:56:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:56:40 - mmengine - INFO - Epoch(train) [34][1900/5005] lr: 1.0000e-02 eta: 16:20:23 time: 0.1703 data_time: 0.0019 loss: 1.5530 03/10 17:56:57 - mmengine - INFO - Epoch(train) [34][2000/5005] lr: 1.0000e-02 eta: 16:20:04 time: 0.1717 data_time: 0.0020 loss: 1.5030 03/10 17:57:14 - mmengine - INFO - Epoch(train) [34][2100/5005] lr: 1.0000e-02 eta: 16:19:47 time: 0.1679 data_time: 0.0019 loss: 1.5807 03/10 17:57:31 - mmengine - INFO - Epoch(train) [34][2200/5005] lr: 1.0000e-02 eta: 16:19:28 time: 0.1695 data_time: 0.0020 loss: 1.5216 03/10 17:57:49 - mmengine - INFO - Epoch(train) [34][2300/5005] lr: 1.0000e-02 eta: 16:19:09 time: 0.1696 data_time: 0.0021 loss: 1.4478 03/10 17:58:06 - mmengine - INFO - Epoch(train) [34][2400/5005] lr: 1.0000e-02 eta: 16:18:50 time: 0.1680 data_time: 0.0020 loss: 1.4422 03/10 17:58:23 - mmengine - INFO - Epoch(train) [34][2500/5005] lr: 1.0000e-02 eta: 16:18:32 time: 0.1675 data_time: 0.0023 loss: 1.3775 03/10 17:58:40 - mmengine - INFO - Epoch(train) [34][2600/5005] lr: 1.0000e-02 eta: 16:18:13 time: 0.1858 data_time: 0.0021 loss: 1.3690 03/10 17:58:58 - mmengine - INFO - Epoch(train) [34][2700/5005] lr: 1.0000e-02 eta: 16:17:55 time: 0.1685 data_time: 0.0019 loss: 1.4576 03/10 17:59:15 - mmengine - INFO - Epoch(train) [34][2800/5005] lr: 1.0000e-02 eta: 16:17:37 time: 0.1676 data_time: 0.0020 loss: 1.4024 03/10 17:59:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 17:59:32 - mmengine - INFO - Epoch(train) [34][2900/5005] lr: 1.0000e-02 eta: 16:17:18 time: 0.1716 data_time: 0.0019 loss: 1.3316 03/10 17:59:49 - mmengine - INFO - Epoch(train) [34][3000/5005] lr: 1.0000e-02 eta: 16:17:00 time: 0.1678 data_time: 0.0020 loss: 1.6293 03/10 18:00:06 - mmengine - INFO - Epoch(train) [34][3100/5005] lr: 1.0000e-02 eta: 16:16:41 time: 0.1728 data_time: 0.0019 loss: 1.5123 03/10 18:00:24 - mmengine - INFO - Epoch(train) [34][3200/5005] lr: 1.0000e-02 eta: 16:16:22 time: 0.1798 data_time: 0.0020 loss: 1.3528 03/10 18:00:41 - mmengine - INFO - Epoch(train) [34][3300/5005] lr: 1.0000e-02 eta: 16:16:04 time: 0.1687 data_time: 0.0019 loss: 1.6185 03/10 18:00:58 - mmengine - INFO - Epoch(train) [34][3400/5005] lr: 1.0000e-02 eta: 16:15:45 time: 0.1687 data_time: 0.0020 loss: 1.4193 03/10 18:01:16 - mmengine - INFO - Epoch(train) [34][3500/5005] lr: 1.0000e-02 eta: 16:15:27 time: 0.1717 data_time: 0.0021 loss: 1.4244 03/10 18:01:33 - mmengine - INFO - Epoch(train) [34][3600/5005] lr: 1.0000e-02 eta: 16:15:08 time: 0.1719 data_time: 0.0020 loss: 1.4794 03/10 18:01:50 - mmengine - INFO - Epoch(train) [34][3700/5005] lr: 1.0000e-02 eta: 16:14:49 time: 0.1683 data_time: 0.0019 loss: 1.2609 03/10 18:02:07 - mmengine - INFO - Epoch(train) [34][3800/5005] lr: 1.0000e-02 eta: 16:14:31 time: 0.1682 data_time: 0.0020 loss: 1.6740 03/10 18:02:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:02:25 - mmengine - INFO - Epoch(train) [34][3900/5005] lr: 1.0000e-02 eta: 16:14:13 time: 0.1703 data_time: 0.0022 loss: 1.4758 03/10 18:02:42 - mmengine - INFO - Epoch(train) [34][4000/5005] lr: 1.0000e-02 eta: 16:13:54 time: 0.1864 data_time: 0.0022 loss: 1.4338 03/10 18:02:59 - mmengine - INFO - Epoch(train) [34][4100/5005] lr: 1.0000e-02 eta: 16:13:35 time: 0.1690 data_time: 0.0020 loss: 1.2674 03/10 18:03:16 - mmengine - INFO - Epoch(train) [34][4200/5005] lr: 1.0000e-02 eta: 16:13:17 time: 0.1667 data_time: 0.0019 loss: 1.7439 03/10 18:03:34 - mmengine - INFO - Epoch(train) [34][4300/5005] lr: 1.0000e-02 eta: 16:12:59 time: 0.1698 data_time: 0.0021 loss: 1.4284 03/10 18:03:51 - mmengine - INFO - Epoch(train) [34][4400/5005] lr: 1.0000e-02 eta: 16:12:40 time: 0.1692 data_time: 0.0019 loss: 1.3588 03/10 18:04:08 - mmengine - INFO - Epoch(train) [34][4500/5005] lr: 1.0000e-02 eta: 16:12:22 time: 0.1893 data_time: 0.0019 loss: 1.3082 03/10 18:04:25 - mmengine - INFO - Epoch(train) [34][4600/5005] lr: 1.0000e-02 eta: 16:12:03 time: 0.1692 data_time: 0.0021 loss: 1.4409 03/10 18:04:42 - mmengine - INFO - Epoch(train) [34][4700/5005] lr: 1.0000e-02 eta: 16:11:44 time: 0.1688 data_time: 0.0021 loss: 1.3017 03/10 18:05:00 - mmengine - INFO - Epoch(train) [34][4800/5005] lr: 1.0000e-02 eta: 16:11:26 time: 0.1692 data_time: 0.0022 loss: 1.3862 03/10 18:05:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:05:17 - mmengine - INFO - Epoch(train) [34][4900/5005] lr: 1.0000e-02 eta: 16:11:07 time: 0.1685 data_time: 0.0017 loss: 1.3397 03/10 18:05:34 - mmengine - INFO - Epoch(train) [34][5000/5005] lr: 1.0000e-02 eta: 16:10:47 time: 0.1671 data_time: 0.0018 loss: 1.4652 03/10 18:05:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:05:39 - mmengine - INFO - Saving checkpoint at 34 epochs 03/10 18:05:59 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:00:17 time: 0.0169 data_time: 0.0003 03/10 18:06:13 - mmengine - INFO - Epoch(val) [34][196/196] accuracy/top1: 71.1500 accuracy/top5: 90.4240 03/10 18:06:50 - mmengine - INFO - Epoch(train) [35][ 100/5005] lr: 1.0000e-02 eta: 16:11:06 time: 0.1696 data_time: 0.0019 loss: 1.2793 03/10 18:07:07 - mmengine - INFO - Epoch(train) [35][ 200/5005] lr: 1.0000e-02 eta: 16:10:47 time: 0.1702 data_time: 0.0018 loss: 1.4531 03/10 18:07:25 - mmengine - INFO - Epoch(train) [35][ 300/5005] lr: 1.0000e-02 eta: 16:10:29 time: 0.1900 data_time: 0.0022 loss: 1.3777 03/10 18:07:42 - mmengine - INFO - Epoch(train) [35][ 400/5005] lr: 1.0000e-02 eta: 16:10:10 time: 0.1706 data_time: 0.0023 loss: 1.4746 03/10 18:07:59 - mmengine - INFO - Epoch(train) [35][ 500/5005] lr: 1.0000e-02 eta: 16:09:52 time: 0.1714 data_time: 0.0019 loss: 1.3492 03/10 18:08:17 - mmengine - INFO - Epoch(train) [35][ 600/5005] lr: 1.0000e-02 eta: 16:09:34 time: 0.1673 data_time: 0.0021 loss: 1.2710 03/10 18:08:34 - mmengine - INFO - Epoch(train) [35][ 700/5005] lr: 1.0000e-02 eta: 16:09:16 time: 0.1726 data_time: 0.0020 loss: 1.4376 03/10 18:08:51 - mmengine - INFO - Epoch(train) [35][ 800/5005] lr: 1.0000e-02 eta: 16:08:57 time: 0.1696 data_time: 0.0019 loss: 1.3913 03/10 18:08:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:09:09 - mmengine - INFO - Epoch(train) [35][ 900/5005] lr: 1.0000e-02 eta: 16:08:39 time: 0.1875 data_time: 0.0023 loss: 1.3611 03/10 18:09:26 - mmengine - INFO - Epoch(train) [35][1000/5005] lr: 1.0000e-02 eta: 16:08:20 time: 0.1704 data_time: 0.0023 loss: 1.3758 03/10 18:09:43 - mmengine - INFO - Epoch(train) [35][1100/5005] lr: 1.0000e-02 eta: 16:08:02 time: 0.2019 data_time: 0.0024 loss: 1.2910 03/10 18:10:00 - mmengine - INFO - Epoch(train) [35][1200/5005] lr: 1.0000e-02 eta: 16:07:43 time: 0.1692 data_time: 0.0020 loss: 1.6887 03/10 18:10:18 - mmengine - INFO - Epoch(train) [35][1300/5005] lr: 1.0000e-02 eta: 16:07:25 time: 0.1902 data_time: 0.0021 loss: 1.5021 03/10 18:10:35 - mmengine - INFO - Epoch(train) [35][1400/5005] lr: 1.0000e-02 eta: 16:07:07 time: 0.1713 data_time: 0.0020 loss: 1.2634 03/10 18:10:53 - mmengine - INFO - Epoch(train) [35][1500/5005] lr: 1.0000e-02 eta: 16:06:49 time: 0.1697 data_time: 0.0022 loss: 1.5930 03/10 18:11:10 - mmengine - INFO - Epoch(train) [35][1600/5005] lr: 1.0000e-02 eta: 16:06:30 time: 0.1702 data_time: 0.0020 loss: 1.5324 03/10 18:11:27 - mmengine - INFO - Epoch(train) [35][1700/5005] lr: 1.0000e-02 eta: 16:06:12 time: 0.1921 data_time: 0.0020 loss: 1.3723 03/10 18:11:45 - mmengine - INFO - Epoch(train) [35][1800/5005] lr: 1.0000e-02 eta: 16:05:54 time: 0.1703 data_time: 0.0020 loss: 1.3428 03/10 18:11:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:12:02 - mmengine - INFO - Epoch(train) [35][1900/5005] lr: 1.0000e-02 eta: 16:05:36 time: 0.1690 data_time: 0.0020 loss: 1.4442 03/10 18:12:19 - mmengine - INFO - Epoch(train) [35][2000/5005] lr: 1.0000e-02 eta: 16:05:17 time: 0.1684 data_time: 0.0018 loss: 1.5123 03/10 18:12:37 - mmengine - INFO - Epoch(train) [35][2100/5005] lr: 1.0000e-02 eta: 16:04:58 time: 0.1683 data_time: 0.0020 loss: 1.3072 03/10 18:12:54 - mmengine - INFO - Epoch(train) [35][2200/5005] lr: 1.0000e-02 eta: 16:04:39 time: 0.1692 data_time: 0.0019 loss: 1.3479 03/10 18:13:11 - mmengine - INFO - Epoch(train) [35][2300/5005] lr: 1.0000e-02 eta: 16:04:21 time: 0.1721 data_time: 0.0022 loss: 1.5141 03/10 18:13:28 - mmengine - INFO - Epoch(train) [35][2400/5005] lr: 1.0000e-02 eta: 16:04:03 time: 0.1811 data_time: 0.0023 loss: 1.2131 03/10 18:13:46 - mmengine - INFO - Epoch(train) [35][2500/5005] lr: 1.0000e-02 eta: 16:03:44 time: 0.1681 data_time: 0.0019 loss: 1.4213 03/10 18:14:03 - mmengine - INFO - Epoch(train) [35][2600/5005] lr: 1.0000e-02 eta: 16:03:26 time: 0.1701 data_time: 0.0020 loss: 1.4297 03/10 18:14:20 - mmengine - INFO - Epoch(train) [35][2700/5005] lr: 1.0000e-02 eta: 16:03:08 time: 0.1690 data_time: 0.0020 loss: 1.3782 03/10 18:14:37 - mmengine - INFO - Epoch(train) [35][2800/5005] lr: 1.0000e-02 eta: 16:02:49 time: 0.1676 data_time: 0.0020 loss: 1.3138 03/10 18:14:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:14:55 - mmengine - INFO - Epoch(train) [35][2900/5005] lr: 1.0000e-02 eta: 16:02:31 time: 0.1707 data_time: 0.0021 loss: 1.4550 03/10 18:15:12 - mmengine - INFO - Epoch(train) [35][3000/5005] lr: 1.0000e-02 eta: 16:02:12 time: 0.1725 data_time: 0.0020 loss: 1.4432 03/10 18:15:30 - mmengine - INFO - Epoch(train) [35][3100/5005] lr: 1.0000e-02 eta: 16:01:55 time: 0.1894 data_time: 0.0020 loss: 1.5883 03/10 18:15:47 - mmengine - INFO - Epoch(train) [35][3200/5005] lr: 1.0000e-02 eta: 16:01:36 time: 0.1689 data_time: 0.0020 loss: 1.3579 03/10 18:16:04 - mmengine - INFO - Epoch(train) [35][3300/5005] lr: 1.0000e-02 eta: 16:01:17 time: 0.1695 data_time: 0.0020 loss: 1.3844 03/10 18:16:21 - mmengine - INFO - Epoch(train) [35][3400/5005] lr: 1.0000e-02 eta: 16:00:58 time: 0.1706 data_time: 0.0019 loss: 1.3696 03/10 18:16:38 - mmengine - INFO - Epoch(train) [35][3500/5005] lr: 1.0000e-02 eta: 16:00:40 time: 0.1694 data_time: 0.0021 loss: 1.5404 03/10 18:16:55 - mmengine - INFO - Epoch(train) [35][3600/5005] lr: 1.0000e-02 eta: 16:00:21 time: 0.1665 data_time: 0.0021 loss: 1.4195 03/10 18:17:13 - mmengine - INFO - Epoch(train) [35][3700/5005] lr: 1.0000e-02 eta: 16:00:03 time: 0.1700 data_time: 0.0019 loss: 1.4791 03/10 18:17:30 - mmengine - INFO - Epoch(train) [35][3800/5005] lr: 1.0000e-02 eta: 15:59:45 time: 0.1876 data_time: 0.0019 loss: 1.5978 03/10 18:17:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:17:47 - mmengine - INFO - Epoch(train) [35][3900/5005] lr: 1.0000e-02 eta: 15:59:26 time: 0.1684 data_time: 0.0019 loss: 1.3603 03/10 18:18:05 - mmengine - INFO - Epoch(train) [35][4000/5005] lr: 1.0000e-02 eta: 15:59:08 time: 0.1697 data_time: 0.0023 loss: 1.3211 03/10 18:18:22 - mmengine - INFO - Epoch(train) [35][4100/5005] lr: 1.0000e-02 eta: 15:58:49 time: 0.1692 data_time: 0.0019 loss: 1.3300 03/10 18:18:39 - mmengine - INFO - Epoch(train) [35][4200/5005] lr: 1.0000e-02 eta: 15:58:30 time: 0.1678 data_time: 0.0020 loss: 1.4413 03/10 18:18:57 - mmengine - INFO - Epoch(train) [35][4300/5005] lr: 1.0000e-02 eta: 15:58:13 time: 0.1681 data_time: 0.0019 loss: 1.4750 03/10 18:19:14 - mmengine - INFO - Epoch(train) [35][4400/5005] lr: 1.0000e-02 eta: 15:57:54 time: 0.1707 data_time: 0.0020 loss: 1.3276 03/10 18:19:31 - mmengine - INFO - Epoch(train) [35][4500/5005] lr: 1.0000e-02 eta: 15:57:36 time: 0.1897 data_time: 0.0019 loss: 1.4981 03/10 18:19:49 - mmengine - INFO - Epoch(train) [35][4600/5005] lr: 1.0000e-02 eta: 15:57:18 time: 0.1698 data_time: 0.0021 loss: 1.2987 03/10 18:20:06 - mmengine - INFO - Epoch(train) [35][4700/5005] lr: 1.0000e-02 eta: 15:56:59 time: 0.1688 data_time: 0.0020 loss: 1.4431 03/10 18:20:23 - mmengine - INFO - Epoch(train) [35][4800/5005] lr: 1.0000e-02 eta: 15:56:40 time: 0.1675 data_time: 0.0018 loss: 1.4506 03/10 18:20:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:20:39 - mmengine - INFO - Epoch(train) [35][4900/5005] lr: 1.0000e-02 eta: 15:56:20 time: 0.1650 data_time: 0.0018 loss: 1.5188 03/10 18:20:56 - mmengine - INFO - Epoch(train) [35][5000/5005] lr: 1.0000e-02 eta: 15:56:01 time: 0.1665 data_time: 0.0019 loss: 1.2788 03/10 18:20:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:21:02 - mmengine - INFO - Saving checkpoint at 35 epochs 03/10 18:21:22 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:00:18 time: 0.0164 data_time: 0.0004 03/10 18:21:36 - mmengine - INFO - Epoch(val) [35][196/196] accuracy/top1: 71.6700 accuracy/top5: 90.6520 03/10 18:22:13 - mmengine - INFO - Epoch(train) [36][ 100/5005] lr: 1.0000e-02 eta: 15:56:18 time: 0.1688 data_time: 0.0027 loss: 1.5504 03/10 18:22:31 - mmengine - INFO - Epoch(train) [36][ 200/5005] lr: 1.0000e-02 eta: 15:56:00 time: 0.1716 data_time: 0.0022 loss: 1.2461 03/10 18:22:48 - mmengine - INFO - Epoch(train) [36][ 300/5005] lr: 1.0000e-02 eta: 15:55:42 time: 0.1681 data_time: 0.0020 loss: 1.3592 03/10 18:23:06 - mmengine - INFO - Epoch(train) [36][ 400/5005] lr: 1.0000e-02 eta: 15:55:24 time: 0.1902 data_time: 0.0020 loss: 1.5663 03/10 18:23:23 - mmengine - INFO - Epoch(train) [36][ 500/5005] lr: 1.0000e-02 eta: 15:55:06 time: 0.1693 data_time: 0.0019 loss: 1.3824 03/10 18:23:41 - mmengine - INFO - Epoch(train) [36][ 600/5005] lr: 1.0000e-02 eta: 15:54:47 time: 0.2008 data_time: 0.0020 loss: 1.3072 03/10 18:23:58 - mmengine - INFO - Epoch(train) [36][ 700/5005] lr: 1.0000e-02 eta: 15:54:30 time: 0.1926 data_time: 0.0020 loss: 1.2796 03/10 18:24:15 - mmengine - INFO - Epoch(train) [36][ 800/5005] lr: 1.0000e-02 eta: 15:54:11 time: 0.1685 data_time: 0.0022 loss: 1.2660 03/10 18:24:20 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:24:33 - mmengine - INFO - Epoch(train) [36][ 900/5005] lr: 1.0000e-02 eta: 15:53:52 time: 0.1710 data_time: 0.0021 loss: 1.3198 03/10 18:24:50 - mmengine - INFO - Epoch(train) [36][1000/5005] lr: 1.0000e-02 eta: 15:53:34 time: 0.1922 data_time: 0.0022 loss: 1.4951 03/10 18:25:07 - mmengine - INFO - Epoch(train) [36][1100/5005] lr: 1.0000e-02 eta: 15:53:16 time: 0.1701 data_time: 0.0019 loss: 1.5302 03/10 18:25:25 - mmengine - INFO - Epoch(train) [36][1200/5005] lr: 1.0000e-02 eta: 15:52:58 time: 0.1705 data_time: 0.0020 loss: 1.2644 03/10 18:25:43 - mmengine - INFO - Epoch(train) [36][1300/5005] lr: 1.0000e-02 eta: 15:52:41 time: 0.1693 data_time: 0.0022 loss: 1.5257 03/10 18:26:00 - mmengine - INFO - Epoch(train) [36][1400/5005] lr: 1.0000e-02 eta: 15:52:22 time: 0.1722 data_time: 0.0022 loss: 1.4214 03/10 18:26:17 - mmengine - INFO - Epoch(train) [36][1500/5005] lr: 1.0000e-02 eta: 15:52:04 time: 0.1704 data_time: 0.0020 loss: 1.4676 03/10 18:26:35 - mmengine - INFO - Epoch(train) [36][1600/5005] lr: 1.0000e-02 eta: 15:51:45 time: 0.1696 data_time: 0.0022 loss: 1.6076 03/10 18:26:52 - mmengine - INFO - Epoch(train) [36][1700/5005] lr: 1.0000e-02 eta: 15:51:27 time: 0.1698 data_time: 0.0019 loss: 1.5052 03/10 18:27:10 - mmengine - INFO - Epoch(train) [36][1800/5005] lr: 1.0000e-02 eta: 15:51:09 time: 0.1724 data_time: 0.0019 loss: 1.3705 03/10 18:27:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:27:27 - mmengine - INFO - Epoch(train) [36][1900/5005] lr: 1.0000e-02 eta: 15:50:51 time: 0.1704 data_time: 0.0022 loss: 1.4869 03/10 18:27:44 - mmengine - INFO - Epoch(train) [36][2000/5005] lr: 1.0000e-02 eta: 15:50:32 time: 0.1687 data_time: 0.0019 loss: 1.4407 03/10 18:28:01 - mmengine - INFO - Epoch(train) [36][2100/5005] lr: 1.0000e-02 eta: 15:50:13 time: 0.1675 data_time: 0.0018 loss: 1.3773 03/10 18:28:19 - mmengine - INFO - Epoch(train) [36][2200/5005] lr: 1.0000e-02 eta: 15:49:55 time: 0.1725 data_time: 0.0020 loss: 1.2986 03/10 18:28:36 - mmengine - INFO - Epoch(train) [36][2300/5005] lr: 1.0000e-02 eta: 15:49:37 time: 0.1705 data_time: 0.0020 loss: 1.3943 03/10 18:28:53 - mmengine - INFO - Epoch(train) [36][2400/5005] lr: 1.0000e-02 eta: 15:49:18 time: 0.1691 data_time: 0.0019 loss: 1.4297 03/10 18:29:11 - mmengine - INFO - Epoch(train) [36][2500/5005] lr: 1.0000e-02 eta: 15:49:01 time: 0.1816 data_time: 0.0019 loss: 1.4461 03/10 18:29:28 - mmengine - INFO - Epoch(train) [36][2600/5005] lr: 1.0000e-02 eta: 15:48:42 time: 0.1683 data_time: 0.0019 loss: 1.4831 03/10 18:29:45 - mmengine - INFO - Epoch(train) [36][2700/5005] lr: 1.0000e-02 eta: 15:48:23 time: 0.1696 data_time: 0.0022 loss: 1.3034 03/10 18:30:02 - mmengine - INFO - Epoch(train) [36][2800/5005] lr: 1.0000e-02 eta: 15:48:05 time: 0.1660 data_time: 0.0020 loss: 1.4770 03/10 18:30:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:30:19 - mmengine - INFO - Epoch(train) [36][2900/5005] lr: 1.0000e-02 eta: 15:47:46 time: 0.1680 data_time: 0.0021 loss: 1.3788 03/10 18:30:36 - mmengine - INFO - Epoch(train) [36][3000/5005] lr: 1.0000e-02 eta: 15:47:27 time: 0.1677 data_time: 0.0018 loss: 1.3098 03/10 18:30:54 - mmengine - INFO - Epoch(train) [36][3100/5005] lr: 1.0000e-02 eta: 15:47:10 time: 0.1711 data_time: 0.0019 loss: 1.3564 03/10 18:31:12 - mmengine - INFO - Epoch(train) [36][3200/5005] lr: 1.0000e-02 eta: 15:46:51 time: 0.1693 data_time: 0.0020 loss: 1.5465 03/10 18:31:29 - mmengine - INFO - Epoch(train) [36][3300/5005] lr: 1.0000e-02 eta: 15:46:32 time: 0.1694 data_time: 0.0021 loss: 1.4752 03/10 18:31:46 - mmengine - INFO - Epoch(train) [36][3400/5005] lr: 1.0000e-02 eta: 15:46:14 time: 0.1710 data_time: 0.0021 loss: 1.5512 03/10 18:32:03 - mmengine - INFO - Epoch(train) [36][3500/5005] lr: 1.0000e-02 eta: 15:45:55 time: 0.1714 data_time: 0.0019 loss: 1.2930 03/10 18:32:20 - mmengine - INFO - Epoch(train) [36][3600/5005] lr: 1.0000e-02 eta: 15:45:37 time: 0.1677 data_time: 0.0020 loss: 1.3154 03/10 18:32:38 - mmengine - INFO - Epoch(train) [36][3700/5005] lr: 1.0000e-02 eta: 15:45:19 time: 0.1708 data_time: 0.0020 loss: 1.3165 03/10 18:32:55 - mmengine - INFO - Epoch(train) [36][3800/5005] lr: 1.0000e-02 eta: 15:45:00 time: 0.1693 data_time: 0.0020 loss: 1.4322 03/10 18:32:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:33:12 - mmengine - INFO - Epoch(train) [36][3900/5005] lr: 1.0000e-02 eta: 15:44:41 time: 0.1687 data_time: 0.0018 loss: 1.2993 03/10 18:33:29 - mmengine - INFO - Epoch(train) [36][4000/5005] lr: 1.0000e-02 eta: 15:44:23 time: 0.1687 data_time: 0.0019 loss: 1.3913 03/10 18:33:46 - mmengine - INFO - Epoch(train) [36][4100/5005] lr: 1.0000e-02 eta: 15:44:04 time: 0.1693 data_time: 0.0020 loss: 1.4148 03/10 18:34:03 - mmengine - INFO - Epoch(train) [36][4200/5005] lr: 1.0000e-02 eta: 15:43:46 time: 0.1697 data_time: 0.0019 loss: 1.5036 03/10 18:34:21 - mmengine - INFO - Epoch(train) [36][4300/5005] lr: 1.0000e-02 eta: 15:43:28 time: 0.1669 data_time: 0.0019 loss: 1.5849 03/10 18:34:38 - mmengine - INFO - Epoch(train) [36][4400/5005] lr: 1.0000e-02 eta: 15:43:09 time: 0.1681 data_time: 0.0020 loss: 1.5920 03/10 18:34:55 - mmengine - INFO - Epoch(train) [36][4500/5005] lr: 1.0000e-02 eta: 15:42:50 time: 0.1694 data_time: 0.0020 loss: 1.4389 03/10 18:35:12 - mmengine - INFO - Epoch(train) [36][4600/5005] lr: 1.0000e-02 eta: 15:42:32 time: 0.1892 data_time: 0.0021 loss: 1.4426 03/10 18:35:30 - mmengine - INFO - Epoch(train) [36][4700/5005] lr: 1.0000e-02 eta: 15:42:13 time: 0.1709 data_time: 0.0020 loss: 1.1871 03/10 18:35:47 - mmengine - INFO - Epoch(train) [36][4800/5005] lr: 1.0000e-02 eta: 15:41:55 time: 0.1674 data_time: 0.0020 loss: 1.4490 03/10 18:35:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:36:04 - mmengine - INFO - Epoch(train) [36][4900/5005] lr: 1.0000e-02 eta: 15:41:35 time: 0.1665 data_time: 0.0020 loss: 1.4217 03/10 18:36:20 - mmengine - INFO - Epoch(train) [36][5000/5005] lr: 1.0000e-02 eta: 15:41:16 time: 0.1684 data_time: 0.0019 loss: 1.4561 03/10 18:36:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:36:26 - mmengine - INFO - Saving checkpoint at 36 epochs 03/10 18:36:46 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:00:18 time: 0.0169 data_time: 0.0004 03/10 18:37:00 - mmengine - INFO - Epoch(val) [36][196/196] accuracy/top1: 71.5540 accuracy/top5: 90.5420 03/10 18:37:36 - mmengine - INFO - Epoch(train) [37][ 100/5005] lr: 1.0000e-02 eta: 15:41:30 time: 0.1690 data_time: 0.0025 loss: 1.5804 03/10 18:37:53 - mmengine - INFO - Epoch(train) [37][ 200/5005] lr: 1.0000e-02 eta: 15:41:11 time: 0.1691 data_time: 0.0019 loss: 1.4184 03/10 18:38:11 - mmengine - INFO - Epoch(train) [37][ 300/5005] lr: 1.0000e-02 eta: 15:40:54 time: 0.1704 data_time: 0.0019 loss: 1.3057 03/10 18:38:29 - mmengine - INFO - Epoch(train) [37][ 400/5005] lr: 1.0000e-02 eta: 15:40:36 time: 0.1674 data_time: 0.0021 loss: 1.4614 03/10 18:38:46 - mmengine - INFO - Epoch(train) [37][ 500/5005] lr: 1.0000e-02 eta: 15:40:18 time: 0.1689 data_time: 0.0021 loss: 1.3745 03/10 18:39:03 - mmengine - INFO - Epoch(train) [37][ 600/5005] lr: 1.0000e-02 eta: 15:39:59 time: 0.1675 data_time: 0.0020 loss: 1.3853 03/10 18:39:21 - mmengine - INFO - Epoch(train) [37][ 700/5005] lr: 1.0000e-02 eta: 15:39:41 time: 0.1702 data_time: 0.0020 loss: 1.4261 03/10 18:39:38 - mmengine - INFO - Epoch(train) [37][ 800/5005] lr: 1.0000e-02 eta: 15:39:22 time: 0.1833 data_time: 0.0019 loss: 1.2668 03/10 18:39:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:39:55 - mmengine - INFO - Epoch(train) [37][ 900/5005] lr: 1.0000e-02 eta: 15:39:04 time: 0.1695 data_time: 0.0019 loss: 1.3141 03/10 18:40:12 - mmengine - INFO - Epoch(train) [37][1000/5005] lr: 1.0000e-02 eta: 15:38:46 time: 0.1686 data_time: 0.0020 loss: 1.2999 03/10 18:40:30 - mmengine - INFO - Epoch(train) [37][1100/5005] lr: 1.0000e-02 eta: 15:38:28 time: 0.1699 data_time: 0.0020 loss: 1.4264 03/10 18:40:47 - mmengine - INFO - Epoch(train) [37][1200/5005] lr: 1.0000e-02 eta: 15:38:09 time: 0.1696 data_time: 0.0020 loss: 1.2813 03/10 18:41:04 - mmengine - INFO - Epoch(train) [37][1300/5005] lr: 1.0000e-02 eta: 15:37:51 time: 0.1676 data_time: 0.0020 loss: 1.5537 03/10 18:41:22 - mmengine - INFO - Epoch(train) [37][1400/5005] lr: 1.0000e-02 eta: 15:37:32 time: 0.1688 data_time: 0.0019 loss: 1.5011 03/10 18:41:39 - mmengine - INFO - Epoch(train) [37][1500/5005] lr: 1.0000e-02 eta: 15:37:14 time: 0.1685 data_time: 0.0021 loss: 1.4454 03/10 18:41:56 - mmengine - INFO - Epoch(train) [37][1600/5005] lr: 1.0000e-02 eta: 15:36:55 time: 0.1695 data_time: 0.0021 loss: 1.3961 03/10 18:42:14 - mmengine - INFO - Epoch(train) [37][1700/5005] lr: 1.0000e-02 eta: 15:36:37 time: 0.1703 data_time: 0.0022 loss: 1.5960 03/10 18:42:31 - mmengine - INFO - Epoch(train) [37][1800/5005] lr: 1.0000e-02 eta: 15:36:18 time: 0.1718 data_time: 0.0022 loss: 1.4768 03/10 18:42:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:42:48 - mmengine - INFO - Epoch(train) [37][1900/5005] lr: 1.0000e-02 eta: 15:36:00 time: 0.1710 data_time: 0.0019 loss: 1.4512 03/10 18:43:05 - mmengine - INFO - Epoch(train) [37][2000/5005] lr: 1.0000e-02 eta: 15:35:42 time: 0.1701 data_time: 0.0021 loss: 1.4413 03/10 18:43:23 - mmengine - INFO - Epoch(train) [37][2100/5005] lr: 1.0000e-02 eta: 15:35:24 time: 0.1816 data_time: 0.0021 loss: 1.3161 03/10 18:43:40 - mmengine - INFO - Epoch(train) [37][2200/5005] lr: 1.0000e-02 eta: 15:35:06 time: 0.1832 data_time: 0.0019 loss: 1.3495 03/10 18:43:57 - mmengine - INFO - Epoch(train) [37][2300/5005] lr: 1.0000e-02 eta: 15:34:47 time: 0.1705 data_time: 0.0019 loss: 1.3992 03/10 18:44:14 - mmengine - INFO - Epoch(train) [37][2400/5005] lr: 1.0000e-02 eta: 15:34:28 time: 0.1718 data_time: 0.0020 loss: 1.4804 03/10 18:44:32 - mmengine - INFO - Epoch(train) [37][2500/5005] lr: 1.0000e-02 eta: 15:34:10 time: 0.1703 data_time: 0.0021 loss: 1.5718 03/10 18:44:49 - mmengine - INFO - Epoch(train) [37][2600/5005] lr: 1.0000e-02 eta: 15:33:52 time: 0.1698 data_time: 0.0025 loss: 1.5634 03/10 18:45:07 - mmengine - INFO - Epoch(train) [37][2700/5005] lr: 1.0000e-02 eta: 15:33:34 time: 0.1927 data_time: 0.0024 loss: 1.3767 03/10 18:45:24 - mmengine - INFO - Epoch(train) [37][2800/5005] lr: 1.0000e-02 eta: 15:33:15 time: 0.1689 data_time: 0.0023 loss: 1.6085 03/10 18:45:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:45:41 - mmengine - INFO - Epoch(train) [37][2900/5005] lr: 1.0000e-02 eta: 15:32:57 time: 0.1699 data_time: 0.0020 loss: 1.4735 03/10 18:45:58 - mmengine - INFO - Epoch(train) [37][3000/5005] lr: 1.0000e-02 eta: 15:32:38 time: 0.1711 data_time: 0.0021 loss: 1.5456 03/10 18:46:16 - mmengine - INFO - Epoch(train) [37][3100/5005] lr: 1.0000e-02 eta: 15:32:20 time: 0.1903 data_time: 0.0021 loss: 1.3796 03/10 18:46:33 - mmengine - INFO - Epoch(train) [37][3200/5005] lr: 1.0000e-02 eta: 15:32:02 time: 0.1674 data_time: 0.0021 loss: 1.6064 03/10 18:46:51 - mmengine - INFO - Epoch(train) [37][3300/5005] lr: 1.0000e-02 eta: 15:31:44 time: 0.1906 data_time: 0.0021 loss: 1.3698 03/10 18:47:08 - mmengine - INFO - Epoch(train) [37][3400/5005] lr: 1.0000e-02 eta: 15:31:26 time: 0.1702 data_time: 0.0020 loss: 1.3801 03/10 18:47:25 - mmengine - INFO - Epoch(train) [37][3500/5005] lr: 1.0000e-02 eta: 15:31:07 time: 0.1685 data_time: 0.0021 loss: 1.2256 03/10 18:47:42 - mmengine - INFO - Epoch(train) [37][3600/5005] lr: 1.0000e-02 eta: 15:30:48 time: 0.1715 data_time: 0.0021 loss: 1.3558 03/10 18:47:59 - mmengine - INFO - Epoch(train) [37][3700/5005] lr: 1.0000e-02 eta: 15:30:30 time: 0.1741 data_time: 0.0020 loss: 1.5294 03/10 18:48:16 - mmengine - INFO - Epoch(train) [37][3800/5005] lr: 1.0000e-02 eta: 15:30:11 time: 0.1793 data_time: 0.0020 loss: 1.4804 03/10 18:48:20 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:48:34 - mmengine - INFO - Epoch(train) [37][3900/5005] lr: 1.0000e-02 eta: 15:29:53 time: 0.1683 data_time: 0.0021 loss: 1.2696 03/10 18:48:51 - mmengine - INFO - Epoch(train) [37][4000/5005] lr: 1.0000e-02 eta: 15:29:35 time: 0.1712 data_time: 0.0020 loss: 1.5181 03/10 18:49:08 - mmengine - INFO - Epoch(train) [37][4100/5005] lr: 1.0000e-02 eta: 15:29:16 time: 0.1695 data_time: 0.0022 loss: 1.3149 03/10 18:49:26 - mmengine - INFO - Epoch(train) [37][4200/5005] lr: 1.0000e-02 eta: 15:28:58 time: 0.1706 data_time: 0.0021 loss: 1.3583 03/10 18:49:43 - mmengine - INFO - Epoch(train) [37][4300/5005] lr: 1.0000e-02 eta: 15:28:39 time: 0.1692 data_time: 0.0020 loss: 1.3640 03/10 18:50:00 - mmengine - INFO - Epoch(train) [37][4400/5005] lr: 1.0000e-02 eta: 15:28:21 time: 0.1689 data_time: 0.0020 loss: 1.5554 03/10 18:50:18 - mmengine - INFO - Epoch(train) [37][4500/5005] lr: 1.0000e-02 eta: 15:28:03 time: 0.1681 data_time: 0.0021 loss: 1.4139 03/10 18:50:35 - mmengine - INFO - Epoch(train) [37][4600/5005] lr: 1.0000e-02 eta: 15:27:44 time: 0.1698 data_time: 0.0022 loss: 1.4817 03/10 18:50:52 - mmengine - INFO - Epoch(train) [37][4700/5005] lr: 1.0000e-02 eta: 15:27:26 time: 0.1704 data_time: 0.0022 loss: 1.2414 03/10 18:51:09 - mmengine - INFO - Epoch(train) [37][4800/5005] lr: 1.0000e-02 eta: 15:27:07 time: 0.1694 data_time: 0.0019 loss: 1.4147 03/10 18:51:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:51:26 - mmengine - INFO - Epoch(train) [37][4900/5005] lr: 1.0000e-02 eta: 15:26:48 time: 0.1687 data_time: 0.0017 loss: 1.4776 03/10 18:51:42 - mmengine - INFO - Epoch(train) [37][5000/5005] lr: 1.0000e-02 eta: 15:26:29 time: 0.1655 data_time: 0.0020 loss: 1.2729 03/10 18:51:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:51:48 - mmengine - INFO - Saving checkpoint at 37 epochs 03/10 18:52:08 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:00:17 time: 0.0166 data_time: 0.0004 03/10 18:52:22 - mmengine - INFO - Epoch(val) [37][196/196] accuracy/top1: 71.6460 accuracy/top5: 90.6300 03/10 18:52:59 - mmengine - INFO - Epoch(train) [38][ 100/5005] lr: 1.0000e-02 eta: 15:26:41 time: 0.1683 data_time: 0.0029 loss: 1.4105 03/10 18:53:16 - mmengine - INFO - Epoch(train) [38][ 200/5005] lr: 1.0000e-02 eta: 15:26:23 time: 0.1751 data_time: 0.0024 loss: 1.2824 03/10 18:53:33 - mmengine - INFO - Epoch(train) [38][ 300/5005] lr: 1.0000e-02 eta: 15:26:05 time: 0.1699 data_time: 0.0022 loss: 1.4801 03/10 18:53:51 - mmengine - INFO - Epoch(train) [38][ 400/5005] lr: 1.0000e-02 eta: 15:25:47 time: 0.1693 data_time: 0.0021 loss: 1.4234 03/10 18:54:08 - mmengine - INFO - Epoch(train) [38][ 500/5005] lr: 1.0000e-02 eta: 15:25:28 time: 0.1690 data_time: 0.0022 loss: 1.3002 03/10 18:54:25 - mmengine - INFO - Epoch(train) [38][ 600/5005] lr: 1.0000e-02 eta: 15:25:10 time: 0.1721 data_time: 0.0020 loss: 1.2939 03/10 18:54:43 - mmengine - INFO - Epoch(train) [38][ 700/5005] lr: 1.0000e-02 eta: 15:24:53 time: 0.1860 data_time: 0.0019 loss: 1.4885 03/10 18:55:00 - mmengine - INFO - Epoch(train) [38][ 800/5005] lr: 1.0000e-02 eta: 15:24:35 time: 0.1696 data_time: 0.0020 loss: 1.3293 03/10 18:55:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:55:18 - mmengine - INFO - Epoch(train) [38][ 900/5005] lr: 1.0000e-02 eta: 15:24:16 time: 0.1683 data_time: 0.0019 loss: 1.3431 03/10 18:55:36 - mmengine - INFO - Epoch(train) [38][1000/5005] lr: 1.0000e-02 eta: 15:23:59 time: 0.1689 data_time: 0.0020 loss: 1.1285 03/10 18:55:53 - mmengine - INFO - Epoch(train) [38][1100/5005] lr: 1.0000e-02 eta: 15:23:40 time: 0.1704 data_time: 0.0020 loss: 1.3934 03/10 18:56:10 - mmengine - INFO - Epoch(train) [38][1200/5005] lr: 1.0000e-02 eta: 15:23:22 time: 0.1681 data_time: 0.0020 loss: 1.5213 03/10 18:56:28 - mmengine - INFO - Epoch(train) [38][1300/5005] lr: 1.0000e-02 eta: 15:23:04 time: 0.1900 data_time: 0.0020 loss: 1.5267 03/10 18:56:45 - mmengine - INFO - Epoch(train) [38][1400/5005] lr: 1.0000e-02 eta: 15:22:46 time: 0.1909 data_time: 0.0020 loss: 1.3565 03/10 18:57:02 - mmengine - INFO - Epoch(train) [38][1500/5005] lr: 1.0000e-02 eta: 15:22:27 time: 0.1711 data_time: 0.0020 loss: 1.4420 03/10 18:57:19 - mmengine - INFO - Epoch(train) [38][1600/5005] lr: 1.0000e-02 eta: 15:22:09 time: 0.1667 data_time: 0.0019 loss: 1.4413 03/10 18:57:36 - mmengine - INFO - Epoch(train) [38][1700/5005] lr: 1.0000e-02 eta: 15:21:50 time: 0.1687 data_time: 0.0019 loss: 1.4407 03/10 18:57:53 - mmengine - INFO - Epoch(train) [38][1800/5005] lr: 1.0000e-02 eta: 15:21:31 time: 0.1685 data_time: 0.0023 loss: 1.5298 03/10 18:57:56 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 18:58:11 - mmengine - INFO - Epoch(train) [38][1900/5005] lr: 1.0000e-02 eta: 15:21:13 time: 0.1706 data_time: 0.0020 loss: 1.3627 03/10 18:58:29 - mmengine - INFO - Epoch(train) [38][2000/5005] lr: 1.0000e-02 eta: 15:20:55 time: 0.1685 data_time: 0.0019 loss: 1.3854 03/10 18:58:46 - mmengine - INFO - Epoch(train) [38][2100/5005] lr: 1.0000e-02 eta: 15:20:37 time: 0.1698 data_time: 0.0021 loss: 1.1944 03/10 18:59:03 - mmengine - INFO - Epoch(train) [38][2200/5005] lr: 1.0000e-02 eta: 15:20:18 time: 0.1725 data_time: 0.0021 loss: 1.2852 03/10 18:59:20 - mmengine - INFO - Epoch(train) [38][2300/5005] lr: 1.0000e-02 eta: 15:20:00 time: 0.1677 data_time: 0.0020 loss: 1.5418 03/10 18:59:37 - mmengine - INFO - Epoch(train) [38][2400/5005] lr: 1.0000e-02 eta: 15:19:41 time: 0.1704 data_time: 0.0019 loss: 1.2328 03/10 18:59:54 - mmengine - INFO - Epoch(train) [38][2500/5005] lr: 1.0000e-02 eta: 15:19:23 time: 0.1720 data_time: 0.0020 loss: 1.5453 03/10 19:00:12 - mmengine - INFO - Epoch(train) [38][2600/5005] lr: 1.0000e-02 eta: 15:19:05 time: 0.1830 data_time: 0.0019 loss: 1.5427 03/10 19:00:29 - mmengine - INFO - Epoch(train) [38][2700/5005] lr: 1.0000e-02 eta: 15:18:46 time: 0.1693 data_time: 0.0020 loss: 1.2407 03/10 19:00:46 - mmengine - INFO - Epoch(train) [38][2800/5005] lr: 1.0000e-02 eta: 15:18:28 time: 0.1694 data_time: 0.0020 loss: 1.2584 03/10 19:00:49 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:01:04 - mmengine - INFO - Epoch(train) [38][2900/5005] lr: 1.0000e-02 eta: 15:18:09 time: 0.1715 data_time: 0.0021 loss: 1.5207 03/10 19:01:21 - mmengine - INFO - Epoch(train) [38][3000/5005] lr: 1.0000e-02 eta: 15:17:51 time: 0.1702 data_time: 0.0020 loss: 1.2526 03/10 19:01:38 - mmengine - INFO - Epoch(train) [38][3100/5005] lr: 1.0000e-02 eta: 15:17:32 time: 0.1693 data_time: 0.0020 loss: 1.3322 03/10 19:01:55 - mmengine - INFO - Epoch(train) [38][3200/5005] lr: 1.0000e-02 eta: 15:17:15 time: 0.1691 data_time: 0.0019 loss: 1.4354 03/10 19:02:13 - mmengine - INFO - Epoch(train) [38][3300/5005] lr: 1.0000e-02 eta: 15:16:56 time: 0.1699 data_time: 0.0020 loss: 1.4282 03/10 19:02:30 - mmengine - INFO - Epoch(train) [38][3400/5005] lr: 1.0000e-02 eta: 15:16:37 time: 0.1702 data_time: 0.0019 loss: 1.3428 03/10 19:02:47 - mmengine - INFO - Epoch(train) [38][3500/5005] lr: 1.0000e-02 eta: 15:16:19 time: 0.1689 data_time: 0.0022 loss: 1.4203 03/10 19:03:04 - mmengine - INFO - Epoch(train) [38][3600/5005] lr: 1.0000e-02 eta: 15:16:01 time: 0.1689 data_time: 0.0020 loss: 1.3925 03/10 19:03:22 - mmengine - INFO - Epoch(train) [38][3700/5005] lr: 1.0000e-02 eta: 15:15:42 time: 0.1704 data_time: 0.0019 loss: 1.2150 03/10 19:03:39 - mmengine - INFO - Epoch(train) [38][3800/5005] lr: 1.0000e-02 eta: 15:15:25 time: 0.1720 data_time: 0.0021 loss: 1.3047 03/10 19:03:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:03:57 - mmengine - INFO - Epoch(train) [38][3900/5005] lr: 1.0000e-02 eta: 15:15:06 time: 0.1713 data_time: 0.0019 loss: 1.4037 03/10 19:04:14 - mmengine - INFO - Epoch(train) [38][4000/5005] lr: 1.0000e-02 eta: 15:14:48 time: 0.1694 data_time: 0.0021 loss: 1.4521 03/10 19:04:31 - mmengine - INFO - Epoch(train) [38][4100/5005] lr: 1.0000e-02 eta: 15:14:29 time: 0.1680 data_time: 0.0020 loss: 1.3666 03/10 19:04:48 - mmengine - INFO - Epoch(train) [38][4200/5005] lr: 1.0000e-02 eta: 15:14:11 time: 0.1695 data_time: 0.0020 loss: 1.3054 03/10 19:05:06 - mmengine - INFO - Epoch(train) [38][4300/5005] lr: 1.0000e-02 eta: 15:13:53 time: 0.1960 data_time: 0.0022 loss: 1.4436 03/10 19:05:23 - mmengine - INFO - Epoch(train) [38][4400/5005] lr: 1.0000e-02 eta: 15:13:35 time: 0.1700 data_time: 0.0019 loss: 1.2304 03/10 19:05:40 - mmengine - INFO - Epoch(train) [38][4500/5005] lr: 1.0000e-02 eta: 15:13:17 time: 0.1698 data_time: 0.0021 loss: 1.4231 03/10 19:05:58 - mmengine - INFO - Epoch(train) [38][4600/5005] lr: 1.0000e-02 eta: 15:12:58 time: 0.1717 data_time: 0.0020 loss: 1.4725 03/10 19:06:15 - mmengine - INFO - Epoch(train) [38][4700/5005] lr: 1.0000e-02 eta: 15:12:40 time: 0.1698 data_time: 0.0020 loss: 1.3590 03/10 19:06:32 - mmengine - INFO - Epoch(train) [38][4800/5005] lr: 1.0000e-02 eta: 15:12:22 time: 0.1665 data_time: 0.0018 loss: 1.3923 03/10 19:06:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:06:49 - mmengine - INFO - Epoch(train) [38][4900/5005] lr: 1.0000e-02 eta: 15:12:03 time: 0.1666 data_time: 0.0020 loss: 1.4141 03/10 19:07:06 - mmengine - INFO - Epoch(train) [38][5000/5005] lr: 1.0000e-02 eta: 15:11:44 time: 0.1652 data_time: 0.0020 loss: 1.4407 03/10 19:07:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:07:12 - mmengine - INFO - Saving checkpoint at 38 epochs 03/10 19:07:31 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:00:17 time: 0.0160 data_time: 0.0003 03/10 19:07:45 - mmengine - INFO - Epoch(val) [38][196/196] accuracy/top1: 71.5580 accuracy/top5: 90.6920 03/10 19:08:21 - mmengine - INFO - Epoch(train) [39][ 100/5005] lr: 1.0000e-02 eta: 15:11:54 time: 0.1713 data_time: 0.0025 loss: 1.4346 03/10 19:08:39 - mmengine - INFO - Epoch(train) [39][ 200/5005] lr: 1.0000e-02 eta: 15:11:36 time: 0.1761 data_time: 0.0020 loss: 1.4558 03/10 19:08:56 - mmengine - INFO - Epoch(train) [39][ 300/5005] lr: 1.0000e-02 eta: 15:11:19 time: 0.1720 data_time: 0.0027 loss: 1.2186 03/10 19:09:14 - mmengine - INFO - Epoch(train) [39][ 400/5005] lr: 1.0000e-02 eta: 15:11:00 time: 0.1685 data_time: 0.0021 loss: 1.3237 03/10 19:09:32 - mmengine - INFO - Epoch(train) [39][ 500/5005] lr: 1.0000e-02 eta: 15:10:43 time: 0.1726 data_time: 0.0021 loss: 1.4061 03/10 19:09:49 - mmengine - INFO - Epoch(train) [39][ 600/5005] lr: 1.0000e-02 eta: 15:10:25 time: 0.1730 data_time: 0.0021 loss: 1.3923 03/10 19:10:07 - mmengine - INFO - Epoch(train) [39][ 700/5005] lr: 1.0000e-02 eta: 15:10:07 time: 0.1695 data_time: 0.0023 loss: 1.2990 03/10 19:10:24 - mmengine - INFO - Epoch(train) [39][ 800/5005] lr: 1.0000e-02 eta: 15:09:49 time: 0.1694 data_time: 0.0020 loss: 1.2446 03/10 19:10:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:10:41 - mmengine - INFO - Epoch(train) [39][ 900/5005] lr: 1.0000e-02 eta: 15:09:30 time: 0.1689 data_time: 0.0020 loss: 1.5153 03/10 19:10:59 - mmengine - INFO - Epoch(train) [39][1000/5005] lr: 1.0000e-02 eta: 15:09:12 time: 0.1688 data_time: 0.0021 loss: 1.3927 03/10 19:11:16 - mmengine - INFO - Epoch(train) [39][1100/5005] lr: 1.0000e-02 eta: 15:08:54 time: 0.1732 data_time: 0.0021 loss: 1.2413 03/10 19:11:34 - mmengine - INFO - Epoch(train) [39][1200/5005] lr: 1.0000e-02 eta: 15:08:37 time: 0.1717 data_time: 0.0021 loss: 1.4607 03/10 19:11:51 - mmengine - INFO - Epoch(train) [39][1300/5005] lr: 1.0000e-02 eta: 15:08:18 time: 0.1687 data_time: 0.0022 loss: 1.3196 03/10 19:12:08 - mmengine - INFO - Epoch(train) [39][1400/5005] lr: 1.0000e-02 eta: 15:08:00 time: 0.1712 data_time: 0.0020 loss: 1.4020 03/10 19:12:26 - mmengine - INFO - Epoch(train) [39][1500/5005] lr: 1.0000e-02 eta: 15:07:41 time: 0.1658 data_time: 0.0021 loss: 1.4848 03/10 19:12:43 - mmengine - INFO - Epoch(train) [39][1600/5005] lr: 1.0000e-02 eta: 15:07:24 time: 0.1838 data_time: 0.0022 loss: 1.4289 03/10 19:13:01 - mmengine - INFO - Epoch(train) [39][1700/5005] lr: 1.0000e-02 eta: 15:07:05 time: 0.1731 data_time: 0.0021 loss: 1.4320 03/10 19:13:18 - mmengine - INFO - Epoch(train) [39][1800/5005] lr: 1.0000e-02 eta: 15:06:47 time: 0.1721 data_time: 0.0022 loss: 1.5198 03/10 19:13:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:13:35 - mmengine - INFO - Epoch(train) [39][1900/5005] lr: 1.0000e-02 eta: 15:06:28 time: 0.1676 data_time: 0.0021 loss: 1.4205 03/10 19:13:52 - mmengine - INFO - Epoch(train) [39][2000/5005] lr: 1.0000e-02 eta: 15:06:10 time: 0.1720 data_time: 0.0020 loss: 1.3316 03/10 19:14:10 - mmengine - INFO - Epoch(train) [39][2100/5005] lr: 1.0000e-02 eta: 15:05:52 time: 0.1724 data_time: 0.0022 loss: 1.5652 03/10 19:14:27 - mmengine - INFO - Epoch(train) [39][2200/5005] lr: 1.0000e-02 eta: 15:05:34 time: 0.1703 data_time: 0.0021 loss: 1.4359 03/10 19:14:44 - mmengine - INFO - Epoch(train) [39][2300/5005] lr: 1.0000e-02 eta: 15:05:16 time: 0.1708 data_time: 0.0020 loss: 1.4087 03/10 19:15:02 - mmengine - INFO - Epoch(train) [39][2400/5005] lr: 1.0000e-02 eta: 15:04:58 time: 0.1690 data_time: 0.0021 loss: 1.3896 03/10 19:15:19 - mmengine - INFO - Epoch(train) [39][2500/5005] lr: 1.0000e-02 eta: 15:04:39 time: 0.1701 data_time: 0.0020 loss: 1.4077 03/10 19:15:36 - mmengine - INFO - Epoch(train) [39][2600/5005] lr: 1.0000e-02 eta: 15:04:21 time: 0.1707 data_time: 0.0021 loss: 1.4875 03/10 19:15:54 - mmengine - INFO - Epoch(train) [39][2700/5005] lr: 1.0000e-02 eta: 15:04:03 time: 0.1709 data_time: 0.0021 loss: 1.2679 03/10 19:16:11 - mmengine - INFO - Epoch(train) [39][2800/5005] lr: 1.0000e-02 eta: 15:03:44 time: 0.1705 data_time: 0.0022 loss: 1.1028 03/10 19:16:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:16:28 - mmengine - INFO - Epoch(train) [39][2900/5005] lr: 1.0000e-02 eta: 15:03:26 time: 0.1701 data_time: 0.0019 loss: 1.3569 03/10 19:16:46 - mmengine - INFO - Epoch(train) [39][3000/5005] lr: 1.0000e-02 eta: 15:03:08 time: 0.1883 data_time: 0.0021 loss: 1.3343 03/10 19:17:03 - mmengine - INFO - Epoch(train) [39][3100/5005] lr: 1.0000e-02 eta: 15:02:50 time: 0.1865 data_time: 0.0021 loss: 1.6880 03/10 19:17:20 - mmengine - INFO - Epoch(train) [39][3200/5005] lr: 1.0000e-02 eta: 15:02:31 time: 0.1712 data_time: 0.0022 loss: 1.4317 03/10 19:17:38 - mmengine - INFO - Epoch(train) [39][3300/5005] lr: 1.0000e-02 eta: 15:02:13 time: 0.1717 data_time: 0.0019 loss: 1.5073 03/10 19:17:55 - mmengine - INFO - Epoch(train) [39][3400/5005] lr: 1.0000e-02 eta: 15:01:55 time: 0.1711 data_time: 0.0020 loss: 1.3443 03/10 19:18:12 - mmengine - INFO - Epoch(train) [39][3500/5005] lr: 1.0000e-02 eta: 15:01:37 time: 0.1696 data_time: 0.0020 loss: 1.4237 03/10 19:18:30 - mmengine - INFO - Epoch(train) [39][3600/5005] lr: 1.0000e-02 eta: 15:01:19 time: 0.1694 data_time: 0.0019 loss: 1.3614 03/10 19:18:47 - mmengine - INFO - Epoch(train) [39][3700/5005] lr: 1.0000e-02 eta: 15:01:00 time: 0.1894 data_time: 0.0021 loss: 1.5462 03/10 19:19:04 - mmengine - INFO - Epoch(train) [39][3800/5005] lr: 1.0000e-02 eta: 15:00:42 time: 0.1687 data_time: 0.0023 loss: 1.3973 03/10 19:19:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:19:21 - mmengine - INFO - Epoch(train) [39][3900/5005] lr: 1.0000e-02 eta: 15:00:23 time: 0.1956 data_time: 0.0021 loss: 1.3441 03/10 19:19:39 - mmengine - INFO - Epoch(train) [39][4000/5005] lr: 1.0000e-02 eta: 15:00:05 time: 0.1715 data_time: 0.0021 loss: 1.3231 03/10 19:19:56 - mmengine - INFO - Epoch(train) [39][4100/5005] lr: 1.0000e-02 eta: 14:59:47 time: 0.1693 data_time: 0.0019 loss: 1.2717 03/10 19:20:13 - mmengine - INFO - Epoch(train) [39][4200/5005] lr: 1.0000e-02 eta: 14:59:28 time: 0.1708 data_time: 0.0020 loss: 1.5203 03/10 19:20:30 - mmengine - INFO - Epoch(train) [39][4300/5005] lr: 1.0000e-02 eta: 14:59:10 time: 0.1695 data_time: 0.0020 loss: 1.4347 03/10 19:20:47 - mmengine - INFO - Epoch(train) [39][4400/5005] lr: 1.0000e-02 eta: 14:58:51 time: 0.1705 data_time: 0.0022 loss: 1.3544 03/10 19:21:05 - mmengine - INFO - Epoch(train) [39][4500/5005] lr: 1.0000e-02 eta: 14:58:33 time: 0.1655 data_time: 0.0021 loss: 1.3571 03/10 19:21:22 - mmengine - INFO - Epoch(train) [39][4600/5005] lr: 1.0000e-02 eta: 14:58:15 time: 0.1691 data_time: 0.0020 loss: 1.4906 03/10 19:21:40 - mmengine - INFO - Epoch(train) [39][4700/5005] lr: 1.0000e-02 eta: 14:57:57 time: 0.1685 data_time: 0.0022 loss: 1.3538 03/10 19:21:57 - mmengine - INFO - Epoch(train) [39][4800/5005] lr: 1.0000e-02 eta: 14:57:38 time: 0.1685 data_time: 0.0018 loss: 1.3791 03/10 19:21:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:22:13 - mmengine - INFO - Epoch(train) [39][4900/5005] lr: 1.0000e-02 eta: 14:57:19 time: 0.1708 data_time: 0.0022 loss: 1.3646 03/10 19:22:30 - mmengine - INFO - Epoch(train) [39][5000/5005] lr: 1.0000e-02 eta: 14:57:00 time: 0.1652 data_time: 0.0020 loss: 1.2824 03/10 19:22:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:22:36 - mmengine - INFO - Saving checkpoint at 39 epochs 03/10 19:22:58 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:00:19 time: 0.0165 data_time: 0.0003 03/10 19:23:12 - mmengine - INFO - Epoch(val) [39][196/196] accuracy/top1: 71.1840 accuracy/top5: 90.4300 03/10 19:23:48 - mmengine - INFO - Epoch(train) [40][ 100/5005] lr: 1.0000e-02 eta: 14:57:10 time: 0.1705 data_time: 0.0028 loss: 1.2629 03/10 19:24:05 - mmengine - INFO - Epoch(train) [40][ 200/5005] lr: 1.0000e-02 eta: 14:56:52 time: 0.1723 data_time: 0.0037 loss: 1.3373 03/10 19:24:23 - mmengine - INFO - Epoch(train) [40][ 300/5005] lr: 1.0000e-02 eta: 14:56:35 time: 0.1735 data_time: 0.0021 loss: 1.4059 03/10 19:24:41 - mmengine - INFO - Epoch(train) [40][ 400/5005] lr: 1.0000e-02 eta: 14:56:17 time: 0.1816 data_time: 0.0020 loss: 1.2969 03/10 19:24:58 - mmengine - INFO - Epoch(train) [40][ 500/5005] lr: 1.0000e-02 eta: 14:55:59 time: 0.1688 data_time: 0.0022 loss: 1.3408 03/10 19:25:15 - mmengine - INFO - Epoch(train) [40][ 600/5005] lr: 1.0000e-02 eta: 14:55:40 time: 0.1706 data_time: 0.0020 loss: 1.2934 03/10 19:25:33 - mmengine - INFO - Epoch(train) [40][ 700/5005] lr: 1.0000e-02 eta: 14:55:23 time: 0.1699 data_time: 0.0020 loss: 1.5898 03/10 19:25:50 - mmengine - INFO - Epoch(train) [40][ 800/5005] lr: 1.0000e-02 eta: 14:55:04 time: 0.1957 data_time: 0.0021 loss: 1.2850 03/10 19:25:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:26:08 - mmengine - INFO - Epoch(train) [40][ 900/5005] lr: 1.0000e-02 eta: 14:54:48 time: 0.1690 data_time: 0.0020 loss: 1.3535 03/10 19:26:25 - mmengine - INFO - Epoch(train) [40][1000/5005] lr: 1.0000e-02 eta: 14:54:29 time: 0.1697 data_time: 0.0022 loss: 1.2406 03/10 19:26:43 - mmengine - INFO - Epoch(train) [40][1100/5005] lr: 1.0000e-02 eta: 14:54:10 time: 0.1692 data_time: 0.0021 loss: 1.3621 03/10 19:27:00 - mmengine - INFO - Epoch(train) [40][1200/5005] lr: 1.0000e-02 eta: 14:53:52 time: 0.1697 data_time: 0.0019 loss: 1.3495 03/10 19:27:17 - mmengine - INFO - Epoch(train) [40][1300/5005] lr: 1.0000e-02 eta: 14:53:34 time: 0.1843 data_time: 0.0020 loss: 1.4908 03/10 19:27:35 - mmengine - INFO - Epoch(train) [40][1400/5005] lr: 1.0000e-02 eta: 14:53:17 time: 0.2311 data_time: 0.0020 loss: 1.4486 03/10 19:27:53 - mmengine - INFO - Epoch(train) [40][1500/5005] lr: 1.0000e-02 eta: 14:52:59 time: 0.1676 data_time: 0.0020 loss: 1.5917 03/10 19:28:10 - mmengine - INFO - Epoch(train) [40][1600/5005] lr: 1.0000e-02 eta: 14:52:40 time: 0.1690 data_time: 0.0020 loss: 1.4289 03/10 19:28:27 - mmengine - INFO - Epoch(train) [40][1700/5005] lr: 1.0000e-02 eta: 14:52:22 time: 0.1700 data_time: 0.0020 loss: 1.3436 03/10 19:28:44 - mmengine - INFO - Epoch(train) [40][1800/5005] lr: 1.0000e-02 eta: 14:52:04 time: 0.1709 data_time: 0.0020 loss: 1.4386 03/10 19:28:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:29:02 - mmengine - INFO - Epoch(train) [40][1900/5005] lr: 1.0000e-02 eta: 14:51:45 time: 0.1706 data_time: 0.0022 loss: 1.4672 03/10 19:29:20 - mmengine - INFO - Epoch(train) [40][2000/5005] lr: 1.0000e-02 eta: 14:51:28 time: 0.1696 data_time: 0.0019 loss: 1.4819 03/10 19:29:37 - mmengine - INFO - Epoch(train) [40][2100/5005] lr: 1.0000e-02 eta: 14:51:10 time: 0.1705 data_time: 0.0024 loss: 1.4943 03/10 19:29:54 - mmengine - INFO - Epoch(train) [40][2200/5005] lr: 1.0000e-02 eta: 14:50:51 time: 0.1708 data_time: 0.0020 loss: 1.3087 03/10 19:30:11 - mmengine - INFO - Epoch(train) [40][2300/5005] lr: 1.0000e-02 eta: 14:50:33 time: 0.1723 data_time: 0.0022 loss: 1.4080 03/10 19:30:28 - mmengine - INFO - Epoch(train) [40][2400/5005] lr: 1.0000e-02 eta: 14:50:14 time: 0.1691 data_time: 0.0021 loss: 1.4010 03/10 19:30:46 - mmengine - INFO - Epoch(train) [40][2500/5005] lr: 1.0000e-02 eta: 14:49:56 time: 0.1701 data_time: 0.0023 loss: 1.4632 03/10 19:31:03 - mmengine - INFO - Epoch(train) [40][2600/5005] lr: 1.0000e-02 eta: 14:49:38 time: 0.1710 data_time: 0.0020 loss: 1.4750 03/10 19:31:21 - mmengine - INFO - Epoch(train) [40][2700/5005] lr: 1.0000e-02 eta: 14:49:20 time: 0.1682 data_time: 0.0020 loss: 1.1579 03/10 19:31:38 - mmengine - INFO - Epoch(train) [40][2800/5005] lr: 1.0000e-02 eta: 14:49:02 time: 0.1707 data_time: 0.0020 loss: 1.6190 03/10 19:31:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:31:55 - mmengine - INFO - Epoch(train) [40][2900/5005] lr: 1.0000e-02 eta: 14:48:43 time: 0.1699 data_time: 0.0023 loss: 1.4791 03/10 19:32:12 - mmengine - INFO - Epoch(train) [40][3000/5005] lr: 1.0000e-02 eta: 14:48:25 time: 0.1908 data_time: 0.0021 loss: 1.2872 03/10 19:32:30 - mmengine - INFO - Epoch(train) [40][3100/5005] lr: 1.0000e-02 eta: 14:48:07 time: 0.1718 data_time: 0.0020 loss: 1.5242 03/10 19:32:47 - mmengine - INFO - Epoch(train) [40][3200/5005] lr: 1.0000e-02 eta: 14:47:49 time: 0.1710 data_time: 0.0023 loss: 1.3300 03/10 19:33:04 - mmengine - INFO - Epoch(train) [40][3300/5005] lr: 1.0000e-02 eta: 14:47:30 time: 0.1716 data_time: 0.0020 loss: 1.3913 03/10 19:33:22 - mmengine - INFO - Epoch(train) [40][3400/5005] lr: 1.0000e-02 eta: 14:47:12 time: 0.1687 data_time: 0.0021 loss: 1.3144 03/10 19:33:39 - mmengine - INFO - Epoch(train) [40][3500/5005] lr: 1.0000e-02 eta: 14:46:54 time: 0.1669 data_time: 0.0023 loss: 1.2692 03/10 19:33:56 - mmengine - INFO - Epoch(train) [40][3600/5005] lr: 1.0000e-02 eta: 14:46:35 time: 0.1678 data_time: 0.0023 loss: 1.3415 03/10 19:34:14 - mmengine - INFO - Epoch(train) [40][3700/5005] lr: 1.0000e-02 eta: 14:46:17 time: 0.1704 data_time: 0.0023 loss: 1.4129 03/10 19:34:31 - mmengine - INFO - Epoch(train) [40][3800/5005] lr: 1.0000e-02 eta: 14:45:59 time: 0.1705 data_time: 0.0021 loss: 1.5323 03/10 19:34:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:34:48 - mmengine - INFO - Epoch(train) [40][3900/5005] lr: 1.0000e-02 eta: 14:45:41 time: 0.1700 data_time: 0.0021 loss: 1.3625 03/10 19:35:05 - mmengine - INFO - Epoch(train) [40][4000/5005] lr: 1.0000e-02 eta: 14:45:22 time: 0.1680 data_time: 0.0021 loss: 1.4714 03/10 19:35:23 - mmengine - INFO - Epoch(train) [40][4100/5005] lr: 1.0000e-02 eta: 14:45:04 time: 0.1841 data_time: 0.0021 loss: 1.3814 03/10 19:35:40 - mmengine - INFO - Epoch(train) [40][4200/5005] lr: 1.0000e-02 eta: 14:44:46 time: 0.1682 data_time: 0.0023 loss: 1.4520 03/10 19:35:57 - mmengine - INFO - Epoch(train) [40][4300/5005] lr: 1.0000e-02 eta: 14:44:28 time: 0.1674 data_time: 0.0019 loss: 1.3980 03/10 19:36:15 - mmengine - INFO - Epoch(train) [40][4400/5005] lr: 1.0000e-02 eta: 14:44:09 time: 0.1706 data_time: 0.0021 loss: 1.4527 03/10 19:36:32 - mmengine - INFO - Epoch(train) [40][4500/5005] lr: 1.0000e-02 eta: 14:43:51 time: 0.1678 data_time: 0.0023 loss: 1.3006 03/10 19:36:49 - mmengine - INFO - Epoch(train) [40][4600/5005] lr: 1.0000e-02 eta: 14:43:32 time: 0.1700 data_time: 0.0020 loss: 1.5108 03/10 19:37:06 - mmengine - INFO - Epoch(train) [40][4700/5005] lr: 1.0000e-02 eta: 14:43:14 time: 0.1721 data_time: 0.0020 loss: 1.4500 03/10 19:37:23 - mmengine - INFO - Epoch(train) [40][4800/5005] lr: 1.0000e-02 eta: 14:42:56 time: 0.1666 data_time: 0.0020 loss: 1.4447 03/10 19:37:24 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:37:40 - mmengine - INFO - Epoch(train) [40][4900/5005] lr: 1.0000e-02 eta: 14:42:37 time: 0.1683 data_time: 0.0018 loss: 1.5576 03/10 19:37:57 - mmengine - INFO - Epoch(train) [40][5000/5005] lr: 1.0000e-02 eta: 14:42:18 time: 0.1676 data_time: 0.0020 loss: 1.5074 03/10 19:37:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:38:02 - mmengine - INFO - Saving checkpoint at 40 epochs 03/10 19:38:23 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:00:18 time: 0.0154 data_time: 0.0003 03/10 19:38:37 - mmengine - INFO - Epoch(val) [40][196/196] accuracy/top1: 71.6160 accuracy/top5: 90.6820 03/10 19:39:14 - mmengine - INFO - Epoch(train) [41][ 100/5005] lr: 1.0000e-02 eta: 14:42:28 time: 0.1688 data_time: 0.0024 loss: 1.2025 03/10 19:39:31 - mmengine - INFO - Epoch(train) [41][ 200/5005] lr: 1.0000e-02 eta: 14:42:09 time: 0.1871 data_time: 0.0022 loss: 1.2338 03/10 19:39:48 - mmengine - INFO - Epoch(train) [41][ 300/5005] lr: 1.0000e-02 eta: 14:41:51 time: 0.2027 data_time: 0.0031 loss: 1.3019 03/10 19:40:06 - mmengine - INFO - Epoch(train) [41][ 400/5005] lr: 1.0000e-02 eta: 14:41:34 time: 0.1731 data_time: 0.0024 loss: 1.3475 03/10 19:40:24 - mmengine - INFO - Epoch(train) [41][ 500/5005] lr: 1.0000e-02 eta: 14:41:16 time: 0.1732 data_time: 0.0022 loss: 1.4433 03/10 19:40:41 - mmengine - INFO - Epoch(train) [41][ 600/5005] lr: 1.0000e-02 eta: 14:40:57 time: 0.1695 data_time: 0.0021 loss: 1.4157 03/10 19:40:58 - mmengine - INFO - Epoch(train) [41][ 700/5005] lr: 1.0000e-02 eta: 14:40:39 time: 0.1701 data_time: 0.0022 loss: 1.2908 03/10 19:41:16 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:41:16 - mmengine - INFO - Epoch(train) [41][ 800/5005] lr: 1.0000e-02 eta: 14:40:21 time: 0.1689 data_time: 0.0020 loss: 1.4197 03/10 19:41:33 - mmengine - INFO - Epoch(train) [41][ 900/5005] lr: 1.0000e-02 eta: 14:40:03 time: 0.1908 data_time: 0.0023 loss: 1.5360 03/10 19:41:50 - mmengine - INFO - Epoch(train) [41][1000/5005] lr: 1.0000e-02 eta: 14:39:45 time: 0.1717 data_time: 0.0021 loss: 1.4248 03/10 19:42:08 - mmengine - INFO - Epoch(train) [41][1100/5005] lr: 1.0000e-02 eta: 14:39:27 time: 0.1704 data_time: 0.0021 loss: 1.2313 03/10 19:42:25 - mmengine - INFO - Epoch(train) [41][1200/5005] lr: 1.0000e-02 eta: 14:39:08 time: 0.1697 data_time: 0.0023 loss: 1.3916 03/10 19:42:42 - mmengine - INFO - Epoch(train) [41][1300/5005] lr: 1.0000e-02 eta: 14:38:50 time: 0.1719 data_time: 0.0031 loss: 1.4599 03/10 19:43:00 - mmengine - INFO - Epoch(train) [41][1400/5005] lr: 1.0000e-02 eta: 14:38:32 time: 0.1725 data_time: 0.0019 loss: 1.4100 03/10 19:43:17 - mmengine - INFO - Epoch(train) [41][1500/5005] lr: 1.0000e-02 eta: 14:38:14 time: 0.1694 data_time: 0.0022 loss: 1.4524 03/10 19:43:34 - mmengine - INFO - Epoch(train) [41][1600/5005] lr: 1.0000e-02 eta: 14:37:55 time: 0.1690 data_time: 0.0020 loss: 1.4095 03/10 19:43:51 - mmengine - INFO - Epoch(train) [41][1700/5005] lr: 1.0000e-02 eta: 14:37:37 time: 0.1726 data_time: 0.0022 loss: 1.4845 03/10 19:44:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:44:09 - mmengine - INFO - Epoch(train) [41][1800/5005] lr: 1.0000e-02 eta: 14:37:19 time: 0.1698 data_time: 0.0021 loss: 1.5486 03/10 19:44:26 - mmengine - INFO - Epoch(train) [41][1900/5005] lr: 1.0000e-02 eta: 14:37:00 time: 0.1700 data_time: 0.0021 loss: 1.4008 03/10 19:44:43 - mmengine - INFO - Epoch(train) [41][2000/5005] lr: 1.0000e-02 eta: 14:36:42 time: 0.1730 data_time: 0.0021 loss: 1.3809 03/10 19:45:01 - mmengine - INFO - Epoch(train) [41][2100/5005] lr: 1.0000e-02 eta: 14:36:24 time: 0.1689 data_time: 0.0021 loss: 1.3544 03/10 19:45:18 - mmengine - INFO - Epoch(train) [41][2200/5005] lr: 1.0000e-02 eta: 14:36:06 time: 0.1669 data_time: 0.0021 loss: 1.3786 03/10 19:45:35 - mmengine - INFO - Epoch(train) [41][2300/5005] lr: 1.0000e-02 eta: 14:35:47 time: 0.1683 data_time: 0.0020 loss: 1.4264 03/10 19:45:53 - mmengine - INFO - Epoch(train) [41][2400/5005] lr: 1.0000e-02 eta: 14:35:29 time: 0.1721 data_time: 0.0020 loss: 1.1495 03/10 19:46:10 - mmengine - INFO - Epoch(train) [41][2500/5005] lr: 1.0000e-02 eta: 14:35:11 time: 0.1708 data_time: 0.0021 loss: 1.2892 03/10 19:46:27 - mmengine - INFO - Epoch(train) [41][2600/5005] lr: 1.0000e-02 eta: 14:34:53 time: 0.1880 data_time: 0.0020 loss: 1.3782 03/10 19:46:44 - mmengine - INFO - Epoch(train) [41][2700/5005] lr: 1.0000e-02 eta: 14:34:35 time: 0.1720 data_time: 0.0021 loss: 1.3447 03/10 19:47:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:47:02 - mmengine - INFO - Epoch(train) [41][2800/5005] lr: 1.0000e-02 eta: 14:34:16 time: 0.1699 data_time: 0.0021 loss: 1.1471 03/10 19:47:19 - mmengine - INFO - Epoch(train) [41][2900/5005] lr: 1.0000e-02 eta: 14:33:58 time: 0.1686 data_time: 0.0020 loss: 1.5039 03/10 19:47:36 - mmengine - INFO - Epoch(train) [41][3000/5005] lr: 1.0000e-02 eta: 14:33:40 time: 0.1692 data_time: 0.0022 loss: 1.4333 03/10 19:47:54 - mmengine - INFO - Epoch(train) [41][3100/5005] lr: 1.0000e-02 eta: 14:33:21 time: 0.1692 data_time: 0.0022 loss: 1.3367 03/10 19:48:11 - mmengine - INFO - Epoch(train) [41][3200/5005] lr: 1.0000e-02 eta: 14:33:03 time: 0.1713 data_time: 0.0022 loss: 1.3907 03/10 19:48:28 - mmengine - INFO - Epoch(train) [41][3300/5005] lr: 1.0000e-02 eta: 14:32:45 time: 0.1680 data_time: 0.0019 loss: 1.2757 03/10 19:48:46 - mmengine - INFO - Epoch(train) [41][3400/5005] lr: 1.0000e-02 eta: 14:32:27 time: 0.1700 data_time: 0.0021 loss: 1.2655 03/10 19:49:03 - mmengine - INFO - Epoch(train) [41][3500/5005] lr: 1.0000e-02 eta: 14:32:08 time: 0.1695 data_time: 0.0021 loss: 1.4118 03/10 19:49:20 - mmengine - INFO - Epoch(train) [41][3600/5005] lr: 1.0000e-02 eta: 14:31:50 time: 0.1700 data_time: 0.0023 loss: 1.2354 03/10 19:49:37 - mmengine - INFO - Epoch(train) [41][3700/5005] lr: 1.0000e-02 eta: 14:31:32 time: 0.1697 data_time: 0.0019 loss: 1.4166 03/10 19:49:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:49:55 - mmengine - INFO - Epoch(train) [41][3800/5005] lr: 1.0000e-02 eta: 14:31:14 time: 0.1688 data_time: 0.0021 loss: 1.2767 03/10 19:50:12 - mmengine - INFO - Epoch(train) [41][3900/5005] lr: 1.0000e-02 eta: 14:30:55 time: 0.1703 data_time: 0.0021 loss: 1.4043 03/10 19:50:29 - mmengine - INFO - Epoch(train) [41][4000/5005] lr: 1.0000e-02 eta: 14:30:37 time: 0.1706 data_time: 0.0020 loss: 1.5394 03/10 19:50:46 - mmengine - INFO - Epoch(train) [41][4100/5005] lr: 1.0000e-02 eta: 14:30:19 time: 0.1712 data_time: 0.0023 loss: 1.3986 03/10 19:51:04 - mmengine - INFO - Epoch(train) [41][4200/5005] lr: 1.0000e-02 eta: 14:30:01 time: 0.1704 data_time: 0.0021 loss: 1.5983 03/10 19:51:21 - mmengine - INFO - Epoch(train) [41][4300/5005] lr: 1.0000e-02 eta: 14:29:43 time: 0.1703 data_time: 0.0022 loss: 1.3541 03/10 19:51:38 - mmengine - INFO - Epoch(train) [41][4400/5005] lr: 1.0000e-02 eta: 14:29:25 time: 0.1986 data_time: 0.0022 loss: 1.3337 03/10 19:51:56 - mmengine - INFO - Epoch(train) [41][4500/5005] lr: 1.0000e-02 eta: 14:29:06 time: 0.1700 data_time: 0.0021 loss: 1.3258 03/10 19:52:13 - mmengine - INFO - Epoch(train) [41][4600/5005] lr: 1.0000e-02 eta: 14:28:48 time: 0.1696 data_time: 0.0021 loss: 1.4395 03/10 19:52:30 - mmengine - INFO - Epoch(train) [41][4700/5005] lr: 1.0000e-02 eta: 14:28:29 time: 0.1696 data_time: 0.0022 loss: 1.2411 03/10 19:52:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:52:47 - mmengine - INFO - Epoch(train) [41][4800/5005] lr: 1.0000e-02 eta: 14:28:11 time: 0.1661 data_time: 0.0020 loss: 1.1709 03/10 19:53:04 - mmengine - INFO - Epoch(train) [41][4900/5005] lr: 1.0000e-02 eta: 14:27:52 time: 0.1670 data_time: 0.0019 loss: 1.4130 03/10 19:53:21 - mmengine - INFO - Epoch(train) [41][5000/5005] lr: 1.0000e-02 eta: 14:27:33 time: 0.1675 data_time: 0.0018 loss: 1.3795 03/10 19:53:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:53:27 - mmengine - INFO - Saving checkpoint at 41 epochs 03/10 19:53:47 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:00:17 time: 0.0164 data_time: 0.0004 03/10 19:54:01 - mmengine - INFO - Epoch(val) [41][196/196] accuracy/top1: 71.6040 accuracy/top5: 90.6720 03/10 19:54:37 - mmengine - INFO - Epoch(train) [42][ 100/5005] lr: 1.0000e-02 eta: 14:27:41 time: 0.1694 data_time: 0.0022 loss: 1.4607 03/10 19:54:55 - mmengine - INFO - Epoch(train) [42][ 200/5005] lr: 1.0000e-02 eta: 14:27:23 time: 0.1697 data_time: 0.0025 loss: 1.2770 03/10 19:55:12 - mmengine - INFO - Epoch(train) [42][ 300/5005] lr: 1.0000e-02 eta: 14:27:05 time: 0.1669 data_time: 0.0021 loss: 1.3541 03/10 19:55:30 - mmengine - INFO - Epoch(train) [42][ 400/5005] lr: 1.0000e-02 eta: 14:26:47 time: 0.1687 data_time: 0.0024 loss: 1.3020 03/10 19:55:47 - mmengine - INFO - Epoch(train) [42][ 500/5005] lr: 1.0000e-02 eta: 14:26:29 time: 0.1687 data_time: 0.0028 loss: 1.3437 03/10 19:56:04 - mmengine - INFO - Epoch(train) [42][ 600/5005] lr: 1.0000e-02 eta: 14:26:11 time: 0.1946 data_time: 0.0025 loss: 1.3850 03/10 19:56:22 - mmengine - INFO - Epoch(train) [42][ 700/5005] lr: 1.0000e-02 eta: 14:25:53 time: 0.1702 data_time: 0.0023 loss: 1.4049 03/10 19:56:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:56:40 - mmengine - INFO - Epoch(train) [42][ 800/5005] lr: 1.0000e-02 eta: 14:25:35 time: 0.1662 data_time: 0.0026 loss: 1.3240 03/10 19:56:57 - mmengine - INFO - Epoch(train) [42][ 900/5005] lr: 1.0000e-02 eta: 14:25:18 time: 0.2161 data_time: 0.0025 loss: 1.4589 03/10 19:57:15 - mmengine - INFO - Epoch(train) [42][1000/5005] lr: 1.0000e-02 eta: 14:24:59 time: 0.1694 data_time: 0.0021 loss: 1.3622 03/10 19:57:32 - mmengine - INFO - Epoch(train) [42][1100/5005] lr: 1.0000e-02 eta: 14:24:41 time: 0.1670 data_time: 0.0021 loss: 1.4430 03/10 19:57:49 - mmengine - INFO - Epoch(train) [42][1200/5005] lr: 1.0000e-02 eta: 14:24:23 time: 0.1912 data_time: 0.0022 loss: 1.4071 03/10 19:58:07 - mmengine - INFO - Epoch(train) [42][1300/5005] lr: 1.0000e-02 eta: 14:24:05 time: 0.1687 data_time: 0.0021 loss: 1.4101 03/10 19:58:24 - mmengine - INFO - Epoch(train) [42][1400/5005] lr: 1.0000e-02 eta: 14:23:47 time: 0.1711 data_time: 0.0022 loss: 1.2410 03/10 19:58:41 - mmengine - INFO - Epoch(train) [42][1500/5005] lr: 1.0000e-02 eta: 14:23:29 time: 0.1699 data_time: 0.0024 loss: 1.2277 03/10 19:58:59 - mmengine - INFO - Epoch(train) [42][1600/5005] lr: 1.0000e-02 eta: 14:23:10 time: 0.1703 data_time: 0.0021 loss: 1.3736 03/10 19:59:16 - mmengine - INFO - Epoch(train) [42][1700/5005] lr: 1.0000e-02 eta: 14:22:52 time: 0.1678 data_time: 0.0023 loss: 1.4326 03/10 19:59:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 19:59:33 - mmengine - INFO - Epoch(train) [42][1800/5005] lr: 1.0000e-02 eta: 14:22:34 time: 0.1699 data_time: 0.0026 loss: 1.4952 03/10 19:59:51 - mmengine - INFO - Epoch(train) [42][1900/5005] lr: 1.0000e-02 eta: 14:22:16 time: 0.1705 data_time: 0.0021 loss: 1.4936 03/10 20:00:08 - mmengine - INFO - Epoch(train) [42][2000/5005] lr: 1.0000e-02 eta: 14:21:58 time: 0.1694 data_time: 0.0020 loss: 1.4612 03/10 20:00:25 - mmengine - INFO - Epoch(train) [42][2100/5005] lr: 1.0000e-02 eta: 14:21:39 time: 0.1697 data_time: 0.0022 loss: 1.3749 03/10 20:00:42 - mmengine - INFO - Epoch(train) [42][2200/5005] lr: 1.0000e-02 eta: 14:21:21 time: 0.1694 data_time: 0.0025 loss: 1.4913 03/10 20:01:00 - mmengine - INFO - Epoch(train) [42][2300/5005] lr: 1.0000e-02 eta: 14:21:03 time: 0.1707 data_time: 0.0025 loss: 1.3434 03/10 20:01:17 - mmengine - INFO - Epoch(train) [42][2400/5005] lr: 1.0000e-02 eta: 14:20:45 time: 0.1720 data_time: 0.0021 loss: 1.4543 03/10 20:01:35 - mmengine - INFO - Epoch(train) [42][2500/5005] lr: 1.0000e-02 eta: 14:20:26 time: 0.1697 data_time: 0.0021 loss: 1.3009 03/10 20:01:52 - mmengine - INFO - Epoch(train) [42][2600/5005] lr: 1.0000e-02 eta: 14:20:08 time: 0.1678 data_time: 0.0022 loss: 1.3235 03/10 20:02:09 - mmengine - INFO - Epoch(train) [42][2700/5005] lr: 1.0000e-02 eta: 14:19:50 time: 0.1707 data_time: 0.0021 loss: 1.3489 03/10 20:02:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:02:26 - mmengine - INFO - Epoch(train) [42][2800/5005] lr: 1.0000e-02 eta: 14:19:32 time: 0.1696 data_time: 0.0022 loss: 1.3703 03/10 20:02:44 - mmengine - INFO - Epoch(train) [42][2900/5005] lr: 1.0000e-02 eta: 14:19:14 time: 0.1694 data_time: 0.0022 loss: 1.3475 03/10 20:03:01 - mmengine - INFO - Epoch(train) [42][3000/5005] lr: 1.0000e-02 eta: 14:18:56 time: 0.1700 data_time: 0.0021 loss: 1.4681 03/10 20:03:19 - mmengine - INFO - Epoch(train) [42][3100/5005] lr: 1.0000e-02 eta: 14:18:37 time: 0.1686 data_time: 0.0020 loss: 1.3647 03/10 20:03:36 - mmengine - INFO - Epoch(train) [42][3200/5005] lr: 1.0000e-02 eta: 14:18:19 time: 0.1873 data_time: 0.0021 loss: 1.3897 03/10 20:03:53 - mmengine - INFO - Epoch(train) [42][3300/5005] lr: 1.0000e-02 eta: 14:18:01 time: 0.1678 data_time: 0.0022 loss: 1.4815 03/10 20:04:10 - mmengine - INFO - Epoch(train) [42][3400/5005] lr: 1.0000e-02 eta: 