03/03 14:42:12 - 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: 151730802 GCC: gcc (GCC) 7.3.0 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: 0.6.0 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 ------------------------------------------------------------ 03/03 14:42:12 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict( type='ResNetV1d', depth=152, num_stages=4, out_indices=(3, ), style='pytorch'), neck=dict(type='GlobalAveragePooling'), head=dict( type='LinearClsHead', num_classes=1000, in_channels=2048, loss=dict(type='CrossEntropyLoss', loss_weight=1.0), topk=(1, 5))) dataset_type = 'ImageNet' data_preprocessor = dict( num_classes=1000, mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='PackClsInputs') ] test_pipeline = [ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short', backend='pillow'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ] train_dataloader = dict( pin_memory=True, persistent_workers=False, collate_fn=dict(type='default_collate'), batch_size=32, num_workers=24, dataset=dict( type='ImageNet', data_root='data/imagenet', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=True)) val_dataloader = dict( pin_memory=True, persistent_workers=False, collate_fn=dict(type='default_collate'), batch_size=32, num_workers=24, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/val.txt', data_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short', backend='pillow'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=False)) val_evaluator = dict(type='Accuracy', topk=(1, 5)) test_dataloader = dict( pin_memory=True, persistent_workers=False, collate_fn=dict(type='default_collate'), batch_size=32, num_workers=24, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/val.txt', data_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict(type='ResizeEdge', scale=256, edge='short', backend='pillow'), dict(type='CenterCrop', crop_size=224), dict(type='PackClsInputs') ]), sampler=dict(type='DefaultSampler', shuffle=False)) test_evaluator = dict(type='Accuracy', topk=(1, 5)) optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0001)) param_scheduler = dict( type='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) launcher = 'pytorch' work_dir = './work_dirs/resnetv1d152_8xb32_in1k' 03/03 14:42:12 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:12 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:13 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:18 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:18 - 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 -------------------- 03/03 14:42:18 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:18 - 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 03/03 14:42:50 - mmengine - WARNING - The "data sampler" 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 03/03 14:42:50 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:50 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:42:50 - 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 03/03 14:42:50 - 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 03/03 14:42:50 - mmengine - WARNING - The "metric" 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 03/03 14:43:02 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/03 14:43:20 - mmengine - INFO - Checkpoints will be saved to /home/lml/mmcv_2.x/mmclassification/work_dirs/resnetv1d152_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()) 03/03 14:46:28 - mmengine - INFO - Epoch(train) [1][ 100/5005] lr: 1.0000e-01 eta: 10 days, 21:57:42 time: 0.4175 data_time: 0.0013 loss: 6.5748 03/03 14:47:10 - mmengine - INFO - Epoch(train) [1][ 200/5005] lr: 1.0000e-01 eta: 6 days, 16:17:57 time: 0.4179 data_time: 0.0017 loss: 6.4282 03/03 14:47:52 - mmengine - INFO - Epoch(train) [1][ 300/5005] lr: 1.0000e-01 eta: 5 days, 6:12:50 time: 0.4164 data_time: 0.0017 loss: 6.2375 03/03 14:48:34 - mmengine - INFO - Epoch(train) [1][ 400/5005] lr: 1.0000e-01 eta: 4 days, 13:15:35 time: 0.4191 data_time: 0.0018 loss: 6.0533 03/03 14:49:16 - mmengine - INFO - Epoch(train) [1][ 500/5005] lr: 1.0000e-01 eta: 4 days, 3:03:20 time: 0.4216 data_time: 0.0018 loss: 6.0487 03/03 14:49:58 - mmengine - INFO - Epoch(train) [1][ 600/5005] lr: 1.0000e-01 eta: 3 days, 20:14:04 time: 0.4207 data_time: 0.0017 loss: 5.9010 03/03 14:50:40 - mmengine - INFO - Epoch(train) [1][ 700/5005] lr: 1.0000e-01 eta: 3 days, 15:26:33 time: 0.4258 data_time: 0.0017 loss: 5.6518 03/03 14:51:23 - mmengine - INFO - Epoch(train) [1][ 800/5005] lr: 1.0000e-01 eta: 3 days, 11:49:59 time: 0.4219 data_time: 0.0018 loss: 5.5432 03/03 14:52:05 - mmengine - INFO - Epoch(train) [1][ 900/5005] lr: 1.0000e-01 eta: 3 days, 9:00:27 time: 0.4181 data_time: 0.0017 loss: 5.5933 03/03 14:52:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 14:52:47 - mmengine - INFO - Epoch(train) [1][1000/5005] lr: 1.0000e-01 eta: 3 days, 6:45:53 time: 0.4251 data_time: 0.0018 loss: 5.4116 03/03 14:53:30 - mmengine - INFO - Epoch(train) [1][1100/5005] lr: 1.0000e-01 eta: 3 days, 4:56:18 time: 0.4219 data_time: 0.0017 loss: 5.3027 03/03 14:54:12 - mmengine - INFO - Epoch(train) [1][1200/5005] lr: 1.0000e-01 eta: 3 days, 3:24:16 time: 0.4250 data_time: 0.0017 loss: 5.3689 03/03 14:54:54 - mmengine - INFO - Epoch(train) [1][1300/5005] lr: 1.0000e-01 eta: 3 days, 2:06:47 time: 0.4301 data_time: 0.0017 loss: 5.1558 03/03 14:55:37 - mmengine - INFO - Epoch(train) [1][1400/5005] lr: 1.0000e-01 eta: 3 days, 0:59:20 time: 0.4227 data_time: 0.0019 loss: 5.1583 03/03 14:56:19 - mmengine - INFO - Epoch(train) [1][1500/5005] lr: 1.0000e-01 eta: 3 days, 0:00:23 time: 0.4202 data_time: 0.0017 loss: 5.0768 03/03 14:57:01 - mmengine - INFO - Epoch(train) [1][1600/5005] lr: 1.0000e-01 eta: 2 days, 23:10:16 time: 0.4204 data_time: 0.0019 loss: 5.1706 03/03 14:57:44 - mmengine - INFO - Epoch(train) [1][1700/5005] lr: 1.0000e-01 eta: 2 days, 22:24:52 time: 0.4222 data_time: 0.0018 loss: 5.0555 03/03 14:58:26 - mmengine - INFO - Epoch(train) [1][1800/5005] lr: 1.0000e-01 eta: 2 days, 21:44:34 time: 0.4214 data_time: 0.0018 loss: 4.8560 03/03 14:59:08 - mmengine - INFO - Epoch(train) [1][1900/5005] lr: 1.0000e-01 eta: 2 days, 21:08:09 time: 0.4237 data_time: 0.0018 loss: 5.0046 03/03 14:59:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 14:59:51 - mmengine - INFO - Epoch(train) [1][2000/5005] lr: 1.0000e-01 eta: 2 days, 20:37:04 time: 0.4619 data_time: 0.0017 loss: 4.7617 03/03 15:00:33 - mmengine - INFO - Epoch(train) [1][2100/5005] lr: 1.0000e-01 eta: 2 days, 20:07:58 time: 0.4209 data_time: 0.0017 loss: 4.7578 03/03 15:01:15 - mmengine - INFO - Epoch(train) [1][2200/5005] lr: 1.0000e-01 eta: 2 days, 19:41:00 time: 0.4277 data_time: 0.0017 loss: 4.7446 03/03 15:01:58 - mmengine - INFO - Epoch(train) [1][2300/5005] lr: 1.0000e-01 eta: 2 days, 19:17:25 time: 0.4195 data_time: 0.0017 loss: 4.6340 03/03 15:02:40 - mmengine - INFO - Epoch(train) [1][2400/5005] lr: 1.0000e-01 eta: 2 days, 18:55:06 time: 0.4210 data_time: 0.0017 loss: 4.5831 03/03 15:03:23 - mmengine - INFO - Epoch(train) [1][2500/5005] lr: 1.0000e-01 eta: 2 days, 18:34:27 time: 0.4228 data_time: 0.0018 loss: 4.6461 03/03 15:04:05 - mmengine - INFO - Epoch(train) [1][2600/5005] lr: 1.0000e-01 eta: 2 days, 18:14:56 time: 0.4243 data_time: 0.0018 loss: 4.3838 03/03 15:04:47 - mmengine - INFO - Epoch(train) [1][2700/5005] lr: 1.0000e-01 eta: 2 days, 17:57:23 time: 0.4230 data_time: 0.0018 loss: 4.5199 03/03 15:05:30 - mmengine - INFO - Epoch(train) [1][2800/5005] lr: 1.0000e-01 eta: 2 days, 17:40:11 time: 0.4188 data_time: 0.0019 loss: 4.2193 03/03 15:06:12 - mmengine - INFO - Epoch(train) [1][2900/5005] lr: 1.0000e-01 eta: 2 days, 17:24:22 time: 0.4238 data_time: 0.0018 loss: 4.4635 03/03 15:06:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:06:54 - mmengine - INFO - Epoch(train) [1][3000/5005] lr: 1.0000e-01 eta: 2 days, 17:10:05 time: 0.4207 data_time: 0.0017 loss: 4.2626 03/03 15:07:37 - mmengine - INFO - Epoch(train) [1][3100/5005] lr: 1.0000e-01 eta: 2 days, 16:56:24 time: 0.4227 data_time: 0.0017 loss: 4.2849 03/03 15:08:19 - mmengine - INFO - Epoch(train) [1][3200/5005] lr: 1.0000e-01 eta: 2 days, 16:43:05 time: 0.4204 data_time: 0.0018 loss: 4.3548 03/03 15:09:01 - mmengine - INFO - Epoch(train) [1][3300/5005] lr: 1.0000e-01 eta: 2 days, 16:30:43 time: 0.4204 data_time: 0.0018 loss: 4.1078 03/03 15:09:43 - mmengine - INFO - Epoch(train) [1][3400/5005] lr: 1.0000e-01 eta: 2 days, 16:19:19 time: 0.4244 data_time: 0.0018 loss: 4.2373 03/03 15:10:26 - mmengine - INFO - Epoch(train) [1][3500/5005] lr: 1.0000e-01 eta: 2 days, 16:08:23 time: 0.4269 data_time: 0.0018 loss: 4.4201 03/03 15:11:08 - mmengine - INFO - Epoch(train) [1][3600/5005] lr: 1.0000e-01 eta: 2 days, 15:57:59 time: 0.4185 data_time: 0.0019 loss: 4.1044 03/03 15:11:51 - mmengine - INFO - Epoch(train) [1][3700/5005] lr: 1.0000e-01 eta: 2 days, 15:48:36 time: 0.4315 data_time: 0.0017 loss: 3.9503 03/03 15:12:33 - mmengine - INFO - Epoch(train) [1][3800/5005] lr: 1.0000e-01 eta: 2 days, 15:39:00 time: 0.4223 data_time: 0.0019 loss: 4.0326 03/03 15:13:15 - mmengine - INFO - Epoch(train) [1][3900/5005] lr: 1.0000e-01 eta: 2 days, 15:30:36 time: 0.4234 data_time: 0.0017 loss: 3.7791 03/03 15:13:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:13:58 - mmengine - INFO - Epoch(train) [1][4000/5005] lr: 1.0000e-01 eta: 2 days, 15:22:12 time: 0.4186 data_time: 0.0018 loss: 3.7510 03/03 15:14:40 - mmengine - INFO - Epoch(train) [1][4100/5005] lr: 1.0000e-01 eta: 2 days, 15:14:33 time: 0.4211 data_time: 0.0018 loss: 3.9630 03/03 15:15:23 - mmengine - INFO - Epoch(train) [1][4200/5005] lr: 1.0000e-01 eta: 2 days, 15:07:02 time: 0.4235 data_time: 0.0018 loss: 3.9190 03/03 15:16:05 - mmengine - INFO - Epoch(train) [1][4300/5005] lr: 1.0000e-01 eta: 2 days, 14:59:17 time: 0.4212 data_time: 0.0018 loss: 3.6824 03/03 15:16:47 - mmengine - INFO - Epoch(train) [1][4400/5005] lr: 1.0000e-01 eta: 2 days, 14:52:10 time: 0.4215 data_time: 0.0017 loss: 4.0621 03/03 15:17:29 - mmengine - INFO - Epoch(train) [1][4500/5005] lr: 1.0000e-01 eta: 2 days, 14:45:16 time: 0.4228 data_time: 0.0018 loss: 3.7077 03/03 15:18:12 - mmengine - INFO - Epoch(train) [1][4600/5005] lr: 1.0000e-01 eta: 2 days, 14:39:01 time: 0.4230 data_time: 0.0019 loss: 3.7572 03/03 15:18:54 - mmengine - INFO - Epoch(train) [1][4700/5005] lr: 1.0000e-01 eta: 2 days, 14:32:24 time: 0.4195 data_time: 0.0019 loss: 3.7911 03/03 15:19:36 - mmengine - INFO - Epoch(train) [1][4800/5005] lr: 1.0000e-01 eta: 2 days, 14:26:02 time: 0.4215 data_time: 0.0018 loss: 3.8043 03/03 15:20:18 - mmengine - INFO - Epoch(train) [1][4900/5005] lr: 1.0000e-01 eta: 2 days, 14:20:06 time: 0.4254 data_time: 0.0020 loss: 3.5929 03/03 15:21:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:21:01 - mmengine - INFO - Epoch(train) [1][5000/5005] lr: 1.0000e-01 eta: 2 days, 14:14:23 time: 0.4266 data_time: 0.0015 loss: 3.9011 03/03 15:23:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:23:11 - mmengine - INFO - Saving checkpoint at 1 epochs 03/03 15:23:40 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:00:26 time: 0.0630 data_time: 0.0012 03/03 15:24:51 - mmengine - INFO - Epoch(val) [1][196/196] accuracy/top1: 25.5480 accuracy/top5: 50.9140 03/03 15:25:36 - mmengine - INFO - Epoch(train) [2][ 100/5005] lr: 1.0000e-01 eta: 2 days, 17:39:10 time: 0.4247 data_time: 0.0018 loss: 3.6048 03/03 15:26:19 - mmengine - INFO - Epoch(train) [2][ 200/5005] lr: 1.0000e-01 eta: 2 days, 17:30:16 time: 0.4188 data_time: 0.0021 loss: 3.3873 03/03 15:27:01 - mmengine - INFO - Epoch(train) [2][ 300/5005] lr: 1.0000e-01 eta: 2 days, 17:21:36 time: 0.4255 data_time: 0.0020 loss: 3.6449 03/03 15:27:44 - mmengine - INFO - Epoch(train) [2][ 400/5005] lr: 1.0000e-01 eta: 2 days, 17:13:02 time: 0.4185 data_time: 0.0019 loss: 3.6342 03/03 15:28:26 - mmengine - INFO - Epoch(train) [2][ 500/5005] lr: 1.0000e-01 eta: 2 days, 17:04:46 time: 0.4259 data_time: 0.0018 loss: 3.4518 03/03 15:29:09 - mmengine - INFO - Epoch(train) [2][ 600/5005] lr: 1.0000e-01 eta: 2 days, 16:56:43 time: 0.4229 data_time: 0.0018 loss: 3.5849 03/03 15:29:51 - mmengine - INFO - Epoch(train) [2][ 700/5005] lr: 1.0000e-01 eta: 2 days, 16:48:53 time: 0.4258 data_time: 0.0019 loss: 3.3169 03/03 15:30:34 - mmengine - INFO - Epoch(train) [2][ 800/5005] lr: 1.0000e-01 eta: 2 days, 16:41:27 time: 0.4270 data_time: 0.0019 loss: 3.6877 03/03 15:31:16 - mmengine - INFO - Epoch(train) [2][ 900/5005] lr: 1.0000e-01 eta: 2 days, 16:33:59 time: 0.4228 data_time: 0.0018 loss: 3.6190 03/03 15:31:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:31:58 - mmengine - INFO - Epoch(train) [2][1000/5005] lr: 1.0000e-01 eta: 2 days, 16:27:04 time: 0.4281 data_time: 0.0018 loss: 3.4646 03/03 15:32:41 - mmengine - INFO - Epoch(train) [2][1100/5005] lr: 1.0000e-01 eta: 2 days, 16:20:11 time: 0.4213 data_time: 0.0018 loss: 3.3902 03/03 15:33:24 - mmengine - INFO - Epoch(train) [2][1200/5005] lr: 1.0000e-01 eta: 2 days, 16:13:56 time: 0.4252 data_time: 0.0018 loss: 3.5371 03/03 15:34:06 - mmengine - INFO - Epoch(train) [2][1300/5005] lr: 1.0000e-01 eta: 2 days, 16:07:14 time: 0.4219 data_time: 0.0019 loss: 3.5494 03/03 15:34:48 - mmengine - INFO - Epoch(train) [2][1400/5005] lr: 1.0000e-01 eta: 2 days, 16:01:08 time: 0.4248 data_time: 0.0018 loss: 3.5200 03/03 15:35:31 - mmengine - INFO - Epoch(train) [2][1500/5005] lr: 1.0000e-01 eta: 2 days, 15:54:52 time: 0.4205 data_time: 0.0020 loss: 3.6630 03/03 15:36:13 - mmengine - INFO - Epoch(train) [2][1600/5005] lr: 1.0000e-01 eta: 2 days, 15:48:51 time: 0.4248 data_time: 0.0019 loss: 3.3669 03/03 15:36:55 - mmengine - INFO - Epoch(train) [2][1700/5005] lr: 1.0000e-01 eta: 2 days, 15:43:00 time: 0.4219 data_time: 0.0018 loss: 3.1818 03/03 15:37:38 - mmengine - INFO - Epoch(train) [2][1800/5005] lr: 1.0000e-01 eta: 2 days, 15:37:35 time: 0.4283 data_time: 0.0018 loss: 3.3612 03/03 15:38:20 - mmengine - INFO - Epoch(train) [2][1900/5005] lr: 1.0000e-01 eta: 2 days, 15:31:59 time: 0.4237 data_time: 0.0019 loss: 3.3290 03/03 15:39:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:39:03 - mmengine - INFO - Epoch(train) [2][2000/5005] lr: 1.0000e-01 eta: 2 days, 15:26:27 time: 0.4183 data_time: 0.0019 loss: 3.2689 03/03 15:39:45 - mmengine - INFO - Epoch(train) [2][2100/5005] lr: 1.0000e-01 eta: 2 days, 15:21:12 time: 0.4180 data_time: 0.0018 loss: 3.4908 03/03 15:40:27 - mmengine - INFO - Epoch(train) [2][2200/5005] lr: 1.0000e-01 eta: 2 days, 15:16:04 time: 0.4207 data_time: 0.0018 loss: 3.2686 03/03 15:41:10 - mmengine - INFO - Epoch(train) [2][2300/5005] lr: 1.0000e-01 eta: 2 days, 15:10:59 time: 0.4225 data_time: 0.0018 loss: 3.1249 03/03 15:41:52 - mmengine - INFO - Epoch(train) [2][2400/5005] lr: 1.0000e-01 eta: 2 days, 15:06:06 time: 0.4214 data_time: 0.0018 loss: 3.2101 03/03 15:42:35 - mmengine - INFO - Epoch(train) [2][2500/5005] lr: 1.0000e-01 eta: 2 days, 15:01:13 time: 0.4237 data_time: 0.0018 loss: 3.2164 03/03 15:43:17 - mmengine - INFO - Epoch(train) [2][2600/5005] lr: 1.0000e-01 eta: 2 days, 14:56:35 time: 0.4202 data_time: 0.0019 loss: 3.3891 03/03 15:43:59 - mmengine - INFO - Epoch(train) [2][2700/5005] lr: 1.0000e-01 eta: 2 days, 14:51:56 time: 0.4349 data_time: 0.0020 loss: 3.3482 03/03 15:44:42 - mmengine - INFO - Epoch(train) [2][2800/5005] lr: 1.0000e-01 eta: 2 days, 14:47:30 time: 0.4244 data_time: 0.0018 loss: 3.0877 03/03 15:45:24 - mmengine - INFO - Epoch(train) [2][2900/5005] lr: 1.0000e-01 eta: 2 days, 14:43:06 time: 0.4278 data_time: 0.0018 loss: 3.0932 03/03 15:46:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:46:07 - mmengine - INFO - Epoch(train) [2][3000/5005] lr: 1.0000e-01 eta: 2 days, 14:38:57 time: 0.4248 data_time: 0.0020 loss: 3.2063 03/03 15:46:49 - mmengine - INFO - Epoch(train) [2][3100/5005] lr: 1.0000e-01 eta: 2 days, 14:34:40 time: 0.4250 data_time: 0.0019 loss: 3.1378 03/03 15:47:31 - mmengine - INFO - Epoch(train) [2][3200/5005] lr: 1.0000e-01 eta: 2 days, 14:30:30 time: 0.4194 data_time: 0.0018 loss: 3.0986 03/03 15:48:14 - mmengine - INFO - Epoch(train) [2][3300/5005] lr: 1.0000e-01 eta: 2 days, 14:26:25 time: 0.4193 data_time: 0.0018 loss: 2.8208 03/03 15:48:56 - mmengine - INFO - Epoch(train) [2][3400/5005] lr: 1.0000e-01 eta: 2 days, 14:22:14 time: 0.4199 data_time: 0.0018 loss: 3.0129 03/03 15:49:38 - mmengine - INFO - Epoch(train) [2][3500/5005] lr: 1.0000e-01 eta: 2 days, 14:18:12 time: 0.4235 data_time: 0.0019 loss: 3.2438 03/03 15:50:20 - mmengine - INFO - Epoch(train) [2][3600/5005] lr: 1.0000e-01 eta: 2 days, 14:14:21 time: 0.4265 data_time: 0.0019 loss: 2.7548 03/03 15:51:03 - mmengine - INFO - Epoch(train) [2][3700/5005] lr: 1.0000e-01 eta: 2 days, 14:10:45 time: 0.4253 data_time: 0.0017 loss: 3.0796 03/03 15:51:46 - mmengine - INFO - Epoch(train) [2][3800/5005] lr: 1.0000e-01 eta: 2 days, 14:07:17 time: 0.4337 data_time: 0.0019 loss: 2.8454 03/03 15:52:28 - mmengine - INFO - Epoch(train) [2][3900/5005] lr: 1.0000e-01 eta: 2 days, 14:03:39 time: 0.4274 data_time: 0.0020 loss: 3.2908 03/03 15:53:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 15:53:10 - mmengine - INFO - Epoch(train) [2][4000/5005] lr: 1.0000e-01 eta: 2 days, 14:00:03 time: 0.4267 data_time: 0.0018 loss: 2.7753 03/03 15:53:53 - mmengine - INFO - Epoch(train) [2][4100/5005] lr: 1.0000e-01 eta: 2 days, 13:56:33 time: 0.4218 data_time: 0.0018 loss: 3.0116 03/03 15:54:35 - mmengine - INFO - Epoch(train) [2][4200/5005] lr: 1.0000e-01 eta: 2 days, 13:53:05 time: 0.4251 data_time: 0.0018 loss: 2.9287 03/03 15:55:17 - mmengine - INFO - Epoch(train) [2][4300/5005] lr: 1.0000e-01 eta: 2 days, 13:49:34 time: 0.4240 data_time: 0.0019 loss: 2.9767 03/03 15:56:00 - mmengine - INFO - Epoch(train) [2][4400/5005] lr: 1.0000e-01 eta: 2 days, 13:46:27 time: 0.4287 data_time: 0.0018 loss: 3.2247 03/03 15:56:42 - mmengine - INFO - Epoch(train) [2][4500/5005] lr: 1.0000e-01 eta: 2 days, 13:43:16 time: 0.4322 data_time: 0.0018 loss: 2.9967 03/03 15:57:25 - mmengine - INFO - Epoch(train) [2][4600/5005] lr: 1.0000e-01 eta: 2 days, 13:40:03 time: 0.4230 data_time: 0.0018 loss: 3.0405 03/03 15:58:07 - mmengine - INFO - Epoch(train) [2][4700/5005] lr: 1.0000e-01 eta: 2 days, 13:37:00 time: 0.4228 data_time: 0.0018 loss: 2.9363 03/03 15:58:50 - mmengine - INFO - Epoch(train) [2][4800/5005] lr: 1.0000e-01 eta: 2 days, 13:33:58 time: 0.4212 data_time: 0.0019 loss: 3.0111 03/03 15:59:32 - mmengine - INFO - Epoch(train) [2][4900/5005] lr: 1.0000e-01 eta: 2 days, 13:30:57 time: 0.4197 data_time: 0.0017 loss: 2.8319 03/03 16:00:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:00:14 - mmengine - INFO - Epoch(train) [2][5000/5005] lr: 1.0000e-01 eta: 2 days, 13:27:52 time: 0.4186 data_time: 0.0017 loss: 2.6089 03/03 16:00:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:00:17 - mmengine - INFO - Saving checkpoint at 2 epochs 03/03 16:00:29 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:00:08 time: 0.0310 data_time: 0.0005 03/03 16:00:42 - mmengine - INFO - Epoch(val) [2][196/196] accuracy/top1: 39.3520 accuracy/top5: 65.8760 03/03 16:01:28 - mmengine - INFO - Epoch(train) [3][ 100/5005] lr: 1.0000e-01 eta: 2 days, 13:27:29 time: 0.4239 data_time: 0.0023 loss: 2.8635 03/03 16:02:11 - mmengine - INFO - Epoch(train) [3][ 200/5005] lr: 1.0000e-01 eta: 2 days, 13:24:41 time: 0.4287 data_time: 0.0020 loss: 3.0096 03/03 16:02:53 - mmengine - INFO - Epoch(train) [3][ 300/5005] lr: 1.0000e-01 eta: 2 days, 13:21:45 time: 0.4205 data_time: 0.0019 loss: 3.0420 03/03 16:03:36 - mmengine - INFO - Epoch(train) [3][ 400/5005] lr: 1.0000e-01 eta: 2 days, 13:18:58 time: 0.4287 data_time: 0.0021 loss: 2.9978 03/03 16:04:18 - mmengine - INFO - Epoch(train) [3][ 500/5005] lr: 1.0000e-01 eta: 2 days, 13:16:19 time: 0.4345 data_time: 0.0024 loss: 2.8792 03/03 16:05:01 - mmengine - INFO - Epoch(train) [3][ 600/5005] lr: 1.0000e-01 eta: 2 days, 13:13:41 time: 0.4315 data_time: 0.0019 loss: 2.7659 03/03 16:05:43 - mmengine - INFO - Epoch(train) [3][ 700/5005] lr: 1.0000e-01 eta: 2 days, 13:11:07 time: 0.4297 data_time: 0.0020 loss: 3.0451 03/03 16:06:26 - mmengine - INFO - Epoch(train) [3][ 800/5005] lr: 1.0000e-01 eta: 2 days, 13:08:28 time: 0.4216 data_time: 0.0019 loss: 2.9302 03/03 16:07:08 - mmengine - INFO - Epoch(train) [3][ 900/5005] lr: 1.0000e-01 eta: 2 days, 13:05:51 time: 0.4276 data_time: 0.0019 loss: 2.7062 03/03 16:07:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:07:51 - mmengine - INFO - Epoch(train) [3][1000/5005] lr: 1.0000e-01 eta: 2 days, 13:03:19 time: 0.4212 data_time: 0.0020 loss: 2.7453 03/03 16:08:33 - mmengine - INFO - Epoch(train) [3][1100/5005] lr: 1.0000e-01 eta: 2 days, 13:00:43 time: 0.4220 data_time: 0.0019 loss: 2.9321 03/03 16:09:16 - mmengine - INFO - Epoch(train) [3][1200/5005] lr: 1.0000e-01 eta: 2 days, 12:58:18 time: 0.4259 data_time: 0.0021 loss: 2.9833 03/03 16:09:58 - mmengine - INFO - Epoch(train) [3][1300/5005] lr: 1.0000e-01 eta: 2 days, 12:55:50 time: 0.4204 data_time: 0.0018 loss: 2.5969 03/03 16:10:41 - mmengine - INFO - Epoch(train) [3][1400/5005] lr: 1.0000e-01 eta: 2 days, 12:53:26 time: 0.4202 data_time: 0.0019 loss: 2.8386 03/03 16:11:23 - mmengine - INFO - Epoch(train) [3][1500/5005] lr: 1.0000e-01 eta: 2 days, 12:51:05 time: 0.4297 data_time: 0.0019 loss: 2.8079 03/03 16:12:06 - mmengine - INFO - Epoch(train) [3][1600/5005] lr: 1.0000e-01 eta: 2 days, 12:48:45 time: 0.4319 data_time: 0.0019 loss: 2.6584 03/03 16:12:49 - mmengine - INFO - Epoch(train) [3][1700/5005] lr: 1.0000e-01 eta: 2 days, 12:46:29 time: 0.4244 data_time: 0.0019 loss: 2.9550 03/03 16:13:31 - mmengine - INFO - Epoch(train) [3][1800/5005] lr: 1.0000e-01 eta: 2 days, 12:44:10 time: 0.4228 data_time: 0.0018 loss: 2.6682 03/03 16:14:14 - mmengine - INFO - Epoch(train) [3][1900/5005] lr: 1.0000e-01 eta: 2 days, 12:41:58 time: 0.4239 data_time: 0.0019 loss: 2.9338 03/03 16:14:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:14:56 - mmengine - INFO - Epoch(train) [3][2000/5005] lr: 1.0000e-01 eta: 2 days, 12:39:38 time: 0.4246 data_time: 0.0019 loss: 2.7658 03/03 16:15:39 - mmengine - INFO - Epoch(train) [3][2100/5005] lr: 1.0000e-01 eta: 2 days, 12:37:29 time: 0.4251 data_time: 0.0018 loss: 2.7717 03/03 16:16:21 - mmengine - INFO - Epoch(train) [3][2200/5005] lr: 1.0000e-01 eta: 2 days, 12:35:11 time: 0.4222 data_time: 0.0018 loss: 2.9090 03/03 16:17:03 - mmengine - INFO - Epoch(train) [3][2300/5005] lr: 1.0000e-01 eta: 2 days, 12:32:59 time: 0.4254 data_time: 0.0018 loss: 2.8198 03/03 16:17:46 - mmengine - INFO - Epoch(train) [3][2400/5005] lr: 1.0000e-01 eta: 2 days, 12:30:44 time: 0.4232 data_time: 0.0019 loss: 2.6879 03/03 16:18:28 - mmengine - INFO - Epoch(train) [3][2500/5005] lr: 1.0000e-01 eta: 2 days, 12:28:36 time: 0.4216 data_time: 0.0019 loss: 2.6964 03/03 16:19:11 - mmengine - INFO - Epoch(train) [3][2600/5005] lr: 1.0000e-01 eta: 2 days, 12:26:33 time: 0.4340 data_time: 0.0019 loss: 2.8518 03/03 16:19:53 - mmengine - INFO - Epoch(train) [3][2700/5005] lr: 1.0000e-01 eta: 2 days, 12:24:25 time: 0.4224 data_time: 0.0019 loss: 2.8406 03/03 16:20:36 - mmengine - INFO - Epoch(train) [3][2800/5005] lr: 1.0000e-01 eta: 2 days, 12:22:27 time: 0.4314 data_time: 0.0019 loss: 2.5132 03/03 16:21:19 - mmengine - INFO - Epoch(train) [3][2900/5005] lr: 1.0000e-01 eta: 2 days, 12:20:23 time: 0.4225 data_time: 0.0020 loss: 2.7580 03/03 16:21:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:22:01 - mmengine - INFO - Epoch(train) [3][3000/5005] lr: 1.0000e-01 eta: 2 days, 12:18:16 time: 0.4258 data_time: 0.0020 loss: 2.4654 03/03 16:22:43 - mmengine - INFO - Epoch(train) [3][3100/5005] lr: 1.0000e-01 eta: 2 days, 12:16:20 time: 0.4251 data_time: 0.0020 loss: 2.5339 03/03 16:23:26 - mmengine - INFO - Epoch(train) [3][3200/5005] lr: 1.0000e-01 eta: 2 days, 12:14:23 time: 0.4244 data_time: 0.0018 loss: 2.9781 03/03 16:24:09 - mmengine - INFO - Epoch(train) [3][3300/5005] lr: 1.0000e-01 eta: 2 days, 12:12:39 time: 0.4288 data_time: 0.0019 loss: 2.7794 03/03 16:24:51 - mmengine - INFO - Epoch(train) [3][3400/5005] lr: 1.0000e-01 eta: 2 days, 12:10:38 time: 0.4218 data_time: 0.0019 loss: 2.6773 03/03 16:25:34 - mmengine - INFO - Epoch(train) [3][3500/5005] lr: 1.0000e-01 eta: 2 days, 12:08:42 time: 0.4218 data_time: 0.0020 loss: 2.9271 03/03 16:26:16 - mmengine - INFO - Epoch(train) [3][3600/5005] lr: 1.0000e-01 eta: 2 days, 12:06:54 time: 0.4284 data_time: 0.0018 loss: 2.5605 03/03 16:26:59 - mmengine - INFO - Epoch(train) [3][3700/5005] lr: 1.0000e-01 eta: 2 days, 12:05:02 time: 0.4216 data_time: 0.0020 loss: 2.7244 03/03 16:27:42 - mmengine - INFO - Epoch(train) [3][3800/5005] lr: 1.0000e-01 eta: 2 days, 12:03:11 time: 0.4272 data_time: 0.0019 loss: 2.3809 03/03 16:28:24 - mmengine - INFO - Epoch(train) [3][3900/5005] lr: 1.0000e-01 eta: 2 days, 12:01:22 time: 0.4378 data_time: 0.0018 loss: 2.9239 03/03 16:29:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:29:07 - mmengine - INFO - Epoch(train) [3][4000/5005] lr: 1.0000e-01 eta: 2 days, 11:59:36 time: 0.4248 data_time: 0.0020 loss: 2.7921 03/03 16:29:49 - mmengine - INFO - Epoch(train) [3][4100/5005] lr: 1.0000e-01 eta: 2 days, 11:57:46 time: 0.4277 data_time: 0.0019 loss: 2.4685 03/03 16:30:32 - mmengine - INFO - Epoch(train) [3][4200/5005] lr: 1.0000e-01 eta: 2 days, 11:55:53 time: 0.4215 data_time: 0.0019 loss: 2.6691 03/03 16:31:14 - mmengine - INFO - Epoch(train) [3][4300/5005] lr: 1.0000e-01 eta: 2 days, 11:54:10 time: 0.4219 data_time: 0.0019 loss: 2.6281 03/03 16:31:57 - mmengine - INFO - Epoch(train) [3][4400/5005] lr: 1.0000e-01 eta: 2 days, 11:52:33 time: 0.4275 data_time: 0.0019 loss: 2.4282 03/03 16:32:40 - mmengine - INFO - Epoch(train) [3][4500/5005] lr: 1.0000e-01 eta: 2 days, 11:50:51 time: 0.4227 data_time: 0.0018 loss: 2.9340 03/03 16:33:22 - mmengine - INFO - Epoch(train) [3][4600/5005] lr: 1.0000e-01 eta: 2 days, 11:48:56 time: 0.4210 data_time: 0.0019 loss: 2.8067 03/03 16:34:05 - mmengine - INFO - Epoch(train) [3][4700/5005] lr: 1.0000e-01 eta: 2 days, 11:47:25 time: 0.4285 data_time: 0.0019 loss: 2.8716 03/03 16:34:47 - mmengine - INFO - Epoch(train) [3][4800/5005] lr: 1.0000e-01 eta: 2 days, 11:45:37 time: 0.4238 data_time: 0.0019 loss: 2.8536 03/03 16:35:30 - mmengine - INFO - Epoch(train) [3][4900/5005] lr: 1.0000e-01 eta: 2 days, 11:43:58 time: 0.4366 data_time: 0.0019 loss: 2.4168 03/03 16:36:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:36:13 - mmengine - INFO - Epoch(train) [3][5000/5005] lr: 1.0000e-01 eta: 2 days, 11:42:21 time: 0.4254 data_time: 0.0016 loss: 2.7471 03/03 16:36:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:36:15 - mmengine - INFO - Saving checkpoint at 3 epochs 03/03 16:36:27 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:00:09 time: 0.0292 data_time: 0.0006 03/03 16:36:41 - mmengine - INFO - Epoch(val) [3][196/196] accuracy/top1: 45.7560 accuracy/top5: 72.8720 03/03 16:37:27 - mmengine - INFO - Epoch(train) [4][ 100/5005] lr: 1.0000e-01 eta: 2 days, 11:42:26 time: 0.4243 data_time: 0.0025 loss: 2.6262 03/03 16:38:10 - mmengine - INFO - Epoch(train) [4][ 200/5005] lr: 1.0000e-01 eta: 2 days, 11:40:44 time: 0.4247 data_time: 0.0019 loss: 2.5961 03/03 16:38:52 - mmengine - INFO - Epoch(train) [4][ 300/5005] lr: 1.0000e-01 eta: 2 days, 11:39:00 time: 0.4277 data_time: 0.0019 loss: 2.5613 03/03 16:39:35 - mmengine - INFO - Epoch(train) [4][ 400/5005] lr: 1.0000e-01 eta: 2 days, 11:37:24 time: 0.4211 data_time: 0.0019 loss: 2.5136 03/03 16:40:17 - mmengine - INFO - Epoch(train) [4][ 500/5005] lr: 1.0000e-01 eta: 2 days, 11:35:49 time: 0.4234 data_time: 0.0019 loss: 2.4789 03/03 16:41:00 - mmengine - INFO - Epoch(train) [4][ 600/5005] lr: 1.0000e-01 eta: 2 days, 11:34:09 time: 0.4199 data_time: 0.0019 loss: 2.7145 03/03 16:41:42 - mmengine - INFO - Epoch(train) [4][ 700/5005] lr: 1.0000e-01 eta: 2 days, 11:32:25 time: 0.4255 data_time: 0.0019 loss: 2.6525 03/03 16:42:24 - mmengine - INFO - Epoch(train) [4][ 800/5005] lr: 1.0000e-01 eta: 2 days, 11:30:47 time: 0.4236 data_time: 0.0019 loss: 2.7994 03/03 16:43:07 - mmengine - INFO - Epoch(train) [4][ 900/5005] lr: 1.0000e-01 eta: 2 days, 11:29:15 time: 0.4296 data_time: 0.0020 loss: 2.6290 03/03 16:43:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:43:50 - mmengine - INFO - Epoch(train) [4][1000/5005] lr: 1.0000e-01 eta: 2 days, 11:27:49 time: 0.4324 data_time: 0.0018 loss: 2.6226 03/03 16:44:32 - mmengine - INFO - Epoch(train) [4][1100/5005] lr: 1.0000e-01 eta: 2 days, 11:26:13 time: 0.4298 data_time: 0.0019 loss: 2.6035 03/03 16:45:15 - mmengine - INFO - Epoch(train) [4][1200/5005] lr: 1.0000e-01 eta: 2 days, 11:24:42 time: 0.4249 data_time: 0.0019 loss: 2.3218 03/03 16:45:57 - mmengine - INFO - Epoch(train) [4][1300/5005] lr: 1.0000e-01 eta: 2 days, 11:23:06 time: 0.4206 data_time: 0.0018 loss: 2.7892 03/03 16:46:40 - mmengine - INFO - Epoch(train) [4][1400/5005] lr: 1.0000e-01 eta: 2 days, 11:21:33 time: 0.4238 data_time: 0.0019 loss: 2.6049 03/03 16:47:23 - mmengine - INFO - Epoch(train) [4][1500/5005] lr: 1.0000e-01 eta: 2 days, 11:20:10 time: 0.4236 data_time: 0.0020 loss: 2.5915 03/03 16:48:05 - mmengine - INFO - Epoch(train) [4][1600/5005] lr: 1.0000e-01 eta: 2 days, 11:18:38 time: 0.4279 data_time: 0.0019 loss: 2.7020 03/03 16:48:48 - mmengine - INFO - Epoch(train) [4][1700/5005] lr: 1.0000e-01 eta: 2 days, 11:17:10 time: 0.4283 data_time: 0.0019 loss: 2.4218 03/03 16:49:30 - mmengine - INFO - Epoch(train) [4][1800/5005] lr: 1.0000e-01 eta: 2 days, 11:15:35 time: 0.4234 data_time: 0.0020 loss: 2.6110 03/03 16:50:13 - mmengine - INFO - Epoch(train) [4][1900/5005] lr: 1.0000e-01 eta: 2 days, 11:14:11 time: 0.4245 data_time: 0.0018 loss: 2.3016 03/03 16:50:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:50:55 - mmengine - INFO - Epoch(train) [4][2000/5005] lr: 1.0000e-01 eta: 2 days, 11:12:41 time: 0.4264 data_time: 0.0020 loss: 2.4552 03/03 16:51:38 - mmengine - INFO - Epoch(train) [4][2100/5005] lr: 1.0000e-01 eta: 2 days, 11:11:10 time: 0.4308 data_time: 0.0019 loss: 2.7326 03/03 16:52:20 - mmengine - INFO - Epoch(train) [4][2200/5005] lr: 1.0000e-01 eta: 2 days, 11:09:46 time: 0.4241 data_time: 0.0018 loss: 2.5117 03/03 16:53:03 - mmengine - INFO - Epoch(train) [4][2300/5005] lr: 1.0000e-01 eta: 2 days, 11:08:20 time: 0.4297 data_time: 0.0018 loss: 2.4616 03/03 16:53:46 - mmengine - INFO - Epoch(train) [4][2400/5005] lr: 1.0000e-01 eta: 2 days, 11:06:55 time: 0.4212 data_time: 0.0019 loss: 2.5413 03/03 16:54:28 - mmengine - INFO - Epoch(train) [4][2500/5005] lr: 1.0000e-01 eta: 2 days, 11:05:26 time: 0.4218 data_time: 0.0019 loss: 2.3176 03/03 16:55:11 - mmengine - INFO - Epoch(train) [4][2600/5005] lr: 1.0000e-01 eta: 2 days, 11:04:03 time: 0.4339 data_time: 0.0019 loss: 2.6499 03/03 16:55:53 - mmengine - INFO - Epoch(train) [4][2700/5005] lr: 1.0000e-01 eta: 2 days, 11:02:31 time: 0.4248 data_time: 0.0018 loss: 2.5046 03/03 16:56:35 - mmengine - INFO - Epoch(train) [4][2800/5005] lr: 1.0000e-01 eta: 2 days, 11:01:04 time: 0.4227 data_time: 0.0019 loss: 2.5138 03/03 16:57:18 - mmengine - INFO - Epoch(train) [4][2900/5005] lr: 1.0000e-01 eta: 2 days, 10:59:43 time: 0.4242 data_time: 0.0018 loss: 2.4361 03/03 16:57:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 16:58:00 - mmengine - INFO - Epoch(train) [4][3000/5005] lr: 1.0000e-01 eta: 2 days, 10:58:15 time: 0.4282 data_time: 0.0018 loss: 2.6196 03/03 16:58:43 - mmengine - INFO - Epoch(train) [4][3100/5005] lr: 1.0000e-01 eta: 2 days, 10:56:55 time: 0.4223 data_time: 0.0019 loss: 2.4704 03/03 16:59:25 - mmengine - INFO - Epoch(train) [4][3200/5005] lr: 1.0000e-01 eta: 2 days, 10:55:30 time: 0.4264 data_time: 0.0019 loss: 2.4345 03/03 17:00:08 - mmengine - INFO - Epoch(train) [4][3300/5005] lr: 1.0000e-01 eta: 2 days, 10:54:04 time: 0.4245 data_time: 0.0018 loss: 2.5808 03/03 17:00:50 - mmengine - INFO - Epoch(train) [4][3400/5005] lr: 1.0000e-01 eta: 2 days, 10:52:37 time: 0.4203 data_time: 0.0019 loss: 2.5792 03/03 17:01:33 - mmengine - INFO - Epoch(train) [4][3500/5005] lr: 1.0000e-01 eta: 2 days, 10:51:15 time: 0.4266 data_time: 0.0019 loss: 2.7328 03/03 17:02:15 - mmengine - INFO - Epoch(train) [4][3600/5005] lr: 1.0000e-01 eta: 2 days, 10:49:54 time: 0.4212 data_time: 0.0019 loss: 2.5672 03/03 17:02:58 - mmengine - INFO - Epoch(train) [4][3700/5005] lr: 1.0000e-01 eta: 2 days, 10:48:27 time: 0.4287 data_time: 0.0020 loss: 2.4467 03/03 17:03:40 - mmengine - INFO - Epoch(train) [4][3800/5005] lr: 1.0000e-01 eta: 2 days, 10:47:04 time: 0.4183 data_time: 0.0018 loss: 2.5357 03/03 17:04:22 - mmengine - INFO - Epoch(train) [4][3900/5005] lr: 1.0000e-01 eta: 2 days, 10:45:40 time: 0.4207 data_time: 0.0019 loss: 2.2618 03/03 17:04:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:05:05 - mmengine - INFO - Epoch(train) [4][4000/5005] lr: 1.0000e-01 eta: 2 days, 10:44:19 time: 0.4229 data_time: 0.0020 loss: 2.3585 03/03 17:05:47 - mmengine - INFO - Epoch(train) [4][4100/5005] lr: 1.0000e-01 eta: 2 days, 10:42:58 time: 0.4195 data_time: 0.0018 loss: 2.4112 03/03 17:06:30 - mmengine - INFO - Epoch(train) [4][4200/5005] lr: 1.0000e-01 eta: 2 days, 10:41:35 time: 0.4235 data_time: 0.0020 loss: 2.4443 03/03 17:07:12 - mmengine - INFO - Epoch(train) [4][4300/5005] lr: 1.0000e-01 eta: 2 days, 10:40:15 time: 0.4219 data_time: 0.0019 loss: 2.5871 03/03 17:07:55 - mmengine - INFO - Epoch(train) [4][4400/5005] lr: 1.0000e-01 eta: 2 days, 10:38:56 time: 0.4230 data_time: 0.0018 loss: 2.4754 03/03 17:08:37 - mmengine - INFO - Epoch(train) [4][4500/5005] lr: 1.0000e-01 eta: 2 days, 10:37:38 time: 0.4260 data_time: 0.0020 loss: 2.6418 03/03 17:09:20 - mmengine - INFO - Epoch(train) [4][4600/5005] lr: 1.0000e-01 eta: 2 days, 10:36:20 time: 0.4293 data_time: 0.0019 loss: 2.5297 03/03 17:10:02 - mmengine - INFO - Epoch(train) [4][4700/5005] lr: 1.0000e-01 eta: 2 days, 10:35:07 time: 0.4261 data_time: 0.0019 loss: 2.4219 03/03 17:10:45 - mmengine - INFO - Epoch(train) [4][4800/5005] lr: 1.0000e-01 eta: 2 days, 10:33:49 time: 0.4294 data_time: 0.0020 loss: 2.3205 03/03 17:11:27 - mmengine - INFO - Epoch(train) [4][4900/5005] lr: 1.0000e-01 eta: 2 days, 10:32:32 time: 0.4261 data_time: 0.0019 loss: 2.4140 03/03 17:12:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:12:10 - mmengine - INFO - Epoch(train) [4][5000/5005] lr: 1.0000e-01 eta: 2 days, 10:31:15 time: 0.4220 data_time: 0.0018 loss: 2.7919 03/03 17:12:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:12:13 - mmengine - INFO - Saving checkpoint at 4 epochs 03/03 17:12:24 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:00:09 time: 0.0289 data_time: 0.0005 03/03 17:12:39 - mmengine - INFO - Epoch(val) [4][196/196] accuracy/top1: 48.0260 accuracy/top5: 73.9600 03/03 17:13:24 - mmengine - INFO - Epoch(train) [5][ 100/5005] lr: 1.0000e-01 eta: 2 days, 10:30:59 time: 0.4282 data_time: 0.0019 loss: 2.3223 03/03 17:14:07 - mmengine - INFO - Epoch(train) [5][ 200/5005] lr: 1.0000e-01 eta: 2 days, 10:29:46 time: 0.4240 data_time: 0.0019 loss: 2.4168 03/03 17:14:49 - mmengine - INFO - Epoch(train) [5][ 300/5005] lr: 1.0000e-01 eta: 2 days, 10:28:23 time: 0.4202 data_time: 0.0022 loss: 2.3710 03/03 17:15:31 - mmengine - INFO - Epoch(train) [5][ 400/5005] lr: 1.0000e-01 eta: 2 days, 10:27:07 time: 0.4267 data_time: 0.0019 loss: 2.4966 03/03 17:16:14 - mmengine - INFO - Epoch(train) [5][ 500/5005] lr: 1.0000e-01 eta: 2 days, 10:25:48 time: 0.4235 data_time: 0.0018 loss: 2.6528 03/03 17:16:56 - mmengine - INFO - Epoch(train) [5][ 600/5005] lr: 1.0000e-01 eta: 2 days, 10:24:34 time: 0.4238 data_time: 0.0018 loss: 2.4780 03/03 17:17:38 - mmengine - INFO - Epoch(train) [5][ 700/5005] lr: 1.0000e-01 eta: 2 days, 10:23:17 time: 0.4287 data_time: 0.0019 loss: 2.2168 03/03 17:18:21 - mmengine - INFO - Epoch(train) [5][ 800/5005] lr: 1.0000e-01 eta: 2 days, 10:22:02 time: 0.4257 data_time: 0.0019 loss: 2.4941 03/03 17:19:03 - mmengine - INFO - Epoch(train) [5][ 900/5005] lr: 1.0000e-01 eta: 2 days, 10:20:42 time: 0.4177 data_time: 0.0018 loss: 2.5836 03/03 17:19:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:19:46 - mmengine - INFO - Epoch(train) [5][1000/5005] lr: 1.0000e-01 eta: 2 days, 10:19:28 time: 0.4283 data_time: 0.0020 loss: 2.2193 03/03 17:20:28 - mmengine - INFO - Epoch(train) [5][1100/5005] lr: 1.0000e-01 eta: 2 days, 10:18:12 time: 0.4253 data_time: 0.0021 loss: 2.5338 03/03 17:21:11 - mmengine - INFO - Epoch(train) [5][1200/5005] lr: 1.0000e-01 eta: 2 days, 10:16:58 time: 0.4207 data_time: 0.0019 loss: 2.2157 03/03 17:21:53 - mmengine - INFO - Epoch(train) [5][1300/5005] lr: 1.0000e-01 eta: 2 days, 10:15:45 time: 0.4307 data_time: 0.0019 loss: 2.1972 03/03 17:22:35 - mmengine - INFO - Epoch(train) [5][1400/5005] lr: 1.0000e-01 eta: 2 days, 10:14:31 time: 0.4289 data_time: 0.0018 loss: 2.3158 03/03 17:23:18 - mmengine - INFO - Epoch(train) [5][1500/5005] lr: 1.0000e-01 eta: 2 days, 10:13:18 time: 0.4238 data_time: 0.0019 loss: 2.2189 03/03 17:24:01 - mmengine - INFO - Epoch(train) [5][1600/5005] lr: 1.0000e-01 eta: 2 days, 10:12:13 time: 0.4307 data_time: 0.0018 loss: 2.8118 03/03 17:24:43 - mmengine - INFO - Epoch(train) [5][1700/5005] lr: 1.0000e-01 eta: 2 days, 10:11:01 time: 0.4218 data_time: 0.0019 loss: 2.2921 03/03 17:25:26 - mmengine - INFO - Epoch(train) [5][1800/5005] lr: 1.0000e-01 eta: 2 days, 10:09:54 time: 0.4192 data_time: 0.0019 loss: 2.3816 03/03 17:26:08 - mmengine - INFO - Epoch(train) [5][1900/5005] lr: 1.0000e-01 eta: 2 days, 10:08:40 time: 0.4265 data_time: 0.0019 loss: 2.6405 03/03 17:26:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:26:51 - mmengine - INFO - Epoch(train) [5][2000/5005] lr: 1.0000e-01 eta: 2 days, 10:07:25 time: 0.4203 data_time: 0.0019 loss: 2.3975 03/03 17:27:33 - mmengine - INFO - Epoch(train) [5][2100/5005] lr: 1.0000e-01 eta: 2 days, 10:06:14 time: 0.4308 data_time: 0.0019 loss: 2.5098 03/03 17:28:16 - mmengine - INFO - Epoch(train) [5][2200/5005] lr: 1.0000e-01 eta: 2 days, 10:05:06 time: 0.4254 data_time: 0.0019 loss: 2.5175 03/03 17:28:58 - mmengine - INFO - Epoch(train) [5][2300/5005] lr: 1.0000e-01 eta: 2 days, 10:03:56 time: 0.4235 data_time: 0.0020 loss: 2.3815 03/03 17:29:41 - mmengine - INFO - Epoch(train) [5][2400/5005] lr: 1.0000e-01 eta: 2 days, 10:02:51 time: 0.4237 data_time: 0.0020 loss: 2.4192 03/03 17:30:24 - mmengine - INFO - Epoch(train) [5][2500/5005] lr: 1.0000e-01 eta: 2 days, 10:01:45 time: 0.4263 data_time: 0.0019 loss: 2.3512 03/03 17:31:06 - mmengine - INFO - Epoch(train) [5][2600/5005] lr: 1.0000e-01 eta: 2 days, 10:00:39 time: 0.4217 data_time: 0.0019 loss: 2.5057 03/03 17:31:49 - mmengine - INFO - Epoch(train) [5][2700/5005] lr: 1.0000e-01 eta: 2 days, 9:59:34 time: 0.4280 data_time: 0.0019 loss: 2.5746 03/03 17:32:32 - mmengine - INFO - Epoch(train) [5][2800/5005] lr: 1.0000e-01 eta: 2 days, 9:58:29 time: 0.4235 data_time: 0.0019 loss: 2.3468 03/03 17:33:14 - mmengine - INFO - Epoch(train) [5][2900/5005] lr: 1.0000e-01 eta: 2 days, 9:57:24 time: 0.4395 data_time: 0.0019 loss: 2.2811 03/03 17:33:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:33:57 - mmengine - INFO - Epoch(train) [5][3000/5005] lr: 1.0000e-01 eta: 2 days, 9:56:16 time: 0.4234 data_time: 0.0019 loss: 2.4637 03/03 17:34:39 - mmengine - INFO - Epoch(train) [5][3100/5005] lr: 1.0000e-01 eta: 2 days, 9:55:12 time: 0.4339 data_time: 0.0018 loss: 2.2655 03/03 17:35:22 - mmengine - INFO - Epoch(train) [5][3200/5005] lr: 1.0000e-01 eta: 2 days, 9:53:58 time: 0.4233 data_time: 0.0020 loss: 2.3042 03/03 17:36:04 - mmengine - INFO - Epoch(train) [5][3300/5005] lr: 1.0000e-01 eta: 2 days, 9:52:48 time: 0.4224 data_time: 0.0020 loss: 2.3718 03/03 17:36:47 - mmengine - INFO - Epoch(train) [5][3400/5005] lr: 1.0000e-01 eta: 2 days, 9:51:44 time: 0.4371 data_time: 0.0019 loss: 2.2198 03/03 17:37:29 - mmengine - INFO - Epoch(train) [5][3500/5005] lr: 1.0000e-01 eta: 2 days, 9:50:35 time: 0.4210 data_time: 0.0018 loss: 2.4982 03/03 17:38:12 - mmengine - INFO - Epoch(train) [5][3600/5005] lr: 1.0000e-01 eta: 2 days, 9:49:29 time: 0.4227 data_time: 0.0019 loss: 2.4108 03/03 17:38:54 - mmengine - INFO - Epoch(train) [5][3700/5005] lr: 1.0000e-01 eta: 2 days, 9:48:21 time: 0.4307 data_time: 0.0019 loss: 2.2482 03/03 17:39:37 - mmengine - INFO - Epoch(train) [5][3800/5005] lr: 1.0000e-01 eta: 2 days, 9:47:18 time: 0.4252 data_time: 0.0018 loss: 2.2517 03/03 17:40:19 - mmengine - INFO - Epoch(train) [5][3900/5005] lr: 1.0000e-01 eta: 2 days, 9:46:12 time: 0.4250 data_time: 0.0020 loss: 2.4051 03/03 17:40:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:41:02 - mmengine - INFO - Epoch(train) [5][4000/5005] lr: 1.0000e-01 eta: 2 days, 9:45:05 time: 0.4249 data_time: 0.0019 loss: 2.2944 03/03 17:41:44 - mmengine - INFO - Epoch(train) [5][4100/5005] lr: 1.0000e-01 eta: 2 days, 9:44:01 time: 0.4271 data_time: 0.0018 loss: 2.5299 03/03 17:42:27 - mmengine - INFO - Epoch(train) [5][4200/5005] lr: 1.0000e-01 eta: 2 days, 9:42:50 time: 0.4216 data_time: 0.0019 loss: 2.3633 03/03 17:43:09 - mmengine - INFO - Epoch(train) [5][4300/5005] lr: 1.0000e-01 eta: 2 days, 9:41:45 time: 0.4257 data_time: 0.0018 loss: 2.5143 03/03 17:43:52 - mmengine - INFO - Epoch(train) [5][4400/5005] lr: 1.0000e-01 eta: 2 days, 9:40:38 time: 0.4223 data_time: 0.0019 loss: 2.3185 03/03 17:44:34 - mmengine - INFO - Epoch(train) [5][4500/5005] lr: 1.0000e-01 eta: 2 days, 9:39:31 time: 0.4246 data_time: 0.0019 loss: 2.3811 03/03 17:45:17 - mmengine - INFO - Epoch(train) [5][4600/5005] lr: 1.0000e-01 eta: 2 days, 9:38:26 time: 0.4289 data_time: 0.0019 loss: 2.3409 03/03 17:45:59 - mmengine - INFO - Epoch(train) [5][4700/5005] lr: 1.0000e-01 eta: 2 days, 9:37:21 time: 0.4221 data_time: 0.0020 loss: 2.3978 03/03 17:46:42 - mmengine - INFO - Epoch(train) [5][4800/5005] lr: 1.0000e-01 eta: 2 days, 9:36:16 time: 0.4458 data_time: 0.0020 loss: 2.1846 03/03 17:47:24 - mmengine - INFO - Epoch(train) [5][4900/5005] lr: 1.0000e-01 eta: 2 days, 9:35:08 time: 0.4179 data_time: 0.0019 loss: 2.3953 03/03 17:47:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:48:06 - mmengine - INFO - Epoch(train) [5][5000/5005] lr: 1.0000e-01 eta: 2 days, 9:34:00 time: 0.4203 data_time: 0.0018 loss: 2.0949 03/03 17:48:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:48:09 - mmengine - INFO - Saving checkpoint at 5 epochs 03/03 17:48:21 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:00:09 time: 0.0301 data_time: 0.0006 03/03 17:48:34 - mmengine - INFO - Epoch(val) [5][196/196] accuracy/top1: 49.6300 accuracy/top5: 75.5320 03/03 17:49:20 - mmengine - INFO - Epoch(train) [6][ 100/5005] lr: 1.0000e-01 eta: 2 days, 9:33:46 time: 0.4259 data_time: 0.0020 loss: 2.2220 03/03 17:50:03 - mmengine - INFO - Epoch(train) [6][ 200/5005] lr: 1.0000e-01 eta: 2 days, 9:32:51 time: 0.4456 data_time: 0.0020 loss: 2.0947 03/03 17:50:45 - mmengine - INFO - Epoch(train) [6][ 300/5005] lr: 1.0000e-01 eta: 2 days, 9:31:44 time: 0.4266 data_time: 0.0019 loss: 2.4231 03/03 17:51:27 - mmengine - INFO - Epoch(train) [6][ 400/5005] lr: 1.0000e-01 eta: 2 days, 9:30:37 time: 0.4217 data_time: 0.0020 loss: 2.2417 03/03 17:52:10 - mmengine - INFO - Epoch(train) [6][ 500/5005] lr: 1.0000e-01 eta: 2 days, 9:29:33 time: 0.4239 data_time: 0.0023 loss: 2.3701 03/03 17:52:52 - mmengine - INFO - Epoch(train) [6][ 600/5005] lr: 1.0000e-01 eta: 2 