14:17:42 time: 0.1699 data_time: 0.0021 loss: 1.3657 03/10 20:04:28 - mmengine - INFO - Epoch(train) [42][3500/5005] lr: 1.0000e-02 eta: 14:17:25 time: 0.1711 data_time: 0.0022 loss: 1.3990 03/10 20:04:45 - mmengine - INFO - Epoch(train) [42][3600/5005] lr: 1.0000e-02 eta: 14:17:06 time: 0.1691 data_time: 0.0021 loss: 1.3973 03/10 20:05:02 - mmengine - INFO - Epoch(train) [42][3700/5005] lr: 1.0000e-02 eta: 14:16:48 time: 0.1889 data_time: 0.0022 loss: 1.1916 03/10 20:05:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:05:19 - mmengine - INFO - Epoch(train) [42][3800/5005] lr: 1.0000e-02 eta: 14:16:29 time: 0.1718 data_time: 0.0021 loss: 1.4925 03/10 20:05:37 - mmengine - INFO - Epoch(train) [42][3900/5005] lr: 1.0000e-02 eta: 14:16:11 time: 0.1711 data_time: 0.0022 loss: 1.4714 03/10 20:05:54 - mmengine - INFO - Epoch(train) [42][4000/5005] lr: 1.0000e-02 eta: 14:15:53 time: 0.1710 data_time: 0.0022 loss: 1.4192 03/10 20:06:11 - mmengine - INFO - Epoch(train) [42][4100/5005] lr: 1.0000e-02 eta: 14:15:35 time: 0.1682 data_time: 0.0021 loss: 1.3216 03/10 20:06:29 - mmengine - INFO - Epoch(train) [42][4200/5005] lr: 1.0000e-02 eta: 14:15:17 time: 0.1698 data_time: 0.0022 loss: 1.7490 03/10 20:06:46 - mmengine - INFO - Epoch(train) [42][4300/5005] lr: 1.0000e-02 eta: 14:14:58 time: 0.1690 data_time: 0.0022 loss: 1.4645 03/10 20:07:03 - mmengine - INFO - Epoch(train) [42][4400/5005] lr: 1.0000e-02 eta: 14:14:40 time: 0.1715 data_time: 0.0022 loss: 1.4400 03/10 20:07:20 - mmengine - INFO - Epoch(train) [42][4500/5005] lr: 1.0000e-02 eta: 14:14:22 time: 0.1721 data_time: 0.0021 loss: 1.5830 03/10 20:07:37 - mmengine - INFO - Epoch(train) [42][4600/5005] lr: 1.0000e-02 eta: 14:14:03 time: 0.1705 data_time: 0.0021 loss: 1.5254 03/10 20:07:55 - mmengine - INFO - Epoch(train) [42][4700/5005] lr: 1.0000e-02 eta: 14:13:45 time: 0.1686 data_time: 0.0021 loss: 1.5467 03/10 20:08:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:08:12 - mmengine - INFO - Epoch(train) [42][4800/5005] lr: 1.0000e-02 eta: 14:13:27 time: 0.1669 data_time: 0.0019 loss: 1.3798 03/10 20:08:29 - mmengine - INFO - Epoch(train) [42][4900/5005] lr: 1.0000e-02 eta: 14:13:08 time: 0.1677 data_time: 0.0022 loss: 1.5245 03/10 20:08:46 - mmengine - INFO - Epoch(train) [42][5000/5005] lr: 1.0000e-02 eta: 14:12:49 time: 0.1667 data_time: 0.0022 loss: 1.4284 03/10 20:08:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:08:51 - mmengine - INFO - Saving checkpoint at 42 epochs 03/10 20:09:11 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:00:18 time: 0.0168 data_time: 0.0005 03/10 20:09:26 - mmengine - INFO - Epoch(val) [42][196/196] accuracy/top1: 71.1120 accuracy/top5: 90.4740 03/10 20:10:01 - mmengine - INFO - Epoch(train) [43][ 100/5005] lr: 1.0000e-02 eta: 14:12:56 time: 0.1690 data_time: 0.0026 loss: 1.4853 03/10 20:10:19 - mmengine - INFO - Epoch(train) [43][ 200/5005] lr: 1.0000e-02 eta: 14:12:37 time: 0.1692 data_time: 0.0020 loss: 1.2947 03/10 20:10:36 - mmengine - INFO - Epoch(train) [43][ 300/5005] lr: 1.0000e-02 eta: 14:12:20 time: 0.1710 data_time: 0.0021 loss: 1.3852 03/10 20:10:54 - mmengine - INFO - Epoch(train) [43][ 400/5005] lr: 1.0000e-02 eta: 14:12:02 time: 0.1718 data_time: 0.0024 loss: 1.4197 03/10 20:11:11 - mmengine - INFO - Epoch(train) [43][ 500/5005] lr: 1.0000e-02 eta: 14:11:43 time: 0.1702 data_time: 0.0022 loss: 1.3695 03/10 20:11:29 - mmengine - INFO - Epoch(train) [43][ 600/5005] lr: 1.0000e-02 eta: 14:11:25 time: 0.1701 data_time: 0.0021 loss: 1.2035 03/10 20:11:46 - mmengine - INFO - Epoch(train) [43][ 700/5005] lr: 1.0000e-02 eta: 14:11:07 time: 0.1712 data_time: 0.0022 loss: 1.3049 03/10 20:12:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:12:03 - mmengine - INFO - Epoch(train) [43][ 800/5005] lr: 1.0000e-02 eta: 14:10:49 time: 0.1709 data_time: 0.0024 loss: 1.3263 03/10 20:12:21 - mmengine - INFO - Epoch(train) [43][ 900/5005] lr: 1.0000e-02 eta: 14:10:31 time: 0.1692 data_time: 0.0021 loss: 1.3712 03/10 20:12:38 - mmengine - INFO - Epoch(train) [43][1000/5005] lr: 1.0000e-02 eta: 14:10:13 time: 0.1687 data_time: 0.0022 loss: 1.3961 03/10 20:12:55 - mmengine - INFO - Epoch(train) [43][1100/5005] lr: 1.0000e-02 eta: 14:09:55 time: 0.1713 data_time: 0.0021 loss: 1.3380 03/10 20:13:13 - mmengine - INFO - Epoch(train) [43][1200/5005] lr: 1.0000e-02 eta: 14:09:36 time: 0.1681 data_time: 0.0023 loss: 1.2890 03/10 20:13:30 - mmengine - INFO - Epoch(train) [43][1300/5005] lr: 1.0000e-02 eta: 14:09:18 time: 0.1685 data_time: 0.0021 loss: 1.5405 03/10 20:13:47 - mmengine - INFO - Epoch(train) [43][1400/5005] lr: 1.0000e-02 eta: 14:08:59 time: 0.1706 data_time: 0.0022 loss: 1.2471 03/10 20:14:05 - mmengine - INFO - Epoch(train) [43][1500/5005] lr: 1.0000e-02 eta: 14:08:42 time: 0.1921 data_time: 0.0020 loss: 1.4798 03/10 20:14:22 - mmengine - INFO - Epoch(train) [43][1600/5005] lr: 1.0000e-02 eta: 14:08:24 time: 0.1699 data_time: 0.0020 loss: 1.3560 03/10 20:14:39 - mmengine - INFO - Epoch(train) [43][1700/5005] lr: 1.0000e-02 eta: 14:08:06 time: 0.1710 data_time: 0.0022 loss: 1.3419 03/10 20:14:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:14:57 - mmengine - INFO - Epoch(train) [43][1800/5005] lr: 1.0000e-02 eta: 14:07:48 time: 0.1678 data_time: 0.0021 loss: 1.3185 03/10 20:15:14 - mmengine - INFO - Epoch(train) [43][1900/5005] lr: 1.0000e-02 eta: 14:07:29 time: 0.1704 data_time: 0.0021 loss: 1.2634 03/10 20:15:31 - mmengine - INFO - Epoch(train) [43][2000/5005] lr: 1.0000e-02 eta: 14:07:11 time: 0.1696 data_time: 0.0022 loss: 1.4988 03/10 20:15:49 - mmengine - INFO - Epoch(train) [43][2100/5005] lr: 1.0000e-02 eta: 14:06:54 time: 0.1949 data_time: 0.0024 loss: 1.3213 03/10 20:16:07 - mmengine - INFO - Epoch(train) [43][2200/5005] lr: 1.0000e-02 eta: 14:06:36 time: 0.1739 data_time: 0.0021 loss: 1.4271 03/10 20:16:24 - mmengine - INFO - Epoch(train) [43][2300/5005] lr: 1.0000e-02 eta: 14:06:18 time: 0.1718 data_time: 0.0023 loss: 1.4554 03/10 20:16:41 - mmengine - INFO - Epoch(train) [43][2400/5005] lr: 1.0000e-02 eta: 14:05:59 time: 0.1683 data_time: 0.0020 loss: 1.3113 03/10 20:16:58 - mmengine - INFO - Epoch(train) [43][2500/5005] lr: 1.0000e-02 eta: 14:05:41 time: 0.1694 data_time: 0.0023 loss: 1.5064 03/10 20:17:16 - mmengine - INFO - Epoch(train) [43][2600/5005] lr: 1.0000e-02 eta: 14:05:23 time: 0.1698 data_time: 0.0022 loss: 1.2944 03/10 20:17:33 - mmengine - INFO - Epoch(train) [43][2700/5005] lr: 1.0000e-02 eta: 14:05:05 time: 0.1717 data_time: 0.0023 loss: 1.7495 03/10 20:17:49 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:17:50 - mmengine - INFO - Epoch(train) [43][2800/5005] lr: 1.0000e-02 eta: 14:04:47 time: 0.1689 data_time: 0.0021 loss: 1.2813 03/10 20:18:08 - mmengine - INFO - Epoch(train) [43][2900/5005] lr: 1.0000e-02 eta: 14:04:29 time: 0.1708 data_time: 0.0022 loss: 1.4684 03/10 20:18:25 - mmengine - INFO - Epoch(train) [43][3000/5005] lr: 1.0000e-02 eta: 14:04:10 time: 0.1668 data_time: 0.0023 loss: 1.2656 03/10 20:18:42 - mmengine - INFO - Epoch(train) [43][3100/5005] lr: 1.0000e-02 eta: 14:03:52 time: 0.1694 data_time: 0.0021 loss: 1.3873 03/10 20:19:00 - mmengine - INFO - Epoch(train) [43][3200/5005] lr: 1.0000e-02 eta: 14:03:34 time: 0.1740 data_time: 0.0021 loss: 1.3097 03/10 20:19:17 - mmengine - INFO - Epoch(train) [43][3300/5005] lr: 1.0000e-02 eta: 14:03:16 time: 0.1865 data_time: 0.0022 loss: 1.5834 03/10 20:19:34 - mmengine - INFO - Epoch(train) [43][3400/5005] lr: 1.0000e-02 eta: 14:02:58 time: 0.1683 data_time: 0.0021 loss: 1.3800 03/10 20:19:52 - mmengine - INFO - Epoch(train) [43][3500/5005] lr: 1.0000e-02 eta: 14:02:40 time: 0.1700 data_time: 0.0022 loss: 1.3989 03/10 20:20:09 - mmengine - INFO - Epoch(train) [43][3600/5005] lr: 1.0000e-02 eta: 14:02:22 time: 0.1701 data_time: 0.0021 loss: 1.4953 03/10 20:20:27 - mmengine - INFO - Epoch(train) [43][3700/5005] lr: 1.0000e-02 eta: 14:02:03 time: 0.1681 data_time: 0.0021 loss: 1.3211 03/10 20:20:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:20:44 - mmengine - INFO - Epoch(train) [43][3800/5005] lr: 1.0000e-02 eta: 14:01:45 time: 0.1674 data_time: 0.0024 loss: 1.3224 03/10 20:21:01 - mmengine - INFO - Epoch(train) [43][3900/5005] lr: 1.0000e-02 eta: 14:01:28 time: 0.1658 data_time: 0.0023 loss: 1.4432 03/10 20:21:19 - mmengine - INFO - Epoch(train) [43][4000/5005] lr: 1.0000e-02 eta: 14:01:09 time: 0.1758 data_time: 0.0037 loss: 1.3905 03/10 20:21:36 - mmengine - INFO - Epoch(train) [43][4100/5005] lr: 1.0000e-02 eta: 14:00:51 time: 0.1700 data_time: 0.0024 loss: 1.4810 03/10 20:21:53 - mmengine - INFO - Epoch(train) [43][4200/5005] lr: 1.0000e-02 eta: 14:00:33 time: 0.1700 data_time: 0.0023 loss: 1.4178 03/10 20:22:11 - mmengine - INFO - Epoch(train) [43][4300/5005] lr: 1.0000e-02 eta: 14:00:15 time: 0.1709 data_time: 0.0023 loss: 1.3190 03/10 20:22:28 - mmengine - INFO - Epoch(train) [43][4400/5005] lr: 1.0000e-02 eta: 13:59:57 time: 0.1686 data_time: 0.0023 loss: 1.2957 03/10 20:22:45 - mmengine - INFO - Epoch(train) [43][4500/5005] lr: 1.0000e-02 eta: 13:59:39 time: 0.1710 data_time: 0.0025 loss: 1.3463 03/10 20:23:03 - mmengine - INFO - Epoch(train) [43][4600/5005] lr: 1.0000e-02 eta: 13:59:20 time: 0.1703 data_time: 0.0024 loss: 1.2291 03/10 20:23:20 - mmengine - INFO - Epoch(train) [43][4700/5005] lr: 1.0000e-02 eta: 13:59:02 time: 0.1871 data_time: 0.0023 loss: 1.4698 03/10 20:23:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:23:37 - mmengine - INFO - Epoch(train) [43][4800/5005] lr: 1.0000e-02 eta: 13:58:44 time: 0.1692 data_time: 0.0023 loss: 1.4266 03/10 20:23:54 - mmengine - INFO - Epoch(train) [43][4900/5005] lr: 1.0000e-02 eta: 13:58:25 time: 0.1661 data_time: 0.0021 loss: 1.2525 03/10 20:24:11 - mmengine - INFO - Epoch(train) [43][5000/5005] lr: 1.0000e-02 eta: 13:58:06 time: 0.1676 data_time: 0.0022 loss: 1.4061 03/10 20:24:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:24:17 - mmengine - INFO - Saving checkpoint at 43 epochs 03/10 20:24:36 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:00:17 time: 0.0170 data_time: 0.0004 03/10 20:24:50 - mmengine - INFO - Epoch(val) [43][196/196] accuracy/top1: 71.1920 accuracy/top5: 90.4120 03/10 20:25:28 - mmengine - INFO - Epoch(train) [44][ 100/5005] lr: 1.0000e-02 eta: 13:58:14 time: 0.1726 data_time: 0.0023 loss: 1.3460 03/10 20:25:45 - mmengine - INFO - Epoch(train) [44][ 200/5005] lr: 1.0000e-02 eta: 13:57:56 time: 0.1691 data_time: 0.0028 loss: 1.3888 03/10 20:26:03 - mmengine - INFO - Epoch(train) [44][ 300/5005] lr: 1.0000e-02 eta: 13:57:38 time: 0.1713 data_time: 0.0026 loss: 1.4446 03/10 20:26:20 - mmengine - INFO - Epoch(train) [44][ 400/5005] lr: 1.0000e-02 eta: 13:57:20 time: 0.1701 data_time: 0.0023 loss: 1.1730 03/10 20:26:38 - mmengine - INFO - Epoch(train) [44][ 500/5005] lr: 1.0000e-02 eta: 13:57:02 time: 0.1691 data_time: 0.0023 loss: 1.3176 03/10 20:26:55 - mmengine - INFO - Epoch(train) [44][ 600/5005] lr: 1.0000e-02 eta: 13:56:44 time: 0.1724 data_time: 0.0022 loss: 1.5061 03/10 20:27:13 - mmengine - INFO - Epoch(train) [44][ 700/5005] lr: 1.0000e-02 eta: 13:56:26 time: 0.1712 data_time: 0.0023 loss: 1.3111 03/10 20:27:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:27:31 - mmengine - INFO - Epoch(train) [44][ 800/5005] lr: 1.0000e-02 eta: 13:56:08 time: 0.1721 data_time: 0.0023 loss: 1.3229 03/10 20:27:48 - mmengine - INFO - Epoch(train) [44][ 900/5005] lr: 1.0000e-02 eta: 13:55:50 time: 0.1707 data_time: 0.0021 loss: 1.2436 03/10 20:28:05 - mmengine - INFO - Epoch(train) [44][1000/5005] lr: 1.0000e-02 eta: 13:55:32 time: 0.1755 data_time: 0.0024 loss: 1.2836 03/10 20:28:23 - mmengine - INFO - Epoch(train) [44][1100/5005] lr: 1.0000e-02 eta: 13:55:14 time: 0.1715 data_time: 0.0023 loss: 1.2675 03/10 20:28:40 - mmengine - INFO - Epoch(train) [44][1200/5005] lr: 1.0000e-02 eta: 13:54:56 time: 0.1905 data_time: 0.0020 loss: 1.3523 03/10 20:28:58 - mmengine - INFO - Epoch(train) [44][1300/5005] lr: 1.0000e-02 eta: 13:54:38 time: 0.1704 data_time: 0.0022 loss: 1.3645 03/10 20:29:15 - mmengine - INFO - Epoch(train) [44][1400/5005] lr: 1.0000e-02 eta: 13:54:20 time: 0.1683 data_time: 0.0025 loss: 1.4595 03/10 20:29:32 - mmengine - INFO - Epoch(train) [44][1500/5005] lr: 1.0000e-02 eta: 13:54:01 time: 0.1680 data_time: 0.0022 loss: 1.4818 03/10 20:29:49 - mmengine - INFO - Epoch(train) [44][1600/5005] lr: 1.0000e-02 eta: 13:53:43 time: 0.1722 data_time: 0.0025 loss: 1.1869 03/10 20:30:07 - mmengine - INFO - Epoch(train) [44][1700/5005] lr: 1.0000e-02 eta: 13:53:25 time: 0.1694 data_time: 0.0020 loss: 1.5560 03/10 20:30:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:30:24 - mmengine - INFO - Epoch(train) [44][1800/5005] lr: 1.0000e-02 eta: 13:53:08 time: 0.1892 data_time: 0.0021 loss: 1.4234 03/10 20:30:42 - mmengine - INFO - Epoch(train) [44][1900/5005] lr: 1.0000e-02 eta: 13:52:49 time: 0.1675 data_time: 0.0022 loss: 1.4801 03/10 20:30:59 - mmengine - INFO - Epoch(train) [44][2000/5005] lr: 1.0000e-02 eta: 13:52:31 time: 0.1706 data_time: 0.0020 loss: 1.3826 03/10 20:31:16 - mmengine - INFO - Epoch(train) [44][2100/5005] lr: 1.0000e-02 eta: 13:52:13 time: 0.1692 data_time: 0.0021 loss: 1.3487 03/10 20:31:33 - mmengine - INFO - Epoch(train) [44][2200/5005] lr: 1.0000e-02 eta: 13:51:54 time: 0.1915 data_time: 0.0021 loss: 1.3512 03/10 20:31:50 - mmengine - INFO - Epoch(train) [44][2300/5005] lr: 1.0000e-02 eta: 13:51:36 time: 0.1828 data_time: 0.0020 loss: 1.4105 03/10 20:32:08 - mmengine - INFO - Epoch(train) [44][2400/5005] lr: 1.0000e-02 eta: 13:51:18 time: 0.1709 data_time: 0.0021 loss: 1.4336 03/10 20:32:25 - mmengine - INFO - Epoch(train) [44][2500/5005] lr: 1.0000e-02 eta: 13:51:00 time: 0.1688 data_time: 0.0021 loss: 1.3721 03/10 20:32:42 - mmengine - INFO - Epoch(train) [44][2600/5005] lr: 1.0000e-02 eta: 13:50:42 time: 0.1705 data_time: 0.0022 loss: 1.2528 03/10 20:32:59 - mmengine - INFO - Epoch(train) [44][2700/5005] lr: 1.0000e-02 eta: 13:50:23 time: 0.1695 data_time: 0.0023 loss: 1.2818 03/10 20:33:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:33:17 - mmengine - INFO - Epoch(train) [44][2800/5005] lr: 1.0000e-02 eta: 13:50:05 time: 0.1708 data_time: 0.0021 loss: 1.3119 03/10 20:33:34 - mmengine - INFO - Epoch(train) [44][2900/5005] lr: 1.0000e-02 eta: 13:49:47 time: 0.1884 data_time: 0.0021 loss: 1.3417 03/10 20:33:52 - mmengine - INFO - Epoch(train) [44][3000/5005] lr: 1.0000e-02 eta: 13:49:29 time: 0.1703 data_time: 0.0022 loss: 1.3858 03/10 20:34:09 - mmengine - INFO - Epoch(train) [44][3100/5005] lr: 1.0000e-02 eta: 13:49:11 time: 0.1694 data_time: 0.0021 loss: 1.3412 03/10 20:34:27 - mmengine - INFO - Epoch(train) [44][3200/5005] lr: 1.0000e-02 eta: 13:48:53 time: 0.1699 data_time: 0.0021 loss: 1.4569 03/10 20:34:44 - mmengine - INFO - Epoch(train) [44][3300/5005] lr: 1.0000e-02 eta: 13:48:34 time: 0.1680 data_time: 0.0022 loss: 1.4029 03/10 20:35:01 - mmengine - INFO - Epoch(train) [44][3400/5005] lr: 1.0000e-02 eta: 13:48:16 time: 0.1688 data_time: 0.0023 loss: 1.5372 03/10 20:35:18 - mmengine - INFO - Epoch(train) [44][3500/5005] lr: 1.0000e-02 eta: 13:47:58 time: 0.1688 data_time: 0.0022 loss: 1.5261 03/10 20:35:36 - mmengine - INFO - Epoch(train) [44][3600/5005] lr: 1.0000e-02 eta: 13:47:40 time: 0.1668 data_time: 0.0024 loss: 1.4229 03/10 20:35:53 - mmengine - INFO - Epoch(train) [44][3700/5005] lr: 1.0000e-02 eta: 13:47:22 time: 0.1884 data_time: 0.0022 loss: 1.5501 03/10 20:36:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:36:10 - mmengine - INFO - Epoch(train) [44][3800/5005] lr: 1.0000e-02 eta: 13:47:04 time: 0.1671 data_time: 0.0023 loss: 1.5357 03/10 20:36:27 - mmengine - INFO - Epoch(train) [44][3900/5005] lr: 1.0000e-02 eta: 13:46:45 time: 0.1695 data_time: 0.0022 loss: 1.5336 03/10 20:36:44 - mmengine - INFO - Epoch(train) [44][4000/5005] lr: 1.0000e-02 eta: 13:46:27 time: 0.1694 data_time: 0.0021 loss: 1.4554 03/10 20:37:02 - mmengine - INFO - Epoch(train) [44][4100/5005] lr: 1.0000e-02 eta: 13:46:09 time: 0.1696 data_time: 0.0023 loss: 1.1806 03/10 20:37:19 - mmengine - INFO - Epoch(train) [44][4200/5005] lr: 1.0000e-02 eta: 13:45:51 time: 0.1694 data_time: 0.0021 loss: 1.4995 03/10 20:37:37 - mmengine - INFO - Epoch(train) [44][4300/5005] lr: 1.0000e-02 eta: 13:45:33 time: 0.1673 data_time: 0.0021 loss: 1.4871 03/10 20:37:54 - mmengine - INFO - Epoch(train) [44][4400/5005] lr: 1.0000e-02 eta: 13:45:15 time: 0.1683 data_time: 0.0021 loss: 1.3762 03/10 20:38:11 - mmengine - INFO - Epoch(train) [44][4500/5005] lr: 1.0000e-02 eta: 13:44:56 time: 0.1688 data_time: 0.0023 loss: 1.4438 03/10 20:38:28 - mmengine - INFO - Epoch(train) [44][4600/5005] lr: 1.0000e-02 eta: 13:44:38 time: 0.1692 data_time: 0.0022 loss: 1.4281 03/10 20:38:46 - mmengine - INFO - Epoch(train) [44][4700/5005] lr: 1.0000e-02 eta: 13:44:20 time: 0.1716 data_time: 0.0024 loss: 1.3724 03/10 20:39:00 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:39:03 - mmengine - INFO - Epoch(train) [44][4800/5005] lr: 1.0000e-02 eta: 13:44:02 time: 0.1704 data_time: 0.0022 loss: 1.4436 03/10 20:39:20 - mmengine - INFO - Epoch(train) [44][4900/5005] lr: 1.0000e-02 eta: 13:43:43 time: 0.1691 data_time: 0.0020 loss: 1.4889 03/10 20:39:36 - mmengine - INFO - Epoch(train) [44][5000/5005] lr: 1.0000e-02 eta: 13:43:24 time: 0.1667 data_time: 0.0023 loss: 1.4720 03/10 20:39:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:39:42 - mmengine - INFO - Saving checkpoint at 44 epochs 03/10 20:40:02 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:00:18 time: 0.0171 data_time: 0.0004 03/10 20:40:16 - mmengine - INFO - Epoch(val) [44][196/196] accuracy/top1: 71.1320 accuracy/top5: 90.6160 03/10 20:40:52 - mmengine - INFO - Epoch(train) [45][ 100/5005] lr: 1.0000e-02 eta: 13:43:29 time: 0.1705 data_time: 0.0022 loss: 1.1944 03/10 20:41:10 - mmengine - INFO - Epoch(train) [45][ 200/5005] lr: 1.0000e-02 eta: 13:43:11 time: 0.1728 data_time: 0.0026 loss: 1.3984 03/10 20:41:28 - mmengine - INFO - Epoch(train) [45][ 300/5005] lr: 1.0000e-02 eta: 13:42:54 time: 0.1719 data_time: 0.0027 loss: 1.3661 03/10 20:41:45 - mmengine - INFO - Epoch(train) [45][ 400/5005] lr: 1.0000e-02 eta: 13:42:36 time: 0.1722 data_time: 0.0021 loss: 1.2531 03/10 20:42:03 - mmengine - INFO - Epoch(train) [45][ 500/5005] lr: 1.0000e-02 eta: 13:42:18 time: 0.1712 data_time: 0.0023 loss: 1.2497 03/10 20:42:20 - mmengine - INFO - Epoch(train) [45][ 600/5005] lr: 1.0000e-02 eta: 13:42:00 time: 0.1702 data_time: 0.0023 loss: 1.3184 03/10 20:42:38 - mmengine - INFO - Epoch(train) [45][ 700/5005] lr: 1.0000e-02 eta: 13:41:42 time: 0.1735 data_time: 0.0026 loss: 1.3681 03/10 20:42:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:42:55 - mmengine - INFO - Epoch(train) [45][ 800/5005] lr: 1.0000e-02 eta: 13:41:24 time: 0.1690 data_time: 0.0024 loss: 1.3994 03/10 20:43:13 - mmengine - INFO - Epoch(train) [45][ 900/5005] lr: 1.0000e-02 eta: 13:41:07 time: 0.1694 data_time: 0.0023 loss: 1.3407 03/10 20:43:30 - mmengine - INFO - Epoch(train) [45][1000/5005] lr: 1.0000e-02 eta: 13:40:48 time: 0.1690 data_time: 0.0021 loss: 1.4198 03/10 20:43:48 - mmengine - INFO - Epoch(train) [45][1100/5005] lr: 1.0000e-02 eta: 13:40:30 time: 0.1677 data_time: 0.0021 loss: 1.6262 03/10 20:44:05 - mmengine - INFO - Epoch(train) [45][1200/5005] lr: 1.0000e-02 eta: 13:40:12 time: 0.1724 data_time: 0.0025 loss: 1.3895 03/10 20:44:22 - mmengine - INFO - Epoch(train) [45][1300/5005] lr: 1.0000e-02 eta: 13:39:54 time: 0.1686 data_time: 0.0023 loss: 1.3297 03/10 20:44:40 - mmengine - INFO - Epoch(train) [45][1400/5005] lr: 1.0000e-02 eta: 13:39:36 time: 0.1712 data_time: 0.0022 loss: 1.2287 03/10 20:44:57 - mmengine - INFO - Epoch(train) [45][1500/5005] lr: 1.0000e-02 eta: 13:39:18 time: 0.1709 data_time: 0.0022 loss: 1.3941 03/10 20:45:15 - mmengine - INFO - Epoch(train) [45][1600/5005] lr: 1.0000e-02 eta: 13:39:01 time: 0.1695 data_time: 0.0024 loss: 1.4073 03/10 20:45:32 - mmengine - INFO - Epoch(train) [45][1700/5005] lr: 1.0000e-02 eta: 13:38:42 time: 0.1688 data_time: 0.0021 loss: 1.5203 03/10 20:45:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:45:49 - mmengine - INFO - Epoch(train) [45][1800/5005] lr: 1.0000e-02 eta: 13:38:24 time: 0.1710 data_time: 0.0024 loss: 1.1460 03/10 20:46:07 - mmengine - INFO - Epoch(train) [45][1900/5005] lr: 1.0000e-02 eta: 13:38:06 time: 0.1719 data_time: 0.0021 loss: 1.3631 03/10 20:46:24 - mmengine - INFO - Epoch(train) [45][2000/5005] lr: 1.0000e-02 eta: 13:37:48 time: 0.1701 data_time: 0.0022 loss: 1.2766 03/10 20:46:42 - mmengine - INFO - Epoch(train) [45][2100/5005] lr: 1.0000e-02 eta: 13:37:30 time: 0.1730 data_time: 0.0021 loss: 1.3381 03/10 20:46:59 - mmengine - INFO - Epoch(train) [45][2200/5005] lr: 1.0000e-02 eta: 13:37:12 time: 0.1707 data_time: 0.0023 loss: 1.0821 03/10 20:47:16 - mmengine - INFO - Epoch(train) [45][2300/5005] lr: 1.0000e-02 eta: 13:36:54 time: 0.1699 data_time: 0.0022 loss: 1.4309 03/10 20:47:34 - mmengine - INFO - Epoch(train) [45][2400/5005] lr: 1.0000e-02 eta: 13:36:36 time: 0.1897 data_time: 0.0022 loss: 1.3792 03/10 20:47:51 - mmengine - INFO - Epoch(train) [45][2500/5005] lr: 1.0000e-02 eta: 13:36:17 time: 0.1687 data_time: 0.0024 loss: 1.2531 03/10 20:48:08 - mmengine - INFO - Epoch(train) [45][2600/5005] lr: 1.0000e-02 eta: 13:35:59 time: 0.1858 data_time: 0.0022 loss: 1.5280 03/10 20:48:26 - mmengine - INFO - Epoch(train) [45][2700/5005] lr: 1.0000e-02 eta: 13:35:42 time: 0.1677 data_time: 0.0021 loss: 1.2651 03/10 20:48:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:48:43 - mmengine - INFO - Epoch(train) [45][2800/5005] lr: 1.0000e-02 eta: 13:35:24 time: 0.1694 data_time: 0.0024 loss: 1.3605 03/10 20:49:00 - mmengine - INFO - Epoch(train) [45][2900/5005] lr: 1.0000e-02 eta: 13:35:05 time: 0.1724 data_time: 0.0023 loss: 1.3596 03/10 20:49:18 - mmengine - INFO - Epoch(train) [45][3000/5005] lr: 1.0000e-02 eta: 13:34:47 time: 0.1705 data_time: 0.0022 loss: 1.5304 03/10 20:49:35 - mmengine - INFO - Epoch(train) [45][3100/5005] lr: 1.0000e-02 eta: 13:34:29 time: 0.1907 data_time: 0.0026 loss: 1.3604 03/10 20:49:53 - mmengine - INFO - Epoch(train) [45][3200/5005] lr: 1.0000e-02 eta: 13:34:11 time: 0.1714 data_time: 0.0025 loss: 1.3546 03/10 20:50:10 - mmengine - INFO - Epoch(train) [45][3300/5005] lr: 1.0000e-02 eta: 13:33:53 time: 0.1706 data_time: 0.0021 loss: 1.3948 03/10 20:50:27 - mmengine - INFO - Epoch(train) [45][3400/5005] lr: 1.0000e-02 eta: 13:33:35 time: 0.1690 data_time: 0.0021 loss: 1.2738 03/10 20:50:45 - mmengine - INFO - Epoch(train) [45][3500/5005] lr: 1.0000e-02 eta: 13:33:17 time: 0.1696 data_time: 0.0023 loss: 1.3622 03/10 20:51:02 - mmengine - INFO - Epoch(train) [45][3600/5005] lr: 1.0000e-02 eta: 13:32:59 time: 0.1709 data_time: 0.0022 loss: 1.5986 03/10 20:51:19 - mmengine - INFO - Epoch(train) [45][3700/5005] lr: 1.0000e-02 eta: 13:32:40 time: 0.1689 data_time: 0.0024 loss: 1.4661 03/10 20:51:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:51:37 - mmengine - INFO - Epoch(train) [45][3800/5005] lr: 1.0000e-02 eta: 13:32:22 time: 0.1811 data_time: 0.0022 loss: 1.5968 03/10 20:51:54 - mmengine - INFO - Epoch(train) [45][3900/5005] lr: 1.0000e-02 eta: 13:32:05 time: 0.1688 data_time: 0.0024 loss: 1.4670 03/10 20:52:11 - mmengine - INFO - Epoch(train) [45][4000/5005] lr: 1.0000e-02 eta: 13:31:46 time: 0.1685 data_time: 0.0022 loss: 1.5104 03/10 20:52:29 - mmengine - INFO - Epoch(train) [45][4100/5005] lr: 1.0000e-02 eta: 13:31:28 time: 0.1697 data_time: 0.0022 loss: 1.5294 03/10 20:52:46 - mmengine - INFO - Epoch(train) [45][4200/5005] lr: 1.0000e-02 eta: 13:31:10 time: 0.1693 data_time: 0.0025 loss: 1.3745 03/10 20:53:03 - mmengine - INFO - Epoch(train) [45][4300/5005] lr: 1.0000e-02 eta: 13:30:51 time: 0.1684 data_time: 0.0021 loss: 1.3396 03/10 20:53:21 - mmengine - INFO - Epoch(train) [45][4400/5005] lr: 1.0000e-02 eta: 13:30:34 time: 0.1685 data_time: 0.0023 loss: 1.3462 03/10 20:53:38 - mmengine - INFO - Epoch(train) [45][4500/5005] lr: 1.0000e-02 eta: 13:30:16 time: 0.1682 data_time: 0.0023 loss: 1.5422 03/10 20:53:55 - mmengine - INFO - Epoch(train) [45][4600/5005] lr: 1.0000e-02 eta: 13:29:58 time: 0.1703 data_time: 0.0022 loss: 1.2645 03/10 20:54:13 - mmengine - INFO - Epoch(train) [45][4700/5005] lr: 1.0000e-02 eta: 13:29:40 time: 0.1857 data_time: 0.0022 loss: 1.2575 03/10 20:54:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:54:30 - mmengine - INFO - Epoch(train) [45][4800/5005] lr: 1.0000e-02 eta: 13:29:21 time: 0.1725 data_time: 0.0024 loss: 1.5145 03/10 20:54:47 - mmengine - INFO - Epoch(train) [45][4900/5005] lr: 1.0000e-02 eta: 13:29:03 time: 0.1691 data_time: 0.0020 loss: 1.5304 03/10 20:55:04 - mmengine - INFO - Epoch(train) [45][5000/5005] lr: 1.0000e-02 eta: 13:28:44 time: 0.1680 data_time: 0.0024 loss: 1.6006 03/10 20:55:05 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:55:09 - mmengine - INFO - Saving checkpoint at 45 epochs 03/10 20:55:30 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:00:18 time: 0.0164 data_time: 0.0004 03/10 20:55:44 - mmengine - INFO - Epoch(val) [45][196/196] accuracy/top1: 70.9980 accuracy/top5: 90.4140 03/10 20:56:20 - mmengine - INFO - Epoch(train) [46][ 100/5005] lr: 1.0000e-02 eta: 13:28:48 time: 0.1751 data_time: 0.0025 loss: 1.3202 03/10 20:56:38 - mmengine - INFO - Epoch(train) [46][ 200/5005] lr: 1.0000e-02 eta: 13:28:30 time: 0.1941 data_time: 0.0027 loss: 1.4251 03/10 20:56:55 - mmengine - INFO - Epoch(train) [46][ 300/5005] lr: 1.0000e-02 eta: 13:28:12 time: 0.1711 data_time: 0.0033 loss: 1.4678 03/10 20:57:12 - mmengine - INFO - Epoch(train) [46][ 400/5005] lr: 1.0000e-02 eta: 13:27:53 time: 0.1697 data_time: 0.0028 loss: 1.3732 03/10 20:57:30 - mmengine - INFO - Epoch(train) [46][ 500/5005] lr: 1.0000e-02 eta: 13:27:36 time: 0.1684 data_time: 0.0023 loss: 1.3697 03/10 20:57:47 - mmengine - INFO - Epoch(train) [46][ 600/5005] lr: 1.0000e-02 eta: 13:27:17 time: 0.1868 data_time: 0.0024 loss: 1.5854 03/10 20:58:05 - mmengine - INFO - Epoch(train) [46][ 700/5005] lr: 1.0000e-02 eta: 13:27:00 time: 0.1693 data_time: 0.0021 loss: 1.4062 03/10 20:58:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 20:58:22 - mmengine - INFO - Epoch(train) [46][ 800/5005] lr: 1.0000e-02 eta: 13:26:42 time: 0.1694 data_time: 0.0021 loss: 1.2655 03/10 20:58:40 - mmengine - INFO - Epoch(train) [46][ 900/5005] lr: 1.0000e-02 eta: 13:26:24 time: 0.1692 data_time: 0.0022 loss: 1.5906 03/10 20:58:57 - mmengine - INFO - Epoch(train) [46][1000/5005] lr: 1.0000e-02 eta: 13:26:06 time: 0.1893 data_time: 0.0021 loss: 1.4365 03/10 20:59:14 - mmengine - INFO - Epoch(train) [46][1100/5005] lr: 1.0000e-02 eta: 13:25:48 time: 0.1701 data_time: 0.0022 loss: 1.3669 03/10 20:59:31 - mmengine - INFO - Epoch(train) [46][1200/5005] lr: 1.0000e-02 eta: 13:25:29 time: 0.1692 data_time: 0.0024 loss: 1.4305 03/10 20:59:49 - mmengine - INFO - Epoch(train) [46][1300/5005] lr: 1.0000e-02 eta: 13:25:12 time: 0.1722 data_time: 0.0024 loss: 1.2909 03/10 21:00:07 - mmengine - INFO - Epoch(train) [46][1400/5005] lr: 1.0000e-02 eta: 13:24:54 time: 0.1856 data_time: 0.0023 loss: 1.3818 03/10 21:00:24 - mmengine - INFO - Epoch(train) [46][1500/5005] lr: 1.0000e-02 eta: 13:24:36 time: 0.1711 data_time: 0.0021 loss: 1.2873 03/10 21:00:41 - mmengine - INFO - Epoch(train) [46][1600/5005] lr: 1.0000e-02 eta: 13:24:17 time: 0.1712 data_time: 0.0021 loss: 1.3519 03/10 21:00:58 - mmengine - INFO - Epoch(train) [46][1700/5005] lr: 1.0000e-02 eta: 13:23:59 time: 0.1704 data_time: 0.0024 loss: 1.5705 03/10 21:01:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:01:16 - mmengine - INFO - Epoch(train) [46][1800/5005] lr: 1.0000e-02 eta: 13:23:41 time: 0.1681 data_time: 0.0022 loss: 1.3013 03/10 21:01:33 - mmengine - INFO - Epoch(train) [46][1900/5005] lr: 1.0000e-02 eta: 13:23:23 time: 0.1704 data_time: 0.0024 loss: 1.4754 03/10 21:01:50 - mmengine - INFO - Epoch(train) [46][2000/5005] lr: 1.0000e-02 eta: 13:23:05 time: 0.1708 data_time: 0.0021 loss: 1.3886 03/10 21:02:08 - mmengine - INFO - Epoch(train) [46][2100/5005] lr: 1.0000e-02 eta: 13:22:47 time: 0.1697 data_time: 0.0024 loss: 1.2755 03/10 21:02:25 - mmengine - INFO - Epoch(train) [46][2200/5005] lr: 1.0000e-02 eta: 13:22:29 time: 0.1882 data_time: 0.0023 loss: 1.4138 03/10 21:02:42 - mmengine - INFO - Epoch(train) [46][2300/5005] lr: 1.0000e-02 eta: 13:22:11 time: 0.1719 data_time: 0.0022 loss: 1.4369 03/10 21:03:00 - mmengine - INFO - Epoch(train) [46][2400/5005] lr: 1.0000e-02 eta: 13:21:53 time: 0.1699 data_time: 0.0023 loss: 1.4206 03/10 21:03:17 - mmengine - INFO - Epoch(train) [46][2500/5005] lr: 1.0000e-02 eta: 13:21:35 time: 0.1892 data_time: 0.0022 loss: 1.3174 03/10 21:03:34 - mmengine - INFO - Epoch(train) [46][2600/5005] lr: 1.0000e-02 eta: 13:21:16 time: 0.1701 data_time: 0.0022 loss: 1.3063 03/10 21:03:51 - mmengine - INFO - Epoch(train) [46][2700/5005] lr: 1.0000e-02 eta: 13:20:58 time: 0.1694 data_time: 0.0023 loss: 1.3660 03/10 21:04:04 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:04:09 - mmengine - INFO - Epoch(train) [46][2800/5005] lr: 1.0000e-02 eta: 13:20:40 time: 0.1691 data_time: 0.0023 loss: 1.2815 03/10 21:04:26 - mmengine - INFO - Epoch(train) [46][2900/5005] lr: 1.0000e-02 eta: 13:20:22 time: 0.1695 data_time: 0.0023 loss: 1.4995 03/10 21:04:44 - mmengine - INFO - Epoch(train) [46][3000/5005] lr: 1.0000e-02 eta: 13:20:04 time: 0.1835 data_time: 0.0023 loss: 1.3071 03/10 21:05:01 - mmengine - INFO - Epoch(train) [46][3100/5005] lr: 1.0000e-02 eta: 13:19:46 time: 0.1713 data_time: 0.0025 loss: 1.4002 03/10 21:05:18 - mmengine - INFO - Epoch(train) [46][3200/5005] lr: 1.0000e-02 eta: 13:19:28 time: 0.1695 data_time: 0.0024 loss: 1.3441 03/10 21:05:35 - mmengine - INFO - Epoch(train) [46][3300/5005] lr: 1.0000e-02 eta: 13:19:09 time: 0.1707 data_time: 0.0024 loss: 1.4859 03/10 21:05:53 - mmengine - INFO - Epoch(train) [46][3400/5005] lr: 1.0000e-02 eta: 13:18:52 time: 0.1696 data_time: 0.0026 loss: 1.3887 03/10 21:06:10 - mmengine - INFO - Epoch(train) [46][3500/5005] lr: 1.0000e-02 eta: 13:18:33 time: 0.1682 data_time: 0.0022 loss: 1.2855 03/10 21:06:28 - mmengine - INFO - Epoch(train) [46][3600/5005] lr: 1.0000e-02 eta: 13:18:16 time: 0.1732 data_time: 0.0023 loss: 1.2418 03/10 21:06:45 - mmengine - INFO - Epoch(train) [46][3700/5005] lr: 1.0000e-02 eta: 13:17:58 time: 0.1704 data_time: 0.0025 loss: 1.2484 03/10 21:06:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:07:03 - mmengine - INFO - Epoch(train) [46][3800/5005] lr: 1.0000e-02 eta: 13:17:40 time: 0.1715 data_time: 0.0026 loss: 1.5101 03/10 21:07:20 - mmengine - INFO - Epoch(train) [46][3900/5005] lr: 1.0000e-02 eta: 13:17:21 time: 0.1693 data_time: 0.0024 loss: 1.3949 03/10 21:07:37 - mmengine - INFO - Epoch(train) [46][4000/5005] lr: 1.0000e-02 eta: 13:17:03 time: 0.1704 data_time: 0.0023 loss: 1.2313 03/10 21:07:54 - mmengine - INFO - Epoch(train) [46][4100/5005] lr: 1.0000e-02 eta: 13:16:45 time: 0.1697 data_time: 0.0024 loss: 1.6788 03/10 21:08:12 - mmengine - INFO - Epoch(train) [46][4200/5005] lr: 1.0000e-02 eta: 13:16:27 time: 0.1705 data_time: 0.0024 loss: 1.6332 03/10 21:08:29 - mmengine - INFO - Epoch(train) [46][4300/5005] lr: 1.0000e-02 eta: 13:16:09 time: 0.1707 data_time: 0.0023 loss: 1.3525 03/10 21:08:47 - mmengine - INFO - Epoch(train) [46][4400/5005] lr: 1.0000e-02 eta: 13:15:51 time: 0.1721 data_time: 0.0022 loss: 1.2735 03/10 21:09:04 - mmengine - INFO - Epoch(train) [46][4500/5005] lr: 1.0000e-02 eta: 13:15:33 time: 0.1910 data_time: 0.0023 loss: 1.3548 03/10 21:09:21 - mmengine - INFO - Epoch(train) [46][4600/5005] lr: 1.0000e-02 eta: 13:15:15 time: 0.1714 data_time: 0.0025 loss: 1.4842 03/10 21:09:39 - mmengine - INFO - Epoch(train) [46][4700/5005] lr: 1.0000e-02 eta: 13:14:57 time: 0.1922 data_time: 0.0023 loss: 1.3778 03/10 21:09:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:09:56 - mmengine - INFO - Epoch(train) [46][4800/5005] lr: 1.0000e-02 eta: 13:14:39 time: 0.1665 data_time: 0.0021 loss: 1.1948 03/10 21:10:13 - mmengine - INFO - Epoch(train) [46][4900/5005] lr: 1.0000e-02 eta: 13:14:20 time: 0.1683 data_time: 0.0023 loss: 1.6636 03/10 21:10:30 - mmengine - INFO - Epoch(train) [46][5000/5005] lr: 1.0000e-02 eta: 13:14:02 time: 0.1656 data_time: 0.0021 loss: 1.2649 03/10 21:10:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:10:36 - mmengine - INFO - Saving checkpoint at 46 epochs 03/10 21:10:56 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:00:18 time: 0.0170 data_time: 0.0004 03/10 21:11:10 - mmengine - INFO - Epoch(val) [46][196/196] accuracy/top1: 71.1640 accuracy/top5: 90.3340 03/10 21:11:48 - mmengine - INFO - Epoch(train) [47][ 100/5005] lr: 1.0000e-02 eta: 13:14:06 time: 0.1704 data_time: 0.0025 loss: 1.2022 03/10 21:12:05 - mmengine - INFO - Epoch(train) [47][ 200/5005] lr: 1.0000e-02 eta: 13:13:47 time: 0.1682 data_time: 0.0022 loss: 1.2575 03/10 21:12:22 - mmengine - INFO - Epoch(train) [47][ 300/5005] lr: 1.0000e-02 eta: 13:13:30 time: 0.1742 data_time: 0.0022 loss: 1.4348 03/10 21:12:40 - mmengine - INFO - Epoch(train) [47][ 400/5005] lr: 1.0000e-02 eta: 13:13:12 time: 0.1706 data_time: 0.0023 loss: 1.5107 03/10 21:12:58 - mmengine - INFO - Epoch(train) [47][ 500/5005] lr: 1.0000e-02 eta: 13:12:55 time: 0.1757 data_time: 0.0027 loss: 1.3612 03/10 21:13:15 - mmengine - INFO - Epoch(train) [47][ 600/5005] lr: 1.0000e-02 eta: 13:12:36 time: 0.1679 data_time: 0.0024 loss: 1.2319 03/10 21:13:33 - mmengine - INFO - Epoch(train) [47][ 700/5005] lr: 1.0000e-02 eta: 13:12:19 time: 0.1687 data_time: 0.0025 loss: 1.3987 03/10 21:13:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:13:51 - mmengine - INFO - Epoch(train) [47][ 800/5005] lr: 1.0000e-02 eta: 13:12:01 time: 0.2073 data_time: 0.0022 loss: 1.3114 03/10 21:14:08 - mmengine - INFO - Epoch(train) [47][ 900/5005] lr: 1.0000e-02 eta: 13:11:43 time: 0.1741 data_time: 0.0025 loss: 1.4011 03/10 21:14:25 - mmengine - INFO - Epoch(train) [47][1000/5005] lr: 1.0000e-02 eta: 13:11:25 time: 0.1733 data_time: 0.0023 loss: 1.3097 03/10 21:14:43 - mmengine - INFO - Epoch(train) [47][1100/5005] lr: 1.0000e-02 eta: 13:11:07 time: 0.1949 data_time: 0.0023 loss: 1.4438 03/10 21:15:01 - mmengine - INFO - Epoch(train) [47][1200/5005] lr: 1.0000e-02 eta: 13:10:49 time: 0.1686 data_time: 0.0024 loss: 1.4225 03/10 21:15:18 - mmengine - INFO - Epoch(train) [47][1300/5005] lr: 1.0000e-02 eta: 13:10:31 time: 0.1697 data_time: 0.0025 loss: 1.3663 03/10 21:15:35 - mmengine - INFO - Epoch(train) [47][1400/5005] lr: 1.0000e-02 eta: 13:10:13 time: 0.1700 data_time: 0.0021 loss: 1.5437 03/10 21:15:53 - mmengine - INFO - Epoch(train) [47][1500/5005] lr: 1.0000e-02 eta: 13:09:55 time: 0.1713 data_time: 0.0022 loss: 1.4533 03/10 21:16:10 - mmengine - INFO - Epoch(train) [47][1600/5005] lr: 1.0000e-02 eta: 13:09:37 time: 0.1683 data_time: 0.0025 loss: 1.2911 03/10 21:16:27 - mmengine - INFO - Epoch(train) [47][1700/5005] lr: 1.0000e-02 eta: 13:09:19 time: 0.1710 data_time: 0.0023 loss: 1.2243 03/10 21:16:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:16:45 - mmengine - INFO - Epoch(train) [47][1800/5005] lr: 1.0000e-02 eta: 13:09:01 time: 0.1734 data_time: 0.0026 loss: 1.3370 03/10 21:17:02 - mmengine - INFO - Epoch(train) [47][1900/5005] lr: 1.0000e-02 eta: 13:08:43 time: 0.1693 data_time: 0.0024 loss: 1.5375 03/10 21:17:19 - mmengine - INFO - Epoch(train) [47][2000/5005] lr: 1.0000e-02 eta: 13:08:25 time: 0.1872 data_time: 0.0025 loss: 1.3991 03/10 21:17:37 - mmengine - INFO - Epoch(train) [47][2100/5005] lr: 1.0000e-02 eta: 13:08:07 time: 0.1679 data_time: 0.0025 loss: 1.5421 03/10 21:17:54 - mmengine - INFO - Epoch(train) [47][2200/5005] lr: 1.0000e-02 eta: 13:07:49 time: 0.1678 data_time: 0.0021 loss: 1.2493 03/10 21:18:11 - mmengine - INFO - Epoch(train) [47][2300/5005] lr: 1.0000e-02 eta: 13:07:30 time: 0.1713 data_time: 0.0022 loss: 1.4619 03/10 21:18:29 - mmengine - INFO - Epoch(train) [47][2400/5005] lr: 1.0000e-02 eta: 13:07:13 time: 0.1710 data_time: 0.0025 loss: 1.6497 03/10 21:18:46 - mmengine - INFO - Epoch(train) [47][2500/5005] lr: 1.0000e-02 eta: 13:06:55 time: 0.1716 data_time: 0.0023 loss: 1.4309 03/10 21:19:04 - mmengine - INFO - Epoch(train) [47][2600/5005] lr: 1.0000e-02 eta: 13:06:36 time: 0.1696 data_time: 0.0023 loss: 1.3780 03/10 21:19:21 - mmengine - INFO - Epoch(train) [47][2700/5005] lr: 1.0000e-02 eta: 13:06:18 time: 0.1708 data_time: 0.0023 loss: 1.3569 03/10 21:19:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:19:38 - mmengine - INFO - Epoch(train) [47][2800/5005] lr: 1.0000e-02 eta: 13:06:00 time: 0.1715 data_time: 0.0023 loss: 1.4419 03/10 21:19:55 - mmengine - INFO - Epoch(train) [47][2900/5005] lr: 1.0000e-02 eta: 13:05:42 time: 0.1698 data_time: 0.0022 loss: 1.5747 03/10 21:20:13 - mmengine - INFO - Epoch(train) [47][3000/5005] lr: 1.0000e-02 eta: 13:05:24 time: 0.1693 data_time: 0.0021 loss: 1.3865 03/10 21:20:30 - mmengine - INFO - Epoch(train) [47][3100/5005] lr: 1.0000e-02 eta: 13:05:06 time: 0.1891 data_time: 0.0022 loss: 1.8445 03/10 21:20:47 - mmengine - INFO - Epoch(train) [47][3200/5005] lr: 1.0000e-02 eta: 13:04:48 time: 0.1678 data_time: 0.0021 loss: 1.5814 03/10 21:21:05 - mmengine - INFO - Epoch(train) [47][3300/5005] lr: 1.0000e-02 eta: 13:04:30 time: 0.1846 data_time: 0.0023 loss: 1.3668 03/10 21:21:22 - mmengine - INFO - Epoch(train) [47][3400/5005] lr: 1.0000e-02 eta: 13:04:12 time: 0.1684 data_time: 0.0022 loss: 1.4286 03/10 21:21:39 - mmengine - INFO - Epoch(train) [47][3500/5005] lr: 1.0000e-02 eta: 13:03:53 time: 0.1709 data_time: 0.0022 loss: 1.3373 03/10 21:21:57 - mmengine - INFO - Epoch(train) [47][3600/5005] lr: 1.0000e-02 eta: 13:03:35 time: 0.1687 data_time: 0.0022 loss: 1.4042 03/10 21:22:14 - mmengine - INFO - Epoch(train) [47][3700/5005] lr: 1.0000e-02 eta: 13:03:17 time: 0.1680 data_time: 0.0023 loss: 1.4995 03/10 21:22:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:22:31 - mmengine - INFO - Epoch(train) [47][3800/5005] lr: 1.0000e-02 eta: 13:02:59 time: 0.1695 data_time: 0.0022 loss: 1.2667 03/10 21:22:48 - mmengine - INFO - Epoch(train) [47][3900/5005] lr: 1.0000e-02 eta: 13:02:41 time: 0.1850 data_time: 0.0021 loss: 1.3547 03/10 21:23:06 - mmengine - INFO - Epoch(train) [47][4000/5005] lr: 1.0000e-02 eta: 13:02:23 time: 0.1721 data_time: 0.0023 loss: 1.3136 03/10 21:23:23 - mmengine - INFO - Epoch(train) [47][4100/5005] lr: 1.0000e-02 eta: 13:02:05 time: 0.1700 data_time: 0.0023 loss: 1.4041 03/10 21:23:41 - mmengine - INFO - Epoch(train) [47][4200/5005] lr: 1.0000e-02 eta: 13:01:47 time: 0.1696 data_time: 0.0024 loss: 1.4312 03/10 21:23:58 - mmengine - INFO - Epoch(train) [47][4300/5005] lr: 1.0000e-02 eta: 13:01:28 time: 0.1694 data_time: 0.0021 loss: 1.4211 03/10 21:24:15 - mmengine - INFO - Epoch(train) [47][4400/5005] lr: 1.0000e-02 eta: 13:01:11 time: 0.1878 data_time: 0.0021 loss: 1.2927 03/10 21:24:32 - mmengine - INFO - Epoch(train) [47][4500/5005] lr: 1.0000e-02 eta: 13:00:52 time: 0.1709 data_time: 0.0022 loss: 1.4137 03/10 21:24:50 - mmengine - INFO - Epoch(train) [47][4600/5005] lr: 1.0000e-02 eta: 13:00:34 time: 0.1705 data_time: 0.0024 loss: 1.1881 03/10 21:25:07 - mmengine - INFO - Epoch(train) [47][4700/5005] lr: 1.0000e-02 eta: 13:00:16 time: 0.1715 data_time: 0.0022 loss: 1.6222 03/10 21:25:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:25:24 - mmengine - INFO - Epoch(train) [47][4800/5005] lr: 1.0000e-02 eta: 12:59:58 time: 0.1678 data_time: 0.0024 loss: 1.4748 03/10 21:25:41 - mmengine - INFO - Epoch(train) [47][4900/5005] lr: 1.0000e-02 eta: 12:59:39 time: 0.1676 data_time: 0.0022 loss: 1.3211 03/10 21:25:58 - mmengine - INFO - Epoch(train) [47][5000/5005] lr: 1.0000e-02 eta: 12:59:21 time: 0.1678 data_time: 0.0020 loss: 1.3559 03/10 21:25:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:26:04 - mmengine - INFO - Saving checkpoint at 47 epochs 03/10 21:26:24 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:00:18 time: 0.0187 data_time: 0.0004 03/10 21:26:38 - mmengine - INFO - Epoch(val) [47][196/196] accuracy/top1: 71.0420 accuracy/top5: 90.4560 03/10 21:27:16 - mmengine - INFO - Epoch(train) [48][ 100/5005] lr: 1.0000e-02 eta: 12:59:25 time: 0.1665 data_time: 0.0028 loss: 1.3853 03/10 21:27:33 - mmengine - INFO - Epoch(train) [48][ 200/5005] lr: 1.0000e-02 eta: 12:59:07 time: 0.1709 data_time: 0.0026 loss: 1.2031 03/10 21:27:51 - mmengine - INFO - Epoch(train) [48][ 300/5005] lr: 1.0000e-02 eta: 12:58:49 time: 0.1907 data_time: 0.0025 loss: 1.2661 03/10 21:28:08 - mmengine - INFO - Epoch(train) [48][ 400/5005] lr: 1.0000e-02 eta: 12:58:31 time: 0.1665 data_time: 0.0024 loss: 1.3929 03/10 21:28:26 - mmengine - INFO - Epoch(train) [48][ 500/5005] lr: 1.0000e-02 eta: 12:58:13 time: 0.1688 data_time: 0.0023 loss: 1.2223 03/10 21:28:43 - mmengine - INFO - Epoch(train) [48][ 600/5005] lr: 1.0000e-02 eta: 12:57:55 time: 0.1724 data_time: 0.0023 loss: 1.3467 03/10 21:29:02 - mmengine - INFO - Epoch(train) [48][ 700/5005] lr: 1.0000e-02 eta: 12:57:38 time: 0.1710 data_time: 0.0026 loss: 1.3247 03/10 21:29:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:29:19 - mmengine - INFO - Epoch(train) [48][ 800/5005] lr: 1.0000e-02 eta: 12:57:20 time: 0.1729 data_time: 0.0028 loss: 1.3280 03/10 21:29:36 - mmengine - INFO - Epoch(train) [48][ 900/5005] lr: 1.0000e-02 eta: 12:57:02 time: 0.1721 data_time: 0.0021 loss: 1.3671 03/10 21:29:54 - mmengine - INFO - Epoch(train) [48][1000/5005] lr: 1.0000e-02 eta: 12:56:44 time: 0.1700 data_time: 0.0023 loss: 1.5132 03/10 21:30:11 - mmengine - INFO - Epoch(train) [48][1100/5005] lr: 1.0000e-02 eta: 12:56:26 time: 0.1735 data_time: 0.0021 loss: 1.3738 03/10 21:30:28 - mmengine - INFO - Epoch(train) [48][1200/5005] lr: 1.0000e-02 eta: 12:56:08 time: 0.1712 data_time: 0.0024 loss: 1.3582 03/10 21:30:47 - mmengine - INFO - Epoch(train) [48][1300/5005] lr: 1.0000e-02 eta: 12:55:51 time: 0.1704 data_time: 0.0026 loss: 1.2293 03/10 21:31:04 - mmengine - INFO - Epoch(train) [48][1400/5005] lr: 1.0000e-02 eta: 12:55:33 time: 0.1721 data_time: 0.0023 loss: 1.4449 03/10 21:31:21 - mmengine - INFO - Epoch(train) [48][1500/5005] lr: 1.0000e-02 eta: 12:55:15 time: 0.1705 data_time: 0.0024 loss: 0.9977 03/10 21:31:39 - mmengine - INFO - Epoch(train) [48][1600/5005] lr: 1.0000e-02 eta: 12:54:57 time: 0.1697 data_time: 0.0025 loss: 1.2122 03/10 21:31:56 - mmengine - INFO - Epoch(train) [48][1700/5005] lr: 1.0000e-02 eta: 12:54:38 time: 0.1712 data_time: 0.0026 loss: 1.4654 03/10 21:32:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:32:13 - mmengine - INFO - Epoch(train) [48][1800/5005] lr: 1.0000e-02 eta: 12:54:20 time: 0.1693 data_time: 0.0023 loss: 1.2523 03/10 21:32:31 - mmengine - INFO - Epoch(train) [48][1900/5005] lr: 1.0000e-02 eta: 12:54:02 time: 0.1699 data_time: 0.0020 loss: 1.3732 03/10 21:32:48 - mmengine - INFO - Epoch(train) [48][2000/5005] lr: 1.0000e-02 eta: 12:53:44 time: 0.1719 data_time: 0.0022 loss: 1.2099 03/10 21:33:05 - mmengine - INFO - Epoch(train) [48][2100/5005] lr: 1.0000e-02 eta: 12:53:26 time: 0.1669 data_time: 0.0026 loss: 1.2844 03/10 21:33:23 - mmengine - INFO - Epoch(train) [48][2200/5005] lr: 1.0000e-02 eta: 12:53:08 time: 0.1696 data_time: 0.0024 loss: 1.2811 03/10 21:33:40 - mmengine - INFO - Epoch(train) [48][2300/5005] lr: 1.0000e-02 eta: 12:52:50 time: 0.1693 data_time: 0.0024 loss: 1.5321 03/10 21:33:57 - mmengine - INFO - Epoch(train) [48][2400/5005] lr: 1.0000e-02 eta: 12:52:32 time: 0.1730 data_time: 0.0025 loss: 1.2095 03/10 21:34:15 - mmengine - INFO - Epoch(train) [48][2500/5005] lr: 1.0000e-02 eta: 12:52:14 time: 0.1697 data_time: 0.0024 loss: 1.3577 03/10 21:34:32 - mmengine - INFO - Epoch(train) [48][2600/5005] lr: 1.0000e-02 eta: 12:51:56 time: 0.1702 data_time: 0.0022 loss: 1.2841 03/10 21:34:50 - mmengine - INFO - Epoch(train) [48][2700/5005] lr: 1.0000e-02 eta: 12:51:38 time: 0.1863 data_time: 0.0023 loss: 1.2956 03/10 21:35:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:35:07 - mmengine - INFO - Epoch(train) [48][2800/5005] lr: 1.0000e-02 eta: 12:51:20 time: 0.1702 data_time: 0.0024 loss: 1.0593 03/10 21:35:24 - mmengine - INFO - Epoch(train) [48][2900/5005] lr: 1.0000e-02 eta: 12:51:01 time: 0.1707 data_time: 0.0026 loss: 1.4839 03/10 21:35:42 - mmengine - INFO - Epoch(train) [48][3000/5005] lr: 1.0000e-02 eta: 12:50:44 time: 0.1900 data_time: 0.0023 loss: 1.4246 03/10 21:35:59 - mmengine - INFO - Epoch(train) [48][3100/5005] lr: 1.0000e-02 eta: 12:50:25 time: 0.1701 data_time: 0.0022 loss: 1.2721 03/10 21:36:16 - mmengine - INFO - Epoch(train) [48][3200/5005] lr: 1.0000e-02 eta: 12:50:07 time: 0.1886 data_time: 0.0024 loss: 1.3702 03/10 21:36:34 - mmengine - INFO - Epoch(train) [48][3300/5005] lr: 1.0000e-02 eta: 12:49:49 time: 0.1689 data_time: 0.0024 loss: 1.3073 03/10 21:36:51 - mmengine - INFO - Epoch(train) [48][3400/5005] lr: 1.0000e-02 eta: 12:49:31 time: 0.1716 data_time: 0.0024 loss: 1.4496 03/10 21:37:08 - mmengine - INFO - Epoch(train) [48][3500/5005] lr: 1.0000e-02 eta: 12:49:13 time: 0.1971 data_time: 0.0025 loss: 1.3900 03/10 21:37:26 - mmengine - INFO - Epoch(train) [48][3600/5005] lr: 1.0000e-02 eta: 12:48:55 time: 0.1708 data_time: 0.0022 loss: 1.3525 03/10 21:37:43 - mmengine - INFO - Epoch(train) [48][3700/5005] lr: 1.0000e-02 eta: 12:48:37 time: 0.1700 data_time: 0.0024 loss: 1.4121 03/10 21:37:54 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:38:00 - mmengine - INFO - Epoch(train) [48][3800/5005] lr: 1.0000e-02 eta: 12:48:19 time: 0.1716 data_time: 0.0023 loss: 1.3878 03/10 21:38:17 - mmengine - INFO - Epoch(train) [48][3900/5005] lr: 1.0000e-02 eta: 12:48:01 time: 0.1687 data_time: 0.0025 loss: 1.3299 03/10 21:38:35 - mmengine - INFO - Epoch(train) [48][4000/5005] lr: 1.0000e-02 eta: 12:47:43 time: 0.1714 data_time: 0.0027 loss: 1.4772 03/10 21:38:52 - mmengine - INFO - Epoch(train) [48][4100/5005] lr: 1.0000e-02 eta: 12:47:25 time: 0.1703 data_time: 0.0023 loss: 1.3608 03/10 21:39:10 - mmengine - INFO - Epoch(train) [48][4200/5005] lr: 1.0000e-02 eta: 12:47:07 time: 0.1687 data_time: 0.0023 loss: 1.1791 03/10 21:39:27 - mmengine - INFO - Epoch(train) [48][4300/5005] lr: 1.0000e-02 eta: 12:46:49 time: 0.1694 data_time: 0.0026 loss: 1.2891 03/10 21:39:44 - mmengine - INFO - Epoch(train) [48][4400/5005] lr: 1.0000e-02 eta: 12:46:31 time: 0.1677 data_time: 0.0023 loss: 1.4215 03/10 21:40:01 - mmengine - INFO - Epoch(train) [48][4500/5005] lr: 1.0000e-02 eta: 12:46:13 time: 0.1695 data_time: 0.0022 loss: 1.3894 03/10 21:40:19 - mmengine - INFO - Epoch(train) [48][4600/5005] lr: 1.0000e-02 eta: 12:45:54 time: 0.1705 data_time: 0.0024 loss: 1.3667 03/10 21:40:36 - mmengine - INFO - Epoch(train) [48][4700/5005] lr: 1.0000e-02 eta: 12:45:37 time: 0.1684 data_time: 0.0026 loss: 1.2602 03/10 21:40:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:40:53 - mmengine - INFO - Epoch(train) [48][4800/5005] lr: 1.0000e-02 eta: 12:45:18 time: 0.1693 data_time: 0.0020 loss: 1.2489 03/10 21:41:10 - mmengine - INFO - Epoch(train) [48][4900/5005] lr: 1.0000e-02 eta: 12:45:00 time: 0.1700 data_time: 0.0022 loss: 1.3959 03/10 21:41:27 - mmengine - INFO - Epoch(train) [48][5000/5005] lr: 1.0000e-02 eta: 12:44:41 time: 0.1658 data_time: 0.0019 loss: 1.3042 03/10 21:41:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:41:33 - mmengine - INFO - Saving checkpoint at 48 epochs 03/10 21:41:58 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:00:22 time: 0.4908 data_time: 0.4724 03/10 21:42:12 - mmengine - INFO - Epoch(val) [48][196/196] accuracy/top1: 70.8560 accuracy/top5: 90.2740 03/10 21:42:49 - mmengine - INFO - Epoch(train) [49][ 100/5005] lr: 1.0000e-02 eta: 12:44:43 time: 0.1763 data_time: 0.0032 loss: 1.4646 03/10 21:43:07 - mmengine - INFO - Epoch(train) [49][ 200/5005] lr: 1.0000e-02 eta: 12:44:25 time: 0.1944 data_time: 0.0023 loss: 1.2882 03/10 21:43:24 - mmengine - INFO - Epoch(train) [49][ 300/5005] lr: 1.0000e-02 eta: 12:44:07 time: 0.1705 data_time: 0.0023 loss: 1.4729 03/10 21:43:42 - mmengine - INFO - Epoch(train) [49][ 400/5005] lr: 1.0000e-02 eta: 12:43:50 time: 0.1727 data_time: 0.0026 loss: 1.4557 03/10 21:43:59 - mmengine - INFO - Epoch(train) [49][ 500/5005] lr: 1.0000e-02 eta: 12:43:32 time: 0.1725 data_time: 0.0026 loss: 1.4572 03/10 21:44:16 - mmengine - INFO - Epoch(train) [49][ 600/5005] lr: 1.0000e-02 eta: 12:43:13 time: 0.1705 data_time: 0.0025 loss: 1.4548 03/10 21:44:34 - mmengine - INFO - Epoch(train) [49][ 700/5005] lr: 1.0000e-02 eta: 12:42:56 time: 0.1685 data_time: 0.0024 loss: 1.3672 03/10 21:44:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:44:53 - mmengine - INFO - Epoch(train) [49][ 800/5005] lr: 1.0000e-02 eta: 12:42:39 time: 0.1705 data_time: 0.0022 loss: 1.3860 03/10 21:45:10 - mmengine - INFO - Epoch(train) [49][ 900/5005] lr: 1.0000e-02 eta: 12:42:21 time: 0.1716 data_time: 0.0021 loss: 1.6342 03/10 21:45:28 - mmengine - INFO - Epoch(train) [49][1000/5005] lr: 1.0000e-02 eta: 12:42:03 time: 0.1703 data_time: 0.0022 loss: 1.3050 03/10 21:45:45 - mmengine - INFO - Epoch(train) [49][1100/5005] lr: 1.0000e-02 eta: 12:41:45 time: 0.1711 data_time: 0.0021 loss: 1.4875 03/10 21:46:02 - mmengine - INFO - Epoch(train) [49][1200/5005] lr: 1.0000e-02 eta: 12:41:27 time: 0.1709 data_time: 0.0022 loss: 1.4314 03/10 21:46:19 - mmengine - INFO - Epoch(train) [49][1300/5005] lr: 1.0000e-02 eta: 12:41:09 time: 0.1704 data_time: 0.0024 loss: 1.3409 03/10 21:46:37 - mmengine - INFO - Epoch(train) [49][1400/5005] lr: 1.0000e-02 eta: 12:40:51 time: 0.1703 data_time: 0.0023 loss: 1.3448 03/10 21:46:54 - mmengine - INFO - Epoch(train) [49][1500/5005] lr: 1.0000e-02 eta: 12:40:33 time: 0.1698 data_time: 0.0023 loss: 1.4789 03/10 21:47:13 - mmengine - INFO - Epoch(train) [49][1600/5005] lr: 1.0000e-02 eta: 12:40:16 time: 0.1684 data_time: 0.0023 loss: 1.4651 03/10 21:47:30 - mmengine - INFO - Epoch(train) [49][1700/5005] lr: 1.0000e-02 eta: 12:39:58 time: 0.1684 data_time: 0.0023 loss: 1.4679 03/10 21:47:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:47:47 - mmengine - INFO - Epoch(train) [49][1800/5005] lr: 1.0000e-02 eta: 12:39:40 time: 0.1702 data_time: 0.0022 loss: 1.2729 03/10 21:48:04 - mmengine - INFO - Epoch(train) [49][1900/5005] lr: 1.0000e-02 eta: 12:39:22 time: 0.1705 data_time: 0.0021 loss: 1.3720 03/10 21:48:22 - mmengine - INFO - Epoch(train) [49][2000/5005] lr: 1.0000e-02 eta: 12:39:03 time: 0.1718 data_time: 0.0021 loss: 1.4262 03/10 21:48:39 - mmengine - INFO - Epoch(train) [49][2100/5005] lr: 1.0000e-02 eta: 12:38:45 time: 0.1752 data_time: 0.0024 loss: 1.4033 03/10 21:48:57 - mmengine - INFO - Epoch(train) [49][2200/5005] lr: 1.0000e-02 eta: 12:38:28 time: 0.1711 data_time: 0.0023 loss: 1.3978 03/10 21:49:14 - mmengine - INFO - Epoch(train) [49][2300/5005] lr: 1.0000e-02 eta: 12:38:10 time: 0.1866 data_time: 0.0023 loss: 1.2162 03/10 21:49:31 - mmengine - INFO - Epoch(train) [49][2400/5005] lr: 1.0000e-02 eta: 12:37:51 time: 0.1695 data_time: 0.0025 loss: 1.4770 03/10 21:49:48 - mmengine - INFO - Epoch(train) [49][2500/5005] lr: 1.0000e-02 eta: 12:37:33 time: 0.1701 data_time: 0.0025 loss: 1.4734 03/10 21:50:06 - mmengine - INFO - Epoch(train) [49][2600/5005] lr: 1.0000e-02 eta: 12:37:15 time: 0.1717 data_time: 0.0026 loss: 1.2215 03/10 21:50:23 - mmengine - INFO - Epoch(train) [49][2700/5005] lr: 1.0000e-02 eta: 12:36:57 time: 0.1699 data_time: 0.0023 loss: 1.4679 03/10 21:50:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:50:41 - mmengine - INFO - Epoch(train) [49][2800/5005] lr: 1.0000e-02 eta: 12:36:40 time: 0.1707 data_time: 0.0022 loss: 1.3333 03/10 21:50:58 - mmengine - INFO - Epoch(train) [49][2900/5005] lr: 1.0000e-02 eta: 12:36:21 time: 0.1692 data_time: 0.0023 loss: 1.5571 03/10 21:51:15 - mmengine - INFO - Epoch(train) [49][3000/5005] lr: 1.0000e-02 eta: 12:36:03 time: 0.1691 data_time: 0.0023 loss: 1.5051 03/10 21:51:33 - mmengine - INFO - Epoch(train) [49][3100/5005] lr: 1.0000e-02 eta: 12:35:45 time: 0.1721 data_time: 0.0023 loss: 1.1534 03/10 21:51:50 - mmengine - INFO - Epoch(train) [49][3200/5005] lr: 1.0000e-02 eta: 12:35:27 time: 0.1707 data_time: 0.0021 loss: 1.4116 03/10 21:52:07 - mmengine - INFO - Epoch(train) [49][3300/5005] lr: 1.0000e-02 eta: 12:35:09 time: 0.1703 data_time: 0.0025 loss: 1.4511 03/10 21:52:25 - mmengine - INFO - Epoch(train) [49][3400/5005] lr: 1.0000e-02 eta: 12:34:51 time: 0.1679 data_time: 0.0024 loss: 1.2486 03/10 21:52:42 - mmengine - INFO - Epoch(train) [49][3500/5005] lr: 1.0000e-02 eta: 12:34:33 time: 0.1688 data_time: 0.0024 loss: 1.4947 03/10 21:53:00 - mmengine - INFO - Epoch(train) [49][3600/5005] lr: 1.0000e-02 eta: 12:34:15 time: 0.1844 data_time: 0.0024 loss: 1.3360 03/10 21:53:17 - mmengine - INFO - Epoch(train) [49][3700/5005] lr: 1.0000e-02 eta: 12:33:57 time: 0.1681 data_time: 0.0023 loss: 1.4185 03/10 21:53:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:53:34 - mmengine - INFO - Epoch(train) [49][3800/5005] lr: 1.0000e-02 eta: 12:33:39 time: 0.1711 data_time: 0.0023 loss: 1.3104 03/10 21:53:52 - mmengine - INFO - Epoch(train) [49][3900/5005] lr: 1.0000e-02 eta: 12:33:21 time: 0.1873 data_time: 0.0026 loss: 1.3445 03/10 21:54:09 - mmengine - INFO - Epoch(train) [49][4000/5005] lr: 1.0000e-02 eta: 12:33:03 time: 0.1712 data_time: 0.0024 loss: 1.4951 03/10 21:54:26 - mmengine - INFO - Epoch(train) [49][4100/5005] lr: 1.0000e-02 eta: 12:32:45 time: 0.1702 data_time: 0.0023 loss: 1.4928 03/10 21:54:43 - mmengine - INFO - Epoch(train) [49][4200/5005] lr: 1.0000e-02 eta: 12:32:27 time: 0.1680 data_time: 0.0023 loss: 1.2648 03/10 21:55:01 - mmengine - INFO - Epoch(train) [49][4300/5005] lr: 1.0000e-02 eta: 12:32:09 time: 0.1708 data_time: 0.0023 loss: 1.4100 03/10 21:55:18 - mmengine - INFO - Epoch(train) [49][4400/5005] lr: 1.0000e-02 eta: 12:31:51 time: 0.1698 data_time: 0.0024 loss: 1.2959 03/10 21:55:36 - mmengine - INFO - Epoch(train) [49][4500/5005] lr: 1.0000e-02 eta: 12:31:33 time: 0.1711 data_time: 0.0021 loss: 1.3409 03/10 21:55:53 - mmengine - INFO - Epoch(train) [49][4600/5005] lr: 1.0000e-02 eta: 12:31:15 time: 0.1687 data_time: 0.0022 loss: 1.3786 03/10 21:56:10 - mmengine - INFO - Epoch(train) [49][4700/5005] lr: 1.0000e-02 eta: 12:30:57 time: 0.1739 data_time: 0.0024 loss: 1.3950 03/10 21:56:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:56:27 - mmengine - INFO - Epoch(train) [49][4800/5005] lr: 1.0000e-02 eta: 12:30:38 time: 0.1677 data_time: 0.0021 loss: 1.1531 03/10 21:56:44 - mmengine - INFO - Epoch(train) [49][4900/5005] lr: 1.0000e-02 eta: 12:30:20 time: 0.1675 data_time: 0.0024 loss: 1.4149 03/10 21:57:01 - mmengine - INFO - Epoch(train) [49][5000/5005] lr: 1.0000e-02 eta: 12:30:01 time: 0.1690 data_time: 0.0020 loss: 1.2956 03/10 21:57:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 21:57:07 - mmengine - INFO - Saving checkpoint at 49 epochs 03/10 21:57:29 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:00:19 time: 0.0189 data_time: 0.0009 03/10 21:57:43 - mmengine - INFO - Epoch(val) [49][196/196] accuracy/top1: 71.1520 accuracy/top5: 90.5620 03/10 21:58:19 - mmengine - INFO - Epoch(train) [50][ 100/5005] lr: 1.0000e-02 eta: 12:30:02 time: 0.1687 data_time: 0.0030 loss: 1.2978 03/10 21:58:37 - mmengine - INFO - Epoch(train) [50][ 200/5005] lr: 1.0000e-02 eta: 12:29:44 time: 0.1730 data_time: 0.0025 loss: 1.3884 03/10 21:58:55 - mmengine - INFO - Epoch(train) [50][ 300/5005] lr: 1.0000e-02 eta: 12:29:28 time: 0.1729 data_time: 0.0024 loss: 1.4576 03/10 21:59:13 - mmengine - INFO - Epoch(train) [50][ 400/5005] lr: 1.0000e-02 eta: 12:29:10 time: 0.1715 data_time: 0.0022 loss: 1.5251 03/10 21:59:30 - mmengine - INFO - Epoch(train) [50][ 500/5005] lr: 1.0000e-02 eta: 12:28:52 time: 0.1707 data_time: 0.0023 loss: 1.4226 03/10 21:59:48 - mmengine - INFO - Epoch(train) [50][ 600/5005] lr: 1.0000e-02 eta: 12:28:34 time: 0.1953 data_time: 0.0024 loss: 1.4137 03/10 22:00:06 - mmengine - INFO - Epoch(train) [50][ 700/5005] lr: 1.0000e-02 eta: 12:28:16 time: 0.1703 data_time: 0.0023 loss: 1.4188 03/10 22:00:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:00:23 - mmengine - INFO - Epoch(train) [50][ 800/5005] lr: 1.0000e-02 eta: 12:27:58 time: 0.1731 data_time: 0.0024 loss: 1.3539 03/10 22:00:41 - mmengine - INFO - Epoch(train) [50][ 900/5005] lr: 1.0000e-02 eta: 12:27:41 time: 0.1697 data_time: 0.0022 loss: 1.4161 03/10 22:00:58 - mmengine - INFO - Epoch(train) [50][1000/5005] lr: 1.0000e-02 eta: 12:27:23 time: 0.1691 data_time: 0.0023 loss: 1.2655 03/10 22:01:16 - mmengine - INFO - Epoch(train) [50][1100/5005] lr: 1.0000e-02 eta: 12:27:05 time: 0.1719 data_time: 0.0026 loss: 1.4425 03/10 22:01:33 - mmengine - INFO - Epoch(train) [50][1200/5005] lr: 1.0000e-02 eta: 12:26:47 time: 0.1710 data_time: 0.0024 loss: 1.2127 03/10 22:01:51 - mmengine - INFO - Epoch(train) [50][1300/5005] lr: 1.0000e-02 eta: 12:26:29 time: 0.1715 data_time: 0.0022 loss: 1.5865 03/10 22:02:08 - mmengine - INFO - Epoch(train) [50][1400/5005] lr: 1.0000e-02 eta: 12:26:11 time: 0.1714 data_time: 0.0023 loss: 1.5111 03/10 22:02:25 - mmengine - INFO - Epoch(train) [50][1500/5005] lr: 1.0000e-02 eta: 12:25:53 time: 0.1704 data_time: 0.0026 loss: 1.4250 03/10 22:02:43 - mmengine - INFO - Epoch(train) [50][1600/5005] lr: 1.0000e-02 eta: 12:25:35 time: 0.1690 data_time: 0.0023 loss: 1.2183 03/10 22:03:00 - mmengine - INFO - Epoch(train) [50][1700/5005] lr: 1.0000e-02 eta: 12:25:17 time: 0.1708 data_time: 0.0024 loss: 1.3053 03/10 22:03:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:03:18 - mmengine - INFO - Epoch(train) [50][1800/5005] lr: 1.0000e-02 eta: 12:24:59 time: 0.1699 data_time: 0.0024 loss: 1.5348 03/10 22:03:35 - mmengine - INFO - Epoch(train) [50][1900/5005] lr: 1.0000e-02 eta: 12:24:41 time: 0.1701 data_time: 0.0023 loss: 1.7044 03/10 22:03:53 - mmengine - INFO - Epoch(train) [50][2000/5005] lr: 1.0000e-02 eta: 12:24:23 time: 0.1694 data_time: 0.0024 loss: 1.5081 03/10 22:04:10 - mmengine - INFO - Epoch(train) [50][2100/5005] lr: 1.0000e-02 eta: 12:24:05 time: 0.1899 data_time: 0.0024 loss: 1.3925 03/10 22:04:27 - mmengine - INFO - Epoch(train) [50][2200/5005] lr: 1.0000e-02 eta: 12:23:47 time: 0.1671 data_time: 0.0023 loss: 1.2386 03/10 22:04:44 - mmengine - INFO - Epoch(train) [50][2300/5005] lr: 1.0000e-02 eta: 12:23:29 time: 0.1679 data_time: 0.0025 loss: 1.3504 03/10 22:05:02 - mmengine - INFO - Epoch(train) [50][2400/5005] lr: 1.0000e-02 eta: 12:23:11 time: 0.1707 data_time: 0.0025 loss: 1.2395 03/10 22:05:19 - mmengine - INFO - Epoch(train) [50][2500/5005] lr: 1.0000e-02 eta: 12:22:53 time: 0.1698 data_time: 0.0023 loss: 1.3572 03/10 22:05:36 - mmengine - INFO - Epoch(train) [50][2600/5005] lr: 1.0000e-02 eta: 12:22:35 time: 0.1724 data_time: 0.0024 loss: 1.3505 03/10 22:05:54 - mmengine - INFO - Epoch(train) [50][2700/5005] lr: 1.0000e-02 eta: 12:22:17 time: 0.1704 data_time: 0.0023 loss: 1.4617 03/10 22:06:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:06:11 - mmengine - INFO - Epoch(train) [50][2800/5005] lr: 1.0000e-02 eta: 12:21:59 time: 0.1691 data_time: 0.0024 loss: 1.4932 03/10 22:06:28 - mmengine - INFO - Epoch(train) [50][2900/5005] lr: 1.0000e-02 eta: 12:21:40 time: 0.1706 data_time: 0.0023 loss: 1.4261 03/10 22:06:46 - mmengine - INFO - Epoch(train) [50][3000/5005] lr: 1.0000e-02 eta: 12:21:23 time: 0.1683 data_time: 0.0023 loss: 1.3404 03/10 22:07:03 - mmengine - INFO - Epoch(train) [50][3100/5005] lr: 1.0000e-02 eta: 12:21:05 time: 0.1857 data_time: 0.0024 loss: 1.3245 03/10 22:07:20 - mmengine - INFO - Epoch(train) [50][3200/5005] lr: 1.0000e-02 eta: 12:20:47 time: 0.1705 data_time: 0.0025 loss: 1.3177 03/10 22:07:38 - mmengine - INFO - Epoch(train) [50][3300/5005] lr: 1.0000e-02 eta: 12:20:29 time: 0.1697 data_time: 0.0023 loss: 1.4896 03/10 22:07:55 - mmengine - INFO - Epoch(train) [50][3400/5005] lr: 1.0000e-02 eta: 12:20:10 time: 0.1713 data_time: 0.0024 loss: 1.2635 03/10 22:08:12 - mmengine - INFO - Epoch(train) [50][3500/5005] lr: 1.0000e-02 eta: 12:19:52 time: 0.1694 data_time: 0.0021 loss: 1.3412 03/10 22:08:30 - mmengine - INFO - Epoch(train) [50][3600/5005] lr: 1.0000e-02 eta: 12:19:35 time: 0.1667 data_time: 0.0024 loss: 1.4619 03/10 22:08:47 - mmengine - INFO - Epoch(train) [50][3700/5005] lr: 1.0000e-02 eta: 12:19:16 time: 0.1842 data_time: 0.0024 loss: 1.1607 03/10 22:08:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:09:04 - mmengine - INFO - Epoch(train) [50][3800/5005] lr: 1.0000e-02 eta: 12:18:58 time: 0.1715 data_time: 0.0023 loss: 1.4698 03/10 22:09:22 - mmengine - INFO - Epoch(train) [50][3900/5005] lr: 1.0000e-02 eta: 12:18:41 time: 0.1704 data_time: 0.0023 loss: 1.3106 03/10 22:09:39 - mmengine - INFO - Epoch(train) [50][4000/5005] lr: 1.0000e-02 eta: 12:18:22 time: 0.1715 data_time: 0.0022 loss: 1.3407 03/10 22:09:56 - mmengine - INFO - Epoch(train) [50][4100/5005] lr: 1.0000e-02 eta: 12:18:04 time: 0.1723 data_time: 0.0021 loss: 1.4338 03/10 22:10:14 - mmengine - INFO - Epoch(train) [50][4200/5005] lr: 1.0000e-02 eta: 12:17:46 time: 0.1688 data_time: 0.0024 loss: 1.6557 03/10 22:10:31 - mmengine - INFO - Epoch(train) [50][4300/5005] lr: 1.0000e-02 eta: 12:17:28 time: 0.1694 data_time: 0.0021 loss: 1.4693 03/10 22:10:48 - mmengine - INFO - Epoch(train) [50][4400/5005] lr: 1.0000e-02 eta: 12:17:10 time: 0.1671 data_time: 0.0023 loss: 1.3171 03/10 22:11:06 - mmengine - INFO - Epoch(train) [50][4500/5005] lr: 1.0000e-02 eta: 12:16:52 time: 0.1715 data_time: 0.0022 loss: 1.4534 03/10 22:11:23 - mmengine - INFO - Epoch(train) [50][4600/5005] lr: 1.0000e-02 eta: 12:16:34 time: 0.1719 data_time: 0.0021 loss: 1.2550 03/10 22:11:40 - mmengine - INFO - Epoch(train) [50][4700/5005] lr: 1.0000e-02 eta: 12:16:16 time: 0.1668 data_time: 0.0023 loss: 1.4683 03/10 22:11:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:11:57 - mmengine - INFO - Epoch(train) [50][4800/5005] lr: 1.0000e-02 eta: 12:15:58 time: 0.1703 data_time: 0.0020 loss: 1.3988 03/10 22:12:14 - mmengine - INFO - Epoch(train) [50][4900/5005] lr: 1.0000e-02 eta: 12:15:39 time: 0.1710 data_time: 0.0024 loss: 1.3449 03/10 22:12:31 - mmengine - INFO - Epoch(train) [50][5000/5005] lr: 1.0000e-02 eta: 12:15:21 time: 0.1680 data_time: 0.0023 loss: 1.2607 03/10 22:12:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:12:37 - mmengine - INFO - Saving checkpoint at 50 epochs 03/10 22:12:57 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:00:18 time: 0.0174 data_time: 0.0004 03/10 22:13:11 - mmengine - INFO - Epoch(val) [50][196/196] accuracy/top1: 71.0660 accuracy/top5: 90.3360 03/10 22:13:48 - mmengine - INFO - Epoch(train) [51][ 100/5005] lr: 1.0000e-02 eta: 12:15:21 time: 0.1723 data_time: 0.0030 loss: 1.5735 03/10 22:14:05 - mmengine - INFO - Epoch(train) [51][ 200/5005] lr: 1.0000e-02 eta: 12:15:03 time: 0.1727 data_time: 0.0023 loss: 1.3017 03/10 22:14:23 - mmengine - INFO - Epoch(train) [51][ 300/5005] lr: 1.0000e-02 eta: 12:14:45 time: 0.1696 data_time: 0.0022 loss: 1.2488 03/10 22:14:42 - mmengine - INFO - Epoch(train) [51][ 400/5005] lr: 1.0000e-02 eta: 12:14:28 time: 0.1681 data_time: 0.0027 loss: 1.4757 03/10 22:14:59 - mmengine - INFO - Epoch(train) [51][ 500/5005] lr: 1.0000e-02 eta: 12:14:11 time: 0.1713 data_time: 0.0022 loss: 1.5429 03/10 22:15:16 - mmengine - INFO - Epoch(train) [51][ 600/5005] lr: 1.0000e-02 eta: 12:13:53 time: 0.1708 data_time: 0.0023 loss: 1.2847 03/10 22:15:34 - mmengine - INFO - Epoch(train) [51][ 700/5005] lr: 1.0000e-02 eta: 12:13:35 time: 0.1698 data_time: 0.0025 loss: 1.4381 03/10 22:15:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:15:51 - mmengine - INFO - Epoch(train) [51][ 800/5005] lr: 1.0000e-02 eta: 12:13:17 time: 0.1713 data_time: 0.0023 loss: 1.2694 03/10 22:16:09 - mmengine - INFO - Epoch(train) [51][ 900/5005] lr: 1.0000e-02 eta: 12:12:59 time: 0.1686 data_time: 0.0024 loss: 1.6184 03/10 22:16:26 - mmengine - INFO - Epoch(train) [51][1000/5005] lr: 1.0000e-02 eta: 12:12:41 time: 0.1693 data_time: 0.0022 loss: 1.3176 03/10 22:16:44 - mmengine - INFO - Epoch(train) [51][1100/5005] lr: 1.0000e-02 eta: 12:12:23 time: 0.1716 data_time: 0.0024 loss: 1.2272 03/10 22:17:01 - mmengine - INFO - Epoch(train) [51][1200/5005] lr: 1.0000e-02 eta: 12:12:05 time: 0.1705 data_time: 0.0023 loss: 1.3546 03/10 22:17:18 - mmengine - INFO - Epoch(train) [51][1300/5005] lr: 1.0000e-02 eta: 12:11:47 time: 0.1697 data_time: 0.0023 loss: 1.3426 03/10 22:17:36 - mmengine - INFO - Epoch(train) [51][1400/5005] lr: 1.0000e-02 eta: 12:11:29 time: 0.1702 data_time: 0.0024 loss: 1.5459 03/10 22:17:54 - mmengine - INFO - Epoch(train) [51][1500/5005] lr: 1.0000e-02 eta: 12:11:11 time: 0.1667 data_time: 0.0024 loss: 1.4644 03/10 22:18:12 - mmengine - INFO - Epoch(train) [51][1600/5005] lr: 1.0000e-02 eta: 12:10:54 time: 0.1706 data_time: 0.0022 loss: 1.2232 03/10 22:18:29 - mmengine - INFO - Epoch(train) [51][1700/5005] lr: 1.0000e-02 eta: 12:10:36 time: 0.1701 data_time: 0.0023 loss: 1.4322 03/10 22:18:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:18:46 - mmengine - INFO - Epoch(train) [51][1800/5005] lr: 1.0000e-02 eta: 12:10:18 time: 0.1910 data_time: 0.0026 loss: 1.3194 03/10 22:19:04 - mmengine - INFO - Epoch(train) [51][1900/5005] lr: 1.0000e-02 eta: 12:10:00 time: 0.1700 data_time: 0.0024 loss: 1.3878 03/10 22:19:21 - mmengine - INFO - Epoch(train) [51][2000/5005] lr: 1.0000e-02 eta: 12:09:42 time: 0.1816 data_time: 0.0024 loss: 1.3452 03/10 22:19:38 - mmengine - INFO - Epoch(train) [51][2100/5005] lr: 1.0000e-02 eta: 12:09:24 time: 0.1871 data_time: 0.0024 loss: 1.2311 03/10 22:19:56 - mmengine - INFO - Epoch(train) [51][2200/5005] lr: 1.0000e-02 eta: 12:09:06 time: 0.1850 data_time: 0.0023 loss: 1.2425 03/10 22:20:13 - mmengine - INFO - Epoch(train) [51][2300/5005] lr: 1.0000e-02 eta: 12:08:48 time: 0.1691 data_time: 0.0024 loss: 1.4578 03/10 22:20:31 - mmengine - INFO - Epoch(train) [51][2400/5005] lr: 1.0000e-02 eta: 12:08:30 time: 0.1700 data_time: 0.0022 loss: 1.4659 03/10 22:20:48 - mmengine - INFO - Epoch(train) [51][2500/5005] lr: 1.0000e-02 eta: 12:08:12 time: 0.1719 data_time: 0.0024 loss: 1.4914 03/10 22:21:05 - mmengine - INFO - Epoch(train) [51][2600/5005] lr: 1.0000e-02 eta: 12:07:54 time: 0.1717 data_time: 0.0023 loss: 1.3218 03/10 22:21:23 - mmengine - INFO - Epoch(train) [51][2700/5005] lr: 1.0000e-02 eta: 12:07:36 time: 0.1702 data_time: 0.0025 loss: 1.2983 03/10 22:21:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:21:40 - mmengine - INFO - Epoch(train) [51][2800/5005] lr: 1.0000e-02 eta: 12:07:18 time: 0.1718 data_time: 0.0023 loss: 1.3331 03/10 22:21:58 - mmengine - INFO - Epoch(train) [51][2900/5005] lr: 1.0000e-02 eta: 12:07:00 time: 0.1701 data_time: 0.0022 loss: 1.2710 03/10 22:22:15 - mmengine - INFO - Epoch(train) [51][3000/5005] lr: 1.0000e-02 eta: 12:06:42 time: 0.1706 data_time: 0.0022 loss: 1.3739 03/10 22:22:32 - mmengine - INFO - Epoch(train) [51][3100/5005] lr: 1.0000e-02 eta: 12:06:24 time: 0.1672 data_time: 0.0026 loss: 1.4016 03/10 22:22:50 - mmengine - INFO - Epoch(train) [51][3200/5005] lr: 1.0000e-02 eta: 12:06:06 time: 0.1689 data_time: 0.0021 loss: 1.4706 03/10 22:23:07 - mmengine - INFO - Epoch(train) [51][3300/5005] lr: 1.0000e-02 eta: 12:05:48 time: 0.1728 data_time: 0.0025 loss: 1.3614 03/10 22:23:24 - mmengine - INFO - Epoch(train) [51][3400/5005] lr: 1.0000e-02 eta: 12:05:30 time: 0.1714 data_time: 0.0024 loss: 1.2906 03/10 22:23:42 - mmengine - INFO - Epoch(train) [51][3500/5005] lr: 1.0000e-02 eta: 12:05:12 time: 0.1713 data_time: 0.0022 loss: 1.5602 03/10 22:23:59 - mmengine - INFO - Epoch(train) [51][3600/5005] lr: 1.0000e-02 eta: 12:04:54 time: 0.1693 data_time: 0.0026 loss: 1.3896 03/10 22:24:17 - mmengine - INFO - Epoch(train) [51][3700/5005] lr: 1.0000e-02 eta: 12:04:37 time: 0.1717 data_time: 0.0024 loss: 1.4526 03/10 22:24:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:24:34 - mmengine - INFO - Epoch(train) [51][3800/5005] lr: 1.0000e-02 eta: 12:04:18 time: 0.1716 data_time: 0.0023 loss: 1.4287 03/10 22:24:51 - mmengine - INFO - Epoch(train) [51][3900/5005] lr: 1.0000e-02 eta: 12:04:00 time: 0.1694 data_time: 0.0025 loss: 1.4125 03/10 22:25:09 - mmengine - INFO - Epoch(train) [51][4000/5005] lr: 1.0000e-02 eta: 12:03:42 time: 0.1713 data_time: 0.0024 loss: 1.4656 03/10 22:25:26 - mmengine - INFO - Epoch(train) [51][4100/5005] lr: 1.0000e-02 eta: 12:03:24 time: 0.1721 data_time: 0.0025 loss: 1.4024 03/10 22:25:43 - mmengine - INFO - Epoch(train) [51][4200/5005] lr: 1.0000e-02 eta: 12:03:06 time: 0.1724 data_time: 0.0023 loss: 1.5869 03/10 22:26:01 - mmengine - INFO - Epoch(train) [51][4300/5005] lr: 1.0000e-02 eta: 12:02:48 time: 0.1690 data_time: 0.0024 loss: 1.2349 03/10 22:26:18 - mmengine - INFO - Epoch(train) [51][4400/5005] lr: 1.0000e-02 eta: 12:02:30 time: 0.1691 data_time: 0.0024 loss: 1.4419 03/10 22:26:36 - mmengine - INFO - Epoch(train) [51][4500/5005] lr: 1.0000e-02 eta: 12:02:12 time: 0.1720 data_time: 0.0028 loss: 1.4333 03/10 22:26:53 - mmengine - INFO - Epoch(train) [51][4600/5005] lr: 1.0000e-02 eta: 12:01:54 time: 0.1711 data_time: 0.0024 loss: 1.2580 03/10 22:27:10 - mmengine - INFO - Epoch(train) [51][4700/5005] lr: 1.0000e-02 eta: 12:01:36 time: 0.1835 data_time: 0.0027 loss: 1.4169 03/10 22:27:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:27:28 - mmengine - INFO - Epoch(train) [51][4800/5005] lr: 1.0000e-02 eta: 12:01:18 time: 0.1671 data_time: 0.0023 loss: 1.4156 03/10 22:27:44 - mmengine - INFO - Epoch(train) [51][4900/5005] lr: 1.0000e-02 eta: 12:01:00 time: 0.1681 data_time: 0.0023 loss: 1.2276 03/10 22:28:01 - mmengine - INFO - Epoch(train) [51][5000/5005] lr: 1.0000e-02 eta: 12:00:41 time: 0.1688 data_time: 0.0023 loss: 1.3310 03/10 22:28:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:28:07 - mmengine - INFO - Saving checkpoint at 51 epochs 03/10 22:28:28 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:00:18 time: 0.0194 data_time: 0.0005 03/10 22:28:42 - mmengine - INFO - Epoch(val) [51][196/196] accuracy/top1: 70.7180 accuracy/top5: 90.2240 03/10 22:29:19 - mmengine - INFO - Epoch(train) [52][ 100/5005] lr: 1.0000e-02 eta: 12:00:41 time: 0.1711 data_time: 0.0034 loss: 1.2272 03/10 22:29:37 - mmengine - INFO - Epoch(train) [52][ 200/5005] lr: 1.0000e-02 eta: 12:00:23 time: 0.1724 data_time: 0.0034 loss: 1.4508 03/10 22:29:54 - mmengine - INFO - Epoch(train) [52][ 300/5005] lr: 1.0000e-02 eta: 12:00:06 time: 0.1724 data_time: 0.0025 loss: 1.3584 03/10 22:30:12 - mmengine - INFO - Epoch(train) [52][ 400/5005] lr: 1.0000e-02 eta: 11:59:48 time: 0.1960 data_time: 0.0026 loss: 1.3929 03/10 22:30:30 - mmengine - INFO - Epoch(train) [52][ 500/5005] lr: 1.0000e-02 eta: 11:59:30 time: 0.1681 data_time: 0.0024 loss: 1.3408 03/10 22:30:47 - mmengine - INFO - Epoch(train) [52][ 600/5005] lr: 1.0000e-02 eta: 11:59:13 time: 0.1968 data_time: 0.0023 loss: 1.5364 03/10 22:31:05 - mmengine - INFO - Epoch(train) [52][ 700/5005] lr: 1.0000e-02 eta: 11:58:55 time: 0.1696 data_time: 0.0024 loss: 1.5342 03/10 22:31:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:31:22 - mmengine - INFO - Epoch(train) [52][ 800/5005] lr: 1.0000e-02 eta: 11:58:37 time: 0.1733 data_time: 0.0024 loss: 1.3776 03/10 22:31:40 - mmengine - INFO - Epoch(train) [52][ 900/5005] lr: 1.0000e-02 eta: 11:58:19 time: 0.1682 data_time: 0.0026 loss: 1.4835 03/10 22:31:58 - mmengine - INFO - Epoch(train) [52][1000/5005] lr: 1.0000e-02 eta: 11:58:02 time: 0.1723 data_time: 0.0024 loss: 1.3877 03/10 22:32:15 - mmengine - INFO - Epoch(train) [52][1100/5005] lr: 1.0000e-02 eta: 11:57:43 time: 0.1690 data_time: 0.0025 loss: 1.2255 03/10 22:32:33 - mmengine - INFO - Epoch(train) [52][1200/5005] lr: 1.0000e-02 eta: 11:57:26 time: 0.1706 data_time: 0.0022 loss: 1.3094 03/10 22:32:50 - mmengine - INFO - Epoch(train) [52][1300/5005] lr: 1.0000e-02 eta: 11:57:08 time: 0.1726 data_time: 0.0024 loss: 1.3833 03/10 22:33:08 - mmengine - INFO - Epoch(train) [52][1400/5005] lr: 1.0000e-02 eta: 11:56:50 time: 0.1876 data_time: 0.0024 loss: 1.3640 03/10 22:33:25 - mmengine - INFO - Epoch(train) [52][1500/5005] lr: 1.0000e-02 eta: 11:56:32 time: 0.1693 data_time: 0.0026 loss: 1.2380 03/10 22:33:43 - mmengine - INFO - Epoch(train) [52][1600/5005] lr: 1.0000e-02 eta: 11:56:14 time: 0.1691 data_time: 0.0022 loss: 1.4103 03/10 22:34:00 - mmengine - INFO - Epoch(train) [52][1700/5005] lr: 1.0000e-02 eta: 11:55:56 time: 0.1693 data_time: 0.0023 loss: 1.3234 03/10 22:34:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:34:17 - mmengine - INFO - Epoch(train) [52][1800/5005] lr: 1.0000e-02 eta: 11:55:38 time: 0.1872 data_time: 0.0024 loss: 1.3104 03/10 22:34:35 - mmengine - INFO - Epoch(train) [52][1900/5005] lr: 1.0000e-02 eta: 11:55:20 time: 0.1886 data_time: 0.0024 loss: 1.4516 03/10 22:34:52 - mmengine - INFO - Epoch(train) [52][2000/5005] lr: 1.0000e-02 eta: 11:55:02 time: 0.1714 data_time: 0.0024 loss: 1.3681 03/10 22:35:09 - mmengine - INFO - Epoch(train) [52][2100/5005] lr: 1.0000e-02 eta: 11:54:44 time: 0.1723 data_time: 0.0024 loss: 1.2868 03/10 22:35:27 - mmengine - INFO - Epoch(train) [52][2200/5005] lr: 1.0000e-02 eta: 11:54:26 time: 0.1845 data_time: 0.0025 loss: 1.3114 03/10 22:35:44 - mmengine - INFO - Epoch(train) [52][2300/5005] lr: 1.0000e-02 eta: 11:54:08 time: 0.1710 data_time: 0.0024 loss: 1.3583 03/10 22:36:02 - mmengine - INFO - Epoch(train) [52][2400/5005] lr: 1.0000e-02 eta: 11:53:50 time: 0.1859 data_time: 0.0022 loss: 1.5792 03/10 22:36:19 - mmengine - INFO - Epoch(train) [52][2500/5005] lr: 1.0000e-02 eta: 11:53:32 time: 0.1707 data_time: 0.0023 loss: 1.4332 03/10 22:36:37 - mmengine - INFO - Epoch(train) [52][2600/5005] lr: 1.0000e-02 eta: 11:53:14 time: 0.1714 data_time: 0.0025 loss: 1.3987 03/10 22:36:54 - mmengine - INFO - Epoch(train) [52][2700/5005] lr: 1.0000e-02 eta: 11:52:56 time: 0.1697 data_time: 0.0024 loss: 1.4431 03/10 22:37:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:37:11 - mmengine - INFO - Epoch(train) [52][2800/5005] lr: 1.0000e-02 eta: 11:52:38 time: 0.1716 data_time: 0.0023 loss: 1.3619 03/10 22:37:28 - mmengine - INFO - Epoch(train) [52][2900/5005] lr: 1.0000e-02 eta: 11:52:20 time: 0.1692 data_time: 0.0025 loss: 1.3127 03/10 22:37:46 - mmengine - INFO - Epoch(train) [52][3000/5005] lr: 1.0000e-02 eta: 11:52:03 time: 0.1930 data_time: 0.0024 loss: 1.3015 03/10 22:38:03 - mmengine - INFO - Epoch(train) [52][3100/5005] lr: 1.0000e-02 eta: 11:51:45 time: 0.1857 data_time: 0.0025 loss: 1.4588 03/10 22:38:21 - mmengine - INFO - Epoch(train) [52][3200/5005] lr: 1.0000e-02 eta: 11:51:27 time: 0.1707 data_time: 0.0023 loss: 1.5819 03/10 22:38:38 - mmengine - INFO - Epoch(train) [52][3300/5005] lr: 1.0000e-02 eta: 11:51:09 time: 0.1908 data_time: 0.0023 loss: 1.4858 03/10 22:38:55 - mmengine - INFO - Epoch(train) [52][3400/5005] lr: 1.0000e-02 eta: 11:50:51 time: 0.1698 data_time: 0.0024 loss: 1.2674 03/10 22:39:13 - mmengine - INFO - Epoch(train) [52][3500/5005] lr: 1.0000e-02 eta: 11:50:33 time: 0.1880 data_time: 0.0023 loss: 1.3883 03/10 22:39:30 - mmengine - INFO - Epoch(train) [52][3600/5005] lr: 1.0000e-02 eta: 11:50:15 time: 0.1847 data_time: 0.0022 loss: 1.3337 03/10 22:39:47 - mmengine - INFO - Epoch(train) [52][3700/5005] lr: 1.0000e-02 eta: 11:49:56 time: 0.1710 data_time: 0.0023 loss: 1.2401 03/10 22:39:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:40:05 - mmengine - INFO - Epoch(train) [52][3800/5005] lr: 1.0000e-02 eta: 11:49:38 time: 0.1683 data_time: 0.0026 loss: 1.3130 03/10 22:40:22 - mmengine - INFO - Epoch(train) [52][3900/5005] lr: 1.0000e-02 eta: 11:49:21 time: 0.1699 data_time: 0.0024 loss: 1.3382 03/10 22:40:40 - mmengine - INFO - Epoch(train) [52][4000/5005] lr: 1.0000e-02 eta: 11:49:03 time: 0.1702 data_time: 0.0022 loss: 1.3171 03/10 22:40:57 - mmengine - INFO - Epoch(train) [52][4100/5005] lr: 1.0000e-02 eta: 11:48:45 time: 0.1697 data_time: 0.0025 loss: 1.6433 03/10 22:41:14 - mmengine - INFO - Epoch(train) [52][4200/5005] lr: 1.0000e-02 eta: 11:48:27 time: 0.1804 data_time: 0.0027 loss: 1.3135 03/10 22:41:32 - mmengine - INFO - Epoch(train) [52][4300/5005] lr: 1.0000e-02 eta: 11:48:09 time: 0.1715 data_time: 0.0025 loss: 1.5324 03/10 22:41:49 - mmengine - INFO - Epoch(train) [52][4400/5005] lr: 1.0000e-02 eta: 11:47:51 time: 0.1708 data_time: 0.0024 loss: 1.4287 03/10 22:42:07 - mmengine - INFO - Epoch(train) [52][4500/5005] lr: 1.0000e-02 eta: 11:47:33 time: 0.1707 data_time: 0.0023 loss: 1.4947 03/10 22:42:24 - mmengine - INFO - Epoch(train) [52][4600/5005] lr: 1.0000e-02 eta: 11:47:15 time: 0.1687 data_time: 0.0023 loss: 1.3950 03/10 22:42:41 - mmengine - INFO - Epoch(train) [52][4700/5005] lr: 1.0000e-02 eta: 11:46:57 time: 0.1729 data_time: 0.0023 loss: 1.6418 03/10 22:42:49 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:42:58 - mmengine - INFO - Epoch(train) [52][4800/5005] lr: 1.0000e-02 eta: 11:46:38 time: 0.1704 data_time: 0.0022 loss: 1.3887 03/10 22:43:15 - mmengine - INFO - Epoch(train) [52][4900/5005] lr: 1.0000e-02 eta: 11:46:20 time: 0.1662 data_time: 0.0021 loss: 1.4805 03/10 22:43:32 - mmengine - INFO - Epoch(train) [52][5000/5005] lr: 1.0000e-02 eta: 11:46:02 time: 0.1681 data_time: 0.0023 loss: 1.4504 03/10 22:43:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:43:38 - mmengine - INFO - Saving checkpoint at 52 epochs 03/10 22:44:01 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:00:21 time: 0.0137 data_time: 0.0002 03/10 22:44:15 - mmengine - INFO - Epoch(val) [52][196/196] accuracy/top1: 70.8980 accuracy/top5: 90.4360 03/10 22:44:52 - mmengine - INFO - Epoch(train) [53][ 100/5005] lr: 1.0000e-02 eta: 11:46:00 time: 0.1711 data_time: 0.0022 loss: 1.5268 03/10 22:45:09 - mmengine - INFO - Epoch(train) [53][ 200/5005] lr: 1.0000e-02 eta: 11:45:42 time: 0.1710 data_time: 0.0025 loss: 1.1652 03/10 22:45:27 - mmengine - INFO - Epoch(train) [53][ 300/5005] lr: 1.0000e-02 eta: 11:45:24 time: 0.1725 data_time: 0.0023 loss: 1.3267 03/10 22:45:44 - mmengine - INFO - Epoch(train) [53][ 400/5005] lr: 1.0000e-02 eta: 11:45:07 time: 0.1715 data_time: 0.0028 loss: 1.2697 03/10 22:46:02 - mmengine - INFO - Epoch(train) [53][ 500/5005] lr: 1.0000e-02 eta: 11:44:49 time: 0.1721 data_time: 0.0027 loss: 1.2493 03/10 22:46:19 - mmengine - INFO - Epoch(train) [53][ 600/5005] lr: 1.0000e-02 eta: 11:44:31 time: 0.1905 data_time: 0.0026 loss: 1.3459 03/10 22:46:37 - mmengine - INFO - Epoch(train) [53][ 700/5005] lr: 1.0000e-02 eta: 11:44:13 time: 0.1698 data_time: 0.0024 loss: 1.4789 03/10 22:46:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:46:54 - mmengine - INFO - Epoch(train) [53][ 800/5005] lr: 1.0000e-02 eta: 11:43:55 time: 0.1709 data_time: 0.0024 loss: 1.2816 03/10 22:47:12 - mmengine - INFO - Epoch(train) [53][ 900/5005] lr: 1.0000e-02 eta: 11:43:37 time: 0.1920 data_time: 0.0025 loss: 1.3285 03/10 22:47:29 - mmengine - INFO - Epoch(train) [53][1000/5005] lr: 1.0000e-02 eta: 11:43:20 time: 0.1734 data_time: 0.0025 loss: 1.3604 03/10 22:47:47 - mmengine - INFO - Epoch(train) [53][1100/5005] lr: 1.0000e-02 eta: 11:43:02 time: 0.1681 data_time: 0.0024 loss: 1.4553 03/10 22:48:04 - mmengine - INFO - Epoch(train) [53][1200/5005] lr: 1.0000e-02 eta: 11:42:44 time: 0.1739 data_time: 0.0024 loss: 1.2934 03/10 22:48:21 - mmengine - INFO - Epoch(train) [53][1300/5005] lr: 1.0000e-02 eta: 11:42:26 time: 0.1691 data_time: 0.0024 loss: 1.4151 03/10 22:48:40 - mmengine - INFO - Epoch(train) [53][1400/5005] lr: 1.0000e-02 eta: 11:42:09 time: 0.1718 data_time: 0.0024 loss: 1.3139 03/10 22:48:57 - mmengine - INFO - Epoch(train) [53][1500/5005] lr: 1.0000e-02 eta: 11:41:51 time: 0.1683 data_time: 0.0024 loss: 1.4079 03/10 22:49:15 - mmengine - INFO - Epoch(train) [53][1600/5005] lr: 1.0000e-02 eta: 11:41:33 time: 0.2043 data_time: 0.0025 loss: 1.4985 03/10 22:49:32 - mmengine - INFO - Epoch(train) [53][1700/5005] lr: 1.0000e-02 eta: 11:41:15 time: 0.1710 data_time: 0.0027 loss: 1.6145 03/10 22:49:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:49:50 - mmengine - INFO - Epoch(train) [53][1800/5005] lr: 1.0000e-02 eta: 11:40:57 time: 0.1717 data_time: 0.0026 loss: 1.3495 03/10 22:50:07 - mmengine - INFO - Epoch(train) [53][1900/5005] lr: 1.0000e-02 eta: 11:40:39 time: 0.1712 data_time: 0.0025 loss: 1.4329 03/10 22:50:24 - mmengine - INFO - Epoch(train) [53][2000/5005] lr: 1.0000e-02 eta: 11:40:21 time: 0.1712 data_time: 0.0026 loss: 1.4190 03/10 22:50:42 - mmengine - INFO - Epoch(train) [53][2100/5005] lr: 1.0000e-02 eta: 11:40:03 time: 0.1705 data_time: 0.0024 loss: 1.3182 03/10 22:50:59 - mmengine - INFO - Epoch(train) [53][2200/5005] lr: 1.0000e-02 eta: 11:39:45 time: 0.1726 data_time: 0.0023 loss: 1.5369 03/10 22:51:17 - mmengine - INFO - Epoch(train) [53][2300/5005] lr: 1.0000e-02 eta: 11:39:27 time: 0.1710 data_time: 0.0025 loss: 1.3198 03/10 22:51:34 - mmengine - INFO - Epoch(train) [53][2400/5005] lr: 1.0000e-02 eta: 11:39:10 time: 0.1710 data_time: 0.0025 loss: 1.4726 03/10 22:51:51 - mmengine - INFO - Epoch(train) [53][2500/5005] lr: 1.0000e-02 eta: 11:38:51 time: 0.1698 data_time: 0.0023 loss: 1.2940 03/10 22:52:09 - mmengine - INFO - Epoch(train) [53][2600/5005] lr: 1.0000e-02 eta: 11:38:33 time: 0.1719 data_time: 0.0024 loss: 1.3678 03/10 22:52:26 - mmengine - INFO - Epoch(train) [53][2700/5005] lr: 1.0000e-02 eta: 11:38:16 time: 0.1702 data_time: 0.0023 loss: 1.3751 03/10 22:52:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:52:44 - mmengine - INFO - Epoch(train) [53][2800/5005] lr: 1.0000e-02 eta: 11:37:57 time: 0.1715 data_time: 0.0025 loss: 1.3867 03/10 22:53:01 - mmengine - INFO - Epoch(train) [53][2900/5005] lr: 1.0000e-02 eta: 11:37:39 time: 0.1714 data_time: 0.0025 loss: 1.2434 03/10 22:53:18 - mmengine - INFO - Epoch(train) [53][3000/5005] lr: 1.0000e-02 eta: 11:37:22 time: 0.1710 data_time: 0.0022 loss: 1.3524 03/10 22:53:35 - mmengine - INFO - Epoch(train) [53][3100/5005] lr: 1.0000e-02 eta: 11:37:03 time: 0.1673 data_time: 0.0024 loss: 1.4477 03/10 22:53:53 - mmengine - INFO - Epoch(train) [53][3200/5005] lr: 1.0000e-02 eta: 11:36:45 time: 0.1695 data_time: 0.0023 loss: 1.3786 03/10 22:54:10 - mmengine - INFO - Epoch(train) [53][3300/5005] lr: 1.0000e-02 eta: 11:36:28 time: 0.1708 data_time: 0.0023 loss: 1.3646 03/10 22:54:28 - mmengine - INFO - Epoch(train) [53][3400/5005] lr: 1.0000e-02 eta: 11:36:10 time: 0.1712 data_time: 0.0025 loss: 1.3994 03/10 22:54:45 - mmengine - INFO - Epoch(train) [53][3500/5005] lr: 1.0000e-02 eta: 11:35:51 time: 0.1700 data_time: 0.0025 loss: 1.2290 03/10 22:55:02 - mmengine - INFO - Epoch(train) [53][3600/5005] lr: 1.0000e-02 eta: 11:35:34 time: 0.1726 data_time: 0.0023 loss: 1.2654 03/10 22:55:20 - mmengine - INFO - Epoch(train) [53][3700/5005] lr: 1.0000e-02 eta: 11:35:16 time: 0.1706 data_time: 0.0024 loss: 1.1954 03/10 22:55:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:55:37 - mmengine - INFO - Epoch(train) [53][3800/5005] lr: 1.0000e-02 eta: 11:34:58 time: 0.1977 data_time: 0.0026 loss: 1.3805 03/10 22:55:55 - mmengine - INFO - Epoch(train) [53][3900/5005] lr: 1.0000e-02 eta: 11:34:40 time: 0.1719 data_time: 0.0024 loss: 1.3581 03/10 22:56:12 - mmengine - INFO - Epoch(train) [53][4000/5005] lr: 1.0000e-02 eta: 11:34:22 time: 0.1694 data_time: 0.0025 loss: 1.2674 03/10 22:56:29 - mmengine - INFO - Epoch(train) [53][4100/5005] lr: 1.0000e-02 eta: 11:34:04 time: 0.1707 data_time: 0.0024 loss: 1.4903 03/10 22:56:47 - mmengine - INFO - Epoch(train) [53][4200/5005] lr: 1.0000e-02 eta: 11:33:46 time: 0.1699 data_time: 0.0023 loss: 1.2788 03/10 22:57:04 - mmengine - INFO - Epoch(train) [53][4300/5005] lr: 1.0000e-02 eta: 11:33:28 time: 0.1707 data_time: 0.0024 loss: 1.2651 03/10 22:57:21 - mmengine - INFO - Epoch(train) [53][4400/5005] lr: 1.0000e-02 eta: 11:33:10 time: 0.1726 data_time: 0.0023 loss: 1.5955 03/10 22:57:39 - mmengine - INFO - Epoch(train) [53][4500/5005] lr: 1.0000e-02 eta: 11:32:52 time: 0.1694 data_time: 0.0023 loss: 1.4434 03/10 22:57:56 - mmengine - INFO - Epoch(train) [53][4600/5005] lr: 1.0000e-02 eta: 11:32:34 time: 0.1694 data_time: 0.0024 loss: 1.1851 03/10 22:58:14 - mmengine - INFO - Epoch(train) [53][4700/5005] lr: 1.0000e-02 eta: 11:32:16 time: 0.1699 data_time: 0.0024 loss: 1.2190 03/10 22:58:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:58:31 - mmengine - INFO - Epoch(train) [53][4800/5005] lr: 1.0000e-02 eta: 11:31:58 time: 0.1675 data_time: 0.0021 loss: 1.4286 03/10 22:58:48 - mmengine - INFO - Epoch(train) [53][4900/5005] lr: 1.0000e-02 eta: 11:31:40 time: 0.1686 data_time: 0.0021 loss: 1.2992 03/10 22:59:05 - mmengine - INFO - Epoch(train) [53][5000/5005] lr: 1.0000e-02 eta: 11:31:21 time: 0.1687 data_time: 0.0022 loss: 1.2279 03/10 22:59:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 22:59:11 - mmengine - INFO - Saving checkpoint at 53 epochs 03/10 22:59:31 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:00:18 time: 0.0171 data_time: 0.0004 03/10 22:59:45 - mmengine - INFO - Epoch(val) [53][196/196] accuracy/top1: 71.4960 accuracy/top5: 90.6460 03/10 23:00:22 - mmengine - INFO - Epoch(train) [54][ 100/5005] lr: 1.0000e-02 eta: 11:31:20 time: 0.1736 data_time: 0.0034 loss: 1.3822 03/10 23:00:40 - mmengine - INFO - Epoch(train) [54][ 200/5005] lr: 1.0000e-02 eta: 11:31:02 time: 0.1697 data_time: 0.0023 loss: 1.2161 03/10 23:00:58 - mmengine - INFO - Epoch(train) [54][ 300/5005] lr: 1.0000e-02 eta: 11:30:44 time: 0.1699 data_time: 0.0024 loss: 1.2336 03/10 23:01:15 - mmengine - INFO - Epoch(train) [54][ 400/5005] lr: 1.0000e-02 eta: 11:30:26 time: 0.1704 data_time: 0.0026 loss: 1.2242 03/10 23:01:32 - mmengine - INFO - Epoch(train) [54][ 500/5005] lr: 1.0000e-02 eta: 11:30:08 time: 0.1700 data_time: 0.0023 loss: 1.4697 03/10 23:01:50 - mmengine - INFO - Epoch(train) [54][ 600/5005] lr: 1.0000e-02 eta: 11:29:51 time: 0.1724 data_time: 0.0025 loss: 1.3830 03/10 23:02:08 - mmengine - INFO - Epoch(train) [54][ 700/5005] lr: 1.0000e-02 eta: 11:29:33 time: 0.1715 data_time: 0.0023 loss: 1.3922 03/10 23:02:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:02:25 - mmengine - INFO - Epoch(train) [54][ 800/5005] lr: 1.0000e-02 eta: 11:29:15 time: 0.1716 data_time: 0.0023 loss: 1.5027 03/10 23:02:42 - mmengine - INFO - Epoch(train) [54][ 900/5005] lr: 1.0000e-02 eta: 11:28:57 time: 0.1680 data_time: 0.0023 loss: 1.4143 03/10 23:03:00 - mmengine - INFO - Epoch(train) [54][1000/5005] lr: 1.0000e-02 eta: 11:28:39 time: 0.1717 data_time: 0.0024 loss: 1.2133 03/10 23:03:17 - mmengine - INFO - Epoch(train) [54][1100/5005] lr: 1.0000e-02 eta: 11:28:21 time: 0.1737 data_time: 0.0024 loss: 1.5403 03/10 23:03:35 - mmengine - INFO - Epoch(train) [54][1200/5005] lr: 1.0000e-02 eta: 11:28:03 time: 0.1693 data_time: 0.0024 loss: 1.3876 03/10 23:03:52 - mmengine - INFO - Epoch(train) [54][1300/5005] lr: 1.0000e-02 eta: 11:27:45 time: 0.1709 data_time: 0.0024 loss: 1.3487 03/10 23:04:10 - mmengine - INFO - Epoch(train) [54][1400/5005] lr: 1.0000e-02 eta: 11:27:28 time: 0.1699 data_time: 0.0023 loss: 1.3966 03/10 23:04:27 - mmengine - INFO - Epoch(train) [54][1500/5005] lr: 1.0000e-02 eta: 11:27:10 time: 0.1702 data_time: 0.0023 loss: 1.2168 03/10 23:04:44 - mmengine - INFO - Epoch(train) [54][1600/5005] lr: 1.0000e-02 eta: 11:26:51 time: 0.1698 data_time: 0.0023 loss: 1.2924 03/10 23:05:02 - mmengine - INFO - Epoch(train) [54][1700/5005] lr: 1.0000e-02 eta: 11:26:34 time: 0.1713 data_time: 0.0022 loss: 1.5910 03/10 23:05:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:05:19 - mmengine - INFO - Epoch(train) [54][1800/5005] lr: 1.0000e-02 eta: 11:26:16 time: 0.1693 data_time: 0.0023 loss: 1.4228 03/10 23:05:37 - mmengine - INFO - Epoch(train) [54][1900/5005] lr: 1.0000e-02 eta: 11:25:58 time: 0.1694 data_time: 0.0026 loss: 1.6512 03/10 23:05:54 - mmengine - INFO - Epoch(train) [54][2000/5005] lr: 1.0000e-02 eta: 11:25:40 time: 0.1698 data_time: 0.0025 loss: 1.5403 03/10 23:06:12 - mmengine - INFO - Epoch(train) [54][2100/5005] lr: 1.0000e-02 eta: 11:25:22 time: 0.1714 data_time: 0.0025 loss: 1.4552 03/10 23:06:29 - mmengine - INFO - Epoch(train) [54][2200/5005] lr: 1.0000e-02 eta: 11:25:04 time: 0.1697 data_time: 0.0026 loss: 1.3477 03/10 23:06:46 - mmengine - INFO - Epoch(train) [54][2300/5005] lr: 1.0000e-02 eta: 11:24:46 time: 0.1716 data_time: 0.0026 loss: 1.4728 03/10 23:07:04 - mmengine - INFO - Epoch(train) [54][2400/5005] lr: 1.0000e-02 eta: 11:24:28 time: 0.1708 data_time: 0.0026 loss: 1.1952 03/10 23:07:21 - mmengine - INFO - Epoch(train) [54][2500/5005] lr: 1.0000e-02 eta: 11:24:10 time: 0.1708 data_time: 0.0025 loss: 1.3372 03/10 23:07:39 - mmengine - INFO - Epoch(train) [54][2600/5005] lr: 1.0000e-02 eta: 11:23:52 time: 0.1880 data_time: 0.0028 loss: 1.4726 03/10 23:07:56 - mmengine - INFO - Epoch(train) [54][2700/5005] lr: 1.0000e-02 eta: 11:23:34 time: 0.1709 data_time: 0.0025 loss: 1.3560 03/10 23:08:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:08:13 - mmengine - INFO - Epoch(train) [54][2800/5005] lr: 1.0000e-02 eta: 11:23:16 time: 0.1706 data_time: 0.0023 loss: 1.4900 03/10 23:08:31 - mmengine - INFO - Epoch(train) [54][2900/5005] lr: 1.0000e-02 eta: 11:22:58 time: 0.1680 data_time: 0.0027 loss: 1.4401 03/10 23:08:49 - mmengine - INFO - Epoch(train) [54][3000/5005] lr: 1.0000e-02 eta: 11:22:41 time: 0.1712 data_time: 0.0024 loss: 1.4473 03/10 23:09:06 - mmengine - INFO - Epoch(train) [54][3100/5005] lr: 1.0000e-02 eta: 11:22:23 time: 0.1701 data_time: 0.0024 loss: 1.5105 03/10 23:09:24 - mmengine - INFO - Epoch(train) [54][3200/5005] lr: 1.0000e-02 eta: 11:22:05 time: 0.1696 data_time: 0.0027 loss: 1.2074 03/10 23:09:41 - mmengine - INFO - Epoch(train) [54][3300/5005] lr: 1.0000e-02 eta: 11:21:47 time: 0.1714 data_time: 0.0024 loss: 1.3002 03/10 23:09:58 - mmengine - INFO - Epoch(train) [54][3400/5005] lr: 1.0000e-02 eta: 11:21:29 time: 0.1696 data_time: 0.0027 loss: 1.2984 03/10 23:10:15 - mmengine - INFO - Epoch(train) [54][3500/5005] lr: 1.0000e-02 eta: 11:21:11 time: 0.1694 data_time: 0.0024 loss: 1.2953 03/10 23:10:33 - mmengine - INFO - Epoch(train) [54][3600/5005] lr: 1.0000e-02 eta: 11:20:53 time: 0.1715 data_time: 0.0024 loss: 1.4501 03/10 23:10:50 - mmengine - INFO - Epoch(train) [54][3700/5005] lr: 1.0000e-02 eta: 11:20:35 time: 0.1715 data_time: 0.0024 loss: 1.5555 03/10 23:10:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:11:08 - mmengine - INFO - Epoch(train) [54][3800/5005] lr: 1.0000e-02 eta: 11:20:17 time: 0.1687 data_time: 0.0025 loss: 1.3424 03/10 23:11:25 - mmengine - INFO - Epoch(train) [54][3900/5005] lr: 1.0000e-02 eta: 11:19:59 time: 0.1720 data_time: 0.0024 loss: 1.3080 03/10 23:11:42 - mmengine - INFO - Epoch(train) [54][4000/5005] lr: 1.0000e-02 eta: 11:19:41 time: 0.1699 data_time: 0.0023 loss: 1.6293 03/10 23:12:00 - mmengine - INFO - Epoch(train) [54][4100/5005] lr: 1.0000e-02 eta: 11:19:23 time: 0.1708 data_time: 0.0023 loss: 1.3103 03/10 23:12:17 - mmengine - INFO - Epoch(train) [54][4200/5005] lr: 1.0000e-02 eta: 11:19:06 time: 0.1718 data_time: 0.0025 loss: 1.4956 03/10 23:12:35 - mmengine - INFO - Epoch(train) [54][4300/5005] lr: 1.0000e-02 eta: 11:18:48 time: 0.1703 data_time: 0.0024 loss: 1.4137 03/10 23:12:52 - mmengine - INFO - Epoch(train) [54][4400/5005] lr: 1.0000e-02 eta: 11:18:30 time: 0.1732 data_time: 0.0026 loss: 1.3157 03/10 23:13:10 - mmengine - INFO - Epoch(train) [54][4500/5005] lr: 1.0000e-02 eta: 11:18:12 time: 0.1706 data_time: 0.0024 loss: 1.1625 03/10 23:13:27 - mmengine - INFO - Epoch(train) [54][4600/5005] lr: 1.0000e-02 eta: 11:17:54 time: 0.1858 data_time: 0.0024 loss: 1.4134 03/10 23:13:44 - mmengine - INFO - Epoch(train) [54][4700/5005] lr: 1.0000e-02 eta: 11:17:36 time: 0.1844 data_time: 0.0025 loss: 1.3217 03/10 23:13:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:14:01 - mmengine - INFO - Epoch(train) [54][4800/5005] lr: 1.0000e-02 eta: 11:17:18 time: 0.1679 data_time: 0.0022 loss: 1.4472 03/10 23:14:18 - mmengine - INFO - Epoch(train) [54][4900/5005] lr: 1.0000e-02 eta: 11:16:59 time: 0.1679 data_time: 0.0022 loss: 1.3506 03/10 23:14:35 - mmengine - INFO - Epoch(train) [54][5000/5005] lr: 1.0000e-02 eta: 11:16:41 time: 0.1698 data_time: 0.0020 loss: 1.3815 03/10 23:14:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:14:41 - mmengine - INFO - Saving checkpoint at 54 epochs 03/10 23:15:01 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:00:18 time: 0.0219 data_time: 0.0005 03/10 23:15:16 - mmengine - INFO - Epoch(val) [54][196/196] accuracy/top1: 71.4780 accuracy/top5: 90.5360 03/10 23:15:53 - mmengine - INFO - Epoch(train) [55][ 100/5005] lr: 1.0000e-02 eta: 11:16:40 time: 0.1771 data_time: 0.0026 loss: 1.2640 03/10 23:16:11 - mmengine - INFO - Epoch(train) [55][ 200/5005] lr: 1.0000e-02 eta: 11:16:22 time: 0.1775 data_time: 0.0025 loss: 1.4144 03/10 23:16:29 - mmengine - INFO - Epoch(train) [55][ 300/5005] lr: 1.0000e-02 eta: 11:16:04 time: 0.1962 data_time: 0.0022 loss: 1.4537 03/10 23:16:46 - mmengine - INFO - Epoch(train) [55][ 400/5005] lr: 1.0000e-02 eta: 11:15:46 time: 0.1709 data_time: 0.0027 loss: 1.1691 03/10 23:17:04 - mmengine - INFO - Epoch(train) [55][ 500/5005] lr: 1.0000e-02 eta: 11:15:29 time: 0.1769 data_time: 0.0024 loss: 1.2863 03/10 23:17:22 - mmengine - INFO - Epoch(train) [55][ 600/5005] lr: 1.0000e-02 eta: 11:15:11 time: 0.1708 data_time: 0.0023 loss: 1.0951 03/10 23:17:40 - mmengine - INFO - Epoch(train) [55][ 700/5005] lr: 1.0000e-02 eta: 11:14:54 time: 0.1696 data_time: 0.0026 loss: 1.4370 03/10 23:17:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:17:57 - mmengine - INFO - Epoch(train) [55][ 800/5005] lr: 1.0000e-02 eta: 11:14:35 time: 0.1703 data_time: 0.0028 loss: 1.2571 03/10 23:18:15 - mmengine - INFO - Epoch(train) [55][ 900/5005] lr: 1.0000e-02 eta: 11:14:18 time: 0.1721 data_time: 0.0024 loss: 1.2502 03/10 23:18:34 - mmengine - INFO - Epoch(train) [55][1000/5005] lr: 1.0000e-02 eta: 11:14:01 time: 0.1732 data_time: 0.0028 loss: 1.3430 03/10 23:18:51 - mmengine - INFO - Epoch(train) [55][1100/5005] lr: 1.0000e-02 eta: 11:13:43 time: 0.1707 data_time: 0.0022 loss: 1.2127 03/10 23:19:09 - mmengine - INFO - Epoch(train) [55][1200/5005] lr: 1.0000e-02 eta: 11:13:25 time: 0.1703 data_time: 0.0026 loss: 1.5047 03/10 23:19:26 - mmengine - INFO - Epoch(train) [55][1300/5005] lr: 1.0000e-02 eta: 11:13:08 time: 0.1709 data_time: 0.0024 loss: 1.4208 03/10 23:19:43 - mmengine - INFO - Epoch(train) [55][1400/5005] lr: 1.0000e-02 eta: 11:12:50 time: 0.1729 data_time: 0.0026 loss: 1.4461 03/10 23:20:01 - mmengine - INFO - Epoch(train) [55][1500/5005] lr: 1.0000e-02 eta: 11:12:32 time: 0.1692 data_time: 0.0023 loss: 1.3656 03/10 23:20:18 - mmengine - INFO - Epoch(train) [55][1600/5005] lr: 1.0000e-02 eta: 11:12:14 time: 0.1690 data_time: 0.0024 loss: 1.2812 03/10 23:20:35 - mmengine - INFO - Epoch(train) [55][1700/5005] lr: 1.0000e-02 eta: 11:11:56 time: 0.1726 data_time: 0.0026 loss: 1.4752 03/10 23:20:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:20:53 - mmengine - INFO - Epoch(train) [55][1800/5005] lr: 1.0000e-02 eta: 11:11:38 time: 0.1738 data_time: 0.0024 loss: 1.3878 03/10 23:21:11 - mmengine - INFO - Epoch(train) [55][1900/5005] lr: 1.0000e-02 eta: 11:11:20 time: 0.1724 data_time: 0.0023 loss: 1.4266 03/10 23:21:28 - mmengine - INFO - Epoch(train) [55][2000/5005] lr: 1.0000e-02 eta: 11:11:02 time: 0.1727 data_time: 0.0023 loss: 1.3796 03/10 23:21:46 - mmengine - INFO - Epoch(train) [55][2100/5005] lr: 1.0000e-02 eta: 11:10:44 time: 0.1691 data_time: 0.0024 loss: 1.4434 03/10 23:22:03 - mmengine - INFO - Epoch(train) [55][2200/5005] lr: 1.0000e-02 eta: 11:10:26 time: 0.1699 data_time: 0.0022 loss: 1.4736 03/10 23:22:20 - mmengine - INFO - Epoch(train) [55][2300/5005] lr: 1.0000e-02 eta: 11:10:08 time: 0.1704 data_time: 0.0025 loss: 1.2100 03/10 23:22:37 - mmengine - INFO - Epoch(train) [55][2400/5005] lr: 1.0000e-02 eta: 11:09:50 time: 0.1701 data_time: 0.0023 loss: 1.4599 03/10 23:22:55 - mmengine - INFO - Epoch(train) [55][2500/5005] lr: 1.0000e-02 eta: 11:09:32 time: 0.1700 data_time: 0.0022 loss: 1.6075 03/10 23:23:12 - mmengine - INFO - Epoch(train) [55][2600/5005] lr: 1.0000e-02 eta: 11:09:14 time: 0.1706 data_time: 0.0025 loss: 1.2045 03/10 23:23:29 - mmengine - INFO - Epoch(train) [55][2700/5005] lr: 1.0000e-02 eta: 11:08:56 time: 0.1722 data_time: 0.0025 loss: 1.3147 03/10 23:23:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:23:47 - mmengine - INFO - Epoch(train) [55][2800/5005] lr: 1.0000e-02 eta: 11:08:38 time: 0.1695 data_time: 0.0023 loss: 1.2152 03/10 23:24:04 - mmengine - INFO - Epoch(train) [55][2900/5005] lr: 1.0000e-02 eta: 11:08:20 time: 0.1720 data_time: 0.0024 loss: 1.3752 03/10 23:24:21 - mmengine - INFO - Epoch(train) [55][3000/5005] lr: 1.0000e-02 eta: 11:08:02 time: 0.1702 data_time: 0.0023 loss: 1.3486 03/10 23:24:39 - mmengine - INFO - Epoch(train) [55][3100/5005] lr: 1.0000e-02 eta: 11:07:45 time: 0.1738 data_time: 0.0024 loss: 1.2410 03/10 23:24:56 - mmengine - INFO - Epoch(train) [55][3200/5005] lr: 1.0000e-02 eta: 11:07:27 time: 0.1701 data_time: 0.0026 loss: 1.1962 03/10 23:25:14 - mmengine - INFO - Epoch(train) [55][3300/5005] lr: 1.0000e-02 eta: 11:07:09 time: 0.1703 data_time: 0.0025 loss: 1.2380 03/10 23:25:31 - mmengine - INFO - Epoch(train) [55][3400/5005] lr: 1.0000e-02 eta: 11:06:51 time: 0.1704 data_time: 0.0026 loss: 1.2145 03/10 23:25:48 - mmengine - INFO - Epoch(train) [55][3500/5005] lr: 1.0000e-02 eta: 11:06:33 time: 0.1688 data_time: 0.0024 loss: 1.2632 03/10 23:26:06 - mmengine - INFO - Epoch(train) [55][3600/5005] lr: 1.0000e-02 eta: 11:06:15 time: 0.1700 data_time: 0.0026 loss: 1.1869 03/10 23:26:23 - mmengine - INFO - Epoch(train) [55][3700/5005] lr: 1.0000e-02 eta: 11:05:57 time: 0.1704 data_time: 0.0027 loss: 1.2311 03/10 23:26:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:26:41 - mmengine - INFO - Epoch(train) [55][3800/5005] lr: 1.0000e-02 eta: 11:05:39 time: 0.1717 data_time: 0.0024 loss: 1.3383 03/10 23:26:58 - mmengine - INFO - Epoch(train) [55][3900/5005] lr: 1.0000e-02 eta: 11:05:21 time: 0.1717 data_time: 0.0023 loss: 1.3608 03/10 23:27:16 - mmengine - INFO - Epoch(train) [55][4000/5005] lr: 1.0000e-02 eta: 11:05:03 time: 0.1706 data_time: 0.0025 loss: 1.3793 03/10 23:27:33 - mmengine - INFO - Epoch(train) [55][4100/5005] lr: 1.0000e-02 eta: 11:04:45 time: 0.1708 data_time: 0.0026 loss: 1.4363 03/10 23:27:50 - mmengine - INFO - Epoch(train) [55][4200/5005] lr: 1.0000e-02 eta: 11:04:27 time: 0.1687 data_time: 0.0024 loss: 1.4054 03/10 23:28:08 - mmengine - INFO - Epoch(train) [55][4300/5005] lr: 1.0000e-02 eta: 11:04:10 time: 0.1742 data_time: 0.0025 loss: 1.3689 03/10 23:28:25 - mmengine - INFO - Epoch(train) [55][4400/5005] lr: 1.0000e-02 eta: 11:03:52 time: 0.1703 data_time: 0.0024 loss: 1.3317 03/10 23:28:43 - mmengine - INFO - Epoch(train) [55][4500/5005] lr: 1.0000e-02 eta: 11:03:34 time: 0.1941 data_time: 0.0025 loss: 1.4281 03/10 23:29:00 - mmengine - INFO - Epoch(train) [55][4600/5005] lr: 1.0000e-02 eta: 11:03:16 time: 0.1701 data_time: 0.0023 loss: 1.2953 03/10 23:29:17 - mmengine - INFO - Epoch(train) [55][4700/5005] lr: 1.0000e-02 eta: 11:02:58 time: 0.1700 data_time: 0.0024 loss: 1.4537 03/10 23:29:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:29:35 - mmengine - INFO - Epoch(train) [55][4800/5005] lr: 1.0000e-02 eta: 11:02:40 time: 0.1686 data_time: 0.0023 loss: 1.3689 03/10 23:29:52 - mmengine - INFO - Epoch(train) [55][4900/5005] lr: 1.0000e-02 eta: 11:02:22 time: 0.1667 data_time: 0.0023 loss: 1.4876 03/10 23:30:09 - mmengine - INFO - Epoch(train) [55][5000/5005] lr: 1.0000e-02 eta: 11:02:03 time: 0.1690 data_time: 0.0025 loss: 1.4352 03/10 23:30:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:30:15 - mmengine - INFO - Saving checkpoint at 55 epochs 03/10 23:30:36 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:00:19 time: 0.0241 data_time: 0.0004 03/10 23:30:50 - mmengine - INFO - Epoch(val) [55][196/196] accuracy/top1: 71.2180 accuracy/top5: 90.6560 03/10 23:31:26 - mmengine - INFO - Epoch(train) [56][ 100/5005] lr: 1.0000e-02 eta: 11:02:00 time: 0.1725 data_time: 0.0031 loss: 1.2450 03/10 23:31:43 - mmengine - INFO - Epoch(train) [56][ 200/5005] lr: 1.0000e-02 eta: 11:01:42 time: 0.1721 data_time: 0.0024 loss: 1.4742 03/10 23:32:01 - mmengine - INFO - Epoch(train) [56][ 300/5005] lr: 1.0000e-02 eta: 11:01:24 time: 0.1716 data_time: 0.0029 loss: 1.2966 03/10 23:32:18 - mmengine - INFO - Epoch(train) [56][ 400/5005] lr: 1.0000e-02 eta: 11:01:06 time: 0.1720 data_time: 0.0028 loss: 1.2902 03/10 23:32:36 - mmengine - INFO - Epoch(train) [56][ 500/5005] lr: 1.0000e-02 eta: 11:00:48 time: 0.1733 data_time: 0.0025 loss: 1.3911 03/10 23:32:53 - mmengine - INFO - Epoch(train) [56][ 600/5005] lr: 1.0000e-02 eta: 11:00:30 time: 0.1929 data_time: 0.0023 loss: 1.2078 03/10 23:33:11 - mmengine - INFO - Epoch(train) [56][ 700/5005] lr: 1.0000e-02 eta: 11:00:13 time: 0.1708 data_time: 0.0025 loss: 1.4752 03/10 23:33:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:33:29 - mmengine - INFO - Epoch(train) [56][ 800/5005] lr: 1.0000e-02 eta: 10:59:55 time: 0.1723 data_time: 0.0026 loss: 1.4147 03/10 23:33:46 - mmengine - INFO - Epoch(train) [56][ 900/5005] lr: 1.0000e-02 eta: 10:59:37 time: 0.1710 data_time: 0.0025 loss: 1.1341 03/10 23:34:04 - mmengine - INFO - Epoch(train) [56][1000/5005] lr: 1.0000e-02 eta: 10:59:19 time: 0.1718 data_time: 0.0025 loss: 1.1623 03/10 23:34:21 - mmengine - INFO - Epoch(train) [56][1100/5005] lr: 1.0000e-02 eta: 10:59:01 time: 0.1723 data_time: 0.0022 loss: 1.2792 03/10 23:34:39 - mmengine - INFO - Epoch(train) [56][1200/5005] lr: 1.0000e-02 eta: 10:58:44 time: 0.1917 data_time: 0.0022 loss: 1.3885 03/10 23:34:56 - mmengine - INFO - Epoch(train) [56][1300/5005] lr: 1.0000e-02 eta: 10:58:26 time: 0.1714 data_time: 0.0025 loss: 1.3187 03/10 23:35:14 - mmengine - INFO - Epoch(train) [56][1400/5005] lr: 1.0000e-02 eta: 10:58:08 time: 0.1713 data_time: 0.0026 loss: 1.3619 03/10 23:35:31 - mmengine - INFO - Epoch(train) [56][1500/5005] lr: 1.0000e-02 eta: 10:57:50 time: 0.1695 data_time: 0.0027 loss: 1.4156 03/10 23:35:48 - mmengine - INFO - Epoch(train) [56][1600/5005] lr: 1.0000e-02 eta: 10:57:32 time: 0.1702 data_time: 0.0025 loss: 1.1808 03/10 23:36:06 - mmengine - INFO - Epoch(train) [56][1700/5005] lr: 1.0000e-02 eta: 10:57:14 time: 0.1709 data_time: 0.0026 loss: 1.3058 03/10 23:36:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:36:23 - mmengine - INFO - Epoch(train) [56][1800/5005] lr: 1.0000e-02 eta: 10:56:56 time: 0.1702 data_time: 0.0025 loss: 1.5144 03/10 23:36:41 - mmengine - INFO - Epoch(train) [56][1900/5005] lr: 1.0000e-02 eta: 10:56:38 time: 0.1850 data_time: 0.0026 loss: 1.4104 03/10 23:36:58 - mmengine - INFO - Epoch(train) [56][2000/5005] lr: 1.0000e-02 eta: 10:56:20 time: 0.1694 data_time: 0.0024 loss: 1.3302 03/10 23:37:15 - mmengine - INFO - Epoch(train) [56][2100/5005] lr: 1.0000e-02 eta: 10:56:02 time: 0.1696 data_time: 0.0025 loss: 1.2145 03/10 23:37:33 - mmengine - INFO - Epoch(train) [56][2200/5005] lr: 1.0000e-02 eta: 10:55:44 time: 0.1716 data_time: 0.0026 loss: 1.5038 03/10 23:37:50 - mmengine - INFO - Epoch(train) [56][2300/5005] lr: 1.0000e-02 eta: 10:55:26 time: 0.1747 data_time: 0.0024 loss: 1.3531 03/10 23:38:08 - mmengine - INFO - Epoch(train) [56][2400/5005] lr: 1.0000e-02 eta: 10:55:09 time: 0.1696 data_time: 0.0024 loss: 1.4327 03/10 23:38:25 - mmengine - INFO - Epoch(train) [56][2500/5005] lr: 1.0000e-02 eta: 10:54:51 time: 0.1695 data_time: 0.0025 loss: 1.3829 03/10 23:38:43 - mmengine - INFO - Epoch(train) [56][2600/5005] lr: 1.0000e-02 eta: 10:54:33 time: 0.1716 data_time: 0.0026 loss: 1.2982 03/10 23:39:00 - mmengine - INFO - Epoch(train) [56][2700/5005] lr: 1.0000e-02 eta: 10:54:15 time: 0.1688 data_time: 0.0027 loss: 1.2369 03/10 23:39:05 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:39:18 - mmengine - INFO - Epoch(train) [56][2800/5005] lr: 1.0000e-02 eta: 10:53:57 time: 0.1682 data_time: 0.0023 loss: 1.2599 03/10 23:39:35 - mmengine - INFO - Epoch(train) [56][2900/5005] lr: 1.0000e-02 eta: 10:53:40 time: 0.1904 data_time: 0.0027 loss: 1.3998 03/10 23:39:53 - mmengine - INFO - Epoch(train) [56][3000/5005] lr: 1.0000e-02 eta: 10:53:21 time: 0.1686 data_time: 0.0024 loss: 1.2527 03/10 23:40:10 - mmengine - INFO - Epoch(train) [56][3100/5005] lr: 1.0000e-02 eta: 10:53:03 time: 0.1696 data_time: 0.0024 loss: 1.4741 03/10 23:40:28 - mmengine - INFO - Epoch(train) [56][3200/5005] lr: 1.0000e-02 eta: 10:52:46 time: 0.1712 data_time: 0.0024 loss: 1.1784 03/10 23:40:45 - mmengine - INFO - Epoch(train) [56][3300/5005] lr: 1.0000e-02 eta: 10:52:28 time: 0.1700 data_time: 0.0024 loss: 1.2125 03/10 23:41:02 - mmengine - INFO - Epoch(train) [56][3400/5005] lr: 1.0000e-02 eta: 10:52:10 time: 0.1703 data_time: 0.0025 loss: 1.3278 03/10 23:41:20 - mmengine - INFO - Epoch(train) [56][3500/5005] lr: 1.0000e-02 eta: 10:51:52 time: 0.1706 data_time: 0.0026 loss: 1.2128 03/10 23:41:37 - mmengine - INFO - Epoch(train) [56][3600/5005] lr: 1.0000e-02 eta: 10:51:34 time: 0.1690 data_time: 0.0024 loss: 1.4935 03/10 23:41:55 - mmengine - INFO - Epoch(train) [56][3700/5005] lr: 1.0000e-02 eta: 10:51:16 time: 0.1695 data_time: 0.0025 loss: 1.3366 03/10 23:41:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:42:12 - mmengine - INFO - Epoch(train) [56][3800/5005] lr: 1.0000e-02 eta: 10:50:58 time: 0.1702 data_time: 0.0025 loss: 1.3067 03/10 23:42:29 - mmengine - INFO - Epoch(train) [56][3900/5005] lr: 1.0000e-02 eta: 10:50:40 time: 0.1687 data_time: 0.0026 loss: 1.4505 03/10 23:42:47 - mmengine - INFO - Epoch(train) [56][4000/5005] lr: 1.0000e-02 eta: 10:50:22 time: 0.1706 data_time: 0.0026 loss: 1.5274 03/10 23:43:05 - mmengine - INFO - Epoch(train) [56][4100/5005] lr: 1.0000e-02 eta: 10:50:05 time: 0.1939 data_time: 0.0025 loss: 1.5389 03/10 23:43:22 - mmengine - INFO - Epoch(train) [56][4200/5005] lr: 1.0000e-02 eta: 10:49:47 time: 0.1676 data_time: 0.0024 loss: 1.3442 03/10 23:43:39 - mmengine - INFO - Epoch(train) [56][4300/5005] lr: 1.0000e-02 eta: 10:49:29 time: 0.1710 data_time: 0.0025 loss: 1.2333 03/10 23:43:56 - mmengine - INFO - Epoch(train) [56][4400/5005] lr: 1.0000e-02 eta: 10:49:11 time: 0.1678 data_time: 0.0023 loss: 1.2435 03/10 23:44:14 - mmengine - INFO - Epoch(train) [56][4500/5005] lr: 1.0000e-02 eta: 10:48:53 time: 0.1707 data_time: 0.0025 loss: 1.5303 03/10 23:44:32 - mmengine - INFO - Epoch(train) [56][4600/5005] lr: 1.0000e-02 eta: 10:48:35 time: 0.1729 data_time: 0.0025 loss: 1.3635 03/10 23:44:49 - mmengine - INFO - Epoch(train) [56][4700/5005] lr: 1.0000e-02 eta: 10:48:17 time: 0.1719 data_time: 0.0025 loss: 1.3391 03/10 23:44:54 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:45:06 - mmengine - INFO - Epoch(train) [56][4800/5005] lr: 1.0000e-02 eta: 10:47:59 time: 0.1722 data_time: 0.0027 loss: 1.3765 03/10 23:45:24 - mmengine - INFO - Epoch(train) [56][4900/5005] lr: 1.0000e-02 eta: 10:47:41 time: 0.1721 data_time: 0.0024 loss: 1.4665 03/10 23:45:40 - mmengine - INFO - Epoch(train) [56][5000/5005] lr: 1.0000e-02 eta: 10:47:23 time: 0.1685 data_time: 0.0022 loss: 1.6030 03/10 23:45:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:45:46 - mmengine - INFO - Saving checkpoint at 56 epochs 03/10 23:46:07 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:00:19 time: 0.0169 data_time: 0.0004 03/10 23:46:21 - mmengine - INFO - Epoch(val) [56][196/196] accuracy/top1: 71.1700 accuracy/top5: 90.5200 03/10 23:46:58 - mmengine - INFO - Epoch(train) [57][ 100/5005] lr: 1.0000e-02 eta: 10:47:19 time: 0.1702 data_time: 0.0030 loss: 1.3377 03/10 23:47:16 - mmengine - INFO - Epoch(train) [57][ 200/5005] lr: 1.0000e-02 eta: 10:47:01 time: 0.1725 data_time: 0.0026 loss: 1.3348 03/10 23:47:33 - mmengine - INFO - Epoch(train) [57][ 300/5005] lr: 1.0000e-02 eta: 10:46:44 time: 0.1732 data_time: 0.0024 loss: 1.1718 03/10 23:47:51 - mmengine - INFO - Epoch(train) [57][ 400/5005] lr: 1.0000e-02 eta: 10:46:26 time: 0.1698 data_time: 0.0031 loss: 1.3728 03/10 23:48:08 - mmengine - INFO - Epoch(train) [57][ 500/5005] lr: 1.0000e-02 eta: 10:46:08 time: 0.1743 data_time: 0.0024 loss: 1.3799 03/10 23:48:26 - mmengine - INFO - Epoch(train) [57][ 600/5005] lr: 1.0000e-02 eta: 10:45:50 time: 0.1722 data_time: 0.0026 loss: 1.3655 03/10 23:48:44 - mmengine - INFO - Epoch(train) [57][ 700/5005] lr: 1.0000e-02 eta: 10:45:33 time: 0.1850 data_time: 0.0025 loss: 1.2231 03/10 23:48:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:49:02 - mmengine - INFO - Epoch(train) [57][ 800/5005] lr: 1.0000e-02 eta: 10:45:15 time: 0.1735 data_time: 0.0024 loss: 1.3935 03/10 23:49:19 - mmengine - INFO - Epoch(train) [57][ 900/5005] lr: 1.0000e-02 eta: 10:44:57 time: 0.1733 data_time: 0.0024 loss: 1.2601 03/10 23:49:36 - mmengine - INFO - Epoch(train) [57][1000/5005] lr: 1.0000e-02 eta: 10:44:39 time: 0.1694 data_time: 0.0027 loss: 1.2368 03/10 23:49:53 - mmengine - INFO - Epoch(train) [57][1100/5005] lr: 1.0000e-02 eta: 10:44:21 time: 0.1709 data_time: 0.0026 loss: 1.2888 03/10 23:50:11 - mmengine - INFO - Epoch(train) [57][1200/5005] lr: 1.0000e-02 eta: 10:44:03 time: 0.1704 data_time: 0.0023 loss: 1.3248 03/10 23:50:28 - mmengine - INFO - Epoch(train) [57][1300/5005] lr: 1.0000e-02 eta: 10:43:45 time: 0.1697 data_time: 0.0023 loss: 1.4116 03/10 23:50:46 - mmengine - INFO - Epoch(train) [57][1400/5005] lr: 1.0000e-02 eta: 10:43:27 time: 0.1707 data_time: 0.0022 loss: 1.2208 03/10 23:51:03 - mmengine - INFO - Epoch(train) [57][1500/5005] lr: 1.0000e-02 eta: 10:43:10 time: 0.1742 data_time: 0.0025 loss: 1.4430 03/10 23:51:21 - mmengine - INFO - Epoch(train) [57][1600/5005] lr: 1.0000e-02 eta: 10:42:52 time: 0.1728 data_time: 0.0026 loss: 1.2259 03/10 23:51:38 - mmengine - INFO - Epoch(train) [57][1700/5005] lr: 1.0000e-02 eta: 10:42:34 time: 0.1875 data_time: 0.0027 loss: 1.5375 03/10 23:51:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:51:55 - mmengine - INFO - Epoch(train) [57][1800/5005] lr: 1.0000e-02 eta: 10:42:16 time: 0.1725 data_time: 0.0025 loss: 1.5702 03/10 23:52:13 - mmengine - INFO - Epoch(train) [57][1900/5005] lr: 1.0000e-02 eta: 10:41:58 time: 0.1693 data_time: 0.0025 loss: 1.1055 03/10 23:52:30 - mmengine - INFO - Epoch(train) [57][2000/5005] lr: 1.0000e-02 eta: 10:41:40 time: 0.1693 data_time: 0.0026 loss: 1.0586 03/10 23:52:48 - mmengine - INFO - Epoch(train) [57][2100/5005] lr: 1.0000e-02 eta: 10:41:22 time: 0.1720 data_time: 0.0026 loss: 1.5273 03/10 23:53:05 - mmengine - INFO - Epoch(train) [57][2200/5005] lr: 1.0000e-02 eta: 10:41:04 time: 0.1738 data_time: 0.0024 loss: 1.3885 03/10 23:53:22 - mmengine - INFO - Epoch(train) [57][2300/5005] lr: 1.0000e-02 eta: 10:40:46 time: 0.1899 data_time: 0.0024 loss: 1.2666 03/10 23:53:40 - mmengine - INFO - Epoch(train) [57][2400/5005] lr: 1.0000e-02 eta: 10:40:28 time: 0.1838 data_time: 0.0025 loss: 1.1560 03/10 23:53:57 - mmengine - INFO - Epoch(train) [57][2500/5005] lr: 1.0000e-02 eta: 10:40:10 time: 0.1729 data_time: 0.0025 loss: 1.5081 03/10 23:54:15 - mmengine - INFO - Epoch(train) [57][2600/5005] lr: 1.0000e-02 eta: 10:39:52 time: 0.1714 data_time: 0.0027 loss: 1.5020 03/10 23:54:32 - mmengine - INFO - Epoch(train) [57][2700/5005] lr: 1.0000e-02 eta: 10:39:35 time: 0.1717 data_time: 0.0025 loss: 1.1982 03/10 23:54:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:54:50 - mmengine - INFO - Epoch(train) [57][2800/5005] lr: 1.0000e-02 eta: 10:39:17 time: 0.1912 data_time: 0.0025 loss: 1.1870 03/10 23:55:07 - mmengine - INFO - Epoch(train) [57][2900/5005] lr: 1.0000e-02 eta: 10:38:59 time: 0.1727 data_time: 0.0026 loss: 1.4245 03/10 23:55:25 - mmengine - INFO - Epoch(train) [57][3000/5005] lr: 1.0000e-02 eta: 10:38:41 time: 0.1932 data_time: 0.0024 loss: 1.1434 03/10 23:55:42 - mmengine - INFO - Epoch(train) [57][3100/5005] lr: 1.0000e-02 eta: 10:38:23 time: 0.1728 data_time: 0.0025 loss: 1.2283 03/10 23:55:59 - mmengine - INFO - Epoch(train) [57][3200/5005] lr: 1.0000e-02 eta: 10:38:05 time: 0.1709 data_time: 0.0024 loss: 1.4214 03/10 23:56:17 - mmengine - INFO - Epoch(train) [57][3300/5005] lr: 1.0000e-02 eta: 10:37:47 time: 0.1737 data_time: 0.0025 loss: 1.4296 03/10 23:56:34 - mmengine - INFO - Epoch(train) [57][3400/5005] lr: 1.0000e-02 eta: 10:37:29 time: 0.1703 data_time: 0.0026 loss: 1.4787 03/10 23:56:51 - mmengine - INFO - Epoch(train) [57][3500/5005] lr: 1.0000e-02 eta: 10:37:11 time: 0.1719 data_time: 0.0024 loss: 1.1618 03/10 23:57:09 - mmengine - INFO - Epoch(train) [57][3600/5005] lr: 1.0000e-02 eta: 10:36:54 time: 0.1708 data_time: 0.0025 loss: 1.4566 03/10 23:57:26 - mmengine - INFO - Epoch(train) [57][3700/5005] lr: 1.0000e-02 eta: 10:36:35 time: 0.1704 data_time: 0.0024 loss: 1.4935 03/10 23:57:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/10 23:57:44 - mmengine - INFO - Epoch(train) [57][3800/5005] lr: 1.0000e-02 eta: 10:36:18 time: 0.1728 data_time: 0.0023 loss: 1.3721 03/10 23:58:01 - mmengine - INFO - Epoch(train) [57][3900/5005] lr: 1.0000e-02 eta: 10:36:00 time: 0.1723 data_time: 0.0027 loss: 1.4507 03/10 23:58:18 - mmengine - INFO - Epoch(train) [57][4000/5005] lr: 1.0000e-02 eta: 10:35:42 time: 0.1695 data_time: 0.0028 loss: 1.2965 03/10 23:58:36 - mmengine - INFO - Epoch(train) [57][4100/5005] lr: 1.0000e-02 eta: 10:35:24 time: 0.1898 data_time: 0.0025 loss: 1.4410 03/10 23:58:53 - mmengine - INFO - Epoch(train) [57][4200/5005] lr: 1.0000e-02 eta: 10:35:06 time: 0.1717 data_time: 0.0025 loss: 1.3067 03/10 23:59:11 - mmengine - INFO - Epoch(train) [57][4300/5005] lr: 1.0000e-02 eta: 10:34:48 time: 0.1708 data_time: 0.0023 loss: 1.4203 03/10 23:59:28 - mmengine - INFO - Epoch(train) [57][4400/5005] lr: 1.0000e-02 eta: 10:34:30 time: 0.1703 data_time: 0.0026 loss: 1.3730 03/10 23:59:45 - mmengine - INFO - Epoch(train) [57][4500/5005] lr: 1.0000e-02 eta: 10:34:12 time: 0.1683 data_time: 0.0025 loss: 1.5659 03/11 00:00:02 - mmengine - INFO - Epoch(train) [57][4600/5005] lr: 1.0000e-02 eta: 10:33:54 time: 0.1717 data_time: 0.0027 loss: 1.2127 03/11 00:00:20 - mmengine - INFO - Epoch(train) [57][4700/5005] lr: 1.0000e-02 eta: 10:33:36 time: 0.1863 data_time: 0.0026 loss: 1.2830 03/11 00:00:24 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:00:37 - mmengine - INFO - Epoch(train) [57][4800/5005] lr: 1.0000e-02 eta: 10:33:18 time: 0.1696 data_time: 0.0022 loss: 1.3530 03/11 00:00:54 - mmengine - INFO - Epoch(train) [57][4900/5005] lr: 1.0000e-02 eta: 10:33:00 time: 0.1673 data_time: 0.0022 loss: 1.3141 03/11 00:01:11 - mmengine - INFO - Epoch(train) [57][5000/5005] lr: 1.0000e-02 eta: 10:32:42 time: 0.1678 data_time: 0.0023 loss: 1.3823 03/11 00:01:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:01:17 - mmengine - INFO - Saving checkpoint at 57 epochs 03/11 00:01:39 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:00:19 time: 0.0193 data_time: 0.0004 03/11 00:01:53 - mmengine - INFO - Epoch(val) [57][196/196] accuracy/top1: 70.5860 accuracy/top5: 90.4100 03/11 00:02:30 - mmengine - INFO - Epoch(train) [58][ 100/5005] lr: 1.0000e-02 eta: 10:32:38 time: 0.1725 data_time: 0.0035 loss: 1.2397 03/11 00:02:47 - mmengine - INFO - Epoch(train) [58][ 200/5005] lr: 1.0000e-02 eta: 10:32:20 time: 0.1729 data_time: 0.0029 loss: 1.4700 03/11 00:03:05 - mmengine - INFO - Epoch(train) [58][ 300/5005] lr: 1.0000e-02 eta: 10:32:02 time: 0.1698 data_time: 0.0025 loss: 1.4161 03/11 00:03:23 - mmengine - INFO - Epoch(train) [58][ 400/5005] lr: 1.0000e-02 eta: 10:31:45 time: 0.1689 data_time: 0.0023 loss: 1.3992 03/11 00:03:41 - mmengine - INFO - Epoch(train) [58][ 500/5005] lr: 1.0000e-02 eta: 10:31:27 time: 0.1905 data_time: 0.0024 loss: 1.4939 03/11 00:03:58 - mmengine - INFO - Epoch(train) [58][ 600/5005] lr: 1.0000e-02 eta: 10:31:09 time: 0.1718 data_time: 0.0027 loss: 1.2376 03/11 00:04:15 - mmengine - INFO - Epoch(train) [58][ 700/5005] lr: 1.0000e-02 eta: 10:30:51 time: 0.1730 data_time: 0.0025 loss: 1.6314 03/11 00:04:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:04:33 - mmengine - INFO - Epoch(train) [58][ 800/5005] lr: 1.0000e-02 eta: 10:30:33 time: 0.1708 data_time: 0.0026 loss: 1.2512 03/11 00:04:51 - mmengine - INFO - Epoch(train) [58][ 900/5005] lr: 1.0000e-02 eta: 10:30:15 time: 0.1833 data_time: 0.0027 loss: 1.3407 03/11 00:05:08 - mmengine - INFO - Epoch(train) [58][1000/5005] lr: 1.0000e-02 eta: 10:29:58 time: 0.1702 data_time: 0.0026 loss: 1.2774 03/11 00:05:26 - mmengine - INFO - Epoch(train) [58][1100/5005] lr: 1.0000e-02 eta: 10:29:40 time: 0.1721 data_time: 0.0024 loss: 1.3971 03/11 00:05:43 - mmengine - INFO - Epoch(train) [58][1200/5005] lr: 1.0000e-02 eta: 10:29:22 time: 0.1696 data_time: 0.0025 loss: 1.3428 03/11 00:06:00 - mmengine - INFO - Epoch(train) [58][1300/5005] lr: 1.0000e-02 eta: 10:29:04 time: 0.1702 data_time: 0.0025 loss: 1.4887 03/11 00:06:18 - mmengine - INFO - Epoch(train) [58][1400/5005] lr: 1.0000e-02 eta: 10:28:46 time: 0.1693 data_time: 0.0026 loss: 1.4099 03/11 00:06:35 - mmengine - INFO - Epoch(train) [58][1500/5005] lr: 1.0000e-02 eta: 10:28:28 time: 0.1715 data_time: 0.0026 loss: 1.5248 03/11 00:06:53 - mmengine - INFO - Epoch(train) [58][1600/5005] lr: 1.0000e-02 eta: 10:28:10 time: 0.1713 data_time: 0.0025 loss: 1.3225 03/11 00:07:11 - mmengine - INFO - Epoch(train) [58][1700/5005] lr: 1.0000e-02 eta: 10:27:52 time: 0.1720 data_time: 0.0026 loss: 1.5300 03/11 00:07:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:07:28 - mmengine - INFO - Epoch(train) [58][1800/5005] lr: 1.0000e-02 eta: 10:27:34 time: 0.1703 data_time: 0.0025 loss: 1.5903 03/11 00:07:45 - mmengine - INFO - Epoch(train) [58][1900/5005] lr: 1.0000e-02 eta: 10:27:16 time: 0.1707 data_time: 0.0026 loss: 1.3651 03/11 00:08:03 - mmengine - INFO - Epoch(train) [58][2000/5005] lr: 1.0000e-02 eta: 10:26:59 time: 0.1715 data_time: 0.0025 loss: 1.2517 03/11 00:08:20 - mmengine - INFO - Epoch(train) [58][2100/5005] lr: 1.0000e-02 eta: 10:26:41 time: 0.1700 data_time: 0.0025 loss: 1.1973 03/11 00:08:38 - mmengine - INFO - Epoch(train) [58][2200/5005] lr: 1.0000e-02 eta: 10:26:23 time: 0.1706 data_time: 0.0025 loss: 1.5067 03/11 00:08:56 - mmengine - INFO - Epoch(train) [58][2300/5005] lr: 1.0000e-02 eta: 10:26:05 time: 0.1688 data_time: 0.0026 loss: 1.2597 03/11 00:09:13 - mmengine - INFO - Epoch(train) [58][2400/5005] lr: 1.0000e-02 eta: 10:25:47 time: 0.1712 data_time: 0.0025 loss: 1.3157 03/11 00:09:30 - mmengine - INFO - Epoch(train) [58][2500/5005] lr: 1.0000e-02 eta: 10:25:29 time: 0.1684 data_time: 0.0026 loss: 1.4389 03/11 00:09:47 - mmengine - INFO - Epoch(train) [58][2600/5005] lr: 1.0000e-02 eta: 10:25:11 time: 0.1700 data_time: 0.0026 loss: 1.4559 03/11 00:10:05 - mmengine - INFO - Epoch(train) [58][2700/5005] lr: 1.0000e-02 eta: 10:24:53 time: 0.1701 data_time: 0.0024 loss: 1.2514 03/11 00:10:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:10:22 - mmengine - INFO - Epoch(train) [58][2800/5005] lr: 1.0000e-02 eta: 10:24:36 time: 0.1696 data_time: 0.0023 loss: 1.3073 03/11 00:10:40 - mmengine - INFO - Epoch(train) [58][2900/5005] lr: 1.0000e-02 eta: 10:24:18 time: 0.1674 data_time: 0.0024 loss: 1.3215 03/11 00:10:57 - mmengine - INFO - Epoch(train) [58][3000/5005] lr: 1.0000e-02 eta: 10:24:00 time: 0.1687 data_time: 0.0025 loss: 1.2381 03/11 00:11:14 - mmengine - INFO - Epoch(train) [58][3100/5005] lr: 1.0000e-02 eta: 10:23:42 time: 0.1707 data_time: 0.0023 loss: 1.6141 03/11 00:11:32 - mmengine - INFO - Epoch(train) [58][3200/5005] lr: 1.0000e-02 eta: 10:23:24 time: 0.1709 data_time: 0.0025 loss: 1.4162 03/11 00:11:49 - mmengine - INFO - Epoch(train) [58][3300/5005] lr: 1.0000e-02 eta: 10:23:06 time: 0.1702 data_time: 0.0024 loss: 1.3292 03/11 00:12:07 - mmengine - INFO - Epoch(train) [58][3400/5005] lr: 1.0000e-02 eta: 10:22:48 time: 0.1704 data_time: 0.0024 loss: 1.4186 03/11 00:12:24 - mmengine - INFO - Epoch(train) [58][3500/5005] lr: 1.0000e-02 eta: 10:22:30 time: 0.1718 data_time: 0.0024 loss: 1.3709 03/11 00:12:42 - mmengine - INFO - Epoch(train) [58][3600/5005] lr: 1.0000e-02 eta: 10:22:13 time: 0.1701 data_time: 0.0024 loss: 1.3973 03/11 00:12:59 - mmengine - INFO - Epoch(train) [58][3700/5005] lr: 1.0000e-02 eta: 10:21:55 time: 0.1722 data_time: 0.0023 loss: 1.5488 03/11 00:13:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:13:16 - mmengine - INFO - Epoch(train) [58][3800/5005] lr: 1.0000e-02 eta: 10:21:37 time: 0.1697 data_time: 0.0023 loss: 1.3545 03/11 00:13:34 - mmengine - INFO - Epoch(train) [58][3900/5005] lr: 1.0000e-02 eta: 10:21:19 time: 0.1709 data_time: 0.0025 loss: 1.5004 03/11 00:13:51 - mmengine - INFO - Epoch(train) [58][4000/5005] lr: 1.0000e-02 eta: 10:21:01 time: 0.1861 data_time: 0.0024 loss: 1.3019 03/11 00:14:08 - mmengine - INFO - Epoch(train) [58][4100/5005] lr: 1.0000e-02 eta: 10:20:43 time: 0.1704 data_time: 0.0023 loss: 1.2499 03/11 00:14:26 - mmengine - INFO - Epoch(train) [58][4200/5005] lr: 1.0000e-02 eta: 10:20:25 time: 0.1840 data_time: 0.0024 loss: 1.3949 03/11 00:14:43 - mmengine - INFO - Epoch(train) [58][4300/5005] lr: 1.0000e-02 eta: 10:20:07 time: 0.1712 data_time: 0.0023 loss: 1.2901 03/11 00:15:00 - mmengine - INFO - Epoch(train) [58][4400/5005] lr: 1.0000e-02 eta: 10:19:49 time: 0.1711 data_time: 0.0023 loss: 1.3813 03/11 00:15:18 - mmengine - INFO - Epoch(train) [58][4500/5005] lr: 1.0000e-02 eta: 10:19:31 time: 0.1714 data_time: 0.0027 loss: 1.4244 03/11 00:15:35 - mmengine - INFO - Epoch(train) [58][4600/5005] lr: 1.0000e-02 eta: 10:19:13 time: 0.1690 data_time: 0.0025 loss: 1.2047 03/11 00:15:52 - mmengine - INFO - Epoch(train) [58][4700/5005] lr: 1.0000e-02 eta: 10:18:55 time: 0.1699 data_time: 0.0024 loss: 1.3798 03/11 00:15:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:16:10 - mmengine - INFO - Epoch(train) [58][4800/5005] lr: 1.0000e-02 eta: 10:18:37 time: 0.1777 data_time: 0.0021 loss: 1.2264 03/11 00:16:27 - mmengine - INFO - Epoch(train) [58][4900/5005] lr: 1.0000e-02 eta: 10:18:19 time: 0.1740 data_time: 0.0023 loss: 1.3471 03/11 00:16:44 - mmengine - INFO - Epoch(train) [58][5000/5005] lr: 1.0000e-02 eta: 10:18:01 time: 0.1728 data_time: 0.0028 loss: 1.2958 03/11 00:16:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:16:50 - mmengine - INFO - Saving checkpoint at 58 epochs 03/11 00:17:10 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:00:18 time: 0.0190 data_time: 0.0005 03/11 00:17:25 - mmengine - INFO - Epoch(val) [58][196/196] accuracy/top1: 70.9920 accuracy/top5: 90.4760 03/11 00:18:02 - mmengine - INFO - Epoch(train) [59][ 100/5005] lr: 1.0000e-02 eta: 10:17:56 time: 0.1745 data_time: 0.0028 loss: 1.5127 03/11 00:18:19 - mmengine - INFO - Epoch(train) [59][ 200/5005] lr: 1.0000e-02 eta: 10:17:38 time: 0.1724 data_time: 0.0028 loss: 1.3068 03/11 00:18:37 - mmengine - INFO - Epoch(train) [59][ 300/5005] lr: 1.0000e-02 eta: 10:17:20 time: 0.1723 data_time: 0.0023 loss: 1.2408 03/11 00:18:55 - mmengine - INFO - Epoch(train) [59][ 400/5005] lr: 1.0000e-02 eta: 10:17:03 time: 0.1708 data_time: 0.0026 loss: 1.4340 03/11 00:19:12 - mmengine - INFO - Epoch(train) [59][ 500/5005] lr: 1.0000e-02 eta: 10:16:45 time: 0.1711 data_time: 0.0026 loss: 1.5883 03/11 00:19:29 - mmengine - INFO - Epoch(train) [59][ 600/5005] lr: 1.0000e-02 eta: 10:16:27 time: 0.1718 data_time: 0.0026 loss: 1.2661 03/11 00:19:47 - mmengine - INFO - Epoch(train) [59][ 700/5005] lr: 1.0000e-02 eta: 10:16:09 time: 0.1731 data_time: 0.0024 loss: 1.3579 03/11 00:19:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:20:04 - mmengine - INFO - Epoch(train) [59][ 800/5005] lr: 1.0000e-02 eta: 10:15:51 time: 0.1684 data_time: 0.0024 loss: 1.2246 03/11 00:20:22 - mmengine - INFO - Epoch(train) [59][ 900/5005] lr: 1.0000e-02 eta: 10:15:33 time: 0.1692 data_time: 0.0025 loss: 1.4046 03/11 00:20:39 - mmengine - INFO - Epoch(train) [59][1000/5005] lr: 1.0000e-02 eta: 10:15:16 time: 0.1695 data_time: 0.0023 loss: 1.4303 03/11 00:20:57 - mmengine - INFO - Epoch(train) [59][1100/5005] lr: 1.0000e-02 eta: 10:14:58 time: 0.1735 data_time: 0.0024 loss: 1.3715 03/11 00:21:14 - mmengine - INFO - Epoch(train) [59][1200/5005] lr: 1.0000e-02 eta: 10:14:40 time: 0.1683 data_time: 0.0024 loss: 1.4143 03/11 00:21:32 - mmengine - INFO - Epoch(train) [59][1300/5005] lr: 1.0000e-02 eta: 10:14:22 time: 0.1730 data_time: 