days, 9:28:29 time: 0.4249 data_time: 0.0020 loss: 2.4197 03/03 17:53:35 - mmengine - INFO - Epoch(train) [6][ 700/5005] lr: 1.0000e-01 eta: 2 days, 9:27:28 time: 0.4242 data_time: 0.0019 loss: 2.2501 03/03 17:54:17 - mmengine - INFO - Epoch(train) [6][ 800/5005] lr: 1.0000e-01 eta: 2 days, 9:26:25 time: 0.4277 data_time: 0.0020 loss: 2.4000 03/03 17:55:00 - mmengine - INFO - Epoch(train) [6][ 900/5005] lr: 1.0000e-01 eta: 2 days, 9:25:25 time: 0.4288 data_time: 0.0019 loss: 2.2876 03/03 17:55:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 17:55:42 - mmengine - INFO - Epoch(train) [6][1000/5005] lr: 1.0000e-01 eta: 2 days, 9:24:22 time: 0.4255 data_time: 0.0019 loss: 2.3284 03/03 17:56:25 - mmengine - INFO - Epoch(train) [6][1100/5005] lr: 1.0000e-01 eta: 2 days, 9:23:20 time: 0.4351 data_time: 0.0019 loss: 2.2527 03/03 17:57:07 - mmengine - INFO - Epoch(train) [6][1200/5005] lr: 1.0000e-01 eta: 2 days, 9:22:15 time: 0.4243 data_time: 0.0020 loss: 2.3954 03/03 17:57:50 - mmengine - INFO - Epoch(train) [6][1300/5005] lr: 1.0000e-01 eta: 2 days, 9:21:12 time: 0.4306 data_time: 0.0018 loss: 2.1149 03/03 17:58:32 - mmengine - INFO - Epoch(train) [6][1400/5005] lr: 1.0000e-01 eta: 2 days, 9:20:10 time: 0.4253 data_time: 0.0019 loss: 2.3253 03/03 17:59:15 - mmengine - INFO - Epoch(train) [6][1500/5005] lr: 1.0000e-01 eta: 2 days, 9:19:08 time: 0.4315 data_time: 0.0019 loss: 2.3816 03/03 17:59:58 - mmengine - INFO - Epoch(train) [6][1600/5005] lr: 1.0000e-01 eta: 2 days, 9:18:08 time: 0.4256 data_time: 0.0021 loss: 2.3618 03/03 18:00:40 - mmengine - INFO - Epoch(train) [6][1700/5005] lr: 1.0000e-01 eta: 2 days, 9:17:07 time: 0.4221 data_time: 0.0020 loss: 2.4309 03/03 18:01:23 - mmengine - INFO - Epoch(train) [6][1800/5005] lr: 1.0000e-01 eta: 2 days, 9:16:05 time: 0.4235 data_time: 0.0020 loss: 2.2806 03/03 18:02:05 - mmengine - INFO - Epoch(train) [6][1900/5005] lr: 1.0000e-01 eta: 2 days, 9:15:03 time: 0.4215 data_time: 0.0019 loss: 2.4089 03/03 18:02:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:02:47 - mmengine - INFO - Epoch(train) [6][2000/5005] lr: 1.0000e-01 eta: 2 days, 9:14:00 time: 0.4221 data_time: 0.0020 loss: 2.5141 03/03 18:03:30 - mmengine - INFO - Epoch(train) [6][2100/5005] lr: 1.0000e-01 eta: 2 days, 9:12:57 time: 0.4194 data_time: 0.0019 loss: 2.4444 03/03 18:04:12 - mmengine - INFO - Epoch(train) [6][2200/5005] lr: 1.0000e-01 eta: 2 days, 9:11:55 time: 0.4246 data_time: 0.0020 loss: 2.3951 03/03 18:04:55 - mmengine - INFO - Epoch(train) [6][2300/5005] lr: 1.0000e-01 eta: 2 days, 9:10:56 time: 0.4234 data_time: 0.0020 loss: 2.5497 03/03 18:05:38 - mmengine - INFO - Epoch(train) [6][2400/5005] lr: 1.0000e-01 eta: 2 days, 9:09:56 time: 0.4276 data_time: 0.0019 loss: 2.2777 03/03 18:06:20 - mmengine - INFO - Epoch(train) [6][2500/5005] lr: 1.0000e-01 eta: 2 days, 9:08:53 time: 0.4165 data_time: 0.0019 loss: 2.4775 03/03 18:07:02 - mmengine - INFO - Epoch(train) [6][2600/5005] lr: 1.0000e-01 eta: 2 days, 9:07:53 time: 0.4234 data_time: 0.0019 loss: 2.4016 03/03 18:07:45 - mmengine - INFO - Epoch(train) [6][2700/5005] lr: 1.0000e-01 eta: 2 days, 9:06:53 time: 0.4284 data_time: 0.0019 loss: 1.9889 03/03 18:08:27 - mmengine - INFO - Epoch(train) [6][2800/5005] lr: 1.0000e-01 eta: 2 days, 9:05:51 time: 0.4210 data_time: 0.0021 loss: 2.1381 03/03 18:09:10 - mmengine - INFO - Epoch(train) [6][2900/5005] lr: 1.0000e-01 eta: 2 days, 9:04:49 time: 0.4242 data_time: 0.0019 loss: 2.5329 03/03 18:09:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:09:52 - mmengine - INFO - Epoch(train) [6][3000/5005] lr: 1.0000e-01 eta: 2 days, 9:03:48 time: 0.4225 data_time: 0.0019 loss: 2.3567 03/03 18:10:35 - mmengine - INFO - Epoch(train) [6][3100/5005] lr: 1.0000e-01 eta: 2 days, 9:02:45 time: 0.4300 data_time: 0.0020 loss: 2.1928 03/03 18:11:17 - mmengine - INFO - Epoch(train) [6][3200/5005] lr: 1.0000e-01 eta: 2 days, 9:01:43 time: 0.4240 data_time: 0.0020 loss: 2.4443 03/03 18:11:59 - mmengine - INFO - Epoch(train) [6][3300/5005] lr: 1.0000e-01 eta: 2 days, 9:00:43 time: 0.4272 data_time: 0.0019 loss: 2.2366 03/03 18:12:42 - mmengine - INFO - Epoch(train) [6][3400/5005] lr: 1.0000e-01 eta: 2 days, 8:59:42 time: 0.4246 data_time: 0.0019 loss: 2.2458 03/03 18:13:24 - mmengine - INFO - Epoch(train) [6][3500/5005] lr: 1.0000e-01 eta: 2 days, 8:58:43 time: 0.4227 data_time: 0.0020 loss: 2.2240 03/03 18:14:07 - mmengine - INFO - Epoch(train) [6][3600/5005] lr: 1.0000e-01 eta: 2 days, 8:57:47 time: 0.4363 data_time: 0.0019 loss: 2.2710 03/03 18:14:50 - mmengine - INFO - Epoch(train) [6][3700/5005] lr: 1.0000e-01 eta: 2 days, 8:56:49 time: 0.4243 data_time: 0.0021 loss: 2.5528 03/03 18:15:32 - mmengine - INFO - Epoch(train) [6][3800/5005] lr: 1.0000e-01 eta: 2 days, 8:55:50 time: 0.4264 data_time: 0.0019 loss: 2.3226 03/03 18:16:15 - mmengine - INFO - Epoch(train) [6][3900/5005] lr: 1.0000e-01 eta: 2 days, 8:54:57 time: 0.4226 data_time: 0.0019 loss: 2.4287 03/03 18:16:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:16:58 - mmengine - INFO - Epoch(train) [6][4000/5005] lr: 1.0000e-01 eta: 2 days, 8:53:58 time: 0.4281 data_time: 0.0020 loss: 2.2374 03/03 18:17:40 - mmengine - INFO - Epoch(train) [6][4100/5005] lr: 1.0000e-01 eta: 2 days, 8:52:58 time: 0.4234 data_time: 0.0019 loss: 2.2064 03/03 18:18:23 - mmengine - INFO - Epoch(train) [6][4200/5005] lr: 1.0000e-01 eta: 2 days, 8:52:02 time: 0.4255 data_time: 0.0018 loss: 2.1816 03/03 18:19:05 - mmengine - INFO - Epoch(train) [6][4300/5005] lr: 1.0000e-01 eta: 2 days, 8:51:07 time: 0.4289 data_time: 0.0022 loss: 2.3478 03/03 18:19:48 - mmengine - INFO - Epoch(train) [6][4400/5005] lr: 1.0000e-01 eta: 2 days, 8:50:09 time: 0.4240 data_time: 0.0020 loss: 2.2253 03/03 18:20:30 - mmengine - INFO - Epoch(train) [6][4500/5005] lr: 1.0000e-01 eta: 2 days, 8:49:08 time: 0.4262 data_time: 0.0019 loss: 2.2127 03/03 18:21:13 - mmengine - INFO - Epoch(train) [6][4600/5005] lr: 1.0000e-01 eta: 2 days, 8:48:09 time: 0.4215 data_time: 0.0019 loss: 2.1634 03/03 18:21:55 - mmengine - INFO - Epoch(train) [6][4700/5005] lr: 1.0000e-01 eta: 2 days, 8:47:12 time: 0.4228 data_time: 0.0018 loss: 2.0424 03/03 18:22:38 - mmengine - INFO - Epoch(train) [6][4800/5005] lr: 1.0000e-01 eta: 2 days, 8:46:17 time: 0.4211 data_time: 0.0020 loss: 2.1948 03/03 18:23:20 - mmengine - INFO - Epoch(train) [6][4900/5005] lr: 1.0000e-01 eta: 2 days, 8:45:17 time: 0.4233 data_time: 0.0020 loss: 2.2368 03/03 18:23:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:24:03 - mmengine - INFO - Epoch(train) [6][5000/5005] lr: 1.0000e-01 eta: 2 days, 8:44:17 time: 0.4233 data_time: 0.0018 loss: 2.1705 03/03 18:24:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:24:06 - mmengine - INFO - Saving checkpoint at 6 epochs 03/03 18:24:17 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:00:09 time: 0.0312 data_time: 0.0005 03/03 18:24:31 - mmengine - INFO - Epoch(val) [6][196/196] accuracy/top1: 53.3260 accuracy/top5: 79.1420 03/03 18:25:17 - mmengine - INFO - Epoch(train) [7][ 100/5005] lr: 1.0000e-01 eta: 2 days, 8:44:02 time: 0.4193 data_time: 0.0022 loss: 2.0892 03/03 18:25:59 - mmengine - INFO - Epoch(train) [7][ 200/5005] lr: 1.0000e-01 eta: 2 days, 8:43:06 time: 0.4260 data_time: 0.0019 loss: 2.1872 03/03 18:26:42 - mmengine - INFO - Epoch(train) [7][ 300/5005] lr: 1.0000e-01 eta: 2 days, 8:42:09 time: 0.4234 data_time: 0.0019 loss: 2.4786 03/03 18:27:24 - mmengine - INFO - Epoch(train) [7][ 400/5005] lr: 1.0000e-01 eta: 2 days, 8:41:12 time: 0.4185 data_time: 0.0019 loss: 2.3937 03/03 18:28:07 - mmengine - INFO - Epoch(train) [7][ 500/5005] lr: 1.0000e-01 eta: 2 days, 8:40:16 time: 0.4209 data_time: 0.0019 loss: 2.2017 03/03 18:28:50 - mmengine - INFO - Epoch(train) [7][ 600/5005] lr: 1.0000e-01 eta: 2 days, 8:39:20 time: 0.4286 data_time: 0.0020 loss: 2.2017 03/03 18:29:32 - mmengine - INFO - Epoch(train) [7][ 700/5005] lr: 1.0000e-01 eta: 2 days, 8:38:24 time: 0.4343 data_time: 0.0020 loss: 2.3652 03/03 18:30:15 - mmengine - INFO - Epoch(train) [7][ 800/5005] lr: 1.0000e-01 eta: 2 days, 8:37:32 time: 0.4272 data_time: 0.0020 loss: 2.0071 03/03 18:30:57 - mmengine - INFO - Epoch(train) [7][ 900/5005] lr: 1.0000e-01 eta: 2 days, 8:36:33 time: 0.4281 data_time: 0.0019 loss: 2.1544 03/03 18:31:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:31:40 - mmengine - INFO - Epoch(train) [7][1000/5005] lr: 1.0000e-01 eta: 2 days, 8:35:40 time: 0.4226 data_time: 0.0021 loss: 2.1458 03/03 18:32:22 - mmengine - INFO - Epoch(train) [7][1100/5005] lr: 1.0000e-01 eta: 2 days, 8:34:38 time: 0.4193 data_time: 0.0020 loss: 2.2533 03/03 18:33:05 - mmengine - INFO - Epoch(train) [7][1200/5005] lr: 1.0000e-01 eta: 2 days, 8:33:37 time: 0.4232 data_time: 0.0019 loss: 2.0842 03/03 18:33:47 - mmengine - INFO - Epoch(train) [7][1300/5005] lr: 1.0000e-01 eta: 2 days, 8:32:34 time: 0.4218 data_time: 0.0020 loss: 2.3771 03/03 18:34:29 - mmengine - INFO - Epoch(train) [7][1400/5005] lr: 1.0000e-01 eta: 2 days, 8:31:32 time: 0.4166 data_time: 0.0019 loss: 2.2481 03/03 18:35:11 - mmengine - INFO - Epoch(train) [7][1500/5005] lr: 1.0000e-01 eta: 2 days, 8:30:36 time: 0.4261 data_time: 0.0020 loss: 2.4192 03/03 18:35:54 - mmengine - INFO - Epoch(train) [7][1600/5005] lr: 1.0000e-01 eta: 2 days, 8:29:37 time: 0.4214 data_time: 0.0019 loss: 2.2419 03/03 18:36:36 - mmengine - INFO - Epoch(train) [7][1700/5005] lr: 1.0000e-01 eta: 2 days, 8:28:35 time: 0.4221 data_time: 0.0020 loss: 2.2561 03/03 18:37:18 - mmengine - INFO - Epoch(train) [7][1800/5005] lr: 1.0000e-01 eta: 2 days, 8:27:33 time: 0.4217 data_time: 0.0019 loss: 2.6054 03/03 18:38:00 - mmengine - INFO - Epoch(train) [7][1900/5005] lr: 1.0000e-01 eta: 2 days, 8:26:27 time: 0.4214 data_time: 0.0020 loss: 2.2584 03/03 18:38:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:38:42 - mmengine - INFO - Epoch(train) [7][2000/5005] lr: 1.0000e-01 eta: 2 days, 8:25:24 time: 0.4175 data_time: 0.0020 loss: 2.3082 03/03 18:39:24 - mmengine - INFO - Epoch(train) [7][2100/5005] lr: 1.0000e-01 eta: 2 days, 8:24:20 time: 0.4201 data_time: 0.0020 loss: 2.1443 03/03 18:40:06 - mmengine - INFO - Epoch(train) [7][2200/5005] lr: 1.0000e-01 eta: 2 days, 8:23:16 time: 0.4160 data_time: 0.0019 loss: 2.3490 03/03 18:40:48 - mmengine - INFO - Epoch(train) [7][2300/5005] lr: 1.0000e-01 eta: 2 days, 8:22:14 time: 0.4184 data_time: 0.0020 loss: 2.2690 03/03 18:41:30 - mmengine - INFO - Epoch(train) [7][2400/5005] lr: 1.0000e-01 eta: 2 days, 8:21:12 time: 0.4176 data_time: 0.0020 loss: 2.2778 03/03 18:42:12 - mmengine - INFO - Epoch(train) [7][2500/5005] lr: 1.0000e-01 eta: 2 days, 8:20:11 time: 0.4192 data_time: 0.0020 loss: 2.2154 03/03 18:42:54 - mmengine - INFO - Epoch(train) [7][2600/5005] lr: 1.0000e-01 eta: 2 days, 8:19:13 time: 0.4224 data_time: 0.0018 loss: 2.1907 03/03 18:43:36 - mmengine - INFO - Epoch(train) [7][2700/5005] lr: 1.0000e-01 eta: 2 days, 8:18:10 time: 0.4177 data_time: 0.0020 loss: 2.3586 03/03 18:44:18 - mmengine - INFO - Epoch(train) [7][2800/5005] lr: 1.0000e-01 eta: 2 days, 8:17:10 time: 0.4174 data_time: 0.0019 loss: 2.2370 03/03 18:45:00 - mmengine - INFO - Epoch(train) [7][2900/5005] lr: 1.0000e-01 eta: 2 days, 8:16:07 time: 0.4213 data_time: 0.0020 loss: 2.1744 03/03 18:45:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:45:42 - mmengine - INFO - Epoch(train) [7][3000/5005] lr: 1.0000e-01 eta: 2 days, 8:15:04 time: 0.4217 data_time: 0.0019 loss: 2.1931 03/03 18:46:24 - mmengine - INFO - Epoch(train) [7][3100/5005] lr: 1.0000e-01 eta: 2 days, 8:14:02 time: 0.4238 data_time: 0.0020 loss: 2.1890 03/03 18:47:07 - mmengine - INFO - Epoch(train) [7][3200/5005] lr: 1.0000e-01 eta: 2 days, 8:13:04 time: 0.4312 data_time: 0.0019 loss: 2.2331 03/03 18:47:49 - mmengine - INFO - Epoch(train) [7][3300/5005] lr: 1.0000e-01 eta: 2 days, 8:12:04 time: 0.4203 data_time: 0.0018 loss: 2.1288 03/03 18:48:31 - mmengine - INFO - Epoch(train) [7][3400/5005] lr: 1.0000e-01 eta: 2 days, 8:11:03 time: 0.4245 data_time: 0.0020 loss: 2.2224 03/03 18:49:13 - mmengine - INFO - Epoch(train) [7][3500/5005] lr: 1.0000e-01 eta: 2 days, 8:10:04 time: 0.4162 data_time: 0.0019 loss: 2.1282 03/03 18:49:55 - mmengine - INFO - Epoch(train) [7][3600/5005] lr: 1.0000e-01 eta: 2 days, 8:09:04 time: 0.4206 data_time: 0.0019 loss: 2.2111 03/03 18:50:37 - mmengine - INFO - Epoch(train) [7][3700/5005] lr: 1.0000e-01 eta: 2 days, 8:08:06 time: 0.4192 data_time: 0.0019 loss: 2.2264 03/03 18:51:19 - mmengine - INFO - Epoch(train) [7][3800/5005] lr: 1.0000e-01 eta: 2 days, 8:07:05 time: 0.4241 data_time: 0.0018 loss: 2.3399 03/03 18:52:02 - mmengine - INFO - Epoch(train) [7][3900/5005] lr: 1.0000e-01 eta: 2 days, 8:06:07 time: 0.4234 data_time: 0.0018 loss: 2.2363 03/03 18:52:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:52:44 - mmengine - INFO - Epoch(train) [7][4000/5005] lr: 1.0000e-01 eta: 2 days, 8:05:11 time: 0.4233 data_time: 0.0020 loss: 2.1337 03/03 18:53:26 - mmengine - INFO - Epoch(train) [7][4100/5005] lr: 1.0000e-01 eta: 2 days, 8:04:11 time: 0.4216 data_time: 0.0019 loss: 2.2789 03/03 18:54:08 - mmengine - INFO - Epoch(train) [7][4200/5005] lr: 1.0000e-01 eta: 2 days, 8:03:12 time: 0.4202 data_time: 0.0020 loss: 2.1455 03/03 18:54:50 - mmengine - INFO - Epoch(train) [7][4300/5005] lr: 1.0000e-01 eta: 2 days, 8:02:14 time: 0.4232 data_time: 0.0019 loss: 2.3053 03/03 18:55:32 - mmengine - INFO - Epoch(train) [7][4400/5005] lr: 1.0000e-01 eta: 2 days, 8:01:14 time: 0.4208 data_time: 0.0019 loss: 2.4138 03/03 18:56:15 - mmengine - INFO - Epoch(train) [7][4500/5005] lr: 1.0000e-01 eta: 2 days, 8:00:15 time: 0.4190 data_time: 0.0019 loss: 2.2926 03/03 18:56:57 - mmengine - INFO - Epoch(train) [7][4600/5005] lr: 1.0000e-01 eta: 2 days, 7:59:16 time: 0.4189 data_time: 0.0024 loss: 2.0989 03/03 18:57:39 - mmengine - INFO - Epoch(train) [7][4700/5005] lr: 1.0000e-01 eta: 2 days, 7:58:18 time: 0.4197 data_time: 0.0019 loss: 2.2644 03/03 18:58:21 - mmengine - INFO - Epoch(train) [7][4800/5005] lr: 1.0000e-01 eta: 2 days, 7:57:18 time: 0.4165 data_time: 0.0019 loss: 2.2395 03/03 18:59:03 - mmengine - INFO - Epoch(train) [7][4900/5005] lr: 1.0000e-01 eta: 2 days, 7:56:19 time: 0.4214 data_time: 0.0020 loss: 2.2272 03/03 18:59:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:59:45 - mmengine - INFO - Epoch(train) [7][5000/5005] lr: 1.0000e-01 eta: 2 days, 7:55:18 time: 0.4189 data_time: 0.0017 loss: 2.0780 03/03 