0.0028 loss: 1.2827 03/11 00:21:49 - mmengine - INFO - Epoch(train) [59][1400/5005] lr: 1.0000e-02 eta: 10:14:04 time: 0.1692 data_time: 0.0023 loss: 1.3363 03/11 00:22:07 - mmengine - INFO - Epoch(train) [59][1500/5005] lr: 1.0000e-02 eta: 10:13:46 time: 0.1718 data_time: 0.0027 loss: 1.3740 03/11 00:22:24 - mmengine - INFO - Epoch(train) [59][1600/5005] lr: 1.0000e-02 eta: 10:13:29 time: 0.1685 data_time: 0.0025 loss: 1.4705 03/11 00:22:42 - mmengine - INFO - Epoch(train) [59][1700/5005] lr: 1.0000e-02 eta: 10:13:11 time: 0.1887 data_time: 0.0026 loss: 1.5814 03/11 00:22:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:22:59 - mmengine - INFO - Epoch(train) [59][1800/5005] lr: 1.0000e-02 eta: 10:12:53 time: 0.1697 data_time: 0.0024 loss: 1.3008 03/11 00:23:16 - mmengine - INFO - Epoch(train) [59][1900/5005] lr: 1.0000e-02 eta: 10:12:35 time: 0.1717 data_time: 0.0024 loss: 1.6067 03/11 00:23:33 - mmengine - INFO - Epoch(train) [59][2000/5005] lr: 1.0000e-02 eta: 10:12:17 time: 0.2000 data_time: 0.0024 loss: 1.3508 03/11 00:23:51 - mmengine - INFO - Epoch(train) [59][2100/5005] lr: 1.0000e-02 eta: 10:11:59 time: 0.1710 data_time: 0.0023 loss: 1.3691 03/11 00:24:08 - mmengine - INFO - Epoch(train) [59][2200/5005] lr: 1.0000e-02 eta: 10:11:41 time: 0.1727 data_time: 0.0023 loss: 1.3557 03/11 00:24:26 - mmengine - INFO - Epoch(train) [59][2300/5005] lr: 1.0000e-02 eta: 10:11:23 time: 0.1691 data_time: 0.0024 loss: 1.3642 03/11 00:24:43 - mmengine - INFO - Epoch(train) [59][2400/5005] lr: 1.0000e-02 eta: 10:11:05 time: 0.1886 data_time: 0.0025 loss: 1.2575 03/11 00:25:00 - mmengine - INFO - Epoch(train) [59][2500/5005] lr: 1.0000e-02 eta: 10:10:47 time: 0.1714 data_time: 0.0025 loss: 1.3092 03/11 00:25:18 - mmengine - INFO - Epoch(train) [59][2600/5005] lr: 1.0000e-02 eta: 10:10:29 time: 0.1704 data_time: 0.0024 loss: 1.3490 03/11 00:25:35 - mmengine - INFO - Epoch(train) [59][2700/5005] lr: 1.0000e-02 eta: 10:10:12 time: 0.2028 data_time: 0.0024 loss: 1.1973 03/11 00:25:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:25:53 - mmengine - INFO - Epoch(train) [59][2800/5005] lr: 1.0000e-02 eta: 10:09:54 time: 0.1716 data_time: 0.0024 loss: 1.2808 03/11 00:26:10 - mmengine - INFO - Epoch(train) [59][2900/5005] lr: 1.0000e-02 eta: 10:09:36 time: 0.1683 data_time: 0.0025 loss: 1.3448 03/11 00:26:27 - mmengine - INFO - Epoch(train) [59][3000/5005] lr: 1.0000e-02 eta: 10:09:18 time: 0.1707 data_time: 0.0023 loss: 1.2623 03/11 00:26:45 - mmengine - INFO - Epoch(train) [59][3100/5005] lr: 1.0000e-02 eta: 10:09:00 time: 0.1703 data_time: 0.0026 loss: 1.3404 03/11 00:27:02 - mmengine - INFO - Epoch(train) [59][3200/5005] lr: 1.0000e-02 eta: 10:08:42 time: 0.1721 data_time: 0.0024 loss: 1.1059 03/11 00:27:20 - mmengine - INFO - Epoch(train) [59][3300/5005] lr: 1.0000e-02 eta: 10:08:24 time: 0.1708 data_time: 0.0024 loss: 1.3602 03/11 00:27:37 - mmengine - INFO - Epoch(train) [59][3400/5005] lr: 1.0000e-02 eta: 10:08:06 time: 0.1724 data_time: 0.0023 loss: 1.2270 03/11 00:27:54 - mmengine - INFO - Epoch(train) [59][3500/5005] lr: 1.0000e-02 eta: 10:07:48 time: 0.1704 data_time: 0.0027 loss: 1.6170 03/11 00:28:12 - mmengine - INFO - Epoch(train) [59][3600/5005] lr: 1.0000e-02 eta: 10:07:30 time: 0.1709 data_time: 0.0024 loss: 1.4986 03/11 00:28:29 - mmengine - INFO - Epoch(train) [59][3700/5005] lr: 1.0000e-02 eta: 10:07:12 time: 0.1697 data_time: 0.0023 loss: 1.3345 03/11 00:28:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:28:47 - mmengine - INFO - Epoch(train) [59][3800/5005] lr: 1.0000e-02 eta: 10:06:55 time: 0.1713 data_time: 0.0028 loss: 1.3896 03/11 00:29:04 - mmengine - INFO - Epoch(train) [59][3900/5005] lr: 1.0000e-02 eta: 10:06:37 time: 0.1886 data_time: 0.0026 loss: 1.2013 03/11 00:29:22 - mmengine - INFO - Epoch(train) [59][4000/5005] lr: 1.0000e-02 eta: 10:06:19 time: 0.1716 data_time: 0.0024 loss: 1.4056 03/11 00:29:39 - mmengine - INFO - Epoch(train) [59][4100/5005] lr: 1.0000e-02 eta: 10:06:01 time: 0.1715 data_time: 0.0026 loss: 1.3795 03/11 00:29:56 - mmengine - INFO - Epoch(train) [59][4200/5005] lr: 1.0000e-02 eta: 10:05:43 time: 0.1735 data_time: 0.0026 loss: 1.5083 03/11 00:30:14 - mmengine - INFO - Epoch(train) [59][4300/5005] lr: 1.0000e-02 eta: 10:05:25 time: 0.1723 data_time: 0.0025 loss: 1.4288 03/11 00:30:31 - mmengine - INFO - Epoch(train) [59][4400/5005] lr: 1.0000e-02 eta: 10:05:07 time: 0.1714 data_time: 0.0026 loss: 1.3095 03/11 00:30:49 - mmengine - INFO - Epoch(train) [59][4500/5005] lr: 1.0000e-02 eta: 10:04:50 time: 0.1723 data_time: 0.0025 loss: 1.2211 03/11 00:31:06 - mmengine - INFO - Epoch(train) [59][4600/5005] lr: 1.0000e-02 eta: 10:04:32 time: 0.1708 data_time: 0.0027 loss: 1.3999 03/11 00:31:24 - mmengine - INFO - Epoch(train) [59][4700/5005] lr: 1.0000e-02 eta: 10:04:14 time: 0.1705 data_time: 0.0024 loss: 1.4886 03/11 00:31:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:31:41 - mmengine - INFO - Epoch(train) [59][4800/5005] lr: 1.0000e-02 eta: 10:03:56 time: 0.1693 data_time: 0.0026 loss: 1.1950 03/11 00:31:58 - mmengine - INFO - Epoch(train) [59][4900/5005] lr: 1.0000e-02 eta: 10:03:38 time: 0.1666 data_time: 0.0023 loss: 1.5101 03/11 00:32:15 - mmengine - INFO - Epoch(train) [59][5000/5005] lr: 1.0000e-02 eta: 10:03:19 time: 0.1679 data_time: 0.0026 loss: 1.5130 03/11 00:32:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:32:20 - mmengine - INFO - Saving checkpoint at 59 epochs 03/11 00:32:41 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:00:19 time: 0.0179 data_time: 0.0005 03/11 00:32:56 - mmengine - INFO - Epoch(val) [59][196/196] accuracy/top1: 70.7860 accuracy/top5: 90.2940 03/11 00:33:33 - mmengine - INFO - Epoch(train) [60][ 100/5005] lr: 1.0000e-02 eta: 10:03:14 time: 0.1708 data_time: 0.0033 loss: 1.3688 03/11 00:33:51 - mmengine - INFO - Epoch(train) [60][ 200/5005] lr: 1.0000e-02 eta: 10:02:57 time: 0.1732 data_time: 0.0049 loss: 1.2612 03/11 00:34:08 - mmengine - INFO - Epoch(train) [60][ 300/5005] lr: 1.0000e-02 eta: 10:02:39 time: 0.1698 data_time: 0.0027 loss: 1.4082 03/11 00:34:27 - mmengine - INFO - Epoch(train) [60][ 400/5005] lr: 1.0000e-02 eta: 10:02:22 time: 0.1795 data_time: 0.0031 loss: 1.4311 03/11 00:34:44 - mmengine - INFO - Epoch(train) [60][ 500/5005] lr: 1.0000e-02 eta: 10:02:04 time: 0.1721 data_time: 0.0026 loss: 1.3835 03/11 00:35:02 - mmengine - INFO - Epoch(train) [60][ 600/5005] lr: 1.0000e-02 eta: 10:01:46 time: 0.1841 data_time: 0.0027 loss: 1.4019 03/11 00:35:20 - mmengine - INFO - Epoch(train) [60][ 700/5005] lr: 1.0000e-02 eta: 10:01:29 time: 0.1700 data_time: 0.0024 loss: 1.3690 03/11 00:35:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:35:37 - mmengine - INFO - Epoch(train) [60][ 800/5005] lr: 1.0000e-02 eta: 10:01:11 time: 0.1702 data_time: 0.0025 loss: 1.1188 03/11 00:35:55 - mmengine - INFO - Epoch(train) [60][ 900/5005] lr: 1.0000e-02 eta: 10:00:53 time: 0.1692 data_time: 0.0024 loss: 1.1816 03/11 00:36:12 - mmengine - INFO - Epoch(train) [60][1000/5005] lr: 1.0000e-02 eta: 10:00:35 time: 0.1725 data_time: 0.0023 loss: 1.2803 03/11 00:36:29 - mmengine - INFO - Epoch(train) [60][1100/5005] lr: 1.0000e-02 eta: 10:00:17 time: 0.1693 data_time: 0.0025 loss: 1.3401 03/11 00:36:47 - mmengine - INFO - Epoch(train) [60][1200/5005] lr: 1.0000e-02 eta: 9:59:59 time: 0.1910 data_time: 0.0024 loss: 1.1247 03/11 00:37:05 - mmengine - INFO - Epoch(train) [60][1300/5005] lr: 1.0000e-02 eta: 9:59:42 time: 0.1707 data_time: 0.0026 loss: 1.2700 03/11 00:37:23 - mmengine - INFO - Epoch(train) [60][1400/5005] lr: 1.0000e-02 eta: 9:59:24 time: 0.1723 data_time: 0.0026 loss: 1.1130 03/11 00:37:40 - mmengine - INFO - Epoch(train) [60][1500/5005] lr: 1.0000e-02 eta: 9:59:06 time: 0.1685 data_time: 0.0022 loss: 1.2381 03/11 00:37:57 - mmengine - INFO - Epoch(train) [60][1600/5005] lr: 1.0000e-02 eta: 9:58:48 time: 0.1698 data_time: 0.0025 loss: 1.4242 03/11 00:38:14 - mmengine - INFO - Epoch(train) [60][1700/5005] lr: 1.0000e-02 eta: 9:58:30 time: 0.1704 data_time: 0.0023 loss: 1.3080 03/11 00:38:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:38:31 - mmengine - INFO - Epoch(train) [60][1800/5005] lr: 1.0000e-02 eta: 9:58:12 time: 0.1694 data_time: 0.0024 loss: 1.4507 03/11 00:38:49 - mmengine - INFO - Epoch(train) [60][1900/5005] lr: 1.0000e-02 eta: 9:57:54 time: 0.1869 data_time: 0.0023 loss: 1.2630 03/11 00:39:07 - mmengine - INFO - Epoch(train) [60][2000/5005] lr: 1.0000e-02 eta: 9:57:36 time: 0.1680 data_time: 0.0025 loss: 1.3170 03/11 00:39:24 - mmengine - INFO - Epoch(train) [60][2100/5005] lr: 1.0000e-02 eta: 9:57:18 time: 0.1702 data_time: 0.0024 loss: 1.4074 03/11 00:39:41 - mmengine - INFO - Epoch(train) [60][2200/5005] lr: 1.0000e-02 eta: 9:57:00 time: 0.1734 data_time: 0.0025 loss: 1.4921 03/11 00:39:58 - mmengine - INFO - Epoch(train) [60][2300/5005] lr: 1.0000e-02 eta: 9:56:42 time: 0.1674 data_time: 0.0024 loss: 1.3654 03/11 00:40:16 - mmengine - INFO - Epoch(train) [60][2400/5005] lr: 1.0000e-02 eta: 9:56:24 time: 0.1862 data_time: 0.0025 loss: 1.3375 03/11 00:40:33 - mmengine - INFO - Epoch(train) [60][2500/5005] lr: 1.0000e-02 eta: 9:56:07 time: 0.1726 data_time: 0.0023 loss: 1.1796 03/11 00:40:51 - mmengine - INFO - Epoch(train) [60][2600/5005] lr: 1.0000e-02 eta: 9:55:49 time: 0.1708 data_time: 0.0026 loss: 1.4420 03/11 00:41:08 - mmengine - INFO - Epoch(train) [60][2700/5005] lr: 1.0000e-02 eta: 9:55:31 time: 0.1691 data_time: 0.0024 loss: 1.3140 03/11 00:41:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:41:26 - mmengine - INFO - Epoch(train) [60][2800/5005] lr: 1.0000e-02 eta: 9:55:13 time: 0.1709 data_time: 0.0028 loss: 1.4195 03/11 00:41:43 - mmengine - INFO - Epoch(train) [60][2900/5005] lr: 1.0000e-02 eta: 9:54:55 time: 0.1712 data_time: 0.0024 loss: 1.3907 03/11 00:42:00 - mmengine - INFO - Epoch(train) [60][3000/5005] lr: 1.0000e-02 eta: 9:54:37 time: 0.1695 data_time: 0.0025 loss: 1.2478 03/11 00:42:18 - mmengine - INFO - Epoch(train) [60][3100/5005] lr: 1.0000e-02 eta: 9:54:19 time: 0.1696 data_time: 0.0024 loss: 1.4556 03/11 00:42:35 - mmengine - INFO - Epoch(train) [60][3200/5005] lr: 1.0000e-02 eta: 9:54:01 time: 0.1720 data_time: 0.0024 loss: 1.4137 03/11 00:42:52 - mmengine - INFO - Epoch(train) [60][3300/5005] lr: 1.0000e-02 eta: 9:53:43 time: 0.1718 data_time: 0.0023 loss: 1.5014 03/11 00:43:10 - mmengine - INFO - Epoch(train) [60][3400/5005] lr: 1.0000e-02 eta: 9:53:26 time: 0.1730 data_time: 0.0024 loss: 1.3323 03/11 00:43:27 - mmengine - INFO - Epoch(train) [60][3500/5005] lr: 1.0000e-02 eta: 9:53:08 time: 0.1732 data_time: 0.0023 loss: 1.3868 03/11 00:43:44 - mmengine - INFO - Epoch(train) [60][3600/5005] lr: 1.0000e-02 eta: 9:52:50 time: 0.1700 data_time: 0.0024 loss: 1.4169 03/11 00:44:02 - mmengine - INFO - Epoch(train) [60][3700/5005] lr: 1.0000e-02 eta: 9:52:32 time: 0.1700 data_time: 0.0023 loss: 1.2242 03/11 00:44:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:44:19 - mmengine - INFO - Epoch(train) [60][3800/5005] lr: 1.0000e-02 eta: 9:52:14 time: 0.1719 data_time: 0.0025 loss: 1.3364 03/11 00:44:37 - mmengine - INFO - Epoch(train) [60][3900/5005] lr: 1.0000e-02 eta: 9:51:56 time: 0.1704 data_time: 0.0028 loss: 1.1964 03/11 00:44:54 - mmengine - INFO - Epoch(train) [60][4000/5005] lr: 1.0000e-02 eta: 9:51:38 time: 0.1752 data_time: 0.0024 loss: 1.2677 03/11 00:45:11 - mmengine - INFO - Epoch(train) [60][4100/5005] lr: 1.0000e-02 eta: 9:51:20 time: 0.1670 data_time: 0.0029 loss: 1.4122 03/11 00:45:29 - mmengine - INFO - Epoch(train) [60][4200/5005] lr: 1.0000e-02 eta: 9:51:02 time: 0.1721 data_time: 0.0025 loss: 1.4377 03/11 00:45:46 - mmengine - INFO - Epoch(train) [60][4300/5005] lr: 1.0000e-02 eta: 9:50:45 time: 0.1714 data_time: 0.0027 loss: 1.5145 03/11 00:46:03 - mmengine - INFO - Epoch(train) [60][4400/5005] lr: 1.0000e-02 eta: 9:50:26 time: 0.1663 data_time: 0.0024 loss: 1.3793 03/11 00:46:21 - mmengine - INFO - Epoch(train) [60][4500/5005] lr: 1.0000e-02 eta: 9:50:09 time: 0.1706 data_time: 0.0024 loss: 1.6202 03/11 00:46:38 - mmengine - INFO - Epoch(train) [60][4600/5005] lr: 1.0000e-02 eta: 9:49:51 time: 0.1710 data_time: 0.0026 loss: 1.1565 03/11 00:46:56 - mmengine - INFO - Epoch(train) [60][4700/5005] lr: 1.0000e-02 eta: 9:49:33 time: 0.1913 data_time: 0.0026 loss: 1.4154 03/11 00:46:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:47:13 - mmengine - INFO - Epoch(train) [60][4800/5005] lr: 1.0000e-02 eta: 9:49:15 time: 0.1695 data_time: 0.0025 loss: 1.2360 03/11 00:47:30 - mmengine - INFO - Epoch(train) [60][4900/5005] lr: 1.0000e-02 eta: 9:48:57 time: 0.1696 data_time: 0.0025 loss: 1.2837 03/11 00:47:47 - mmengine - INFO - Epoch(train) [60][5000/5005] lr: 1.0000e-02 eta: 9:48:39 time: 0.1689 data_time: 0.0024 loss: 1.3787 03/11 00:47:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:47:53 - mmengine - INFO - Saving checkpoint at 60 epochs 03/11 00:48:13 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:00:18 time: 0.0166 data_time: 0.0004 03/11 00:48:28 - mmengine - INFO - Epoch(val) [60][196/196] accuracy/top1: 71.2220 accuracy/top5: 90.4460 03/11 00:49:05 - mmengine - INFO - Epoch(train) [61][ 100/5005] lr: 1.0000e-03 eta: 9:48:33 time: 0.1703 data_time: 0.0032 loss: 1.1556 03/11 00:49:22 - mmengine - INFO - Epoch(train) [61][ 200/5005] lr: 1.0000e-03 eta: 9:48:15 time: 0.1738 data_time: 0.0022 loss: 1.2573 03/11 00:49:40 - mmengine - INFO - Epoch(train) [61][ 300/5005] lr: 1.0000e-03 eta: 9:47:57 time: 0.1726 data_time: 0.0026 loss: 1.1823 03/11 00:49:58 - mmengine - INFO - Epoch(train) [61][ 400/5005] lr: 1.0000e-03 eta: 9:47:40 time: 0.1684 data_time: 0.0026 loss: 1.4480 03/11 00:50:15 - mmengine - INFO - Epoch(train) [61][ 500/5005] lr: 1.0000e-03 eta: 9:47:22 time: 0.1698 data_time: 0.0025 loss: 1.2002 03/11 00:50:32 - mmengine - INFO - Epoch(train) [61][ 600/5005] lr: 1.0000e-03 eta: 9:47:04 time: 0.1696 data_time: 0.0026 loss: 1.1396 03/11 00:50:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:50:50 - mmengine - INFO - Epoch(train) [61][ 700/5005] lr: 1.0000e-03 eta: 9:46:46 time: 0.1733 data_time: 0.0026 loss: 1.2541 03/11 00:51:08 - mmengine - INFO - Epoch(train) [61][ 800/5005] lr: 1.0000e-03 eta: 9:46:29 time: 0.1708 data_time: 0.0026 loss: 1.0737 03/11 00:51:25 - mmengine - INFO - Epoch(train) [61][ 900/5005] lr: 1.0000e-03 eta: 9:46:11 time: 0.1717 data_time: 0.0024 loss: 1.3217 03/11 00:51:43 - mmengine - INFO - Epoch(train) [61][1000/5005] lr: 1.0000e-03 eta: 9:45:53 time: 0.1881 data_time: 0.0025 loss: 1.0697 03/11 00:52:00 - mmengine - INFO - Epoch(train) [61][1100/5005] lr: 1.0000e-03 eta: 9:45:35 time: 0.1695 data_time: 0.0025 loss: 1.2011 03/11 00:52:17 - mmengine - INFO - Epoch(train) [61][1200/5005] lr: 1.0000e-03 eta: 9:45:17 time: 0.1718 data_time: 0.0025 loss: 1.2807 03/11 00:52:35 - mmengine - INFO - Epoch(train) [61][1300/5005] lr: 1.0000e-03 eta: 9:44:59 time: 0.1716 data_time: 0.0024 loss: 1.0609 03/11 00:52:53 - mmengine - INFO - Epoch(train) [61][1400/5005] lr: 1.0000e-03 eta: 9:44:42 time: 0.1897 data_time: 0.0025 loss: 1.2347 03/11 00:53:10 - mmengine - INFO - Epoch(train) [61][1500/5005] lr: 1.0000e-03 eta: 9:44:24 time: 0.1945 data_time: 0.0025 loss: 1.1324 03/11 00:53:28 - mmengine - INFO - Epoch(train) [61][1600/5005] lr: 1.0000e-03 eta: 9:44:06 time: 0.1887 data_time: 0.0026 loss: 1.0114 03/11 00:53:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:53:45 - mmengine - INFO - Epoch(train) [61][1700/5005] lr: 1.0000e-03 eta: 9:43:48 time: 0.1732 data_time: 0.0027 loss: 1.0555 03/11 00:54:03 - mmengine - INFO - Epoch(train) [61][1800/5005] lr: 1.0000e-03 eta: 9:43:31 time: 0.1718 data_time: 0.0026 loss: 1.2783 03/11 00:54:20 - mmengine - INFO - Epoch(train) [61][1900/5005] lr: 1.0000e-03 eta: 9:43:13 time: 0.1712 data_time: 0.0024 loss: 1.2098 03/11 00:54:38 - mmengine - INFO - Epoch(train) [61][2000/5005] lr: 1.0000e-03 eta: 9:42:55 time: 0.1732 data_time: 0.0025 loss: 1.0435 03/11 00:54:55 - mmengine - INFO - Epoch(train) [61][2100/5005] lr: 1.0000e-03 eta: 9:42:37 time: 0.1716 data_time: 0.0026 loss: 1.1534 03/11 00:55:13 - mmengine - INFO - Epoch(train) [61][2200/5005] lr: 1.0000e-03 eta: 9:42:19 time: 0.1726 data_time: 0.0027 loss: 1.2362 03/11 00:55:30 - mmengine - INFO - Epoch(train) [61][2300/5005] lr: 1.0000e-03 eta: 9:42:01 time: 0.1699 data_time: 0.0028 loss: 1.2117 03/11 00:55:48 - mmengine - INFO - Epoch(train) [61][2400/5005] lr: 1.0000e-03 eta: 9:41:43 time: 0.1711 data_time: 0.0024 loss: 1.1880 03/11 00:56:06 - mmengine - INFO - Epoch(train) [61][2500/5005] lr: 1.0000e-03 eta: 9:41:26 time: 0.1696 data_time: 0.0027 loss: 1.1430 03/11 00:56:23 - mmengine - INFO - Epoch(train) [61][2600/5005] lr: 1.0000e-03 eta: 9:41:08 time: 0.1699 data_time: 0.0028 loss: 1.3961 03/11 00:56:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:56:40 - mmengine - INFO - Epoch(train) [61][2700/5005] lr: 1.0000e-03 eta: 9:40:50 time: 0.1718 data_time: 0.0026 loss: 1.1321 03/11 00:56:58 - mmengine - INFO - Epoch(train) [61][2800/5005] lr: 1.0000e-03 eta: 9:40:33 time: 0.1689 data_time: 0.0025 loss: 1.1006 03/11 00:57:15 - mmengine - INFO - Epoch(train) [61][2900/5005] lr: 1.0000e-03 eta: 9:40:15 time: 0.1737 data_time: 0.0024 loss: 1.1495 03/11 00:57:33 - mmengine - INFO - Epoch(train) [61][3000/5005] lr: 1.0000e-03 eta: 9:39:57 time: 0.1692 data_time: 0.0024 loss: 1.2015 03/11 00:57:50 - mmengine - INFO - Epoch(train) [61][3100/5005] lr: 1.0000e-03 eta: 9:39:39 time: 0.1708 data_time: 0.0025 loss: 1.0576 03/11 00:58:08 - mmengine - INFO - Epoch(train) [61][3200/5005] lr: 1.0000e-03 eta: 9:39:21 time: 0.1692 data_time: 0.0028 loss: 1.1577 03/11 00:58:25 - mmengine - INFO - Epoch(train) [61][3300/5005] lr: 1.0000e-03 eta: 9:39:03 time: 0.1728 data_time: 0.0024 loss: 0.9519 03/11 00:58:43 - mmengine - INFO - Epoch(train) [61][3400/5005] lr: 1.0000e-03 eta: 9:38:46 time: 0.1690 data_time: 0.0025 loss: 1.2673 03/11 00:59:00 - mmengine - INFO - Epoch(train) [61][3500/5005] lr: 1.0000e-03 eta: 9:38:27 time: 0.1697 data_time: 0.0025 loss: 1.0595 03/11 00:59:18 - mmengine - INFO - Epoch(train) [61][3600/5005] lr: 1.0000e-03 eta: 9:38:10 time: 0.1713 data_time: 0.0026 loss: 1.1104 03/11 00:59:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 00:59:35 - mmengine - INFO - Epoch(train) [61][3700/5005] lr: 1.0000e-03 eta: 9:37:52 time: 0.1725 data_time: 0.0025 loss: 1.2204 03/11 00:59:53 - mmengine - INFO - Epoch(train) [61][3800/5005] lr: 1.0000e-03 eta: 9:37:34 time: 0.1711 data_time: 0.0024 loss: 1.0373 03/11 01:00:10 - mmengine - INFO - Epoch(train) [61][3900/5005] lr: 1.0000e-03 eta: 9:37:16 time: 0.1859 data_time: 0.0025 loss: 0.8748 03/11 01:00:28 - mmengine - INFO - Epoch(train) [61][4000/5005] lr: 1.0000e-03 eta: 9:36:58 time: 0.1726 data_time: 0.0025 loss: 1.2240 03/11 01:00:45 - mmengine - INFO - Epoch(train) [61][4100/5005] lr: 1.0000e-03 eta: 9:36:40 time: 0.1703 data_time: 0.0026 loss: 1.0345 03/11 01:01:02 - mmengine - INFO - Epoch(train) [61][4200/5005] lr: 1.0000e-03 eta: 9:36:22 time: 0.1698 data_time: 0.0025 loss: 1.1532 03/11 01:01:19 - mmengine - INFO - Epoch(train) [61][4300/5005] lr: 1.0000e-03 eta: 9:36:04 time: 0.1687 data_time: 0.0025 loss: 1.0941 03/11 01:01:36 - mmengine - INFO - Epoch(train) [61][4400/5005] lr: 1.0000e-03 eta: 9:35:46 time: 0.1701 data_time: 0.0024 loss: 1.1931 03/11 01:01:54 - mmengine - INFO - Epoch(train) [61][4500/5005] lr: 1.0000e-03 eta: 9:35:29 time: 0.1752 data_time: 0.0025 loss: 1.2790 03/11 01:02:12 - mmengine - INFO - Epoch(train) [61][4600/5005] lr: 1.0000e-03 eta: 9:35:11 time: 0.1706 data_time: 0.0025 loss: 1.1333 03/11 01:02:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:02:29 - mmengine - INFO - Epoch(train) [61][4700/5005] lr: 1.0000e-03 eta: 9:34:53 time: 0.1703 data_time: 0.0025 loss: 1.1769 03/11 01:02:46 - mmengine - INFO - Epoch(train) [61][4800/5005] lr: 1.0000e-03 eta: 9:34:35 time: 0.1764 data_time: 0.0025 loss: 1.1707 03/11 01:03:04 - mmengine - INFO - Epoch(train) [61][4900/5005] lr: 1.0000e-03 eta: 9:34:17 time: 0.1731 data_time: 0.0023 loss: 1.1814 03/11 01:03:22 - mmengine - INFO - Epoch(train) [61][5000/5005] lr: 1.0000e-03 eta: 9:34:00 time: 0.1775 data_time: 0.0026 loss: 1.0541 03/11 01:03:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:03:27 - mmengine - INFO - Saving checkpoint at 61 epochs 03/11 01:03:48 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:00:18 time: 0.0181 data_time: 0.0004 03/11 01:04:02 - mmengine - INFO - Epoch(val) [61][196/196] accuracy/top1: 75.2320 accuracy/top5: 92.6020 03/11 01:04:39 - mmengine - INFO - Epoch(train) [62][ 100/5005] lr: 1.0000e-03 eta: 9:33:53 time: 0.1708 data_time: 0.0029 loss: 1.0738 03/11 01:04:57 - mmengine - INFO - Epoch(train) [62][ 200/5005] lr: 1.0000e-03 eta: 9:33:35 time: 0.1734 data_time: 0.0024 loss: 1.1031 03/11 01:05:14 - mmengine - INFO - Epoch(train) [62][ 300/5005] lr: 1.0000e-03 eta: 9:33:17 time: 0.1700 data_time: 0.0023 loss: 1.1298 03/11 01:05:31 - mmengine - INFO - Epoch(train) [62][ 400/5005] lr: 1.0000e-03 eta: 9:32:59 time: 0.1706 data_time: 0.0026 loss: 1.0673 03/11 01:05:49 - mmengine - INFO - Epoch(train) [62][ 500/5005] lr: 1.0000e-03 eta: 9:32:42 time: 0.1712 data_time: 0.0026 loss: 1.0922 03/11 01:06:06 - mmengine - INFO - Epoch(train) [62][ 600/5005] lr: 1.0000e-03 eta: 9:32:24 time: 0.1689 data_time: 0.0026 loss: 1.0515 03/11 01:06:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:06:24 - mmengine - INFO - Epoch(train) [62][ 700/5005] lr: 1.0000e-03 eta: 9:32:06 time: 0.1731 data_time: 0.0025 loss: 1.0491 03/11 01:06:42 - mmengine - INFO - Epoch(train) [62][ 800/5005] lr: 1.0000e-03 eta: 9:31:48 time: 0.1711 data_time: 0.0025 loss: 1.1273 03/11 01:06:59 - mmengine - INFO - Epoch(train) [62][ 900/5005] lr: 1.0000e-03 eta: 9:31:30 time: 0.1707 data_time: 0.0025 loss: 1.1806 03/11 01:07:16 - mmengine - INFO - Epoch(train) [62][1000/5005] lr: 1.0000e-03 eta: 9:31:12 time: 0.1702 data_time: 0.0027 loss: 1.1305 03/11 01:07:33 - mmengine - INFO - Epoch(train) [62][1100/5005] lr: 1.0000e-03 eta: 9:30:54 time: 0.1716 data_time: 0.0025 loss: 1.1579 03/11 01:07:51 - mmengine - INFO - Epoch(train) [62][1200/5005] lr: 1.0000e-03 eta: 9:30:37 time: 0.1702 data_time: 0.0025 loss: 1.0364 03/11 01:08:08 - mmengine - INFO - Epoch(train) [62][1300/5005] lr: 1.0000e-03 eta: 9:30:19 time: 0.1683 data_time: 0.0025 loss: 1.0586 03/11 01:08:26 - mmengine - INFO - Epoch(train) [62][1400/5005] lr: 1.0000e-03 eta: 9:30:01 time: 0.1708 data_time: 0.0028 loss: 1.2265 03/11 01:08:43 - mmengine - INFO - Epoch(train) [62][1500/5005] lr: 1.0000e-03 eta: 9:29:43 time: 0.1727 data_time: 0.0024 loss: 1.1107 03/11 01:09:01 - mmengine - INFO - Epoch(train) [62][1600/5005] lr: 1.0000e-03 eta: 9:29:25 time: 0.1714 data_time: 0.0026 loss: 1.0901 03/11 01:09:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:09:18 - mmengine - INFO - Epoch(train) [62][1700/5005] lr: 1.0000e-03 eta: 9:29:07 time: 0.1712 data_time: 0.0029 loss: 1.1885 03/11 01:09:35 - mmengine - INFO - Epoch(train) [62][1800/5005] lr: 1.0000e-03 eta: 9:28:49 time: 0.1723 data_time: 0.0026 loss: 1.0710 03/11 01:09:53 - mmengine - INFO - Epoch(train) [62][1900/5005] lr: 1.0000e-03 eta: 9:28:32 time: 0.1730 data_time: 0.0028 loss: 1.0455 03/11 01:10:11 - mmengine - INFO - Epoch(train) [62][2000/5005] lr: 1.0000e-03 eta: 9:28:14 time: 0.1699 data_time: 0.0024 loss: 1.0392 03/11 01:10:28 - mmengine - INFO - Epoch(train) [62][2100/5005] lr: 1.0000e-03 eta: 9:27:56 time: 0.1712 data_time: 0.0024 loss: 1.1268 03/11 01:10:45 - mmengine - INFO - Epoch(train) [62][2200/5005] lr: 1.0000e-03 eta: 9:27:38 time: 0.1730 data_time: 0.0026 loss: 1.1795 03/11 01:11:03 - mmengine - INFO - Epoch(train) [62][2300/5005] lr: 1.0000e-03 eta: 9:27:20 time: 0.1733 data_time: 0.0026 loss: 1.2732 03/11 01:11:20 - mmengine - INFO - Epoch(train) [62][2400/5005] lr: 1.0000e-03 eta: 9:27:02 time: 0.1713 data_time: 0.0025 loss: 1.0001 03/11 01:11:38 - mmengine - INFO - Epoch(train) [62][2500/5005] lr: 1.0000e-03 eta: 9:26:45 time: 0.1690 data_time: 0.0024 loss: 1.0973 03/11 01:11:55 - mmengine - INFO - Epoch(train) [62][2600/5005] lr: 1.0000e-03 eta: 9:26:27 time: 0.1713 data_time: 0.0025 loss: 1.1658 03/11 01:12:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:12:13 - mmengine - INFO - Epoch(train) [62][2700/5005] lr: 1.0000e-03 eta: 9:26:09 time: 0.1704 data_time: 0.0025 loss: 1.0869 03/11 01:12:30 - mmengine - INFO - Epoch(train) [62][2800/5005] lr: 1.0000e-03 eta: 9:25:51 time: 0.1687 data_time: 0.0024 loss: 1.1257 03/11 01:12:48 - mmengine - INFO - Epoch(train) [62][2900/5005] lr: 1.0000e-03 eta: 9:25:33 time: 0.1725 data_time: 0.0025 loss: 1.0561 03/11 01:13:05 - mmengine - INFO - Epoch(train) [62][3000/5005] lr: 1.0000e-03 eta: 9:25:15 time: 0.1825 data_time: 0.0026 loss: 1.2436 03/11 01:13:22 - mmengine - INFO - Epoch(train) [62][3100/5005] lr: 1.0000e-03 eta: 9:24:58 time: 0.1722 data_time: 0.0024 loss: 1.1637 03/11 01:13:40 - mmengine - INFO - Epoch(train) [62][3200/5005] lr: 1.0000e-03 eta: 9:24:40 time: 0.1694 data_time: 0.0026 loss: 1.2216 03/11 01:13:58 - mmengine - INFO - Epoch(train) [62][3300/5005] lr: 1.0000e-03 eta: 9:24:22 time: 0.2037 data_time: 0.0027 loss: 1.2217 03/11 01:14:16 - mmengine - INFO - Epoch(train) [62][3400/5005] lr: 1.0000e-03 eta: 9:24:05 time: 0.1704 data_time: 0.0025 loss: 0.7689 03/11 01:14:33 - mmengine - INFO - Epoch(train) [62][3500/5005] lr: 1.0000e-03 eta: 9:23:47 time: 0.1720 data_time: 0.0026 loss: 0.8920 03/11 01:14:50 - mmengine - INFO - Epoch(train) [62][3600/5005] lr: 1.0000e-03 eta: 9:23:29 time: 0.1845 data_time: 0.0027 loss: 0.9458 03/11 01:15:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:15:08 - mmengine - INFO - Epoch(train) [62][3700/5005] lr: 1.0000e-03 eta: 9:23:11 time: 0.1694 data_time: 0.0027 loss: 1.0322 03/11 01:15:25 - mmengine - INFO - Epoch(train) [62][3800/5005] lr: 1.0000e-03 eta: 9:22:53 time: 0.1870 data_time: 0.0025 loss: 1.0306 03/11 01:15:43 - mmengine - INFO - Epoch(train) [62][3900/5005] lr: 1.0000e-03 eta: 9:22:35 time: 0.1842 data_time: 0.0025 loss: 1.0004 03/11 01:16:01 - mmengine - INFO - Epoch(train) [62][4000/5005] lr: 1.0000e-03 eta: 9:22:18 time: 0.1724 data_time: 0.0027 loss: 1.1005 03/11 01:16:18 - mmengine - INFO - Epoch(train) [62][4100/5005] lr: 1.0000e-03 eta: 9:22:00 time: 0.1721 data_time: 0.0025 loss: 0.9639 03/11 01:16:36 - mmengine - INFO - Epoch(train) [62][4200/5005] lr: 1.0000e-03 eta: 9:21:42 time: 0.1713 data_time: 0.0024 loss: 1.1708 03/11 01:16:53 - mmengine - INFO - Epoch(train) [62][4300/5005] lr: 1.0000e-03 eta: 9:21:24 time: 0.1760 data_time: 0.0024 loss: 1.2235 03/11 01:17:10 - mmengine - INFO - Epoch(train) [62][4400/5005] lr: 1.0000e-03 eta: 9:21:06 time: 0.1684 data_time: 0.0026 loss: 1.0199 03/11 01:17:28 - mmengine - INFO - Epoch(train) [62][4500/5005] lr: 1.0000e-03 eta: 9:20:49 time: 0.1715 data_time: 0.0027 loss: 1.1604 03/11 01:17:46 - mmengine - INFO - Epoch(train) [62][4600/5005] lr: 1.0000e-03 eta: 9:20:31 time: 0.1705 data_time: 0.0025 loss: 1.2754 03/11 01:18:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:18:03 - mmengine - INFO - Epoch(train) [62][4700/5005] lr: 1.0000e-03 eta: 9:20:13 time: 0.1717 data_time: 0.0027 loss: 1.0857 03/11 01:18:20 - mmengine - INFO - Epoch(train) [62][4800/5005] lr: 1.0000e-03 eta: 9:19:55 time: 0.1705 data_time: 0.0024 loss: 1.2152 03/11 01:18:37 - mmengine - INFO - Epoch(train) [62][4900/5005] lr: 1.0000e-03 eta: 9:19:37 time: 0.1689 data_time: 0.0023 loss: 1.1548 03/11 01:18:54 - mmengine - INFO - Epoch(train) [62][5000/5005] lr: 1.0000e-03 eta: 9:19:19 time: 0.1720 data_time: 0.0025 loss: 1.1279 03/11 01:18:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:19:00 - mmengine - INFO - Saving checkpoint at 62 epochs 03/11 01:19:20 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:00:18 time: 0.0202 data_time: 0.0005 03/11 01:19:34 - mmengine - INFO - Epoch(val) [62][196/196] accuracy/top1: 75.7100 accuracy/top5: 92.7280 03/11 01:20:11 - mmengine - INFO - Epoch(train) [63][ 100/5005] lr: 1.0000e-03 eta: 9:19:11 time: 0.1699 data_time: 0.0029 loss: 1.1731 03/11 01:20:28 - mmengine - INFO - Epoch(train) [63][ 200/5005] lr: 1.0000e-03 eta: 9:18:54 time: 0.1730 data_time: 0.0028 loss: 1.1016 03/11 01:20:46 - mmengine - INFO - Epoch(train) [63][ 300/5005] lr: 1.0000e-03 eta: 9:18:36 time: 0.1737 data_time: 0.0029 loss: 0.8569 03/11 01:21:04 - mmengine - INFO - Epoch(train) [63][ 400/5005] lr: 1.0000e-03 eta: 9:18:19 time: 0.1725 data_time: 0.0036 loss: 1.0328 03/11 01:21:22 - mmengine - INFO - Epoch(train) [63][ 500/5005] lr: 1.0000e-03 eta: 9:18:01 time: 0.1724 data_time: 0.0033 loss: 1.0642 03/11 01:21:39 - mmengine - INFO - Epoch(train) [63][ 600/5005] lr: 1.0000e-03 eta: 9:17:43 time: 0.1728 data_time: 0.0028 loss: 1.0897 03/11 01:21:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:21:57 - mmengine - INFO - Epoch(train) [63][ 700/5005] lr: 1.0000e-03 eta: 9:17:25 time: 0.1730 data_time: 0.0026 loss: 0.8455 03/11 01:22:15 - mmengine - INFO - Epoch(train) [63][ 800/5005] lr: 1.0000e-03 eta: 9:17:08 time: 0.1724 data_time: 0.0027 loss: 1.1481 03/11 01:22:33 - mmengine - INFO - Epoch(train) [63][ 900/5005] lr: 1.0000e-03 eta: 9:16:50 time: 0.1962 data_time: 0.0026 loss: 1.1580 03/11 01:22:50 - mmengine - INFO - Epoch(train) [63][1000/5005] lr: 1.0000e-03 eta: 9:16:32 time: 0.1728 data_time: 0.0026 loss: 0.9846 03/11 01:23:08 - mmengine - INFO - Epoch(train) [63][1100/5005] lr: 1.0000e-03 eta: 9:16:14 time: 0.1726 data_time: 0.0027 loss: 1.0095 03/11 01:23:25 - mmengine - INFO - Epoch(train) [63][1200/5005] lr: 1.0000e-03 eta: 9:15:57 time: 0.1699 data_time: 0.0027 loss: 1.1089 03/11 01:23:43 - mmengine - INFO - Epoch(train) [63][1300/5005] lr: 1.0000e-03 eta: 9:15:39 time: 0.1897 data_time: 0.0026 loss: 1.0844 03/11 01:24:00 - mmengine - INFO - Epoch(train) [63][1400/5005] lr: 1.0000e-03 eta: 9:15:21 time: 0.1702 data_time: 0.0027 loss: 0.9976 03/11 01:24:17 - mmengine - INFO - Epoch(train) [63][1500/5005] lr: 1.0000e-03 eta: 9:15:03 time: 0.1685 data_time: 0.0024 loss: 1.0078 03/11 01:24:35 - mmengine - INFO - Epoch(train) [63][1600/5005] lr: 1.0000e-03 eta: 9:14:45 time: 0.1849 data_time: 0.0028 loss: 1.1509 03/11 01:24:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:24:52 - mmengine - INFO - Epoch(train) [63][1700/5005] lr: 1.0000e-03 eta: 9:14:27 time: 0.1717 data_time: 0.0025 loss: 1.1986 03/11 01:25:10 - mmengine - INFO - Epoch(train) [63][1800/5005] lr: 1.0000e-03 eta: 9:14:10 time: 0.1713 data_time: 0.0024 loss: 1.1073 03/11 01:25:27 - mmengine - INFO - Epoch(train) [63][1900/5005] lr: 1.0000e-03 eta: 9:13:52 time: 0.1716 data_time: 0.0026 loss: 0.9378 03/11 01:25:45 - mmengine - INFO - Epoch(train) [63][2000/5005] lr: 1.0000e-03 eta: 9:13:34 time: 0.1703 data_time: 0.0025 loss: 1.1141 03/11 01:26:02 - mmengine - INFO - Epoch(train) [63][2100/5005] lr: 1.0000e-03 eta: 9:13:16 time: 0.1706 data_time: 0.0025 loss: 1.0244 03/11 01:26:20 - mmengine - INFO - Epoch(train) [63][2200/5005] lr: 1.0000e-03 eta: 9:12:58 time: 0.1735 data_time: 0.0026 loss: 0.8983 03/11 01:26:37 - mmengine - INFO - Epoch(train) [63][2300/5005] lr: 1.0000e-03 eta: 9:12:40 time: 0.1720 data_time: 0.0026 loss: 1.1372 03/11 01:26:54 - mmengine - INFO - Epoch(train) [63][2400/5005] lr: 1.0000e-03 eta: 9:12:22 time: 0.1675 data_time: 0.0027 loss: 1.0464 03/11 01:27:12 - mmengine - INFO - Epoch(train) [63][2500/5005] lr: 1.0000e-03 eta: 9:12:05 time: 0.1714 data_time: 0.0026 loss: 1.1625 03/11 01:27:29 - mmengine - INFO - Epoch(train) [63][2600/5005] lr: 1.0000e-03 eta: 9:11:47 time: 0.1714 data_time: 0.0027 loss: 1.2635 03/11 01:27:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:27:47 - mmengine - INFO - Epoch(train) [63][2700/5005] lr: 1.0000e-03 eta: 9:11:29 time: 0.1718 data_time: 0.0025 loss: 1.0473 03/11 01:28:04 - mmengine - INFO - Epoch(train) [63][2800/5005] lr: 1.0000e-03 eta: 9:11:11 time: 0.1723 data_time: 0.0027 loss: 1.2190 03/11 01:28:21 - mmengine - INFO - Epoch(train) [63][2900/5005] lr: 1.0000e-03 eta: 9:10:53 time: 0.1698 data_time: 0.0025 loss: 1.2090 03/11 01:28:39 - mmengine - INFO - Epoch(train) [63][3000/5005] lr: 1.0000e-03 eta: 9:10:35 time: 0.1855 data_time: 0.0023 loss: 1.0540 03/11 01:28:57 - mmengine - INFO - Epoch(train) [63][3100/5005] lr: 1.0000e-03 eta: 9:10:17 time: 0.1703 data_time: 0.0026 loss: 1.1577 03/11 01:29:14 - mmengine - INFO - Epoch(train) [63][3200/5005] lr: 1.0000e-03 eta: 9:10:00 time: 0.1709 data_time: 0.0025 loss: 1.0629 03/11 01:29:31 - mmengine - INFO - Epoch(train) [63][3300/5005] lr: 1.0000e-03 eta: 9:09:42 time: 0.1688 data_time: 0.0025 loss: 1.0789 03/11 01:29:48 - mmengine - INFO - Epoch(train) [63][3400/5005] lr: 1.0000e-03 eta: 9:09:24 time: 0.1706 data_time: 0.0025 loss: 1.0845 03/11 01:30:06 - mmengine - INFO - Epoch(train) [63][3500/5005] lr: 1.0000e-03 eta: 9:09:06 time: 0.1697 data_time: 0.0026 loss: 0.9667 03/11 01:30:23 - mmengine - INFO - Epoch(train) [63][3600/5005] lr: 1.0000e-03 eta: 9:08:48 time: 0.1711 data_time: 0.0024 loss: 1.2001 03/11 01:30:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:30:41 - mmengine - INFO - Epoch(train) [63][3700/5005] lr: 1.0000e-03 eta: 9:08:30 time: 0.1725 data_time: 0.0025 loss: 1.0686 03/11 01:30:58 - mmengine - INFO - Epoch(train) [63][3800/5005] lr: 1.0000e-03 eta: 9:08:13 time: 0.1725 data_time: 0.0026 loss: 0.9179 03/11 01:31:16 - mmengine - INFO - Epoch(train) [63][3900/5005] lr: 1.0000e-03 eta: 9:07:55 time: 0.1709 data_time: 0.0024 loss: 1.1924 03/11 01:31:33 - mmengine - INFO - Epoch(train) [63][4000/5005] lr: 1.0000e-03 eta: 9:07:37 time: 0.1718 data_time: 0.0024 loss: 1.1634 03/11 01:31:50 - mmengine - INFO - Epoch(train) [63][4100/5005] lr: 1.0000e-03 eta: 9:07:19 time: 0.1720 data_time: 0.0026 loss: 1.0629 03/11 01:32:08 - mmengine - INFO - Epoch(train) [63][4200/5005] lr: 1.0000e-03 eta: 9:07:01 time: 0.1694 data_time: 0.0024 loss: 1.0087 03/11 01:32:25 - mmengine - INFO - Epoch(train) [63][4300/5005] lr: 1.0000e-03 eta: 9:06:43 time: 0.1710 data_time: 0.0025 loss: 1.0041 03/11 01:32:43 - mmengine - INFO - Epoch(train) [63][4400/5005] lr: 1.0000e-03 eta: 9:06:25 time: 0.1695 data_time: 0.0027 loss: 1.1699 03/11 01:33:00 - mmengine - INFO - Epoch(train) [63][4500/5005] lr: 1.0000e-03 eta: 9:06:08 time: 0.1859 data_time: 0.0025 loss: 1.0557 03/11 01:33:18 - mmengine - INFO - Epoch(train) [63][4600/5005] lr: 1.0000e-03 eta: 9:05:50 time: 0.1701 data_time: 0.0026 loss: 1.1205 03/11 01:33:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:33:35 - mmengine - INFO - Epoch(train) [63][4700/5005] lr: 1.0000e-03 eta: 9:05:32 time: 0.1721 data_time: 0.0025 loss: 1.1602 03/11 01:33:52 - mmengine - INFO - Epoch(train) [63][4800/5005] lr: 1.0000e-03 eta: 9:05:14 time: 0.1708 data_time: 0.0026 loss: 1.1298 03/11 01:34:09 - mmengine - INFO - Epoch(train) [63][4900/5005] lr: 1.0000e-03 eta: 9:04:56 time: 0.1681 data_time: 0.0026 loss: 1.0458 03/11 01:34:26 - mmengine - INFO - Epoch(train) [63][5000/5005] lr: 1.0000e-03 eta: 9:04:38 time: 0.1690 data_time: 0.0025 loss: 1.1979 03/11 01:34:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:34:32 - mmengine - INFO - Saving checkpoint at 63 epochs 03/11 01:34:52 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:00:18 time: 0.0204 data_time: 0.0004 03/11 01:35:07 - mmengine - INFO - Epoch(val) [63][196/196] accuracy/top1: 75.6460 accuracy/top5: 92.7820 03/11 01:35:45 - mmengine - INFO - Epoch(train) [64][ 100/5005] lr: 1.0000e-03 eta: 9:04:31 time: 0.1732 data_time: 0.0030 loss: 1.0111 03/11 01:36:04 - mmengine - INFO - Epoch(train) [64][ 200/5005] lr: 1.0000e-03 eta: 9:04:13 time: 0.2188 data_time: 0.0030 loss: 1.1560 03/11 01:36:21 - mmengine - INFO - Epoch(train) [64][ 300/5005] lr: 1.0000e-03 eta: 9:03:55 time: 0.1727 data_time: 0.0035 loss: 0.9407 03/11 01:36:39 - mmengine - INFO - Epoch(train) [64][ 400/5005] lr: 1.0000e-03 eta: 9:03:38 time: 0.1733 data_time: 0.0028 loss: 1.1386 03/11 01:36:56 - mmengine - INFO - Epoch(train) [64][ 500/5005] lr: 1.0000e-03 eta: 9:03:20 time: 0.1738 data_time: 0.0027 loss: 1.0022 03/11 01:37:13 - mmengine - INFO - Epoch(train) [64][ 600/5005] lr: 1.0000e-03 eta: 9:03:02 time: 0.1721 data_time: 0.0025 loss: 1.2172 03/11 01:37:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:37:32 - mmengine - INFO - Epoch(train) [64][ 700/5005] lr: 1.0000e-03 eta: 9:02:45 time: 0.1703 data_time: 0.0027 loss: 0.9947 03/11 01:37:49 - mmengine - INFO - Epoch(train) [64][ 800/5005] lr: 1.0000e-03 eta: 9:02:27 time: 0.1691 data_time: 0.0026 loss: 0.9201 03/11 01:38:07 - mmengine - INFO - Epoch(train) [64][ 900/5005] lr: 1.0000e-03 eta: 9:02:09 time: 0.1746 data_time: 0.0025 loss: 1.1098 03/11 01:38:24 - mmengine - INFO - Epoch(train) [64][1000/5005] lr: 1.0000e-03 eta: 9:01:51 time: 0.1716 data_time: 0.0023 loss: 0.9249 03/11 01:38:42 - mmengine - INFO - Epoch(train) [64][1100/5005] lr: 1.0000e-03 eta: 9:01:33 time: 0.1698 data_time: 0.0026 loss: 0.9404 03/11 01:38:59 - mmengine - INFO - Epoch(train) [64][1200/5005] lr: 1.0000e-03 eta: 9:01:15 time: 0.1729 data_time: 0.0029 loss: 1.0757 03/11 01:39:17 - mmengine - INFO - Epoch(train) [64][1300/5005] lr: 1.0000e-03 eta: 9:00:58 time: 0.1954 data_time: 0.0024 loss: 0.9937 03/11 01:39:35 - mmengine - INFO - Epoch(train) [64][1400/5005] lr: 1.0000e-03 eta: 9:00:40 time: 0.1706 data_time: 0.0026 loss: 1.2812 03/11 01:39:52 - mmengine - INFO - Epoch(train) [64][1500/5005] lr: 1.0000e-03 eta: 9:00:23 time: 0.1703 data_time: 0.0026 loss: 1.0415 03/11 01:40:11 - mmengine - INFO - Epoch(train) [64][1600/5005] lr: 1.0000e-03 eta: 9:00:05 time: 0.1743 data_time: 0.0025 loss: 1.1530 03/11 01:40:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:40:28 - mmengine - INFO - Epoch(train) [64][1700/5005] lr: 1.0000e-03 eta: 8:59:47 time: 0.1689 data_time: 0.0024 loss: 1.0293 03/11 01:40:45 - mmengine - INFO - Epoch(train) [64][1800/5005] lr: 1.0000e-03 eta: 8:59:29 time: 0.1681 data_time: 0.0026 loss: 1.1055 03/11 01:41:04 - mmengine - INFO - Epoch(train) [64][1900/5005] lr: 1.0000e-03 eta: 8:59:12 time: 0.1713 data_time: 0.0026 loss: 1.0817 03/11 01:41:22 - mmengine - INFO - Epoch(train) [64][2000/5005] lr: 1.0000e-03 eta: 8:58:55 time: 0.1721 data_time: 0.0027 loss: 0.8616 03/11 01:41:40 - mmengine - INFO - Epoch(train) [64][2100/5005] lr: 1.0000e-03 eta: 8:58:37 time: 0.1713 data_time: 0.0023 loss: 0.9762 03/11 01:41:57 - mmengine - INFO - Epoch(train) [64][2200/5005] lr: 1.0000e-03 eta: 8:58:19 time: 0.1711 data_time: 0.0027 loss: 1.0643 03/11 01:42:15 - mmengine - INFO - Epoch(train) [64][2300/5005] lr: 1.0000e-03 eta: 8:58:01 time: 0.1703 data_time: 0.0025 loss: 1.0964 03/11 01:42:32 - mmengine - INFO - Epoch(train) [64][2400/5005] lr: 1.0000e-03 eta: 8:57:44 time: 0.1851 data_time: 0.0025 loss: 1.0789 03/11 01:42:50 - mmengine - INFO - Epoch(train) [64][2500/5005] lr: 1.0000e-03 eta: 8:57:26 time: 0.1710 data_time: 0.0028 loss: 0.9857 03/11 01:43:08 - mmengine - INFO - Epoch(train) [64][2600/5005] lr: 1.0000e-03 eta: 8:57:08 time: 0.1715 data_time: 0.0026 loss: 1.0046 03/11 01:43:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:43:25 - mmengine - INFO - Epoch(train) [64][2700/5005] lr: 1.0000e-03 eta: 8:56:51 time: 0.1723 data_time: 0.0028 loss: 1.0877 03/11 01:43:43 - mmengine - INFO - Epoch(train) [64][2800/5005] lr: 1.0000e-03 eta: 8:56:33 time: 0.1703 data_time: 0.0024 loss: 1.0046 03/11 01:44:00 - mmengine - INFO - Epoch(train) [64][2900/5005] lr: 1.0000e-03 eta: 8:56:15 time: 0.1708 data_time: 0.0028 loss: 1.0596 03/11 01:44:18 - mmengine - INFO - Epoch(train) [64][3000/5005] lr: 1.0000e-03 eta: 8:55:57 time: 0.1753 data_time: 0.0025 loss: 1.0309 03/11 01:44:35 - mmengine - INFO - Epoch(train) [64][3100/5005] lr: 1.0000e-03 eta: 8:55:39 time: 0.1699 data_time: 0.0026 loss: 1.0992 03/11 01:44:52 - mmengine - INFO - Epoch(train) [64][3200/5005] lr: 1.0000e-03 eta: 8:55:21 time: 0.1706 data_time: 0.0026 loss: 1.2088 03/11 01:45:10 - mmengine - INFO - Epoch(train) [64][3300/5005] lr: 1.0000e-03 eta: 8:55:03 time: 0.1705 data_time: 0.0026 loss: 1.0593 03/11 01:45:27 - mmengine - INFO - Epoch(train) [64][3400/5005] lr: 1.0000e-03 eta: 8:54:46 time: 0.1705 data_time: 0.0026 loss: 1.0475 03/11 01:45:44 - mmengine - INFO - Epoch(train) [64][3500/5005] lr: 1.0000e-03 eta: 8:54:28 time: 0.1731 data_time: 0.0028 loss: 1.0560 03/11 01:46:02 - mmengine - INFO - Epoch(train) [64][3600/5005] lr: 1.0000e-03 eta: 8:54:10 time: 0.1710 data_time: 0.0026 loss: 1.0227 03/11 01:46:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:46:20 - mmengine - INFO - Epoch(train) [64][3700/5005] lr: 1.0000e-03 eta: 8:53:52 time: 0.1834 data_time: 0.0027 loss: 0.9394 03/11 01:46:37 - mmengine - INFO - Epoch(train) [64][3800/5005] lr: 1.0000e-03 eta: 8:53:34 time: 0.1734 data_time: 0.0026 loss: 1.1646 03/11 01:46:55 - mmengine - INFO - Epoch(train) [64][3900/5005] lr: 1.0000e-03 eta: 8:53:16 time: 0.1703 data_time: 0.0025 loss: 0.9238 03/11 01:47:12 - mmengine - INFO - Epoch(train) [64][4000/5005] lr: 1.0000e-03 eta: 8:52:59 time: 0.1849 data_time: 0.0028 loss: 1.1473 03/11 01:47:29 - mmengine - INFO - Epoch(train) [64][4100/5005] lr: 1.0000e-03 eta: 8:52:41 time: 0.1697 data_time: 0.0027 loss: 1.0522 03/11 01:47:47 - mmengine - INFO - Epoch(train) [64][4200/5005] lr: 1.0000e-03 eta: 8:52:23 time: 0.1701 data_time: 0.0026 loss: 0.8763 03/11 01:48:05 - mmengine - INFO - Epoch(train) [64][4300/5005] lr: 1.0000e-03 eta: 8:52:05 time: 0.1735 data_time: 0.0025 loss: 1.0212 03/11 01:48:22 - mmengine - INFO - Epoch(train) [64][4400/5005] lr: 1.0000e-03 eta: 8:51:47 time: 0.1696 data_time: 0.0026 loss: 1.1833 03/11 01:48:39 - mmengine - INFO - Epoch(train) [64][4500/5005] lr: 1.0000e-03 eta: 8:51:30 time: 0.1683 data_time: 0.0025 loss: 1.2610 03/11 01:48:57 - mmengine - INFO - Epoch(train) [64][4600/5005] lr: 1.0000e-03 eta: 8:51:12 time: 0.1704 data_time: 0.0024 loss: 0.9491 03/11 01:49:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:49:14 - mmengine - INFO - Epoch(train) [64][4700/5005] lr: 1.0000e-03 eta: 8:50:54 time: 0.1719 data_time: 0.0027 loss: 1.2063 03/11 01:49:32 - mmengine - INFO - Epoch(train) [64][4800/5005] lr: 1.0000e-03 eta: 8:50:36 time: 0.1760 data_time: 0.0023 loss: 1.0189 03/11 01:49:50 - mmengine - INFO - Epoch(train) [64][4900/5005] lr: 1.0000e-03 eta: 8:50:18 time: 0.1739 data_time: 0.0025 loss: 0.9466 03/11 01:50:07 - mmengine - INFO - Epoch(train) [64][5000/5005] lr: 1.0000e-03 eta: 8:50:01 time: 0.1750 data_time: 0.0025 loss: 1.2670 03/11 01:50:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:50:13 - mmengine - INFO - Saving checkpoint at 64 epochs 03/11 01:50:34 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:00:18 time: 0.0173 data_time: 0.0004 03/11 01:50:48 - mmengine - INFO - Epoch(val) [64][196/196] accuracy/top1: 75.9340 accuracy/top5: 92.8680 03/11 01:51:25 - mmengine - INFO - Epoch(train) [65][ 100/5005] lr: 1.0000e-03 eta: 8:49:53 time: 0.1709 data_time: 0.0040 loss: 0.9695 03/11 01:51:43 - mmengine - INFO - Epoch(train) [65][ 200/5005] lr: 1.0000e-03 eta: 8:49:35 time: 0.1707 data_time: 0.0031 loss: 1.0550 03/11 01:52:01 - mmengine - INFO - Epoch(train) [65][ 300/5005] lr: 1.0000e-03 eta: 8:49:18 time: 0.1692 data_time: 0.0028 loss: 1.2813 03/11 01:52:18 - mmengine - INFO - Epoch(train) [65][ 400/5005] lr: 1.0000e-03 eta: 8:49:00 time: 0.1933 data_time: 0.0026 loss: 1.1113 03/11 01:52:36 - mmengine - INFO - Epoch(train) [65][ 500/5005] lr: 1.0000e-03 eta: 8:48:42 time: 0.1869 data_time: 0.0025 loss: 1.0328 03/11 01:52:53 - mmengine - INFO - Epoch(train) [65][ 600/5005] lr: 1.0000e-03 eta: 8:48:24 time: 0.1684 data_time: 0.0028 loss: 1.0629 03/11 01:53:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:53:11 - mmengine - INFO - Epoch(train) [65][ 700/5005] lr: 1.0000e-03 eta: 8:48:06 time: 0.1700 data_time: 0.0025 loss: 0.8835 03/11 01:53:28 - mmengine - INFO - Epoch(train) [65][ 800/5005] lr: 1.0000e-03 eta: 8:47:48 time: 0.1684 data_time: 0.0028 loss: 1.0596 03/11 01:53:45 - mmengine - INFO - Epoch(train) [65][ 900/5005] lr: 1.0000e-03 eta: 8:47:31 time: 0.1744 data_time: 0.0025 loss: 1.0480 03/11 01:54:03 - mmengine - INFO - Epoch(train) [65][1000/5005] lr: 1.0000e-03 eta: 8:47:13 time: 0.1685 data_time: 0.0025 loss: 1.0121 03/11 01:54:21 - mmengine - INFO - Epoch(train) [65][1100/5005] lr: 1.0000e-03 eta: 8:46:55 time: 0.1701 data_time: 0.0030 loss: 0.8605 03/11 01:54:39 - mmengine - INFO - Epoch(train) [65][1200/5005] lr: 1.0000e-03 eta: 8:46:38 time: 0.1726 data_time: 0.0027 loss: 1.1647 03/11 01:54:56 - mmengine - INFO - Epoch(train) [65][1300/5005] lr: 1.0000e-03 eta: 8:46:20 time: 0.1711 data_time: 0.0027 loss: 1.1568 03/11 01:55:14 - mmengine - INFO - Epoch(train) [65][1400/5005] lr: 1.0000e-03 eta: 8:46:02 time: 0.2286 data_time: 0.0026 loss: 1.0656 03/11 01:55:31 - mmengine - INFO - Epoch(train) [65][1500/5005] lr: 1.0000e-03 eta: 8:45:44 time: 0.1720 data_time: 0.0025 loss: 0.9605 03/11 01:55:49 - mmengine - INFO - Epoch(train) [65][1600/5005] lr: 1.0000e-03 eta: 8:45:26 time: 0.1706 data_time: 0.0027 loss: 1.1239 03/11 01:56:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:56:06 - mmengine - INFO - Epoch(train) [65][1700/5005] lr: 1.0000e-03 eta: 8:45:08 time: 0.1685 data_time: 0.0029 loss: 1.0790 03/11 01:56:24 - mmengine - INFO - Epoch(train) [65][1800/5005] lr: 1.0000e-03 eta: 8:44:51 time: 0.1719 data_time: 0.0025 loss: 1.0922 03/11 01:56:41 - mmengine - INFO - Epoch(train) [65][1900/5005] lr: 1.0000e-03 eta: 8:44:33 time: 0.1745 data_time: 0.0029 loss: 1.1761 03/11 01:56:59 - mmengine - INFO - Epoch(train) [65][2000/5005] lr: 1.0000e-03 eta: 8:44:15 time: 0.2049 data_time: 0.0025 loss: 0.7620 03/11 01:57:16 - mmengine - INFO - Epoch(train) [65][2100/5005] lr: 1.0000e-03 eta: 8:43:57 time: 0.1715 data_time: 0.0025 loss: 0.9872 03/11 01:57:33 - mmengine - INFO - Epoch(train) [65][2200/5005] lr: 1.0000e-03 eta: 8:43:39 time: 0.1727 data_time: 0.0025 loss: 0.9754 03/11 01:57:51 - mmengine - INFO - Epoch(train) [65][2300/5005] lr: 1.0000e-03 eta: 8:43:22 time: 0.1992 data_time: 0.0024 loss: 1.1727 03/11 01:58:09 - mmengine - INFO - Epoch(train) [65][2400/5005] lr: 1.0000e-03 eta: 8:43:04 time: 0.1732 data_time: 0.0025 loss: 0.8743 03/11 01:58:26 - mmengine - INFO - Epoch(train) [65][2500/5005] lr: 1.0000e-03 eta: 8:42:46 time: 0.1726 data_time: 0.0029 loss: 0.8692 03/11 01:58:43 - mmengine - INFO - Epoch(train) [65][2600/5005] lr: 1.0000e-03 eta: 8:42:28 time: 0.1717 data_time: 0.0024 loss: 1.0309 03/11 01:58:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 01:59:01 - mmengine - INFO - Epoch(train) [65][2700/5005] lr: 1.0000e-03 eta: 8:42:10 time: 0.1709 data_time: 0.0026 loss: 1.1314 03/11 01:59:18 - mmengine - INFO - Epoch(train) [65][2800/5005] lr: 1.0000e-03 eta: 8:41:52 time: 0.1690 data_time: 0.0027 loss: 0.9228 03/11 01:59:35 - mmengine - INFO - Epoch(train) [65][2900/5005] lr: 1.0000e-03 eta: 8:41:34 time: 0.1711 data_time: 0.0026 loss: 1.2239 03/11 01:59:53 - mmengine - INFO - Epoch(train) [65][3000/5005] lr: 1.0000e-03 eta: 8:41:17 time: 0.1858 data_time: 0.0027 loss: 1.0029 03/11 02:00:11 - mmengine - INFO - Epoch(train) [65][3100/5005] lr: 1.0000e-03 eta: 8:40:59 time: 0.1723 data_time: 0.0028 loss: 0.9162 03/11 02:00:28 - mmengine - INFO - Epoch(train) [65][3200/5005] lr: 1.0000e-03 eta: 8:40:41 time: 0.1699 data_time: 0.0028 loss: 1.0070 03/11 02:00:46 - mmengine - INFO - Epoch(train) [65][3300/5005] lr: 1.0000e-03 eta: 8:40:23 time: 0.1707 data_time: 0.0026 loss: 1.1423 03/11 02:01:03 - mmengine - INFO - Epoch(train) [65][3400/5005] lr: 1.0000e-03 eta: 8:40:05 time: 0.1715 data_time: 0.0027 loss: 1.0256 03/11 02:01:20 - mmengine - INFO - Epoch(train) [65][3500/5005] lr: 1.0000e-03 eta: 8:39:47 time: 0.1720 data_time: 0.0025 loss: 1.1803 03/11 02:01:38 - mmengine - INFO - Epoch(train) [65][3600/5005] lr: 1.0000e-03 eta: 8:39:30 time: 0.1918 data_time: 0.0029 loss: 1.1453 03/11 02:01:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:01:56 - mmengine - INFO - Epoch(train) [65][3700/5005] lr: 1.0000e-03 eta: 8:39:12 time: 0.1755 data_time: 0.0026 loss: 0.8765 03/11 02:02:13 - mmengine - INFO - Epoch(train) [65][3800/5005] lr: 1.0000e-03 eta: 8:38:54 time: 0.1723 data_time: 0.0026 loss: 1.0094 03/11 02:02:31 - mmengine - INFO - Epoch(train) [65][3900/5005] lr: 1.0000e-03 eta: 8:38:37 time: 0.1926 data_time: 0.0028 loss: 1.0171 03/11 02:02:48 - mmengine - INFO - Epoch(train) [65][4000/5005] lr: 1.0000e-03 eta: 8:38:19 time: 0.1720 data_time: 0.0027 loss: 0.9734 03/11 02:03:05 - mmengine - INFO - Epoch(train) [65][4100/5005] lr: 1.0000e-03 eta: 8:38:01 time: 0.1735 data_time: 0.0028 loss: 1.1427 03/11 02:03:23 - mmengine - INFO - Epoch(train) [65][4200/5005] lr: 1.0000e-03 eta: 8:37:43 time: 0.1692 data_time: 0.0025 loss: 1.0237 03/11 02:03:41 - mmengine - INFO - Epoch(train) [65][4300/5005] lr: 1.0000e-03 eta: 8:37:25 time: 0.1990 data_time: 0.0025 loss: 0.8773 03/11 02:03:58 - mmengine - INFO - Epoch(train) [65][4400/5005] lr: 1.0000e-03 eta: 8:37:07 time: 0.1715 data_time: 0.0025 loss: 1.0463 03/11 02:04:16 - mmengine - INFO - Epoch(train) [65][4500/5005] lr: 1.0000e-03 eta: 8:36:50 time: 0.1746 data_time: 0.0028 loss: 1.0737 03/11 02:04:33 - mmengine - INFO - Epoch(train) [65][4600/5005] lr: 1.0000e-03 eta: 8:36:32 time: 0.1690 data_time: 0.0028 loss: 0.9908 03/11 02:04:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:04:51 - mmengine - INFO - Epoch(train) [65][4700/5005] lr: 1.0000e-03 eta: 8:36:14 time: 0.1716 data_time: 0.0026 loss: 1.0915 03/11 02:05:08 - mmengine - INFO - Epoch(train) [65][4800/5005] lr: 1.0000e-03 eta: 8:35:56 time: 0.1666 data_time: 0.0024 loss: 0.9588 03/11 02:05:25 - mmengine - INFO - Epoch(train) [65][4900/5005] lr: 1.0000e-03 eta: 8:35:38 time: 0.1685 data_time: 0.0023 loss: 1.2038 03/11 02:05:42 - mmengine - INFO - Epoch(train) [65][5000/5005] lr: 1.0000e-03 eta: 8:35:20 time: 0.1701 data_time: 0.0027 loss: 1.1696 03/11 02:05:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:05:47 - mmengine - INFO - Saving checkpoint at 65 epochs 03/11 02:06:08 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:00:18 time: 0.0160 data_time: 0.0004 03/11 02:06:22 - mmengine - INFO - Epoch(val) [65][196/196] accuracy/top1: 75.9300 accuracy/top5: 92.9780 03/11 02:06:59 - mmengine - INFO - Epoch(train) [66][ 100/5005] lr: 1.0000e-03 eta: 8:35:12 time: 0.1737 data_time: 0.0033 loss: 0.9633 03/11 02:07:17 - mmengine - INFO - Epoch(train) [66][ 200/5005] lr: 1.0000e-03 eta: 8:34:54 time: 0.1720 data_time: 0.0029 loss: 1.0179 03/11 02:07:34 - mmengine - INFO - Epoch(train) [66][ 300/5005] lr: 1.0000e-03 eta: 8:34:36 time: 0.1707 data_time: 0.0026 loss: 1.1243 03/11 02:07:52 - mmengine - INFO - Epoch(train) [66][ 400/5005] lr: 1.0000e-03 eta: 8:34:18 time: 0.1723 data_time: 0.0031 loss: 1.1899 03/11 02:08:10 - mmengine - INFO - Epoch(train) [66][ 500/5005] lr: 1.0000e-03 eta: 8:34:01 time: 0.1706 data_time: 0.0026 loss: 1.0832 03/11 02:08:28 - mmengine - INFO - Epoch(train) [66][ 600/5005] lr: 1.0000e-03 eta: 8:33:43 time: 0.1714 data_time: 0.0026 loss: 1.0346 03/11 02:08:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:08:45 - mmengine - INFO - Epoch(train) [66][ 700/5005] lr: 1.0000e-03 eta: 8:33:25 time: 0.1700 data_time: 0.0028 loss: 1.1135 03/11 02:09:02 - mmengine - INFO - Epoch(train) [66][ 800/5005] lr: 1.0000e-03 eta: 8:33:07 time: 0.1703 data_time: 0.0028 loss: 0.9151 03/11 02:09:20 - mmengine - INFO - Epoch(train) [66][ 900/5005] lr: 1.0000e-03 eta: 8:32:49 time: 0.1743 data_time: 0.0028 loss: 1.0734 03/11 02:09:38 - mmengine - INFO - Epoch(train) [66][1000/5005] lr: 1.0000e-03 eta: 8:32:32 time: 0.1727 data_time: 0.0028 loss: 1.0451 03/11 02:09:55 - mmengine - INFO - Epoch(train) [66][1100/5005] lr: 1.0000e-03 eta: 8:32:14 time: 0.1737 data_time: 0.0025 loss: 1.0687 03/11 02:10:13 - mmengine - INFO - Epoch(train) [66][1200/5005] lr: 1.0000e-03 eta: 8:31:56 time: 0.1914 data_time: 0.0027 loss: 1.0801 03/11 02:10:31 - mmengine - INFO - Epoch(train) [66][1300/5005] lr: 1.0000e-03 eta: 8:31:39 time: 0.1702 data_time: 0.0028 loss: 1.1025 03/11 02:10:48 - mmengine - INFO - Epoch(train) [66][1400/5005] lr: 1.0000e-03 eta: 8:31:21 time: 0.1730 data_time: 0.0029 loss: 1.1373 03/11 02:11:06 - mmengine - INFO - Epoch(train) [66][1500/5005] lr: 1.0000e-03 eta: 8:31:03 time: 0.1706 data_time: 0.0027 loss: 0.9945 03/11 02:11:24 - mmengine - INFO - Epoch(train) [66][1600/5005] lr: 1.0000e-03 eta: 8:30:45 time: 0.1708 data_time: 0.0027 loss: 1.0090 03/11 02:11:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:11:41 - mmengine - INFO - Epoch(train) [66][1700/5005] lr: 1.0000e-03 eta: 8:30:28 time: 0.1718 data_time: 0.0027 loss: 1.0880 03/11 02:11:59 - mmengine - INFO - Epoch(train) [66][1800/5005] lr: 1.0000e-03 eta: 8:30:10 time: 0.1742 data_time: 0.0033 loss: 1.0194 03/11 02:12:16 - mmengine - INFO - Epoch(train) [66][1900/5005] lr: 1.0000e-03 eta: 8:29:52 time: 0.1724 data_time: 0.0029 loss: 0.9789 03/11 02:12:34 - mmengine - INFO - Epoch(train) [66][2000/5005] lr: 1.0000e-03 eta: 8:29:34 time: 0.1713 data_time: 0.0028 loss: 1.0690 03/11 02:12:51 - mmengine - INFO - Epoch(train) [66][2100/5005] lr: 1.0000e-03 eta: 8:29:16 time: 0.1707 data_time: 0.0027 loss: 0.8792 03/11 02:13:09 - mmengine - INFO - Epoch(train) [66][2200/5005] lr: 1.0000e-03 eta: 8:28:59 time: 0.1750 data_time: 0.0026 loss: 0.9671 03/11 02:13:26 - mmengine - INFO - Epoch(train) [66][2300/5005] lr: 1.0000e-03 eta: 8:28:41 time: 0.1698 data_time: 0.0026 loss: 1.0490 03/11 02:13:43 - mmengine - INFO - Epoch(train) [66][2400/5005] lr: 1.0000e-03 eta: 8:28:23 time: 0.1701 data_time: 0.0026 loss: 0.9324 03/11 02:14:01 - mmengine - INFO - Epoch(train) [66][2500/5005] lr: 1.0000e-03 eta: 8:28:05 time: 0.1713 data_time: 0.0026 loss: 1.0938 03/11 02:14:18 - mmengine - INFO - Epoch(train) [66][2600/5005] lr: 1.0000e-03 eta: 8:27:47 time: 0.1709 data_time: 0.0028 loss: 0.8738 03/11 02:14:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:14:36 - mmengine - INFO - Epoch(train) [66][2700/5005] lr: 1.0000e-03 eta: 8:27:29 time: 0.1687 data_time: 0.0025 loss: 0.9959 03/11 02:14:53 - mmengine - INFO - Epoch(train) [66][2800/5005] lr: 1.0000e-03 eta: 8:27:12 time: 0.1711 data_time: 0.0025 loss: 1.0504 03/11 02:15:10 - mmengine - INFO - Epoch(train) [66][2900/5005] lr: 1.0000e-03 eta: 8:26:54 time: 0.1690 data_time: 0.0026 loss: 1.1152 03/11 02:15:28 - mmengine - INFO - Epoch(train) [66][3000/5005] lr: 1.0000e-03 eta: 8:26:36 time: 0.1679 data_time: 0.0025 loss: 0.9637 03/11 02:15:45 - mmengine - INFO - Epoch(train) [66][3100/5005] lr: 1.0000e-03 eta: 8:26:18 time: 0.1695 data_time: 0.0026 loss: 0.9920 03/11 02:16:02 - mmengine - INFO - Epoch(train) [66][3200/5005] lr: 1.0000e-03 eta: 8:26:00 time: 0.1680 data_time: 0.0025 loss: 0.9567 03/11 02:16:20 - mmengine - INFO - Epoch(train) [66][3300/5005] lr: 1.0000e-03 eta: 8:25:42 time: 0.1838 data_time: 0.0026 loss: 0.9530 03/11 02:16:38 - mmengine - INFO - Epoch(train) [66][3400/5005] lr: 1.0000e-03 eta: 8:25:24 time: 0.1729 data_time: 0.0028 loss: 1.0199 03/11 02:16:55 - mmengine - INFO - Epoch(train) [66][3500/5005] lr: 1.0000e-03 eta: 8:25:07 time: 0.1725 data_time: 0.0025 loss: 1.0939 03/11 02:17:12 - mmengine - INFO - Epoch(train) [66][3600/5005] lr: 1.0000e-03 eta: 8:24:49 time: 0.1709 data_time: 0.0026 loss: 1.0773 03/11 02:17:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:17:30 - mmengine - INFO - Epoch(train) [66][3700/5005] lr: 1.0000e-03 eta: 8:24:31 time: 0.1721 data_time: 0.0026 loss: 1.0347 03/11 02:17:47 - mmengine - INFO - Epoch(train) [66][3800/5005] lr: 1.0000e-03 eta: 8:24:13 time: 0.1711 data_time: 0.0025 loss: 0.9988 03/11 02:18:05 - mmengine - INFO - Epoch(train) [66][3900/5005] lr: 1.0000e-03 eta: 8:23:55 time: 0.1703 data_time: 0.0027 loss: 1.0692 03/11 02:18:22 - mmengine - INFO - Epoch(train) [66][4000/5005] lr: 1.0000e-03 eta: 8:23:37 time: 0.1692 data_time: 0.0025 loss: 0.9905 03/11 02:18:40 - mmengine - INFO - Epoch(train) [66][4100/5005] lr: 1.0000e-03 eta: 8:23:20 time: 0.1703 data_time: 0.0028 loss: 1.0064 03/11 02:18:57 - mmengine - INFO - Epoch(train) [66][4200/5005] lr: 1.0000e-03 eta: 8:23:02 time: 0.1709 data_time: 0.0028 loss: 0.9388 03/11 02:19:14 - mmengine - INFO - Epoch(train) [66][4300/5005] lr: 1.0000e-03 eta: 8:22:44 time: 0.1698 data_time: 0.0026 loss: 1.1567 03/11 02:19:32 - mmengine - INFO - Epoch(train) [66][4400/5005] lr: 1.0000e-03 eta: 8:22:26 time: 0.1744 data_time: 0.0028 loss: 1.0173 03/11 02:19:49 - mmengine - INFO - Epoch(train) [66][4500/5005] lr: 1.0000e-03 eta: 8:22:08 time: 0.1869 data_time: 0.0026 loss: 0.9812 03/11 02:20:07 - mmengine - INFO - Epoch(train) [66][4600/5005] lr: 1.0000e-03 eta: 8:21:50 time: 0.1695 data_time: 0.0025 loss: 0.9348 03/11 02:20:20 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:20:24 - mmengine - INFO - Epoch(train) [66][4700/5005] lr: 1.0000e-03 eta: 8:21:32 time: 0.1707 data_time: 0.0027 loss: 1.1101 03/11 02:20:41 - mmengine - INFO - Epoch(train) [66][4800/5005] lr: 1.0000e-03 eta: 8:21:15 time: 0.1705 data_time: 0.0025 loss: 1.0789 03/11 02:20:59 - mmengine - INFO - Epoch(train) [66][4900/5005] lr: 1.0000e-03 eta: 8:20:57 time: 0.1700 data_time: 0.0025 loss: 1.0857 03/11 02:21:16 - mmengine - INFO - Epoch(train) [66][5000/5005] lr: 1.0000e-03 eta: 8:20:39 time: 0.1725 data_time: 0.0026 loss: 0.9850 03/11 02:21:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:21:21 - mmengine - INFO - Saving checkpoint at 66 epochs 03/11 02:21:42 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:00:19 time: 0.0155 data_time: 0.0004 03/11 02:21:57 - mmengine - INFO - Epoch(val) [66][196/196] accuracy/top1: 76.1600 accuracy/top5: 93.0260 03/11 02:22:35 - mmengine - INFO - Epoch(train) [67][ 100/5005] lr: 1.0000e-03 eta: 8:20:30 time: 0.1706 data_time: 0.0028 loss: 1.0515 03/11 02:22:52 - mmengine - INFO - Epoch(train) [67][ 200/5005] lr: 1.0000e-03 eta: 8:20:12 time: 0.1751 data_time: 0.0028 loss: 1.0661 03/11 02:23:09 - mmengine - INFO - Epoch(train) [67][ 300/5005] lr: 1.0000e-03 eta: 8:19:54 time: 0.1733 data_time: 0.0036 loss: 1.0192 03/11 02:23:27 - mmengine - INFO - Epoch(train) [67][ 400/5005] lr: 1.0000e-03 eta: 8:19:37 time: 0.1692 data_time: 0.0031 loss: 0.9919 03/11 02:23:45 - mmengine - INFO - Epoch(train) [67][ 500/5005] lr: 1.0000e-03 eta: 8:19:19 time: 0.1930 data_time: 0.0026 loss: 1.0707 03/11 02:24:03 - mmengine - INFO - Epoch(train) [67][ 600/5005] lr: 1.0000e-03 eta: 8:19:02 time: 0.1717 data_time: 0.0025 loss: 1.0777 03/11 02:24:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:24:21 - mmengine - INFO - Epoch(train) [67][ 700/5005] lr: 1.0000e-03 eta: 8:18:44 time: 0.1909 data_time: 0.0025 loss: 1.0824 03/11 02:24:38 - mmengine - INFO - Epoch(train) [67][ 800/5005] lr: 1.0000e-03 eta: 8:18:26 time: 0.1731 data_time: 0.0025 loss: 1.0929 03/11 02:24:55 - mmengine - INFO - Epoch(train) [67][ 900/5005] lr: 1.0000e-03 eta: 8:18:08 time: 0.1702 data_time: 0.0026 loss: 1.1165 03/11 02:25:13 - mmengine - INFO - Epoch(train) [67][1000/5005] lr: 1.0000e-03 eta: 8:17:50 time: 0.1701 data_time: 0.0027 loss: 1.1206 03/11 02:25:31 - mmengine - INFO - Epoch(train) [67][1100/5005] lr: 1.0000e-03 eta: 8:17:33 time: 0.1698 data_time: 0.0026 loss: 0.9449 03/11 02:25:48 - mmengine - INFO - Epoch(train) [67][1200/5005] lr: 1.0000e-03 eta: 8:17:15 time: 0.1717 data_time: 0.0025 loss: 1.1111 03/11 02:26:07 - mmengine - INFO - Epoch(train) [67][1300/5005] lr: 1.0000e-03 eta: 8:16:58 time: 0.1735 data_time: 0.0028 loss: 1.0710 03/11 02:26:24 - mmengine - INFO - Epoch(train) [67][1400/5005] lr: 1.0000e-03 eta: 8:16:40 time: 0.1713 data_time: 0.0027 loss: 0.9628 03/11 02:26:42 - mmengine - INFO - Epoch(train) [67][1500/5005] lr: 1.0000e-03 eta: 8:16:22 time: 0.1718 data_time: 0.0026 loss: 0.9880 03/11 02:26:59 - mmengine - INFO - Epoch(train) [67][1600/5005] lr: 1.0000e-03 eta: 8:16:04 time: 0.1719 data_time: 0.0028 loss: 0.9504 03/11 02:27:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:27:17 - mmengine - INFO - Epoch(train) [67][1700/5005] lr: 1.0000e-03 eta: 8:15:46 time: 0.1704 data_time: 0.0026 loss: 0.9985 03/11 02:27:34 - mmengine - INFO - Epoch(train) [67][1800/5005] lr: 1.0000e-03 eta: 8:15:29 time: 0.1730 data_time: 0.0026 loss: 0.9555 03/11 02:27:52 - mmengine - INFO - Epoch(train) [67][1900/5005] lr: 1.0000e-03 eta: 8:15:11 time: 0.1707 data_time: 0.0028 loss: 1.0846 03/11 02:28:09 - mmengine - INFO - Epoch(train) [67][2000/5005] lr: 1.0000e-03 eta: 8:14:53 time: 0.1722 data_time: 0.0026 loss: 1.0308 03/11 02:28:27 - mmengine - INFO - Epoch(train) [67][2100/5005] lr: 1.0000e-03 eta: 8:14:35 time: 0.1698 data_time: 0.0026 loss: 0.8617 03/11 02:28:44 - mmengine - INFO - Epoch(train) [67][2200/5005] lr: 1.0000e-03 eta: 8:14:17 time: 0.1709 data_time: 0.0024 loss: 1.0513 03/11 02:29:02 - mmengine - INFO - Epoch(train) [67][2300/5005] lr: 1.0000e-03 eta: 8:14:00 time: 0.1750 data_time: 0.0027 loss: 0.9739 03/11 02:29:20 - mmengine - INFO - Epoch(train) [67][2400/5005] lr: 1.0000e-03 eta: 8:13:42 time: 0.1698 data_time: 0.0026 loss: 0.9975 03/11 02:29:37 - mmengine - INFO - Epoch(train) [67][2500/5005] lr: 1.0000e-03 eta: 8:13:24 time: 0.1717 data_time: 0.0027 loss: 0.9334 03/11 02:29:54 - mmengine - INFO - Epoch(train) [67][2600/5005] lr: 1.0000e-03 eta: 8:13:06 time: 0.1725 data_time: 0.0026 loss: 0.9943 03/11 02:30:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:30:12 - mmengine - INFO - Epoch(train) [67][2700/5005] lr: 1.0000e-03 eta: 8:12:49 time: 0.2115 data_time: 0.0025 loss: 0.9998 03/11 02:30:30 - mmengine - INFO - Epoch(train) [67][2800/5005] lr: 1.0000e-03 eta: 8:12:31 time: 0.1732 data_time: 0.0029 loss: 0.9234 03/11 02:30:47 - mmengine - INFO - Epoch(train) [67][2900/5005] lr: 1.0000e-03 eta: 8:12:13 time: 0.1695 data_time: 0.0026 loss: 1.0365 03/11 02:31:05 - mmengine - INFO - Epoch(train) [67][3000/5005] lr: 1.0000e-03 eta: 8:11:55 time: 0.1883 data_time: 0.0026 loss: 1.0319 03/11 02:31:22 - mmengine - INFO - Epoch(train) [67][3100/5005] lr: 1.0000e-03 eta: 8:11:37 time: 0.1728 data_time: 0.0027 loss: 0.9559 03/11 02:31:40 - mmengine - INFO - Epoch(train) [67][3200/5005] lr: 1.0000e-03 eta: 8:11:20 time: 0.1714 data_time: 0.0026 loss: 0.9118 03/11 02:31:57 - mmengine - INFO - Epoch(train) [67][3300/5005] lr: 1.0000e-03 eta: 8:11:02 time: 0.1879 data_time: 0.0027 loss: 1.0683 03/11 02:32:15 - mmengine - INFO - Epoch(train) [67][3400/5005] lr: 1.0000e-03 eta: 8:10:44 time: 0.1724 data_time: 0.0025 loss: 0.9933 03/11 02:32:32 - mmengine - INFO - Epoch(train) [67][3500/5005] lr: 1.0000e-03 eta: 8:10:26 time: 0.1708 data_time: 0.0026 loss: 0.9975 03/11 02:32:50 - mmengine - INFO - Epoch(train) [67][3600/5005] lr: 1.0000e-03 eta: 8:10:09 time: 0.1732 data_time: 0.0028 loss: 1.1246 03/11 02:33:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:33:08 - mmengine - INFO - Epoch(train) [67][3700/5005] lr: 1.0000e-03 eta: 8:09:51 time: 0.1688 data_time: 0.0029 loss: 1.1540 03/11 02:33:25 - mmengine - INFO - Epoch(train) [67][3800/5005] lr: 1.0000e-03 eta: 8:09:33 time: 0.1704 data_time: 0.0026 loss: 1.0522 03/11 02:33:42 - mmengine - INFO - Epoch(train) [67][3900/5005] lr: 1.0000e-03 eta: 8:09:15 time: 0.1721 data_time: 0.0025 loss: 1.0995 03/11 02:34:00 - mmengine - INFO - Epoch(train) [67][4000/5005] lr: 1.0000e-03 eta: 8:08:57 time: 0.1698 data_time: 0.0026 loss: 1.1568 03/11 02:34:17 - mmengine - INFO - Epoch(train) [67][4100/5005] lr: 1.0000e-03 eta: 8:08:39 time: 0.1702 data_time: 0.0029 loss: 1.1195 03/11 02:34:35 - mmengine - INFO - Epoch(train) [67][4200/5005] lr: 1.0000e-03 eta: 8:08:22 time: 0.1697 data_time: 0.0026 loss: 1.0424 03/11 02:34:53 - mmengine - INFO - Epoch(train) [67][4300/5005] lr: 1.0000e-03 eta: 8:08:04 time: 0.1749 data_time: 0.0026 loss: 1.1471 03/11 02:35:10 - mmengine - INFO - Epoch(train) [67][4400/5005] lr: 1.0000e-03 eta: 8:07:46 time: 0.1717 data_time: 0.0026 loss: 1.0461 03/11 02:35:28 - mmengine - INFO - Epoch(train) [67][4500/5005] lr: 1.0000e-03 eta: 8:07:28 time: 0.1713 data_time: 0.0026 loss: 1.1161 03/11 02:35:45 - mmengine - INFO - Epoch(train) [67][4600/5005] lr: 1.0000e-03 eta: 8:07:11 time: 0.1701 data_time: 0.0026 loss: 1.0050 03/11 02:35:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:36:03 - mmengine - INFO - Epoch(train) [67][4700/5005] lr: 1.0000e-03 eta: 8:06:53 time: 0.1722 data_time: 0.0029 loss: 1.1209 03/11 02:36:20 - mmengine - INFO - Epoch(train) [67][4800/5005] lr: 1.0000e-03 eta: 8:06:35 time: 0.1680 data_time: 0.0025 loss: 1.0276 03/11 02:36:37 - mmengine - INFO - Epoch(train) [67][4900/5005] lr: 1.0000e-03 eta: 8:06:17 time: 0.1685 data_time: 0.0024 loss: 1.0964 03/11 02:36:54 - mmengine - INFO - Epoch(train) [67][5000/5005] lr: 1.0000e-03 eta: 8:05:59 time: 0.1656 data_time: 0.0025 loss: 1.1328 03/11 02:36:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:37:00 - mmengine - INFO - Saving checkpoint at 67 epochs 03/11 02:37:21 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:00:19 time: 0.0160 data_time: 0.0004 03/11 02:37:36 - mmengine - INFO - Epoch(val) [67][196/196] accuracy/top1: 76.1540 accuracy/top5: 93.1020 03/11 02:38:12 - mmengine - INFO - Epoch(train) [68][ 100/5005] lr: 1.0000e-03 eta: 8:05:50 time: 0.1721 data_time: 0.0040 loss: 1.1644 03/11 02:38:30 - mmengine - INFO - Epoch(train) [68][ 200/5005] lr: 1.0000e-03 eta: 8:05:32 time: 0.1698 data_time: 0.0027 loss: 0.9697 03/11 02:38:47 - mmengine - INFO - Epoch(train) [68][ 300/5005] lr: 1.0000e-03 eta: 8:05:14 time: 0.1724 data_time: 0.0027 loss: 1.0264 03/11 02:39:05 - mmengine - INFO - Epoch(train) [68][ 400/5005] lr: 1.0000e-03 eta: 8:04:56 time: 0.1721 data_time: 0.0025 loss: 1.0312 03/11 02:39:24 - mmengine - INFO - Epoch(train) [68][ 500/5005] lr: 1.0000e-03 eta: 8:04:39 time: 0.1695 data_time: 0.0028 loss: 0.8315 03/11 02:39:41 - mmengine - INFO - Epoch(train) [68][ 600/5005] lr: 1.0000e-03 eta: 8:04:21 time: 0.1729 data_time: 0.0028 loss: 0.8874 03/11 02:39:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:39:59 - mmengine - INFO - Epoch(train) [68][ 700/5005] lr: 1.0000e-03 eta: 8:04:04 time: 0.1716 data_time: 0.0027 loss: 0.9160 03/11 02:40:17 - mmengine - INFO - Epoch(train) [68][ 800/5005] lr: 1.0000e-03 eta: 8:03:46 time: 0.1724 data_time: 0.0027 loss: 1.0981 03/11 02:40:34 - mmengine - INFO - Epoch(train) [68][ 900/5005] lr: 1.0000e-03 eta: 8:03:28 time: 0.1714 data_time: 0.0028 loss: 0.9752 03/11 02:40:52 - mmengine - INFO - Epoch(train) [68][1000/5005] lr: 1.0000e-03 eta: 8:03:10 time: 0.1712 data_time: 0.0026 loss: 1.0816 03/11 02:41:10 - mmengine - INFO - Epoch(train) [68][1100/5005] lr: 1.0000e-03 eta: 8:02:53 time: 0.1722 data_time: 0.0028 loss: 1.0606 03/11 02:41:27 - mmengine - INFO - Epoch(train) [68][1200/5005] lr: 1.0000e-03 eta: 8:02:35 time: 0.1706 data_time: 0.0026 loss: 1.0044 03/11 02:41:45 - mmengine - INFO - Epoch(train) [68][1300/5005] lr: 1.0000e-03 eta: 8:02:17 time: 0.1692 data_time: 0.0031 loss: 0.9650 03/11 02:42:02 - mmengine - INFO - Epoch(train) [68][1400/5005] lr: 1.0000e-03 eta: 8:01:59 time: 0.1730 data_time: 0.0026 loss: 0.9844 03/11 02:42:20 - mmengine - INFO - Epoch(train) [68][1500/5005] lr: 1.0000e-03 eta: 8:01:41 time: 0.1697 data_time: 0.0027 loss: 1.0789 03/11 02:42:37 - mmengine - INFO - Epoch(train) [68][1600/5005] lr: 1.0000e-03 eta: 8:01:24 time: 0.1725 data_time: 0.0027 loss: 1.0949 03/11 02:42:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:42:55 - mmengine - INFO - Epoch(train) [68][1700/5005] lr: 1.0000e-03 eta: 8:01:06 time: 0.1709 data_time: 0.0030 loss: 0.9189 03/11 02:43:12 - mmengine - INFO - Epoch(train) [68][1800/5005] lr: 1.0000e-03 eta: 8:00:48 time: 0.1711 data_time: 0.0028 loss: 0.9118 03/11 02:43:30 - mmengine - INFO - Epoch(train) [68][1900/5005] lr: 1.0000e-03 eta: 8:00:30 time: 0.1702 data_time: 0.0027 loss: 0.9874 03/11 02:43:47 - mmengine - INFO - Epoch(train) [68][2000/5005] lr: 1.0000e-03 eta: 8:00:12 time: 0.1725 data_time: 0.0026 loss: 1.0085 03/11 02:44:04 - mmengine - INFO - Epoch(train) [68][2100/5005] lr: 1.0000e-03 eta: 7:59:54 time: 0.1731 data_time: 0.0031 loss: 0.9086 03/11 02:44:22 - mmengine - INFO - Epoch(train) [68][2200/5005] lr: 1.0000e-03 eta: 7:59:37 time: 0.1696 data_time: 0.0027 loss: 1.1347 03/11 02:44:39 - mmengine - INFO - Epoch(train) [68][2300/5005] lr: 1.0000e-03 eta: 7:59:19 time: 0.1873 data_time: 0.0028 loss: 1.0842 03/11 02:44:57 - mmengine - INFO - Epoch(train) [68][2400/5005] lr: 1.0000e-03 eta: 7:59:01 time: 0.1701 data_time: 0.0027 loss: 0.9483 03/11 02:45:14 - mmengine - INFO - Epoch(train) [68][2500/5005] lr: 1.0000e-03 eta: 7:58:43 time: 0.1720 data_time: 0.0026 loss: 1.1711 03/11 02:45:31 - mmengine - INFO - Epoch(train) [68][2600/5005] lr: 1.0000e-03 eta: 7:58:25 time: 0.1690 data_time: 0.0025 loss: 1.0069 03/11 02:45:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:45:49 - mmengine - INFO - Epoch(train) [68][2700/5005] lr: 1.0000e-03 eta: 7:58:07 time: 0.1714 data_time: 0.0027 loss: 1.0208 03/11 02:46:06 - mmengine - INFO - Epoch(train) [68][2800/5005] lr: 1.0000e-03 eta: 7:57:50 time: 0.1715 data_time: 0.0027 loss: 1.0492 03/11 02:46:24 - mmengine - INFO - Epoch(train) [68][2900/5005] lr: 1.0000e-03 eta: 7:57:32 time: 0.1718 data_time: 0.0027 loss: 0.9115 03/11 02:46:41 - mmengine - INFO - Epoch(train) [68][3000/5005] lr: 1.0000e-03 eta: 7:57:14 time: 0.1695 data_time: 0.0026 loss: 1.1379 03/11 02:46:59 - mmengine - INFO - Epoch(train) [68][3100/5005] lr: 1.0000e-03 eta: 7:56:56 time: 0.1704 data_time: 0.0028 loss: 0.9751 03/11 02:47:16 - mmengine - INFO - Epoch(train) [68][3200/5005] lr: 1.0000e-03 eta: 7:56:38 time: 0.1714 data_time: 0.0028 loss: 1.1129 03/11 02:47:33 - mmengine - INFO - Epoch(train) [68][3300/5005] lr: 1.0000e-03 eta: 7:56:21 time: 0.1884 data_time: 0.0026 loss: 1.2705 03/11 02:47:51 - mmengine - INFO - Epoch(train) [68][3400/5005] lr: 1.0000e-03 eta: 7:56:03 time: 0.1718 data_time: 0.0026 loss: 0.9653 03/11 02:48:08 - mmengine - INFO - Epoch(train) [68][3500/5005] lr: 1.0000e-03 eta: 7:55:45 time: 0.1718 data_time: 0.0027 loss: 1.1469 03/11 02:48:26 - mmengine - INFO - Epoch(train) [68][3600/5005] lr: 1.0000e-03 eta: 7:55:27 time: 0.1694 data_time: 0.0026 loss: 0.9928 03/11 02:48:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:48:43 - mmengine - INFO - Epoch(train) [68][3700/5005] lr: 1.0000e-03 eta: 7:55:09 time: 0.1715 data_time: 0.0025 loss: 0.9830 03/11 02:49:01 - mmengine - INFO - Epoch(train) [68][3800/5005] lr: 1.0000e-03 eta: 7:54:52 time: 0.1732 data_time: 0.0026 loss: 0.9271 03/11 02:49:18 - mmengine - INFO - Epoch(train) [68][3900/5005] lr: 1.0000e-03 eta: 7:54:34 time: 0.1726 data_time: 0.0026 loss: 0.8733 03/11 02:49:36 - mmengine - INFO - Epoch(train) [68][4000/5005] lr: 1.0000e-03 eta: 7:54:16 time: 0.1704 data_time: 0.0026 loss: 0.9298 03/11 02:49:53 - mmengine - INFO - Epoch(train) [68][4100/5005] lr: 1.0000e-03 eta: 7:53:58 time: 0.1716 data_time: 0.0028 loss: 1.0436 03/11 02:50:10 - mmengine - INFO - Epoch(train) [68][4200/5005] lr: 1.0000e-03 eta: 7:53:40 time: 0.1696 data_time: 0.0025 loss: 0.9868 03/11 02:50:28 - mmengine - INFO - Epoch(train) [68][4300/5005] lr: 1.0000e-03 eta: 7:53:22 time: 0.1709 data_time: 0.0027 loss: 1.1313 03/11 02:50:46 - mmengine - INFO - Epoch(train) [68][4400/5005] lr: 1.0000e-03 eta: 7:53:05 time: 0.1739 data_time: 0.0029 loss: 0.9159 03/11 02:51:03 - mmengine - INFO - Epoch(train) [68][4500/5005] lr: 1.0000e-03 eta: 7:52:47 time: 0.1738 data_time: 0.0026 loss: 0.9807 03/11 02:51:21 - mmengine - INFO - Epoch(train) [68][4600/5005] lr: 1.0000e-03 eta: 7:52:29 time: 0.1726 data_time: 0.0025 loss: 0.9805 03/11 02:51:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:51:38 - mmengine - INFO - Epoch(train) [68][4700/5005] lr: 1.0000e-03 eta: 7:52:11 time: 0.1723 data_time: 0.0026 loss: 1.0878 03/11 02:51:56 - mmengine - INFO - Epoch(train) [68][4800/5005] lr: 1.0000e-03 eta: 7:51:53 time: 0.1683 data_time: 0.0026 loss: 1.0001 03/11 02:52:13 - mmengine - INFO - Epoch(train) [68][4900/5005] lr: 1.0000e-03 eta: 7:51:35 time: 0.1690 data_time: 0.0027 loss: 1.0745 03/11 02:52:30 - mmengine - INFO - Epoch(train) [68][5000/5005] lr: 1.0000e-03 eta: 7:51:17 time: 0.1683 data_time: 0.0025 loss: 0.9450 03/11 02:52:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:52:35 - mmengine - INFO - Saving checkpoint at 68 epochs 03/11 02:52:56 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:00:19 time: 0.0189 data_time: 0.0004 03/11 02:53:11 - mmengine - INFO - Epoch(val) [68][196/196] accuracy/top1: 76.1380 accuracy/top5: 93.0860 03/11 02:53:49 - mmengine - INFO - Epoch(train) [69][ 100/5005] lr: 1.0000e-03 eta: 7:51:09 time: 0.1709 data_time: 0.0031 loss: 0.8487 03/11 02:54:07 - mmengine - INFO - Epoch(train) [69][ 200/5005] lr: 1.0000e-03 eta: 7:50:51 time: 0.1739 data_time: 0.0027 loss: 0.9733 03/11 02:54:24 - mmengine - INFO - Epoch(train) [69][ 300/5005] lr: 1.0000e-03 eta: 7:50:33 time: 0.1714 data_time: 0.0032 loss: 0.8952 03/11 02:54:42 - mmengine - INFO - Epoch(train) [69][ 400/5005] lr: 1.0000e-03 eta: 7:50:15 time: 0.1715 data_time: 0.0025 loss: 0.9597 03/11 02:55:00 - mmengine - INFO - Epoch(train) [69][ 500/5005] lr: 1.0000e-03 eta: 7:49:58 time: 0.1724 data_time: 0.0025 loss: 0.9514 03/11 02:55:17 - mmengine - INFO - Epoch(train) [69][ 600/5005] lr: 1.0000e-03 eta: 7:49:40 time: 0.1718 data_time: 0.0031 loss: 1.0732 03/11 02:55:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:55:35 - mmengine - INFO - Epoch(train) [69][ 700/5005] lr: 1.0000e-03 eta: 7:49:22 time: 0.1953 data_time: 0.0027 loss: 1.1061 03/11 02:55:53 - mmengine - INFO - Epoch(train) [69][ 800/5005] lr: 1.0000e-03 eta: 7:49:04 time: 0.1705 data_time: 0.0026 loss: 1.0569 03/11 02:56:10 - mmengine - INFO - Epoch(train) [69][ 900/5005] lr: 1.0000e-03 eta: 7:48:47 time: 0.1748 data_time: 0.0027 loss: 1.0641 03/11 02:56:28 - mmengine - INFO - Epoch(train) [69][1000/5005] lr: 1.0000e-03 eta: 7:48:29 time: 0.1736 data_time: 0.0027 loss: 0.9640 03/11 02:56:45 - mmengine - INFO - Epoch(train) [69][1100/5005] lr: 1.0000e-03 eta: 7:48:11 time: 0.1699 data_time: 0.0026 loss: 0.8375 03/11 02:57:03 - mmengine - INFO - Epoch(train) [69][1200/5005] lr: 1.0000e-03 eta: 7:47:54 time: 0.2272 data_time: 0.0030 loss: 1.0539 03/11 02:57:21 - mmengine - INFO - Epoch(train) [69][1300/5005] lr: 1.0000e-03 eta: 7:47:36 time: 0.1718 data_time: 0.0027 loss: 0.9895 03/11 02:57:38 - mmengine - INFO - Epoch(train) [69][1400/5005] lr: 1.0000e-03 eta: 7:47:18 time: 0.1715 data_time: 0.0027 loss: 1.1759 03/11 02:57:56 - mmengine - INFO - Epoch(train) [69][1500/5005] lr: 1.0000e-03 eta: 7:47:00 time: 0.1706 data_time: 0.0027 loss: 0.8620 03/11 02:58:13 - mmengine - INFO - Epoch(train) [69][1600/5005] lr: 1.0000e-03 eta: 7:46:42 time: 0.1701 data_time: 0.0028 loss: 0.8456 03/11 02:58:24 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 02:58:31 - mmengine - INFO - Epoch(train) [69][1700/5005] lr: 1.0000e-03 eta: 7:46:25 time: 0.1724 data_time: 0.0028 loss: 0.9833 03/11 02:58:49 - mmengine - INFO - Epoch(train) [69][1800/5005] lr: 1.0000e-03 eta: 7:46:07 time: 0.1715 data_time: 0.0027 loss: 1.0748 03/11 02:59:06 - mmengine - INFO - Epoch(train) [69][1900/5005] lr: 1.0000e-03 eta: 7:45:49 time: 0.1749 data_time: 0.0026 loss: 1.0623 03/11 02:59:24 - mmengine - INFO - Epoch(train) [69][2000/5005] lr: 1.0000e-03 eta: 7:45:31 time: 0.1701 data_time: 0.0026 loss: 1.0138 03/11 02:59:41 - mmengine - INFO - Epoch(train) [69][2100/5005] lr: 1.0000e-03 eta: 7:45:13 time: 0.1716 data_time: 0.0028 loss: 0.9726 03/11 02:59:59 - mmengine - INFO - Epoch(train) [69][2200/5005] lr: 1.0000e-03 eta: 7:44:56 time: 0.1735 data_time: 0.0026 loss: 0.9144 03/11 03:00:17 - mmengine - INFO - Epoch(train) [69][2300/5005] lr: 1.0000e-03 eta: 7:44:38 time: 0.1710 data_time: 0.0028 loss: 1.0131 03/11 03:00:34 - mmengine - INFO - Epoch(train) [69][2400/5005] lr: 1.0000e-03 eta: 7:44:20 time: 0.1698 data_time: 0.0026 loss: 0.9254 03/11 03:00:52 - mmengine - INFO - Epoch(train) [69][2500/5005] lr: 1.0000e-03 eta: 7:44:03 time: 0.1739 data_time: 0.0026 loss: 0.9390 03/11 03:01:09 - mmengine - INFO - Epoch(train) [69][2600/5005] lr: 1.0000e-03 eta: 7:43:45 time: 0.1726 data_time: 0.0028 loss: 0.9143 03/11 03:01:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:01:26 - mmengine - INFO - Epoch(train) [69][2700/5005] lr: 1.0000e-03 eta: 7:43:27 time: 0.1730 data_time: 0.0028 loss: 0.7864 03/11 03:01:44 - mmengine - INFO - Epoch(train) [69][2800/5005] lr: 1.0000e-03 eta: 7:43:09 time: 0.1696 data_time: 0.0025 loss: 0.8866 03/11 03:02:02 - mmengine - INFO - Epoch(train) [69][2900/5005] lr: 1.0000e-03 eta: 7:42:51 time: 0.1713 data_time: 0.0026 loss: 0.9491 03/11 03:02:19 - mmengine - INFO - Epoch(train) [69][3000/5005] lr: 1.0000e-03 eta: 7:42:34 time: 0.1708 data_time: 0.0026 loss: 0.9143 03/11 03:02:37 - mmengine - INFO - Epoch(train) [69][3100/5005] lr: 1.0000e-03 eta: 7:42:16 time: 0.1685 data_time: 0.0029 loss: 0.8978 03/11 03:02:54 - mmengine - INFO - Epoch(train) [69][3200/5005] lr: 1.0000e-03 eta: 7:41:58 time: 0.1704 data_time: 0.0027 loss: 0.9944 03/11 03:03:11 - mmengine - INFO - Epoch(train) [69][3300/5005] lr: 1.0000e-03 eta: 7:41:40 time: 0.1725 data_time: 0.0027 loss: 1.0390 03/11 03:03:29 - mmengine - INFO - Epoch(train) [69][3400/5005] lr: 1.0000e-03 eta: 7:41:22 time: 0.1815 data_time: 0.0025 loss: 0.9766 03/11 03:03:46 - mmengine - INFO - Epoch(train) [69][3500/5005] lr: 1.0000e-03 eta: 7:41:04 time: 0.1698 data_time: 0.0027 loss: 0.9036 03/11 03:04:04 - mmengine - INFO - Epoch(train) [69][3600/5005] lr: 1.0000e-03 eta: 7:40:47 time: 0.1711 data_time: 0.0028 loss: 1.1050 03/11 03:04:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:04:21 - mmengine - INFO - Epoch(train) [69][3700/5005] lr: 1.0000e-03 eta: 7:40:29 time: 0.1712 data_time: 0.0026 loss: 0.9212 03/11 03:04:39 - mmengine - INFO - Epoch(train) [69][3800/5005] lr: 1.0000e-03 eta: 7:40:11 time: 0.1697 data_time: 0.0029 loss: 0.9780 03/11 03:04:56 - mmengine - INFO - Epoch(train) [69][3900/5005] lr: 1.0000e-03 eta: 7:39:53 time: 0.1709 data_time: 0.0025 loss: 1.0052 03/11 03:05:13 - mmengine - INFO - Epoch(train) [69][4000/5005] lr: 1.0000e-03 eta: 7:39:35 time: 0.1722 data_time: 0.0025 loss: 1.0537 03/11 03:05:31 - mmengine - INFO - Epoch(train) [69][4100/5005] lr: 1.0000e-03 eta: 7:39:17 time: 0.1709 data_time: 0.0027 loss: 1.0299 03/11 03:05:48 - mmengine - INFO - Epoch(train) [69][4200/5005] lr: 1.0000e-03 eta: 7:39:00 time: 0.1730 data_time: 0.0025 loss: 0.9568 03/11 03:06:06 - mmengine - INFO - Epoch(train) [69][4300/5005] lr: 1.0000e-03 eta: 7:38:42 time: 0.1693 data_time: 0.0027 loss: 1.1070 03/11 03:06:23 - mmengine - INFO - Epoch(train) [69][4400/5005] lr: 1.0000e-03 eta: 7:38:24 time: 0.1714 data_time: 0.0027 loss: 1.1261 03/11 03:06:40 - mmengine - INFO - Epoch(train) [69][4500/5005] lr: 1.0000e-03 eta: 7:38:06 time: 0.1715 data_time: 0.0026 loss: 0.8589 03/11 03:06:58 - mmengine - INFO - Epoch(train) [69][4600/5005] lr: 1.0000e-03 eta: 7:37:48 time: 0.1704 data_time: 0.0027 loss: 1.0620 03/11 03:07:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:07:16 - mmengine - INFO - Epoch(train) [69][4700/5005] lr: 1.0000e-03 eta: 7:37:31 time: 0.2042 data_time: 0.0029 loss: 1.0029 03/11 03:07:33 - mmengine - INFO - Epoch(train) [69][4800/5005] lr: 1.0000e-03 eta: 7:37:13 time: 0.1723 data_time: 0.0028 loss: 0.7686 03/11 03:07:50 - mmengine - INFO - Epoch(train) [69][4900/5005] lr: 1.0000e-03 eta: 7:36:55 time: 0.1700 data_time: 0.0031 loss: 1.0584 03/11 03:08:08 - mmengine - INFO - Epoch(train) [69][5000/5005] lr: 1.0000e-03 eta: 7:36:37 time: 0.1910 data_time: 0.0027 loss: 1.0572 03/11 03:08:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:08:13 - mmengine - INFO - Saving checkpoint at 69 epochs 03/11 03:08:34 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:00:18 time: 0.0181 data_time: 0.0004 03/11 03:08:49 - mmengine - INFO - Epoch(val) [69][196/196] accuracy/top1: 76.2200 accuracy/top5: 93.1360 03/11 03:09:25 - mmengine - INFO - Epoch(train) [70][ 100/5005] lr: 1.0000e-03 eta: 7:36:27 time: 0.1737 data_time: 0.0032 loss: 1.0562 03/11 03:09:43 - mmengine - INFO - Epoch(train) [70][ 200/5005] lr: 1.0000e-03 eta: 7:36:09 time: 0.1862 data_time: 0.0025 loss: 0.9314 03/11 03:10:01 - mmengine - INFO - Epoch(train) [70][ 300/5005] lr: 1.0000e-03 eta: 7:35:51 time: 0.1716 data_time: 0.0032 loss: 0.9450 03/11 03:10:19 - mmengine - INFO - Epoch(train) [70][ 400/5005] lr: 1.0000e-03 eta: 7:35:34 time: 0.1746 data_time: 0.0029 loss: 0.8893 03/11 03:10:36 - mmengine - INFO - Epoch(train) [70][ 500/5005] lr: 1.0000e-03 eta: 7:35:16 time: 0.1695 data_time: 0.0025 loss: 0.8577 03/11 03:10:54 - mmengine - INFO - Epoch(train) [70][ 600/5005] lr: 1.0000e-03 eta: 7:34:58 time: 0.1724 data_time: 0.0026 loss: 0.9299 03/11 03:11:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:11:11 - mmengine - INFO - Epoch(train) [70][ 700/5005] lr: 1.0000e-03 eta: 7:34:41 time: 0.1742 data_time: 0.0027 loss: 0.9592 03/11 03:11:29 - mmengine - INFO - Epoch(train) [70][ 800/5005] lr: 1.0000e-03 eta: 7:34:23 time: 0.1719 data_time: 0.0028 loss: 0.8731 03/11 03:11:47 - mmengine - INFO - Epoch(train) [70][ 900/5005] lr: 1.0000e-03 eta: 7:34:05 time: 0.1698 data_time: 0.0026 loss: 1.0809 03/11 03:12:04 - mmengine - INFO - Epoch(train) [70][1000/5005] lr: 1.0000e-03 eta: 7:33:47 time: 0.1705 data_time: 0.0026 loss: 1.0153 03/11 03:12:21 - mmengine - INFO - Epoch(train) [70][1100/5005] lr: 1.0000e-03 eta: 7:33:29 time: 0.1735 data_time: 0.0026 loss: 1.1430 03/11 03:12:39 - mmengine - INFO - Epoch(train) [70][1200/5005] lr: 1.0000e-03 eta: 7:33:12 time: 0.1693 data_time: 0.0026 loss: 0.9186 03/11 03:12:57 - mmengine - INFO - Epoch(train) [70][1300/5005] lr: 1.0000e-03 eta: 7:32:54 time: 0.1738 data_time: 0.0026 loss: 0.9570 03/11 03:13:14 - mmengine - INFO - Epoch(train) [70][1400/5005] lr: 1.0000e-03 eta: 7:32:36 time: 0.1721 data_time: 0.0026 loss: 0.9590 03/11 03:13:32 - mmengine - INFO - Epoch(train) [70][1500/5005] lr: 1.0000e-03 eta: 7:32:18 time: 0.1723 data_time: 0.0027 loss: 1.0404 03/11 03:13:49 - mmengine - INFO - Epoch(train) [70][1600/5005] lr: 1.0000e-03 eta: 7:32:00 time: 0.1690 data_time: 0.0033 loss: 1.1583 03/11 03:13:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:14:07 - mmengine - INFO - Epoch(train) [70][1700/5005] lr: 1.0000e-03 eta: 7:31:43 time: 0.1720 data_time: 0.0028 loss: 1.0014 03/11 03:14:24 - mmengine - INFO - Epoch(train) [70][1800/5005] lr: 1.0000e-03 eta: 7:31:25 time: 0.1708 data_time: 0.0027 loss: 1.1163 03/11 03:14:42 - mmengine - INFO - Epoch(train) [70][1900/5005] lr: 1.0000e-03 eta: 7:31:07 time: 0.1883 data_time: 0.0026 loss: 1.0888 03/11 03:15:00 - mmengine - INFO - Epoch(train) [70][2000/5005] lr: 1.0000e-03 eta: 7:30:50 time: 0.1912 data_time: 0.0027 loss: 0.9786 03/11 03:15:17 - mmengine - INFO - Epoch(train) [70][2100/5005] lr: 1.0000e-03 eta: 7:30:32 time: 0.1695 data_time: 0.0027 loss: 1.1873 03/11 03:15:35 - mmengine - INFO - Epoch(train) [70][2200/5005] lr: 1.0000e-03 eta: 7:30:14 time: 0.1717 data_time: 0.0028 loss: 1.0914 03/11 03:15:52 - mmengine - INFO - Epoch(train) [70][2300/5005] lr: 1.0000e-03 eta: 7:29:56 time: 0.1704 data_time: 0.0027 loss: 1.0451 03/11 03:16:10 - mmengine - INFO - Epoch(train) [70][2400/5005] lr: 1.0000e-03 eta: 7:29:39 time: 0.1735 data_time: 0.0029 loss: 0.9602 03/11 03:16:28 - mmengine - INFO - Epoch(train) [70][2500/5005] lr: 1.0000e-03 eta: 7:29:21 time: 0.1724 data_time: 0.0028 loss: 1.2241 03/11 03:16:45 - mmengine - INFO - Epoch(train) [70][2600/5005] lr: 1.0000e-03 eta: 7:29:03 time: 0.1692 data_time: 0.0029 loss: 1.0327 03/11 03:16:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:17:03 - mmengine - INFO - Epoch(train) [70][2700/5005] lr: 1.0000e-03 eta: 7:28:45 time: 0.1902 data_time: 0.0027 loss: 0.8058 03/11 03:17:20 - mmengine - INFO - Epoch(train) [70][2800/5005] lr: 1.0000e-03 eta: 7:28:27 time: 0.1707 data_time: 0.0027 loss: 0.9486 03/11 03:17:38 - mmengine - INFO - Epoch(train) [70][2900/5005] lr: 1.0000e-03 eta: 7:28:10 time: 0.1720 data_time: 0.0028 loss: 1.1124 03/11 03:17:55 - mmengine - INFO - Epoch(train) [70][3000/5005] lr: 1.0000e-03 eta: 7:27:52 time: 0.1700 data_time: 0.0025 loss: 0.8068 03/11 03:18:13 - mmengine - INFO - Epoch(train) [70][3100/5005] lr: 1.0000e-03 eta: 7:27:34 time: 0.1704 data_time: 0.0027 loss: 1.0224 03/11 03:18:30 - mmengine - INFO - Epoch(train) [70][3200/5005] lr: 1.0000e-03 eta: 7:27:16 time: 0.1730 data_time: 0.0028 loss: 1.1313 03/11 03:18:48 - mmengine - INFO - Epoch(train) [70][3300/5005] lr: 1.0000e-03 eta: 7:26:58 time: 0.1719 data_time: 0.0026 loss: 0.9674 03/11 03:19:05 - mmengine - INFO - Epoch(train) [70][3400/5005] lr: 1.0000e-03 eta: 7:26:41 time: 0.1703 data_time: 0.0028 loss: 0.7691 03/11 03:19:23 - mmengine - INFO - Epoch(train) [70][3500/5005] lr: 1.0000e-03 eta: 7:26:23 time: 0.1699 data_time: 0.0027 loss: 1.0348 03/11 03:19:40 - mmengine - INFO - Epoch(train) [70][3600/5005] lr: 1.0000e-03 eta: 7:26:05 time: 0.1751 data_time: 0.0025 loss: 0.8724 03/11 03:19:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:19:58 - mmengine - INFO - Epoch(train) [70][3700/5005] lr: 1.0000e-03 eta: 7:25:47 time: 0.1708 data_time: 0.0027 loss: 1.1539 03/11 03:20:15 - mmengine - INFO - Epoch(train) [70][3800/5005] lr: 1.0000e-03 eta: 7:25:30 time: 0.1731 data_time: 0.0029 loss: 0.9763 03/11 03:20:33 - mmengine - INFO - Epoch(train) [70][3900/5005] lr: 1.0000e-03 eta: 7:25:12 time: 0.1722 data_time: 0.0029 loss: 1.0385 03/11 03:20:50 - mmengine - INFO - Epoch(train) [70][4000/5005] lr: 1.0000e-03 eta: 7:24:54 time: 0.1875 data_time: 0.0027 loss: 0.8545 03/11 03:21:08 - mmengine - INFO - Epoch(train) [70][4100/5005] lr: 1.0000e-03 eta: 7:24:36 time: 0.1682 data_time: 0.0028 loss: 1.0997 03/11 03:21:26 - mmengine - INFO - Epoch(train) [70][4200/5005] lr: 1.0000e-03 eta: 7:24:19 time: 0.1718 data_time: 0.0026 loss: 1.1051 03/11 03:21:43 - mmengine - INFO - Epoch(train) [70][4300/5005] lr: 1.0000e-03 eta: 7:24:01 time: 0.1889 data_time: 0.0026 loss: 1.0836 03/11 03:22:00 - mmengine - INFO - Epoch(train) [70][4400/5005] lr: 1.0000e-03 eta: 7:23:43 time: 0.1698 data_time: 0.0031 loss: 1.0082 03/11 03:22:18 - mmengine - INFO - Epoch(train) [70][4500/5005] lr: 1.0000e-03 eta: 7:23:25 time: 0.1739 data_time: 0.0027 loss: 0.9786 03/11 03:22:35 - mmengine - INFO - Epoch(train) [70][4600/5005] lr: 1.0000e-03 eta: 7:23:07 time: 0.1721 data_time: 0.0028 loss: 1.0910 03/11 03:22:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:22:53 - mmengine - INFO - Epoch(train) [70][4700/5005] lr: 1.0000e-03 eta: 7:22:50 time: 0.1725 data_time: 0.0025 loss: 0.9003 03/11 03:23:10 - mmengine - INFO - Epoch(train) [70][4800/5005] lr: 1.0000e-03 eta: 7:22:32 time: 0.1701 data_time: 0.0026 loss: 0.8739 03/11 03:23:28 - mmengine - INFO - Epoch(train) [70][4900/5005] lr: 1.0000e-03 eta: 7:22:14 time: 0.1700 data_time: 0.0024 loss: 1.0340 03/11 03:23:45 - mmengine - INFO - Epoch(train) [70][5000/5005] lr: 1.0000e-03 eta: 7:21:56 time: 0.1703 data_time: 0.0024 loss: 1.0135 03/11 03:23:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:23:50 - mmengine - INFO - Saving checkpoint at 70 epochs 03/11 03:24:11 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:00:18 time: 0.0170 data_time: 0.0005 03/11 03:24:25 - mmengine - INFO - Epoch(val) [70][196/196] accuracy/top1: 76.2720 accuracy/top5: 93.1980 03/11 03:25:03 - mmengine - INFO - Epoch(train) [71][ 100/5005] lr: 1.0000e-03 eta: 7:21:46 time: 0.1913 data_time: 0.0026 loss: 0.9190 03/11 03:25:20 - mmengine - INFO - Epoch(train) [71][ 200/5005] lr: 1.0000e-03 eta: 7:21:28 time: 0.1732 data_time: 0.0030 loss: 1.0343 03/11 03:25:38 - mmengine - INFO - Epoch(train) [71][ 300/5005] lr: 1.0000e-03 eta: 7:21:10 time: 0.1722 data_time: 0.0028 loss: 0.8661 03/11 03:25:56 - mmengine - INFO - Epoch(train) [71][ 400/5005] lr: 1.0000e-03 eta: 7:20:53 time: 0.1726 data_time: 0.0031 loss: 0.9627 03/11 03:26:14 - mmengine - INFO - Epoch(train) [71][ 500/5005] lr: 1.0000e-03 eta: 7:20:35 time: 0.1747 data_time: 0.0029 loss: 0.9863 03/11 03:26:31 - mmengine - INFO - Epoch(train) [71][ 600/5005] lr: 1.0000e-03 eta: 7:20:17 time: 0.1744 data_time: 0.0034 loss: 0.9544 03/11 03:26:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:26:49 - mmengine - INFO - Epoch(train) [71][ 700/5005] lr: 1.0000e-03 eta: 7:19:59 time: 0.1719 data_time: 0.0027 loss: 1.0593 03/11 03:27:07 - mmengine - INFO - Epoch(train) [71][ 800/5005] lr: 1.0000e-03 eta: 7:19:42 time: 0.1712 data_time: 0.0026 loss: 0.9636 03/11 03:27:25 - mmengine - INFO - Epoch(train) [71][ 900/5005] lr: 1.0000e-03 eta: 7:19:24 time: 0.1733 data_time: 0.0027 loss: 0.9112 03/11 03:27:43 - mmengine - INFO - Epoch(train) [71][1000/5005] lr: 1.0000e-03 eta: 7:19:07 time: 0.1746 data_time: 0.0028 loss: 1.0501 03/11 03:28:00 - mmengine - INFO - Epoch(train) [71][1100/5005] lr: 1.0000e-03 eta: 7:18:49 time: 0.1722 data_time: 0.0034 loss: 0.9449 03/11 03:28:17 - mmengine - INFO - Epoch(train) [71][1200/5005] lr: 1.0000e-03 eta: 7:18:31 time: 0.1724 data_time: 0.0027 loss: 0.8701 03/11 03:28:34 - mmengine - INFO - Epoch(train) [71][1300/5005] lr: 1.0000e-03 eta: 7:18:13 time: 0.1703 data_time: 0.0028 loss: 0.9447 03/11 03:28:52 - mmengine - INFO - Epoch(train) [71][1400/5005] lr: 1.0000e-03 eta: 7:17:55 time: 0.1721 data_time: 0.0028 loss: 0.8421 03/11 03:29:10 - mmengine - INFO - Epoch(train) [71][1500/5005] lr: 1.0000e-03 eta: 7:17:37 time: 0.1702 data_time: 0.0026 loss: 1.1163 03/11 03:29:28 - mmengine - INFO - Epoch(train) [71][1600/5005] lr: 1.0000e-03 eta: 7:17:20 time: 0.1681 data_time: 0.0026 loss: 0.9893 03/11 03:29:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:29:45 - mmengine - INFO - Epoch(train) [71][1700/5005] lr: 1.0000e-03 eta: 7:17:02 time: 0.1706 data_time: 0.0026 loss: 0.9977 03/11 03:30:02 - mmengine - INFO - Epoch(train) [71][1800/5005] lr: 1.0000e-03 eta: 7:16:44 time: 0.1704 data_time: 0.0031 loss: 1.1621 03/11 03:30:19 - mmengine - INFO - Epoch(train) [71][1900/5005] lr: 1.0000e-03 eta: 7:16:26 time: 0.1727 data_time: 0.0028 loss: 0.9331 03/11 03:30:37 - mmengine - INFO - Epoch(train) [71][2000/5005] lr: 1.0000e-03 eta: 7:16:08 time: 0.1819 data_time: 0.0026 loss: 1.0104 03/11 03:30:54 - mmengine - INFO - Epoch(train) [71][2100/5005] lr: 1.0000e-03 eta: 7:15:51 time: 0.1676 data_time: 0.0029 loss: 1.0881 03/11 03:31:12 - mmengine - INFO - Epoch(train) [71][2200/5005] lr: 1.0000e-03 eta: 7:15:33 time: 0.1900 data_time: 0.0028 loss: 0.9659 03/11 03:31:29 - mmengine - INFO - Epoch(train) [71][2300/5005] lr: 1.0000e-03 eta: 7:15:15 time: 0.1690 data_time: 0.0030 loss: 1.1117 03/11 03:31:47 - mmengine - INFO - Epoch(train) [71][2400/5005] lr: 1.0000e-03 eta: 7:14:57 time: 0.1708 data_time: 0.0026 loss: 1.0541 03/11 03:32:04 - mmengine - INFO - Epoch(train) [71][2500/5005] lr: 1.0000e-03 eta: 7:14:39 time: 0.1699 data_time: 0.0026 loss: 1.0596 03/11 03:32:21 - mmengine - INFO - Epoch(train) [71][2600/5005] lr: 1.0000e-03 eta: 7:14:21 time: 0.1708 data_time: 0.0025 loss: 0.8801 03/11 03:32:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:32:39 - mmengine - INFO - Epoch(train) [71][2700/5005] lr: 1.0000e-03 eta: 7:14:04 time: 0.1712 data_time: 0.0026 loss: 0.9755 03/11 03:32:57 - mmengine - INFO - Epoch(train) [71][2800/5005] lr: 1.0000e-03 eta: 7:13:46 time: 0.1865 data_time: 0.0027 loss: 1.0119 03/11 03:33:14 - mmengine - INFO - Epoch(train) [71][2900/5005] lr: 1.0000e-03 eta: 7:13:28 time: 0.1969 data_time: 0.0027 loss: 0.9211 03/11 03:33:32 - mmengine - INFO - Epoch(train) [71][3000/5005] lr: 1.0000e-03 eta: 7:13:10 time: 0.1705 data_time: 0.0026 loss: 1.0366 03/11 03:33:49 - mmengine - INFO - Epoch(train) [71][3100/5005] lr: 1.0000e-03 eta: 7:12:52 time: 0.1838 data_time: 0.0026 loss: 1.0618 03/11 03:34:06 - mmengine - INFO - Epoch(train) [71][3200/5005] lr: 1.0000e-03 eta: 7:12:35 time: 0.1724 data_time: 0.0027 loss: 1.2021 03/11 03:34:24 - mmengine - INFO - Epoch(train) [71][3300/5005] lr: 1.0000e-03 eta: 7:12:17 time: 0.1766 data_time: 0.0028 loss: 0.9585 03/11 03:34:42 - mmengine - INFO - Epoch(train) [71][3400/5005] lr: 1.0000e-03 eta: 7:11:59 time: 0.1700 data_time: 0.0026 loss: 0.9716 03/11 03:34:59 - mmengine - INFO - Epoch(train) [71][3500/5005] lr: 1.0000e-03 eta: 7:11:41 time: 0.1723 data_time: 0.0027 loss: 0.9721 03/11 03:35:17 - mmengine - INFO - Epoch(train) [71][3600/5005] lr: 1.0000e-03 eta: 7:11:24 time: 0.1716 data_time: 0.0027 loss: 0.9856 03/11 03:35:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:35:34 - mmengine - INFO - Epoch(train) [71][3700/5005] lr: 1.0000e-03 eta: 7:11:06 time: 0.1717 data_time: 0.0027 loss: 0.9595 03/11 03:35:51 - mmengine - INFO - Epoch(train) [71][3800/5005] lr: 1.0000e-03 eta: 7:10:48 time: 0.1703 data_time: 0.0028 loss: 1.0777 03/11 03:36:09 - mmengine - INFO - Epoch(train) [71][3900/5005] lr: 1.0000e-03 eta: 7:10:30 time: 0.1696 data_time: 0.0026 loss: 0.8778 03/11 03:36:26 - mmengine - INFO - Epoch(train) [71][4000/5005] lr: 1.0000e-03 eta: 7:10:12 time: 0.1722 data_time: 0.0027 loss: 1.0403 03/11 03:36:44 - mmengine - INFO - Epoch(train) [71][4100/5005] lr: 1.0000e-03 eta: 7:09:55 time: 0.1720 data_time: 0.0027 loss: 1.0735 03/11 03:37:01 - mmengine - INFO - Epoch(train) [71][4200/5005] lr: 1.0000e-03 eta: 7:09:37 time: 0.1727 data_time: 0.0027 loss: 1.0377 03/11 03:37:19 - mmengine - INFO - Epoch(train) [71][4300/5005] lr: 1.0000e-03 eta: 7:09:19 time: 0.1725 data_time: 0.0027 loss: 1.0631 03/11 03:37:36 - mmengine - INFO - Epoch(train) [71][4400/5005] lr: 1.0000e-03 eta: 7:09:01 time: 0.1723 data_time: 0.0026 loss: 1.0619 03/11 03:37:54 - mmengine - INFO - Epoch(train) [71][4500/5005] lr: 1.0000e-03 eta: 7:08:43 time: 0.1747 data_time: 0.0026 loss: 0.8750 03/11 03:38:11 - mmengine - INFO - Epoch(train) [71][4600/5005] lr: 1.0000e-03 eta: 7:08:26 time: 0.1728 data_time: 0.0027 loss: 1.0510 03/11 03:38:20 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:38:29 - mmengine - INFO - Epoch(train) [71][4700/5005] lr: 1.0000e-03 eta: 7:08:08 time: 0.1706 data_time: 0.0027 loss: 0.9966 03/11 03:38:46 - mmengine - INFO - Epoch(train) [71][4800/5005] lr: 1.0000e-03 eta: 7:07:50 time: 0.1710 data_time: 0.0026 loss: 1.0575 03/11 03:39:03 - mmengine - INFO - Epoch(train) [71][4900/5005] lr: 1.0000e-03 eta: 7:07:32 time: 0.1693 data_time: 0.0025 loss: 1.1473 03/11 03:39:20 - mmengine - INFO - Epoch(train) [71][5000/5005] lr: 1.0000e-03 eta: 7:07:14 time: 0.1690 data_time: 0.0028 loss: 1.0094 03/11 03:39:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:39:26 - mmengine - INFO - Saving checkpoint at 71 epochs 03/11 03:39:46 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:00:18 time: 0.0176 data_time: 0.0004 03/11 03:40:01 - mmengine - INFO - Epoch(val) [71][196/196] accuracy/top1: 76.4160 accuracy/top5: 93.1480 03/11 03:40:37 - mmengine - INFO - Epoch(train) [72][ 100/5005] lr: 1.0000e-03 eta: 7:07:03 time: 0.1703 data_time: 0.0034 loss: 1.2258 03/11 03:40:55 - mmengine - INFO - Epoch(train) [72][ 200/5005] lr: 1.0000e-03 eta: 7:06:45 time: 0.1710 data_time: 0.0032 loss: 0.8890 03/11 03:41:13 - mmengine - INFO - Epoch(train) [72][ 300/5005] lr: 1.0000e-03 eta: 7:06:28 time: 0.2068 data_time: 0.0036 loss: 1.0498 03/11 03:41:31 - mmengine - INFO - Epoch(train) [72][ 400/5005] lr: 1.0000e-03 eta: 7:06:10 time: 0.1713 data_time: 0.0034 loss: 0.9222 03/11 03:41:49 - mmengine - INFO - Epoch(train) [72][ 500/5005] lr: 1.0000e-03 eta: 7:05:53 time: 0.1727 data_time: 0.0029 loss: 0.9342 03/11 03:42:06 - mmengine - INFO - Epoch(train) [72][ 600/5005] lr: 1.0000e-03 eta: 7:05:35 time: 0.1716 data_time: 0.0027 loss: 1.0132 03/11 03:42:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:42:24 - mmengine - INFO - Epoch(train) [72][ 700/5005] lr: 1.0000e-03 eta: 7:05:17 time: 0.1717 data_time: 0.0027 loss: 0.9043 03/11 03:42:41 - mmengine - INFO - Epoch(train) [72][ 800/5005] lr: 1.0000e-03 eta: 7:04:59 time: 0.1709 data_time: 0.0028 loss: 1.0286 03/11 03:42:59 - mmengine - INFO - Epoch(train) [72][ 900/5005] lr: 1.0000e-03 eta: 7:04:41 time: 0.1685 data_time: 0.0029 loss: 0.9088 03/11 03:43:17 - mmengine - INFO - Epoch(train) [72][1000/5005] lr: 1.0000e-03 eta: 7:04:24 time: 0.1721 data_time: 0.0026 loss: 1.0066 03/11 03:43:35 - mmengine - INFO - Epoch(train) [72][1100/5005] lr: 1.0000e-03 eta: 7:04:06 time: 0.2191 data_time: 0.0027 loss: 0.9929 03/11 03:43:52 - mmengine - INFO - Epoch(train) [72][1200/5005] lr: 1.0000e-03 eta: 7:03:48 time: 0.1711 data_time: 0.0029 loss: 0.9707 03/11 03:44:09 - mmengine - INFO - Epoch(train) [72][1300/5005] lr: 1.0000e-03 eta: 7:03:30 time: 0.1710 data_time: 0.0027 loss: 0.9291 03/11 03:44:26 - mmengine - INFO - Epoch(train) [72][1400/5005] lr: 1.0000e-03 eta: 7:03:12 time: 0.1705 data_time: 0.0031 loss: 1.0116 03/11 03:44:45 - mmengine - INFO - Epoch(train) [72][1500/5005] lr: 1.0000e-03 eta: 7:02:55 time: 0.1941 data_time: 0.0028 loss: 1.0869 03/11 03:45:03 - mmengine - INFO - Epoch(train) [72][1600/5005] lr: 1.0000e-03 eta: 7:02:38 time: 0.1701 data_time: 0.0027 loss: 0.7969 03/11 03:45:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:45:21 - mmengine - INFO - Epoch(train) [72][1700/5005] lr: 1.0000e-03 eta: 7:02:20 time: 0.1719 data_time: 0.0027 loss: 0.9533 03/11 03:45:38 - mmengine - INFO - Epoch(train) [72][1800/5005] lr: 1.0000e-03 eta: 7:02:02 time: 0.1733 data_time: 0.0027 loss: 0.9354 03/11 03:45:56 - mmengine - INFO - Epoch(train) [72][1900/5005] lr: 1.0000e-03 eta: 7:01:44 time: 0.1726 data_time: 0.0028 loss: 0.9357 03/11 03:46:13 - mmengine - INFO - Epoch(train) [72][2000/5005] lr: 1.0000e-03 eta: 7:01:26 time: 0.1733 data_time: 0.0028 loss: 0.9249 03/11 03:46:31 - mmengine - INFO - Epoch(train) [72][2100/5005] lr: 1.0000e-03 eta: 7:01:09 time: 0.1923 data_time: 0.0026 loss: 0.9797 03/11 03:46:48 - mmengine - INFO - Epoch(train) [72][2200/5005] lr: 1.0000e-03 eta: 7:00:51 time: 0.1739 data_time: 0.0028 loss: 1.0502 03/11 03:47:06 - mmengine - INFO - Epoch(train) [72][2300/5005] lr: 1.0000e-03 eta: 7:00:33 time: 0.1717 data_time: 0.0030 loss: 0.9124 03/11 03:47:23 - mmengine - INFO - Epoch(train) [72][2400/5005] lr: 1.0000e-03 eta: 7:00:15 time: 0.1693 data_time: 0.0029 loss: 1.1048 03/11 03:47:41 - mmengine - INFO - Epoch(train) [72][2500/5005] lr: 1.0000e-03 eta: 6:59:58 time: 0.1698 data_time: 0.0027 loss: 0.8907 03/11 03:47:58 - mmengine - INFO - Epoch(train) [72][2600/5005] lr: 1.0000e-03 eta: 6:59:40 time: 0.1729 data_time: 0.0029 loss: 1.1573 03/11 03:48:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:48:16 - mmengine - INFO - Epoch(train) [72][2700/5005] lr: 1.0000e-03 eta: 6:59:22 time: 0.1718 data_time: 0.0030 loss: 0.8727 03/11 03:48:34 - mmengine - INFO - Epoch(train) [72][2800/5005] lr: 1.0000e-03 eta: 6:59:04 time: 0.1710 data_time: 0.0029 loss: 0.9936 03/11 03:48:51 - mmengine - INFO - Epoch(train) [72][2900/5005] lr: 1.0000e-03 eta: 6:58:47 time: 0.1714 data_time: 0.0026 loss: 1.1234 03/11 03:49:08 - mmengine - INFO - Epoch(train) [72][3000/5005] lr: 1.0000e-03 eta: 6:58:29 time: 0.1700 data_time: 0.0030 loss: 0.8768 03/11 03:49:26 - mmengine - INFO - Epoch(train) [72][3100/5005] lr: 1.0000e-03 eta: 6:58:11 time: 0.1739 data_time: 0.0027 loss: 1.0029 03/11 03:49:44 - mmengine - INFO - Epoch(train) [72][3200/5005] lr: 1.0000e-03 eta: 6:57:53 time: 0.1707 data_time: 0.0029 loss: 1.0067 03/11 03:50:01 - mmengine - INFO - Epoch(train) [72][3300/5005] lr: 1.0000e-03 eta: 6:57:35 time: 0.1719 data_time: 0.0027 loss: 1.0032 03/11 03:50:19 - mmengine - INFO - Epoch(train) [72][3400/5005] lr: 1.0000e-03 eta: 6:57:18 time: 0.1712 data_time: 0.0027 loss: 1.0846 03/11 03:50:36 - mmengine - INFO - Epoch(train) [72][3500/5005] lr: 1.0000e-03 eta: 6:57:00 time: 0.1727 data_time: 0.0026 loss: 1.0036 03/11 03:50:53 - mmengine - INFO - Epoch(train) [72][3600/5005] lr: 1.0000e-03 eta: 6:56:42 time: 0.1710 data_time: 0.0028 loss: 1.1251 03/11 03:51:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:51:11 - mmengine - INFO - Epoch(train) [72][3700/5005] lr: 1.0000e-03 eta: 6:56:24 time: 0.1704 data_time: 0.0028 loss: 0.9483 03/11 03:51:29 - mmengine - INFO - Epoch(train) [72][3800/5005] lr: 1.0000e-03 eta: 6:56:06 time: 0.1713 data_time: 0.0030 loss: 1.0050 03/11 03:51:46 - mmengine - INFO - Epoch(train) [72][3900/5005] lr: 1.0000e-03 eta: 6:55:49 time: 0.1707 data_time: 0.0028 loss: 0.8654 03/11 03:52:04 - mmengine - INFO - Epoch(train) [72][4000/5005] lr: 1.0000e-03 eta: 6:55:31 time: 0.1698 data_time: 0.0029 loss: 0.9906 03/11 03:52:21 - mmengine - INFO - Epoch(train) [72][4100/5005] lr: 1.0000e-03 eta: 6:55:13 time: 0.1708 data_time: 0.0029 loss: 1.2164 03/11 03:52:39 - mmengine - INFO - Epoch(train) [72][4200/5005] lr: 1.0000e-03 eta: 6:54:55 time: 0.1715 data_time: 0.0028 loss: 0.9986 03/11 03:52:56 - mmengine - INFO - Epoch(train) [72][4300/5005] lr: 1.0000e-03 eta: 6:54:37 time: 0.1703 data_time: 0.0028 loss: 0.8395 03/11 03:53:14 - mmengine - INFO - Epoch(train) [72][4400/5005] lr: 1.0000e-03 eta: 6:54:20 time: 0.1886 data_time: 0.0027 loss: 1.0651 03/11 03:53:31 - mmengine - INFO - Epoch(train) [72][4500/5005] lr: 1.0000e-03 eta: 6:54:02 time: 0.1722 data_time: 0.0026 loss: 0.9125 03/11 03:53:49 - mmengine - INFO - Epoch(train) [72][4600/5005] lr: 1.0000e-03 eta: 6:53:44 time: 0.1716 data_time: 0.0026 loss: 1.1119 03/11 03:53:57 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:54:06 - mmengine - INFO - Epoch(train) [72][4700/5005] lr: 1.0000e-03 eta: 6:53:26 time: 0.1703 data_time: 0.0027 loss: 1.0121 03/11 03:54:23 - mmengine - INFO - Epoch(train) [72][4800/5005] lr: 1.0000e-03 eta: 6:53:08 time: 0.1707 data_time: 0.0027 loss: 0.9974 03/11 03:54:41 - mmengine - INFO - Epoch(train) [72][4900/5005] lr: 1.0000e-03 eta: 6:52:51 time: 0.1759 data_time: 0.0032 loss: 1.0206 03/11 03:54:59 - mmengine - INFO - Epoch(train) [72][5000/5005] lr: 1.0000e-03 eta: 6:52:33 time: 0.1756 data_time: 0.0031 loss: 0.9161 03/11 03:55:00 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:55:04 - mmengine - INFO - Saving checkpoint at 72 epochs 03/11 03:55:26 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:00:19 time: 0.0192 data_time: 0.0005 03/11 03:55:40 - mmengine - INFO - Epoch(val) [72][196/196] accuracy/top1: 76.4680 accuracy/top5: 93.2000 03/11 03:56:18 - mmengine - INFO - Epoch(train) [73][ 100/5005] lr: 1.0000e-03 eta: 6:52:22 time: 0.1738 data_time: 0.0048 loss: 1.1035 03/11 03:56:35 - mmengine - INFO - Epoch(train) [73][ 200/5005] lr: 1.0000e-03 eta: 6:52:04 time: 0.1748 data_time: 0.0036 loss: 0.7812 03/11 03:56:54 - mmengine - INFO - Epoch(train) [73][ 300/5005] lr: 1.0000e-03 eta: 6:51:47 time: 0.1726 data_time: 0.0028 loss: 1.0413 03/11 03:57:11 - mmengine - INFO - Epoch(train) [73][ 400/5005] lr: 1.0000e-03 eta: 6:51:29 time: 0.1915 data_time: 0.0028 loss: 1.0616 03/11 03:57:29 - mmengine - INFO - Epoch(train) [73][ 500/5005] lr: 1.0000e-03 eta: 6:51:11 time: 0.1720 data_time: 0.0026 loss: 1.0496 03/11 03:57:46 - mmengine - INFO - Epoch(train) [73][ 600/5005] lr: 1.0000e-03 eta: 6:50:53 time: 0.1710 data_time: 0.0026 loss: 0.8553 03/11 03:57:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 03:58:04 - mmengine - INFO - Epoch(train) [73][ 700/5005] lr: 1.0000e-03 eta: 6:50:36 time: 0.1727 data_time: 0.0029 loss: 1.1020 03/11 03:58:22 - mmengine - INFO - Epoch(train) [73][ 800/5005] lr: 1.0000e-03 eta: 6:50:18 time: 0.1705 data_time: 0.0027 loss: 0.8334 03/11 03:58:39 - mmengine - INFO - Epoch(train) [73][ 900/5005] lr: 1.0000e-03 eta: 6:50:00 time: 0.1721 data_time: 0.0026 loss: 0.8690 03/11 03:58:57 - mmengine - INFO - Epoch(train) [73][1000/5005] lr: 1.0000e-03 eta: 6:49:43 time: 0.1728 data_time: 0.0028 loss: 1.0636 03/11 03:59:15 - mmengine - INFO - Epoch(train) [73][1100/5005] lr: 1.0000e-03 eta: 6:49:25 time: 0.1712 data_time: 0.0025 loss: 0.9069 03/11 03:59:33 - mmengine - INFO - Epoch(train) [73][1200/5005] lr: 1.0000e-03 eta: 6:49:07 time: 0.1685 data_time: 0.0026 loss: 0.9832 03/11 03:59:50 - mmengine - INFO - Epoch(train) [73][1300/5005] lr: 1.0000e-03 eta: 6:48:50 time: 0.1901 data_time: 0.0032 loss: 0.9077 03/11 04:00:08 - mmengine - INFO - Epoch(train) [73][1400/5005] lr: 1.0000e-03 eta: 6:48:32 time: 0.1711 data_time: 0.0027 loss: 1.1923 03/11 04:00:26 - mmengine - INFO - Epoch(train) [73][1500/5005] lr: 1.0000e-03 eta: 6:48:14 time: 0.1715 data_time: 0.0029 loss: 0.9270 03/11 04:00:43 - mmengine - INFO - Epoch(train) [73][1600/5005] lr: 1.0000e-03 eta: 6:47:56 time: 0.1712 data_time: 0.0027 loss: 0.8705 03/11 04:00:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:01:01 - mmengine - INFO - Epoch(train) [73][1700/5005] lr: 1.0000e-03 eta: 6:47:38 time: 0.1693 data_time: 0.0027 loss: 0.9072 03/11 04:01:18 - mmengine - INFO - Epoch(train) [73][1800/5005] lr: 1.0000e-03 eta: 6:47:21 time: 0.1697 data_time: 0.0028 loss: 0.9348 03/11 04:01:35 - mmengine - INFO - Epoch(train) [73][1900/5005] lr: 1.0000e-03 eta: 6:47:03 time: 0.1725 data_time: 0.0028 loss: 0.8427 03/11 04:01:53 - mmengine - INFO - Epoch(train) [73][2000/5005] lr: 1.0000e-03 eta: 6:46:45 time: 0.1695 data_time: 0.0027 loss: 1.0887 03/11 04:02:11 - mmengine - INFO - Epoch(train) [73][2100/5005] lr: 1.0000e-03 eta: 6:46:27 time: 0.1713 data_time: 0.0030 loss: 0.9714 03/11 04:02:28 - mmengine - INFO - Epoch(train) [73][2200/5005] lr: 1.0000e-03 eta: 6:46:10 time: 0.1719 data_time: 0.0026 loss: 1.0064 03/11 04:02:46 - mmengine - INFO - Epoch(train) [73][2300/5005] lr: 1.0000e-03 eta: 6:45:52 time: 0.1716 data_time: 0.0027 loss: 0.9958 03/11 04:03:03 - mmengine - INFO - Epoch(train) [73][2400/5005] lr: 1.0000e-03 eta: 6:45:34 time: 0.1721 data_time: 0.0028 loss: 0.7769 03/11 04:03:20 - mmengine - INFO - Epoch(train) [73][2500/5005] lr: 1.0000e-03 eta: 6:45:16 time: 0.1722 data_time: 0.0027 loss: 0.8669 03/11 04:03:38 - mmengine - INFO - Epoch(train) [73][2600/5005] lr: 1.0000e-03 eta: 6:44:58 time: 0.1727 data_time: 0.0028 loss: 1.0067 03/11 04:03:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:03:56 - mmengine - INFO - Epoch(train) [73][2700/5005] lr: 1.0000e-03 eta: 6:44:41 time: 0.1722 data_time: 0.0029 loss: 0.8827 03/11 04:04:13 - mmengine - INFO - Epoch(train) [73][2800/5005] lr: 1.0000e-03 eta: 6:44:23 time: 0.1730 data_time: 0.0027 loss: 1.0478 03/11 04:04:31 - mmengine - INFO - Epoch(train) [73][2900/5005] lr: 1.0000e-03 eta: 6:44:05 time: 0.1711 data_time: 0.0029 loss: 1.0324 03/11 04:04:48 - mmengine - INFO - Epoch(train) [73][3000/5005] lr: 1.0000e-03 eta: 6:43:47 time: 0.1715 data_time: 0.0030 loss: 0.9853 03/11 04:05:06 - mmengine - INFO - Epoch(train) [73][3100/5005] lr: 1.0000e-03 eta: 6:43:30 time: 0.1701 data_time: 0.0027 loss: 0.8906 03/11 04:05:23 - mmengine - INFO - Epoch(train) [73][3200/5005] lr: 1.0000e-03 eta: 6:43:12 time: 0.1875 data_time: 0.0027 loss: 1.1302 03/11 04:05:41 - mmengine - INFO - Epoch(train) [73][3300/5005] lr: 1.0000e-03 eta: 6:42:54 time: 0.1698 data_time: 0.0028 loss: 0.8925 03/11 04:05:59 - mmengine - INFO - Epoch(train) [73][3400/5005] lr: 1.0000e-03 eta: 6:42:36 time: 0.1831 data_time: 0.0029 loss: 0.9732 03/11 04:06:16 - mmengine - INFO - Epoch(train) [73][3500/5005] lr: 1.0000e-03 eta: 6:42:19 time: 0.1720 data_time: 0.0034 loss: 0.9834 03/11 04:06:34 - mmengine - INFO - Epoch(train) [73][3600/5005] lr: 1.0000e-03 eta: 6:42:01 time: 0.1720 data_time: 0.0028 loss: 0.8654 03/11 04:06:41 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:06:51 - mmengine - INFO - Epoch(train) [73][3700/5005] lr: 1.0000e-03 eta: 6:41:43 time: 0.1713 data_time: 0.0029 loss: 1.1105 03/11 04:07:09 - mmengine - INFO - Epoch(train) [73][3800/5005] lr: 1.0000e-03 eta: 6:41:25 time: 0.1712 data_time: 0.0028 loss: 1.0771 03/11 04:07:26 - mmengine - INFO - Epoch(train) [73][3900/5005] lr: 1.0000e-03 eta: 6:41:08 time: 0.1895 data_time: 0.0027 loss: 0.8686 03/11 04:07:44 - mmengine - INFO - Epoch(train) [73][4000/5005] lr: 1.0000e-03 eta: 6:40:50 time: 0.1715 data_time: 0.0027 loss: 0.8994 03/11 04:08:02 - mmengine - INFO - Epoch(train) [73][4100/5005] lr: 1.0000e-03 eta: 6:40:32 time: 0.1763 data_time: 0.0028 loss: 1.0793 03/11 04:08:19 - mmengine - INFO - Epoch(train) [73][4200/5005] lr: 1.0000e-03 eta: 6:40:14 time: 0.1704 data_time: 0.0027 loss: 0.9014 03/11 04:08:36 - mmengine - INFO - Epoch(train) [73][4300/5005] lr: 1.0000e-03 eta: 6:39:56 time: 0.1718 data_time: 0.0028 loss: 0.9820 03/11 04:08:54 - mmengine - INFO - Epoch(train) [73][4400/5005] lr: 1.0000e-03 eta: 6:39:39 time: 0.1739 data_time: 0.0034 loss: 1.0013 03/11 04:09:12 - mmengine - INFO - Epoch(train) [73][4500/5005] lr: 1.0000e-03 eta: 6:39:21 time: 0.1696 data_time: 0.0028 loss: 0.8373 03/11 04:09:29 - mmengine - INFO - Epoch(train) [73][4600/5005] lr: 1.0000e-03 eta: 6:39:03 time: 0.1899 data_time: 0.0030 loss: 0.9581 03/11 04:09:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:09:47 - mmengine - INFO - Epoch(train) [73][4700/5005] lr: 1.0000e-03 eta: 6:38:46 time: 0.1698 data_time: 0.0029 loss: 0.9659 03/11 04:10:04 - mmengine - INFO - Epoch(train) [73][4800/5005] lr: 1.0000e-03 eta: 6:38:28 time: 0.1712 data_time: 0.0024 loss: 0.9460 03/11 04:10:22 - mmengine - INFO - Epoch(train) [73][4900/5005] lr: 1.0000e-03 eta: 6:38:10 time: 0.1683 data_time: 0.0026 loss: 0.9451 03/11 04:10:39 - mmengine - INFO - Epoch(train) [73][5000/5005] lr: 1.0000e-03 eta: 6:37:52 time: 0.1692 data_time: 0.0025 loss: 0.9841 03/11 04:10:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:10:44 - mmengine - INFO - Saving checkpoint at 73 epochs 03/11 04:11:05 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:00:18 time: 0.0173 data_time: 0.0005 03/11 04:11:19 - mmengine - INFO - Epoch(val) [73][196/196] accuracy/top1: 76.4300 accuracy/top5: 93.0840 03/11 04:11:56 - mmengine - INFO - Epoch(train) [74][ 100/5005] lr: 1.0000e-03 eta: 6:37:40 time: 0.1696 data_time: 0.0039 loss: 0.8747 03/11 04:12:14 - mmengine - INFO - Epoch(train) [74][ 200/5005] lr: 1.0000e-03 eta: 6:37:22 time: 0.1732 data_time: 0.0033 loss: 0.9800 03/11 04:12:31 - mmengine - INFO - Epoch(train) [74][ 300/5005] lr: 1.0000e-03 eta: 6:37:05 time: 0.1740 data_time: 0.0026 loss: 1.0505 03/11 04:12:49 - mmengine - INFO - Epoch(train) [74][ 400/5005] lr: 1.0000e-03 eta: 6:36:47 time: 0.1717 data_time: 0.0032 loss: 0.9495 03/11 04:13:07 - mmengine - INFO - Epoch(train) [74][ 500/5005] lr: 1.0000e-03 eta: 6:36:29 time: 0.1718 data_time: 0.0026 loss: 1.0139 03/11 04:13:24 - mmengine - INFO - Epoch(train) [74][ 600/5005] lr: 1.0000e-03 eta: 6:36:12 time: 0.1939 data_time: 0.0027 loss: 1.2127 03/11 04:13:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:13:42 - mmengine - INFO - Epoch(train) [74][ 700/5005] lr: 1.0000e-03 eta: 6:35:54 time: 0.1725 data_time: 0.0030 loss: 1.0532 03/11 04:14:00 - mmengine - INFO - Epoch(train) [74][ 800/5005] lr: 1.0000e-03 eta: 6:35:36 time: 0.1733 data_time: 0.0029 loss: 1.0417 03/11 04:14:18 - mmengine - INFO - Epoch(train) [74][ 900/5005] lr: 1.0000e-03 eta: 6:35:19 time: 0.2356 data_time: 0.0030 loss: 1.1081 03/11 04:14:35 - mmengine - INFO - Epoch(train) [74][1000/5005] lr: 1.0000e-03 eta: 6:35:01 time: 0.1699 data_time: 0.0030 loss: 0.9547 03/11 04:14:53 - mmengine - INFO - Epoch(train) [74][1100/5005] lr: 1.0000e-03 eta: 6:34:43 time: 0.1730 data_time: 0.0030 loss: 0.8784 03/11 04:15:11 - mmengine - INFO - Epoch(train) [74][1200/5005] lr: 1.0000e-03 eta: 6:34:25 time: 0.1734 data_time: 0.0030 loss: 0.9950 03/11 04:15:28 - mmengine - INFO - Epoch(train) [74][1300/5005] lr: 1.0000e-03 eta: 6:34:08 time: 0.1721 data_time: 0.0029 loss: 0.9938 03/11 04:15:46 - mmengine - INFO - Epoch(train) [74][1400/5005] lr: 1.0000e-03 eta: 6:33:50 time: 0.1733 data_time: 0.0029 loss: 0.9671 03/11 04:16:04 - mmengine - INFO - Epoch(train) [74][1500/5005] lr: 1.0000e-03 eta: 6:33:32 time: 0.1708 data_time: 0.0029 loss: 0.9894 03/11 04:16:21 - mmengine - INFO - Epoch(train) [74][1600/5005] lr: 1.0000e-03 eta: 6:33:14 time: 0.1711 data_time: 0.0029 loss: 1.0925 03/11 04:16:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:16:39 - mmengine - INFO - Epoch(train) [74][1700/5005] lr: 1.0000e-03 eta: 6:32:57 time: 0.1723 data_time: 0.0029 loss: 0.9208 03/11 04:16:56 - mmengine - INFO - Epoch(train) [74][1800/5005] lr: 1.0000e-03 eta: 6:32:39 time: 0.1708 data_time: 0.0029 loss: 1.0613 03/11 04:17:14 - mmengine - INFO - Epoch(train) [74][1900/5005] lr: 1.0000e-03 eta: 6:32:21 time: 0.1718 data_time: 0.0027 loss: 1.0588 03/11 04:17:31 - mmengine - INFO - Epoch(train) [74][2000/5005] lr: 1.0000e-03 eta: 6:32:03 time: 0.1714 data_time: 0.0033 loss: 0.9981 03/11 04:17:49 - mmengine - INFO - Epoch(train) [74][2100/5005] lr: 1.0000e-03 eta: 6:31:45 time: 0.1892 data_time: 0.0029 loss: 0.9692 03/11 04:18:06 - mmengine - INFO - Epoch(train) [74][2200/5005] lr: 1.0000e-03 eta: 6:31:28 time: 0.2128 data_time: 0.0027 loss: 1.0125 03/11 04:18:24 - mmengine - INFO - Epoch(train) [74][2300/5005] lr: 1.0000e-03 eta: 6:31:10 time: 0.1701 data_time: 0.0027 loss: 1.0454 03/11 04:18:41 - mmengine - INFO - Epoch(train) [74][2400/5005] lr: 1.0000e-03 eta: 6:30:52 time: 0.1715 data_time: 0.0027 loss: 0.9014 03/11 04:18:59 - mmengine - INFO - Epoch(train) [74][2500/5005] lr: 1.0000e-03 eta: 6:30:34 time: 0.1707 data_time: 0.0025 loss: 0.7509 03/11 04:19:16 - mmengine - INFO - Epoch(train) [74][2600/5005] lr: 1.0000e-03 eta: 6:30:17 time: 0.1697 data_time: 0.0029 loss: 0.8828 03/11 04:19:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:19:34 - mmengine - INFO - Epoch(train) [74][2700/5005] lr: 1.0000e-03 eta: 6:29:59 time: 0.1691 data_time: 0.0029 loss: 1.0246 03/11 04:19:51 - mmengine - INFO - Epoch(train) [74][2800/5005] lr: 1.0000e-03 eta: 6:29:41 time: 0.1712 data_time: 0.0026 loss: 0.9463 03/11 04:20:09 - mmengine - INFO - Epoch(train) [74][2900/5005] lr: 1.0000e-03 eta: 6:29:23 time: 0.1720 data_time: 0.0027 loss: 0.9832 03/11 04:20:26 - mmengine - INFO - Epoch(train) [74][3000/5005] lr: 1.0000e-03 eta: 6:29:05 time: 0.1719 data_time: 0.0027 loss: 0.8857 03/11 04:20:44 - mmengine - INFO - Epoch(train) [74][3100/5005] lr: 1.0000e-03 eta: 6:28:48 time: 0.1693 data_time: 0.0027 loss: 0.9830 03/11 04:21:01 - mmengine - INFO - Epoch(train) [74][3200/5005] lr: 1.0000e-03 eta: 6:28:30 time: 0.1722 data_time: 0.0026 loss: 0.9676 03/11 04:21:19 - mmengine - INFO - Epoch(train) [74][3300/5005] lr: 1.0000e-03 eta: 6:28:12 time: 0.1737 data_time: 0.0028 loss: 0.9136 03/11 04:21:36 - mmengine - INFO - Epoch(train) [74][3400/5005] lr: 1.0000e-03 eta: 6:27:54 time: 0.1840 data_time: 0.0026 loss: 0.8719 03/11 04:21:54 - mmengine - INFO - Epoch(train) [74][3500/5005] lr: 1.0000e-03 eta: 6:27:37 time: 0.1711 data_time: 0.0028 loss: 0.8633 03/11 04:22:11 - mmengine - INFO - Epoch(train) [74][3600/5005] lr: 1.0000e-03 eta: 6:27:19 time: 0.1738 data_time: 0.0025 loss: 0.9336 03/11 04:22:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:22:28 - mmengine - INFO - Epoch(train) [74][3700/5005] lr: 1.0000e-03 eta: 6:27:01 time: 0.1717 data_time: 0.0027 loss: 1.0392 03/11 04:22:46 - mmengine - INFO - Epoch(train) [74][3800/5005] lr: 1.0000e-03 eta: 6:26:43 time: 0.1726 data_time: 0.0027 loss: 0.9134 03/11 04:23:04 - mmengine - INFO - Epoch(train) [74][3900/5005] lr: 1.0000e-03 eta: 6:26:25 time: 0.1852 data_time: 0.0026 loss: 0.9346 03/11 04:23:21 - mmengine - INFO - Epoch(train) [74][4000/5005] lr: 1.0000e-03 eta: 6:26:08 time: 0.1715 data_time: 0.0029 loss: 0.9079 03/11 04:23:38 - mmengine - INFO - Epoch(train) [74][4100/5005] lr: 1.0000e-03 eta: 6:25:50 time: 0.1685 data_time: 0.0026 loss: 1.1714 03/11 04:23:56 - mmengine - INFO - Epoch(train) [74][4200/5005] lr: 1.0000e-03 eta: 6:25:32 time: 0.1707 data_time: 0.0027 loss: 0.9734 03/11 04:24:13 - mmengine - INFO - Epoch(train) [74][4300/5005] lr: 1.0000e-03 eta: 6:25:14 time: 0.1703 data_time: 0.0029 loss: 1.0067 03/11 04:24:31 - mmengine - INFO - Epoch(train) [74][4400/5005] lr: 1.0000e-03 eta: 6:24:56 time: 0.1878 data_time: 0.0026 loss: 0.9353 03/11 04:24:48 - mmengine - INFO - Epoch(train) [74][4500/5005] lr: 1.0000e-03 eta: 6:24:39 time: 0.1720 data_time: 0.0026 loss: 0.7084 03/11 04:25:06 - mmengine - INFO - Epoch(train) [74][4600/5005] lr: 1.0000e-03 eta: 6:24:21 time: 0.1690 data_time: 0.0032 loss: 0.8925 03/11 04:25:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:25:23 - mmengine - INFO - Epoch(train) [74][4700/5005] lr: 1.0000e-03 eta: 6:24:03 time: 0.1872 data_time: 0.0027 loss: 1.0174 03/11 04:25:41 - mmengine - INFO - Epoch(train) [74][4800/5005] lr: 1.0000e-03 eta: 6:23:45 time: 0.1686 data_time: 0.0027 loss: 0.9968 03/11 04:25:58 - mmengine - INFO - Epoch(train) [74][4900/5005] lr: 1.0000e-03 eta: 6:23:27 time: 0.1713 data_time: 0.0027 loss: 0.8643 03/11 04:26:15 - mmengine - INFO - Epoch(train) [74][5000/5005] lr: 1.0000e-03 eta: 6:23:09 time: 0.1678 data_time: 0.0028 loss: 1.1424 03/11 04:26:16 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:26:21 - mmengine - INFO - Saving checkpoint at 74 epochs 03/11 04:26:42 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:00:19 time: 0.0231 data_time: 0.0005 03/11 04:26:56 - mmengine - INFO - Epoch(val) [74][196/196] accuracy/top1: 76.5980 accuracy/top5: 93.2360 03/11 04:27:33 - mmengine - INFO - Epoch(train) [75][ 100/5005] lr: 1.0000e-03 eta: 6:22:58 time: 0.1698 data_time: 0.0029 loss: 1.0052 03/11 04:27:51 - mmengine - INFO - Epoch(train) [75][ 200/5005] lr: 1.0000e-03 eta: 6:22:40 time: 0.1720 data_time: 0.0027 loss: 0.9542 03/11 04:28:09 - mmengine - INFO - Epoch(train) [75][ 300/5005] lr: 1.0000e-03 eta: 6:22:22 time: 0.1716 data_time: 0.0028 loss: 0.9676 03/11 04:28:27 - mmengine - INFO - Epoch(train) [75][ 400/5005] lr: 1.0000e-03 eta: 6:22:05 time: 0.1736 data_time: 0.0028 loss: 0.8247 03/11 04:28:44 - mmengine - INFO - Epoch(train) [75][ 500/5005] lr: 1.0000e-03 eta: 6:21:47 time: 0.1716 data_time: 0.0027 loss: 0.8891 03/11 04:29:02 - mmengine - INFO - Epoch(train) [75][ 600/5005] lr: 1.0000e-03 eta: 6:21:29 time: 0.1723 data_time: 0.0030 loss: 0.9271 03/11 04:29:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:29:20 - mmengine - INFO - Epoch(train) [75][ 700/5005] lr: 1.0000e-03 eta: 6:21:11 time: 0.1706 data_time: 0.0028 loss: 0.8430 03/11 04:29:38 - mmengine - INFO - Epoch(train) [75][ 800/5005] lr: 1.0000e-03 eta: 6:20:54 time: 0.1727 data_time: 0.0027 loss: 0.8290 03/11 04:29:55 - mmengine - INFO - Epoch(train) [75][ 900/5005] lr: 1.0000e-03 eta: 6:20:36 time: 0.1739 data_time: 0.0028 loss: 0.9318 03/11 04:30:13 - mmengine - INFO - Epoch(train) [75][1000/5005] lr: 1.0000e-03 eta: 6:20:18 time: 0.1718 data_time: 0.0027 loss: 0.8269 03/11 04:30:30 - mmengine - INFO - Epoch(train) [75][1100/5005] lr: 1.0000e-03 eta: 6:20:01 time: 0.1729 data_time: 0.0029 loss: 0.7831 03/11 04:30:48 - mmengine - INFO - Epoch(train) [75][1200/5005] lr: 1.0000e-03 eta: 6:19:43 time: 0.1736 data_time: 0.0029 loss: 0.9584 03/11 04:31:05 - mmengine - INFO - Epoch(train) [75][1300/5005] lr: 1.0000e-03 eta: 6:19:25 time: 0.1705 data_time: 0.0028 loss: 1.2172 03/11 04:31:23 - mmengine - INFO - Epoch(train) [75][1400/5005] lr: 1.0000e-03 eta: 6:19:07 time: 0.1707 data_time: 0.0027 loss: 0.9144 03/11 04:31:40 - mmengine - INFO - Epoch(train) [75][1500/5005] lr: 1.0000e-03 eta: 6:18:49 time: 0.1759 data_time: 0.0029 loss: 0.7928 03/11 04:31:58 - mmengine - INFO - Epoch(train) [75][1600/5005] lr: 1.0000e-03 eta: 6:18:32 time: 0.1716 data_time: 0.0030 loss: 1.2058 03/11 04:32:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:32:15 - mmengine - INFO - Epoch(train) [75][1700/5005] lr: 1.0000e-03 eta: 6:18:14 time: 0.1715 data_time: 0.0027 loss: 0.9729 03/11 04:32:33 - mmengine - INFO - Epoch(train) [75][1800/5005] lr: 1.0000e-03 eta: 6:17:56 time: 0.1853 data_time: 0.0028 loss: 1.0074 03/11 04:32:50 - mmengine - INFO - Epoch(train) [75][1900/5005] lr: 1.0000e-03 eta: 6:17:38 time: 0.1687 data_time: 0.0027 loss: 0.9748 03/11 04:33:08 - mmengine - INFO - Epoch(train) [75][2000/5005] lr: 1.0000e-03 eta: 6:17:21 time: 0.1731 data_time: 0.0028 loss: 0.9989 03/11 04:33:26 - mmengine - INFO - Epoch(train) [75][2100/5005] lr: 1.0000e-03 eta: 6:17:03 time: 0.1713 data_time: 0.0029 loss: 0.9757 03/11 04:33:43 - mmengine - INFO - Epoch(train) [75][2200/5005] lr: 1.0000e-03 eta: 6:16:45 time: 0.1710 data_time: 0.0028 loss: 1.0235 03/11 04:34:01 - mmengine - INFO - Epoch(train) [75][2300/5005] lr: 1.0000e-03 eta: 6:16:27 time: 0.1721 data_time: 0.0030 loss: 0.8853 03/11 04:34:18 - mmengine - INFO - Epoch(train) [75][2400/5005] lr: 1.0000e-03 eta: 6:16:09 time: 0.1710 data_time: 0.0028 loss: 0.9433 03/11 04:34:36 - mmengine - INFO - Epoch(train) [75][2500/5005] lr: 1.0000e-03 eta: 6:15:52 time: 0.1957 data_time: 0.0028 loss: 1.0068 03/11 04:34:54 - mmengine - INFO - Epoch(train) [75][2600/5005] lr: 1.0000e-03 eta: 6:15:34 time: 0.1724 data_time: 0.0028 loss: 1.0479 03/11 04:34:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:35:11 - mmengine - INFO - Epoch(train) [75][2700/5005] lr: 1.0000e-03 eta: 6:15:16 time: 0.1701 data_time: 0.0028 loss: 0.7944 03/11 04:35:29 - mmengine - INFO - Epoch(train) [75][2800/5005] lr: 1.0000e-03 eta: 6:14:59 time: 0.1756 data_time: 0.0028 loss: 0.9436 03/11 04:35:46 - mmengine - INFO - Epoch(train) [75][2900/5005] lr: 1.0000e-03 eta: 6:14:41 time: 0.1716 data_time: 0.0033 loss: 0.9178 03/11 04:36:04 - mmengine - INFO - Epoch(train) [75][3000/5005] lr: 1.0000e-03 eta: 6:14:23 time: 0.1744 data_time: 0.0028 loss: 1.0429 03/11 04:36:22 - mmengine - INFO - Epoch(train) [75][3100/5005] lr: 1.0000e-03 eta: 6:14:05 time: 0.1814 data_time: 0.0030 loss: 0.9444 03/11 04:36:39 - mmengine - INFO - Epoch(train) [75][3200/5005] lr: 1.0000e-03 eta: 6:13:48 time: 0.1724 data_time: 0.0028 loss: 1.0196 03/11 04:36:57 - mmengine - INFO - Epoch(train) [75][3300/5005] lr: 1.0000e-03 eta: 6:13:30 time: 0.1714 data_time: 0.0028 loss: 0.9981 03/11 04:37:15 - mmengine - INFO - Epoch(train) [75][3400/5005] lr: 1.0000e-03 eta: 6:13:12 time: 0.1734 data_time: 0.0028 loss: 0.8872 03/11 04:37:32 - mmengine - INFO - Epoch(train) [75][3500/5005] lr: 1.0000e-03 eta: 6:12:54 time: 0.1744 data_time: 0.0028 loss: 0.9636 03/11 04:37:49 - mmengine - INFO - Epoch(train) [75][3600/5005] lr: 1.0000e-03 eta: 6:12:37 time: 0.1720 data_time: 0.0030 loss: 1.1221 03/11 04:37:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:38:07 - mmengine - INFO - Epoch(train) [75][3700/5005] lr: 1.0000e-03 eta: 6:12:19 time: 0.1722 data_time: 0.0031 loss: 1.0562 03/11 04:38:24 - mmengine - INFO - Epoch(train) [75][3800/5005] lr: 1.0000e-03 eta: 6:12:01 time: 0.1708 data_time: 0.0027 loss: 0.8870 03/11 04:38:42 - mmengine - INFO - Epoch(train) [75][3900/5005] lr: 1.0000e-03 eta: 6:11:43 time: 0.1866 data_time: 0.0029 loss: 0.8425 03/11 04:39:00 - mmengine - INFO - Epoch(train) [75][4000/5005] lr: 1.0000e-03 eta: 6:11:26 time: 0.1696 data_time: 0.0029 loss: 1.2107 03/11 04:39:17 - mmengine - INFO - Epoch(train) [75][4100/5005] lr: 1.0000e-03 eta: 6:11:08 time: 0.1736 data_time: 0.0032 loss: 1.0554 03/11 04:39:34 - mmengine - INFO - Epoch(train) [75][4200/5005] lr: 1.0000e-03 eta: 6:10:50 time: 0.1701 data_time: 0.0027 loss: 1.0685 03/11 04:39:52 - mmengine - INFO - Epoch(train) [75][4300/5005] lr: 1.0000e-03 eta: 6:10:32 time: 0.1693 data_time: 0.0029 loss: 1.0538 03/11 04:40:10 - mmengine - INFO - Epoch(train) [75][4400/5005] lr: 1.0000e-03 eta: 6:10:14 time: 0.1716 data_time: 0.0027 loss: 0.9029 03/11 04:40:27 - mmengine - INFO - Epoch(train) [75][4500/5005] lr: 1.0000e-03 eta: 6:09:57 time: 0.1710 data_time: 0.0029 loss: 0.9627 03/11 04:40:45 - mmengine - INFO - Epoch(train) [75][4600/5005] lr: 1.0000e-03 eta: 6:09:39 time: 0.1722 data_time: 0.0029 loss: 0.9648 03/11 04:40:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:41:02 - mmengine - INFO - Epoch(train) [75][4700/5005] lr: 1.0000e-03 eta: 6:09:21 time: 0.1708 data_time: 0.0027 loss: 0.9967 03/11 04:41:20 - mmengine - INFO - Epoch(train) [75][4800/5005] lr: 1.0000e-03 eta: 6:09:03 time: 0.1726 data_time: 0.0028 loss: 0.8795 03/11 04:41:37 - mmengine - INFO - Epoch(train) [75][4900/5005] lr: 1.0000e-03 eta: 6:08:46 time: 0.1767 data_time: 0.0030 loss: 1.0874 03/11 04:41:55 - mmengine - INFO - Epoch(train) [75][5000/5005] lr: 1.0000e-03 eta: 6:08:28 time: 0.1752 data_time: 0.0027 loss: 0.9536 03/11 04:41:56 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:42:01 - mmengine - INFO - Saving checkpoint at 75 epochs 03/11 04:42:22 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:00:19 time: 0.0202 data_time: 0.0005 03/11 04:42:37 - mmengine - INFO - Epoch(val) [75][196/196] accuracy/top1: 76.5020 accuracy/top5: 93.2720 03/11 04:43:14 - mmengine - INFO - Epoch(train) [76][ 100/5005] lr: 1.0000e-03 eta: 6:08:16 time: 0.1979 data_time: 0.0029 loss: 0.9868 03/11 04:43:32 - mmengine - INFO - Epoch(train) [76][ 200/5005] lr: 1.0000e-03 eta: 6:07:58 time: 0.1740 data_time: 0.0028 loss: 1.0523 03/11 04:43:49 - mmengine - INFO - Epoch(train) [76][ 300/5005] lr: 1.0000e-03 eta: 6:07:40 time: 0.1728 data_time: 0.0036 loss: 0.8946 03/11 04:44:07 - mmengine - INFO - Epoch(train) [76][ 400/5005] lr: 1.0000e-03 eta: 6:07:23 time: 0.1710 data_time: 0.0035 loss: 0.8608 03/11 04:44:25 - mmengine - INFO - Epoch(train) [76][ 500/5005] lr: 1.0000e-03 eta: 6:07:05 time: 0.1729 data_time: 0.0027 loss: 1.0658 03/11 04:44:42 - mmengine - INFO - Epoch(train) [76][ 600/5005] lr: 1.0000e-03 eta: 6:06:47 time: 0.1717 data_time: 0.0030 loss: 0.8585 03/11 04:44:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:45:00 - mmengine - INFO - Epoch(train) [76][ 700/5005] lr: 1.0000e-03 eta: 6:06:30 time: 0.1707 data_time: 0.0032 loss: 0.9157 03/11 04:45:18 - mmengine - INFO - Epoch(train) [76][ 800/5005] lr: 1.0000e-03 eta: 6:06:12 time: 0.1753 data_time: 0.0027 loss: 0.8560 03/11 04:45:35 - mmengine - INFO - Epoch(train) [76][ 900/5005] lr: 1.0000e-03 eta: 6:05:54 time: 0.1806 data_time: 0.0029 loss: 0.9529 03/11 04:45:53 - mmengine - INFO - Epoch(train) [76][1000/5005] lr: 1.0000e-03 eta: 6:05:36 time: 0.1698 data_time: 0.0026 loss: 0.9154 03/11 04:46:10 - mmengine - INFO - Epoch(train) [76][1100/5005] lr: 1.0000e-03 eta: 6:05:18 time: 0.1719 data_time: 0.0030 loss: 0.8389 03/11 04:46:28 - mmengine - INFO - Epoch(train) [76][1200/5005] lr: 1.0000e-03 eta: 6:05:01 time: 0.1704 data_time: 0.0027 loss: 1.0400 03/11 04:46:46 - mmengine - INFO - Epoch(train) [76][1300/5005] lr: 1.0000e-03 eta: 6:04:43 time: 0.1718 data_time: 0.0028 loss: 1.0393 03/11 04:47:03 - mmengine - INFO - Epoch(train) [76][1400/5005] lr: 1.0000e-03 eta: 6:04:25 time: 0.1713 data_time: 0.0027 loss: 1.0994 03/11 04:47:21 - mmengine - INFO - Epoch(train) [76][1500/5005] lr: 1.0000e-03 eta: 6:04:08 time: 0.1697 data_time: 0.0029 loss: 0.9443 03/11 04:47:38 - mmengine - INFO - Epoch(train) [76][1600/5005] lr: 1.0000e-03 eta: 6:03:50 time: 0.1709 data_time: 0.0028 loss: 1.0642 03/11 04:47:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:47:55 - mmengine - INFO - Epoch(train) [76][1700/5005] lr: 1.0000e-03 eta: 6:03:32 time: 0.1709 data_time: 0.0028 loss: 0.8767 03/11 04:48:13 - mmengine - INFO - Epoch(train) [76][1800/5005] lr: 1.0000e-03 eta: 6:03:14 time: 0.1722 data_time: 0.0028 loss: 1.0331 03/11 04:48:30 - mmengine - INFO - Epoch(train) [76][1900/5005] lr: 1.0000e-03 eta: 6:02:56 time: 0.2078 data_time: 0.0028 loss: 0.9077 03/11 04:48:48 - mmengine - INFO - Epoch(train) [76][2000/5005] lr: 1.0000e-03 eta: 6:02:38 time: 0.1693 data_time: 0.0027 loss: 1.0028 03/11 04:49:05 - mmengine - INFO - Epoch(train) [76][2100/5005] lr: 1.0000e-03 eta: 6:02:21 time: 0.1709 data_time: 0.0028 loss: 0.9376 03/11 04:49:23 - mmengine - INFO - Epoch(train) [76][2200/5005] lr: 1.0000e-03 eta: 6:02:03 time: 0.1724 data_time: 0.0027 loss: 1.0005 03/11 04:49:40 - mmengine - INFO - Epoch(train) [76][2300/5005] lr: 1.0000e-03 eta: 6:01:45 time: 0.1745 data_time: 0.0030 loss: 0.9687 03/11 04:49:57 - mmengine - INFO - Epoch(train) [76][2400/5005] lr: 1.0000e-03 eta: 6:01:27 time: 0.1736 data_time: 0.0028 loss: 0.9584 03/11 04:50:15 - mmengine - INFO - Epoch(train) [76][2500/5005] lr: 1.0000e-03 eta: 6:01:10 time: 0.1852 data_time: 0.0027 loss: 0.9434 03/11 04:50:33 - mmengine - INFO - Epoch(train) [76][2600/5005] lr: 1.0000e-03 eta: 6:00:52 time: 0.1714 data_time: 0.0026 loss: 1.0170 03/11 04:50:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:50:50 - mmengine - INFO - Epoch(train) [76][2700/5005] lr: 1.0000e-03 eta: 6:00:34 time: 0.1890 data_time: 0.0027 loss: 0.9624 03/11 04:51:08 - mmengine - INFO - Epoch(train) [76][2800/5005] lr: 1.0000e-03 eta: 6:00:16 time: 0.1705 data_time: 0.0027 loss: 0.8917 03/11 04:51:25 - mmengine - INFO - Epoch(train) [76][2900/5005] lr: 1.0000e-03 eta: 5:59:59 time: 0.1746 data_time: 0.0027 loss: 0.9522 03/11 04:51:43 - mmengine - INFO - Epoch(train) [76][3000/5005] lr: 1.0000e-03 eta: 5:59:41 time: 0.1701 data_time: 0.0027 loss: 0.9246 03/11 04:52:01 - mmengine - INFO - Epoch(train) [76][3100/5005] lr: 1.0000e-03 eta: 5:59:23 time: 0.1720 data_time: 0.0027 loss: 0.9719 03/11 04:52:18 - mmengine - INFO - Epoch(train) [76][3200/5005] lr: 1.0000e-03 eta: 5:59:05 time: 0.1702 data_time: 0.0027 loss: 1.0582 03/11 04:52:35 - mmengine - INFO - Epoch(train) [76][3300/5005] lr: 1.0000e-03 eta: 5:58:48 time: 0.1725 data_time: 0.0028 loss: 0.9933 03/11 04:52:53 - mmengine - INFO - Epoch(train) [76][3400/5005] lr: 1.0000e-03 eta: 5:58:30 time: 0.1763 data_time: 0.0029 loss: 0.8579 03/11 04:53:10 - mmengine - INFO - Epoch(train) [76][3500/5005] lr: 1.0000e-03 eta: 5:58:12 time: 0.1725 data_time: 0.0029 loss: 1.0730 03/11 04:53:28 - mmengine - INFO - Epoch(train) [76][3600/5005] lr: 1.0000e-03 eta: 5:57:54 time: 0.1712 data_time: 0.0028 loss: 1.0370 03/11 04:53:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:53:46 - mmengine - INFO - Epoch(train) [76][3700/5005] lr: 1.0000e-03 eta: 5:57:37 time: 0.1929 data_time: 0.0026 loss: 0.9879 03/11 04:54:03 - mmengine - INFO - Epoch(train) [76][3800/5005] lr: 1.0000e-03 eta: 5:57:19 time: 0.1725 data_time: 0.0030 loss: 0.8925 03/11 04:54:21 - mmengine - INFO - Epoch(train) [76][3900/5005] lr: 1.0000e-03 eta: 5:57:01 time: 0.1709 data_time: 0.0028 loss: 0.9180 03/11 04:54:38 - mmengine - INFO - Epoch(train) [76][4000/5005] lr: 1.0000e-03 eta: 5:56:43 time: 0.1738 data_time: 0.0028 loss: 0.9051 03/11 04:54:56 - mmengine - INFO - Epoch(train) [76][4100/5005] lr: 1.0000e-03 eta: 5:56:25 time: 0.1711 data_time: 0.0028 loss: 0.7977 03/11 04:55:13 - mmengine - INFO - Epoch(train) [76][4200/5005] lr: 1.0000e-03 eta: 5:56:08 time: 0.1737 data_time: 0.0027 loss: 0.8674 03/11 04:55:31 - mmengine - INFO - Epoch(train) [76][4300/5005] lr: 1.0000e-03 eta: 5:55:50 time: 0.1722 data_time: 0.0028 loss: 0.9747 03/11 04:55:49 - mmengine - INFO - Epoch(train) [76][4400/5005] lr: 1.0000e-03 eta: 5:55:32 time: 0.1707 data_time: 0.0027 loss: 0.9714 03/11 04:56:06 - mmengine - INFO - Epoch(train) [76][4500/5005] lr: 1.0000e-03 eta: 5:55:14 time: 0.1821 data_time: 0.0028 loss: 0.9866 03/11 04:56:24 - mmengine - INFO - Epoch(train) [76][4600/5005] lr: 1.0000e-03 eta: 5:54:57 time: 0.1756 data_time: 0.0030 loss: 0.8501 03/11 04:56:28 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:56:41 - mmengine - INFO - Epoch(train) [76][4700/5005] lr: 1.0000e-03 eta: 5:54:39 time: 0.1707 data_time: 0.0028 loss: 0.9423 03/11 04:56:58 - mmengine - INFO - Epoch(train) [76][4800/5005] lr: 1.0000e-03 eta: 5:54:21 time: 0.1705 data_time: 0.0027 loss: 1.0977 03/11 04:57:15 - mmengine - INFO - Epoch(train) [76][4900/5005] lr: 1.0000e-03 eta: 5:54:03 time: 0.1700 data_time: 0.0027 loss: 0.9895 03/11 04:57:32 - mmengine - INFO - Epoch(train) [76][5000/5005] lr: 1.0000e-03 eta: 5:53:45 time: 0.1698 data_time: 0.0027 loss: 1.0892 03/11 04:57:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 04:57:38 - mmengine - INFO - Saving checkpoint at 76 epochs 03/11 04:58:00 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:00:19 time: 0.0177 data_time: 0.0004 03/11 04:58:14 - mmengine - INFO - Epoch(val) [76][196/196] accuracy/top1: 76.5920 accuracy/top5: 93.2220 03/11 04:58:51 - mmengine - INFO - Epoch(train) [77][ 100/5005] lr: 1.0000e-03 eta: 5:53:32 time: 0.1744 data_time: 0.0041 loss: 0.9679 03/11 04:59:09 - mmengine - INFO - Epoch(train) [77][ 200/5005] lr: 1.0000e-03 eta: 5:53:15 time: 0.1720 data_time: 0.0028 loss: 0.8229 03/11 04:59:27 - mmengine - INFO - Epoch(train) [77][ 300/5005] lr: 1.0000e-03 eta: 5:52:57 time: 0.1711 data_time: 0.0031 loss: 1.1295 03/11 04:59:45 - mmengine - INFO - Epoch(train) [77][ 400/5005] lr: 1.0000e-03 eta: 5:52:40 time: 0.1742 data_time: 0.0029 loss: 0.9706 03/11 05:00:03 - mmengine - INFO - Epoch(train) [77][ 500/5005] lr: 1.0000e-03 eta: 5:52:22 time: 0.1738 data_time: 0.0031 loss: 0.8797 03/11 05:00:21 - mmengine - INFO - Epoch(train) [77][ 600/5005] lr: 1.0000e-03 eta: 5:52:04 time: 0.1707 data_time: 0.0030 loss: 0.9913 03/11 05:00:24 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:00:38 - mmengine - INFO - Epoch(train) [77][ 700/5005] lr: 1.0000e-03 eta: 5:51:47 time: 0.1743 data_time: 0.0030 loss: 0.9722 03/11 05:00:56 - mmengine - INFO - Epoch(train) [77][ 800/5005] lr: 1.0000e-03 eta: 5:51:29 time: 0.1720 data_time: 0.0029 loss: 1.1630 03/11 05:01:13 - mmengine - INFO - Epoch(train) [77][ 900/5005] lr: 1.0000e-03 eta: 5:51:11 time: 0.1745 data_time: 0.0029 loss: 0.8667 03/11 05:01:31 - mmengine - INFO - Epoch(train) [77][1000/5005] lr: 1.0000e-03 eta: 5:50:53 time: 0.1875 data_time: 0.0032 loss: 0.9160 03/11 05:01:49 - mmengine - INFO - Epoch(train) [77][1100/5005] lr: 1.0000e-03 eta: 5:50:36 time: 0.1734 data_time: 0.0028 loss: 0.8755 03/11 05:02:07 - mmengine - INFO - Epoch(train) [77][1200/5005] lr: 1.0000e-03 eta: 5:50:18 time: 0.1736 data_time: 0.0029 loss: 0.9973 03/11 05:02:25 - mmengine - INFO - Epoch(train) [77][1300/5005] lr: 1.0000e-03 eta: 5:50:00 time: 0.1714 data_time: 0.0034 loss: 1.1637 03/11 05:02:43 - mmengine - INFO - Epoch(train) [77][1400/5005] lr: 1.0000e-03 eta: 5:49:43 time: 0.1727 data_time: 0.0031 loss: 1.0378 03/11 05:03:00 - mmengine - INFO - Epoch(train) [77][1500/5005] lr: 1.0000e-03 eta: 5:49:25 time: 0.1721 data_time: 0.0032 loss: 0.9586 03/11 05:03:18 - mmengine - INFO - Epoch(train) [77][1600/5005] lr: 1.0000e-03 eta: 5:49:07 time: 0.1735 data_time: 0.0030 loss: 0.9770 03/11 05:03:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:03:36 - mmengine - INFO - Epoch(train) [77][1700/5005] lr: 1.0000e-03 eta: 5:48:50 time: 0.1719 data_time: 0.0028 loss: 1.0509 03/11 05:03:53 - mmengine - INFO - Epoch(train) [77][1800/5005] lr: 1.0000e-03 eta: 5:48:32 time: 0.1923 data_time: 0.0031 loss: 0.9275 03/11 05:04:11 - mmengine - INFO - Epoch(train) [77][1900/5005] lr: 1.0000e-03 eta: 5:48:14 time: 0.1712 data_time: 0.0029 loss: 1.0920 03/11 05:04:28 - mmengine - INFO - Epoch(train) [77][2000/5005] lr: 1.0000e-03 eta: 5:47:56 time: 0.1716 data_time: 0.0029 loss: 1.1454 03/11 05:04:45 - mmengine - INFO - Epoch(train) [77][2100/5005] lr: 1.0000e-03 eta: 5:47:38 time: 0.1722 data_time: 0.0030 loss: 0.8660 03/11 05:05:03 - mmengine - INFO - Epoch(train) [77][2200/5005] lr: 1.0000e-03 eta: 5:47:21 time: 0.1721 data_time: 0.0029 loss: 0.9452 03/11 05:05:21 - mmengine - INFO - Epoch(train) [77][2300/5005] lr: 1.0000e-03 eta: 5:47:03 time: 0.1724 data_time: 0.0030 loss: 0.9909 03/11 05:05:39 - mmengine - INFO - Epoch(train) [77][2400/5005] lr: 1.0000e-03 eta: 5:46:45 time: 0.1690 data_time: 0.0029 loss: 0.8608 03/11 05:05:56 - mmengine - INFO - Epoch(train) [77][2500/5005] lr: 1.0000e-03 eta: 5:46:27 time: 0.1767 data_time: 0.0029 loss: 1.1217 03/11 05:06:13 - mmengine - INFO - Epoch(train) [77][2600/5005] lr: 1.0000e-03 eta: 5:46:10 time: 0.1713 data_time: 0.0030 loss: 0.8634 03/11 05:06:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:06:31 - mmengine - INFO - Epoch(train) [77][2700/5005] lr: 1.0000e-03 eta: 5:45:52 time: 0.1729 data_time: 0.0028 loss: 0.9000 03/11 05:06:48 - mmengine - INFO - Epoch(train) [77][2800/5005] lr: 1.0000e-03 eta: 5:45:34 time: 0.1730 data_time: 0.0029 loss: 0.9889 03/11 05:07:06 - mmengine - INFO - Epoch(train) [77][2900/5005] lr: 1.0000e-03 eta: 5:45:16 time: 0.1869 data_time: 0.0030 loss: 1.0318 03/11 05:07:24 - mmengine - INFO - Epoch(train) [77][3000/5005] lr: 1.0000e-03 eta: 5:44:59 time: 0.1707 data_time: 0.0028 loss: 0.8206 03/11 05:07:41 - mmengine - INFO - Epoch(train) [77][3100/5005] lr: 1.0000e-03 eta: 5:44:41 time: 0.1741 data_time: 0.0027 loss: 0.8961 03/11 05:07:59 - mmengine - INFO - Epoch(train) [77][3200/5005] lr: 1.0000e-03 eta: 5:44:23 time: 0.1712 data_time: 0.0026 loss: 0.9272 03/11 05:08:16 - mmengine - INFO - Epoch(train) [77][3300/5005] lr: 1.0000e-03 eta: 5:44:05 time: 0.1733 data_time: 0.0028 loss: 0.8335 03/11 05:08:33 - mmengine - INFO - Epoch(train) [77][3400/5005] lr: 1.0000e-03 eta: 5:43:47 time: 0.1715 data_time: 0.0028 loss: 0.8982 03/11 05:08:51 - mmengine - INFO - Epoch(train) [77][3500/5005] lr: 1.0000e-03 eta: 5:43:30 time: 0.1731 data_time: 0.0027 loss: 0.9371 03/11 05:09:09 - mmengine - INFO - Epoch(train) [77][3600/5005] lr: 1.0000e-03 eta: 5:43:12 time: 0.1713 data_time: 0.0028 loss: 0.9566 03/11 05:09:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:09:26 - mmengine - INFO - Epoch(train) [77][3700/5005] lr: 1.0000e-03 eta: 5:42:54 time: 0.1871 data_time: 0.0029 loss: 0.9594 03/11 05:09:44 - mmengine - INFO - Epoch(train) [77][3800/5005] lr: 1.0000e-03 eta: 5:42:36 time: 0.1705 data_time: 0.0030 loss: 0.8757 03/11 05:10:01 - mmengine - INFO - Epoch(train) [77][3900/5005] lr: 1.0000e-03 eta: 5:42:19 time: 0.1710 data_time: 0.0030 loss: 1.2209 03/11 05:10:18 - mmengine - INFO - Epoch(train) [77][4000/5005] lr: 1.0000e-03 eta: 5:42:01 time: 0.1699 data_time: 0.0029 loss: 0.8219 03/11 05:10:36 - mmengine - INFO - Epoch(train) [77][4100/5005] lr: 1.0000e-03 eta: 5:41:43 time: 0.1720 data_time: 0.0031 loss: 0.9033 03/11 05:10:54 - mmengine - INFO - Epoch(train) [77][4200/5005] lr: 1.0000e-03 eta: 5:41:25 time: 0.1740 data_time: 0.0029 loss: 0.9711 03/11 05:11:11 - mmengine - INFO - Epoch(train) [77][4300/5005] lr: 1.0000e-03 eta: 5:41:08 time: 0.1728 data_time: 0.0027 loss: 0.8726 03/11 05:11:29 - mmengine - INFO - Epoch(train) [77][4400/5005] lr: 1.0000e-03 eta: 5:40:50 time: 0.1691 data_time: 0.0029 loss: 0.7695 03/11 05:11:46 - mmengine - INFO - Epoch(train) [77][4500/5005] lr: 1.0000e-03 eta: 5:40:32 time: 0.1722 data_time: 0.0028 loss: 0.9592 03/11 05:12:04 - mmengine - INFO - Epoch(train) [77][4600/5005] lr: 1.0000e-03 eta: 5:40:14 time: 0.1690 data_time: 0.0026 loss: 0.9234 03/11 05:12:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:12:21 - mmengine - INFO - Epoch(train) [77][4700/5005] lr: 1.0000e-03 eta: 5:39:56 time: 0.1884 data_time: 0.0028 loss: 1.0392 03/11 05:12:38 - mmengine - INFO - Epoch(train) [77][4800/5005] lr: 1.0000e-03 eta: 5:39:39 time: 0.1695 data_time: 0.0029 loss: 0.9606 03/11 05:12:56 - mmengine - INFO - Epoch(train) [77][4900/5005] lr: 1.0000e-03 eta: 5:39:21 time: 0.1681 data_time: 0.0031 loss: 0.9116 03/11 05:13:13 - mmengine - INFO - Epoch(train) [77][5000/5005] lr: 1.0000e-03 eta: 5:39:03 time: 0.1682 data_time: 0.0027 loss: 1.0315 03/11 05:13:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:13:18 - mmengine - INFO - Saving checkpoint at 77 epochs 03/11 05:13:39 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:00:19 time: 0.0217 data_time: 0.0004 03/11 05:13:54 - mmengine - INFO - Epoch(val) [77][196/196] accuracy/top1: 76.5620 accuracy/top5: 93.1600 03/11 05:14:31 - mmengine - INFO - Epoch(train) [78][ 100/5005] lr: 1.0000e-03 eta: 5:38:50 time: 0.1698 data_time: 0.0035 loss: 0.8634 03/11 05:14:49 - mmengine - INFO - Epoch(train) [78][ 200/5005] lr: 1.0000e-03 eta: 5:38:32 time: 0.1743 data_time: 0.0030 loss: 0.8970 03/11 05:15:06 - mmengine - INFO - Epoch(train) [78][ 300/5005] lr: 1.0000e-03 eta: 5:38:15 time: 0.1700 data_time: 0.0033 loss: 1.1088 03/11 05:15:24 - mmengine - INFO - Epoch(train) [78][ 400/5005] lr: 1.0000e-03 eta: 5:37:57 time: 0.1714 data_time: 0.0028 loss: 0.9750 03/11 05:15:42 - mmengine - INFO - Epoch(train) [78][ 500/5005] lr: 1.0000e-03 eta: 5:37:39 time: 0.1722 data_time: 0.0033 loss: 0.9500 03/11 05:15:59 - mmengine - INFO - Epoch(train) [78][ 600/5005] lr: 1.0000e-03 eta: 5:37:22 time: 0.1734 data_time: 0.0027 loss: 0.6041 03/11 05:16:02 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:16:17 - mmengine - INFO - Epoch(train) [78][ 700/5005] lr: 1.0000e-03 eta: 5:37:04 time: 0.1724 data_time: 0.0032 loss: 0.7722 03/11 05:16:34 - mmengine - INFO - Epoch(train) [78][ 800/5005] lr: 1.0000e-03 eta: 5:36:46 time: 0.1730 data_time: 0.0028 loss: 0.8253 03/11 05:16:52 - mmengine - INFO - Epoch(train) [78][ 900/5005] lr: 1.0000e-03 eta: 5:36:28 time: 0.1713 data_time: 0.0029 loss: 0.9113 03/11 05:17:10 - mmengine - INFO - Epoch(train) [78][1000/5005] lr: 1.0000e-03 eta: 5:36:11 time: 0.1736 data_time: 0.0031 loss: 1.1442 03/11 05:17:28 - mmengine - INFO - Epoch(train) [78][1100/5005] lr: 1.0000e-03 eta: 5:35:53 time: 0.1731 data_time: 0.0028 loss: 1.0305 03/11 05:17:46 - mmengine - INFO - Epoch(train) [78][1200/5005] lr: 1.0000e-03 eta: 5:35:35 time: 0.1714 data_time: 0.0028 loss: 1.0425 03/11 05:18:03 - mmengine - INFO - Epoch(train) [78][1300/5005] lr: 1.0000e-03 eta: 5:35:17 time: 0.1729 data_time: 0.0029 loss: 1.0241 03/11 05:18:20 - mmengine - INFO - Epoch(train) [78][1400/5005] lr: 1.0000e-03 eta: 5:35:00 time: 0.1896 data_time: 0.0031 loss: 0.8416 03/11 05:18:38 - mmengine - INFO - Epoch(train) [78][1500/5005] lr: 1.0000e-03 eta: 5:34:42 time: 0.1708 data_time: 0.0028 loss: 0.8949 03/11 05:18:56 - mmengine - INFO - Epoch(train) [78][1600/5005] lr: 1.0000e-03 eta: 5:34:24 time: 0.1710 data_time: 0.0032 loss: 0.9906 03/11 05:18:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:19:13 - mmengine - INFO - Epoch(train) [78][1700/5005] lr: 1.0000e-03 eta: 5:34:06 time: 0.1719 data_time: 0.0029 loss: 0.9765 03/11 05:19:31 - mmengine - INFO - Epoch(train) [78][1800/5005] lr: 1.0000e-03 eta: 5:33:49 time: 0.1901 data_time: 0.0029 loss: 0.8731 03/11 05:19:49 - mmengine - INFO - Epoch(train) [78][1900/5005] lr: 1.0000e-03 eta: 5:33:31 time: 0.1728 data_time: 0.0027 loss: 1.1806 03/11 05:20:06 - mmengine - INFO - Epoch(train) [78][2000/5005] lr: 1.0000e-03 eta: 5:33:13 time: 0.1725 data_time: 0.0030 loss: 0.8448 03/11 05:20:24 - mmengine - INFO - Epoch(train) [78][2100/5005] lr: 1.0000e-03 eta: 5:32:56 time: 0.1727 data_time: 0.0031 loss: 1.0458 03/11 05:20:42 - mmengine - INFO - Epoch(train) [78][2200/5005] lr: 1.0000e-03 eta: 5:32:38 time: 0.1722 data_time: 0.0028 loss: 1.0141 03/11 05:21:00 - mmengine - INFO - Epoch(train) [78][2300/5005] lr: 1.0000e-03 eta: 5:32:20 time: 0.1691 data_time: 0.0028 loss: 0.9580 03/11 05:21:17 - mmengine - INFO - Epoch(train) [78][2400/5005] lr: 1.0000e-03 eta: 5:32:02 time: 0.1731 data_time: 0.0030 loss: 1.1753 03/11 05:21:35 - mmengine - INFO - Epoch(train) [78][2500/5005] lr: 1.0000e-03 eta: 5:31:45 time: 0.1712 data_time: 0.0031 loss: 0.9267 03/11 05:21:53 - mmengine - INFO - Epoch(train) [78][2600/5005] lr: 1.0000e-03 eta: 5:31:27 time: 0.1728 data_time: 0.0027 loss: 1.1051 03/11 05:21:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:22:10 - mmengine - INFO - Epoch(train) [78][2700/5005] lr: 1.0000e-03 eta: 5:31:09 time: 0.1716 data_time: 0.0030 loss: 0.9431 03/11 05:22:28 - mmengine - INFO - Epoch(train) [78][2800/5005] lr: 1.0000e-03 eta: 5:30:52 time: 0.1733 data_time: 0.0027 loss: 1.0070 03/11 05:22:46 - mmengine - INFO - Epoch(train) [78][2900/5005] lr: 1.0000e-03 eta: 5:30:34 time: 0.1728 data_time: 0.0032 loss: 1.0142 03/11 05:23:03 - mmengine - INFO - Epoch(train) [78][3000/5005] lr: 1.0000e-03 eta: 5:30:16 time: 0.1744 data_time: 0.0030 loss: 1.0187 03/11 05:23:21 - mmengine - INFO - Epoch(train) [78][3100/5005] lr: 1.0000e-03 eta: 5:29:58 time: 0.1895 data_time: 0.0029 loss: 0.9898 03/11 05:23:38 - mmengine - INFO - Epoch(train) [78][3200/5005] lr: 1.0000e-03 eta: 5:29:41 time: 0.1728 data_time: 0.0029 loss: 0.9927 03/11 05:23:56 - mmengine - INFO - Epoch(train) [78][3300/5005] lr: 1.0000e-03 eta: 5:29:23 time: 0.1717 data_time: 0.0029 loss: 0.9568 03/11 05:24:14 - mmengine - INFO - Epoch(train) [78][3400/5005] lr: 1.0000e-03 eta: 5:29:05 time: 0.1757 data_time: 0.0030 loss: 0.8433 03/11 05:24:31 - mmengine - INFO - Epoch(train) [78][3500/5005] lr: 1.0000e-03 eta: 5:28:47 time: 0.1727 data_time: 0.0031 loss: 0.8888 03/11 05:24:49 - mmengine - INFO - Epoch(train) [78][3600/5005] lr: 1.0000e-03 eta: 5:28:30 time: 0.1709 data_time: 0.0028 loss: 0.8579 03/11 05:24:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:25:06 - mmengine - INFO - Epoch(train) [78][3700/5005] lr: 1.0000e-03 eta: 5:28:12 time: 0.1738 data_time: 0.0031 loss: 1.0029 03/11 05:25:24 - mmengine - INFO - Epoch(train) [78][3800/5005] lr: 1.0000e-03 eta: 5:27:54 time: 0.1711 data_time: 0.0027 loss: 1.0367 03/11 05:25:41 - mmengine - INFO - Epoch(train) [78][3900/5005] lr: 1.0000e-03 eta: 5:27:36 time: 0.1718 data_time: 0.0033 loss: 0.8576 03/11 05:25:59 - mmengine - INFO - Epoch(train) [78][4000/5005] lr: 1.0000e-03 eta: 5:27:19 time: 0.1723 data_time: 0.0030 loss: 0.9996 03/11 05:26:17 - mmengine - INFO - Epoch(train) [78][4100/5005] lr: 1.0000e-03 eta: 5:27:01 time: 0.1729 data_time: 0.0031 loss: 0.9011 03/11 05:26:34 - mmengine - INFO - Epoch(train) [78][4200/5005] lr: 1.0000e-03 eta: 5:26:43 time: 0.1721 data_time: 0.0029 loss: 0.9264 03/11 05:26:51 - mmengine - INFO - Epoch(train) [78][4300/5005] lr: 1.0000e-03 eta: 5:26:25 time: 0.1710 data_time: 0.0030 loss: 0.9902 03/11 05:27:09 - mmengine - INFO - Epoch(train) [78][4400/5005] lr: 1.0000e-03 eta: 5:26:08 time: 0.1699 data_time: 0.0027 loss: 0.8369 03/11 05:27:27 - mmengine - INFO - Epoch(train) [78][4500/5005] lr: 1.0000e-03 eta: 5:25:50 time: 0.1703 data_time: 0.0027 loss: 1.0920 03/11 05:27:44 - mmengine - INFO - Epoch(train) [78][4600/5005] lr: 1.0000e-03 eta: 5:25:32 time: 0.1721 data_time: 0.0029 loss: 0.9111 03/11 05:27:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:28:02 - mmengine - INFO - Epoch(train) [78][4700/5005] lr: 1.0000e-03 eta: 5:25:14 time: 0.1750 data_time: 0.0031 loss: 0.9271 03/11 05:28:19 - mmengine - INFO - Epoch(train) [78][4800/5005] lr: 1.0000e-03 eta: 5:24:57 time: 0.1685 data_time: 0.0028 loss: 1.0493 03/11 05:28:36 - mmengine - INFO - Epoch(train) [78][4900/5005] lr: 1.0000e-03 eta: 5:24:39 time: 0.1694 data_time: 0.0029 loss: 0.9440 03/11 05:28:53 - mmengine - INFO - Epoch(train) [78][5000/5005] lr: 1.0000e-03 eta: 5:24:21 time: 0.1704 data_time: 0.0028 loss: 0.8451 03/11 05:28:54 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:28:59 - mmengine - INFO - Saving checkpoint at 78 epochs 03/11 05:29:20 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:00:19 time: 0.0197 data_time: 0.0004 03/11 05:29:34 - mmengine - INFO - Epoch(val) [78][196/196] accuracy/top1: 76.6340 accuracy/top5: 93.3520 03/11 05:30:12 - mmengine - INFO - Epoch(train) [79][ 100/5005] lr: 1.0000e-03 eta: 5:24:08 time: 0.1805 data_time: 0.0036 loss: 0.9937 03/11 05:30:30 - mmengine - INFO - Epoch(train) [79][ 200/5005] lr: 1.0000e-03 eta: 5:23:50 time: 0.1962 data_time: 0.0034 loss: 1.0832 03/11 05:30:48 - mmengine - INFO - Epoch(train) [79][ 300/5005] lr: 1.0000e-03 eta: 5:23:32 time: 0.1737 data_time: 0.0037 loss: 1.0433 03/11 05:31:06 - mmengine - INFO - Epoch(train) [79][ 400/5005] lr: 1.0000e-03 eta: 5:23:15 time: 0.1701 data_time: 0.0037 loss: 1.0292 03/11 05:31:24 - mmengine - INFO - Epoch(train) [79][ 500/5005] lr: 1.0000e-03 eta: 5:22:57 time: 0.1709 data_time: 0.0037 loss: 0.8960 03/11 05:31:41 - mmengine - INFO - Epoch(train) [79][ 600/5005] lr: 1.0000e-03 eta: 5:22:39 time: 0.1714 data_time: 0.0041 loss: 0.9531 03/11 05:31:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:31:59 - mmengine - INFO - Epoch(train) [79][ 700/5005] lr: 1.0000e-03 eta: 5:22:22 time: 0.1891 data_time: 0.0038 loss: 1.0297 03/11 05:32:17 - mmengine - INFO - Epoch(train) [79][ 800/5005] lr: 1.0000e-03 eta: 5:22:04 time: 0.1723 data_time: 0.0032 loss: 0.8839 03/11 05:32:34 - mmengine - INFO - Epoch(train) [79][ 900/5005] lr: 1.0000e-03 eta: 5:21:46 time: 0.1731 data_time: 0.0032 loss: 0.9394 03/11 05:32:52 - mmengine - INFO - Epoch(train) [79][1000/5005] lr: 1.0000e-03 eta: 5:21:28 time: 0.1706 data_time: 0.0032 loss: 1.0194 03/11 05:33:09 - mmengine - INFO - Epoch(train) [79][1100/5005] lr: 1.0000e-03 eta: 5:21:11 time: 0.1699 data_time: 0.0028 loss: 0.9927 03/11 05:33:27 - mmengine - INFO - Epoch(train) [79][1200/5005] lr: 1.0000e-03 eta: 5:20:53 time: 0.1735 data_time: 0.0031 loss: 0.8782 03/11 05:33:44 - mmengine - INFO - Epoch(train) [79][1300/5005] lr: 1.0000e-03 eta: 5:20:35 time: 0.1699 data_time: 0.0028 loss: 1.0345 03/11 05:34:02 - mmengine - INFO - Epoch(train) [79][1400/5005] lr: 1.0000e-03 eta: 5:20:17 time: 0.1718 data_time: 0.0032 loss: 1.0490 03/11 05:34:20 - mmengine - INFO - Epoch(train) [79][1500/5005] lr: 1.0000e-03 eta: 5:20:00 time: 0.1723 data_time: 0.0028 loss: 1.0006 03/11 05:34:37 - mmengine - INFO - Epoch(train) [79][1600/5005] lr: 1.0000e-03 eta: 5:19:42 time: 0.1718 data_time: 0.0028 loss: 0.8863 03/11 05:34:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:34:55 - mmengine - INFO - Epoch(train) [79][1700/5005] lr: 1.0000e-03 eta: 5:19:24 time: 0.1732 data_time: 0.0028 loss: 0.9278 03/11 05:35:12 - mmengine - INFO - Epoch(train) [79][1800/5005] lr: 1.0000e-03 eta: 5:19:06 time: 0.1700 data_time: 0.0028 loss: 0.9490 03/11 05:35:30 - mmengine - INFO - Epoch(train) [79][1900/5005] lr: 1.0000e-03 eta: 5:18:49 time: 0.1716 data_time: 0.0028 loss: 0.8279 03/11 05:35:48 - mmengine - INFO - Epoch(train) [79][2000/5005] lr: 1.0000e-03 eta: 5:18:31 time: 0.1730 data_time: 0.0029 loss: 0.8028 03/11 05:36:05 - mmengine - INFO - Epoch(train) [79][2100/5005] lr: 1.0000e-03 eta: 5:18:13 time: 0.1850 data_time: 0.0028 loss: 0.8448 03/11 05:36:23 - mmengine - INFO - Epoch(train) [79][2200/5005] lr: 1.0000e-03 eta: 5:17:55 time: 0.1749 data_time: 0.0030 loss: 0.9618 03/11 05:36:40 - mmengine - INFO - Epoch(train) [79][2300/5005] lr: 1.0000e-03 eta: 5:17:37 time: 0.1739 data_time: 0.0028 loss: 1.1684 03/11 05:36:58 - mmengine - INFO - Epoch(train) [79][2400/5005] lr: 1.0000e-03 eta: 5:17:20 time: 0.1703 data_time: 0.0031 loss: 1.0354 03/11 05:37:15 - mmengine - INFO - Epoch(train) [79][2500/5005] lr: 1.0000e-03 eta: 5:17:02 time: 0.1728 data_time: 0.0028 loss: 1.0291 03/11 05:37:33 - mmengine - INFO - Epoch(train) [79][2600/5005] lr: 1.0000e-03 eta: 5:16:44 time: 0.1714 data_time: 0.0028 loss: 1.0738 03/11 05:37:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:37:50 - mmengine - INFO - Epoch(train) [79][2700/5005] lr: 1.0000e-03 eta: 5:16:26 time: 0.1706 data_time: 0.0028 loss: 0.8994 03/11 05:38:08 - mmengine - INFO - Epoch(train) [79][2800/5005] lr: 1.0000e-03 eta: 5:16:09 time: 0.1712 data_time: 0.0029 loss: 0.9953 03/11 05:38:25 - mmengine - INFO - Epoch(train) [79][2900/5005] lr: 1.0000e-03 eta: 5:15:51 time: 0.1717 data_time: 0.0029 loss: 0.9474 03/11 05:38:43 - mmengine - INFO - Epoch(train) [79][3000/5005] lr: 1.0000e-03 eta: 5:15:33 time: 0.1711 data_time: 0.0031 loss: 1.0316 03/11 05:39:00 - mmengine - INFO - Epoch(train) [79][3100/5005] lr: 1.0000e-03 eta: 5:15:15 time: 0.1723 data_time: 0.0029 loss: 0.9894 03/11 05:39:18 - mmengine - INFO - Epoch(train) [79][3200/5005] lr: 1.0000e-03 eta: 5:14:58 time: 0.1743 data_time: 0.0029 loss: 0.9112 03/11 05:39:36 - mmengine - INFO - Epoch(train) [79][3300/5005] lr: 1.0000e-03 eta: 5:14:40 time: 0.1697 data_time: 0.0029 loss: 0.8870 03/11 05:39:53 - mmengine - INFO - Epoch(train) [79][3400/5005] lr: 1.0000e-03 eta: 5:14:22 time: 0.1747 data_time: 0.0032 loss: 0.8984 03/11 05:40:11 - mmengine - INFO - Epoch(train) [79][3500/5005] lr: 1.0000e-03 eta: 5:14:04 time: 0.1714 data_time: 0.0027 loss: 0.8834 03/11 05:40:28 - mmengine - INFO - Epoch(train) [79][3600/5005] lr: 1.0000e-03 eta: 5:13:47 time: 0.1874 data_time: 0.0028 loss: 1.0001 03/11 05:40:30 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:40:46 - mmengine - INFO - Epoch(train) [79][3700/5005] lr: 1.0000e-03 eta: 5:13:29 time: 0.1710 data_time: 0.0030 loss: 1.1084 03/11 05:41:03 - mmengine - INFO - Epoch(train) [79][3800/5005] lr: 1.0000e-03 eta: 5:13:11 time: 0.1720 data_time: 0.0028 loss: 1.1137 03/11 05:41:21 - mmengine - INFO - Epoch(train) [79][3900/5005] lr: 1.0000e-03 eta: 5:12:53 time: 0.1758 data_time: 0.0029 loss: 1.0199 03/11 05:41:39 - mmengine - INFO - Epoch(train) [79][4000/5005] lr: 1.0000e-03 eta: 5:12:36 time: 0.2125 data_time: 0.0028 loss: 0.8460 03/11 05:41:56 - mmengine - INFO - Epoch(train) [79][4100/5005] lr: 1.0000e-03 eta: 5:12:18 time: 0.1720 data_time: 0.0030 loss: 1.1909 03/11 05:42:13 - mmengine - INFO - Epoch(train) [79][4200/5005] lr: 1.0000e-03 eta: 5:12:00 time: 0.1734 data_time: 0.0028 loss: 0.9171 03/11 05:42:31 - mmengine - INFO - Epoch(train) [79][4300/5005] lr: 1.0000e-03 eta: 5:11:42 time: 0.1727 data_time: 0.0030 loss: 1.0752 03/11 05:42:49 - mmengine - INFO - Epoch(train) [79][4400/5005] lr: 1.0000e-03 eta: 5:11:25 time: 0.1730 data_time: 0.0030 loss: 0.9152 03/11 05:43:06 - mmengine - INFO - Epoch(train) [79][4500/5005] lr: 1.0000e-03 eta: 5:11:07 time: 0.1737 data_time: 0.0030 loss: 1.0737 03/11 05:43:24 - mmengine - INFO - Epoch(train) [79][4600/5005] lr: 1.0000e-03 eta: 5:10:49 time: 0.1891 data_time: 0.0028 loss: 0.8875 03/11 05:43:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:43:41 - mmengine - INFO - Epoch(train) [79][4700/5005] lr: 1.0000e-03 eta: 5:10:31 time: 0.1710 data_time: 0.0028 loss: 1.0614 03/11 05:43:58 - mmengine - INFO - Epoch(train) [79][4800/5005] lr: 1.0000e-03 eta: 5:10:14 time: 0.1708 data_time: 0.0031 loss: 0.9385 03/11 05:44:16 - mmengine - INFO - Epoch(train) [79][4900/5005] lr: 1.0000e-03 eta: 5:09:56 time: 0.1703 data_time: 0.0030 loss: 0.7961 03/11 05:44:33 - mmengine - INFO - Epoch(train) [79][5000/5005] lr: 1.0000e-03 eta: 5:09:38 time: 0.1706 data_time: 0.0029 loss: 1.1556 03/11 05:44:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:44:38 - mmengine - INFO - Saving checkpoint at 79 epochs 03/11 05:45:02 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:00:21 time: 0.0182 data_time: 0.0003 03/11 05:45:16 - mmengine - INFO - Epoch(val) [79][196/196] accuracy/top1: 76.4900 accuracy/top5: 93.2480 03/11 05:45:53 - mmengine - INFO - Epoch(train) [80][ 100/5005] lr: 1.0000e-03 eta: 5:09:24 time: 0.1716 data_time: 0.0034 loss: 0.9096 03/11 05:46:11 - mmengine - INFO - Epoch(train) [80][ 200/5005] lr: 1.0000e-03 eta: 5:09:06 time: 0.1716 data_time: 0.0035 loss: 1.0936 03/11 05:46:29 - mmengine - INFO - Epoch(train) [80][ 300/5005] lr: 1.0000e-03 eta: 5:08:49 time: 0.1770 data_time: 0.0058 loss: 0.8106 03/11 05:46:47 - mmengine - INFO - Epoch(train) [80][ 400/5005] lr: 1.0000e-03 eta: 5:08:31 time: 0.1727 data_time: 0.0029 loss: 0.8211 03/11 05:47:05 - mmengine - INFO - Epoch(train) [80][ 500/5005] lr: 1.0000e-03 eta: 5:08:14 time: 0.1729 data_time: 0.0032 loss: 0.9966 03/11 05:47:22 - mmengine - INFO - Epoch(train) [80][ 600/5005] lr: 1.0000e-03 eta: 5:07:56 time: 0.1738 data_time: 0.0035 loss: 0.9851 03/11 05:47:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:47:40 - mmengine - INFO - Epoch(train) [80][ 700/5005] lr: 1.0000e-03 eta: 5:07:38 time: 0.1717 data_time: 0.0028 loss: 0.9769 03/11 05:47:57 - mmengine - INFO - Epoch(train) [80][ 800/5005] lr: 1.0000e-03 eta: 5:07:20 time: 0.1727 data_time: 0.0031 loss: 1.0092 03/11 05:48:16 - mmengine - INFO - Epoch(train) [80][ 900/5005] lr: 1.0000e-03 eta: 5:07:03 time: 0.1725 data_time: 0.0033 loss: 0.9838 03/11 05:48:34 - mmengine - INFO - Epoch(train) [80][1000/5005] lr: 1.0000e-03 eta: 5:06:45 time: 0.1741 data_time: 0.0027 loss: 0.8826 03/11 05:48:51 - mmengine - INFO - Epoch(train) [80][1100/5005] lr: 1.0000e-03 eta: 5:06:27 time: 0.1722 data_time: 0.0031 loss: 0.9468 03/11 05:49:09 - mmengine - INFO - Epoch(train) [80][1200/5005] lr: 1.0000e-03 eta: 5:06:10 time: 0.1730 data_time: 0.0028 loss: 0.9539 03/11 05:49:26 - mmengine - INFO - Epoch(train) [80][1300/5005] lr: 1.0000e-03 eta: 5:05:52 time: 0.1703 data_time: 0.0032 loss: 0.9781 03/11 05:49:43 - mmengine - INFO - Epoch(train) [80][1400/5005] lr: 1.0000e-03 eta: 5:05:34 time: 0.1759 data_time: 0.0029 loss: 0.8869 03/11 05:50:01 - mmengine - INFO - Epoch(train) [80][1500/5005] lr: 1.0000e-03 eta: 5:05:16 time: 0.1714 data_time: 0.0032 loss: 0.8957 03/11 05:50:20 - mmengine - INFO - Epoch(train) [80][1600/5005] lr: 1.0000e-03 eta: 5:04:59 time: 0.1698 data_time: 0.0031 loss: 0.8655 03/11 05:50:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:50:37 - mmengine - INFO - Epoch(train) [80][1700/5005] lr: 1.0000e-03 eta: 5:04:41 time: 0.1710 data_time: 0.0030 loss: 0.8749 03/11 05:50:55 - mmengine - INFO - Epoch(train) [80][1800/5005] lr: 1.0000e-03 eta: 5:04:23 time: 0.1720 data_time: 0.0031 loss: 1.0674 03/11 05:51:12 - mmengine - INFO - Epoch(train) [80][1900/5005] lr: 1.0000e-03 eta: 5:04:05 time: 0.1722 data_time: 0.0031 loss: 0.9373 03/11 05:51:29 - mmengine - INFO - Epoch(train) [80][2000/5005] lr: 1.0000e-03 eta: 5:03:48 time: 0.1713 data_time: 0.0031 loss: 0.9248 03/11 05:51:47 - mmengine - INFO - Epoch(train) [80][2100/5005] lr: 1.0000e-03 eta: 5:03:30 time: 0.2186 data_time: 0.0032 loss: 0.9740 03/11 05:52:05 - mmengine - INFO - Epoch(train) [80][2200/5005] lr: 1.0000e-03 eta: 5:03:12 time: 0.1912 data_time: 0.0030 loss: 0.9523 03/11 05:52:23 - mmengine - INFO - Epoch(train) [80][2300/5005] lr: 1.0000e-03 eta: 5:02:55 time: 0.1739 data_time: 0.0033 loss: 0.8769 03/11 05:52:40 - mmengine - INFO - Epoch(train) [80][2400/5005] lr: 1.0000e-03 eta: 5:02:37 time: 0.1728 data_time: 0.0033 loss: 0.9550 03/11 05:52:57 - mmengine - INFO - Epoch(train) [80][2500/5005] lr: 1.0000e-03 eta: 5:02:19 time: 0.1695 data_time: 0.0030 loss: 0.9804 03/11 05:53:15 - mmengine - INFO - Epoch(train) [80][2600/5005] lr: 1.0000e-03 eta: 5:02:01 time: 0.1702 data_time: 0.0030 loss: 0.8815 03/11 05:53:16 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:53:33 - mmengine - INFO - Epoch(train) [80][2700/5005] lr: 1.0000e-03 eta: 5:01:43 time: 0.1742 data_time: 0.0028 loss: 0.8445 03/11 05:53:51 - mmengine - INFO - Epoch(train) [80][2800/5005] lr: 1.0000e-03 eta: 5:01:26 time: 0.1745 data_time: 0.0028 loss: 0.8470 03/11 05:54:08 - mmengine - INFO - Epoch(train) [80][2900/5005] lr: 1.0000e-03 eta: 5:01:08 time: 0.1726 data_time: 0.0029 loss: 0.8600 03/11 05:54:26 - mmengine - INFO - Epoch(train) [80][3000/5005] lr: 1.0000e-03 eta: 5:00:50 time: 0.1748 data_time: 0.0029 loss: 0.8126 03/11 05:54:43 - mmengine - INFO - Epoch(train) [80][3100/5005] lr: 1.0000e-03 eta: 5:00:32 time: 0.1707 data_time: 0.0031 loss: 0.9780 03/11 05:55:01 - mmengine - INFO - Epoch(train) [80][3200/5005] lr: 1.0000e-03 eta: 5:00:15 time: 0.1712 data_time: 0.0031 loss: 0.8287 03/11 05:55:18 - mmengine - INFO - Epoch(train) [80][3300/5005] lr: 1.0000e-03 eta: 4:59:57 time: 0.1694 data_time: 0.0029 loss: 1.0844 03/11 05:55:36 - mmengine - INFO - Epoch(train) [80][3400/5005] lr: 1.0000e-03 eta: 4:59:39 time: 0.1704 data_time: 0.0030 loss: 0.9513 03/11 05:55:54 - mmengine - INFO - Epoch(train) [80][3500/5005] lr: 1.0000e-03 eta: 4:59:22 time: 0.1720 data_time: 0.0028 loss: 0.9924 03/11 05:56:11 - mmengine - INFO - Epoch(train) [80][3600/5005] lr: 1.0000e-03 eta: 4:59:04 time: 0.1731 data_time: 0.0028 loss: 0.9225 03/11 05:56:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:56:28 - mmengine - INFO - Epoch(train) [80][3700/5005] lr: 1.0000e-03 eta: 4:58:46 time: 0.1723 data_time: 0.0031 loss: 1.0288 03/11 05:56:46 - mmengine - INFO - Epoch(train) [80][3800/5005] lr: 1.0000e-03 eta: 4:58:28 time: 0.1713 data_time: 0.0028 loss: 0.8620 03/11 05:57:04 - mmengine - INFO - Epoch(train) [80][3900/5005] lr: 1.0000e-03 eta: 4:58:11 time: 0.1715 data_time: 0.0028 loss: 1.1759 03/11 05:57:21 - mmengine - INFO - Epoch(train) [80][4000/5005] lr: 1.0000e-03 eta: 4:57:53 time: 0.1731 data_time: 0.0028 loss: 1.0565 03/11 05:57:39 - mmengine - INFO - Epoch(train) [80][4100/5005] lr: 1.0000e-03 eta: 4:57:35 time: 0.1691 data_time: 0.0027 loss: 0.9025 03/11 05:57:56 - mmengine - INFO - Epoch(train) [80][4200/5005] lr: 1.0000e-03 eta: 4:57:17 time: 0.1734 data_time: 0.0030 loss: 0.9069 03/11 05:58:14 - mmengine - INFO - Epoch(train) [80][4300/5005] lr: 1.0000e-03 eta: 4:57:00 time: 0.1704 data_time: 0.0028 loss: 0.9301 03/11 05:58:31 - mmengine - INFO - Epoch(train) [80][4400/5005] lr: 1.0000e-03 eta: 4:56:42 time: 0.1723 data_time: 0.0032 loss: 0.9820 03/11 05:58:49 - mmengine - INFO - Epoch(train) [80][4500/5005] lr: 1.0000e-03 eta: 4:56:24 time: 0.1712 data_time: 0.0027 loss: 0.8793 03/11 05:59:06 - mmengine - INFO - Epoch(train) [80][4600/5005] lr: 1.0000e-03 eta: 4:56:06 time: 0.1704 data_time: 0.0027 loss: 0.8851 03/11 05:59:07 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 05:59:24 - mmengine - INFO - Epoch(train) [80][4700/5005] lr: 1.0000e-03 eta: 4:55:48 time: 0.1735 data_time: 0.0028 loss: 1.0478 03/11 05:59:41 - mmengine - INFO - Epoch(train) [80][4800/5005] lr: 1.0000e-03 eta: 4:55:31 time: 0.1722 data_time: 0.0028 loss: 0.9390 03/11 05:59:58 - mmengine - INFO - Epoch(train) [80][4900/5005] lr: 1.0000e-03 eta: 4:55:13 time: 0.1737 data_time: 0.0028 loss: 1.1219 03/11 06:00:16 - mmengine - INFO - Epoch(train) [80][5000/5005] lr: 1.0000e-03 eta: 4:54:55 time: 0.1705 data_time: 0.0034 loss: 0.9706 03/11 06:00:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:00:22 - mmengine - INFO - Saving checkpoint at 80 epochs 03/11 06:00:45 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:00:21 time: 0.0145 data_time: 0.0002 03/11 06:00:59 - mmengine - INFO - Epoch(val) [80][196/196] accuracy/top1: 76.5580 accuracy/top5: 93.2340 03/11 06:01:37 - mmengine - INFO - Epoch(train) [81][ 100/5005] lr: 1.0000e-03 eta: 4:54:41 time: 0.1724 data_time: 0.0045 loss: 1.1290 03/11 06:01:54 - mmengine - INFO - Epoch(train) [81][ 200/5005] lr: 1.0000e-03 eta: 4:54:24 time: 0.1745 data_time: 0.0031 loss: 0.9027 03/11 06:02:13 - mmengine - INFO - Epoch(train) [81][ 300/5005] lr: 1.0000e-03 eta: 4:54:06 time: 0.1995 data_time: 0.0030 loss: 0.8546 03/11 06:02:31 - mmengine - INFO - Epoch(train) [81][ 400/5005] lr: 1.0000e-03 eta: 4:53:48 time: 0.1714 data_time: 0.0032 loss: 1.1014 03/11 06:02:48 - mmengine - INFO - Epoch(train) [81][ 500/5005] lr: 1.0000e-03 eta: 4:53:31 time: 0.1726 data_time: 0.0028 loss: 0.9184 03/11 06:03:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:03:06 - mmengine - INFO - Epoch(train) [81][ 600/5005] lr: 1.0000e-03 eta: 4:53:13 time: 0.1727 data_time: 0.0030 loss: 0.8256 03/11 06:03:23 - mmengine - INFO - Epoch(train) [81][ 700/5005] lr: 1.0000e-03 eta: 4:52:55 time: 0.1705 data_time: 0.0028 loss: 0.8679 03/11 06:03:41 - mmengine - INFO - Epoch(train) [81][ 800/5005] lr: 1.0000e-03 eta: 4:52:37 time: 0.1712 data_time: 0.0029 loss: 0.8901 03/11 06:03:59 - mmengine - INFO - Epoch(train) [81][ 900/5005] lr: 1.0000e-03 eta: 4:52:20 time: 0.1720 data_time: 0.0030 loss: 0.9816 03/11 06:04:17 - mmengine - INFO - Epoch(train) [81][1000/5005] lr: 1.0000e-03 eta: 4:52:02 time: 0.1688 data_time: 0.0029 loss: 0.8212 03/11 06:04:35 - mmengine - INFO - Epoch(train) [81][1100/5005] lr: 1.0000e-03 eta: 4:51:45 time: 0.1711 data_time: 0.0031 loss: 0.8660 03/11 06:04:52 - mmengine - INFO - Epoch(train) [81][1200/5005] lr: 1.0000e-03 eta: 4:51:27 time: 0.1735 data_time: 0.0029 loss: 0.8672 03/11 06:05:10 - mmengine - INFO - Epoch(train) [81][1300/5005] lr: 1.0000e-03 eta: 4:51:09 time: 0.1746 data_time: 0.0031 loss: 0.9546 03/11 06:05:28 - mmengine - INFO - Epoch(train) [81][1400/5005] lr: 1.0000e-03 eta: 4:50:51 time: 0.1892 data_time: 0.0028 loss: 1.0058 03/11 06:05:45 - mmengine - INFO - Epoch(train) [81][1500/5005] lr: 1.0000e-03 eta: 4:50:34 time: 0.1713 data_time: 0.0031 loss: 0.9205 03/11 06:06:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:06:03 - mmengine - INFO - Epoch(train) [81][1600/5005] lr: 1.0000e-03 eta: 4:50:16 time: 0.1697 data_time: 0.0031 loss: 0.7985 03/11 06:06:20 - mmengine - INFO - Epoch(train) [81][1700/5005] lr: 1.0000e-03 eta: 4:49:58 time: 0.1724 data_time: 0.0028 loss: 1.0909 03/11 06:06:38 - mmengine - INFO - Epoch(train) [81][1800/5005] lr: 1.0000e-03 eta: 4:49:40 time: 0.1717 data_time: 0.0029 loss: 0.9893 03/11 06:06:55 - mmengine - INFO - Epoch(train) [81][1900/5005] lr: 1.0000e-03 eta: 4:49:23 time: 0.1727 data_time: 0.0029 loss: 1.0842 03/11 06:07:13 - mmengine - INFO - Epoch(train) [81][2000/5005] lr: 1.0000e-03 eta: 4:49:05 time: 0.1702 data_time: 0.0029 loss: 1.0791 03/11 06:07:31 - mmengine - INFO - Epoch(train) [81][2100/5005] lr: 1.0000e-03 eta: 4:48:47 time: 0.1730 data_time: 0.0029 loss: 0.8289 03/11 06:07:48 - mmengine - INFO - Epoch(train) [81][2200/5005] lr: 1.0000e-03 eta: 4:48:29 time: 0.1729 data_time: 0.0031 loss: 0.8693 03/11 06:08:05 - mmengine - INFO - Epoch(train) [81][2300/5005] lr: 1.0000e-03 eta: 4:48:12 time: 0.1713 data_time: 0.0030 loss: 0.7830 03/11 06:08:24 - mmengine - INFO - Epoch(train) [81][2400/5005] lr: 1.0000e-03 eta: 4:47:54 time: 0.1710 data_time: 0.0028 loss: 0.7746 03/11 06:08:41 - mmengine - INFO - Epoch(train) [81][2500/5005] lr: 1.0000e-03 eta: 4:47:36 time: 0.1903 data_time: 0.0028 loss: 0.9638 03/11 06:08:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:08:58 - mmengine - INFO - Epoch(train) [81][2600/5005] lr: 1.0000e-03 eta: 4:47:18 time: 0.1720 data_time: 0.0034 loss: 1.0447 03/11 06:09:16 - mmengine - INFO - Epoch(train) [81][2700/5005] lr: 1.0000e-03 eta: 4:47:01 time: 0.1693 data_time: 0.0029 loss: 0.8719 03/11 06:09:34 - mmengine - INFO - Epoch(train) [81][2800/5005] lr: 1.0000e-03 eta: 4:46:43 time: 0.1725 data_time: 0.0029 loss: 0.9919 03/11 06:09:51 - mmengine - INFO - Epoch(train) [81][2900/5005] lr: 1.0000e-03 eta: 4:46:25 time: 0.1721 data_time: 0.0027 loss: 0.9217 03/11 06:10:09 - mmengine - INFO - Epoch(train) [81][3000/5005] lr: 1.0000e-03 eta: 4:46:07 time: 0.1722 data_time: 0.0028 loss: 0.9659 03/11 06:10:27 - mmengine - INFO - Epoch(train) [81][3100/5005] lr: 1.0000e-03 eta: 4:45:50 time: 0.1740 data_time: 0.0030 loss: 1.0693 03/11 06:10:44 - mmengine - INFO - Epoch(train) [81][3200/5005] lr: 1.0000e-03 eta: 4:45:32 time: 0.1708 data_time: 0.0031 loss: 0.9797 03/11 06:11:02 - mmengine - INFO - Epoch(train) [81][3300/5005] lr: 1.0000e-03 eta: 4:45:14 time: 0.1738 data_time: 0.0028 loss: 1.1167 03/11 06:11:19 - mmengine - INFO - Epoch(train) [81][3400/5005] lr: 1.0000e-03 eta: 4:44:56 time: 0.1736 data_time: 0.0029 loss: 0.9306 03/11 06:11:37 - mmengine - INFO - Epoch(train) [81][3500/5005] lr: 1.0000e-03 eta: 4:44:39 time: 0.1722 data_time: 0.0030 loss: 0.9109 03/11 06:11:54 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:11:54 - mmengine - INFO - Epoch(train) [81][3600/5005] lr: 1.0000e-03 eta: 4:44:21 time: 0.1719 data_time: 0.0030 loss: 1.0687 03/11 06:12:12 - mmengine - INFO - Epoch(train) [81][3700/5005] lr: 1.0000e-03 eta: 4:44:03 time: 0.1722 data_time: 0.0028 loss: 0.8285 03/11 06:12:30 - mmengine - INFO - Epoch(train) [81][3800/5005] lr: 1.0000e-03 eta: 4:43:46 time: 0.1689 data_time: 0.0030 loss: 0.8064 03/11 06:12:47 - mmengine - INFO - Epoch(train) [81][3900/5005] lr: 1.0000e-03 eta: 4:43:28 time: 0.1724 data_time: 0.0032 loss: 1.2129 03/11 06:13:05 - mmengine - INFO - Epoch(train) [81][4000/5005] lr: 1.0000e-03 eta: 4:43:10 time: 0.1703 data_time: 0.0032 loss: 1.1273 03/11 06:13:22 - mmengine - INFO - Epoch(train) [81][4100/5005] lr: 1.0000e-03 eta: 4:42:52 time: 0.1720 data_time: 0.0032 loss: 0.9440 03/11 06:13:40 - mmengine - INFO - Epoch(train) [81][4200/5005] lr: 1.0000e-03 eta: 4:42:34 time: 0.1724 data_time: 0.0029 loss: 1.0174 03/11 06:13:58 - mmengine - INFO - Epoch(train) [81][4300/5005] lr: 1.0000e-03 eta: 4:42:17 time: 0.1735 data_time: 0.0030 loss: 0.9046 03/11 06:14:16 - mmengine - INFO - Epoch(train) [81][4400/5005] lr: 1.0000e-03 eta: 4:41:59 time: 0.1725 data_time: 0.0031 loss: 0.9201 03/11 06:14:33 - mmengine - INFO - Epoch(train) [81][4500/5005] lr: 1.0000e-03 eta: 4:41:41 time: 0.1720 data_time: 0.0029 loss: 0.8137 03/11 06:14:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:14:51 - mmengine - INFO - Epoch(train) [81][4600/5005] lr: 1.0000e-03 eta: 4:41:24 time: 0.1732 data_time: 0.0030 loss: 1.0058 03/11 06:15:08 - mmengine - INFO - Epoch(train) [81][4700/5005] lr: 1.0000e-03 eta: 4:41:06 time: 0.1715 data_time: 0.0029 loss: 0.8380 03/11 06:15:25 - mmengine - INFO - Epoch(train) [81][4800/5005] lr: 1.0000e-03 eta: 4:40:48 time: 0.1693 data_time: 0.0028 loss: 1.0816 03/11 06:15:43 - mmengine - INFO - Epoch(train) [81][4900/5005] lr: 1.0000e-03 eta: 4:40:30 time: 0.1704 data_time: 0.0027 loss: 1.1758 03/11 06:16:00 - mmengine - INFO - Epoch(train) [81][5000/5005] lr: 1.0000e-03 eta: 4:40:12 time: 0.1693 data_time: 0.0029 loss: 0.8288 03/11 06:16:01 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:16:05 - mmengine - INFO - Saving checkpoint at 81 epochs 03/11 06:16:27 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:00:20 time: 0.0163 data_time: 0.0006 03/11 06:16:42 - mmengine - INFO - Epoch(val) [81][196/196] accuracy/top1: 76.5900 accuracy/top5: 93.2020 03/11 06:17:20 - mmengine - INFO - Epoch(train) [82][ 100/5005] lr: 1.0000e-03 eta: 4:39:58 time: 0.1699 data_time: 0.0037 loss: 1.0499 03/11 06:17:37 - mmengine - INFO - Epoch(train) [82][ 200/5005] lr: 1.0000e-03 eta: 4:39:41 time: 0.1717 data_time: 0.0030 loss: 1.1010 03/11 06:17:55 - mmengine - INFO - Epoch(train) [82][ 300/5005] lr: 1.0000e-03 eta: 4:39:23 time: 0.1709 data_time: 0.0034 loss: 1.0139 03/11 06:18:13 - mmengine - INFO - Epoch(train) [82][ 400/5005] lr: 1.0000e-03 eta: 4:39:05 time: 0.1726 data_time: 0.0030 loss: 0.9466 03/11 06:18:31 - mmengine - INFO - Epoch(train) [82][ 500/5005] lr: 1.0000e-03 eta: 4:38:47 time: 0.1739 data_time: 0.0029 loss: 0.8771 03/11 06:18:47 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:18:49 - mmengine - INFO - Epoch(train) [82][ 600/5005] lr: 1.0000e-03 eta: 4:38:30 time: 0.1990 data_time: 0.0033 loss: 0.9255 03/11 06:19:07 - mmengine - INFO - Epoch(train) [82][ 700/5005] lr: 1.0000e-03 eta: 4:38:12 time: 0.1719 data_time: 0.0031 loss: 0.8211 03/11 06:19:24 - mmengine - INFO - Epoch(train) [82][ 800/5005] lr: 1.0000e-03 eta: 4:37:54 time: 0.1720 data_time: 0.0031 loss: 0.9013 03/11 06:19:42 - mmengine - INFO - Epoch(train) [82][ 900/5005] lr: 1.0000e-03 eta: 4:37:37 time: 0.1926 data_time: 0.0034 loss: 0.9268 03/11 06:20:00 - mmengine - INFO - Epoch(train) [82][1000/5005] lr: 1.0000e-03 eta: 4:37:19 time: 0.1697 data_time: 0.0031 loss: 0.7733 03/11 06:20:17 - mmengine - INFO - Epoch(train) [82][1100/5005] lr: 1.0000e-03 eta: 4:37:01 time: 0.1733 data_time: 0.0031 loss: 0.9792 03/11 06:20:35 - mmengine - INFO - Epoch(train) [82][1200/5005] lr: 1.0000e-03 eta: 4:36:44 time: 0.1712 data_time: 0.0031 loss: 0.8684 03/11 06:20:53 - mmengine - INFO - Epoch(train) [82][1300/5005] lr: 1.0000e-03 eta: 4:36:26 time: 0.1716 data_time: 0.0031 loss: 0.9463 03/11 06:21:10 - mmengine - INFO - Epoch(train) [82][1400/5005] lr: 1.0000e-03 eta: 4:36:08 time: 0.1722 data_time: 0.0027 loss: 0.9927 03/11 06:21:28 - mmengine - INFO - Epoch(train) [82][1500/5005] lr: 1.0000e-03 eta: 4:35:50 time: 0.1736 data_time: 0.0030 loss: 0.8308 03/11 06:21:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:21:45 - mmengine - INFO - Epoch(train) [82][1600/5005] lr: 1.0000e-03 eta: 4:35:33 time: 0.1729 data_time: 0.0029 loss: 0.8807 03/11 06:22:03 - mmengine - INFO - Epoch(train) [82][1700/5005] lr: 1.0000e-03 eta: 4:35:15 time: 0.1715 data_time: 0.0030 loss: 0.8755 03/11 06:22:20 - mmengine - INFO - Epoch(train) [82][1800/5005] lr: 1.0000e-03 eta: 4:34:57 time: 0.1709 data_time: 0.0030 loss: 1.0373 03/11 06:22:38 - mmengine - INFO - Epoch(train) [82][1900/5005] lr: 1.0000e-03 eta: 4:34:39 time: 0.1721 data_time: 0.0028 loss: 1.0584 03/11 06:22:55 - mmengine - INFO - Epoch(train) [82][2000/5005] lr: 1.0000e-03 eta: 4:34:22 time: 0.1714 data_time: 0.0029 loss: 0.9367 03/11 06:23:13 - mmengine - INFO - Epoch(train) [82][2100/5005] lr: 1.0000e-03 eta: 4:34:04 time: 0.1710 data_time: 0.0029 loss: 0.8852 03/11 06:23:31 - mmengine - INFO - Epoch(train) [82][2200/5005] lr: 1.0000e-03 eta: 4:33:46 time: 0.1707 data_time: 0.0029 loss: 0.8741 03/11 06:23:48 - mmengine - INFO - Epoch(train) [82][2300/5005] lr: 1.0000e-03 eta: 4:33:28 time: 0.1719 data_time: 0.0028 loss: 1.0258 03/11 06:24:06 - mmengine - INFO - Epoch(train) [82][2400/5005] lr: 1.0000e-03 eta: 4:33:11 time: 0.1709 data_time: 0.0029 loss: 0.8215 03/11 06:24:23 - mmengine - INFO - Epoch(train) [82][2500/5005] lr: 1.0000e-03 eta: 4:32:53 time: 0.1716 data_time: 0.0030 loss: 0.8701 03/11 06:24:40 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:24:41 - mmengine - INFO - Epoch(train) [82][2600/5005] lr: 1.0000e-03 eta: 4:32:35 time: 0.1721 data_time: 0.0029 loss: 1.1228 03/11 06:24:58 - mmengine - INFO - Epoch(train) [82][2700/5005] lr: 1.0000e-03 eta: 4:32:17 time: 0.1701 data_time: 0.0030 loss: 0.8322 03/11 06:25:16 - mmengine - INFO - Epoch(train) [82][2800/5005] lr: 1.0000e-03 eta: 4:32:00 time: 0.1737 data_time: 0.0030 loss: 0.8951 03/11 06:25:34 - mmengine - INFO - Epoch(train) [82][2900/5005] lr: 1.0000e-03 eta: 4:31:42 time: 0.1696 data_time: 0.0028 loss: 0.9432 03/11 06:25:51 - mmengine - INFO - Epoch(train) [82][3000/5005] lr: 1.0000e-03 eta: 4:31:24 time: 0.1731 data_time: 0.0029 loss: 0.9896 03/11 06:26:09 - mmengine - INFO - Epoch(train) [82][3100/5005] lr: 1.0000e-03 eta: 4:31:06 time: 0.1722 data_time: 0.0035 loss: 0.9582 03/11 06:26:26 - mmengine - INFO - Epoch(train) [82][3200/5005] lr: 1.0000e-03 eta: 4:30:49 time: 0.1702 data_time: 0.0029 loss: 0.9594 03/11 06:26:44 - mmengine - INFO - Epoch(train) [82][3300/5005] lr: 1.0000e-03 eta: 4:30:31 time: 0.1739 data_time: 0.0028 loss: 1.0956 03/11 06:27:02 - mmengine - INFO - Epoch(train) [82][3400/5005] lr: 1.0000e-03 eta: 4:30:13 time: 0.1725 data_time: 0.0031 loss: 0.7818 03/11 06:27:19 - mmengine - INFO - Epoch(train) [82][3500/5005] lr: 1.0000e-03 eta: 4:29:55 time: 0.1717 data_time: 0.0030 loss: 0.8865 03/11 06:27:35 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:27:36 - mmengine - INFO - Epoch(train) [82][3600/5005] lr: 1.0000e-03 eta: 4:29:38 time: 0.1715 data_time: 0.0030 loss: 0.7210 03/11 06:27:54 - mmengine - INFO - Epoch(train) [82][3700/5005] lr: 1.0000e-03 eta: 4:29:20 time: 0.1713 data_time: 0.0030 loss: 0.9710 03/11 06:28:11 - mmengine - INFO - Epoch(train) [82][3800/5005] lr: 1.0000e-03 eta: 4:29:02 time: 0.1714 data_time: 0.0030 loss: 0.9904 03/11 06:28:29 - mmengine - INFO - Epoch(train) [82][3900/5005] lr: 1.0000e-03 eta: 4:28:44 time: 0.1704 data_time: 0.0030 loss: 0.9496 03/11 06:28:47 - mmengine - INFO - Epoch(train) [82][4000/5005] lr: 1.0000e-03 eta: 4:28:27 time: 0.1715 data_time: 0.0028 loss: 0.9689 03/11 06:29:04 - mmengine - INFO - Epoch(train) [82][4100/5005] lr: 1.0000e-03 eta: 4:28:09 time: 0.1713 data_time: 0.0033 loss: 0.9719 03/11 06:29:22 - mmengine - INFO - Epoch(train) [82][4200/5005] lr: 1.0000e-03 eta: 4:27:51 time: 0.1878 data_time: 0.0028 loss: 0.8663 03/11 06:29:39 - mmengine - INFO - Epoch(train) [82][4300/5005] lr: 1.0000e-03 eta: 4:27:33 time: 0.1715 data_time: 0.0030 loss: 1.0337 03/11 06:29:57 - mmengine - INFO - Epoch(train) [82][4400/5005] lr: 1.0000e-03 eta: 4:27:16 time: 0.1715 data_time: 0.0029 loss: 1.0218 03/11 06:30:14 - mmengine - INFO - Epoch(train) [82][4500/5005] lr: 1.0000e-03 eta: 4:26:58 time: 0.1705 data_time: 0.0031 loss: 0.8434 03/11 06:30:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:30:32 - mmengine - INFO - Epoch(train) [82][4600/5005] lr: 1.0000e-03 eta: 4:26:40 time: 0.1713 data_time: 0.0029 loss: 0.9236 03/11 06:30:50 - mmengine - INFO - Epoch(train) [82][4700/5005] lr: 1.0000e-03 eta: 4:26:23 time: 0.1725 data_time: 0.0028 loss: 0.9544 03/11 06:31:07 - mmengine - INFO - Epoch(train) [82][4800/5005] lr: 1.0000e-03 eta: 4:26:05 time: 0.1713 data_time: 0.0028 loss: 0.8797 03/11 06:31:24 - mmengine - INFO - Epoch(train) [82][4900/5005] lr: 1.0000e-03 eta: 4:25:47 time: 0.1678 data_time: 0.0034 loss: 0.9122 03/11 06:31:42 - mmengine - INFO - Epoch(train) [82][5000/5005] lr: 1.0000e-03 eta: 4:25:29 time: 0.1688 data_time: 0.0029 loss: 1.0970 03/11 06:31:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:31:47 - mmengine - INFO - Saving checkpoint at 82 epochs 03/11 06:32:09 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:00:19 time: 0.0168 data_time: 0.0006 03/11 06:32:24 - mmengine - INFO - Epoch(val) [82][196/196] accuracy/top1: 76.4800 accuracy/top5: 93.2640 03/11 06:33:02 - mmengine - INFO - Epoch(train) [83][ 100/5005] lr: 1.0000e-03 eta: 4:25:15 time: 0.1952 data_time: 0.0034 loss: 0.8659 03/11 06:33:20 - mmengine - INFO - Epoch(train) [83][ 200/5005] lr: 1.0000e-03 eta: 4:24:57 time: 0.1755 data_time: 0.0031 loss: 0.9871 03/11 06:33:38 - mmengine - INFO - Epoch(train) [83][ 300/5005] lr: 1.0000e-03 eta: 4:24:39 time: 0.1720 data_time: 0.0032 loss: 0.8955 03/11 06:33:56 - mmengine - INFO - Epoch(train) [83][ 400/5005] lr: 1.0000e-03 eta: 4:24:22 time: 0.1718 data_time: 0.0032 loss: 1.0132 03/11 06:34:13 - mmengine - INFO - Epoch(train) [83][ 500/5005] lr: 1.0000e-03 eta: 4:24:04 time: 0.1712 data_time: 0.0029 loss: 0.9587 03/11 06:34:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:34:30 - mmengine - INFO - Epoch(train) [83][ 600/5005] lr: 1.0000e-03 eta: 4:23:46 time: 0.1722 data_time: 0.0031 loss: 0.9691 03/11 06:34:49 - mmengine - INFO - Epoch(train) [83][ 700/5005] lr: 1.0000e-03 eta: 4:23:29 time: 0.1725 data_time: 0.0032 loss: 0.9279 03/11 06:35:07 - mmengine - INFO - Epoch(train) [83][ 800/5005] lr: 1.0000e-03 eta: 4:23:11 time: 0.1716 data_time: 0.0029 loss: 0.9313 03/11 06:35:24 - mmengine - INFO - Epoch(train) [83][ 900/5005] lr: 1.0000e-03 eta: 4:22:53 time: 0.1720 data_time: 0.0034 loss: 0.9581 03/11 06:35:42 - mmengine - INFO - Epoch(train) [83][1000/5005] lr: 1.0000e-03 eta: 4:22:36 time: 0.1734 data_time: 0.0031 loss: 0.9570 03/11 06:35:59 - mmengine - INFO - Epoch(train) [83][1100/5005] lr: 1.0000e-03 eta: 4:22:18 time: 0.1720 data_time: 0.0030 loss: 1.0081 03/11 06:36:17 - mmengine - INFO - Epoch(train) [83][1200/5005] lr: 1.0000e-03 eta: 4:22:00 time: 0.1725 data_time: 0.0030 loss: 0.9647 03/11 06:36:35 - mmengine - INFO - Epoch(train) [83][1300/5005] lr: 1.0000e-03 eta: 4:21:42 time: 0.1938 data_time: 0.0032 loss: 0.9041 03/11 06:36:53 - mmengine - INFO - Epoch(train) [83][1400/5005] lr: 1.0000e-03 eta: 4:21:25 time: 0.1844 data_time: 0.0032 loss: 0.7904 03/11 06:37:10 - mmengine - INFO - Epoch(train) [83][1500/5005] lr: 1.0000e-03 eta: 4:21:07 time: 0.1724 data_time: 0.0035 loss: 0.8575 03/11 06:37:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:37:28 - mmengine - INFO - Epoch(train) [83][1600/5005] lr: 1.0000e-03 eta: 4:20:49 time: 0.1714 data_time: 0.0031 loss: 0.8829 03/11 06:37:46 - mmengine - INFO - Epoch(train) [83][1700/5005] lr: 1.0000e-03 eta: 4:20:31 time: 0.1705 data_time: 0.0030 loss: 0.8186 03/11 06:38:03 - mmengine - INFO - Epoch(train) [83][1800/5005] lr: 1.0000e-03 eta: 4:20:14 time: 0.1740 data_time: 0.0034 loss: 0.8433 03/11 06:38:21 - mmengine - INFO - Epoch(train) [83][1900/5005] lr: 1.0000e-03 eta: 4:19:56 time: 0.1708 data_time: 0.0030 loss: 1.0085 03/11 06:38:39 - mmengine - INFO - Epoch(train) [83][2000/5005] lr: 1.0000e-03 eta: 4:19:38 time: 0.1731 data_time: 0.0030 loss: 0.9477 03/11 06:38:56 - mmengine - INFO - Epoch(train) [83][2100/5005] lr: 1.0000e-03 eta: 4:19:21 time: 0.1710 data_time: 0.0033 loss: 0.8269 03/11 06:39:14 - mmengine - INFO - Epoch(train) [83][2200/5005] lr: 1.0000e-03 eta: 4:19:03 time: 0.1708 data_time: 0.0031 loss: 0.8912 03/11 06:39:31 - mmengine - INFO - Epoch(train) [83][2300/5005] lr: 1.0000e-03 eta: 4:18:45 time: 0.1707 data_time: 0.0034 loss: 0.8502 03/11 06:39:49 - mmengine - INFO - Epoch(train) [83][2400/5005] lr: 1.0000e-03 eta: 4:18:27 time: 0.1718 data_time: 0.0031 loss: 0.7901 03/11 06:40:07 - mmengine - INFO - Epoch(train) [83][2500/5005] lr: 1.0000e-03 eta: 4:18:10 time: 0.1749 data_time: 0.0031 loss: 0.8807 03/11 06:40:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:40:24 - mmengine - INFO - Epoch(train) [83][2600/5005] lr: 1.0000e-03 eta: 4:17:52 time: 0.1732 data_time: 0.0032 loss: 0.8511 03/11 06:40:42 - mmengine - INFO - Epoch(train) [83][2700/5005] lr: 1.0000e-03 eta: 4:17:34 time: 0.1752 data_time: 0.0035 loss: 0.8991 03/11 06:40:59 - mmengine - INFO - Epoch(train) [83][2800/5005] lr: 1.0000e-03 eta: 4:17:16 time: 0.1728 data_time: 0.0031 loss: 0.9209 03/11 06:41:17 - mmengine - INFO - Epoch(train) [83][2900/5005] lr: 1.0000e-03 eta: 4:16:59 time: 0.1716 data_time: 0.0030 loss: 0.9369 03/11 06:41:35 - mmengine - INFO - Epoch(train) [83][3000/5005] lr: 1.0000e-03 eta: 4:16:41 time: 0.1919 data_time: 0.0030 loss: 0.8225 03/11 06:41:53 - mmengine - INFO - Epoch(train) [83][3100/5005] lr: 1.0000e-03 eta: 4:16:23 time: 0.1750 data_time: 0.0030 loss: 0.9937 03/11 06:42:10 - mmengine - INFO - Epoch(train) [83][3200/5005] lr: 1.0000e-03 eta: 4:16:05 time: 0.1730 data_time: 0.0031 loss: 0.9213 03/11 06:42:27 - mmengine - INFO - Epoch(train) [83][3300/5005] lr: 1.0000e-03 eta: 4:15:48 time: 0.1740 data_time: 0.0031 loss: 0.9449 03/11 06:42:45 - mmengine - INFO - Epoch(train) [83][3400/5005] lr: 1.0000e-03 eta: 4:15:30 time: 0.1704 data_time: 0.0031 loss: 1.0941 03/11 06:43:03 - mmengine - INFO - Epoch(train) [83][3500/5005] lr: 1.0000e-03 eta: 4:15:12 time: 0.1882 data_time: 0.0030 loss: 0.9868 03/11 06:43:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:43:21 - mmengine - INFO - Epoch(train) [83][3600/5005] lr: 1.0000e-03 eta: 4:14:55 time: 0.1732 data_time: 0.0032 loss: 0.8340 03/11 06:43:38 - mmengine - INFO - Epoch(train) [83][3700/5005] lr: 1.0000e-03 eta: 4:14:37 time: 0.1720 data_time: 0.0032 loss: 0.7737 03/11 06:43:56 - mmengine - INFO - Epoch(train) [83][3800/5005] lr: 1.0000e-03 eta: 4:14:19 time: 0.1700 data_time: 0.0030 loss: 1.0261 03/11 06:44:13 - mmengine - INFO - Epoch(train) [83][3900/5005] lr: 1.0000e-03 eta: 4:14:01 time: 0.1754 data_time: 0.0029 loss: 1.0044 03/11 06:44:30 - mmengine - INFO - Epoch(train) [83][4000/5005] lr: 1.0000e-03 eta: 4:13:43 time: 0.1740 data_time: 0.0031 loss: 0.8714 03/11 06:44:48 - mmengine - INFO - Epoch(train) [83][4100/5005] lr: 1.0000e-03 eta: 4:13:26 time: 0.1719 data_time: 0.0034 loss: 0.9941 03/11 06:45:06 - mmengine - INFO - Epoch(train) [83][4200/5005] lr: 1.0000e-03 eta: 4:13:08 time: 0.1687 data_time: 0.0029 loss: 0.9326 03/11 06:45:23 - mmengine - INFO - Epoch(train) [83][4300/5005] lr: 1.0000e-03 eta: 4:12:50 time: 0.1691 data_time: 0.0034 loss: 0.8658 03/11 06:45:41 - mmengine - INFO - Epoch(train) [83][4400/5005] lr: 1.0000e-03 eta: 4:12:33 time: 0.1709 data_time: 0.0030 loss: 0.8898 03/11 06:45:58 - mmengine - INFO - Epoch(train) [83][4500/5005] lr: 1.0000e-03 eta: 4:12:15 time: 0.1718 data_time: 0.0031 loss: 0.7553 03/11 06:46:14 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:46:16 - mmengine - INFO - Epoch(train) [83][4600/5005] lr: 1.0000e-03 eta: 4:11:57 time: 0.1704 data_time: 0.0031 loss: 1.1323 03/11 06:46:33 - mmengine - INFO - Epoch(train) [83][4700/5005] lr: 1.0000e-03 eta: 4:11:39 time: 0.1937 data_time: 0.0029 loss: 1.0061 03/11 06:46:51 - mmengine - INFO - Epoch(train) [83][4800/5005] lr: 1.0000e-03 eta: 4:11:22 time: 0.1700 data_time: 0.0029 loss: 1.0123 03/11 06:47:09 - mmengine - INFO - Epoch(train) [83][4900/5005] lr: 1.0000e-03 eta: 4:11:04 time: 0.1694 data_time: 0.0031 loss: 0.9565 03/11 06:47:26 - mmengine - INFO - Epoch(train) [83][5000/5005] lr: 1.0000e-03 eta: 4:10:46 time: 0.1668 data_time: 0.0031 loss: 0.9911 03/11 06:47:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:47:32 - mmengine - INFO - Saving checkpoint at 83 epochs 03/11 06:47:54 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:00:20 time: 0.0153 data_time: 0.0004 03/11 06:48:08 - mmengine - INFO - Epoch(val) [83][196/196] accuracy/top1: 76.5940 accuracy/top5: 93.2360 03/11 06:48:45 - mmengine - INFO - Epoch(train) [84][ 100/5005] lr: 1.0000e-03 eta: 4:10:31 time: 0.1733 data_time: 0.0034 loss: 0.8289 03/11 06:49:03 - mmengine - INFO - Epoch(train) [84][ 200/5005] lr: 1.0000e-03 eta: 4:10:14 time: 0.1726 data_time: 0.0034 loss: 0.9927 03/11 06:49:21 - mmengine - INFO - Epoch(train) [84][ 300/5005] lr: 1.0000e-03 eta: 4:09:56 time: 0.1754 data_time: 0.0035 loss: 0.8627 03/11 06:49:40 - mmengine - INFO - Epoch(train) [84][ 400/5005] lr: 1.0000e-03 eta: 4:09:38 time: 0.1719 data_time: 0.0030 loss: 0.9555 03/11 06:49:58 - mmengine - INFO - Epoch(train) [84][ 500/5005] lr: 1.0000e-03 eta: 4:09:21 time: 0.1889 data_time: 0.0035 loss: 0.9282 03/11 06:50:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:50:15 - mmengine - INFO - Epoch(train) [84][ 600/5005] lr: 1.0000e-03 eta: 4:09:03 time: 0.1897 data_time: 0.0029 loss: 0.9014 03/11 06:50:33 - mmengine - INFO - Epoch(train) [84][ 700/5005] lr: 1.0000e-03 eta: 4:08:45 time: 0.1725 data_time: 0.0029 loss: 0.8996 03/11 06:50:51 - mmengine - INFO - Epoch(train) [84][ 800/5005] lr: 1.0000e-03 eta: 4:08:28 time: 0.1718 data_time: 0.0031 loss: 0.8490 03/11 06:51:08 - mmengine - INFO - Epoch(train) [84][ 900/5005] lr: 1.0000e-03 eta: 4:08:10 time: 0.1763 data_time: 0.0028 loss: 0.9247 03/11 06:51:25 - mmengine - INFO - Epoch(train) [84][1000/5005] lr: 1.0000e-03 eta: 4:07:52 time: 0.1697 data_time: 0.0034 loss: 0.8218 03/11 06:51:44 - mmengine - INFO - Epoch(train) [84][1100/5005] lr: 1.0000e-03 eta: 4:07:34 time: 0.1712 data_time: 0.0030 loss: 0.8686 03/11 06:52:01 - mmengine - INFO - Epoch(train) [84][1200/5005] lr: 1.0000e-03 eta: 4:07:17 time: 0.1727 data_time: 0.0030 loss: 0.9562 03/11 06:52:19 - mmengine - INFO - Epoch(train) [84][1300/5005] lr: 1.0000e-03 eta: 4:06:59 time: 0.1720 data_time: 0.0029 loss: 0.8307 03/11 06:52:36 - mmengine - INFO - Epoch(train) [84][1400/5005] lr: 1.0000e-03 eta: 4:06:41 time: 0.1730 data_time: 0.0030 loss: 1.0332 03/11 06:52:54 - mmengine - INFO - Epoch(train) [84][1500/5005] lr: 1.0000e-03 eta: 4:06:23 time: 0.1711 data_time: 0.0032 loss: 0.8719 03/11 06:53:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:53:11 - mmengine - INFO - Epoch(train) [84][1600/5005] lr: 1.0000e-03 eta: 4:06:06 time: 0.1687 data_time: 0.0031 loss: 