18:59:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 18:59:48 - mmengine - INFO - Saving checkpoint at 7 epochs 03/03 19:00:00 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:00:08 time: 0.0294 data_time: 0.0005 03/03 19:00:13 - mmengine - INFO - Epoch(val) [7][196/196] accuracy/top1: 53.6400 accuracy/top5: 79.2300 03/03 19:00:59 - mmengine - INFO - Epoch(train) [8][ 100/5005] lr: 1.0000e-01 eta: 2 days, 7:55:05 time: 0.4192 data_time: 0.0019 loss: 1.9789 03/03 19:01:41 - mmengine - INFO - Epoch(train) [8][ 200/5005] lr: 1.0000e-01 eta: 2 days, 7:54:06 time: 0.4194 data_time: 0.0020 loss: 2.1246 03/03 19:02:23 - mmengine - INFO - Epoch(train) [8][ 300/5005] lr: 1.0000e-01 eta: 2 days, 7:53:10 time: 0.4159 data_time: 0.0019 loss: 2.1207 03/03 19:03:05 - mmengine - INFO - Epoch(train) [8][ 400/5005] lr: 1.0000e-01 eta: 2 days, 7:52:08 time: 0.4163 data_time: 0.0020 loss: 2.0333 03/03 19:03:47 - mmengine - INFO - Epoch(train) [8][ 500/5005] lr: 1.0000e-01 eta: 2 days, 7:51:09 time: 0.4170 data_time: 0.0020 loss: 2.3849 03/03 19:04:29 - mmengine - INFO - Epoch(train) [8][ 600/5005] lr: 1.0000e-01 eta: 2 days, 7:50:11 time: 0.4201 data_time: 0.0020 loss: 2.0128 03/03 19:05:12 - mmengine - INFO - Epoch(train) [8][ 700/5005] lr: 1.0000e-01 eta: 2 days, 7:49:15 time: 0.4328 data_time: 0.0019 loss: 1.9350 03/03 19:05:54 - mmengine - INFO - Epoch(train) [8][ 800/5005] lr: 1.0000e-01 eta: 2 days, 7:48:18 time: 0.4175 data_time: 0.0020 loss: 2.2659 03/03 19:06:36 - mmengine - INFO - Epoch(train) [8][ 900/5005] lr: 1.0000e-01 eta: 2 days, 7:47:18 time: 0.4197 data_time: 0.0020 loss: 2.1785 03/03 19:07:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:07:18 - mmengine - INFO - Epoch(train) [8][1000/5005] lr: 1.0000e-01 eta: 2 days, 7:46:23 time: 0.4219 data_time: 0.0019 loss: 2.4225 03/03 19:08:00 - mmengine - INFO - Epoch(train) [8][1100/5005] lr: 1.0000e-01 eta: 2 days, 7:45:25 time: 0.4160 data_time: 0.0020 loss: 2.2942 03/03 19:08:43 - mmengine - INFO - Epoch(train) [8][1200/5005] lr: 1.0000e-01 eta: 2 days, 7:44:32 time: 0.4200 data_time: 0.0020 loss: 2.3157 03/03 19:09:25 - mmengine - INFO - Epoch(train) [8][1300/5005] lr: 1.0000e-01 eta: 2 days, 7:43:35 time: 0.4163 data_time: 0.0020 loss: 2.0799 03/03 19:10:07 - mmengine - INFO - Epoch(train) [8][1400/5005] lr: 1.0000e-01 eta: 2 days, 7:42:36 time: 0.4215 data_time: 0.0020 loss: 2.4496 03/03 19:10:49 - mmengine - INFO - Epoch(train) [8][1500/5005] lr: 1.0000e-01 eta: 2 days, 7:41:38 time: 0.4181 data_time: 0.0018 loss: 2.3262 03/03 19:11:31 - mmengine - INFO - Epoch(train) [8][1600/5005] lr: 1.0000e-01 eta: 2 days, 7:40:40 time: 0.4183 data_time: 0.0022 loss: 2.2275 03/03 19:12:13 - mmengine - INFO - Epoch(train) [8][1700/5005] lr: 1.0000e-01 eta: 2 days, 7:39:41 time: 0.4204 data_time: 0.0019 loss: 2.0826 03/03 19:12:55 - mmengine - INFO - Epoch(train) [8][1800/5005] lr: 1.0000e-01 eta: 2 days, 7:38:42 time: 0.4225 data_time: 0.0019 loss: 2.2977 03/03 19:13:37 - mmengine - INFO - Epoch(train) [8][1900/5005] lr: 1.0000e-01 eta: 2 days, 7:37:44 time: 0.4202 data_time: 0.0021 loss: 1.9624 03/03 19:14:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:14:19 - mmengine - INFO - Epoch(train) [8][2000/5005] lr: 1.0000e-01 eta: 2 days, 7:36:49 time: 0.4179 data_time: 0.0020 loss: 2.0770 03/03 19:15:01 - mmengine - INFO - Epoch(train) [8][2100/5005] lr: 1.0000e-01 eta: 2 days, 7:35:51 time: 0.4202 data_time: 0.0020 loss: 2.2289 03/03 19:15:43 - mmengine - INFO - Epoch(train) [8][2200/5005] lr: 1.0000e-01 eta: 2 days, 7:34:53 time: 0.4219 data_time: 0.0019 loss: 2.0307 03/03 19:16:25 - mmengine - INFO - Epoch(train) [8][2300/5005] lr: 1.0000e-01 eta: 2 days, 7:33:55 time: 0.4256 data_time: 0.0020 loss: 1.8826 03/03 19:17:07 - mmengine - INFO - Epoch(train) [8][2400/5005] lr: 1.0000e-01 eta: 2 days, 7:32:57 time: 0.4234 data_time: 0.0018 loss: 2.2101 03/03 19:17:49 - mmengine - INFO - Epoch(train) [8][2500/5005] lr: 1.0000e-01 eta: 2 days, 7:31:59 time: 0.4210 data_time: 0.0020 loss: 2.0717 03/03 19:18:31 - mmengine - INFO - Epoch(train) [8][2600/5005] lr: 1.0000e-01 eta: 2 days, 7:31:01 time: 0.4196 data_time: 0.0019 loss: 2.1110 03/03 19:19:14 - mmengine - INFO - Epoch(train) [8][2700/5005] lr: 1.0000e-01 eta: 2 days, 7:30:07 time: 0.4230 data_time: 0.0021 loss: 2.4680 03/03 19:19:56 - mmengine - INFO - Epoch(train) [8][2800/5005] lr: 1.0000e-01 eta: 2 days, 7:29:11 time: 0.4274 data_time: 0.0019 loss: 2.4013 03/03 19:20:38 - mmengine - INFO - Epoch(train) [8][2900/5005] lr: 1.0000e-01 eta: 2 days, 7:28:16 time: 0.4268 data_time: 0.0020 loss: 2.0033 03/03 19:21:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:21:20 - mmengine - INFO - Epoch(train) [8][3000/5005] lr: 1.0000e-01 eta: 2 days, 7:27:19 time: 0.4151 data_time: 0.0019 loss: 2.2508 03/03 19:22:02 - mmengine - INFO - Epoch(train) [8][3100/5005] lr: 1.0000e-01 eta: 2 days, 7:26:22 time: 0.4185 data_time: 0.0020 loss: 2.2617 03/03 19:22:44 - mmengine - INFO - Epoch(train) [8][3200/5005] lr: 1.0000e-01 eta: 2 days, 7:25:26 time: 0.4220 data_time: 0.0019 loss: 2.2530 03/03 19:23:26 - mmengine - INFO - Epoch(train) [8][3300/5005] lr: 1.0000e-01 eta: 2 days, 7:24:29 time: 0.4181 data_time: 0.0019 loss: 2.3104 03/03 19:24:08 - mmengine - INFO - Epoch(train) [8][3400/5005] lr: 1.0000e-01 eta: 2 days, 7:23:33 time: 0.4227 data_time: 0.0020 loss: 2.3577 03/03 19:24:50 - mmengine - INFO - Epoch(train) [8][3500/5005] lr: 1.0000e-01 eta: 2 days, 7:22:37 time: 0.4182 data_time: 0.0020 loss: 2.0841 03/03 19:25:32 - mmengine - INFO - Epoch(train) [8][3600/5005] lr: 1.0000e-01 eta: 2 days, 7:21:40 time: 0.4209 data_time: 0.0019 loss: 2.2199 03/03 19:26:14 - mmengine - INFO - Epoch(train) [8][3700/5005] lr: 1.0000e-01 eta: 2 days, 7:20:43 time: 0.4205 data_time: 0.0020 loss: 2.1296 03/03 19:26:57 - mmengine - INFO - Epoch(train) [8][3800/5005] lr: 1.0000e-01 eta: 2 days, 7:19:48 time: 0.4204 data_time: 0.0020 loss: 2.0723 03/03 19:27:39 - mmengine - INFO - Epoch(train) [8][3900/5005] lr: 1.0000e-01 eta: 2 days, 7:18:52 time: 0.4238 data_time: 0.0019 loss: 2.2597 03/03 19:28:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:28:21 - mmengine - INFO - Epoch(train) [8][4000/5005] lr: 1.0000e-01 eta: 2 days, 7:17:58 time: 0.4242 data_time: 0.0019 loss: 2.0999 03/03 19:29:03 - mmengine - INFO - Epoch(train) [8][4100/5005] lr: 1.0000e-01 eta: 2 days, 7:17:02 time: 0.4232 data_time: 0.0019 loss: 2.1631 03/03 19:29:45 - mmengine - INFO - Epoch(train) [8][4200/5005] lr: 1.0000e-01 eta: 2 days, 7:16:08 time: 0.4199 data_time: 0.0019 loss: 2.4041 03/03 19:30:28 - mmengine - INFO - Epoch(train) [8][4300/5005] lr: 1.0000e-01 eta: 2 days, 7:15:16 time: 0.4193 data_time: 0.0019 loss: 2.0536 03/03 19:31:10 - mmengine - INFO - Epoch(train) [8][4400/5005] lr: 1.0000e-01 eta: 2 days, 7:14:23 time: 0.4319 data_time: 0.0020 loss: 2.3075 03/03 19:31:52 - mmengine - INFO - Epoch(train) [8][4500/5005] lr: 1.0000e-01 eta: 2 days, 7:13:28 time: 0.4197 data_time: 0.0020 loss: 2.2160 03/03 19:32:34 - mmengine - INFO - Epoch(train) [8][4600/5005] lr: 1.0000e-01 eta: 2 days, 7:12:32 time: 0.4223 data_time: 0.0019 loss: 2.0343 03/03 19:33:16 - mmengine - INFO - Epoch(train) [8][4700/5005] lr: 1.0000e-01 eta: 2 days, 7:11:38 time: 0.4193 data_time: 0.0018 loss: 2.2371 03/03 19:33:58 - mmengine - INFO - Epoch(train) [8][4800/5005] lr: 1.0000e-01 eta: 2 days, 7:10:44 time: 0.4230 data_time: 0.0020 loss: 2.2721 03/03 19:34:40 - mmengine - INFO - Epoch(train) [8][4900/5005] lr: 1.0000e-01 eta: 2 days, 7:09:48 time: 0.4192 data_time: 0.0019 loss: 2.3990 03/03 19:35:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:35:22 - mmengine - INFO - Epoch(train) [8][5000/5005] lr: 1.0000e-01 eta: 2 days, 7:08:52 time: 0.4174 data_time: 0.0018 loss: 2.0451 03/03 19:35:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:35:25 - mmengine - INFO - Saving checkpoint at 8 epochs 03/03 19:35:37 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:00:08 time: 0.0284 data_time: 0.0004 03/03 19:35:50 - mmengine - INFO - Epoch(val) [8][196/196] accuracy/top1: 54.2740 accuracy/top5: 79.7180 03/03 19:36:36 - mmengine - INFO - Epoch(train) [9][ 100/5005] lr: 1.0000e-01 eta: 2 days, 7:08:30 time: 0.4225 data_time: 0.0024 loss: 2.1152 03/03 19:37:18 - mmengine - INFO - Epoch(train) [9][ 200/5005] lr: 1.0000e-01 eta: 2 days, 7:07:36 time: 0.4232 data_time: 0.0027 loss: 2.1477 03/03 19:38:00 - mmengine - INFO - Epoch(train) [9][ 300/5005] lr: 1.0000e-01 eta: 2 days, 7:06:41 time: 0.4216 data_time: 0.0024 loss: 2.1691 03/03 19:38:42 - mmengine - INFO - Epoch(train) [9][ 400/5005] lr: 1.0000e-01 eta: 2 days, 7:05:48 time: 0.4202 data_time: 0.0019 loss: 2.0078 03/03 19:39:24 - mmengine - INFO - Epoch(train) [9][ 500/5005] lr: 1.0000e-01 eta: 2 days, 7:04:53 time: 0.4234 data_time: 0.0020 loss: 2.3979 03/03 19:40:06 - mmengine - INFO - Epoch(train) [9][ 600/5005] lr: 1.0000e-01 eta: 2 days, 7:04:00 time: 0.4180 data_time: 0.0020 loss: 1.9767 03/03 19:40:48 - mmengine - INFO - Epoch(train) [9][ 700/5005] lr: 1.0000e-01 eta: 2 days, 7:03:04 time: 0.4154 data_time: 0.0020 loss: 2.4338 03/03 19:41:31 - mmengine - INFO - Epoch(train) [9][ 800/5005] lr: 1.0000e-01 eta: 2 days, 7:02:12 time: 0.4269 data_time: 0.0019 loss: 2.1077 03/03 19:42:13 - mmengine - INFO - Epoch(train) [9][ 900/5005] lr: 1.0000e-01 eta: 2 days, 7:01:17 time: 0.4172 data_time: 0.0020 loss: 1.9733 03/03 19:42:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:42:55 - mmengine - INFO - Epoch(train) [9][1000/5005] lr: 1.0000e-01 eta: 2 days, 7:00:21 time: 0.4207 data_time: 0.0019 loss: 2.0798 03/03 19:43:37 - mmengine - INFO - Epoch(train) [9][1100/5005] lr: 1.0000e-01 eta: 2 days, 6:59:28 time: 0.4209 data_time: 0.0019 loss: 2.0705 03/03 19:44:19 - mmengine - INFO - Epoch(train) [9][1200/5005] lr: 1.0000e-01 eta: 2 days, 6:58:35 time: 0.4232 data_time: 0.0020 loss: 2.1320 03/03 19:45:02 - mmengine - INFO - Epoch(train) [9][1300/5005] lr: 1.0000e-01 eta: 2 days, 6:57:43 time: 0.4209 data_time: 0.0019 loss: 2.1587 03/03 19:45:44 - mmengine - INFO - Epoch(train) [9][1400/5005] lr: 1.0000e-01 eta: 2 days, 6:56:49 time: 0.4163 data_time: 0.0019 loss: 2.1911 03/03 19:46:26 - mmengine - INFO - Epoch(train) [9][1500/5005] lr: 1.0000e-01 eta: 2 days, 6:55:54 time: 0.4193 data_time: 0.0021 loss: 2.0346 03/03 19:47:08 - mmengine - INFO - Epoch(train) [9][1600/5005] lr: 1.0000e-01 eta: 2 days, 6:54:58 time: 0.4219 data_time: 0.0019 loss: 2.2390 03/03 19:47:50 - mmengine - INFO - Epoch(train) [9][1700/5005] lr: 1.0000e-01 eta: 2 days, 6:54:05 time: 0.4187 data_time: 0.0021 loss: 1.9128 03/03 19:48:32 - mmengine - INFO - Epoch(train) [9][1800/5005] lr: 1.0000e-01 eta: 2 days, 6:53:12 time: 0.4207 data_time: 0.0020 loss: 2.0472 03/03 19:49:14 - mmengine - INFO - Epoch(train) [9][1900/5005] lr: 1.0000e-01 eta: 2 days, 6:52:17 time: 0.4196 data_time: 0.0020 loss: 1.9405 03/03 19:49:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:49:56 - mmengine - INFO - Epoch(train) [9][2000/5005] lr: 1.0000e-01 eta: 2 days, 6:51:28 time: 0.4187 data_time: 0.0021 loss: 1.9723 03/03 19:50:39 - mmengine - INFO - Epoch(train) [9][2100/5005] lr: 1.0000e-01 eta: 2 days, 6:50:33 time: 0.4202 data_time: 0.0019 loss: 2.1278 03/03 19:51:21 - mmengine - INFO - Epoch(train) [9][2200/5005] lr: 1.0000e-01 eta: 2 days, 6:49:39 time: 0.4226 data_time: 0.0018 loss: 2.0163 03/03 19:52:03 - mmengine - INFO - Epoch(train) [9][2300/5005] lr: 1.0000e-01 eta: 2 days, 6:48:46 time: 0.4211 data_time: 0.0020 loss: 2.1385 03/03 19:52:45 - mmengine - INFO - Epoch(train) [9][2400/5005] lr: 1.0000e-01 eta: 2 days, 6:47:52 time: 0.4179 data_time: 0.0021 loss: 2.1595 03/03 19:53:27 - mmengine - INFO - Epoch(train) [9][2500/5005] lr: 1.0000e-01 eta: 2 days, 6:47:00 time: 0.4278 data_time: 0.0020 loss: 2.2698 03/03 19:54:09 - mmengine - INFO - Epoch(train) [9][2600/5005] lr: 1.0000e-01 eta: 2 days, 6:46:08 time: 0.4377 data_time: 0.0020 loss: 2.1514 03/03 19:54:52 - mmengine - INFO - Epoch(train) [9][2700/5005] lr: 1.0000e-01 eta: 2 days, 6:45:16 time: 0.4201 data_time: 0.0022 loss: 2.1365 03/03 19:55:34 - mmengine - INFO - Epoch(train) [9][2800/5005] lr: 1.0000e-01 eta: 2 days, 6:44:21 time: 0.4204 data_time: 0.0020 loss: 1.9770 03/03 19:56:16 - mmengine - INFO - Epoch(train) [9][2900/5005] lr: 1.0000e-01 eta: 2 days, 6:43:27 time: 0.4203 data_time: 0.0020 loss: 1.8521 03/03 19:56:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 19:56:58 - mmengine - INFO - Epoch(train) [9][3000/5005] lr: 1.0000e-01 eta: 2 days, 6:42:33 time: 0.4185 data_time: 0.0021 loss: 2.0461 03/03 19:57:40 - mmengine - INFO - Epoch(train) [9][3100/5005] lr: 1.0000e-01 eta: 2 days, 6:41:38 time: 0.4164 data_time: 0.0020 loss: 2.1594 03/03 19:58:22 - mmengine - INFO - Epoch(train) [9][3200/5005] lr: 1.0000e-01 eta: 2 days, 6:40:47 time: 0.4219 data_time: 0.0020 loss: 2.1957 03/03 19:59:04 - mmengine - INFO - Epoch(train) [9][3300/5005] lr: 1.0000e-01 eta: 2 days, 6:39:54 time: 0.4205 data_time: 0.0020 loss: 1.9311 03/03 19:59:46 - mmengine - INFO - Epoch(train) [9][3400/5005] lr: 1.0000e-01 eta: 2 days, 6:39:01 time: 0.4215 data_time: 0.0020 loss: 2.1060 03/03 20:00:28 - mmengine - INFO - Epoch(train) [9][3500/5005] lr: 1.0000e-01 eta: 2 days, 6:38:08 time: 0.4218 data_time: 0.0021 loss: 2.2338 03/03 20:01:10 - mmengine - INFO - Epoch(train) [9][3600/5005] lr: 1.0000e-01 eta: 2 days, 6:37:15 time: 0.4233 data_time: 0.0019 loss: 2.2521 03/03 20:01:52 - mmengine - INFO - Epoch(train) [9][3700/5005] lr: 1.0000e-01 eta: 2 days, 6:36:22 time: 0.4226 data_time: 0.0020 loss: 1.9864 03/03 20:02:35 - mmengine - INFO - Epoch(train) [9][3800/5005] lr: 1.0000e-01 eta: 2 days, 6:35:30 time: 0.4194 data_time: 0.0021 loss: 2.1943 03/03 20:03:17 - mmengine - INFO - Epoch(train) [9][3900/5005] lr: 1.0000e-01 eta: 2 days, 6:34:37 time: 0.4199 data_time: 0.0021 loss: 2.1278 03/03 20:03:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:03:59 - mmengine - INFO - Epoch(train) [9][4000/5005] lr: 1.0000e-01 eta: 2 days, 6:33:46 time: 0.4224 data_time: 0.0020 loss: 2.0754 03/03 20:04:41 - mmengine - INFO - Epoch(train) [9][4100/5005] lr: 1.0000e-01 eta: 2 days, 6:32:53 time: 0.4206 data_time: 0.0019 loss: 2.0932 03/03 20:05:23 - mmengine - INFO - Epoch(train) [9][4200/5005] lr: 1.0000e-01 eta: 2 days, 6:32:00 time: 0.4222 data_time: 0.0019 loss: 2.0817 03/03 20:06:05 - mmengine - INFO - Epoch(train) [9][4300/5005] lr: 1.0000e-01 eta: 2 days, 6:31:08 time: 0.4187 data_time: 0.0019 