0.9775 03/11 06:53:30 - mmengine - INFO - Epoch(train) [84][1700/5005] lr: 1.0000e-03 eta: 4:05:48 time: 0.1895 data_time: 0.0031 loss: 0.9652 03/11 06:53:48 - mmengine - INFO - Epoch(train) [84][1800/5005] lr: 1.0000e-03 eta: 4:05:31 time: 0.1712 data_time: 0.0030 loss: 1.0230 03/11 06:54:06 - mmengine - INFO - Epoch(train) [84][1900/5005] lr: 1.0000e-03 eta: 4:05:13 time: 0.1891 data_time: 0.0028 loss: 1.1108 03/11 06:54:23 - mmengine - INFO - Epoch(train) [84][2000/5005] lr: 1.0000e-03 eta: 4:04:55 time: 0.1718 data_time: 0.0031 loss: 0.9075 03/11 06:54:41 - mmengine - INFO - Epoch(train) [84][2100/5005] lr: 1.0000e-03 eta: 4:04:37 time: 0.1722 data_time: 0.0029 loss: 0.9837 03/11 06:54:58 - mmengine - INFO - Epoch(train) [84][2200/5005] lr: 1.0000e-03 eta: 4:04:20 time: 0.1718 data_time: 0.0032 loss: 0.9218 03/11 06:55:16 - mmengine - INFO - Epoch(train) [84][2300/5005] lr: 1.0000e-03 eta: 4:04:02 time: 0.1718 data_time: 0.0032 loss: 0.8886 03/11 06:55:34 - mmengine - INFO - Epoch(train) [84][2400/5005] lr: 1.0000e-03 eta: 4:03:44 time: 0.1707 data_time: 0.0033 loss: 0.8909 03/11 06:55:51 - mmengine - INFO - Epoch(train) [84][2500/5005] lr: 1.0000e-03 eta: 4:03:26 time: 0.1731 data_time: 0.0030 loss: 0.8981 03/11 06:56:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:56:09 - mmengine - INFO - Epoch(train) [84][2600/5005] lr: 1.0000e-03 eta: 4:03:09 time: 0.1726 data_time: 0.0029 loss: 1.1235 03/11 06:56:26 - mmengine - INFO - Epoch(train) [84][2700/5005] lr: 1.0000e-03 eta: 4:02:51 time: 0.1731 data_time: 0.0033 loss: 0.8701 03/11 06:56:44 - mmengine - INFO - Epoch(train) [84][2800/5005] lr: 1.0000e-03 eta: 4:02:33 time: 0.1713 data_time: 0.0033 loss: 0.8060 03/11 06:57:02 - mmengine - INFO - Epoch(train) [84][2900/5005] lr: 1.0000e-03 eta: 4:02:15 time: 0.1988 data_time: 0.0032 loss: 0.9621 03/11 06:57:19 - mmengine - INFO - Epoch(train) [84][3000/5005] lr: 1.0000e-03 eta: 4:01:58 time: 0.1700 data_time: 0.0033 loss: 0.9559 03/11 06:57:37 - mmengine - INFO - Epoch(train) [84][3100/5005] lr: 1.0000e-03 eta: 4:01:40 time: 0.1703 data_time: 0.0029 loss: 1.0279 03/11 06:57:55 - mmengine - INFO - Epoch(train) [84][3200/5005] lr: 1.0000e-03 eta: 4:01:22 time: 0.1735 data_time: 0.0030 loss: 0.8745 03/11 06:58:12 - mmengine - INFO - Epoch(train) [84][3300/5005] lr: 1.0000e-03 eta: 4:01:05 time: 0.1718 data_time: 0.0032 loss: 0.8789 03/11 06:58:30 - mmengine - INFO - Epoch(train) [84][3400/5005] lr: 1.0000e-03 eta: 4:00:47 time: 0.1792 data_time: 0.0030 loss: 0.8329 03/11 06:58:48 - mmengine - INFO - Epoch(train) [84][3500/5005] lr: 1.0000e-03 eta: 4:00:29 time: 0.1707 data_time: 0.0030 loss: 0.8415 03/11 06:59:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 06:59:05 - mmengine - INFO - Epoch(train) [84][3600/5005] lr: 1.0000e-03 eta: 4:00:11 time: 0.1773 data_time: 0.0030 loss: 1.0257 03/11 06:59:23 - mmengine - INFO - Epoch(train) [84][3700/5005] lr: 1.0000e-03 eta: 3:59:54 time: 0.1722 data_time: 0.0031 loss: 0.6897 03/11 06:59:41 - mmengine - INFO - Epoch(train) [84][3800/5005] lr: 1.0000e-03 eta: 3:59:36 time: 0.1733 data_time: 0.0031 loss: 0.8090 03/11 06:59:58 - mmengine - INFO - Epoch(train) [84][3900/5005] lr: 1.0000e-03 eta: 3:59:18 time: 0.1706 data_time: 0.0032 loss: 0.9804 03/11 07:00:16 - mmengine - INFO - Epoch(train) [84][4000/5005] lr: 1.0000e-03 eta: 3:59:00 time: 0.1694 data_time: 0.0034 loss: 0.8628 03/11 07:00:34 - mmengine - INFO - Epoch(train) [84][4100/5005] lr: 1.0000e-03 eta: 3:58:43 time: 0.1684 data_time: 0.0032 loss: 1.1048 03/11 07:00:51 - mmengine - INFO - Epoch(train) [84][4200/5005] lr: 1.0000e-03 eta: 3:58:25 time: 0.1712 data_time: 0.0034 loss: 0.9225 03/11 07:01:09 - mmengine - INFO - Epoch(train) [84][4300/5005] lr: 1.0000e-03 eta: 3:58:07 time: 0.1710 data_time: 0.0035 loss: 0.8292 03/11 07:01:26 - mmengine - INFO - Epoch(train) [84][4400/5005] lr: 1.0000e-03 eta: 3:57:50 time: 0.1705 data_time: 0.0031 loss: 0.9408 03/11 07:01:44 - mmengine - INFO - Epoch(train) [84][4500/5005] lr: 1.0000e-03 eta: 3:57:32 time: 0.1884 data_time: 0.0031 loss: 0.7408 03/11 07:01:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:02:02 - mmengine - INFO - Epoch(train) [84][4600/5005] lr: 1.0000e-03 eta: 3:57:14 time: 0.1730 data_time: 0.0031 loss: 1.0214 03/11 07:02:20 - mmengine - INFO - Epoch(train) [84][4700/5005] lr: 1.0000e-03 eta: 3:56:56 time: 0.2061 data_time: 0.0030 loss: 0.9797 03/11 07:02:37 - mmengine - INFO - Epoch(train) [84][4800/5005] lr: 1.0000e-03 eta: 3:56:39 time: 0.1706 data_time: 0.0030 loss: 0.8889 03/11 07:02:54 - mmengine - INFO - Epoch(train) [84][4900/5005] lr: 1.0000e-03 eta: 3:56:21 time: 0.1690 data_time: 0.0028 loss: 0.8206 03/11 07:03:11 - mmengine - INFO - Epoch(train) [84][5000/5005] lr: 1.0000e-03 eta: 3:56:03 time: 0.1706 data_time: 0.0029 loss: 0.8957 03/11 07:03:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:03:17 - mmengine - INFO - Saving checkpoint at 84 epochs 03/11 07:03:38 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:00:19 time: 0.0147 data_time: 0.0004 03/11 07:03:53 - mmengine - INFO - Epoch(val) [84][196/196] accuracy/top1: 76.5860 accuracy/top5: 93.3520 03/11 07:04:32 - mmengine - INFO - Epoch(train) [85][ 100/5005] lr: 1.0000e-03 eta: 3:55:48 time: 0.1933 data_time: 0.0034 loss: 0.9375 03/11 07:04:50 - mmengine - INFO - Epoch(train) [85][ 200/5005] lr: 1.0000e-03 eta: 3:55:31 time: 0.1754 data_time: 0.0036 loss: 0.8688 03/11 07:05:08 - mmengine - INFO - Epoch(train) [85][ 300/5005] lr: 1.0000e-03 eta: 3:55:13 time: 0.1750 data_time: 0.0034 loss: 0.9767 03/11 07:05:26 - mmengine - INFO - Epoch(train) [85][ 400/5005] lr: 1.0000e-03 eta: 3:54:55 time: 0.1694 data_time: 0.0033 loss: 0.9397 03/11 07:05:44 - mmengine - INFO - Epoch(train) [85][ 500/5005] lr: 1.0000e-03 eta: 3:54:38 time: 0.1712 data_time: 0.0032 loss: 0.9001 03/11 07:05:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:06:01 - mmengine - INFO - Epoch(train) [85][ 600/5005] lr: 1.0000e-03 eta: 3:54:20 time: 0.1717 data_time: 0.0033 loss: 0.8374 03/11 07:06:19 - mmengine - INFO - Epoch(train) [85][ 700/5005] lr: 1.0000e-03 eta: 3:54:02 time: 0.1755 data_time: 0.0031 loss: 0.9060 03/11 07:06:37 - mmengine - INFO - Epoch(train) [85][ 800/5005] lr: 1.0000e-03 eta: 3:53:45 time: 0.1718 data_time: 0.0031 loss: 1.0112 03/11 07:06:55 - mmengine - INFO - Epoch(train) [85][ 900/5005] lr: 1.0000e-03 eta: 3:53:27 time: 0.1720 data_time: 0.0031 loss: 1.0569 03/11 07:07:13 - mmengine - INFO - Epoch(train) [85][1000/5005] lr: 1.0000e-03 eta: 3:53:09 time: 0.1953 data_time: 0.0034 loss: 0.8895 03/11 07:07:30 - mmengine - INFO - Epoch(train) [85][1100/5005] lr: 1.0000e-03 eta: 3:52:51 time: 0.1737 data_time: 0.0031 loss: 1.0103 03/11 07:07:48 - mmengine - INFO - Epoch(train) [85][1200/5005] lr: 1.0000e-03 eta: 3:52:34 time: 0.1728 data_time: 0.0036 loss: 0.9410 03/11 07:08:06 - mmengine - INFO - Epoch(train) [85][1300/5005] lr: 1.0000e-03 eta: 3:52:16 time: 0.1733 data_time: 0.0035 loss: 0.8878 03/11 07:08:24 - mmengine - INFO - Epoch(train) [85][1400/5005] lr: 1.0000e-03 eta: 3:51:58 time: 0.1727 data_time: 0.0032 loss: 0.8575 03/11 07:08:42 - mmengine - INFO - Epoch(train) [85][1500/5005] lr: 1.0000e-03 eta: 3:51:41 time: 0.1741 data_time: 0.0032 loss: 1.1167 03/11 07:08:56 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:08:59 - mmengine - INFO - Epoch(train) [85][1600/5005] lr: 1.0000e-03 eta: 3:51:23 time: 0.1722 data_time: 0.0029 loss: 0.9104 03/11 07:09:17 - mmengine - INFO - Epoch(train) [85][1700/5005] lr: 1.0000e-03 eta: 3:51:05 time: 0.1727 data_time: 0.0038 loss: 0.9692 03/11 07:09:34 - mmengine - INFO - Epoch(train) [85][1800/5005] lr: 1.0000e-03 eta: 3:50:47 time: 0.1729 data_time: 0.0032 loss: 1.0335 03/11 07:09:52 - mmengine - INFO - Epoch(train) [85][1900/5005] lr: 1.0000e-03 eta: 3:50:30 time: 0.1746 data_time: 0.0031 loss: 0.8421 03/11 07:10:10 - mmengine - INFO - Epoch(train) [85][2000/5005] lr: 1.0000e-03 eta: 3:50:12 time: 0.1721 data_time: 0.0030 loss: 1.0737 03/11 07:10:28 - mmengine - INFO - Epoch(train) [85][2100/5005] lr: 1.0000e-03 eta: 3:49:54 time: 0.1730 data_time: 0.0030 loss: 0.9520 03/11 07:10:45 - mmengine - INFO - Epoch(train) [85][2200/5005] lr: 1.0000e-03 eta: 3:49:37 time: 0.1722 data_time: 0.0030 loss: 0.9181 03/11 07:11:03 - mmengine - INFO - Epoch(train) [85][2300/5005] lr: 1.0000e-03 eta: 3:49:19 time: 0.1727 data_time: 0.0034 loss: 1.0409 03/11 07:11:20 - mmengine - INFO - Epoch(train) [85][2400/5005] lr: 1.0000e-03 eta: 3:49:01 time: 0.1741 data_time: 0.0031 loss: 0.8449 03/11 07:11:38 - mmengine - INFO - Epoch(train) [85][2500/5005] lr: 1.0000e-03 eta: 3:48:43 time: 0.1726 data_time: 0.0035 loss: 0.8606 03/11 07:11:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:11:55 - mmengine - INFO - Epoch(train) [85][2600/5005] lr: 1.0000e-03 eta: 3:48:26 time: 0.1709 data_time: 0.0029 loss: 0.8215 03/11 07:12:13 - mmengine - INFO - Epoch(train) [85][2700/5005] lr: 1.0000e-03 eta: 3:48:08 time: 0.1721 data_time: 0.0030 loss: 1.0250 03/11 07:12:31 - mmengine - INFO - Epoch(train) [85][2800/5005] lr: 1.0000e-03 eta: 3:47:50 time: 0.1697 data_time: 0.0034 loss: 0.8367 03/11 07:12:49 - mmengine - INFO - Epoch(train) [85][2900/5005] lr: 1.0000e-03 eta: 3:47:32 time: 0.1733 data_time: 0.0032 loss: 0.9734 03/11 07:13:06 - mmengine - INFO - Epoch(train) [85][3000/5005] lr: 1.0000e-03 eta: 3:47:15 time: 0.1706 data_time: 0.0029 loss: 0.9937 03/11 07:13:23 - mmengine - INFO - Epoch(train) [85][3100/5005] lr: 1.0000e-03 eta: 3:46:57 time: 0.1720 data_time: 0.0030 loss: 0.9306 03/11 07:13:41 - mmengine - INFO - Epoch(train) [85][3200/5005] lr: 1.0000e-03 eta: 3:46:39 time: 0.1709 data_time: 0.0032 loss: 0.9522 03/11 07:13:59 - mmengine - INFO - Epoch(train) [85][3300/5005] lr: 1.0000e-03 eta: 3:46:21 time: 0.1904 data_time: 0.0030 loss: 1.0018 03/11 07:14:16 - mmengine - INFO - Epoch(train) [85][3400/5005] lr: 1.0000e-03 eta: 3:46:04 time: 0.1727 data_time: 0.0031 loss: 0.9428 03/11 07:14:34 - mmengine - INFO - Epoch(train) [85][3500/5005] lr: 1.0000e-03 eta: 3:45:46 time: 0.1737 data_time: 0.0030 loss: 1.0291 03/11 07:14:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:14:51 - mmengine - INFO - Epoch(train) [85][3600/5005] lr: 1.0000e-03 eta: 3:45:28 time: 0.1736 data_time: 0.0031 loss: 0.9619 03/11 07:15:09 - mmengine - INFO - Epoch(train) [85][3700/5005] lr: 1.0000e-03 eta: 3:45:10 time: 0.1734 data_time: 0.0029 loss: 0.7808 03/11 07:15:26 - mmengine - INFO - Epoch(train) [85][3800/5005] lr: 1.0000e-03 eta: 3:44:53 time: 0.1724 data_time: 0.0032 loss: 0.9792 03/11 07:15:44 - mmengine - INFO - Epoch(train) [85][3900/5005] lr: 1.0000e-03 eta: 3:44:35 time: 0.1722 data_time: 0.0032 loss: 0.8583 03/11 07:16:02 - mmengine - INFO - Epoch(train) [85][4000/5005] lr: 1.0000e-03 eta: 3:44:17 time: 0.1995 data_time: 0.0030 loss: 1.0096 03/11 07:16:20 - mmengine - INFO - Epoch(train) [85][4100/5005] lr: 1.0000e-03 eta: 3:44:00 time: 0.1730 data_time: 0.0030 loss: 1.1239 03/11 07:16:37 - mmengine - INFO - Epoch(train) [85][4200/5005] lr: 1.0000e-03 eta: 3:43:42 time: 0.1710 data_time: 0.0030 loss: 0.9957 03/11 07:16:55 - mmengine - INFO - Epoch(train) [85][4300/5005] lr: 1.0000e-03 eta: 3:43:24 time: 0.1706 data_time: 0.0031 loss: 1.1568 03/11 07:17:12 - mmengine - INFO - Epoch(train) [85][4400/5005] lr: 1.0000e-03 eta: 3:43:06 time: 0.1727 data_time: 0.0032 loss: 0.9833 03/11 07:17:30 - mmengine - INFO - Epoch(train) [85][4500/5005] lr: 1.0000e-03 eta: 3:42:49 time: 0.1728 data_time: 0.0029 loss: 0.9481 03/11 07:17:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:17:47 - mmengine - INFO - Epoch(train) [85][4600/5005] lr: 1.0000e-03 eta: 3:42:31 time: 0.1721 data_time: 0.0030 loss: 0.9200 03/11 07:18:06 - mmengine - INFO - Epoch(train) [85][4700/5005] lr: 1.0000e-03 eta: 3:42:13 time: 0.1719 data_time: 0.0033 loss: 1.0282 03/11 07:18:23 - mmengine - INFO - Epoch(train) [85][4800/5005] lr: 1.0000e-03 eta: 3:41:55 time: 0.1711 data_time: 0.0035 loss: 0.7143 03/11 07:18:40 - mmengine - INFO - Epoch(train) [85][4900/5005] lr: 1.0000e-03 eta: 3:41:38 time: 0.1719 data_time: 0.0034 loss: 0.8719 03/11 07:18:57 - mmengine - INFO - Epoch(train) [85][5000/5005] lr: 1.0000e-03 eta: 3:41:20 time: 0.1708 data_time: 0.0037 loss: 0.9541 03/11 07:18:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:19:03 - mmengine - INFO - Saving checkpoint at 85 epochs 03/11 07:19:25 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:00:20 time: 0.0169 data_time: 0.0003 03/11 07:19:40 - mmengine - INFO - Epoch(val) [85][196/196] accuracy/top1: 76.6400 accuracy/top5: 93.1960 03/11 07:20:17 - mmengine - INFO - Epoch(train) [86][ 100/5005] lr: 1.0000e-03 eta: 3:41:05 time: 0.1732 data_time: 0.0042 loss: 0.9347 03/11 07:20:35 - mmengine - INFO - Epoch(train) [86][ 200/5005] lr: 1.0000e-03 eta: 3:40:47 time: 0.1851 data_time: 0.0030 loss: 0.9019 03/11 07:20:54 - mmengine - INFO - Epoch(train) [86][ 300/5005] lr: 1.0000e-03 eta: 3:40:29 time: 0.1987 data_time: 0.0035 loss: 0.8706 03/11 07:21:12 - mmengine - INFO - Epoch(train) [86][ 400/5005] lr: 1.0000e-03 eta: 3:40:12 time: 0.1709 data_time: 0.0030 loss: 0.9235 03/11 07:21:29 - mmengine - INFO - Epoch(train) [86][ 500/5005] lr: 1.0000e-03 eta: 3:39:54 time: 0.1728 data_time: 0.0031 loss: 0.9268 03/11 07:21:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:21:47 - mmengine - INFO - Epoch(train) [86][ 600/5005] lr: 1.0000e-03 eta: 3:39:36 time: 0.1713 data_time: 0.0031 loss: 0.8685 03/11 07:22:04 - mmengine - INFO - Epoch(train) [86][ 700/5005] lr: 1.0000e-03 eta: 3:39:19 time: 0.1734 data_time: 0.0031 loss: 0.9010 03/11 07:22:22 - mmengine - INFO - Epoch(train) [86][ 800/5005] lr: 1.0000e-03 eta: 3:39:01 time: 0.1699 data_time: 0.0032 loss: 0.8047 03/11 07:22:40 - mmengine - INFO - Epoch(train) [86][ 900/5005] lr: 1.0000e-03 eta: 3:38:43 time: 0.1745 data_time: 0.0032 loss: 0.8345 03/11 07:22:58 - mmengine - INFO - Epoch(train) [86][1000/5005] lr: 1.0000e-03 eta: 3:38:25 time: 0.1720 data_time: 0.0030 loss: 0.9721 03/11 07:23:15 - mmengine - INFO - Epoch(train) [86][1100/5005] lr: 1.0000e-03 eta: 3:38:08 time: 0.1722 data_time: 0.0029 loss: 0.8245 03/11 07:23:33 - mmengine - INFO - Epoch(train) [86][1200/5005] lr: 1.0000e-03 eta: 3:37:50 time: 0.1911 data_time: 0.0031 loss: 1.1158 03/11 07:23:50 - mmengine - INFO - Epoch(train) [86][1300/5005] lr: 1.0000e-03 eta: 3:37:32 time: 0.1704 data_time: 0.0031 loss: 0.9346 03/11 07:24:08 - mmengine - INFO - Epoch(train) [86][1400/5005] lr: 1.0000e-03 eta: 3:37:14 time: 0.1738 data_time: 0.0034 loss: 0.8927 03/11 07:24:26 - mmengine - INFO - Epoch(train) [86][1500/5005] lr: 1.0000e-03 eta: 3:36:57 time: 0.1736 data_time: 0.0031 loss: 0.8990 03/11 07:24:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:24:44 - mmengine - INFO - Epoch(train) [86][1600/5005] lr: 1.0000e-03 eta: 3:36:39 time: 0.1715 data_time: 0.0033 loss: 0.8547 03/11 07:25:01 - mmengine - INFO - Epoch(train) [86][1700/5005] lr: 1.0000e-03 eta: 3:36:21 time: 0.1713 data_time: 0.0030 loss: 0.8500 03/11 07:25:19 - mmengine - INFO - Epoch(train) [86][1800/5005] lr: 1.0000e-03 eta: 3:36:04 time: 0.1931 data_time: 0.0031 loss: 0.8459 03/11 07:25:37 - mmengine - INFO - Epoch(train) [86][1900/5005] lr: 1.0000e-03 eta: 3:35:46 time: 0.1735 data_time: 0.0032 loss: 0.8526 03/11 07:25:54 - mmengine - INFO - Epoch(train) [86][2000/5005] lr: 1.0000e-03 eta: 3:35:28 time: 0.1747 data_time: 0.0032 loss: 0.9182 03/11 07:26:12 - mmengine - INFO - Epoch(train) [86][2100/5005] lr: 1.0000e-03 eta: 3:35:10 time: 0.1763 data_time: 0.0031 loss: 1.0587 03/11 07:26:30 - mmengine - INFO - Epoch(train) [86][2200/5005] lr: 1.0000e-03 eta: 3:34:53 time: 0.1709 data_time: 0.0035 loss: 0.8230 03/11 07:26:47 - mmengine - INFO - Epoch(train) [86][2300/5005] lr: 1.0000e-03 eta: 3:34:35 time: 0.1731 data_time: 0.0033 loss: 0.8232 03/11 07:27:05 - mmengine - INFO - Epoch(train) [86][2400/5005] lr: 1.0000e-03 eta: 3:34:17 time: 0.1742 data_time: 0.0032 loss: 0.8804 03/11 07:27:23 - mmengine - INFO - Epoch(train) [86][2500/5005] lr: 1.0000e-03 eta: 3:34:00 time: 0.1753 data_time: 0.0028 loss: 0.8747 03/11 07:27:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:27:41 - mmengine - INFO - Epoch(train) [86][2600/5005] lr: 1.0000e-03 eta: 3:33:42 time: 0.1750 data_time: 0.0030 loss: 0.9428 03/11 07:27:58 - mmengine - INFO - Epoch(train) [86][2700/5005] lr: 1.0000e-03 eta: 3:33:24 time: 0.1710 data_time: 0.0030 loss: 0.9258 03/11 07:28:16 - mmengine - INFO - Epoch(train) [86][2800/5005] lr: 1.0000e-03 eta: 3:33:06 time: 0.1864 data_time: 0.0034 loss: 0.9576 03/11 07:28:33 - mmengine - INFO - Epoch(train) [86][2900/5005] lr: 1.0000e-03 eta: 3:32:49 time: 0.1740 data_time: 0.0031 loss: 0.8352 03/11 07:28:51 - mmengine - INFO - Epoch(train) [86][3000/5005] lr: 1.0000e-03 eta: 3:32:31 time: 0.1905 data_time: 0.0030 loss: 0.8340 03/11 07:29:09 - mmengine - INFO - Epoch(train) [86][3100/5005] lr: 1.0000e-03 eta: 3:32:13 time: 0.1729 data_time: 0.0032 loss: 0.8759 03/11 07:29:26 - mmengine - INFO - Epoch(train) [86][3200/5005] lr: 1.0000e-03 eta: 3:31:55 time: 0.1722 data_time: 0.0036 loss: 0.9234 03/11 07:29:44 - mmengine - INFO - Epoch(train) [86][3300/5005] lr: 1.0000e-03 eta: 3:31:38 time: 0.1908 data_time: 0.0030 loss: 0.8234 03/11 07:30:02 - mmengine - INFO - Epoch(train) [86][3400/5005] lr: 1.0000e-03 eta: 3:31:20 time: 0.1736 data_time: 0.0032 loss: 0.8012 03/11 07:30:19 - mmengine - INFO - Epoch(train) [86][3500/5005] lr: 1.0000e-03 eta: 3:31:02 time: 0.1744 data_time: 0.0036 loss: 1.1062 03/11 07:30:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:30:37 - mmengine - INFO - Epoch(train) [86][3600/5005] lr: 1.0000e-03 eta: 3:30:45 time: 0.1737 data_time: 0.0035 loss: 0.9150 03/11 07:30:55 - mmengine - INFO - Epoch(train) [86][3700/5005] lr: 1.0000e-03 eta: 3:30:27 time: 0.1712 data_time: 0.0031 loss: 0.8793 03/11 07:31:12 - mmengine - INFO - Epoch(train) [86][3800/5005] lr: 1.0000e-03 eta: 3:30:09 time: 0.1720 data_time: 0.0031 loss: 0.9442 03/11 07:31:30 - mmengine - INFO - Epoch(train) [86][3900/5005] lr: 1.0000e-03 eta: 3:29:51 time: 0.1713 data_time: 0.0033 loss: 0.8852 03/11 07:31:48 - mmengine - INFO - Epoch(train) [86][4000/5005] lr: 1.0000e-03 eta: 3:29:34 time: 0.1703 data_time: 0.0034 loss: 1.0728 03/11 07:32:05 - mmengine - INFO - Epoch(train) [86][4100/5005] lr: 1.0000e-03 eta: 3:29:16 time: 0.1723 data_time: 0.0034 loss: 0.9196 03/11 07:32:23 - mmengine - INFO - Epoch(train) [86][4200/5005] lr: 1.0000e-03 eta: 3:28:58 time: 0.1707 data_time: 0.0034 loss: 1.1271 03/11 07:32:41 - mmengine - INFO - Epoch(train) [86][4300/5005] lr: 1.0000e-03 eta: 3:28:40 time: 0.1720 data_time: 0.0034 loss: 0.9330 03/11 07:32:58 - mmengine - INFO - Epoch(train) [86][4400/5005] lr: 1.0000e-03 eta: 3:28:23 time: 0.1736 data_time: 0.0033 loss: 0.9968 03/11 07:33:16 - mmengine - INFO - Epoch(train) [86][4500/5005] lr: 1.0000e-03 eta: 3:28:05 time: 0.1730 data_time: 0.0034 loss: 1.0578 03/11 07:33:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:33:33 - mmengine - INFO - Epoch(train) [86][4600/5005] lr: 1.0000e-03 eta: 3:27:47 time: 0.1735 data_time: 0.0034 loss: 0.9667 03/11 07:33:51 - mmengine - INFO - Epoch(train) [86][4700/5005] lr: 1.0000e-03 eta: 3:27:29 time: 0.1727 data_time: 0.0033 loss: 0.9061 03/11 07:34:08 - mmengine - INFO - Epoch(train) [86][4800/5005] lr: 1.0000e-03 eta: 3:27:12 time: 0.1697 data_time: 0.0034 loss: 0.8924 03/11 07:34:25 - mmengine - INFO - Epoch(train) [86][4900/5005] lr: 1.0000e-03 eta: 3:26:54 time: 0.1687 data_time: 0.0033 loss: 0.8585 03/11 07:34:43 - mmengine - INFO - Epoch(train) [86][5000/5005] lr: 1.0000e-03 eta: 3:26:36 time: 0.1757 data_time: 0.0033 loss: 0.9917 03/11 07:34:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:34:49 - mmengine - INFO - Saving checkpoint at 86 epochs 03/11 07:35:11 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:00:20 time: 0.0168 data_time: 0.0003 03/11 07:35:25 - mmengine - INFO - Epoch(val) [86][196/196] accuracy/top1: 76.4140 accuracy/top5: 93.3180 03/11 07:36:03 - mmengine - INFO - Epoch(train) [87][ 100/5005] lr: 1.0000e-03 eta: 3:26:21 time: 0.1715 data_time: 0.0028 loss: 0.9333 03/11 07:36:21 - mmengine - INFO - Epoch(train) [87][ 200/5005] lr: 1.0000e-03 eta: 3:26:03 time: 0.1934 data_time: 0.0032 loss: 0.9210 03/11 07:36:38 - mmengine - INFO - Epoch(train) [87][ 300/5005] lr: 1.0000e-03 eta: 3:25:45 time: 0.1732 data_time: 0.0033 loss: 0.9440 03/11 07:36:57 - mmengine - INFO - Epoch(train) [87][ 400/5005] lr: 1.0000e-03 eta: 3:25:28 time: 0.1716 data_time: 0.0034 loss: 0.9520 03/11 07:37:15 - mmengine - INFO - Epoch(train) [87][ 500/5005] lr: 1.0000e-03 eta: 3:25:10 time: 0.1708 data_time: 0.0030 loss: 0.9417 03/11 07:37:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:37:32 - mmengine - INFO - Epoch(train) [87][ 600/5005] lr: 1.0000e-03 eta: 3:24:52 time: 0.1942 data_time: 0.0032 loss: 0.7795 03/11 07:37:50 - mmengine - INFO - Epoch(train) [87][ 700/5005] lr: 1.0000e-03 eta: 3:24:35 time: 0.1720 data_time: 0.0030 loss: 0.9999 03/11 07:38:08 - mmengine - INFO - Epoch(train) [87][ 800/5005] lr: 1.0000e-03 eta: 3:24:17 time: 0.1713 data_time: 0.0030 loss: 1.0416 03/11 07:38:26 - mmengine - INFO - Epoch(train) [87][ 900/5005] lr: 1.0000e-03 eta: 3:23:59 time: 0.1709 data_time: 0.0030 loss: 0.9042 03/11 07:38:43 - mmengine - INFO - Epoch(train) [87][1000/5005] lr: 1.0000e-03 eta: 3:23:41 time: 0.1772 data_time: 0.0031 loss: 0.8318 03/11 07:39:01 - mmengine - INFO - Epoch(train) [87][1100/5005] lr: 1.0000e-03 eta: 3:23:24 time: 0.1983 data_time: 0.0031 loss: 0.8824 03/11 07:39:20 - mmengine - INFO - Epoch(train) [87][1200/5005] lr: 1.0000e-03 eta: 3:23:06 time: 0.1772 data_time: 0.0032 loss: 0.9173 03/11 07:39:38 - mmengine - INFO - Epoch(train) [87][1300/5005] lr: 1.0000e-03 eta: 3:22:48 time: 0.1728 data_time: 0.0032 loss: 1.0432 03/11 07:39:56 - mmengine - INFO - Epoch(train) [87][1400/5005] lr: 1.0000e-03 eta: 3:22:31 time: 0.2267 data_time: 0.0031 loss: 1.0738 03/11 07:40:13 - mmengine - INFO - Epoch(train) [87][1500/5005] lr: 1.0000e-03 eta: 3:22:13 time: 0.1734 data_time: 0.0033 loss: 0.8972 03/11 07:40:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:40:31 - mmengine - INFO - Epoch(train) [87][1600/5005] lr: 1.0000e-03 eta: 3:21:55 time: 0.1720 data_time: 0.0034 loss: 0.9836 03/11 07:40:49 - mmengine - INFO - Epoch(train) [87][1700/5005] lr: 1.0000e-03 eta: 3:21:38 time: 0.1710 data_time: 0.0030 loss: 1.0524 03/11 07:41:07 - mmengine - INFO - Epoch(train) [87][1800/5005] lr: 1.0000e-03 eta: 3:21:20 time: 0.1744 data_time: 0.0029 loss: 0.8512 03/11 07:41:24 - mmengine - INFO - Epoch(train) [87][1900/5005] lr: 1.0000e-03 eta: 3:21:02 time: 0.1724 data_time: 0.0030 loss: 0.8348 03/11 07:41:42 - mmengine - INFO - Epoch(train) [87][2000/5005] lr: 1.0000e-03 eta: 3:20:44 time: 0.1741 data_time: 0.0032 loss: 0.8793 03/11 07:42:00 - mmengine - INFO - Epoch(train) [87][2100/5005] lr: 1.0000e-03 eta: 3:20:27 time: 0.1755 data_time: 0.0034 loss: 0.8871 03/11 07:42:17 - mmengine - INFO - Epoch(train) [87][2200/5005] lr: 1.0000e-03 eta: 3:20:09 time: 0.1704 data_time: 0.0031 loss: 1.0392 03/11 07:42:34 - mmengine - INFO - Epoch(train) [87][2300/5005] lr: 1.0000e-03 eta: 3:19:51 time: 0.1719 data_time: 0.0033 loss: 0.9459 03/11 07:42:52 - mmengine - INFO - Epoch(train) [87][2400/5005] lr: 1.0000e-03 eta: 3:19:34 time: 0.1725 data_time: 0.0029 loss: 0.9535 03/11 07:43:10 - mmengine - INFO - Epoch(train) [87][2500/5005] lr: 1.0000e-03 eta: 3:19:16 time: 0.1721 data_time: 0.0033 loss: 1.0100 03/11 07:43:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:43:28 - mmengine - INFO - Epoch(train) [87][2600/5005] lr: 1.0000e-03 eta: 3:18:58 time: 0.1734 data_time: 0.0032 loss: 0.8680 03/11 07:43:46 - mmengine - INFO - Epoch(train) [87][2700/5005] lr: 1.0000e-03 eta: 3:18:40 time: 0.1721 data_time: 0.0031 loss: 0.7950 03/11 07:44:03 - mmengine - INFO - Epoch(train) [87][2800/5005] lr: 1.0000e-03 eta: 3:18:23 time: 0.1741 data_time: 0.0030 loss: 0.8712 03/11 07:44:20 - mmengine - INFO - Epoch(train) [87][2900/5005] lr: 1.0000e-03 eta: 3:18:05 time: 0.1713 data_time: 0.0032 loss: 0.9830 03/11 07:44:39 - mmengine - INFO - Epoch(train) [87][3000/5005] lr: 1.0000e-03 eta: 3:17:47 time: 0.1974 data_time: 0.0029 loss: 0.9359 03/11 07:44:56 - mmengine - INFO - Epoch(train) [87][3100/5005] lr: 1.0000e-03 eta: 3:17:29 time: 0.1731 data_time: 0.0033 loss: 0.7993 03/11 07:45:14 - mmengine - INFO - Epoch(train) [87][3200/5005] lr: 1.0000e-03 eta: 3:17:12 time: 0.1718 data_time: 0.0032 loss: 0.9871 03/11 07:45:32 - mmengine - INFO - Epoch(train) [87][3300/5005] lr: 1.0000e-03 eta: 3:16:54 time: 0.1733 data_time: 0.0033 loss: 0.8184 03/11 07:45:49 - mmengine - INFO - Epoch(train) [87][3400/5005] lr: 1.0000e-03 eta: 3:16:36 time: 0.1723 data_time: 0.0029 loss: 0.8137 03/11 07:46:07 - mmengine - INFO - Epoch(train) [87][3500/5005] lr: 1.0000e-03 eta: 3:16:19 time: 0.1723 data_time: 0.0034 loss: 0.8558 03/11 07:46:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:46:24 - mmengine - INFO - Epoch(train) [87][3600/5005] lr: 1.0000e-03 eta: 3:16:01 time: 0.1735 data_time: 0.0029 loss: 0.9181 03/11 07:46:42 - mmengine - INFO - Epoch(train) [87][3700/5005] lr: 1.0000e-03 eta: 3:15:43 time: 0.1718 data_time: 0.0031 loss: 0.8470 03/11 07:47:00 - mmengine - INFO - Epoch(train) [87][3800/5005] lr: 1.0000e-03 eta: 3:15:25 time: 0.1714 data_time: 0.0028 loss: 0.9322 03/11 07:47:18 - mmengine - INFO - Epoch(train) [87][3900/5005] lr: 1.0000e-03 eta: 3:15:08 time: 0.2107 data_time: 0.0033 loss: 0.9180 03/11 07:47:35 - mmengine - INFO - Epoch(train) [87][4000/5005] lr: 1.0000e-03 eta: 3:14:50 time: 0.1706 data_time: 0.0033 loss: 1.0514 03/11 07:47:52 - mmengine - INFO - Epoch(train) [87][4100/5005] lr: 1.0000e-03 eta: 3:14:32 time: 0.1737 data_time: 0.0031 loss: 1.0864 03/11 07:48:10 - mmengine - INFO - Epoch(train) [87][4200/5005] lr: 1.0000e-03 eta: 3:14:14 time: 0.1688 data_time: 0.0029 loss: 0.9574 03/11 07:48:28 - mmengine - INFO - Epoch(train) [87][4300/5005] lr: 1.0000e-03 eta: 3:13:57 time: 0.1737 data_time: 0.0032 loss: 1.1515 03/11 07:48:46 - mmengine - INFO - Epoch(train) [87][4400/5005] lr: 1.0000e-03 eta: 3:13:39 time: 0.1742 data_time: 0.0037 loss: 0.9453 03/11 07:49:03 - mmengine - INFO - Epoch(train) [87][4500/5005] lr: 1.0000e-03 eta: 3:13:21 time: 0.1759 data_time: 0.0030 loss: 0.9816 03/11 07:49:16 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:49:21 - mmengine - INFO - Epoch(train) [87][4600/5005] lr: 1.0000e-03 eta: 3:13:04 time: 0.1744 data_time: 0.0035 loss: 1.0021 03/11 07:49:38 - mmengine - INFO - Epoch(train) [87][4700/5005] lr: 1.0000e-03 eta: 3:12:46 time: 0.1707 data_time: 0.0034 loss: 0.9272 03/11 07:49:56 - mmengine - INFO - Epoch(train) [87][4800/5005] lr: 1.0000e-03 eta: 3:12:28 time: 0.1720 data_time: 0.0030 loss: 0.9073 03/11 07:50:13 - mmengine - INFO - Epoch(train) [87][4900/5005] lr: 1.0000e-03 eta: 3:12:10 time: 0.1707 data_time: 0.0031 loss: 1.0683 03/11 07:50:30 - mmengine - INFO - Epoch(train) [87][5000/5005] lr: 1.0000e-03 eta: 3:11:52 time: 0.1702 data_time: 0.0030 loss: 0.8775 03/11 07:50:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:50:36 - mmengine - INFO - Saving checkpoint at 87 epochs 03/11 07:50:57 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:00:19 time: 0.0157 data_time: 0.0004 03/11 07:51:12 - mmengine - INFO - Epoch(val) [87][196/196] accuracy/top1: 76.6180 accuracy/top5: 93.2580 03/11 07:51:50 - mmengine - INFO - Epoch(train) [88][ 100/5005] lr: 1.0000e-03 eta: 3:11:37 time: 0.1728 data_time: 0.0038 loss: 1.0990 03/11 07:52:07 - mmengine - INFO - Epoch(train) [88][ 200/5005] lr: 1.0000e-03 eta: 3:11:19 time: 0.1741 data_time: 0.0038 loss: 0.8480 03/11 07:52:25 - mmengine - INFO - Epoch(train) [88][ 300/5005] lr: 1.0000e-03 eta: 3:11:01 time: 0.1763 data_time: 0.0034 loss: 0.9670 03/11 07:52:43 - mmengine - INFO - Epoch(train) [88][ 400/5005] lr: 1.0000e-03 eta: 3:10:44 time: 0.1709 data_time: 0.0034 loss: 0.8660 03/11 07:53:01 - mmengine - INFO - Epoch(train) [88][ 500/5005] lr: 1.0000e-03 eta: 3:10:26 time: 0.1698 data_time: 0.0032 loss: 1.0611 03/11 07:53:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:53:19 - mmengine - INFO - Epoch(train) [88][ 600/5005] lr: 1.0000e-03 eta: 3:10:08 time: 0.1757 data_time: 0.0032 loss: 0.7970 03/11 07:53:37 - mmengine - INFO - Epoch(train) [88][ 700/5005] lr: 1.0000e-03 eta: 3:09:51 time: 0.1944 data_time: 0.0031 loss: 1.0093 03/11 07:53:55 - mmengine - INFO - Epoch(train) [88][ 800/5005] lr: 1.0000e-03 eta: 3:09:33 time: 0.2235 data_time: 0.0033 loss: 1.0085 03/11 07:54:12 - mmengine - INFO - Epoch(train) [88][ 900/5005] lr: 1.0000e-03 eta: 3:09:15 time: 0.1718 data_time: 0.0032 loss: 1.0503 03/11 07:54:30 - mmengine - INFO - Epoch(train) [88][1000/5005] lr: 1.0000e-03 eta: 3:08:58 time: 0.1736 data_time: 0.0030 loss: 1.0147 03/11 07:54:48 - mmengine - INFO - Epoch(train) [88][1100/5005] lr: 1.0000e-03 eta: 3:08:40 time: 0.1748 data_time: 0.0031 loss: 0.8461 03/11 07:55:05 - mmengine - INFO - Epoch(train) [88][1200/5005] lr: 1.0000e-03 eta: 3:08:22 time: 0.1720 data_time: 0.0034 loss: 0.8476 03/11 07:55:23 - mmengine - INFO - Epoch(train) [88][1300/5005] lr: 1.0000e-03 eta: 3:08:04 time: 0.1758 data_time: 0.0031 loss: 1.1473 03/11 07:55:41 - mmengine - INFO - Epoch(train) [88][1400/5005] lr: 1.0000e-03 eta: 3:07:47 time: 0.1735 data_time: 0.0033 loss: 0.8951 03/11 07:55:59 - mmengine - INFO - Epoch(train) [88][1500/5005] lr: 1.0000e-03 eta: 3:07:29 time: 0.1739 data_time: 0.0030 loss: 0.9270 03/11 07:56:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:56:17 - mmengine - INFO - Epoch(train) [88][1600/5005] lr: 1.0000e-03 eta: 3:07:11 time: 0.1719 data_time: 0.0030 loss: 0.9510 03/11 07:56:35 - mmengine - INFO - Epoch(train) [88][1700/5005] lr: 1.0000e-03 eta: 3:06:54 time: 0.1904 data_time: 0.0031 loss: 0.9847 03/11 07:56:52 - mmengine - INFO - Epoch(train) [88][1800/5005] lr: 1.0000e-03 eta: 3:06:36 time: 0.1741 data_time: 0.0035 loss: 0.9441 03/11 07:57:10 - mmengine - INFO - Epoch(train) [88][1900/5005] lr: 1.0000e-03 eta: 3:06:18 time: 0.1737 data_time: 0.0032 loss: 1.0777 03/11 07:57:28 - mmengine - INFO - Epoch(train) [88][2000/5005] lr: 1.0000e-03 eta: 3:06:00 time: 0.1890 data_time: 0.0032 loss: 0.8792 03/11 07:57:45 - mmengine - INFO - Epoch(train) [88][2100/5005] lr: 1.0000e-03 eta: 3:05:43 time: 0.1724 data_time: 0.0030 loss: 0.9367 03/11 07:58:03 - mmengine - INFO - Epoch(train) [88][2200/5005] lr: 1.0000e-03 eta: 3:05:25 time: 0.1724 data_time: 0.0031 loss: 0.8787 03/11 07:58:21 - mmengine - INFO - Epoch(train) [88][2300/5005] lr: 1.0000e-03 eta: 3:05:07 time: 0.1710 data_time: 0.0030 loss: 0.8219 03/11 07:58:38 - mmengine - INFO - Epoch(train) [88][2400/5005] lr: 1.0000e-03 eta: 3:04:49 time: 0.1744 data_time: 0.0028 loss: 0.9327 03/11 07:58:56 - mmengine - INFO - Epoch(train) [88][2500/5005] lr: 1.0000e-03 eta: 3:04:32 time: 0.1712 data_time: 0.0030 loss: 0.7954 03/11 07:59:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 07:59:14 - mmengine - INFO - Epoch(train) [88][2600/5005] lr: 1.0000e-03 eta: 3:04:14 time: 0.1726 data_time: 0.0032 loss: 0.9390 03/11 07:59:31 - mmengine - INFO - Epoch(train) [88][2700/5005] lr: 1.0000e-03 eta: 3:03:56 time: 0.1709 data_time: 0.0031 loss: 0.9410 03/11 07:59:49 - mmengine - INFO - Epoch(train) [88][2800/5005] lr: 1.0000e-03 eta: 3:03:39 time: 0.1715 data_time: 0.0033 loss: 0.8845 03/11 08:00:07 - mmengine - INFO - Epoch(train) [88][2900/5005] lr: 1.0000e-03 eta: 3:03:21 time: 0.1720 data_time: 0.0030 loss: 1.0469 03/11 08:00:24 - mmengine - INFO - Epoch(train) [88][3000/5005] lr: 1.0000e-03 eta: 3:03:03 time: 0.1722 data_time: 0.0030 loss: 1.0379 03/11 08:00:42 - mmengine - INFO - Epoch(train) [88][3100/5005] lr: 1.0000e-03 eta: 3:02:45 time: 0.1720 data_time: 0.0030 loss: 0.9864 03/11 08:00:59 - mmengine - INFO - Epoch(train) [88][3200/5005] lr: 1.0000e-03 eta: 3:02:28 time: 0.1728 data_time: 0.0032 loss: 0.9289 03/11 08:01:17 - mmengine - INFO - Epoch(train) [88][3300/5005] lr: 1.0000e-03 eta: 3:02:10 time: 0.1728 data_time: 0.0033 loss: 1.0308 03/11 08:01:35 - mmengine - INFO - Epoch(train) [88][3400/5005] lr: 1.0000e-03 eta: 3:01:52 time: 0.1731 data_time: 0.0032 loss: 0.7540 03/11 08:01:53 - mmengine - INFO - Epoch(train) [88][3500/5005] lr: 1.0000e-03 eta: 3:01:35 time: 0.1704 data_time: 0.0034 loss: 0.9559 03/11 08:02:04 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:02:10 - mmengine - INFO - Epoch(train) [88][3600/5005] lr: 1.0000e-03 eta: 3:01:17 time: 0.1763 data_time: 0.0030 loss: 1.0154 03/11 08:02:28 - mmengine - INFO - Epoch(train) [88][3700/5005] lr: 1.0000e-03 eta: 3:00:59 time: 0.1725 data_time: 0.0032 loss: 0.8540 03/11 08:02:46 - mmengine - INFO - Epoch(train) [88][3800/5005] lr: 1.0000e-03 eta: 3:00:41 time: 0.1744 data_time: 0.0033 loss: 1.0173 03/11 08:03:03 - mmengine - INFO - Epoch(train) [88][3900/5005] lr: 1.0000e-03 eta: 3:00:24 time: 0.1922 data_time: 0.0031 loss: 0.8061 03/11 08:03:21 - mmengine - INFO - Epoch(train) [88][4000/5005] lr: 1.0000e-03 eta: 3:00:06 time: 0.1726 data_time: 0.0030 loss: 0.8571 03/11 08:03:38 - mmengine - INFO - Epoch(train) [88][4100/5005] lr: 1.0000e-03 eta: 2:59:48 time: 0.1934 data_time: 0.0033 loss: 1.0607 03/11 08:03:56 - mmengine - INFO - Epoch(train) [88][4200/5005] lr: 1.0000e-03 eta: 2:59:30 time: 0.1717 data_time: 0.0030 loss: 0.9787 03/11 08:04:14 - mmengine - INFO - Epoch(train) [88][4300/5005] lr: 1.0000e-03 eta: 2:59:13 time: 0.1850 data_time: 0.0031 loss: 0.8627 03/11 08:04:31 - mmengine - INFO - Epoch(train) [88][4400/5005] lr: 1.0000e-03 eta: 2:58:55 time: 0.1741 data_time: 0.0030 loss: 0.9589 03/11 08:04:49 - mmengine - INFO - Epoch(train) [88][4500/5005] lr: 1.0000e-03 eta: 2:58:37 time: 0.1726 data_time: 0.0032 loss: 0.9537 03/11 08:05:00 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:05:06 - mmengine - INFO - Epoch(train) [88][4600/5005] lr: 1.0000e-03 eta: 2:58:19 time: 0.1735 data_time: 0.0032 loss: 0.8192 03/11 08:05:24 - mmengine - INFO - Epoch(train) [88][4700/5005] lr: 1.0000e-03 eta: 2:58:02 time: 0.1722 data_time: 0.0029 loss: 0.8910 03/11 08:05:41 - mmengine - INFO - Epoch(train) [88][4800/5005] lr: 1.0000e-03 eta: 2:57:44 time: 0.1726 data_time: 0.0030 loss: 0.9636 03/11 08:05:59 - mmengine - INFO - Epoch(train) [88][4900/5005] lr: 1.0000e-03 eta: 2:57:26 time: 0.1772 data_time: 0.0030 loss: 0.8278 03/11 08:06:16 - mmengine - INFO - Epoch(train) [88][5000/5005] lr: 1.0000e-03 eta: 2:57:08 time: 0.1710 data_time: 0.0029 loss: 0.7328 03/11 08:06:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:06:22 - mmengine - INFO - Saving checkpoint at 88 epochs 03/11 08:06:43 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:00:19 time: 0.0192 data_time: 0.0004 03/11 08:06:58 - mmengine - INFO - Epoch(val) [88][196/196] accuracy/top1: 76.6260 accuracy/top5: 93.2700 03/11 08:07:36 - mmengine - INFO - Epoch(train) [89][ 100/5005] lr: 1.0000e-03 eta: 2:56:53 time: 0.1924 data_time: 0.0041 loss: 0.8902 03/11 08:07:53 - mmengine - INFO - Epoch(train) [89][ 200/5005] lr: 1.0000e-03 eta: 2:56:35 time: 0.1752 data_time: 0.0037 loss: 1.0090 03/11 08:08:11 - mmengine - INFO - Epoch(train) [89][ 300/5005] lr: 1.0000e-03 eta: 2:56:17 time: 0.2191 data_time: 0.0032 loss: 0.7214 03/11 08:08:30 - mmengine - INFO - Epoch(train) [89][ 400/5005] lr: 1.0000e-03 eta: 2:55:59 time: 0.1744 data_time: 0.0030 loss: 1.0064 03/11 08:08:47 - mmengine - INFO - Epoch(train) [89][ 500/5005] lr: 1.0000e-03 eta: 2:55:42 time: 0.1765 data_time: 0.0033 loss: 0.9035 03/11 08:08:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:09:05 - mmengine - INFO - Epoch(train) [89][ 600/5005] lr: 1.0000e-03 eta: 2:55:24 time: 0.1732 data_time: 0.0030 loss: 0.9582 03/11 08:09:23 - mmengine - INFO - Epoch(train) [89][ 700/5005] lr: 1.0000e-03 eta: 2:55:06 time: 0.1724 data_time: 0.0030 loss: 0.9676 03/11 08:09:41 - mmengine - INFO - Epoch(train) [89][ 800/5005] lr: 1.0000e-03 eta: 2:54:49 time: 0.1737 data_time: 0.0029 loss: 1.0511 03/11 08:09:59 - mmengine - INFO - Epoch(train) [89][ 900/5005] lr: 1.0000e-03 eta: 2:54:31 time: 0.1726 data_time: 0.0030 loss: 0.9964 03/11 08:10:17 - mmengine - INFO - Epoch(train) [89][1000/5005] lr: 1.0000e-03 eta: 2:54:13 time: 0.1971 data_time: 0.0032 loss: 0.9173 03/11 08:10:35 - mmengine - INFO - Epoch(train) [89][1100/5005] lr: 1.0000e-03 eta: 2:53:56 time: 0.1732 data_time: 0.0031 loss: 0.8650 03/11 08:10:53 - mmengine - INFO - Epoch(train) [89][1200/5005] lr: 1.0000e-03 eta: 2:53:38 time: 0.1750 data_time: 0.0032 loss: 0.9867 03/11 08:11:10 - mmengine - INFO - Epoch(train) [89][1300/5005] lr: 1.0000e-03 eta: 2:53:20 time: 0.1900 data_time: 0.0029 loss: 0.8102 03/11 08:11:28 - mmengine - INFO - Epoch(train) [89][1400/5005] lr: 1.0000e-03 eta: 2:53:02 time: 0.1730 data_time: 0.0030 loss: 0.8321 03/11 08:11:45 - mmengine - INFO - Epoch(train) [89][1500/5005] lr: 1.0000e-03 eta: 2:52:45 time: 0.1715 data_time: 0.0030 loss: 0.7436 03/11 08:11:56 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:12:03 - mmengine - INFO - Epoch(train) [89][1600/5005] lr: 1.0000e-03 eta: 2:52:27 time: 0.1719 data_time: 0.0030 loss: 0.8820 03/11 08:12:21 - mmengine - INFO - Epoch(train) [89][1700/5005] lr: 1.0000e-03 eta: 2:52:09 time: 0.1725 data_time: 0.0034 loss: 0.9597 03/11 08:12:39 - mmengine - INFO - Epoch(train) [89][1800/5005] lr: 1.0000e-03 eta: 2:51:51 time: 0.1721 data_time: 0.0033 loss: 0.8838 03/11 08:12:56 - mmengine - INFO - Epoch(train) [89][1900/5005] lr: 1.0000e-03 eta: 2:51:34 time: 0.1715 data_time: 0.0031 loss: 0.8893 03/11 08:13:14 - mmengine - INFO - Epoch(train) [89][2000/5005] lr: 1.0000e-03 eta: 2:51:16 time: 0.1936 data_time: 0.0031 loss: 1.0212 03/11 08:13:32 - mmengine - INFO - Epoch(train) [89][2100/5005] lr: 1.0000e-03 eta: 2:50:58 time: 0.1697 data_time: 0.0031 loss: 0.8864 03/11 08:13:49 - mmengine - INFO - Epoch(train) [89][2200/5005] lr: 1.0000e-03 eta: 2:50:41 time: 0.1736 data_time: 0.0032 loss: 0.9157 03/11 08:14:07 - mmengine - INFO - Epoch(train) [89][2300/5005] lr: 1.0000e-03 eta: 2:50:23 time: 0.1733 data_time: 0.0034 loss: 1.0014 03/11 08:14:25 - mmengine - INFO - Epoch(train) [89][2400/5005] lr: 1.0000e-03 eta: 2:50:05 time: 0.1729 data_time: 0.0032 loss: 0.8993 03/11 08:14:43 - mmengine - INFO - Epoch(train) [89][2500/5005] lr: 1.0000e-03 eta: 2:49:47 time: 0.1720 data_time: 0.0032 loss: 0.8377 03/11 08:14:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:15:00 - mmengine - INFO - Epoch(train) [89][2600/5005] lr: 1.0000e-03 eta: 2:49:30 time: 0.1728 data_time: 0.0033 loss: 0.9137 03/11 08:15:18 - mmengine - INFO - Epoch(train) [89][2700/5005] lr: 1.0000e-03 eta: 2:49:12 time: 0.1720 data_time: 0.0034 loss: 0.8996 03/11 08:15:35 - mmengine - INFO - Epoch(train) [89][2800/5005] lr: 1.0000e-03 eta: 2:48:54 time: 0.1735 data_time: 0.0034 loss: 0.7697 03/11 08:15:53 - mmengine - INFO - Epoch(train) [89][2900/5005] lr: 1.0000e-03 eta: 2:48:36 time: 0.1736 data_time: 0.0036 loss: 0.8354 03/11 08:16:11 - mmengine - INFO - Epoch(train) [89][3000/5005] lr: 1.0000e-03 eta: 2:48:19 time: 0.1713 data_time: 0.0031 loss: 0.8807 03/11 08:16:28 - mmengine - INFO - Epoch(train) [89][3100/5005] lr: 1.0000e-03 eta: 2:48:01 time: 0.1712 data_time: 0.0031 loss: 0.8554 03/11 08:16:46 - mmengine - INFO - Epoch(train) [89][3200/5005] lr: 1.0000e-03 eta: 2:47:43 time: 0.1705 data_time: 0.0032 loss: 0.9385 03/11 08:17:03 - mmengine - INFO - Epoch(train) [89][3300/5005] lr: 1.0000e-03 eta: 2:47:26 time: 0.1738 data_time: 0.0033 loss: 0.9254 03/11 08:17:21 - mmengine - INFO - Epoch(train) [89][3400/5005] lr: 1.0000e-03 eta: 2:47:08 time: 0.1723 data_time: 0.0032 loss: 0.9954 03/11 08:17:39 - mmengine - INFO - Epoch(train) [89][3500/5005] lr: 1.0000e-03 eta: 2:46:50 time: 0.1702 data_time: 0.0033 loss: 0.8906 03/11 08:17:49 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:17:57 - mmengine - INFO - Epoch(train) [89][3600/5005] lr: 1.0000e-03 eta: 2:46:32 time: 0.1724 data_time: 0.0034 loss: 0.9718 03/11 08:18:14 - mmengine - INFO - Epoch(train) [89][3700/5005] lr: 1.0000e-03 eta: 2:46:15 time: 0.1733 data_time: 0.0032 loss: 1.0170 03/11 08:18:32 - mmengine - INFO - Epoch(train) [89][3800/5005] lr: 1.0000e-03 eta: 2:45:57 time: 0.1703 data_time: 0.0031 loss: 0.9328 03/11 08:18:49 - mmengine - INFO - Epoch(train) [89][3900/5005] lr: 1.0000e-03 eta: 2:45:39 time: 0.1728 data_time: 0.0032 loss: 0.8549 03/11 08:19:07 - mmengine - INFO - Epoch(train) [89][4000/5005] lr: 1.0000e-03 eta: 2:45:21 time: 0.1748 data_time: 0.0034 loss: 0.9044 03/11 08:19:25 - mmengine - INFO - Epoch(train) [89][4100/5005] lr: 1.0000e-03 eta: 2:45:04 time: 0.1726 data_time: 0.0032 loss: 0.8115 03/11 08:19:43 - mmengine - INFO - Epoch(train) [89][4200/5005] lr: 1.0000e-03 eta: 2:44:46 time: 0.1718 data_time: 0.0030 loss: 0.9136 03/11 08:20:00 - mmengine - INFO - Epoch(train) [89][4300/5005] lr: 1.0000e-03 eta: 2:44:28 time: 0.1731 data_time: 0.0034 loss: 1.0469 03/11 08:20:18 - mmengine - INFO - Epoch(train) [89][4400/5005] lr: 1.0000e-03 eta: 2:44:11 time: 0.1746 data_time: 0.0029 loss: 0.9762 03/11 08:20:36 - mmengine - INFO - Epoch(train) [89][4500/5005] lr: 1.0000e-03 eta: 2:43:53 time: 0.1725 data_time: 0.0030 loss: 0.9433 03/11 08:20:46 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:20:53 - mmengine - INFO - Epoch(train) [89][4600/5005] lr: 1.0000e-03 eta: 2:43:35 time: 0.1708 data_time: 0.0034 loss: 0.8710 03/11 08:21:11 - mmengine - INFO - Epoch(train) [89][4700/5005] lr: 1.0000e-03 eta: 2:43:17 time: 0.1881 data_time: 0.0033 loss: 0.9578 03/11 08:21:29 - mmengine - INFO - Epoch(train) [89][4800/5005] lr: 1.0000e-03 eta: 2:43:00 time: 0.1704 data_time: 0.0032 loss: 0.8987 03/11 08:21:46 - mmengine - INFO - Epoch(train) [89][4900/5005] lr: 1.0000e-03 eta: 2:42:42 time: 0.1696 data_time: 0.0028 loss: 0.9387 03/11 08:22:03 - mmengine - INFO - Epoch(train) [89][5000/5005] lr: 1.0000e-03 eta: 2:42:24 time: 0.1693 data_time: 0.0029 loss: 0.9597 03/11 08:22:04 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:22:09 - mmengine - INFO - Saving checkpoint at 89 epochs 03/11 08:22:30 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:00:19 time: 0.0162 data_time: 0.0004 03/11 08:22:44 - mmengine - INFO - Epoch(val) [89][196/196] accuracy/top1: 76.5940 accuracy/top5: 93.2320 03/11 08:23:23 - mmengine - INFO - Epoch(train) [90][ 100/5005] lr: 1.0000e-03 eta: 2:42:08 time: 0.1915 data_time: 0.0042 loss: 0.9245 03/11 08:23:40 - mmengine - INFO - Epoch(train) [90][ 200/5005] lr: 1.0000e-03 eta: 2:41:50 time: 0.1759 data_time: 0.0036 loss: 0.8067 03/11 08:23:58 - mmengine - INFO - Epoch(train) [90][ 300/5005] lr: 1.0000e-03 eta: 2:41:33 time: 0.1749 data_time: 0.0040 loss: 0.9193 03/11 08:24:16 - mmengine - INFO - Epoch(train) [90][ 400/5005] lr: 1.0000e-03 eta: 2:41:15 time: 0.1756 data_time: 0.0036 loss: 0.8421 03/11 08:24:34 - mmengine - INFO - Epoch(train) [90][ 500/5005] lr: 1.0000e-03 eta: 2:40:57 time: 0.1744 data_time: 0.0031 loss: 0.8126 03/11 08:24:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:24:52 - mmengine - INFO - Epoch(train) [90][ 600/5005] lr: 1.0000e-03 eta: 2:40:40 time: 0.1759 data_time: 0.0034 loss: 0.9405 03/11 08:25:10 - mmengine - INFO - Epoch(train) [90][ 700/5005] lr: 1.0000e-03 eta: 2:40:22 time: 0.1738 data_time: 0.0035 loss: 0.9018 03/11 08:25:28 - mmengine - INFO - Epoch(train) [90][ 800/5005] lr: 1.0000e-03 eta: 2:40:04 time: 0.1880 data_time: 0.0031 loss: 0.9026 03/11 08:25:46 - mmengine - INFO - Epoch(train) [90][ 900/5005] lr: 1.0000e-03 eta: 2:39:47 time: 0.1930 data_time: 0.0035 loss: 0.9200 03/11 08:26:04 - mmengine - INFO - Epoch(train) [90][1000/5005] lr: 1.0000e-03 eta: 2:39:29 time: 0.1753 data_time: 0.0028 loss: 0.9732 03/11 08:26:21 - mmengine - INFO - Epoch(train) [90][1100/5005] lr: 1.0000e-03 eta: 2:39:11 time: 0.1725 data_time: 0.0031 loss: 0.9408 03/11 08:26:39 - mmengine - INFO - Epoch(train) [90][1200/5005] lr: 1.0000e-03 eta: 2:38:53 time: 0.1746 data_time: 0.0033 loss: 1.0469 03/11 08:26:57 - mmengine - INFO - Epoch(train) [90][1300/5005] lr: 1.0000e-03 eta: 2:38:36 time: 0.1812 data_time: 0.0034 loss: 0.9424 03/11 08:27:14 - mmengine - INFO - Epoch(train) [90][1400/5005] lr: 1.0000e-03 eta: 2:38:18 time: 0.1708 data_time: 0.0032 loss: 1.1129 03/11 08:27:32 - mmengine - INFO - Epoch(train) [90][1500/5005] lr: 1.0000e-03 eta: 2:38:00 time: 0.1895 data_time: 0.0032 loss: 0.9184 03/11 08:27:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:27:50 - mmengine - INFO - Epoch(train) [90][1600/5005] lr: 1.0000e-03 eta: 2:37:42 time: 0.1895 data_time: 0.0033 loss: 0.9657 03/11 08:28:08 - mmengine - INFO - Epoch(train) [90][1700/5005] lr: 1.0000e-03 eta: 2:37:25 time: 0.1730 data_time: 0.0032 loss: 0.8369 03/11 08:28:25 - mmengine - INFO - Epoch(train) [90][1800/5005] lr: 1.0000e-03 eta: 2:37:07 time: 0.1733 data_time: 0.0033 loss: 1.0296 03/11 08:28:43 - mmengine - INFO - Epoch(train) [90][1900/5005] lr: 1.0000e-03 eta: 2:36:49 time: 0.1724 data_time: 0.0030 loss: 0.9839 03/11 08:29:01 - mmengine - INFO - Epoch(train) [90][2000/5005] lr: 1.0000e-03 eta: 2:36:31 time: 0.1726 data_time: 0.0031 loss: 0.8336 03/11 08:29:18 - mmengine - INFO - Epoch(train) [90][2100/5005] lr: 1.0000e-03 eta: 2:36:14 time: 0.1709 data_time: 0.0032 loss: 0.8561 03/11 08:29:36 - mmengine - INFO - Epoch(train) [90][2200/5005] lr: 1.0000e-03 eta: 2:35:56 time: 0.1892 data_time: 0.0031 loss: 0.6164 03/11 08:29:54 - mmengine - INFO - Epoch(train) [90][2300/5005] lr: 1.0000e-03 eta: 2:35:38 time: 0.1741 data_time: 0.0030 loss: 0.9575 03/11 08:30:11 - mmengine - INFO - Epoch(train) [90][2400/5005] lr: 1.0000e-03 eta: 2:35:21 time: 0.1727 data_time: 0.0031 loss: 0.9942 03/11 08:30:29 - mmengine - INFO - Epoch(train) [90][2500/5005] lr: 1.0000e-03 eta: 2:35:03 time: 0.1722 data_time: 0.0031 loss: 0.8196 03/11 08:30:38 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:30:46 - mmengine - INFO - Epoch(train) [90][2600/5005] lr: 1.0000e-03 eta: 2:34:45 time: 0.1726 data_time: 0.0033 loss: 1.0717 03/11 08:31:04 - mmengine - INFO - Epoch(train) [90][2700/5005] lr: 1.0000e-03 eta: 2:34:27 time: 0.1720 data_time: 0.0033 loss: 0.9843 03/11 08:31:22 - mmengine - INFO - Epoch(train) [90][2800/5005] lr: 1.0000e-03 eta: 2:34:10 time: 0.1858 data_time: 0.0034 loss: 1.0872 03/11 08:31:40 - mmengine - INFO - Epoch(train) [90][2900/5005] lr: 1.0000e-03 eta: 2:33:52 time: 0.1715 data_time: 0.0031 loss: 0.7837 03/11 08:31:57 - mmengine - INFO - Epoch(train) [90][3000/5005] lr: 1.0000e-03 eta: 2:33:34 time: 0.1727 data_time: 0.0030 loss: 0.8914 03/11 08:32:15 - mmengine - INFO - Epoch(train) [90][3100/5005] lr: 1.0000e-03 eta: 2:33:16 time: 0.1741 data_time: 0.0032 loss: 0.8030 03/11 08:32:33 - mmengine - INFO - Epoch(train) [90][3200/5005] lr: 1.0000e-03 eta: 2:32:59 time: 0.1733 data_time: 0.0029 loss: 1.0161 03/11 08:32:50 - mmengine - INFO - Epoch(train) [90][3300/5005] lr: 1.0000e-03 eta: 2:32:41 time: 0.1765 data_time: 0.0032 loss: 0.9480 03/11 08:33:08 - mmengine - INFO - Epoch(train) [90][3400/5005] lr: 1.0000e-03 eta: 2:32:23 time: 0.1872 data_time: 0.0033 loss: 0.8311 03/11 08:33:26 - mmengine - INFO - Epoch(train) [90][3500/5005] lr: 1.0000e-03 eta: 2:32:06 time: 0.1712 data_time: 0.0033 loss: 0.8974 03/11 08:33:36 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:33:44 - mmengine - INFO - Epoch(train) [90][3600/5005] lr: 1.0000e-03 eta: 2:31:48 time: 0.1736 data_time: 0.0034 loss: 0.7365 03/11 08:34:01 - mmengine - INFO - Epoch(train) [90][3700/5005] lr: 1.0000e-03 eta: 2:31:30 time: 0.1717 data_time: 0.0031 loss: 0.9235 03/11 08:34:19 - mmengine - INFO - Epoch(train) [90][3800/5005] lr: 1.0000e-03 eta: 2:31:12 time: 0.1725 data_time: 0.0031 loss: 0.9984 03/11 08:34:37 - mmengine - INFO - Epoch(train) [90][3900/5005] lr: 1.0000e-03 eta: 2:30:55 time: 0.1731 data_time: 0.0034 loss: 0.9308 03/11 08:34:54 - mmengine - INFO - Epoch(train) [90][4000/5005] lr: 1.0000e-03 eta: 2:30:37 time: 0.1745 data_time: 0.0032 loss: 1.0724 03/11 08:35:12 - mmengine - INFO - Epoch(train) [90][4100/5005] lr: 1.0000e-03 eta: 2:30:19 time: 0.1883 data_time: 0.0030 loss: 0.9897 03/11 08:35:30 - mmengine - INFO - Epoch(train) [90][4200/5005] lr: 1.0000e-03 eta: 2:30:02 time: 0.1736 data_time: 0.0030 loss: 0.9830 03/11 08:35:47 - mmengine - INFO - Epoch(train) [90][4300/5005] lr: 1.0000e-03 eta: 2:29:44 time: 0.1727 data_time: 0.0030 loss: 1.1084 03/11 08:36:05 - mmengine - INFO - Epoch(train) [90][4400/5005] lr: 1.0000e-03 eta: 2:29:26 time: 0.1735 data_time: 0.0031 loss: 0.8843 03/11 08:36:23 - mmengine - INFO - Epoch(train) [90][4500/5005] lr: 1.0000e-03 eta: 2:29:08 time: 0.1730 data_time: 0.0032 loss: 0.9587 03/11 08:36:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:36:41 - mmengine - INFO - Epoch(train) [90][4600/5005] lr: 1.0000e-03 eta: 2:28:51 time: 0.1723 data_time: 0.0032 loss: 0.8031 03/11 08:36:58 - mmengine - INFO - Epoch(train) [90][4700/5005] lr: 1.0000e-03 eta: 2:28:33 time: 0.1721 data_time: 0.0031 loss: 0.9995 03/11 08:37:16 - mmengine - INFO - Epoch(train) [90][4800/5005] lr: 1.0000e-03 eta: 2:28:15 time: 0.1722 data_time: 0.0032 loss: 0.9539 03/11 08:37:33 - mmengine - INFO - Epoch(train) [90][4900/5005] lr: 1.0000e-03 eta: 2:27:57 time: 0.1735 data_time: 0.0029 loss: 0.9261 03/11 08:37:51 - mmengine - INFO - Epoch(train) [90][5000/5005] lr: 1.0000e-03 eta: 2:27:40 time: 0.1713 data_time: 0.0031 loss: 0.8378 03/11 08:37:52 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:37:57 - mmengine - INFO - Saving checkpoint at 90 epochs 03/11 08:38:19 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:00:20 time: 0.0148 data_time: 0.0002 03/11 08:38:33 - mmengine - INFO - Epoch(val) [90][196/196] accuracy/top1: 76.6960 accuracy/top5: 93.2220 03/11 08:39:12 - mmengine - INFO - Epoch(train) [91][ 100/5005] lr: 1.0000e-04 eta: 2:27:23 time: 0.1747 data_time: 0.0039 loss: 1.0193 03/11 08:39:30 - mmengine - INFO - Epoch(train) [91][ 200/5005] lr: 1.0000e-04 eta: 2:27:06 time: 0.1826 data_time: 0.0047 loss: 0.8660 03/11 08:39:48 - mmengine - INFO - Epoch(train) [91][ 300/5005] lr: 1.0000e-04 eta: 2:26:48 time: 0.1753 data_time: 0.0053 loss: 0.9082 03/11 08:40:06 - mmengine - INFO - Epoch(train) [91][ 400/5005] lr: 1.0000e-04 eta: 2:26:30 time: 0.1721 data_time: 0.0035 loss: 0.9334 03/11 08:40:24 - mmengine - INFO - Epoch(train) [91][ 500/5005] lr: 1.0000e-04 eta: 2:26:13 time: 0.1727 data_time: 0.0035 loss: 0.8957 03/11 08:40:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:40:41 - mmengine - INFO - Epoch(train) [91][ 600/5005] lr: 1.0000e-04 eta: 2:25:55 time: 0.1746 data_time: 0.0032 loss: 0.6685 03/11 08:41:00 - mmengine - INFO - Epoch(train) [91][ 700/5005] lr: 1.0000e-04 eta: 2:25:37 time: 0.1982 data_time: 0.0031 loss: 0.8571 03/11 08:41:17 - mmengine - INFO - Epoch(train) [91][ 800/5005] lr: 1.0000e-04 eta: 2:25:19 time: 0.1751 data_time: 0.0032 loss: 0.8546 03/11 08:41:36 - mmengine - INFO - Epoch(train) [91][ 900/5005] lr: 1.0000e-04 eta: 2:25:02 time: 0.1744 data_time: 0.0035 loss: 0.8933 03/11 08:41:53 - mmengine - INFO - Epoch(train) [91][1000/5005] lr: 1.0000e-04 eta: 2:24:44 time: 0.1753 data_time: 0.0031 loss: 0.8244 03/11 08:42:11 - mmengine - INFO - Epoch(train) [91][1100/5005] lr: 1.0000e-04 eta: 2:24:26 time: 0.1743 data_time: 0.0032 loss: 0.9475 03/11 08:42:29 - mmengine - INFO - Epoch(train) [91][1200/5005] lr: 1.0000e-04 eta: 2:24:09 time: 0.1714 data_time: 0.0034 loss: 0.8498 03/11 08:42:47 - mmengine - INFO - Epoch(train) [91][1300/5005] lr: 1.0000e-04 eta: 2:23:51 time: 0.1725 data_time: 0.0033 loss: 0.9451 03/11 08:43:05 - mmengine - INFO - Epoch(train) [91][1400/5005] lr: 1.0000e-04 eta: 2:23:33 time: 0.1878 data_time: 0.0032 loss: 0.9539 03/11 08:43:23 - mmengine - INFO - Epoch(train) [91][1500/5005] lr: 1.0000e-04 eta: 2:23:16 time: 0.1735 data_time: 0.0032 loss: 0.9159 03/11 08:43:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:43:40 - mmengine - INFO - Epoch(train) [91][1600/5005] lr: 1.0000e-04 eta: 2:22:58 time: 0.1741 data_time: 0.0032 loss: 0.8626 03/11 08:43:58 - mmengine - INFO - Epoch(train) [91][1700/5005] lr: 1.0000e-04 eta: 2:22:40 time: 0.1872 data_time: 0.0032 loss: 0.9432 03/11 08:44:16 - mmengine - INFO - Epoch(train) [91][1800/5005] lr: 1.0000e-04 eta: 2:22:22 time: 0.1721 data_time: 0.0033 loss: 0.9089 03/11 08:44:33 - mmengine - INFO - Epoch(train) [91][1900/5005] lr: 1.0000e-04 eta: 2:22:05 time: 0.1725 data_time: 0.0035 loss: 0.8835 03/11 08:44:51 - mmengine - INFO - Epoch(train) [91][2000/5005] lr: 1.0000e-04 eta: 2:21:47 time: 0.1907 data_time: 0.0030 loss: 0.9805 03/11 08:45:09 - mmengine - INFO - Epoch(train) [91][2100/5005] lr: 1.0000e-04 eta: 2:21:29 time: 0.1749 data_time: 0.0032 loss: 0.8062 03/11 08:45:27 - mmengine - INFO - Epoch(train) [91][2200/5005] lr: 1.0000e-04 eta: 2:21:12 time: 0.1740 data_time: 0.0033 loss: 0.8327 03/11 08:45:44 - mmengine - INFO - Epoch(train) [91][2300/5005] lr: 1.0000e-04 eta: 2:20:54 time: 0.1718 data_time: 0.0032 loss: 1.0254 03/11 08:46:02 - mmengine - INFO - Epoch(train) [91][2400/5005] lr: 1.0000e-04 eta: 2:20:36 time: 0.1748 data_time: 0.0031 loss: 0.8249 03/11 08:46:20 - mmengine - INFO - Epoch(train) [91][2500/5005] lr: 1.0000e-04 eta: 2:20:18 time: 0.1734 data_time: 0.0032 loss: 0.7636 03/11 08:46:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:46:37 - mmengine - INFO - Epoch(train) [91][2600/5005] lr: 1.0000e-04 eta: 2:20:01 time: 0.1875 data_time: 0.0033 loss: 0.8945 03/11 08:46:55 - mmengine - INFO - Epoch(train) [91][2700/5005] lr: 1.0000e-04 eta: 2:19:43 time: 0.1722 data_time: 0.0034 loss: 0.8739 03/11 08:47:13 - mmengine - INFO - Epoch(train) [91][2800/5005] lr: 1.0000e-04 eta: 2:19:25 time: 0.1755 data_time: 0.0033 loss: 0.7989 03/11 08:47:30 - mmengine - INFO - Epoch(train) [91][2900/5005] lr: 1.0000e-04 eta: 2:19:07 time: 0.1700 data_time: 0.0034 loss: 0.8308 03/11 08:47:48 - mmengine - INFO - Epoch(train) [91][3000/5005] lr: 1.0000e-04 eta: 2:18:50 time: 0.1734 data_time: 0.0032 loss: 0.7760 03/11 08:48:06 - mmengine - INFO - Epoch(train) [91][3100/5005] lr: 1.0000e-04 eta: 2:18:32 time: 0.1743 data_time: 0.0035 loss: 0.9863 03/11 08:48:24 - mmengine - INFO - Epoch(train) [91][3200/5005] lr: 1.0000e-04 eta: 2:18:14 time: 0.1733 data_time: 0.0031 loss: 0.7862 03/11 08:48:42 - mmengine - INFO - Epoch(train) [91][3300/5005] lr: 1.0000e-04 eta: 2:17:57 time: 0.1703 data_time: 0.0031 loss: 0.7917 03/11 08:48:59 - mmengine - INFO - Epoch(train) [91][3400/5005] lr: 1.0000e-04 eta: 2:17:39 time: 0.1749 data_time: 0.0031 loss: 0.9011 03/11 08:49:17 - mmengine - INFO - Epoch(train) [91][3500/5005] lr: 1.0000e-04 eta: 2:17:21 time: 0.1722 data_time: 0.0031 loss: 0.8758 03/11 08:49:26 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:49:35 - mmengine - INFO - Epoch(train) [91][3600/5005] lr: 1.0000e-04 eta: 2:17:03 time: 0.1717 data_time: 0.0035 loss: 0.8055 03/11 08:49:52 - mmengine - INFO - Epoch(train) [91][3700/5005] lr: 1.0000e-04 eta: 2:16:46 time: 0.1752 data_time: 0.0029 loss: 0.8608 03/11 08:50:10 - mmengine - INFO - Epoch(train) [91][3800/5005] lr: 1.0000e-04 eta: 2:16:28 time: 0.1723 data_time: 0.0031 loss: 0.6506 03/11 08:50:28 - mmengine - INFO - Epoch(train) [91][3900/5005] lr: 1.0000e-04 eta: 2:16:10 time: 0.1717 data_time: 0.0035 loss: 0.8428 03/11 08:50:46 - mmengine - INFO - Epoch(train) [91][4000/5005] lr: 1.0000e-04 eta: 2:15:52 time: 0.1890 data_time: 0.0030 loss: 0.8985 03/11 08:51:03 - mmengine - INFO - Epoch(train) [91][4100/5005] lr: 1.0000e-04 eta: 2:15:35 time: 0.1719 data_time: 0.0031 loss: 0.8858 03/11 08:51:21 - mmengine - INFO - Epoch(train) [91][4200/5005] lr: 1.0000e-04 eta: 2:15:17 time: 0.1713 data_time: 0.0032 loss: 0.8446 03/11 08:51:39 - mmengine - INFO - Epoch(train) [91][4300/5005] lr: 1.0000e-04 eta: 2:14:59 time: 0.1742 data_time: 0.0030 loss: 0.8956 03/11 08:51:57 - mmengine - INFO - Epoch(train) [91][4400/5005] lr: 1.0000e-04 eta: 2:14:42 time: 0.1889 data_time: 0.0030 loss: 0.9557 03/11 08:52:14 - mmengine - INFO - Epoch(train) [91][4500/5005] lr: 1.0000e-04 eta: 2:14:24 time: 0.1742 data_time: 0.0031 loss: 0.8738 03/11 08:52:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:52:32 - mmengine - INFO - Epoch(train) [91][4600/5005] lr: 1.0000e-04 eta: 2:14:06 time: 0.1708 data_time: 0.0032 loss: 0.7454 03/11 08:52:49 - mmengine - INFO - Epoch(train) [91][4700/5005] lr: 1.0000e-04 eta: 2:13:48 time: 0.1739 data_time: 0.0032 loss: 0.7902 03/11 08:53:07 - mmengine - INFO - Epoch(train) [91][4800/5005] lr: 1.0000e-04 eta: 2:13:31 time: 0.1788 data_time: 0.0028 loss: 0.8980 03/11 08:53:24 - mmengine - INFO - Epoch(train) [91][4900/5005] lr: 1.0000e-04 eta: 2:13:13 time: 0.1729 data_time: 0.0033 loss: 0.9557 03/11 08:53:42 - mmengine - INFO - Epoch(train) [91][5000/5005] lr: 1.0000e-04 eta: 2:12:55 time: 0.1765 data_time: 0.0034 loss: 0.9518 03/11 08:53:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:53:47 - mmengine - INFO - Saving checkpoint at 91 epochs 03/11 08:54:09 - mmengine - INFO - Epoch(val) [91][100/196] eta: 0:00:19 time: 0.0190 data_time: 0.0004 03/11 08:54:23 - mmengine - INFO - Epoch(val) [91][196/196] accuracy/top1: 77.0760 accuracy/top5: 93.4060 03/11 08:55:02 - mmengine - INFO - Epoch(train) [92][ 100/5005] lr: 1.0000e-04 eta: 2:12:39 time: 0.1767 data_time: 0.0045 loss: 0.9615 03/11 08:55:20 - mmengine - INFO - Epoch(train) [92][ 200/5005] lr: 1.0000e-04 eta: 2:12:21 time: 0.2157 data_time: 0.0035 loss: 0.8517 03/11 08:55:38 - mmengine - INFO - Epoch(train) [92][ 300/5005] lr: 1.0000e-04 eta: 2:12:03 time: 0.1736 data_time: 0.0032 loss: 0.8007 03/11 08:55:56 - mmengine - INFO - Epoch(train) [92][ 400/5005] lr: 1.0000e-04 eta: 2:11:46 time: 0.1732 data_time: 0.0033 loss: 0.7861 03/11 08:56:14 - mmengine - INFO - Epoch(train) [92][ 500/5005] lr: 1.0000e-04 eta: 2:11:28 time: 0.1736 data_time: 0.0036 loss: 0.7404 03/11 08:56:22 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:56:32 - mmengine - INFO - Epoch(train) [92][ 600/5005] lr: 1.0000e-04 eta: 2:11:10 time: 0.1745 data_time: 0.0031 loss: 0.8197 03/11 08:56:50 - mmengine - INFO - Epoch(train) [92][ 700/5005] lr: 1.0000e-04 eta: 2:10:52 time: 0.1721 data_time: 0.0031 loss: 0.8563 03/11 08:57:07 - mmengine - INFO - Epoch(train) [92][ 800/5005] lr: 1.0000e-04 eta: 2:10:35 time: 0.1769 data_time: 0.0029 loss: 0.8271 03/11 08:57:25 - mmengine - INFO - Epoch(train) [92][ 900/5005] lr: 1.0000e-04 eta: 2:10:17 time: 0.1738 data_time: 0.0033 loss: 0.8748 03/11 08:57:44 - mmengine - INFO - Epoch(train) [92][1000/5005] lr: 1.0000e-04 eta: 2:09:59 time: 0.1724 data_time: 0.0034 loss: 0.8170 03/11 08:58:01 - mmengine - INFO - Epoch(train) [92][1100/5005] lr: 1.0000e-04 eta: 2:09:42 time: 0.1727 data_time: 0.0036 loss: 1.0672 03/11 08:58:19 - mmengine - INFO - Epoch(train) [92][1200/5005] lr: 1.0000e-04 eta: 2:09:24 time: 0.1735 data_time: 0.0033 loss: 1.0470 03/11 08:58:37 - mmengine - INFO - Epoch(train) [92][1300/5005] lr: 1.0000e-04 eta: 2:09:06 time: 0.1851 data_time: 0.0033 loss: 0.8536 03/11 08:58:55 - mmengine - INFO - Epoch(train) [92][1400/5005] lr: 1.0000e-04 eta: 2:08:48 time: 0.1713 data_time: 0.0033 loss: 0.8658 03/11 08:59:12 - mmengine - INFO - Epoch(train) [92][1500/5005] lr: 1.0000e-04 eta: 2:08:31 time: 0.1718 data_time: 0.0029 loss: 0.8669 03/11 08:59:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 08:59:31 - mmengine - INFO - Epoch(train) [92][1600/5005] lr: 1.0000e-04 eta: 2:08:13 time: 0.1766 data_time: 0.0031 loss: 0.9403 03/11 08:59:49 - mmengine - INFO - Epoch(train) [92][1700/5005] lr: 1.0000e-04 eta: 2:07:55 time: 0.1728 data_time: 0.0031 loss: 0.7692 03/11 09:00:06 - mmengine - INFO - Epoch(train) [92][1800/5005] lr: 1.0000e-04 eta: 2:07:38 time: 0.1730 data_time: 0.0032 loss: 0.9007 03/11 09:00:24 - mmengine - INFO - Epoch(train) [92][1900/5005] lr: 1.0000e-04 eta: 2:07:20 time: 0.1899 data_time: 0.0030 loss: 1.0055 03/11 09:00:42 - mmengine - INFO - Epoch(train) [92][2000/5005] lr: 1.0000e-04 eta: 2:07:02 time: 0.1719 data_time: 0.0032 loss: 0.7382 03/11 09:00:59 - mmengine - INFO - Epoch(train) [92][2100/5005] lr: 1.0000e-04 eta: 2:06:44 time: 0.1753 data_time: 0.0031 loss: 0.8985 03/11 09:01:17 - mmengine - INFO - Epoch(train) [92][2200/5005] lr: 1.0000e-04 eta: 2:06:27 time: 0.1756 data_time: 0.0033 loss: 1.0482 03/11 09:01:35 - mmengine - INFO - Epoch(train) [92][2300/5005] lr: 1.0000e-04 eta: 2:06:09 time: 0.1713 data_time: 0.0031 loss: 0.9797 03/11 09:01:52 - mmengine - INFO - Epoch(train) [92][2400/5005] lr: 1.0000e-04 eta: 2:05:51 time: 0.1735 data_time: 0.0031 loss: 0.9686 03/11 09:02:10 - mmengine - INFO - Epoch(train) [92][2500/5005] lr: 1.0000e-04 eta: 2:05:34 time: 0.1725 data_time: 0.0033 loss: 0.9242 03/11 09:02:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:02:28 - mmengine - INFO - Epoch(train) [92][2600/5005] lr: 1.0000e-04 eta: 2:05:16 time: 0.1728 data_time: 0.0033 loss: 0.8822 03/11 09:02:46 - mmengine - INFO - Epoch(train) [92][2700/5005] lr: 1.0000e-04 eta: 2:04:58 time: 0.1719 data_time: 0.0035 loss: 0.6716 03/11 09:03:03 - mmengine - INFO - Epoch(train) [92][2800/5005] lr: 1.0000e-04 eta: 2:04:40 time: 0.1768 data_time: 0.0030 loss: 0.7437 03/11 09:03:21 - mmengine - INFO - Epoch(train) [92][2900/5005] lr: 1.0000e-04 eta: 2:04:23 time: 0.1713 data_time: 0.0032 loss: 0.9198 03/11 09:03:39 - mmengine - INFO - Epoch(train) [92][3000/5005] lr: 1.0000e-04 eta: 2:04:05 time: 0.1731 data_time: 0.0031 loss: 0.8896 03/11 09:03:57 - mmengine - INFO - Epoch(train) [92][3100/5005] lr: 1.0000e-04 eta: 2:03:47 time: 0.1725 data_time: 0.0031 loss: 0.9003 03/11 09:04:14 - mmengine - INFO - Epoch(train) [92][3200/5005] lr: 1.0000e-04 eta: 2:03:29 time: 0.1745 data_time: 0.0033 loss: 0.8470 03/11 09:04:32 - mmengine - INFO - Epoch(train) [92][3300/5005] lr: 1.0000e-04 eta: 2:03:12 time: 0.1738 data_time: 0.0032 loss: 1.0081 03/11 09:04:50 - mmengine - INFO - Epoch(train) [92][3400/5005] lr: 1.0000e-04 eta: 2:02:54 time: 0.1731 data_time: 0.0032 loss: 0.9865 03/11 09:05:07 - mmengine - INFO - Epoch(train) [92][3500/5005] lr: 1.0000e-04 eta: 2:02:36 time: 0.1728 data_time: 0.0037 loss: 0.8253 03/11 09:05:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:05:25 - mmengine - INFO - Epoch(train) [92][3600/5005] lr: 1.0000e-04 eta: 2:02:19 time: 0.1729 data_time: 0.0032 loss: 0.9752 03/11 09:05:42 - mmengine - INFO - Epoch(train) [92][3700/5005] lr: 1.0000e-04 eta: 2:02:01 time: 0.1743 data_time: 0.0030 loss: 0.8828 03/11 09:06:00 - mmengine - INFO - Epoch(train) [92][3800/5005] lr: 1.0000e-04 eta: 2:01:43 time: 0.1693 data_time: 0.0032 loss: 0.7343 03/11 09:06:17 - mmengine - INFO - Epoch(train) [92][3900/5005] lr: 1.0000e-04 eta: 2:01:25 time: 0.1711 data_time: 0.0035 loss: 0.7885 03/11 09:06:35 - mmengine - INFO - Epoch(train) [92][4000/5005] lr: 1.0000e-04 eta: 2:01:08 time: 0.1711 data_time: 0.0031 loss: 0.9138 03/11 09:06:53 - mmengine - INFO - Epoch(train) [92][4100/5005] lr: 1.0000e-04 eta: 2:00:50 time: 0.1722 data_time: 0.0031 loss: 0.9729 03/11 09:07:11 - mmengine - INFO - Epoch(train) [92][4200/5005] lr: 1.0000e-04 eta: 2:00:32 time: 0.1713 data_time: 0.0033 loss: 0.9968 03/11 09:07:28 - mmengine - INFO - Epoch(train) [92][4300/5005] lr: 1.0000e-04 eta: 2:00:14 time: 0.1707 data_time: 0.0033 loss: 0.8196 03/11 09:07:46 - mmengine - INFO - Epoch(train) [92][4400/5005] lr: 1.0000e-04 eta: 1:59:57 time: 0.1726 data_time: 0.0032 loss: 0.6989 03/11 09:08:04 - mmengine - INFO - Epoch(train) [92][4500/5005] lr: 1.0000e-04 eta: 1:59:39 time: 0.1759 data_time: 0.0033 loss: 0.9006 03/11 09:08:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:08:21 - mmengine - INFO - Epoch(train) [92][4600/5005] lr: 1.0000e-04 eta: 1:59:21 time: 0.1712 data_time: 0.0033 loss: 0.9318 03/11 09:08:39 - mmengine - INFO - Epoch(train) [92][4700/5005] lr: 1.0000e-04 eta: 1:59:04 time: 0.1765 data_time: 0.0033 loss: 0.8173 03/11 09:08:57 - mmengine - INFO - Epoch(train) [92][4800/5005] lr: 1.0000e-04 eta: 1:58:46 time: 0.1711 data_time: 0.0030 loss: 0.8675 03/11 09:09:14 - mmengine - INFO - Epoch(train) [92][4900/5005] lr: 1.0000e-04 eta: 1:58:28 time: 0.1704 data_time: 0.0030 loss: 0.8319 03/11 09:09:31 - mmengine - INFO - Epoch(train) [92][5000/5005] lr: 1.0000e-04 eta: 1:58:10 time: 0.1664 data_time: 0.0029 loss: 0.7573 03/11 09:09:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:09:37 - mmengine - INFO - Saving checkpoint at 92 epochs 03/11 09:09:59 - mmengine - INFO - Epoch(val) [92][100/196] eta: 0:00:20 time: 0.0138 data_time: 0.0002 03/11 09:10:13 - mmengine - INFO - Epoch(val) [92][196/196] accuracy/top1: 77.1900 accuracy/top5: 93.4300 03/11 09:10:52 - mmengine - INFO - Epoch(train) [93][ 100/5005] lr: 1.0000e-04 eta: 1:57:53 time: 0.1745 data_time: 0.0037 loss: 0.9311 03/11 09:11:09 - mmengine - INFO - Epoch(train) [93][ 200/5005] lr: 1.0000e-04 eta: 1:57:36 time: 0.1721 data_time: 0.0035 loss: 0.8444 03/11 09:11:27 - mmengine - INFO - Epoch(train) [93][ 300/5005] lr: 1.0000e-04 eta: 1:57:18 time: 0.1724 data_time: 0.0036 loss: 0.9697 03/11 09:11:46 - mmengine - INFO - Epoch(train) [93][ 400/5005] lr: 1.0000e-04 eta: 1:57:00 time: 0.1746 data_time: 0.0032 loss: 0.7978 03/11 09:12:03 - mmengine - INFO - Epoch(train) [93][ 500/5005] lr: 1.0000e-04 eta: 1:56:43 time: 0.1738 data_time: 0.0030 loss: 0.8724 03/11 09:12:11 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:12:21 - mmengine - INFO - Epoch(train) [93][ 600/5005] lr: 1.0000e-04 eta: 1:56:25 time: 0.1753 data_time: 0.0031 loss: 0.7148 03/11 09:12:39 - mmengine - INFO - Epoch(train) [93][ 700/5005] lr: 1.0000e-04 eta: 1:56:07 time: 0.1710 data_time: 0.0034 loss: 0.9738 03/11 09:12:57 - mmengine - INFO - Epoch(train) [93][ 800/5005] lr: 1.0000e-04 eta: 1:55:49 time: 0.1942 data_time: 0.0033 loss: 1.0031 03/11 09:13:15 - mmengine - INFO - Epoch(train) [93][ 900/5005] lr: 1.0000e-04 eta: 1:55:32 time: 0.2051 data_time: 0.0032 loss: 0.9456 03/11 09:13:33 - mmengine - INFO - Epoch(train) [93][1000/5005] lr: 1.0000e-04 eta: 1:55:14 time: 0.1916 data_time: 0.0031 loss: 0.7953 03/11 09:13:51 - mmengine - INFO - Epoch(train) [93][1100/5005] lr: 1.0000e-04 eta: 1:54:56 time: 0.1773 data_time: 0.0032 loss: 0.9303 03/11 09:14:08 - mmengine - INFO - Epoch(train) [93][1200/5005] lr: 1.0000e-04 eta: 1:54:39 time: 0.1742 data_time: 0.0032 loss: 1.0775 03/11 09:14:26 - mmengine - INFO - Epoch(train) [93][1300/5005] lr: 1.0000e-04 eta: 1:54:21 time: 0.1726 data_time: 0.0031 loss: 0.8470 03/11 09:14:44 - mmengine - INFO - Epoch(train) [93][1400/5005] lr: 1.0000e-04 eta: 1:54:03 time: 0.1937 data_time: 0.0032 loss: 0.8563 03/11 09:15:02 - mmengine - INFO - Epoch(train) [93][1500/5005] lr: 1.0000e-04 eta: 1:53:45 time: 0.1723 data_time: 0.0034 loss: 0.7576 03/11 09:15:09 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:15:19 - mmengine - INFO - Epoch(train) [93][1600/5005] lr: 1.0000e-04 eta: 1:53:28 time: 0.1724 data_time: 0.0031 loss: 0.9341 03/11 09:15:37 - mmengine - INFO - Epoch(train) [93][1700/5005] lr: 1.0000e-04 eta: 1:53:10 time: 0.1740 data_time: 0.0032 loss: 0.8930 03/11 09:15:55 - mmengine - INFO - Epoch(train) [93][1800/5005] lr: 1.0000e-04 eta: 1:52:52 time: 0.1730 data_time: 0.0032 loss: 0.8372 03/11 09:16:13 - mmengine - INFO - Epoch(train) [93][1900/5005] lr: 1.0000e-04 eta: 1:52:35 time: 0.1735 data_time: 0.0032 loss: 0.8531 03/11 09:16:30 - mmengine - INFO - Epoch(train) [93][2000/5005] lr: 1.0000e-04 eta: 1:52:17 time: 0.1726 data_time: 0.0030 loss: 0.7598 03/11 09:16:48 - mmengine - INFO - Epoch(train) [93][2100/5005] lr: 1.0000e-04 eta: 1:51:59 time: 0.1869 data_time: 0.0031 loss: 0.8228 03/11 09:17:06 - mmengine - INFO - Epoch(train) [93][2200/5005] lr: 1.0000e-04 eta: 1:51:41 time: 0.1723 data_time: 0.0034 loss: 0.8242 03/11 09:17:23 - mmengine - INFO - Epoch(train) [93][2300/5005] lr: 1.0000e-04 eta: 1:51:24 time: 0.1745 data_time: 0.0032 loss: 0.9749 03/11 09:17:41 - mmengine - INFO - Epoch(train) [93][2400/5005] lr: 1.0000e-04 eta: 1:51:06 time: 0.1733 data_time: 0.0032 loss: 0.8980 03/11 09:17:59 - mmengine - INFO - Epoch(train) [93][2500/5005] lr: 1.0000e-04 eta: 1:50:48 time: 0.1714 data_time: 0.0032 loss: 0.9006 03/11 09:18:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:18:17 - mmengine - INFO - Epoch(train) [93][2600/5005] lr: 1.0000e-04 eta: 1:50:30 time: 0.1715 data_time: 0.0033 loss: 0.9646 03/11 09:18:34 - mmengine - INFO - Epoch(train) [93][2700/5005] lr: 1.0000e-04 eta: 1:50:13 time: 0.1818 data_time: 0.0033 loss: 0.8861 03/11 09:18:52 - mmengine - INFO - Epoch(train) [93][2800/5005] lr: 1.0000e-04 eta: 1:49:55 time: 0.1753 data_time: 0.0033 loss: 0.7521 03/11 09:19:09 - mmengine - INFO - Epoch(train) [93][2900/5005] lr: 1.0000e-04 eta: 1:49:37 time: 0.1714 data_time: 0.0032 loss: 0.9178 03/11 09:19:27 - mmengine - INFO - Epoch(train) [93][3000/5005] lr: 1.0000e-04 eta: 1:49:20 time: 0.1748 data_time: 0.0031 loss: 0.8231 03/11 09:19:45 - mmengine - INFO - Epoch(train) [93][3100/5005] lr: 1.0000e-04 eta: 1:49:02 time: 0.1713 data_time: 0.0033 loss: 0.7362 03/11 09:20:03 - mmengine - INFO - Epoch(train) [93][3200/5005] lr: 1.0000e-04 eta: 1:48:44 time: 0.1912 data_time: 0.0031 loss: 0.9939 03/11 09:20:20 - mmengine - INFO - Epoch(train) [93][3300/5005] lr: 1.0000e-04 eta: 1:48:26 time: 0.1726 data_time: 0.0033 loss: 0.8216 03/11 09:20:38 - mmengine - INFO - Epoch(train) [93][3400/5005] lr: 1.0000e-04 eta: 1:48:09 time: 0.1709 data_time: 0.0032 loss: 0.8194 03/11 09:20:56 - mmengine - INFO - Epoch(train) [93][3500/5005] lr: 1.0000e-04 eta: 1:47:51 time: 0.1729 data_time: 0.0031 loss: 0.7802 03/11 09:21:03 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:21:13 - mmengine - INFO - Epoch(train) [93][3600/5005] lr: 1.0000e-04 eta: 1:47:33 time: 0.1741 data_time: 0.0031 loss: 0.8162 03/11 09:21:31 - mmengine - INFO - Epoch(train) [93][3700/5005] lr: 1.0000e-04 eta: 1:47:15 time: 0.2119 data_time: 0.0031 loss: 0.8317 03/11 09:21:49 - mmengine - INFO - Epoch(train) [93][3800/5005] lr: 1.0000e-04 eta: 1:46:58 time: 0.1730 data_time: 0.0031 loss: 0.8202 03/11 09:22:06 - mmengine - INFO - Epoch(train) [93][3900/5005] lr: 1.0000e-04 eta: 1:46:40 time: 0.1734 data_time: 0.0032 loss: 0.6928 03/11 09:22:24 - mmengine - INFO - Epoch(train) [93][4000/5005] lr: 1.0000e-04 eta: 1:46:22 time: 0.1723 data_time: 0.0033 loss: 0.7397 03/11 09:22:42 - mmengine - INFO - Epoch(train) [93][4100/5005] lr: 1.0000e-04 eta: 1:46:05 time: 0.1762 data_time: 0.0032 loss: 0.9781 03/11 09:22:59 - mmengine - INFO - Epoch(train) [93][4200/5005] lr: 1.0000e-04 eta: 1:45:47 time: 0.1736 data_time: 0.0033 loss: 0.7053 03/11 09:23:17 - mmengine - INFO - Epoch(train) [93][4300/5005] lr: 1.0000e-04 eta: 1:45:29 time: 0.1700 data_time: 0.0034 loss: 0.7619 03/11 09:23:35 - mmengine - INFO - Epoch(train) [93][4400/5005] lr: 1.0000e-04 eta: 1:45:11 time: 0.1708 data_time: 0.0031 loss: 0.8950 03/11 09:23:52 - mmengine - INFO - Epoch(train) [93][4500/5005] lr: 1.0000e-04 eta: 1:44:54 time: 0.1742 data_time: 0.0031 loss: 0.7665 03/11 09:23:59 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:24:10 - mmengine - INFO - Epoch(train) [93][4600/5005] lr: 1.0000e-04 eta: 1:44:36 time: 0.1713 data_time: 0.0033 loss: 1.0422 03/11 09:24:28 - mmengine - INFO - Epoch(train) [93][4700/5005] lr: 1.0000e-04 eta: 1:44:18 time: 0.1746 data_time: 0.0033 loss: 0.8997 03/11 09:24:45 - mmengine - INFO - Epoch(train) [93][4800/5005] lr: 1.0000e-04 eta: 1:44:00 time: 0.1727 data_time: 0.0031 loss: 0.7055 03/11 09:25:02 - mmengine - INFO - Epoch(train) [93][4900/5005] lr: 1.0000e-04 eta: 1:43:43 time: 0.1729 data_time: 0.0032 loss: 0.8536 03/11 09:25:20 - mmengine - INFO - Epoch(train) [93][5000/5005] lr: 1.0000e-04 eta: 1:43:25 time: 0.1716 data_time: 0.0031 loss: 0.7495 03/11 09:25:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:25:26 - mmengine - INFO - Saving checkpoint at 93 epochs 03/11 09:25:48 - mmengine - INFO - Epoch(val) [93][100/196] eta: 0:00:20 time: 0.0174 data_time: 0.0004 03/11 09:26:02 - mmengine - INFO - Epoch(val) [93][196/196] accuracy/top1: 77.1140 accuracy/top5: 93.4740 03/11 09:26:40 - mmengine - INFO - Epoch(train) [94][ 100/5005] lr: 1.0000e-04 eta: 1:43:08 time: 0.1732 data_time: 0.0048 loss: 0.9474 03/11 09:26:58 - mmengine - INFO - Epoch(train) [94][ 200/5005] lr: 1.0000e-04 eta: 1:42:50 time: 0.1735 data_time: 0.0039 loss: 0.9144 03/11 09:27:16 - mmengine - INFO - Epoch(train) [94][ 300/5005] lr: 1.0000e-04 eta: 1:42:32 time: 0.1712 data_time: 0.0033 loss: 0.7745 03/11 09:27:34 - mmengine - INFO - Epoch(train) [94][ 400/5005] lr: 1.0000e-04 eta: 1:42:15 time: 0.1751 data_time: 0.0035 loss: 0.8158 03/11 09:27:52 - mmengine - INFO - Epoch(train) [94][ 500/5005] lr: 1.0000e-04 eta: 1:41:57 time: 0.1714 data_time: 0.0034 loss: 0.8304 03/11 09:27:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:28:10 - mmengine - INFO - Epoch(train) [94][ 600/5005] lr: 1.0000e-04 eta: 1:41:39 time: 0.1739 data_time: 0.0034 loss: 0.9853 03/11 09:28:27 - mmengine - INFO - Epoch(train) [94][ 700/5005] lr: 1.0000e-04 eta: 1:41:22 time: 0.1745 data_time: 0.0034 loss: 0.8670 03/11 09:28:46 - mmengine - INFO - Epoch(train) [94][ 800/5005] lr: 1.0000e-04 eta: 1:41:04 time: 0.1717 data_time: 0.0036 loss: 0.8192 03/11 09:29:04 - mmengine - INFO - Epoch(train) [94][ 900/5005] lr: 1.0000e-04 eta: 1:40:46 time: 0.2897 data_time: 0.0035 loss: 0.9261 03/11 09:29:23 - mmengine - INFO - Epoch(train) [94][1000/5005] lr: 1.0000e-04 eta: 1:40:28 time: 0.1745 data_time: 0.0032 loss: 0.8411 03/11 09:29:41 - mmengine - INFO - Epoch(train) [94][1100/5005] lr: 1.0000e-04 eta: 1:40:11 time: 0.1732 data_time: 0.0031 loss: 0.8935 03/11 09:29:58 - mmengine - INFO - Epoch(train) [94][1200/5005] lr: 1.0000e-04 eta: 1:39:53 time: 0.1742 data_time: 0.0035 loss: 0.9287 03/11 09:30:16 - mmengine - INFO - Epoch(train) [94][1300/5005] lr: 1.0000e-04 eta: 1:39:35 time: 0.1708 data_time: 0.0033 loss: 0.7912 03/11 09:30:34 - mmengine - INFO - Epoch(train) [94][1400/5005] lr: 1.0000e-04 eta: 1:39:18 time: 0.1716 data_time: 0.0033 loss: 0.7636 03/11 09:30:52 - mmengine - INFO - Epoch(train) [94][1500/5005] lr: 1.0000e-04 eta: 1:39:00 time: 0.1729 data_time: 0.0033 loss: 0.8885 03/11 09:30:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:31:09 - mmengine - INFO - Epoch(train) [94][1600/5005] lr: 1.0000e-04 eta: 1:38:42 time: 0.1735 data_time: 0.0037 loss: 0.7990 03/11 09:31:27 - mmengine - INFO - Epoch(train) [94][1700/5005] lr: 1.0000e-04 eta: 1:38:24 time: 0.1757 data_time: 0.0032 loss: 0.6880 03/11 09:31:45 - mmengine - INFO - Epoch(train) [94][1800/5005] lr: 1.0000e-04 eta: 1:38:07 time: 0.1719 data_time: 0.0035 loss: 0.8072 03/11 09:32:02 - mmengine - INFO - Epoch(train) [94][1900/5005] lr: 1.0000e-04 eta: 1:37:49 time: 0.1907 data_time: 0.0032 loss: 0.7027 03/11 09:32:20 - mmengine - INFO - Epoch(train) [94][2000/5005] lr: 1.0000e-04 eta: 1:37:31 time: 0.1723 data_time: 0.0033 loss: 0.8077 03/11 09:32:38 - mmengine - INFO - Epoch(train) [94][2100/5005] lr: 1.0000e-04 eta: 1:37:14 time: 0.1721 data_time: 0.0031 loss: 0.9662 03/11 09:32:56 - mmengine - INFO - Epoch(train) [94][2200/5005] lr: 1.0000e-04 eta: 1:36:56 time: 0.1758 data_time: 0.0032 loss: 0.7695 03/11 09:33:14 - mmengine - INFO - Epoch(train) [94][2300/5005] lr: 1.0000e-04 eta: 1:36:38 time: 0.1714 data_time: 0.0035 loss: 0.9961 03/11 09:33:32 - mmengine - INFO - Epoch(train) [94][2400/5005] lr: 1.0000e-04 eta: 1:36:20 time: 0.1761 data_time: 0.0031 loss: 0.9120 03/11 09:33:49 - mmengine - INFO - Epoch(train) [94][2500/5005] lr: 1.0000e-04 eta: 1:36:03 time: 0.1727 data_time: 0.0032 loss: 0.8266 03/11 09:33:55 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:34:07 - mmengine - INFO - Epoch(train) [94][2600/5005] lr: 1.0000e-04 eta: 1:35:45 time: 0.1753 data_time: 0.0035 loss: 1.0133 03/11 09:34:25 - mmengine - INFO - Epoch(train) [94][2700/5005] lr: 1.0000e-04 eta: 1:35:27 time: 0.1741 data_time: 0.0034 loss: 0.6539 03/11 09:34:43 - mmengine - INFO - Epoch(train) [94][2800/5005] lr: 1.0000e-04 eta: 1:35:09 time: 0.1710 data_time: 0.0034 loss: 0.7834 03/11 09:35:01 - mmengine - INFO - Epoch(train) [94][2900/5005] lr: 1.0000e-04 eta: 1:34:52 time: 0.1707 data_time: 0.0035 loss: 0.7656 03/11 09:35:18 - mmengine - INFO - Epoch(train) [94][3000/5005] lr: 1.0000e-04 eta: 1:34:34 time: 0.1729 data_time: 0.0033 loss: 0.7393 03/11 09:35:36 - mmengine - INFO - Epoch(train) [94][3100/5005] lr: 1.0000e-04 eta: 1:34:16 time: 0.1721 data_time: 0.0037 loss: 0.8796 03/11 09:35:54 - mmengine - INFO - Epoch(train) [94][3200/5005] lr: 1.0000e-04 eta: 1:33:59 time: 0.1737 data_time: 0.0033 loss: 0.7869 03/11 09:36:11 - mmengine - INFO - Epoch(train) [94][3300/5005] lr: 1.0000e-04 eta: 1:33:41 time: 0.1750 data_time: 0.0033 loss: 0.8250 03/11 09:36:29 - mmengine - INFO - Epoch(train) [94][3400/5005] lr: 1.0000e-04 eta: 1:33:23 time: 0.1731 data_time: 0.0037 loss: 0.9287 03/11 09:36:47 - mmengine - INFO - Epoch(train) [94][3500/5005] lr: 1.0000e-04 eta: 1:33:05 time: 0.1721 data_time: 0.0034 loss: 0.8720 03/11 09:36:53 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:37:04 - mmengine - INFO - Epoch(train) [94][3600/5005] lr: 1.0000e-04 eta: 1:32:48 time: 0.1715 data_time: 0.0032 loss: 0.9523 03/11 09:37:22 - mmengine - INFO - Epoch(train) [94][3700/5005] lr: 1.0000e-04 eta: 1:32:30 time: 0.1717 data_time: 0.0035 loss: 1.0903 03/11 09:37:40 - mmengine - INFO - Epoch(train) [94][3800/5005] lr: 1.0000e-04 eta: 1:32:12 time: 0.1887 data_time: 0.0034 loss: 0.7938 03/11 09:37:58 - mmengine - INFO - Epoch(train) [94][3900/5005] lr: 1.0000e-04 eta: 1:31:55 time: 0.1740 data_time: 0.0032 loss: 0.8427 03/11 09:38:15 - mmengine - INFO - Epoch(train) [94][4000/5005] lr: 1.0000e-04 eta: 1:31:37 time: 0.1750 data_time: 0.0032 loss: 0.7434 03/11 09:38:33 - mmengine - INFO - Epoch(train) [94][4100/5005] lr: 1.0000e-04 eta: 1:31:19 time: 0.1719 data_time: 0.0035 loss: 0.7933 03/11 09:38:51 - mmengine - INFO - Epoch(train) [94][4200/5005] lr: 1.0000e-04 eta: 1:31:01 time: 0.1732 data_time: 0.0038 loss: 0.9798 03/11 09:39:09 - mmengine - INFO - Epoch(train) [94][4300/5005] lr: 1.0000e-04 eta: 1:30:44 time: 0.1763 data_time: 0.0036 loss: 0.7956 03/11 09:39:27 - mmengine - INFO - Epoch(train) [94][4400/5005] lr: 1.0000e-04 eta: 1:30:26 time: 0.1739 data_time: 0.0034 loss: 0.9014 03/11 09:39:44 - mmengine - INFO - Epoch(train) [94][4500/5005] lr: 1.0000e-04 eta: 1:30:08 time: 0.1729 data_time: 0.0036 loss: 0.6840 03/11 09:39:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:40:02 - mmengine - INFO - Epoch(train) [94][4600/5005] lr: 1.0000e-04 eta: 1:29:50 time: 0.1718 data_time: 0.0033 loss: 0.9177 03/11 09:40:20 - mmengine - INFO - Epoch(train) [94][4700/5005] lr: 1.0000e-04 eta: 1:29:33 time: 0.1714 data_time: 0.0032 loss: 0.8536 03/11 09:40:37 - mmengine - INFO - Epoch(train) [94][4800/5005] lr: 1.0000e-04 eta: 1:29:15 time: 0.1701 data_time: 0.0037 loss: 0.8335 03/11 09:40:55 - mmengine - INFO - Epoch(train) [94][4900/5005] lr: 1.0000e-04 eta: 1:28:57 time: 0.1753 data_time: 0.0036 loss: 0.9253 03/11 09:41:12 - mmengine - INFO - Epoch(train) [94][5000/5005] lr: 1.0000e-04 eta: 1:28:40 time: 0.1718 data_time: 0.0035 loss: 0.7906 03/11 09:41:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:41:18 - mmengine - INFO - Saving checkpoint at 94 epochs 03/11 09:41:40 - mmengine - INFO - Epoch(val) [94][100/196] eta: 0:00:19 time: 0.0177 data_time: 0.0004 03/11 09:41:54 - mmengine - INFO - Epoch(val) [94][196/196] accuracy/top1: 77.1640 accuracy/top5: 93.4480 03/11 09:42:34 - mmengine - INFO - Epoch(train) [95][ 100/5005] lr: 1.0000e-04 eta: 1:28:22 time: 0.1757 data_time: 0.0042 loss: 1.0410 03/11 09:42:52 - mmengine - INFO - Epoch(train) [95][ 200/5005] lr: 1.0000e-04 eta: 1:28:05 time: 0.1717 data_time: 0.0031 loss: 0.8435 03/11 09:43:10 - mmengine - INFO - Epoch(train) [95][ 300/5005] lr: 1.0000e-04 eta: 1:27:47 time: 0.1723 data_time: 0.0033 loss: 0.8126 03/11 09:43:28 - mmengine - INFO - Epoch(train) [95][ 400/5005] lr: 1.0000e-04 eta: 1:27:29 time: 0.2019 data_time: 0.0034 loss: 0.8269 03/11 09:43:46 - mmengine - INFO - Epoch(train) [95][ 500/5005] lr: 1.0000e-04 eta: 1:27:11 time: 0.1848 data_time: 0.0033 loss: 1.0112 03/11 09:43:51 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:44:03 - mmengine - INFO - Epoch(train) [95][ 600/5005] lr: 1.0000e-04 eta: 1:26:54 time: 0.1719 data_time: 0.0034 loss: 0.8746 03/11 09:44:21 - mmengine - INFO - Epoch(train) [95][ 700/5005] lr: 1.0000e-04 eta: 1:26:36 time: 0.1716 data_time: 0.0032 loss: 1.0686 03/11 09:44:39 - mmengine - INFO - Epoch(train) [95][ 800/5005] lr: 1.0000e-04 eta: 1:26:18 time: 0.1691 data_time: 0.0030 loss: 0.9772 03/11 09:44:57 - mmengine - INFO - Epoch(train) [95][ 900/5005] lr: 1.0000e-04 eta: 1:26:01 time: 0.1741 data_time: 0.0031 loss: 0.8614 03/11 09:45:15 - mmengine - INFO - Epoch(train) [95][1000/5005] lr: 1.0000e-04 eta: 1:25:43 time: 0.1737 data_time: 0.0032 loss: 0.7991 03/11 09:45:33 - mmengine - INFO - Epoch(train) [95][1100/5005] lr: 1.0000e-04 eta: 1:25:25 time: 0.1736 data_time: 0.0031 loss: 0.8402 03/11 09:45:51 - mmengine - INFO - Epoch(train) [95][1200/5005] lr: 1.0000e-04 eta: 1:25:07 time: 0.1737 data_time: 0.0032 loss: 0.8372 03/11 09:46:09 - mmengine - INFO - Epoch(train) [95][1300/5005] lr: 1.0000e-04 eta: 1:24:50 time: 0.1752 data_time: 0.0033 loss: 0.9000 03/11 09:46:27 - mmengine - INFO - Epoch(train) [95][1400/5005] lr: 1.0000e-04 eta: 1:24:32 time: 0.1726 data_time: 0.0033 loss: 0.9724 03/11 09:46:45 - mmengine - INFO - Epoch(train) [95][1500/5005] lr: 1.0000e-04 eta: 1:24:14 time: 0.1876 data_time: 0.0035 loss: 0.9056 03/11 09:46:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:47:02 - mmengine - INFO - Epoch(train) [95][1600/5005] lr: 1.0000e-04 eta: 1:23:57 time: 0.1733 data_time: 0.0032 loss: 0.8510 03/11 09:47:20 - mmengine - INFO - Epoch(train) [95][1700/5005] lr: 1.0000e-04 eta: 1:23:39 time: 0.1747 data_time: 0.0033 loss: 0.9161 03/11 09:47:38 - mmengine - INFO - Epoch(train) [95][1800/5005] lr: 1.0000e-04 eta: 1:23:21 time: 0.1720 data_time: 0.0031 loss: 0.8367 03/11 09:47:56 - mmengine - INFO - Epoch(train) [95][1900/5005] lr: 1.0000e-04 eta: 1:23:03 time: 0.1895 data_time: 0.0031 loss: 0.8936 03/11 09:48:14 - mmengine - INFO - Epoch(train) [95][2000/5005] lr: 1.0000e-04 eta: 1:22:46 time: 0.1741 data_time: 0.0032 loss: 0.8344 03/11 09:48:31 - mmengine - INFO - Epoch(train) [95][2100/5005] lr: 1.0000e-04 eta: 1:22:28 time: 0.1750 data_time: 0.0032 loss: 0.8911 03/11 09:48:49 - mmengine - INFO - Epoch(train) [95][2200/5005] lr: 1.0000e-04 eta: 1:22:10 time: 0.1738 data_time: 0.0033 loss: 0.9658 03/11 09:49:07 - mmengine - INFO - Epoch(train) [95][2300/5005] lr: 1.0000e-04 eta: 1:21:52 time: 0.1728 data_time: 0.0031 loss: 0.7366 03/11 09:49:25 - mmengine - INFO - Epoch(train) [95][2400/5005] lr: 1.0000e-04 eta: 1:21:35 time: 0.1747 data_time: 0.0032 loss: 0.9560 03/11 09:49:43 - mmengine - INFO - Epoch(train) [95][2500/5005] lr: 1.0000e-04 eta: 1:21:17 time: 0.1726 data_time: 0.0032 loss: 1.0475 03/11 09:49:48 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:50:00 - mmengine - INFO - Epoch(train) [95][2600/5005] lr: 1.0000e-04 eta: 1:20:59 time: 0.1734 data_time: 0.0033 loss: 1.0515 03/11 09:50:18 - mmengine - INFO - Epoch(train) [95][2700/5005] lr: 1.0000e-04 eta: 1:20:42 time: 0.1745 data_time: 0.0031 loss: 0.8604 03/11 09:50:36 - mmengine - INFO - Epoch(train) [95][2800/5005] lr: 1.0000e-04 eta: 1:20:24 time: 0.1753 data_time: 0.0031 loss: 0.7785 03/11 09:50:54 - mmengine - INFO - Epoch(train) [95][2900/5005] lr: 1.0000e-04 eta: 1:20:06 time: 0.1732 data_time: 0.0033 loss: 0.8018 03/11 09:51:11 - mmengine - INFO - Epoch(train) [95][3000/5005] lr: 1.0000e-04 eta: 1:19:48 time: 0.1710 data_time: 0.0034 loss: 0.8856 03/11 09:51:29 - mmengine - INFO - Epoch(train) [95][3100/5005] lr: 1.0000e-04 eta: 1:19:31 time: 0.1733 data_time: 0.0037 loss: 0.8837 03/11 09:51:47 - mmengine - INFO - Epoch(train) [95][3200/5005] lr: 1.0000e-04 eta: 1:19:13 time: 0.1718 data_time: 0.0030 loss: 0.7979 03/11 09:52:05 - mmengine - INFO - Epoch(train) [95][3300/5005] lr: 1.0000e-04 eta: 1:18:55 time: 0.1726 data_time: 0.0032 loss: 1.0819 03/11 09:52:22 - mmengine - INFO - Epoch(train) [95][3400/5005] lr: 1.0000e-04 eta: 1:18:37 time: 0.1734 data_time: 0.0035 loss: 0.8827 03/11 09:52:40 - mmengine - INFO - Epoch(train) [95][3500/5005] lr: 1.0000e-04 eta: 1:18:20 time: 0.1750 data_time: 0.0035 loss: 0.7981 03/11 09:52:45 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:52:58 - mmengine - INFO - Epoch(train) [95][3600/5005] lr: 1.0000e-04 eta: 1:18:02 time: 0.1744 data_time: 0.0035 loss: 0.8589 03/11 09:53:15 - mmengine - INFO - Epoch(train) [95][3700/5005] lr: 1.0000e-04 eta: 1:17:44 time: 0.1700 data_time: 0.0036 loss: 1.1112 03/11 09:53:33 - mmengine - INFO - Epoch(train) [95][3800/5005] lr: 1.0000e-04 eta: 1:17:27 time: 0.1879 data_time: 0.0033 loss: 0.8883 03/11 09:53:51 - mmengine - INFO - Epoch(train) [95][3900/5005] lr: 1.0000e-04 eta: 1:17:09 time: 0.1739 data_time: 0.0034 loss: 0.7767 03/11 09:54:09 - mmengine - INFO - Epoch(train) [95][4000/5005] lr: 1.0000e-04 eta: 1:16:51 time: 0.1693 data_time: 0.0038 loss: 0.8017 03/11 09:54:26 - mmengine - INFO - Epoch(train) [95][4100/5005] lr: 1.0000e-04 eta: 1:16:33 time: 0.1870 data_time: 0.0032 loss: 0.8468 03/11 09:54:44 - mmengine - INFO - Epoch(train) [95][4200/5005] lr: 1.0000e-04 eta: 1:16:16 time: 0.1726 data_time: 0.0034 loss: 0.8771 03/11 09:55:02 - mmengine - INFO - Epoch(train) [95][4300/5005] lr: 1.0000e-04 eta: 1:15:58 time: 0.1848 data_time: 0.0036 loss: 0.9031 03/11 09:55:19 - mmengine - INFO - Epoch(train) [95][4400/5005] lr: 1.0000e-04 eta: 1:15:40 time: 0.1718 data_time: 0.0033 loss: 1.0523 03/11 09:55:37 - mmengine - INFO - Epoch(train) [95][4500/5005] lr: 1.0000e-04 eta: 1:15:22 time: 0.1756 data_time: 0.0032 loss: 1.0040 03/11 09:55:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:55:55 - mmengine - INFO - Epoch(train) [95][4600/5005] lr: 1.0000e-04 eta: 1:15:05 time: 0.1735 data_time: 0.0031 loss: 0.9047 03/11 09:56:13 - mmengine - INFO - Epoch(train) [95][4700/5005] lr: 1.0000e-04 eta: 1:14:47 time: 0.1734 data_time: 0.0031 loss: 0.8305 03/11 09:56:30 - mmengine - INFO - Epoch(train) [95][4800/5005] lr: 1.0000e-04 eta: 1:14:29 time: 0.1702 data_time: 0.0032 loss: 1.0093 03/11 09:56:48 - mmengine - INFO - Epoch(train) [95][4900/5005] lr: 1.0000e-04 eta: 1:14:12 time: 0.1728 data_time: 0.0031 loss: 0.8401 03/11 09:57:05 - mmengine - INFO - Epoch(train) [95][5000/5005] lr: 1.0000e-04 eta: 1:13:54 time: 0.1710 data_time: 0.0030 loss: 0.9476 03/11 09:57:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:57:11 - mmengine - INFO - Saving checkpoint at 95 epochs 03/11 09:57:33 - mmengine - INFO - Epoch(val) [95][100/196] eta: 0:00:20 time: 0.0160 data_time: 0.0003 03/11 09:57:47 - mmengine - INFO - Epoch(val) [95][196/196] accuracy/top1: 77.1020 accuracy/top5: 93.4260 03/11 09:58:27 - mmengine - INFO - Epoch(train) [96][ 100/5005] lr: 1.0000e-04 eta: 1:13:36 time: 0.1733 data_time: 0.0043 loss: 0.7740 03/11 09:58:45 - mmengine - INFO - Epoch(train) [96][ 200/5005] lr: 1.0000e-04 eta: 1:13:19 time: 0.1716 data_time: 0.0034 loss: 0.8205 03/11 09:59:02 - mmengine - INFO - Epoch(train) [96][ 300/5005] lr: 1.0000e-04 eta: 1:13:01 time: 0.1912 data_time: 0.0033 loss: 0.9214 03/11 09:59:20 - mmengine - INFO - Epoch(train) [96][ 400/5005] lr: 1.0000e-04 eta: 1:12:43 time: 0.1767 data_time: 0.0036 loss: 0.9899 03/11 09:59:38 - mmengine - INFO - Epoch(train) [96][ 500/5005] lr: 1.0000e-04 eta: 1:12:25 time: 0.1780 data_time: 0.0035 loss: 0.7837 03/11 09:59:43 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 09:59:56 - mmengine - INFO - Epoch(train) [96][ 600/5005] lr: 1.0000e-04 eta: 1:12:08 time: 0.1736 data_time: 0.0035 loss: 0.7899 03/11 10:00:14 - mmengine - INFO - Epoch(train) [96][ 700/5005] lr: 1.0000e-04 eta: 1:11:50 time: 0.1744 data_time: 0.0032 loss: 0.9965 03/11 10:00:32 - mmengine - INFO - Epoch(train) [96][ 800/5005] lr: 1.0000e-04 eta: 1:11:32 time: 0.1737 data_time: 0.0033 loss: 0.8229 03/11 10:00:50 - mmengine - INFO - Epoch(train) [96][ 900/5005] lr: 1.0000e-04 eta: 1:11:15 time: 0.1728 data_time: 0.0033 loss: 0.7592 03/11 10:01:07 - mmengine - INFO - Epoch(train) [96][1000/5005] lr: 1.0000e-04 eta: 1:10:57 time: 0.1774 data_time: 0.0033 loss: 0.8173 03/11 10:01:25 - mmengine - INFO - Epoch(train) [96][1100/5005] lr: 1.0000e-04 eta: 1:10:39 time: 0.1768 data_time: 0.0032 loss: 0.9725 03/11 10:01:43 - mmengine - INFO - Epoch(train) [96][1200/5005] lr: 1.0000e-04 eta: 1:10:21 time: 0.1789 data_time: 0.0033 loss: 0.7686 03/11 10:02:01 - mmengine - INFO - Epoch(train) [96][1300/5005] lr: 1.0000e-04 eta: 1:10:04 time: 0.1944 data_time: 0.0033 loss: 0.8655 03/11 10:02:19 - mmengine - INFO - Epoch(train) [96][1400/5005] lr: 1.0000e-04 eta: 1:09:46 time: 0.1745 data_time: 0.0036 loss: 0.7366 03/11 10:02:37 - mmengine - INFO - Epoch(train) [96][1500/5005] lr: 1.0000e-04 eta: 1:09:28 time: 0.1738 data_time: 0.0038 loss: 0.7415 03/11 10:02:42 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:02:55 - mmengine - INFO - Epoch(train) [96][1600/5005] lr: 1.0000e-04 eta: 1:09:10 time: 0.1765 data_time: 0.0035 loss: 0.8180 03/11 10:03:13 - mmengine - INFO - Epoch(train) [96][1700/5005] lr: 1.0000e-04 eta: 1:08:53 time: 0.1732 data_time: 0.0034 loss: 0.9457 03/11 10:03:30 - mmengine - INFO - Epoch(train) [96][1800/5005] lr: 1.0000e-04 eta: 1:08:35 time: 0.1726 data_time: 0.0031 loss: 0.9116 03/11 10:03:48 - mmengine - INFO - Epoch(train) [96][1900/5005] lr: 1.0000e-04 eta: 1:08:17 time: 0.1708 data_time: 0.0033 loss: 1.0237 03/11 10:04:06 - mmengine - INFO - Epoch(train) [96][2000/5005] lr: 1.0000e-04 eta: 1:08:00 time: 0.1731 data_time: 0.0033 loss: 0.7940 03/11 10:04:24 - mmengine - INFO - Epoch(train) [96][2100/5005] lr: 1.0000e-04 eta: 1:07:42 time: 0.1718 data_time: 0.0035 loss: 0.8436 03/11 10:04:42 - mmengine - INFO - Epoch(train) [96][2200/5005] lr: 1.0000e-04 eta: 1:07:24 time: 0.1746 data_time: 0.0032 loss: 0.9409 03/11 10:04:59 - mmengine - INFO - Epoch(train) [96][2300/5005] lr: 1.0000e-04 eta: 1:07:06 time: 0.1728 data_time: 0.0033 loss: 0.7601 03/11 10:05:17 - mmengine - INFO - Epoch(train) [96][2400/5005] lr: 1.0000e-04 eta: 1:06:49 time: 0.1729 data_time: 0.0033 loss: 0.8170 03/11 10:05:35 - mmengine - INFO - Epoch(train) [96][2500/5005] lr: 1.0000e-04 eta: 1:06:31 time: 0.1738 data_time: 0.0032 loss: 0.8023 03/11 10:05:39 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:05:53 - mmengine - INFO - Epoch(train) [96][2600/5005] lr: 1.0000e-04 eta: 1:06:13 time: 0.1894 data_time: 0.0032 loss: 0.8521 03/11 10:06:10 - mmengine - INFO - Epoch(train) [96][2700/5005] lr: 1.0000e-04 eta: 1:05:55 time: 0.1737 data_time: 0.0033 loss: 0.8829 03/11 10:06:28 - mmengine - INFO - Epoch(train) [96][2800/5005] lr: 1.0000e-04 eta: 1:05:38 time: 0.1899 data_time: 0.0034 loss: 0.9841 03/11 10:06:46 - mmengine - INFO - Epoch(train) [96][2900/5005] lr: 1.0000e-04 eta: 1:05:20 time: 0.1742 data_time: 0.0032 loss: 0.8395 03/11 10:07:03 - mmengine - INFO - Epoch(train) [96][3000/5005] lr: 1.0000e-04 eta: 1:05:02 time: 0.1884 data_time: 0.0034 loss: 0.7256 03/11 10:07:21 - mmengine - INFO - Epoch(train) [96][3100/5005] lr: 1.0000e-04 eta: 1:04:45 time: 0.1747 data_time: 0.0032 loss: 0.9470 03/11 10:07:39 - mmengine - INFO - Epoch(train) [96][3200/5005] lr: 1.0000e-04 eta: 1:04:27 time: 0.1730 data_time: 0.0032 loss: 0.7550 03/11 10:07:57 - mmengine - INFO - Epoch(train) [96][3300/5005] lr: 1.0000e-04 eta: 1:04:09 time: 0.1727 data_time: 0.0033 loss: 0.8048 03/11 10:08:14 - mmengine - INFO - Epoch(train) [96][3400/5005] lr: 1.0000e-04 eta: 1:03:51 time: 0.1722 data_time: 0.0031 loss: 0.6857 03/11 10:08:32 - mmengine - INFO - Epoch(train) [96][3500/5005] lr: 1.0000e-04 eta: 1:03:34 time: 0.1726 data_time: 0.0032 loss: 0.9085 03/11 10:08:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:08:50 - mmengine - INFO - Epoch(train) [96][3600/5005] lr: 1.0000e-04 eta: 1:03:16 time: 0.1725 data_time: 0.0033 loss: 0.7575 03/11 10:09:07 - mmengine - INFO - Epoch(train) [96][3700/5005] lr: 1.0000e-04 eta: 1:02:58 time: 0.1740 data_time: 0.0032 loss: 0.7473 03/11 10:09:25 - mmengine - INFO - Epoch(train) [96][3800/5005] lr: 1.0000e-04 eta: 1:02:40 time: 0.1731 data_time: 0.0031 loss: 0.8428 03/11 10:09:43 - mmengine - INFO - Epoch(train) [96][3900/5005] lr: 1.0000e-04 eta: 1:02:23 time: 0.1705 data_time: 0.0033 loss: 0.9154 03/11 10:10:01 - mmengine - INFO - Epoch(train) [96][4000/5005] lr: 1.0000e-04 eta: 1:02:05 time: 0.1749 data_time: 0.0034 loss: 0.7238 03/11 10:10:18 - mmengine - INFO - Epoch(train) [96][4100/5005] lr: 1.0000e-04 eta: 1:01:47 time: 0.1704 data_time: 0.0032 loss: 0.9658 03/11 10:10:36 - mmengine - INFO - Epoch(train) [96][4200/5005] lr: 1.0000e-04 eta: 1:01:30 time: 0.1722 data_time: 0.0032 loss: 1.0150 03/11 10:10:53 - mmengine - INFO - Epoch(train) [96][4300/5005] lr: 1.0000e-04 eta: 1:01:12 time: 0.1731 data_time: 0.0035 loss: 0.7745 03/11 10:11:11 - mmengine - INFO - Epoch(train) [96][4400/5005] lr: 1.0000e-04 eta: 1:00:54 time: 0.1852 data_time: 0.0033 loss: 0.7956 03/11 10:11:29 - mmengine - INFO - Epoch(train) [96][4500/5005] lr: 1.0000e-04 eta: 1:00:36 time: 0.1773 data_time: 0.0031 loss: 0.8248 03/11 10:11:33 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:11:47 - mmengine - INFO - Epoch(train) [96][4600/5005] lr: 1.0000e-04 eta: 1:00:19 time: 0.1759 data_time: 0.0035 loss: 0.8097 03/11 10:12:05 - mmengine - INFO - Epoch(train) [96][4700/5005] lr: 1.0000e-04 eta: 1:00:01 time: 0.1894 data_time: 0.0032 loss: 0.9637 03/11 10:12:22 - mmengine - INFO - Epoch(train) [96][4800/5005] lr: 1.0000e-04 eta: 0:59:43 time: 0.1712 data_time: 0.0031 loss: 0.9279 03/11 10:12:39 - mmengine - INFO - Epoch(train) [96][4900/5005] lr: 1.0000e-04 eta: 0:59:25 time: 0.1697 data_time: 0.0032 loss: 1.1666 03/11 10:12:57 - mmengine - INFO - Epoch(train) [96][5000/5005] lr: 1.0000e-04 eta: 0:59:08 time: 0.1714 data_time: 0.0035 loss: 0.8554 03/11 10:12:58 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:13:03 - mmengine - INFO - Saving checkpoint at 96 epochs 03/11 10:13:24 - mmengine - INFO - Epoch(val) [96][100/196] eta: 0:00:20 time: 0.0144 data_time: 0.0002 03/11 10:13:39 - mmengine - INFO - Epoch(val) [96][196/196] accuracy/top1: 77.1440 accuracy/top5: 93.4880 03/11 10:14:17 - mmengine - INFO - Epoch(train) [97][ 100/5005] lr: 1.0000e-04 eta: 0:58:50 time: 0.1844 data_time: 0.0041 loss: 0.8163 03/11 10:14:35 - mmengine - INFO - Epoch(train) [97][ 200/5005] lr: 1.0000e-04 eta: 0:58:32 time: 0.1803 data_time: 0.0072 loss: 0.9332 03/11 10:14:53 - mmengine - INFO - Epoch(train) [97][ 300/5005] lr: 1.0000e-04 eta: 0:58:14 time: 0.1939 data_time: 0.0035 loss: 0.9364 03/11 10:15:11 - mmengine - INFO - Epoch(train) [97][ 400/5005] lr: 1.0000e-04 eta: 0:57:57 time: 0.1724 data_time: 0.0031 loss: 0.7538 03/11 10:15:29 - mmengine - INFO - Epoch(train) [97][ 500/5005] lr: 1.0000e-04 eta: 0:57:39 time: 0.1762 data_time: 0.0033 loss: 0.8015 03/11 10:15:32 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:15:47 - mmengine - INFO - Epoch(train) [97][ 600/5005] lr: 1.0000e-04 eta: 0:57:21 time: 0.1743 data_time: 0.0032 loss: 0.8927 03/11 10:16:05 - mmengine - INFO - Epoch(train) [97][ 700/5005] lr: 1.0000e-04 eta: 0:57:04 time: 0.1740 data_time: 0.0032 loss: 0.8623 03/11 10:16:23 - mmengine - INFO - Epoch(train) [97][ 800/5005] lr: 1.0000e-04 eta: 0:56:46 time: 0.1735 data_time: 0.0032 loss: 0.8443 03/11 10:16:40 - mmengine - INFO - Epoch(train) [97][ 900/5005] lr: 1.0000e-04 eta: 0:56:28 time: 0.1769 data_time: 0.0035 loss: 0.9824 03/11 10:16:58 - mmengine - INFO - Epoch(train) [97][1000/5005] lr: 1.0000e-04 eta: 0:56:10 time: 0.1966 data_time: 0.0032 loss: 0.9326 03/11 10:17:16 - mmengine - INFO - Epoch(train) [97][1100/5005] lr: 1.0000e-04 eta: 0:55:53 time: 0.1739 data_time: 0.0032 loss: 0.7079 03/11 10:17:34 - mmengine - INFO - Epoch(train) [97][1200/5005] lr: 1.0000e-04 eta: 0:55:35 time: 0.1729 data_time: 0.0034 loss: 0.8329 03/11 10:17:52 - mmengine - INFO - Epoch(train) [97][1300/5005] lr: 1.0000e-04 eta: 0:55:17 time: 0.1738 data_time: 0.0033 loss: 0.8336 03/11 10:18:10 - mmengine - INFO - Epoch(train) [97][1400/5005] lr: 1.0000e-04 eta: 0:55:00 time: 0.1744 data_time: 0.0031 loss: 0.9423 03/11 10:18:27 - mmengine - INFO - Epoch(train) [97][1500/5005] lr: 1.0000e-04 eta: 0:54:42 time: 0.1723 data_time: 0.0032 loss: 1.1124 03/11 10:18:31 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:18:45 - mmengine - INFO - Epoch(train) [97][1600/5005] lr: 1.0000e-04 eta: 0:54:24 time: 0.1718 data_time: 0.0031 loss: 0.8525 03/11 10:19:03 - mmengine - INFO - Epoch(train) [97][1700/5005] lr: 1.0000e-04 eta: 0:54:06 time: 0.1750 data_time: 0.0035 loss: 0.7990 03/11 10:19:21 - mmengine - INFO - Epoch(train) [97][1800/5005] lr: 1.0000e-04 eta: 0:53:49 time: 0.1750 data_time: 0.0033 loss: 0.9253 03/11 10:19:39 - mmengine - INFO - Epoch(train) [97][1900/5005] lr: 1.0000e-04 eta: 0:53:31 time: 0.1735 data_time: 0.0033 loss: 0.7290 03/11 10:19:57 - mmengine - INFO - Epoch(train) [97][2000/5005] lr: 1.0000e-04 eta: 0:53:13 time: 0.1744 data_time: 0.0033 loss: 0.9988 03/11 10:20:14 - mmengine - INFO - Epoch(train) [97][2100/5005] lr: 1.0000e-04 eta: 0:52:55 time: 0.1764 data_time: 0.0033 loss: 0.9824 03/11 10:20:32 - mmengine - INFO - Epoch(train) [97][2200/5005] lr: 1.0000e-04 eta: 0:52:38 time: 0.1759 data_time: 0.0032 loss: 0.7992 03/11 10:20:50 - mmengine - INFO - Epoch(train) [97][2300/5005] lr: 1.0000e-04 eta: 0:52:20 time: 0.1746 data_time: 0.0035 loss: 0.9718 03/11 10:21:08 - mmengine - INFO - Epoch(train) [97][2400/5005] lr: 1.0000e-04 eta: 0:52:02 time: 0.1732 data_time: 0.0033 loss: 1.0229 03/11 10:21:26 - mmengine - INFO - Epoch(train) [97][2500/5005] lr: 1.0000e-04 eta: 0:51:45 time: 0.1701 data_time: 0.0032 loss: 0.9909 03/11 10:21:29 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:21:43 - mmengine - INFO - Epoch(train) [97][2600/5005] lr: 1.0000e-04 eta: 0:51:27 time: 0.1732 data_time: 0.0034 loss: 0.9560 03/11 10:22:01 - mmengine - INFO - Epoch(train) [97][2700/5005] lr: 1.0000e-04 eta: 0:51:09 time: 0.1735 data_time: 0.0034 loss: 0.8950 03/11 10:22:19 - mmengine - INFO - Epoch(train) [97][2800/5005] lr: 1.0000e-04 eta: 0:50:51 time: 0.1907 data_time: 0.0032 loss: 0.8434 03/11 10:22:37 - mmengine - INFO - Epoch(train) [97][2900/5005] lr: 1.0000e-04 eta: 0:50:34 time: 0.1732 data_time: 0.0032 loss: 0.7432 03/11 10:22:55 - mmengine - INFO - Epoch(train) [97][3000/5005] lr: 1.0000e-04 eta: 0:50:16 time: 0.1759 data_time: 0.0032 loss: 0.7965 03/11 10:23:12 - mmengine - INFO - Epoch(train) [97][3100/5005] lr: 1.0000e-04 eta: 0:49:58 time: 0.1763 data_time: 0.0036 loss: 0.9609 03/11 10:23:30 - mmengine - INFO - Epoch(train) [97][3200/5005] lr: 1.0000e-04 eta: 0:49:40 time: 0.1710 data_time: 0.0035 loss: 0.9551 03/11 10:23:48 - mmengine - INFO - Epoch(train) [97][3300/5005] lr: 1.0000e-04 eta: 0:49:23 time: 0.1727 data_time: 0.0034 loss: 0.8856 03/11 10:24:06 - mmengine - INFO - Epoch(train) [97][3400/5005] lr: 1.0000e-04 eta: 0:49:05 time: 0.1769 data_time: 0.0033 loss: 0.6529 03/11 10:24:23 - mmengine - INFO - Epoch(train) [97][3500/5005] lr: 1.0000e-04 eta: 0:48:47 time: 0.1724 data_time: 0.0035 loss: 0.8261 03/11 10:24:27 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:24:41 - mmengine - INFO - Epoch(train) [97][3600/5005] lr: 1.0000e-04 eta: 0:48:30 time: 0.1737 data_time: 0.0032 loss: 0.8083 03/11 10:24:59 - mmengine - INFO - Epoch(train) [97][3700/5005] lr: 1.0000e-04 eta: 0:48:12 time: 0.1749 data_time: 0.0035 loss: 0.7805 03/11 10:25:17 - mmengine - INFO - Epoch(train) [97][3800/5005] lr: 1.0000e-04 eta: 0:47:54 time: 0.1947 data_time: 0.0033 loss: 0.9119 03/11 10:25:35 - mmengine - INFO - Epoch(train) [97][3900/5005] lr: 1.0000e-04 eta: 0:47:36 time: 0.1929 data_time: 0.0031 loss: 0.9890 03/11 10:25:52 - mmengine - INFO - Epoch(train) [97][4000/5005] lr: 1.0000e-04 eta: 0:47:19 time: 0.1719 data_time: 0.0033 loss: 0.7669 03/11 10:26:10 - mmengine - INFO - Epoch(train) [97][4100/5005] lr: 1.0000e-04 eta: 0:47:01 time: 0.1737 data_time: 0.0036 loss: 0.9118 03/11 10:26:28 - mmengine - INFO - Epoch(train) [97][4200/5005] lr: 1.0000e-04 eta: 0:46:43 time: 0.1718 data_time: 0.0033 loss: 0.9195 03/11 10:26:46 - mmengine - INFO - Epoch(train) [97][4300/5005] lr: 1.0000e-04 eta: 0:46:25 time: 0.1751 data_time: 0.0032 loss: 1.0518 03/11 10:27:04 - mmengine - INFO - Epoch(train) [97][4400/5005] lr: 1.0000e-04 eta: 0:46:08 time: 0.1946 data_time: 0.0033 loss: 0.8837 03/11 10:27:21 - mmengine - INFO - Epoch(train) [97][4500/5005] lr: 1.0000e-04 eta: 0:45:50 time: 0.2018 data_time: 0.0035 loss: 0.8024 03/11 10:27:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:27:39 - mmengine - INFO - Epoch(train) [97][4600/5005] lr: 1.0000e-04 eta: 0:45:32 time: 0.1747 data_time: 0.0032 loss: 0.7046 03/11 10:27:56 - mmengine - INFO - Epoch(train) [97][4700/5005] lr: 1.0000e-04 eta: 0:45:15 time: 0.1742 data_time: 0.0034 loss: 0.9592 03/11 10:28:14 - mmengine - INFO - Epoch(train) [97][4800/5005] lr: 1.0000e-04 eta: 0:44:57 time: 0.1708 data_time: 0.0030 loss: 0.8134 03/11 10:28:31 - mmengine - INFO - Epoch(train) [97][4900/5005] lr: 1.0000e-04 eta: 0:44:39 time: 0.1701 data_time: 0.0029 loss: 0.8959 03/11 10:28:49 - mmengine - INFO - Epoch(train) [97][5000/5005] lr: 1.0000e-04 eta: 0:44:21 time: 0.1700 data_time: 0.0031 loss: 0.7603 03/11 10:28:50 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:28:54 - mmengine - INFO - Saving checkpoint at 97 epochs 03/11 10:29:17 - mmengine - INFO - Epoch(val) [97][100/196] eta: 0:00:20 time: 0.0171 data_time: 0.0004 03/11 10:29:31 - mmengine - INFO - Epoch(val) [97][196/196] accuracy/top1: 77.1860 accuracy/top5: 93.4920 03/11 10:30:10 - mmengine - INFO - Epoch(train) [98][ 100/5005] lr: 1.0000e-04 eta: 0:44:03 time: 0.1737 data_time: 0.0040 loss: 0.9554 03/11 10:30:28 - mmengine - INFO - Epoch(train) [98][ 200/5005] lr: 1.0000e-04 eta: 0:43:46 time: 0.1775 data_time: 0.0040 loss: 0.8298 03/11 10:30:46 - mmengine - INFO - Epoch(train) [98][ 300/5005] lr: 1.0000e-04 eta: 0:43:28 time: 0.1747 data_time: 0.0033 loss: 0.8169 03/11 10:31:04 - mmengine - INFO - Epoch(train) [98][ 400/5005] lr: 1.0000e-04 eta: 0:43:10 time: 0.1759 data_time: 0.0035 loss: 0.8052 03/11 10:31:22 - mmengine - INFO - Epoch(train) [98][ 500/5005] lr: 1.0000e-04 eta: 0:42:52 time: 0.2223 data_time: 0.0034 loss: 0.8074 03/11 10:31:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:31:40 - mmengine - INFO - Epoch(train) [98][ 600/5005] lr: 1.0000e-04 eta: 0:42:35 time: 0.1731 data_time: 0.0034 loss: 0.8948 03/11 10:31:58 - mmengine - INFO - Epoch(train) [98][ 700/5005] lr: 1.0000e-04 eta: 0:42:17 time: 0.1742 data_time: 0.0031 loss: 0.8906 03/11 10:32:17 - mmengine - INFO - Epoch(train) [98][ 800/5005] lr: 1.0000e-04 eta: 0:41:59 time: 0.2326 data_time: 0.0032 loss: 0.8524 03/11 10:32:34 - mmengine - INFO - Epoch(train) [98][ 900/5005] lr: 1.0000e-04 eta: 0:41:42 time: 0.1750 data_time: 0.0033 loss: 0.9635 03/11 10:32:52 - mmengine - INFO - Epoch(train) [98][1000/5005] lr: 1.0000e-04 eta: 0:41:24 time: 0.1729 data_time: 0.0034 loss: 0.7928 03/11 10:33:10 - mmengine - INFO - Epoch(train) [98][1100/5005] lr: 1.0000e-04 eta: 0:41:06 time: 0.1740 data_time: 0.0032 loss: 0.7645 03/11 10:33:28 - mmengine - INFO - Epoch(train) [98][1200/5005] lr: 1.0000e-04 eta: 0:40:48 time: 0.1734 data_time: 0.0034 loss: 0.8630 03/11 10:33:47 - mmengine - INFO - Epoch(train) [98][1300/5005] lr: 1.0000e-04 eta: 0:40:31 time: 0.1725 data_time: 0.0032 loss: 0.9092 03/11 10:34:04 - mmengine - INFO - Epoch(train) [98][1400/5005] lr: 1.0000e-04 eta: 0:40:13 time: 0.1750 data_time: 0.0033 loss: 0.7670 03/11 10:34:22 - mmengine - INFO - Epoch(train) [98][1500/5005] lr: 1.0000e-04 eta: 0:39:55 time: 0.1951 data_time: 0.0033 loss: 0.8459 03/11 10:34:25 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:34:40 - mmengine - INFO - Epoch(train) [98][1600/5005] lr: 1.0000e-04 eta: 0:39:37 time: 0.1769 data_time: 0.0036 loss: 0.8144 03/11 10:34:58 - mmengine - INFO - Epoch(train) [98][1700/5005] lr: 1.0000e-04 eta: 0:39:20 time: 0.1749 data_time: 0.0035 loss: 0.9242 03/11 10:35:16 - mmengine - INFO - Epoch(train) [98][1800/5005] lr: 1.0000e-04 eta: 0:39:02 time: 0.1754 data_time: 0.0033 loss: 0.9310 03/11 10:35:34 - mmengine - INFO - Epoch(train) [98][1900/5005] lr: 1.0000e-04 eta: 0:38:44 time: 0.1707 data_time: 0.0033 loss: 0.8860 03/11 10:35:52 - mmengine - INFO - Epoch(train) [98][2000/5005] lr: 1.0000e-04 eta: 0:38:27 time: 0.1719 data_time: 0.0033 loss: 1.0223 03/11 10:36:09 - mmengine - INFO - Epoch(train) [98][2100/5005] lr: 1.0000e-04 eta: 0:38:09 time: 0.1733 data_time: 0.0033 loss: 0.7786 03/11 10:36:27 - mmengine - INFO - Epoch(train) [98][2200/5005] lr: 1.0000e-04 eta: 0:37:51 time: 0.1729 data_time: 0.0033 loss: 0.9193 03/11 10:36:45 - mmengine - INFO - Epoch(train) [98][2300/5005] lr: 1.0000e-04 eta: 0:37:33 time: 0.1755 data_time: 0.0033 loss: 0.8360 03/11 10:37:02 - mmengine - INFO - Epoch(train) [98][2400/5005] lr: 1.0000e-04 eta: 0:37:16 time: 0.1724 data_time: 0.0036 loss: 0.8187 03/11 10:37:21 - mmengine - INFO - Epoch(train) [98][2500/5005] lr: 1.0000e-04 eta: 0:36:58 time: 0.2189 data_time: 0.0033 loss: 0.8929 03/11 10:37:23 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:37:38 - mmengine - INFO - Epoch(train) [98][2600/5005] lr: 1.0000e-04 eta: 0:36:40 time: 0.1746 data_time: 0.0032 loss: 1.0265 03/11 10:37:56 - mmengine - INFO - Epoch(train) [98][2700/5005] lr: 1.0000e-04 eta: 0:36:22 time: 0.1734 data_time: 0.0033 loss: 0.8998 03/11 10:38:14 - mmengine - INFO - Epoch(train) [98][2800/5005] lr: 1.0000e-04 eta: 0:36:05 time: 0.1707 data_time: 0.0034 loss: 0.8522 03/11 10:38:31 - mmengine - INFO - Epoch(train) [98][2900/5005] lr: 1.0000e-04 eta: 0:35:47 time: 0.1733 data_time: 0.0031 loss: 0.8197 03/11 10:38:49 - mmengine - INFO - Epoch(train) [98][3000/5005] lr: 1.0000e-04 eta: 0:35:29 time: 0.1730 data_time: 0.0032 loss: 0.7042 03/11 10:39:07 - mmengine - INFO - Epoch(train) [98][3100/5005] lr: 1.0000e-04 eta: 0:35:12 time: 0.1732 data_time: 0.0034 loss: 0.9710 03/11 10:39:25 - mmengine - INFO - Epoch(train) [98][3200/5005] lr: 1.0000e-04 eta: 0:34:54 time: 0.1735 data_time: 0.0035 loss: 0.9058 03/11 10:39:43 - mmengine - INFO - Epoch(train) [98][3300/5005] lr: 1.0000e-04 eta: 0:34:36 time: 0.1756 data_time: 0.0032 loss: 0.8173 03/11 10:40:00 - mmengine - INFO - Epoch(train) [98][3400/5005] lr: 1.0000e-04 eta: 0:34:18 time: 0.1729 data_time: 0.0035 loss: 1.0078 03/11 10:40:18 - mmengine - INFO - Epoch(train) [98][3500/5005] lr: 1.0000e-04 eta: 0:34:01 time: 0.1728 data_time: 0.0031 loss: 0.8612 03/11 10:40:21 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:40:36 - mmengine - INFO - Epoch(train) [98][3600/5005] lr: 1.0000e-04 eta: 0:33:43 time: 0.1723 data_time: 0.0032 loss: 0.9078 03/11 10:40:54 - mmengine - INFO - Epoch(train) [98][3700/5005] lr: 1.0000e-04 eta: 0:33:25 time: 0.1746 data_time: 0.0033 loss: 0.7544 03/11 10:41:12 - mmengine - INFO - Epoch(train) [98][3800/5005] lr: 1.0000e-04 eta: 0:33:07 time: 0.1768 data_time: 0.0033 loss: 0.9343 03/11 10:41:29 - mmengine - INFO - Epoch(train) [98][3900/5005] lr: 1.0000e-04 eta: 0:32:50 time: 0.1740 data_time: 0.0034 loss: 0.7540 03/11 10:41:47 - mmengine - INFO - Epoch(train) [98][4000/5005] lr: 1.0000e-04 eta: 0:32:32 time: 0.1728 data_time: 0.0035 loss: 0.8726 03/11 10:42:05 - mmengine - INFO - Epoch(train) [98][4100/5005] lr: 1.0000e-04 eta: 0:32:14 time: 0.1717 data_time: 0.0034 loss: 0.8347 03/11 10:42:22 - mmengine - INFO - Epoch(train) [98][4200/5005] lr: 1.0000e-04 eta: 0:31:57 time: 0.1725 data_time: 0.0034 loss: 0.8601 03/11 10:42:40 - mmengine - INFO - Epoch(train) [98][4300/5005] lr: 1.0000e-04 eta: 0:31:39 time: 0.1919 data_time: 0.0036 loss: 0.9474 03/11 10:42:58 - mmengine - INFO - Epoch(train) [98][4400/5005] lr: 1.0000e-04 eta: 0:31:21 time: 0.1706 data_time: 0.0035 loss: 0.8190 03/11 10:43:16 - mmengine - INFO - Epoch(train) [98][4500/5005] lr: 1.0000e-04 eta: 0:31:03 time: 0.1716 data_time: 0.0032 loss: 0.8536 03/11 10:43:18 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:43:33 - mmengine - INFO - Epoch(train) [98][4600/5005] lr: 1.0000e-04 eta: 0:30:46 time: 0.1756 data_time: 0.0033 loss: 0.7828 03/11 10:43:51 - mmengine - INFO - Epoch(train) [98][4700/5005] lr: 1.0000e-04 eta: 0:30:28 time: 0.1738 data_time: 0.0037 loss: 1.0360 03/11 10:44:09 - mmengine - INFO - Epoch(train) [98][4800/5005] lr: 1.0000e-04 eta: 0:30:10 time: 0.1697 data_time: 0.0029 loss: 0.8825 03/11 10:44:26 - mmengine - INFO - Epoch(train) [98][4900/5005] lr: 1.0000e-04 eta: 0:29:52 time: 0.1721 data_time: 0.0031 loss: 0.7917 03/11 10:44:43 - mmengine - INFO - Epoch(train) [98][5000/5005] lr: 1.0000e-04 eta: 0:29:35 time: 0.1690 data_time: 0.0034 loss: 0.9440 03/11 10:44:44 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:44:49 - mmengine - INFO - Saving checkpoint at 98 epochs 03/11 10:45:12 - mmengine - INFO - Epoch(val) [98][100/196] eta: 0:00:21 time: 0.0167 data_time: 0.0004 03/11 10:45:26 - mmengine - INFO - Epoch(val) [98][196/196] accuracy/top1: 77.1800 accuracy/top5: 93.4320 03/11 10:46:04 - mmengine - INFO - Epoch(train) [99][ 100/5005] lr: 1.0000e-04 eta: 0:29:16 time: 0.1712 data_time: 0.0036 loss: 0.9024 03/11 10:46:22 - mmengine - INFO - Epoch(train) [99][ 200/5005] lr: 1.0000e-04 eta: 0:28:59 time: 0.1747 data_time: 0.0038 loss: 1.0325 03/11 10:46:41 - mmengine - INFO - Epoch(train) [99][ 300/5005] lr: 1.0000e-04 eta: 0:28:41 time: 0.1754 data_time: 0.0035 loss: 0.8540 03/11 10:46:59 - mmengine - INFO - Epoch(train) [99][ 400/5005] lr: 1.0000e-04 eta: 0:28:23 time: 0.1893 data_time: 0.0035 loss: 0.8217 03/11 10:47:17 - mmengine - INFO - Epoch(train) [99][ 500/5005] lr: 1.0000e-04 eta: 0:28:06 time: 0.1748 data_time: 0.0036 loss: 0.7048 03/11 10:47:19 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:47:35 - mmengine - INFO - Epoch(train) [99][ 600/5005] lr: 1.0000e-04 eta: 0:27:48 time: 0.1837 data_time: 0.0035 loss: 0.8047 03/11 10:47:53 - mmengine - INFO - Epoch(train) [99][ 700/5005] lr: 1.0000e-04 eta: 0:27:30 time: 0.1746 data_time: 0.0037 loss: 0.9702 03/11 10:48:11 - mmengine - INFO - Epoch(train) [99][ 800/5005] lr: 1.0000e-04 eta: 0:27:12 time: 0.1709 data_time: 0.0035 loss: 0.8162 03/11 10:48:29 - mmengine - INFO - Epoch(train) [99][ 900/5005] lr: 1.0000e-04 eta: 0:26:55 time: 0.1714 data_time: 0.0035 loss: 0.8546 03/11 10:48:46 - mmengine - INFO - Epoch(train) [99][1000/5005] lr: 1.0000e-04 eta: 0:26:37 time: 0.1743 data_time: 0.0036 loss: 0.7208 03/11 10:49:05 - mmengine - INFO - Epoch(train) [99][1100/5005] lr: 1.0000e-04 eta: 0:26:19 time: 0.1746 data_time: 0.0034 loss: 0.8142 03/11 10:49:22 - mmengine - INFO - Epoch(train) [99][1200/5005] lr: 1.0000e-04 eta: 0:26:01 time: 0.1742 data_time: 0.0037 loss: 0.7769 03/11 10:49:40 - mmengine - INFO - Epoch(train) [99][1300/5005] lr: 1.0000e-04 eta: 0:25:44 time: 0.1724 data_time: 0.0033 loss: 0.8540 03/11 10:49:58 - mmengine - INFO - Epoch(train) [99][1400/5005] lr: 1.0000e-04 eta: 0:25:26 time: 0.1713 data_time: 0.0032 loss: 0.8311 03/11 10:50:16 - mmengine - INFO - Epoch(train) [99][1500/5005] lr: 1.0000e-04 eta: 0:25:08 time: 0.1745 data_time: 0.0035 loss: 0.9092 03/11 10:50:17 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:50:33 - mmengine - INFO - Epoch(train) [99][1600/5005] lr: 1.0000e-04 eta: 0:24:51 time: 0.1746 data_time: 0.0036 loss: 0.7673 03/11 10:50:51 - mmengine - INFO - Epoch(train) [99][1700/5005] lr: 1.0000e-04 eta: 0:24:33 time: 0.1749 data_time: 0.0036 loss: 0.9537 03/11 10:51:09 - mmengine - INFO - Epoch(train) [99][1800/5005] lr: 1.0000e-04 eta: 0:24:15 time: 0.1747 data_time: 0.0034 loss: 0.8884 03/11 10:51:27 - mmengine - INFO - Epoch(train) [99][1900/5005] lr: 1.0000e-04 eta: 0:23:57 time: 0.1719 data_time: 0.0038 loss: 0.9456 03/11 10:51:45 - mmengine - INFO - Epoch(train) [99][2000/5005] lr: 1.0000e-04 eta: 0:23:40 time: 0.1730 data_time: 0.0036 loss: 0.9317 03/11 10:52:03 - mmengine - INFO - Epoch(train) [99][2100/5005] lr: 1.0000e-04 eta: 0:23:22 time: 0.1749 data_time: 0.0036 loss: 0.8706 03/11 10:52:21 - mmengine - INFO - Epoch(train) [99][2200/5005] lr: 1.0000e-04 eta: 0:23:04 time: 0.1729 data_time: 0.0034 loss: 0.9536 03/11 10:52:38 - mmengine - INFO - Epoch(train) [99][2300/5005] lr: 1.0000e-04 eta: 0:22:46 time: 0.1736 data_time: 0.0035 loss: 0.9156 03/11 10:52:56 - mmengine - INFO - Epoch(train) [99][2400/5005] lr: 1.0000e-04 eta: 0:22:29 time: 0.1715 data_time: 0.0037 loss: 0.6770 03/11 10:53:14 - mmengine - INFO - Epoch(train) [99][2500/5005] lr: 1.0000e-04 eta: 0:22:11 time: 0.1729 data_time: 0.0037 loss: 0.8537 03/11 10:53:15 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:53:31 - mmengine - INFO - Epoch(train) [99][2600/5005] lr: 1.0000e-04 eta: 0:21:53 time: 0.1722 data_time: 0.0040 loss: 0.8243 03/11 10:53:49 - mmengine - INFO - Epoch(train) [99][2700/5005] lr: 1.0000e-04 eta: 0:21:35 time: 0.1732 data_time: 0.0035 loss: 0.9938 03/11 10:54:07 - mmengine - INFO - Epoch(train) [99][2800/5005] lr: 1.0000e-04 eta: 0:21:18 time: 0.1893 data_time: 0.0034 loss: 0.8932 03/11 10:54:25 - mmengine - INFO - Epoch(train) [99][2900/5005] lr: 1.0000e-04 eta: 0:21:00 time: 0.1738 data_time: 0.0037 loss: 0.9303 03/11 10:54:42 - mmengine - INFO - Epoch(train) [99][3000/5005] lr: 1.0000e-04 eta: 0:20:42 time: 0.1743 data_time: 0.0040 loss: 0.7428 03/11 10:55:00 - mmengine - INFO - Epoch(train) [99][3100/5005] lr: 1.0000e-04 eta: 0:20:25 time: 0.1695 data_time: 0.0042 loss: 0.8355 03/11 10:55:18 - mmengine - INFO - Epoch(train) [99][3200/5005] lr: 1.0000e-04 eta: 0:20:07 time: 0.1722 data_time: 0.0034 loss: 0.9011 03/11 10:55:36 - mmengine - INFO - Epoch(train) [99][3300/5005] lr: 1.0000e-04 eta: 0:19:49 time: 0.1746 data_time: 0.0035 loss: 0.8257 03/11 10:55:54 - mmengine - INFO - Epoch(train) [99][3400/5005] lr: 1.0000e-04 eta: 0:19:31 time: 0.1738 data_time: 0.0034 loss: 0.8014 03/11 10:56:11 - mmengine - INFO - Epoch(train) [99][3500/5005] lr: 1.0000e-04 eta: 0:19:14 time: 0.1746 data_time: 0.0034 loss: 0.8138 03/11 10:56:13 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:56:29 - mmengine - INFO - Epoch(train) [99][3600/5005] lr: 1.0000e-04 eta: 0:18:56 time: 0.1775 data_time: 0.0035 loss: 0.9396 03/11 10:56:46 - mmengine - INFO - Epoch(train) [99][3700/5005] lr: 1.0000e-04 eta: 0:18:38 time: 0.1737 data_time: 0.0036 loss: 1.0784 03/11 10:57:04 - mmengine - INFO - Epoch(train) [99][3800/5005] lr: 1.0000e-04 eta: 0:18:20 time: 0.1739 data_time: 0.0034 loss: 0.7688 03/11 10:57:22 - mmengine - INFO - Epoch(train) [99][3900/5005] lr: 1.0000e-04 eta: 0:18:03 time: 0.1741 data_time: 0.0040 loss: 0.8460 03/11 10:57:40 - mmengine - INFO - Epoch(train) [99][4000/5005] lr: 1.0000e-04 eta: 0:17:45 time: 0.1723 data_time: 0.0032 loss: 1.0177 03/11 10:57:57 - mmengine - INFO - Epoch(train) [99][4100/5005] lr: 1.0000e-04 eta: 0:17:27 time: 0.1734 data_time: 0.0033 loss: 0.7487 03/11 10:58:15 - mmengine - INFO - Epoch(train) [99][4200/5005] lr: 1.0000e-04 eta: 0:17:10 time: 0.1769 data_time: 0.0033 loss: 1.0060 03/11 10:58:33 - mmengine - INFO - Epoch(train) [99][4300/5005] lr: 1.0000e-04 eta: 0:16:52 time: 0.1742 data_time: 0.0032 loss: 0.8880 03/11 10:58:50 - mmengine - INFO - Epoch(train) [99][4400/5005] lr: 1.0000e-04 eta: 0:16:34 time: 0.1733 data_time: 0.0031 loss: 0.8191 03/11 10:59:08 - mmengine - INFO - Epoch(train) [99][4500/5005] lr: 1.0000e-04 eta: 0:16:16 time: 0.1710 data_time: 0.0031 loss: 0.7758 03/11 10:59:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 10:59:26 - mmengine - INFO - Epoch(train) [99][4600/5005] lr: 1.0000e-04 eta: 0:15:59 time: 0.1736 data_time: 0.0033 loss: 0.8111 03/11 10:59:44 - mmengine - INFO - Epoch(train) [99][4700/5005] lr: 1.0000e-04 eta: 0:15:41 time: 0.1752 data_time: 0.0032 loss: 1.0440 03/11 11:00:01 - mmengine - INFO - Epoch(train) [99][4800/5005] lr: 1.0000e-04 eta: 0:15:23 time: 0.1704 data_time: 0.0035 loss: 0.8376 03/11 11:00:19 - mmengine - INFO - Epoch(train) [99][4900/5005] lr: 1.0000e-04 eta: 0:15:05 time: 0.1714 data_time: 0.0031 loss: 0.7744 03/11 11:00:36 - mmengine - INFO - Epoch(train) [99][5000/5005] lr: 1.0000e-04 eta: 0:14:48 time: 0.1702 data_time: 0.0032 loss: 0.7099 03/11 11:00:37 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:00:42 - mmengine - INFO - Saving checkpoint at 99 epochs 03/11 11:01:05 - mmengine - INFO - Epoch(val) [99][100/196] eta: 0:00:21 time: 0.0149 data_time: 0.0002 03/11 11:01:19 - mmengine - INFO - Epoch(val) [99][196/196] accuracy/top1: 77.1700 accuracy/top5: 93.4540 03/11 11:01:58 - mmengine - INFO - Epoch(train) [100][ 100/5005] lr: 1.0000e-04 eta: 0:14:29 time: 0.1907 data_time: 0.0042 loss: 0.9126 03/11 11:02:16 - mmengine - INFO - Epoch(train) [100][ 200/5005] lr: 1.0000e-04 eta: 0:14:12 time: 0.1753 data_time: 0.0042 loss: 0.8836 03/11 11:02:34 - mmengine - INFO - Epoch(train) [100][ 300/5005] lr: 1.0000e-04 eta: 0:13:54 time: 0.1923 data_time: 0.0050 loss: 0.7334 03/11 11:02:53 - mmengine - INFO - Epoch(train) [100][ 400/5005] lr: 1.0000e-04 eta: 0:13:36 time: 0.1750 data_time: 0.0043 loss: 0.7980 03/11 11:03:11 - mmengine - INFO - Epoch(train) [100][ 500/5005] lr: 1.0000e-04 eta: 0:13:18 time: 0.1715 data_time: 0.0034 loss: 1.0290 03/11 11:03:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:03:29 - mmengine - INFO - Epoch(train) [100][ 600/5005] lr: 1.0000e-04 eta: 0:13:01 time: 0.1727 data_time: 0.0035 loss: 0.8395 03/11 11:03:47 - mmengine - INFO - Epoch(train) [100][ 700/5005] lr: 1.0000e-04 eta: 0:12:43 time: 0.1740 data_time: 0.0033 loss: 0.8450 03/11 11:04:05 - mmengine - INFO - Epoch(train) [100][ 800/5005] lr: 1.0000e-04 eta: 0:12:25 time: 0.1727 data_time: 0.0039 loss: 0.8545 03/11 11:04:22 - mmengine - INFO - Epoch(train) [100][ 900/5005] lr: 1.0000e-04 eta: 0:12:07 time: 0.1743 data_time: 0.0036 loss: 0.8256 03/11 11:04:41 - mmengine - INFO - Epoch(train) [100][1000/5005] lr: 1.0000e-04 eta: 0:11:50 time: 0.1745 data_time: 0.0032 loss: 0.8576 03/11 11:04:58 - mmengine - INFO - Epoch(train) [100][1100/5005] lr: 1.0000e-04 eta: 0:11:32 time: 0.1749 data_time: 0.0036 loss: 0.7809 03/11 11:05:16 - mmengine - INFO - Epoch(train) [100][1200/5005] lr: 1.0000e-04 eta: 0:11:14 time: 0.1718 data_time: 0.0036 loss: 0.9282 03/11 11:05:35 - mmengine - INFO - Epoch(train) [100][1300/5005] lr: 1.0000e-04 eta: 0:10:56 time: 0.1728 data_time: 0.0039 loss: 0.7037 03/11 11:05:52 - mmengine - INFO - Epoch(train) [100][1400/5005] lr: 1.0000e-04 eta: 0:10:39 time: 0.1727 data_time: 0.0036 loss: 0.7519 03/11 11:06:10 - mmengine - INFO - Epoch(train) [100][1500/5005] lr: 1.0000e-04 eta: 0:10:21 time: 0.1741 data_time: 0.0036 loss: 0.8088 03/11 11:06:12 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:06:29 - mmengine - INFO - Epoch(train) [100][1600/5005] lr: 1.0000e-04 eta: 0:10:03 time: 0.1743 data_time: 0.0034 loss: 0.7846 03/11 11:06:47 - mmengine - INFO - Epoch(train) [100][1700/5005] lr: 1.0000e-04 eta: 0:09:46 time: 0.1749 data_time: 0.0038 loss: 0.8885 03/11 11:07:04 - mmengine - INFO - Epoch(train) [100][1800/5005] lr: 1.0000e-04 eta: 0:09:28 time: 0.1756 data_time: 0.0037 loss: 1.0215 03/11 11:07:23 - mmengine - INFO - Epoch(train) [100][1900/5005] lr: 1.0000e-04 eta: 0:09:10 time: 0.1717 data_time: 0.0034 loss: 0.8780 03/11 11:07:40 - mmengine - INFO - Epoch(train) [100][2000/5005] lr: 1.0000e-04 eta: 0:08:52 time: 0.1713 data_time: 0.0033 loss: 0.9086 03/11 11:07:58 - mmengine - INFO - Epoch(train) [100][2100/5005] lr: 1.0000e-04 eta: 0:08:35 time: 0.1771 data_time: 0.0034 loss: 1.0468 03/11 11:08:16 - mmengine - INFO - Epoch(train) [100][2200/5005] lr: 1.0000e-04 eta: 0:08:17 time: 0.1739 data_time: 0.0034 loss: 1.0107 03/11 11:08:34 - mmengine - INFO - Epoch(train) [100][2300/5005] lr: 1.0000e-04 eta: 0:07:59 time: 0.1754 data_time: 0.0034 loss: 0.8234 03/11 11:08:52 - mmengine - INFO - Epoch(train) [100][2400/5005] lr: 1.0000e-04 eta: 0:07:41 time: 0.1717 data_time: 0.0035 loss: 1.0401 03/11 11:09:09 - mmengine - INFO - Epoch(train) [100][2500/5005] lr: 1.0000e-04 eta: 0:07:24 time: 0.1725 data_time: 0.0033 loss: 0.8326 03/11 11:09:10 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:09:27 - mmengine - INFO - Epoch(train) [100][2600/5005] lr: 1.0000e-04 eta: 0:07:06 time: 0.1747 data_time: 0.0036 loss: 0.9618 03/11 11:09:45 - mmengine - INFO - Epoch(train) [100][2700/5005] lr: 1.0000e-04 eta: 0:06:48 time: 0.1726 data_time: 0.0038 loss: 0.7651 03/11 11:10:03 - mmengine - INFO - Epoch(train) [100][2800/5005] lr: 1.0000e-04 eta: 0:06:30 time: 0.1711 data_time: 0.0036 loss: 0.6497 03/11 11:10:21 - mmengine - INFO - Epoch(train) [100][2900/5005] lr: 1.0000e-04 eta: 0:06:13 time: 0.1927 data_time: 0.0036 loss: 0.9781 03/11 11:10:38 - mmengine - INFO - Epoch(train) [100][3000/5005] lr: 1.0000e-04 eta: 0:05:55 time: 0.1726 data_time: 0.0035 loss: 0.8177 03/11 11:10:56 - mmengine - INFO - Epoch(train) [100][3100/5005] lr: 1.0000e-04 eta: 0:05:37 time: 0.1733 data_time: 0.0038 loss: 0.9108 03/11 11:11:14 - mmengine - INFO - Epoch(train) [100][3200/5005] lr: 1.0000e-04 eta: 0:05:20 time: 0.1883 data_time: 0.0037 loss: 0.8442 03/11 11:11:32 - mmengine - INFO - Epoch(train) [100][3300/5005] lr: 1.0000e-04 eta: 0:05:02 time: 0.1913 data_time: 0.0033 loss: 0.8992 03/11 11:11:49 - mmengine - INFO - Epoch(train) [100][3400/5005] lr: 1.0000e-04 eta: 0:04:44 time: 0.1736 data_time: 0.0035 loss: 0.8047 03/11 11:12:07 - mmengine - INFO - Epoch(train) [100][3500/5005] lr: 1.0000e-04 eta: 0:04:26 time: 0.1720 data_time: 0.0033 loss: 0.7502 03/11 11:12:08 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:12:25 - mmengine - INFO - Epoch(train) [100][3600/5005] lr: 1.0000e-04 eta: 0:04:09 time: 0.1780 data_time: 0.0035 loss: 0.8181 03/11 11:12:43 - mmengine - INFO - Epoch(train) [100][3700/5005] lr: 1.0000e-04 eta: 0:03:51 time: 0.1734 data_time: 0.0038 loss: 0.8199 03/11 11:13:00 - mmengine - INFO - Epoch(train) [100][3800/5005] lr: 1.0000e-04 eta: 0:03:33 time: 0.1747 data_time: 0.0041 loss: 0.8040 03/11 11:13:19 - mmengine - INFO - Epoch(train) [100][3900/5005] lr: 1.0000e-04 eta: 0:03:15 time: 0.1729 data_time: 0.0035 loss: 0.8161 03/11 11:13:36 - mmengine - INFO - Epoch(train) [100][4000/5005] lr: 1.0000e-04 eta: 0:02:58 time: 0.1749 data_time: 0.0034 loss: 0.7097 03/11 11:13:54 - mmengine - INFO - Epoch(train) [100][4100/5005] lr: 1.0000e-04 eta: 0:02:40 time: 0.1738 data_time: 0.0036 loss: 0.9382 03/11 11:14:12 - mmengine - INFO - Epoch(train) [100][4200/5005] lr: 1.0000e-04 eta: 0:02:22 time: 0.1726 data_time: 0.0033 loss: 0.7369 03/11 11:14:29 - mmengine - INFO - Epoch(train) [100][4300/5005] lr: 1.0000e-04 eta: 0:02:05 time: 0.1744 data_time: 0.0034 loss: 0.8393 03/11 11:14:47 - mmengine - INFO - Epoch(train) [100][4400/5005] lr: 1.0000e-04 eta: 0:01:47 time: 0.1738 data_time: 0.0042 loss: 0.8518 03/11 11:15:05 - mmengine - INFO - Epoch(train) [100][4500/5005] lr: 1.0000e-04 eta: 0:01:29 time: 0.1713 data_time: 0.0038 loss: 0.7995 03/11 11:15:06 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:15:23 - mmengine - INFO - Epoch(train) [100][4600/5005] lr: 1.0000e-04 eta: 0:01:11 time: 0.1716 data_time: 0.0036 loss: 0.9250 03/11 11:15:40 - mmengine - INFO - Epoch(train) [100][4700/5005] lr: 1.0000e-04 eta: 0:00:54 time: 0.1722 data_time: 0.0035 loss: 0.8085 03/11 11:15:58 - mmengine - INFO - Epoch(train) [100][4800/5005] lr: 1.0000e-04 eta: 0:00:36 time: 0.1715 data_time: 0.0033 loss: 0.8281 03/11 11:16:15 - mmengine - INFO - Epoch(train) [100][4900/5005] lr: 1.0000e-04 eta: 0:00:18 time: 0.1725 data_time: 0.0033 loss: 0.8326 03/11 11:16:33 - mmengine - INFO - Epoch(train) [100][5000/5005] lr: 1.0000e-04 eta: 0:00:00 time: 0.1737 data_time: 0.0032 loss: 0.8086 03/11 11:16:34 - mmengine - INFO - Exp name: cspresnext50_8xb32_in1k_20230310_092037 03/11 11:16:38 - mmengine - INFO - Saving checkpoint at 100 epochs 03/11 11:17:01 - mmengine - INFO - Epoch(val) [100][100/196] eta: 0:00:20 time: 0.0164 data_time: 0.0003 03/11 11:17:15 - mmengine - INFO - Epoch(val) [100][196/196] accuracy/top1: 77.2520 accuracy/top5: 93.4660