loss: 2.1869 03/03 20:06:47 - mmengine - INFO - Epoch(train) [9][4400/5005] lr: 1.0000e-01 eta: 2 days, 6:30:16 time: 0.4235 data_time: 0.0019 loss: 2.1552 03/03 20:07:30 - mmengine - INFO - Epoch(train) [9][4500/5005] lr: 1.0000e-01 eta: 2 days, 6:29:26 time: 0.4272 data_time: 0.0020 loss: 1.9901 03/03 20:08:12 - mmengine - INFO - Epoch(train) [9][4600/5005] lr: 1.0000e-01 eta: 2 days, 6:28:33 time: 0.4212 data_time: 0.0021 loss: 2.1299 03/03 20:08:54 - mmengine - INFO - Epoch(train) [9][4700/5005] lr: 1.0000e-01 eta: 2 days, 6:27:39 time: 0.4195 data_time: 0.0019 loss: 2.0244 03/03 20:09:36 - mmengine - INFO - Epoch(train) [9][4800/5005] lr: 1.0000e-01 eta: 2 days, 6:26:47 time: 0.4159 data_time: 0.0019 loss: 2.0549 03/03 20:10:18 - mmengine - INFO - Epoch(train) [9][4900/5005] lr: 1.0000e-01 eta: 2 days, 6:25:52 time: 0.4205 data_time: 0.0020 loss: 1.9416 03/03 20:10:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:11:00 - mmengine - INFO - Epoch(train) [9][5000/5005] lr: 1.0000e-01 eta: 2 days, 6:24:57 time: 0.4133 data_time: 0.0017 loss: 2.2886 03/03 20:11:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:11:02 - mmengine - INFO - Saving checkpoint at 9 epochs 03/03 20:11:15 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:00:08 time: 0.0285 data_time: 0.0005 03/03 20:11:28 - mmengine - INFO - Epoch(val) [9][196/196] accuracy/top1: 57.3820 accuracy/top5: 81.9920 03/03 20:12:14 - mmengine - INFO - Epoch(train) [10][ 100/5005] lr: 1.0000e-01 eta: 2 days, 6:24:36 time: 0.4213 data_time: 0.0022 loss: 2.1293 03/03 20:12:56 - mmengine - INFO - Epoch(train) [10][ 200/5005] lr: 1.0000e-01 eta: 2 days, 6:23:43 time: 0.4178 data_time: 0.0019 loss: 1.9808 03/03 20:13:38 - mmengine - INFO - Epoch(train) [10][ 300/5005] lr: 1.0000e-01 eta: 2 days, 6:22:50 time: 0.4207 data_time: 0.0019 loss: 2.1813 03/03 20:14:20 - mmengine - INFO - Epoch(train) [10][ 400/5005] lr: 1.0000e-01 eta: 2 days, 6:22:01 time: 0.4215 data_time: 0.0022 loss: 2.1660 03/03 20:15:02 - mmengine - INFO - Epoch(train) [10][ 500/5005] lr: 1.0000e-01 eta: 2 days, 6:21:08 time: 0.4220 data_time: 0.0021 loss: 2.2043 03/03 20:15:44 - mmengine - INFO - Epoch(train) [10][ 600/5005] lr: 1.0000e-01 eta: 2 days, 6:20:16 time: 0.4202 data_time: 0.0021 loss: 2.1864 03/03 20:16:26 - mmengine - INFO - Epoch(train) [10][ 700/5005] lr: 1.0000e-01 eta: 2 days, 6:19:24 time: 0.4169 data_time: 0.0020 loss: 2.2080 03/03 20:17:08 - mmengine - INFO - Epoch(train) [10][ 800/5005] lr: 1.0000e-01 eta: 2 days, 6:18:32 time: 0.4168 data_time: 0.0020 loss: 2.2958 03/03 20:17:51 - mmengine - INFO - Epoch(train) [10][ 900/5005] lr: 1.0000e-01 eta: 2 days, 6:17:40 time: 0.4168 data_time: 0.0020 loss: 2.1211 03/03 20:18:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:18:33 - mmengine - INFO - Epoch(train) [10][1000/5005] lr: 1.0000e-01 eta: 2 days, 6:16:48 time: 0.4207 data_time: 0.0019 loss: 2.1560 03/03 20:19:15 - mmengine - INFO - Epoch(train) [10][1100/5005] lr: 1.0000e-01 eta: 2 days, 6:15:56 time: 0.4211 data_time: 0.0019 loss: 2.1565 03/03 20:19:57 - mmengine - INFO - Epoch(train) [10][1200/5005] lr: 1.0000e-01 eta: 2 days, 6:15:04 time: 0.4227 data_time: 0.0020 loss: 2.2082 03/03 20:20:39 - mmengine - INFO - Epoch(train) [10][1300/5005] lr: 1.0000e-01 eta: 2 days, 6:14:13 time: 0.4281 data_time: 0.0020 loss: 2.3499 03/03 20:21:21 - mmengine - INFO - Epoch(train) [10][1400/5005] lr: 1.0000e-01 eta: 2 days, 6:13:22 time: 0.4227 data_time: 0.0021 loss: 2.0418 03/03 20:22:03 - mmengine - INFO - Epoch(train) [10][1500/5005] lr: 1.0000e-01 eta: 2 days, 6:12:30 time: 0.4250 data_time: 0.0019 loss: 2.3326 03/03 20:22:45 - mmengine - INFO - Epoch(train) [10][1600/5005] lr: 1.0000e-01 eta: 2 days, 6:11:38 time: 0.4227 data_time: 0.0020 loss: 2.2050 03/03 20:23:27 - mmengine - INFO - Epoch(train) [10][1700/5005] lr: 1.0000e-01 eta: 2 days, 6:10:46 time: 0.4208 data_time: 0.0019 loss: 2.3395 03/03 20:24:10 - mmengine - INFO - Epoch(train) [10][1800/5005] lr: 1.0000e-01 eta: 2 days, 6:09:58 time: 0.4184 data_time: 0.0021 loss: 2.3651 03/03 20:24:52 - mmengine - INFO - Epoch(train) [10][1900/5005] lr: 1.0000e-01 eta: 2 days, 6:09:08 time: 0.4233 data_time: 0.0019 loss: 2.1215 03/03 20:25:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:25:34 - mmengine - INFO - Epoch(train) [10][2000/5005] lr: 1.0000e-01 eta: 2 days, 6:08:17 time: 0.4176 data_time: 0.0019 loss: 2.3701 03/03 20:26:16 - mmengine - INFO - Epoch(train) [10][2100/5005] lr: 1.0000e-01 eta: 2 days, 6:07:25 time: 0.4183 data_time: 0.0019 loss: 2.1067 03/03 20:26:58 - mmengine - INFO - Epoch(train) [10][2200/5005] lr: 1.0000e-01 eta: 2 days, 6:06:32 time: 0.4206 data_time: 0.0019 loss: 2.0836 03/03 20:27:40 - mmengine - INFO - Epoch(train) [10][2300/5005] lr: 1.0000e-01 eta: 2 days, 6:05:40 time: 0.4172 data_time: 0.0020 loss: 2.3294 03/03 20:28:22 - mmengine - INFO - Epoch(train) [10][2400/5005] lr: 1.0000e-01 eta: 2 days, 6:04:48 time: 0.4253 data_time: 0.0019 loss: 2.0212 03/03 20:29:04 - mmengine - INFO - Epoch(train) [10][2500/5005] lr: 1.0000e-01 eta: 2 days, 6:03:55 time: 0.4183 data_time: 0.0020 loss: 2.0556 03/03 20:29:47 - mmengine - INFO - Epoch(train) [10][2600/5005] lr: 1.0000e-01 eta: 2 days, 6:03:04 time: 0.4215 data_time: 0.0020 loss: 2.1974 03/03 20:30:29 - mmengine - INFO - Epoch(train) [10][2700/5005] lr: 1.0000e-01 eta: 2 days, 6:02:13 time: 0.4299 data_time: 0.0020 loss: 2.0170 03/03 20:31:11 - mmengine - INFO - Epoch(train) [10][2800/5005] lr: 1.0000e-01 eta: 2 days, 6:01:22 time: 0.4201 data_time: 0.0020 loss: 2.2026 03/03 20:31:53 - mmengine - INFO - Epoch(train) [10][2900/5005] lr: 1.0000e-01 eta: 2 days, 6:00:30 time: 0.4188 data_time: 0.0019 loss: 1.9679 03/03 20:32:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:32:35 - mmengine - INFO - Epoch(train) [10][3000/5005] lr: 1.0000e-01 eta: 2 days, 5:59:39 time: 0.4205 data_time: 0.0021 loss: 2.3310 03/03 20:33:17 - mmengine - INFO - Epoch(train) [10][3100/5005] lr: 1.0000e-01 eta: 2 days, 5:58:50 time: 0.4316 data_time: 0.0019 loss: 2.1736 03/03 20:34:00 - mmengine - INFO - Epoch(train) [10][3200/5005] lr: 1.0000e-01 eta: 2 days, 5:58:02 time: 0.4297 data_time: 0.0025 loss: 2.0754 03/03 20:34:42 - mmengine - INFO - Epoch(train) [10][3300/5005] lr: 1.0000e-01 eta: 2 days, 5:57:12 time: 0.4223 data_time: 0.0020 loss: 2.0246 03/03 20:35:24 - mmengine - INFO - Epoch(train) [10][3400/5005] lr: 1.0000e-01 eta: 2 days, 5:56:21 time: 0.4220 data_time: 0.0020 loss: 2.2457 03/03 20:36:06 - mmengine - INFO - Epoch(train) [10][3500/5005] lr: 1.0000e-01 eta: 2 days, 5:55:30 time: 0.4167 data_time: 0.0020 loss: 2.0258 03/03 20:36:48 - mmengine - INFO - Epoch(train) [10][3600/5005] lr: 1.0000e-01 eta: 2 days, 5:54:39 time: 0.4260 data_time: 0.0019 loss: 2.0841 03/03 20:37:30 - mmengine - INFO - Epoch(train) [10][3700/5005] lr: 1.0000e-01 eta: 2 days, 5:53:48 time: 0.4216 data_time: 0.0020 loss: 2.2438 03/03 20:38:12 - mmengine - INFO - Epoch(train) [10][3800/5005] lr: 1.0000e-01 eta: 2 days, 5:52:58 time: 0.4181 data_time: 0.0019 loss: 2.3419 03/03 20:38:55 - mmengine - INFO - Epoch(train) [10][3900/5005] lr: 1.0000e-01 eta: 2 days, 5:52:08 time: 0.4228 data_time: 0.0019 loss: 2.1217 03/03 20:39:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:39:37 - mmengine - INFO - Epoch(train) [10][4000/5005] lr: 1.0000e-01 eta: 2 days, 5:51:16 time: 0.4179 data_time: 0.0019 loss: 2.1540 03/03 20:40:19 - mmengine - INFO - Epoch(train) [10][4100/5005] lr: 1.0000e-01 eta: 2 days, 5:50:28 time: 0.4230 data_time: 0.0019 loss: 1.9802 03/03 20:41:01 - mmengine - INFO - Epoch(train) [10][4200/5005] lr: 1.0000e-01 eta: 2 days, 5:49:36 time: 0.4163 data_time: 0.0021 loss: 2.1878 03/03 20:41:43 - mmengine - INFO - Epoch(train) [10][4300/5005] lr: 1.0000e-01 eta: 2 days, 5:48:47 time: 0.4232 data_time: 0.0019 loss: 2.1188 03/03 20:42:25 - mmengine - INFO - Epoch(train) [10][4400/5005] lr: 1.0000e-01 eta: 2 days, 5:47:57 time: 0.4246 data_time: 0.0020 loss: 1.9628 03/03 20:43:08 - mmengine - INFO - Epoch(train) [10][4500/5005] lr: 1.0000e-01 eta: 2 days, 5:47:07 time: 0.4221 data_time: 0.0020 loss: 2.1406 03/03 20:43:50 - mmengine - INFO - Epoch(train) [10][4600/5005] lr: 1.0000e-01 eta: 2 days, 5:46:18 time: 0.4187 data_time: 0.0021 loss: 2.0975 03/03 20:44:32 - mmengine - INFO - Epoch(train) [10][4700/5005] lr: 1.0000e-01 eta: 2 days, 5:45:28 time: 0.4216 data_time: 0.0020 loss: 2.1187 03/03 20:45:14 - mmengine - INFO - Epoch(train) [10][4800/5005] lr: 1.0000e-01 eta: 2 days, 5:44:40 time: 0.4251 data_time: 0.0020 loss: 2.0164 03/03 20:45:56 - mmengine - INFO - Epoch(train) [10][4900/5005] lr: 1.0000e-01 eta: 2 days, 5:43:48 time: 0.4198 data_time: 0.0021 loss: 2.0527 03/03 20:46:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:46:38 - mmengine - INFO - Epoch(train) [10][5000/5005] lr: 1.0000e-01 eta: 2 days, 5:42:56 time: 0.4164 data_time: 0.0018 loss: 2.2051 03/03 20:46:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:46:41 - mmengine - INFO - Saving checkpoint at 10 epochs 03/03 20:46:53 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:00:09 time: 0.0280 data_time: 0.0005 03/03 20:47:07 - mmengine - INFO - Epoch(val) [10][196/196] accuracy/top1: 56.4540 accuracy/top5: 81.6300 03/03 20:47:52 - mmengine - INFO - Epoch(train) [11][ 100/5005] lr: 1.0000e-01 eta: 2 days, 5:42:29 time: 0.4229 data_time: 0.0024 loss: 1.9258 03/03 20:48:34 - mmengine - INFO - Epoch(train) [11][ 200/5005] lr: 1.0000e-01 eta: 2 days, 5:41:39 time: 0.4247 data_time: 0.0021 loss: 2.0196 03/03 20:49:16 - mmengine - INFO - Epoch(train) [11][ 300/5005] lr: 1.0000e-01 eta: 2 days, 5:40:48 time: 0.4155 data_time: 0.0021 loss: 2.1113 03/03 20:49:58 - mmengine - INFO - Epoch(train) [11][ 400/5005] lr: 1.0000e-01 eta: 2 days, 5:40:00 time: 0.4199 data_time: 0.0019 loss: 2.2592 03/03 20:50:40 - mmengine - INFO - Epoch(train) [11][ 500/5005] lr: 1.0000e-01 eta: 2 days, 5:39:10 time: 0.4175 data_time: 0.0020 loss: 1.9870 03/03 20:51:23 - mmengine - INFO - Epoch(train) [11][ 600/5005] lr: 1.0000e-01 eta: 2 days, 5:38:21 time: 0.4332 data_time: 0.0020 loss: 2.1303 03/03 20:52:05 - mmengine - INFO - Epoch(train) [11][ 700/5005] lr: 1.0000e-01 eta: 2 days, 5:37:33 time: 0.4188 data_time: 0.0019 loss: 2.2411 03/03 20:52:47 - mmengine - INFO - Epoch(train) [11][ 800/5005] lr: 1.0000e-01 eta: 2 days, 5:36:42 time: 0.4179 data_time: 0.0021 loss: 2.0529 03/03 20:53:29 - mmengine - INFO - Epoch(train) [11][ 900/5005] lr: 1.0000e-01 eta: 2 days, 5:35:54 time: 0.4229 data_time: 0.0019 loss: 2.0607 03/03 20:53:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 20:54:12 - mmengine - INFO - Epoch(train) [11][1000/5005] lr: 1.0000e-01 eta: 2 days, 5:35:04 time: 0.4207 data_time: 0.0020 loss: 2.0514 03/03 20:54:54 - mmengine - INFO - Epoch(train) [11][1100/5005] lr: 1.0000e-01 eta: 2 days, 5:34:15 time: 0.4289 data_time: 0.0021 loss: 2.0746 03/03 20:55:36 - mmengine - INFO - Epoch(train) [11][1200/5005] lr: 1.0000e-01 eta: 2 days, 5:33:26 time: 0.4265 data_time: 0.0021 loss: 2.0722 03/03 20:56:18 - mmengine - INFO - Epoch(train) [11][1300/5005] lr: 1.0000e-01 eta: 2 days, 5:32:36 time: 0.4187 data_time: 0.0020 loss: 2.0083 03/03 20:57:00 - mmengine - INFO - Epoch(train) [11][1400/5005] lr: 1.0000e-01 eta: 2 days, 5:31:45 time: 0.4151 data_time: 0.0021 loss: 2.1725 03/03 20:57:42 - mmengine - INFO - Epoch(train) [11][1500/5005] lr: 1.0000e-01 eta: 2 days, 5:30:55 time: 0.4171 data_time: 0.0020 loss: 2.1699 03/03 20:58:25 - mmengine - INFO - Epoch(train) [11][1600/5005] lr: 1.0000e-01 eta: 2 days, 5:30:06 time: 0.4250 data_time: 0.0020 loss: 1.7894 03/03 20:59:07 - mmengine - INFO - Epoch(train) [11][1700/5005] lr: 1.0000e-01 eta: 2 days, 5:29:16 time: 0.4192 data_time: 0.0021 loss: 2.2158 03/03 20:59:49 - mmengine - INFO - Epoch(train) [11][1800/5005] lr: 1.0000e-01 eta: 2 days, 5:28:27 time: 0.4191 data_time: 0.0021 loss: 2.1907 03/03 21:00:31 - mmengine - INFO - Epoch(train) [11][1900/5005] lr: 1.0000e-01 eta: 2 days, 5:27:37 time: 0.4207 data_time: 0.0020 loss: 2.1183 03/03 21:00:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:01:13 - mmengine - INFO - Epoch(train) [11][2000/5005] lr: 1.0000e-01 eta: 2 days, 5:26:49 time: 0.4223 data_time: 0.0020 loss: 2.1275 03/03 21:01:56 - mmengine - INFO - Epoch(train) [11][2100/5005] lr: 1.0000e-01 eta: 2 days, 5:26:00 time: 0.4220 data_time: 0.0021 loss: 2.0252 03/03 21:02:38 - mmengine - INFO - Epoch(train) [11][2200/5005] lr: 1.0000e-01 eta: 2 days, 5:25:12 time: 0.4306 data_time: 0.0020 loss: 2.0710 03/03 21:03:20 - mmengine - INFO - Epoch(train) [11][2300/5005] lr: 1.0000e-01 eta: 2 days, 5:24:23 time: 0.4217 data_time: 0.0019 loss: 2.1861 03/03 21:04:02 - mmengine - INFO - Epoch(train) [11][2400/5005] lr: 1.0000e-01 eta: 2 days, 5:23:32 time: 0.4201 data_time: 0.0020 loss: 2.0085 03/03 21:04:44 - mmengine - INFO - Epoch(train) [11][2500/5005] lr: 1.0000e-01 eta: 2 days, 5:22:44 time: 0.4230 data_time: 0.0020 loss: 2.1584 03/03 21:05:26 - mmengine - INFO - Epoch(train) [11][2600/5005] lr: 1.0000e-01 eta: 2 days, 5:21:53 time: 0.4190 data_time: 0.0020 loss: 2.2399 03/03 21:06:08 - mmengine - INFO - Epoch(train) [11][2700/5005] lr: 1.0000e-01 eta: 2 days, 5:21:04 time: 0.4172 data_time: 0.0020 loss: 2.2171 03/03 21:06:51 - mmengine - INFO - Epoch(train) [11][2800/5005] lr: 1.0000e-01 eta: 2 days, 5:20:14 time: 0.4238 data_time: 0.0021 loss: 2.1404 03/03 21:07:33 - mmengine - INFO - Epoch(train) [11][2900/5005] lr: 1.0000e-01 eta: 2 days, 5:19:24 time: 0.4239 data_time: 0.0020 loss: 2.0349 03/03 21:07:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:08:15 - mmengine - INFO - Epoch(train) [11][3000/5005] lr: 1.0000e-01 eta: 2 days, 5:18:35 time: 0.4218 data_time: 0.0020 loss: 2.0444 03/03 21:08:57 - mmengine - INFO - Epoch(train) [11][3100/5005] lr: 1.0000e-01 eta: 2 days, 5:17:44 time: 0.4231 data_time: 0.0020 loss: 1.9706 03/03 21:09:39 - mmengine - INFO - Epoch(train) [11][3200/5005] lr: 1.0000e-01 eta: 2 days, 5:16:56 time: 0.4170 data_time: 0.0019 loss: 2.2026 03/03 21:10:21 - mmengine - INFO - Epoch(train) [11][3300/5005] lr: 1.0000e-01 eta: 2 days, 5:16:06 time: 0.4194 data_time: 0.0019 loss: 2.1548 03/03 21:11:03 - mmengine - INFO - Epoch(train) [11][3400/5005] lr: 1.0000e-01 eta: 2 days, 5:15:15 time: 0.4220 data_time: 0.0020 loss: 2.1815 03/03 21:11:45 - mmengine - INFO - Epoch(train) [11][3500/5005] lr: 1.0000e-01 eta: 2 days, 5:14:27 time: 0.4185 data_time: 0.0020 loss: 2.1672 03/03 21:12:27 - mmengine - INFO - Epoch(train) [11][3600/5005] lr: 1.0000e-01 eta: 2 days, 5:13:37 time: 0.4347 data_time: 0.0019 loss: 2.1215 03/03 21:13:10 - mmengine - INFO - Epoch(train) [11][3700/5005] lr: 1.0000e-01 eta: 2 days, 5:12:50 time: 0.4231 data_time: 0.0019 loss: 2.0552 03/03 21:13:52 - mmengine - INFO - Epoch(train) [11][3800/5005] lr: 1.0000e-01 eta: 2 days, 5:12:02 time: 0.4263 data_time: 0.0020 loss: 2.4847 03/03 21:14:34 - mmengine - INFO - Epoch(train) [11][3900/5005] lr: 1.0000e-01 eta: 2 days, 5:11:12 time: 0.4216 data_time: 0.0020 loss: 2.0830 03/03 21:14:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:15:16 - mmengine - INFO - Epoch(train) [11][4000/5005] lr: 1.0000e-01 eta: 2 days, 5:10:22 time: 0.4233 data_time: 0.0020 loss: 1.8908 03/03 21:15:58 - mmengine - INFO - Epoch(train) [11][4100/5005] lr: 1.0000e-01 eta: 2 days, 5:09:32 time: 0.4191 data_time: 0.0021 loss: 1.9069 03/03 21:16:40 - mmengine - INFO - Epoch(train) [11][4200/5005] lr: 1.0000e-01 eta: 2 days, 5:08:44 time: 0.4224 data_time: 0.0020 loss: 2.0495 03/03 21:17:23 - mmengine - INFO - Epoch(train) [11][4300/5005] lr: 1.0000e-01 eta: 2 days, 5:07:55 time: 0.4189 data_time: 0.0021 loss: 1.9906 03/03 21:18:05 - mmengine - INFO - Epoch(train) [11][4400/5005] lr: 1.0000e-01 eta: 2 days, 5:07:07 time: 0.4236 data_time: 0.0019 loss: 1.8062 03/03 21:18:47 - mmengine - INFO - Epoch(train) [11][4500/5005] lr: 1.0000e-01 eta: 2 days, 5:06:18 time: 0.4206 data_time: 0.0021 loss: 1.9038 03/03 21:19:29 - mmengine - INFO - Epoch(train) [11][4600/5005] lr: 1.0000e-01 eta: 2 days, 5:05:30 time: 0.4209 data_time: 0.0020 loss: 2.2520 03/03 21:20:11 - mmengine - INFO - Epoch(train) [11][4700/5005] lr: 1.0000e-01 eta: 2 days, 5:04:41 time: 0.4167 data_time: 0.0020 loss: 2.1798 03/03 21:20:54 - mmengine - INFO - Epoch(train) [11][4800/5005] lr: 1.0000e-01 eta: 2 days, 5:03:53 time: 0.4240 data_time: 0.0020 loss: 1.9312 03/03 21:21:36 - mmengine - INFO - Epoch(train) [11][4900/5005] lr: 1.0000e-01 eta: 2 days, 5:03:05 time: 0.4214 data_time: 0.0021 loss: 1.8980 03/03 21:21:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:22:18 - mmengine - INFO - Epoch(train) [11][5000/5005] lr: 1.0000e-01 eta: 2 days, 5:02:16 time: 0.4148 data_time: 0.0018 loss: 2.2856 03/03 21:22:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:22:21 - mmengine - INFO - Saving checkpoint at 11 epochs 03/03 21:22:32 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:00:08 time: 0.0292 data_time: 0.0005 03/03 21:22:46 - mmengine - INFO - Epoch(val) [11][196/196] accuracy/top1: 57.1240 accuracy/top5: 81.9540 03/03 21:23:31 - mmengine - INFO - Epoch(train) [12][ 100/5005] lr: 1.0000e-01 eta: 2 days, 5:01:50 time: 0.4224 data_time: 0.0023 loss: 1.9554 03/03 21:24:14 - mmengine - INFO - Epoch(train) [12][ 200/5005] lr: 1.0000e-01 eta: 2 days, 5:01:03 time: 0.4193 data_time: 0.0022 loss: 1.9475 03/03 21:24:56 - mmengine - INFO - Epoch(train) [12][ 300/5005] lr: 1.0000e-01 eta: 2 days, 5:00:15 time: 0.4249 data_time: 0.0021 loss: 2.0115 03/03 21:25:38 - mmengine - INFO - Epoch(train) [12][ 400/5005] lr: 1.0000e-01 eta: 2 days, 4:59:26 time: 0.4196 data_time: 0.0020 loss: 2.0206 03/03 21:26:20 - mmengine - INFO - Epoch(train) [12][ 500/5005] lr: 1.0000e-01 eta: 2 days, 4:58:36 time: 0.4172 data_time: 0.0021 loss: 2.0420 03/03 21:27:02 - mmengine - INFO - Epoch(train) [12][ 600/5005] lr: 1.0000e-01 eta: 2 days, 4:57:47 time: 0.4182 data_time: 0.0020 loss: 2.0859 03/03 21:27:45 - mmengine - INFO - Epoch(train) [12][ 700/5005] lr: 1.0000e-01 eta: 2 days, 4:57:01 time: 0.4189 data_time: 0.0020 loss: 1.9441 03/03 21:28:27 - mmengine - INFO - Epoch(train) [12][ 800/5005] lr: 1.0000e-01 eta: 2 days, 4:56:11 time: 0.4215 data_time: 0.0019 loss: 2.0248 03/03 21:29:09 - mmengine - INFO - Epoch(train) [12][ 900/5005] lr: 1.0000e-01 eta: 2 days, 4:55:22 time: 0.4206 data_time: 0.0021 loss: 2.1884 03/03 21:29:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:29:51 - mmengine - INFO - Epoch(train) [12][1000/5005] lr: 1.0000e-01 eta: 2 days, 4:54:32 time: 0.4186 data_time: 0.0020 loss: 2.0273 03/03 21:30:33 - mmengine - INFO - Epoch(train) [12][1100/5005] lr: 1.0000e-01 eta: 2 days, 4:53:43 time: 0.4155 data_time: 0.0020 loss: 2.0240 03/03 21:31:15 - mmengine - INFO - Epoch(train) [12][1200/5005] lr: 1.0000e-01 eta: 2 days, 4:52:54 time: 0.4190 data_time: 0.0020 loss: 2.0597 03/03 21:31:57 - mmengine - INFO - Epoch(train) [12][1300/5005] lr: 1.0000e-01 eta: 2 days, 4:52:06 time: 0.4190 data_time: 0.0019 loss: 2.1585 03/03 21:32:39 - mmengine - INFO - Epoch(train) [12][1400/5005] lr: 1.0000e-01 eta: 2 days, 4:51:17 time: 0.4224 data_time: 0.0020 loss: 1.9094 03/03 21:33:22 - mmengine - INFO - Epoch(train) [12][1500/5005] lr: 1.0000e-01 eta: 2 days, 4:50:30 time: 0.4175 data_time: 0.0020 loss: 1.9346 03/03 21:34:04 - mmengine - INFO - Epoch(train) [12][1600/5005] lr: 1.0000e-01 eta: 2 days, 4:49:41 time: 0.4212 data_time: 0.0020 loss: 2.1249 03/03 21:34:46 - mmengine - INFO - Epoch(train) [12][1700/5005] lr: 1.0000e-01 eta: 2 days, 4:48:53 time: 0.4232 data_time: 0.0020 loss: 2.2034 03/03 21:35:28 - mmengine - INFO - Epoch(train) [12][1800/5005] lr: 1.0000e-01 eta: 2 days, 4:48:03 time: 0.4210 data_time: 0.0019 loss: 2.1617 03/03 21:36:10 - mmengine - INFO - Epoch(train) [12][1900/5005] lr: 1.0000e-01 eta: 2 days, 4:47:15 time: 0.4188 data_time: 0.0019 loss: 1.8939 03/03 21:36:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:36:52 - mmengine - INFO - Epoch(train) [12][2000/5005] lr: 1.0000e-01 eta: 2 days, 4:46:26 time: 0.4220 data_time: 0.0021 loss: 2.0308 03/03 21:37:34 - mmengine - INFO - Epoch(train) [12][2100/5005] lr: 1.0000e-01 eta: 2 days, 4:45:38 time: 0.4233 data_time: 0.0020 loss: 2.1534 03/03 21:38:16 - mmengine - INFO - Epoch(train) [12][2200/5005] lr: 1.0000e-01 eta: 2 days, 4:44:50 time: 0.4216 data_time: 0.0020 loss: 1.9618 03/03 21:38:59 - mmengine - INFO - Epoch(train) [12][2300/5005] lr: 1.0000e-01 eta: 2 days, 4:44:02 time: 0.4228 data_time: 0.0019 loss: 2.0257 03/03 21:39:41 - mmengine - INFO - Epoch(train) [12][2400/5005] lr: 1.0000e-01 eta: 2 days, 4:43:13 time: 0.4163 data_time: 0.0021 loss: 2.1331 03/03 21:40:23 - mmengine - INFO - Epoch(train) [12][2500/5005] lr: 1.0000e-01 eta: 2 days, 4:42:24 time: 0.4219 data_time: 0.0020 loss: 2.1114 03/03 21:41:05 - mmengine - INFO - Epoch(train) [12][2600/5005] lr: 1.0000e-01 eta: 2 days, 4:41:35 time: 0.4210 data_time: 0.0020 loss: 2.0814 03/03 21:41:47 - mmengine - INFO - Epoch(train) [12][2700/5005] lr: 1.0000e-01 eta: 2 days, 4:40:46 time: 0.4244 data_time: 0.0021 loss: 2.0188 03/03 21:42:29 - mmengine - INFO - Epoch(train) [12][2800/5005] lr: 1.0000e-01 eta: 2 days, 4:39:59 time: 0.4259 data_time: 0.0020 loss: 2.0260 03/03 21:43:11 - mmengine - INFO - Epoch(train) [12][2900/5005] lr: 1.0000e-01 eta: 2 days, 4:39:12 time: 0.4210 data_time: 0.0019 loss: 2.0765 03/03 21:43:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:43:54 - mmengine - INFO - Epoch(train) [12][3000/5005] lr: 1.0000e-01 eta: 2 days, 4:38:24 time: 0.4204 data_time: 0.0020 loss: 2.0995 03/03 21:44:36 - mmengine - INFO - Epoch(train) [12][3100/5005] lr: 1.0000e-01 eta: 2 days, 4:37:38 time: 0.4209 data_time: 0.0020 loss: 2.2437 03/03 21:45:18 - mmengine - INFO - Epoch(train) [12][3200/5005] lr: 1.0000e-01 eta: 2 days, 4:36:51 time: 0.4210 data_time: 0.0022 loss: 2.2694 03/03 21:46:01 - mmengine - INFO - Epoch(train) [12][3300/5005] lr: 1.0000e-01 eta: 2 days, 4:36:04 time: 0.4206 data_time: 0.0020 loss: 1.8248 03/03 21:46:43 - mmengine - INFO - Epoch(train) [12][3400/5005] lr: 1.0000e-01 eta: 2 days, 4:35:17 time: 0.4203 data_time: 0.0022 loss: 2.1974 03/03 21:47:25 - mmengine - INFO - Epoch(train) [12][3500/5005] lr: 1.0000e-01 eta: 2 days, 4:34:30 time: 0.4224 data_time: 0.0019 loss: 1.8812 03/03 21:48:08 - mmengine - INFO - Epoch(train) [12][3600/5005] lr: 1.0000e-01 eta: 2 days, 4:33:43 time: 0.4252 data_time: 0.0021 loss: 1.9829 03/03 21:48:50 - mmengine - INFO - Epoch(train) [12][3700/5005] lr: 1.0000e-01 eta: 2 days, 4:32:56 time: 0.4282 data_time: 0.0021 loss: 2.0477 03/03 21:49:32 - mmengine - INFO - Epoch(train) [12][3800/5005] lr: 1.0000e-01 eta: 2 days, 4:32:08 time: 0.4166 data_time: 0.0020 loss: 2.0064 03/03 21:50:14 - mmengine - INFO - Epoch(train) [12][3900/5005] lr: 1.0000e-01 eta: 2 days, 4:31:21 time: 0.4230 data_time: 0.0022 loss: 2.0815 03/03 21:50:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:50:56 - mmengine - INFO - Epoch(train) [12][4000/5005] lr: 1.0000e-01 eta: 2 days, 4:30:32 time: 0.4226 data_time: 0.0020 loss: 2.1587 03/03 21:51:38 - mmengine - INFO - Epoch(train) [12][4100/5005] lr: 1.0000e-01 eta: 2 days, 4:29:44 time: 0.4211 data_time: 0.0021 loss: 2.0597 03/03 21:52:20 - mmengine - INFO - Epoch(train) [12][4200/5005] lr: 1.0000e-01 eta: 2 days, 4:28:56 time: 0.4227 data_time: 0.0020 loss: 2.1608 03/03 21:53:03 - mmengine - INFO - Epoch(train) [12][4300/5005] lr: 1.0000e-01 eta: 2 days, 4:28:07 time: 0.4187 data_time: 0.0020 loss: 2.1140 03/03 21:53:45 - mmengine - INFO - Epoch(train) [12][4400/5005] lr: 1.0000e-01 eta: 2 days, 4:27:19 time: 0.4216 data_time: 0.0021 loss: 2.0836 03/03 21:54:27 - mmengine - INFO - Epoch(train) [12][4500/5005] lr: 1.0000e-01 eta: 2 days, 4:26:30 time: 0.4225 data_time: 0.0021 loss: 1.9559 03/03 21:55:09 - mmengine - INFO - Epoch(train) [12][4600/5005] lr: 1.0000e-01 eta: 2 days, 4:25:41 time: 0.4171 data_time: 0.0020 loss: 2.0792 03/03 21:55:51 - mmengine - INFO - Epoch(train) [12][4700/5005] lr: 1.0000e-01 eta: 2 days, 4:24:54 time: 0.4197 data_time: 0.0020 loss: 2.1887 03/03 21:56:33 - mmengine - INFO - Epoch(train) [12][4800/5005] lr: 1.0000e-01 eta: 2 days, 4:24:06 time: 0.4161 data_time: 0.0021 loss: 2.1558 03/03 21:57:15 - mmengine - INFO - Epoch(train) [12][4900/5005] lr: 1.0000e-01 eta: 2 days, 4:23:19 time: 0.4252 data_time: 0.0022 loss: 2.0586 03/03 21:57:34 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:57:57 - mmengine - INFO - Epoch(train) [12][5000/5005] lr: 1.0000e-01 eta: 2 days, 4:22:30 time: 0.4176 data_time: 0.0018 loss: 2.0466 03/03 21:57:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 21:58:00 - mmengine - INFO - Saving checkpoint at 12 epochs 03/03 21:58:12 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:00:08 time: 0.0271 data_time: 0.0004 03/03 21:58:25 - mmengine - INFO - Epoch(val) [12][196/196] accuracy/top1: 56.6040 accuracy/top5: 81.2320 03/03 21:59:11 - mmengine - INFO - Epoch(train) [13][ 100/5005] lr: 1.0000e-01 eta: 2 days, 4:22:05 time: 0.4205 data_time: 0.0027 loss: 2.0972 03/03 21:59:53 - mmengine - INFO - Epoch(train) [13][ 200/5005] lr: 1.0000e-01 eta: 2 days, 4:21:17 time: 0.4213 data_time: 0.0021 loss: 1.9118 03/03 22:00:35 - mmengine - INFO - Epoch(train) [13][ 300/5005] lr: 1.0000e-01 eta: 2 days, 4:20:30 time: 0.4227 data_time: 0.0022 loss: 2.0594 03/03 22:01:18 - mmengine - INFO - Epoch(train) [13][ 400/5005] lr: 1.0000e-01 eta: 2 days, 4:19:42 time: 0.4213 data_time: 0.0021 loss: 1.9824 03/03 22:02:00 - mmengine - INFO - Epoch(train) [13][ 500/5005] lr: 1.0000e-01 eta: 2 days, 4:18:55 time: 0.4191 data_time: 0.0022 loss: 2.0581 03/03 22:02:42 - mmengine - INFO - Epoch(train) [13][ 600/5005] lr: 1.0000e-01 eta: 2 days, 4:18:08 time: 0.4251 data_time: 0.0020 loss: 2.1771 03/03 22:03:24 - mmengine - INFO - Epoch(train) [13][ 700/5005] lr: 1.0000e-01 eta: 2 days, 4:17:20 time: 0.4160 data_time: 0.0020 loss: 1.9090 03/03 22:04:06 - mmengine - INFO - Epoch(train) [13][ 800/5005] lr: 1.0000e-01 eta: 2 days, 4:16:31 time: 0.4183 data_time: 0.0020 loss: 1.9310 03/03 22:04:48 - mmengine - INFO - Epoch(train) [13][ 900/5005] lr: 1.0000e-01 eta: 2 days, 4:15:44 time: 0.4239 data_time: 0.0020 loss: 2.2206 03/03 22:05:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:05:30 - mmengine - INFO - Epoch(train) [13][1000/5005] lr: 1.0000e-01 eta: 2 days, 4:14:56 time: 0.4202 data_time: 0.0021 loss: 1.9692 03/03 22:06:12 - mmengine - INFO - Epoch(train) [13][1100/5005] lr: 1.0000e-01 eta: 2 days, 4:14:08 time: 0.4189 data_time: 0.0022 loss: 1.8622 03/03 22:06:55 - mmengine - INFO - Epoch(train) [13][1200/5005] lr: 1.0000e-01 eta: 2 days, 4:13:20 time: 0.4190 data_time: 0.0021 loss: 2.1273 03/03 22:07:37 - mmengine - INFO - Epoch(train) [13][1300/5005] lr: 1.0000e-01 eta: 2 days, 4:12:31 time: 0.4222 data_time: 0.0021 loss: 1.8878 03/03 22:08:19 - mmengine - INFO - Epoch(train) [13][1400/5005] lr: 1.0000e-01 eta: 2 days, 4:11:44 time: 0.4175 data_time: 0.0021 loss: 2.1145 03/03 22:09:01 - mmengine - INFO - Epoch(train) [13][1500/5005] lr: 1.0000e-01 eta: 2 days, 4:10:55 time: 0.4205 data_time: 0.0021 loss: 1.8794 03/03 22:09:43 - mmengine - INFO - Epoch(train) [13][1600/5005] lr: 1.0000e-01 eta: 2 days, 4:10:07 time: 0.4243 data_time: 0.0020 loss: 2.1727 03/03 22:10:25 - mmengine - INFO - Epoch(train) [13][1700/5005] lr: 1.0000e-01 eta: 2 days, 4:09:17 time: 0.4175 data_time: 0.0020 loss: 1.9951 03/03 22:11:07 - mmengine - INFO - Epoch(train) [13][1800/5005] lr: 1.0000e-01 eta: 2 days, 4:08:28 time: 0.4275 data_time: 0.0020 loss: 2.1539 03/03 22:11:49 - mmengine - INFO - Epoch(train) [13][1900/5005] lr: 1.0000e-01 eta: 2 days, 4:07:40 time: 0.4218 data_time: 0.0020 loss: 2.0494 03/03 22:12:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:12:31 - mmengine - INFO - Epoch(train) [13][2000/5005] lr: 1.0000e-01 eta: 2 days, 4:06:52 time: 0.4231 data_time: 0.0020 loss: 1.9740 03/03 22:13:13 - mmengine - INFO - Epoch(train) [13][2100/5005] lr: 1.0000e-01 eta: 2 days, 4:06:04 time: 0.4225 data_time: 0.0020 loss: 2.1963 03/03 22:13:55 - mmengine - INFO - Epoch(train) [13][2200/5005] lr: 1.0000e-01 eta: 2 days, 4:05:16 time: 0.4204 data_time: 0.0020 loss: 2.0656 03/03 22:14:37 - mmengine - INFO - Epoch(train) [13][2300/5005] lr: 1.0000e-01 eta: 2 days, 4:04:28 time: 0.4221 data_time: 0.0020 loss: 2.0220 03/03 22:15:19 - mmengine - INFO - Epoch(train) [13][2400/5005] lr: 1.0000e-01 eta: 2 days, 4:03:40 time: 0.4231 data_time: 0.0021 loss: 2.0350 03/03 22:16:01 - mmengine - INFO - Epoch(train) [13][2500/5005] lr: 1.0000e-01 eta: 2 days, 4:02:53 time: 0.4194 data_time: 0.0020 loss: 1.9654 03/03 22:16:43 - mmengine - INFO - Epoch(train) [13][2600/5005] lr: 1.0000e-01 eta: 2 days, 4:02:06 time: 0.4215 data_time: 0.0020 loss: 2.3602 03/03 22:17:25 - mmengine - INFO - Epoch(train) [13][2700/5005] lr: 1.0000e-01 eta: 2 days, 4:01:18 time: 0.4217 data_time: 0.0020 loss: 1.9115 03/03 22:18:08 - mmengine - INFO - Epoch(train) [13][2800/5005] lr: 1.0000e-01 eta: 2 days, 4:00:33 time: 0.4216 data_time: 0.0021 loss: 2.1312 03/03 22:18:50 - mmengine - INFO - Epoch(train) [13][2900/5005] lr: 1.0000e-01 eta: 2 days, 3:59:45 time: 0.4207 data_time: 0.0020 loss: 2.1319 03/03 22:19:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:19:32 - mmengine - INFO - Epoch(train) [13][3000/5005] lr: 1.0000e-01 eta: 2 days, 3:58:57 time: 0.4199 data_time: 0.0020 loss: 1.9064 03/03 22:20:14 - mmengine - INFO - Epoch(train) [13][3100/5005] lr: 1.0000e-01 eta: 2 days, 3:58:09 time: 0.4218 data_time: 0.0021 loss: 1.9456 03/03 22:20:56 - mmengine - INFO - Epoch(train) [13][3200/5005] lr: 1.0000e-01 eta: 2 days, 3:57:21 time: 0.4150 data_time: 0.0021 loss: 1.9489 03/03 22:21:38 - mmengine - INFO - Epoch(train) [13][3300/5005] lr: 1.0000e-01 eta: 2 days, 3:56:33 time: 0.4174 data_time: 0.0019 loss: 1.9789 03/03 22:22:20 - mmengine - INFO - Epoch(train) [13][3400/5005] lr: 1.0000e-01 eta: 2 days, 3:55:45 time: 0.4246 data_time: 0.0021 loss: 1.8821 03/03 22:23:02 - mmengine - INFO - Epoch(train) [13][3500/5005] lr: 1.0000e-01 eta: 2 days, 3:54:58 time: 0.4234 data_time: 0.0020 loss: 2.0176 03/03 22:23:45 - mmengine - INFO - Epoch(train) [13][3600/5005] lr: 1.0000e-01 eta: 2 days, 3:54:11 time: 0.4225 data_time: 0.0022 loss: 2.0093 03/03 22:24:27 - mmengine - INFO - Epoch(train) [13][3700/5005] lr: 1.0000e-01 eta: 2 days, 3:53:24 time: 0.4191 data_time: 0.0021 loss: 2.1722 03/03 22:25:09 - mmengine - INFO - Epoch(train) [13][3800/5005] lr: 1.0000e-01 eta: 2 days, 3:52:38 time: 0.4177 data_time: 0.0020 loss: 2.0965 03/03 22:25:51 - mmengine - INFO - Epoch(train) [13][3900/5005] lr: 1.0000e-01 eta: 2 days, 3:51:51 time: 0.4207 data_time: 0.0020 loss: 2.0383 03/03 22:26:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:26:33 - mmengine - INFO - Epoch(train) [13][4000/5005] lr: 1.0000e-01 eta: 2 days, 3:51:03 time: 0.4183 data_time: 0.0021 loss: 2.1364 03/03 22:27:15 - mmengine - INFO - Epoch(train) [13][4100/5005] lr: 1.0000e-01 eta: 2 days, 3:50:16 time: 0.4217 data_time: 0.0021 loss: 1.9271 03/03 22:27:57 - mmengine - INFO - Epoch(train) [13][4200/5005] lr: 1.0000e-01 eta: 2 days, 3:49:28 time: 0.4193 data_time: 0.0020 loss: 2.0433 03/03 22:28:40 - mmengine - INFO - Epoch(train) [13][4300/5005] lr: 1.0000e-01 eta: 2 days, 3:48:41 time: 0.4176 data_time: 0.0020 loss: 2.2656 03/03 22:29:22 - mmengine - INFO - Epoch(train) [13][4400/5005] lr: 1.0000e-01 eta: 2 days, 3:47:53 time: 0.4194 data_time: 0.0020 loss: 2.0852 03/03 22:30:04 - mmengine - INFO - Epoch(train) [13][4500/5005] lr: 1.0000e-01 eta: 2 days, 3:47:05 time: 0.4243 data_time: 0.0020 loss: 2.2628 03/03 22:30:46 - mmengine - INFO - Epoch(train) [13][4600/5005] lr: 1.0000e-01 eta: 2 days, 3:46:18 time: 0.4188 data_time: 0.0021 loss: 2.2541 03/03 22:31:28 - mmengine - INFO - Epoch(train) [13][4700/5005] lr: 1.0000e-01 eta: 2 days, 3:45:32 time: 0.4244 data_time: 0.0021 loss: 2.3475 03/03 22:32:10 - mmengine - INFO - Epoch(train) [13][4800/5005] lr: 1.0000e-01 eta: 2 days, 3:44:45 time: 0.4219 data_time: 0.0021 loss: 2.1863 03/03 22:32:52 - mmengine - INFO - Epoch(train) [13][4900/5005] lr: 1.0000e-01 eta: 2 days, 3:43:59 time: 0.4222 data_time: 0.0020 loss: 1.9973 03/03 22:33:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:33:34 - mmengine - INFO - Epoch(train) [13][5000/5005] lr: 1.0000e-01 eta: 2 days, 3:43:12 time: 0.4195 data_time: 0.0019 loss: 2.1497 03/03 22:33:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:33:37 - mmengine - INFO - Saving checkpoint at 13 epochs 03/03 22:33:49 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:00:09 time: 0.0299 data_time: 0.0005 03/03 22:34:03 - mmengine - INFO - Epoch(val) [13][196/196] accuracy/top1: 57.1660 accuracy/top5: 82.0180 03/03 22:34:49 - mmengine - INFO - Epoch(train) [14][ 100/5005] lr: 1.0000e-01 eta: 2 days, 3:42:45 time: 0.4267 data_time: 0.0022 loss: 2.0153 03/03 22:35:31 - mmengine - INFO - Epoch(train) [14][ 200/5005] lr: 1.0000e-01 eta: 2 days, 3:41:58 time: 0.4270 data_time: 0.0022 loss: 2.2935 03/03 22:36:13 - mmengine - INFO - Epoch(train) [14][ 300/5005] lr: 1.0000e-01 eta: 2 days, 3:41:12 time: 0.4212 data_time: 0.0020 loss: 2.1633 03/03 22:36:55 - mmengine - INFO - Epoch(train) [14][ 400/5005] lr: 1.0000e-01 eta: 2 days, 3:40:24 time: 0.4215 data_time: 0.0020 loss: 2.0021 03/03 22:37:37 - mmengine - INFO - Epoch(train) [14][ 500/5005] lr: 1.0000e-01 eta: 2 days, 3:39:38 time: 0.4216 data_time: 0.0021 loss: 2.1098 03/03 22:38:20 - mmengine - INFO - Epoch(train) [14][ 600/5005] lr: 1.0000e-01 eta: 2 days, 3:38:52 time: 0.4185 data_time: 0.0021 loss: 2.2112 03/03 22:39:02 - mmengine - INFO - Epoch(train) [14][ 700/5005] lr: 1.0000e-01 eta: 2 days, 3:38:04 time: 0.4195 data_time: 0.0022 loss: 2.2019 03/03 22:39:44 - mmengine - INFO - Epoch(train) [14][ 800/5005] lr: 1.0000e-01 eta: 2 days, 3:37:16 time: 0.4210 data_time: 0.0020 loss: 2.0476 03/03 22:40:26 - mmengine - INFO - Epoch(train) [14][ 900/5005] lr: 1.0000e-01 eta: 2 days, 3:36:30 time: 0.4239 data_time: 0.0020 loss: 2.1552 03/03 22:40:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:41:08 - mmengine - INFO - Epoch(train) [14][1000/5005] lr: 1.0000e-01 eta: 2 days, 3:35:45 time: 0.4245 data_time: 0.0022 loss: 1.7098 03/03 22:41:50 - mmengine - INFO - Epoch(train) [14][1100/5005] lr: 1.0000e-01 eta: 2 days, 3:34:58 time: 0.4219 data_time: 0.0019 loss: 2.0206 03/03 22:42:33 - mmengine - INFO - Epoch(train) [14][1200/5005] lr: 1.0000e-01 eta: 2 days, 3:34:12 time: 0.4213 data_time: 0.0021 loss: 1.8148 03/03 22:43:15 - mmengine - INFO - Epoch(train) [14][1300/5005] lr: 1.0000e-01 eta: 2 days, 3:33:28 time: 0.4218 data_time: 0.0020 loss: 2.0345 03/03 22:43:57 - mmengine - INFO - Epoch(train) [14][1400/5005] lr: 1.0000e-01 eta: 2 days, 3:32:40 time: 0.4231 data_time: 0.0019 loss: 2.1294 03/03 22:44:39 - mmengine - INFO - Epoch(train) [14][1500/5005] lr: 1.0000e-01 eta: 2 days, 3:31:53 time: 0.4196 data_time: 0.0021 loss: 2.3542 03/03 22:45:21 - mmengine - INFO - Epoch(train) [14][1600/5005] lr: 1.0000e-01 eta: 2 days, 3:31:05 time: 0.4204 data_time: 0.0020 loss: 2.1821 03/03 22:46:03 - mmengine - INFO - Epoch(train) [14][1700/5005] lr: 1.0000e-01 eta: 2 days, 3:30:18 time: 0.4181 data_time: 0.0024 loss: 2.3353 03/03 22:46:45 - mmengine - INFO - Epoch(train) [14][1800/5005] lr: 1.0000e-01 eta: 2 days, 3:29:31 time: 0.4204 data_time: 0.0020 loss: 2.0273 03/03 22:47:28 - mmengine - INFO - Epoch(train) [14][1900/5005] lr: 1.0000e-01 eta: 2 days, 3:28:44 time: 0.4193 data_time: 0.0020 loss: 2.1490 03/03 22:47:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:48:10 - mmengine - INFO - Epoch(train) [14][2000/5005] lr: 1.0000e-01 eta: 2 days, 3:27:57 time: 0.4225 data_time: 0.0021 loss: 1.9059 03/03 22:48:52 - mmengine - INFO - Epoch(train) [14][2100/5005] lr: 1.0000e-01 eta: 2 days, 3:27:09 time: 0.4132 data_time: 0.0021 loss: 1.9544 03/03 22:49:34 - mmengine - INFO - Epoch(train) [14][2200/5005] lr: 1.0000e-01 eta: 2 days, 3:26:21 time: 0.4186 data_time: 0.0020 loss: 2.0975 03/03 22:50:16 - mmengine - INFO - Epoch(train) [14][2300/5005] lr: 1.0000e-01 eta: 2 days, 3:25:34 time: 0.4228 data_time: 0.0020 loss: 2.0073 03/03 22:50:58 - mmengine - INFO - Epoch(train) [14][2400/5005] lr: 1.0000e-01 eta: 2 days, 3:24:48 time: 0.4243 data_time: 0.0020 loss: 1.9875 03/03 22:51:40 - mmengine - INFO - Epoch(train) [14][2500/5005] lr: 1.0000e-01 eta: 2 days, 3:24:02 time: 0.4215 data_time: 0.0022 loss: 2.2866 03/03 22:52:22 - mmengine - INFO - Epoch(train) [14][2600/5005] lr: 1.0000e-01 eta: 2 days, 3:23:15 time: 0.4259 data_time: 0.0021 loss: 1.8720 03/03 22:53:05 - mmengine - INFO - Epoch(train) [14][2700/5005] lr: 1.0000e-01 eta: 2 days, 3:22:29 time: 0.4235 data_time: 0.0021 loss: 2.1167 03/03 22:53:47 - mmengine - INFO - Epoch(train) [14][2800/5005] lr: 1.0000e-01 eta: 2 days, 3:21:44 time: 0.4172 data_time: 0.0020 loss: 1.7920 03/03 22:54:29 - mmengine - INFO - Epoch(train) [14][2900/5005] lr: 1.0000e-01 eta: 2 days, 3:20:59 time: 0.4289 data_time: 0.0021 loss: 2.1680 03/03 22:54:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 22:55:12 - mmengine - INFO - Epoch(train) [14][3000/5005] lr: 1.0000e-01 eta: 2 days, 3:20:12 time: 0.4219 data_time: 0.0022 loss: 2.2335 03/03 22:55:54 - mmengine - INFO - Epoch(train) [14][3100/5005] lr: 1.0000e-01 eta: 2 days, 3:19:26 time: 0.4274 data_time: 0.0021 loss: 2.0147 03/03 22:56:36 - mmengine - INFO - Epoch(train) [14][3200/5005] lr: 1.0000e-01 eta: 2 days, 3:18:39 time: 0.4194 data_time: 0.0020 loss: 2.1645 03/03 22:57:18 - mmengine - INFO - Epoch(train) [14][3300/5005] lr: 1.0000e-01 eta: 2 days, 3:17:52 time: 0.4190 data_time: 0.0020 loss: 1.9266 03/03 22:58:00 - mmengine - INFO - Epoch(train) [14][3400/5005] lr: 1.0000e-01 eta: 2 days, 3:17:05 time: 0.4206 data_time: 0.0020 loss: 2.0034 03/03 22:58:42 - mmengine - INFO - Epoch(train) [14][3500/5005] lr: 1.0000e-01 eta: 2 days, 3:16:18 time: 0.4207 data_time: 0.0021 loss: 2.0885 03/03 22:59:24 - mmengine - INFO - Epoch(train) [14][3600/5005] lr: 1.0000e-01 eta: 2 days, 3:15:32 time: 0.4257 data_time: 0.0020 loss: 2.0962 03/03 23:00:07 - mmengine - INFO - Epoch(train) [14][3700/5005] lr: 1.0000e-01 eta: 2 days, 3:14:46 time: 0.4191 data_time: 0.0020 loss: 1.8949 03/03 23:00:49 - mmengine - INFO - Epoch(train) [14][3800/5005] lr: 1.0000e-01 eta: 2 days, 3:13:59 time: 0.4210 data_time: 0.0020 loss: 1.8928 03/03 23:01:31 - mmengine - INFO - Epoch(train) [14][3900/5005] lr: 1.0000e-01 eta: 2 days, 3:13:13 time: 0.4261 data_time: 0.0020 loss: 2.0459 03/03 23:01:46 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:02:13 - mmengine - INFO - Epoch(train) [14][4000/5005] lr: 1.0000e-01 eta: 2 days, 3:12:28 time: 0.4209 data_time: 0.0020 loss: 2.0079 03/03 23:02:55 - mmengine - INFO - Epoch(train) [14][4100/5005] lr: 1.0000e-01 eta: 2 days, 3:11:42 time: 0.4168 data_time: 0.0021 loss: 2.1740 03/03 23:03:38 - mmengine - INFO - Epoch(train) [14][4200/5005] lr: 1.0000e-01 eta: 2 days, 3:10:56 time: 0.4229 data_time: 0.0022 loss: 1.9466 03/03 23:04:20 - mmengine - INFO - Epoch(train) [14][4300/5005] lr: 1.0000e-01 eta: 2 days, 3:10:10 time: 0.4204 data_time: 0.0022 loss: 2.2921 03/03 23:05:02 - mmengine - INFO - Epoch(train) [14][4400/5005] lr: 1.0000e-01 eta: 2 days, 3:09:23 time: 0.4224 data_time: 0.0021 loss: 1.9044 03/03 23:05:44 - mmengine - INFO - Epoch(train) [14][4500/5005] lr: 1.0000e-01 eta: 2 days, 3:08:36 time: 0.4179 data_time: 0.0019 loss: 2.1588 03/03 23:06:26 - mmengine - INFO - Epoch(train) [14][4600/5005] lr: 1.0000e-01 eta: 2 days, 3:07:50 time: 0.4207 data_time: 0.0021 loss: 2.2351 03/03 23:07:08 - mmengine - INFO - Epoch(train) [14][4700/5005] lr: 1.0000e-01 eta: 2 days, 3:07:02 time: 0.4204 data_time: 0.0020 loss: 2.2013 03/03 23:07:50 - mmengine - INFO - Epoch(train) [14][4800/5005] lr: 1.0000e-01 eta: 2 days, 3:06:16 time: 0.4239 data_time: 0.0020 loss: 2.1483 03/03 23:08:32 - mmengine - INFO - Epoch(train) [14][4900/5005] lr: 1.0000e-01 eta: 2 days, 3:05:29 time: 0.4201 data_time: 0.0021 loss: 2.1747 03/03 23:08:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:09:14 - mmengine - INFO - Epoch(train) [14][5000/5005] lr: 1.0000e-01 eta: 2 days, 3:04:42 time: 0.4171 data_time: 0.0019 loss: 2.1185 03/03 23:09:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:09:17 - mmengine - INFO - Saving checkpoint at 14 epochs 03/03 23:09:29 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:00:09 time: 0.0296 data_time: 0.0005 03/03 23:09:43 - mmengine - INFO - Epoch(val) [14][196/196] accuracy/top1: 59.3060 accuracy/top5: 83.3820 03/03 23:10:28 - mmengine - INFO - Epoch(train) [15][ 100/5005] lr: 1.0000e-01 eta: 2 days, 3:04:12 time: 0.4192 data_time: 0.0022 loss: 2.0819 03/03 23:11:10 - mmengine - INFO - Epoch(train) [15][ 200/5005] lr: 1.0000e-01 eta: 2 days, 3:03:26 time: 0.4164 data_time: 0.0024 loss: 2.0553 03/03 23:11:53 - mmengine - INFO - Epoch(train) [15][ 300/5005] lr: 1.0000e-01 eta: 2 days, 3:02:40 time: 0.4185 data_time: 0.0020 loss: 2.3462 03/03 23:12:35 - mmengine - INFO - Epoch(train) [15][ 400/5005] lr: 1.0000e-01 eta: 2 days, 3:01:55 time: 0.4232 data_time: 0.0022 loss: 2.0214 03/03 23:13:17 - mmengine - INFO - Epoch(train) [15][ 500/5005] lr: 1.0000e-01 eta: 2 days, 3:01:08 time: 0.4220 data_time: 0.0022 loss: 2.1466 03/03 23:13:59 - mmengine - INFO - Epoch(train) [15][ 600/5005] lr: 1.0000e-01 eta: 2 days, 3:00:21 time: 0.4222 data_time: 0.0021 loss: 2.1523 03/03 23:14:41 - mmengine - INFO - Epoch(train) [15][ 700/5005] lr: 1.0000e-01 eta: 2 days, 2:59:34 time: 0.4191 data_time: 0.0022 loss: 2.0579 03/03 23:15:23 - mmengine - INFO - Epoch(train) [15][ 800/5005] lr: 1.0000e-01 eta: 2 days, 2:58:48 time: 0.4195 data_time: 0.0020 loss: 2.1225 03/03 23:16:05 - mmengine - INFO - Epoch(train) [15][ 900/5005] lr: 1.0000e-01 eta: 2 days, 2:58:01 time: 0.4187 data_time: 0.0021 loss: 1.9460 03/03 23:16:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:16:48 - mmengine - INFO - Epoch(train) [15][1000/5005] lr: 1.0000e-01 eta: 2 days, 2:57:15 time: 0.4220 data_time: 0.0022 loss: 2.0597 03/03 23:17:30 - mmengine - INFO - Epoch(train) [15][1100/5005] lr: 1.0000e-01 eta: 2 days, 2:56:28 time: 0.4200 data_time: 0.0022 loss: 1.9018 03/03 23:18:12 - mmengine - INFO - Epoch(train) [15][1200/5005] lr: 1.0000e-01 eta: 2 days, 2:55:41 time: 0.4248 data_time: 0.0022 loss: 2.0205 03/03 23:18:54 - mmengine - INFO - Epoch(train) [15][1300/5005] lr: 1.0000e-01 eta: 2 days, 2:54:54 time: 0.4191 data_time: 0.0021 loss: 2.0036 03/03 23:19:36 - mmengine - INFO - Epoch(train) [15][1400/5005] lr: 1.0000e-01 eta: 2 days, 2:54:08 time: 0.4214 data_time: 0.0020 loss: 2.0765 03/03 23:20:18 - mmengine - INFO - Epoch(train) [15][1500/5005] lr: 1.0000e-01 eta: 2 days, 2:53:22 time: 0.4236 data_time: 0.0020 loss: 2.0084 03/03 23:21:00 - mmengine - INFO - Epoch(train) [15][1600/5005] lr: 1.0000e-01 eta: 2 days, 2:52:36 time: 0.4240 data_time: 0.0021 loss: 2.2403 03/03 23:21:42 - mmengine - INFO - Epoch(train) [15][1700/5005] lr: 1.0000e-01 eta: 2 days, 2:51:50 time: 0.4201 data_time: 0.0021 loss: 1.8729 03/03 23:22:25 - mmengine - INFO - Epoch(train) [15][1800/5005] lr: 1.0000e-01 eta: 2 days, 2:51:04 time: 0.4199 data_time: 0.0021 loss: 1.7419 03/03 23:23:07 - mmengine - INFO - Epoch(train) [15][1900/5005] lr: 1.0000e-01 eta: 2 days, 2:50:17 time: 0.4232 data_time: 0.0022 loss: 2.1034 03/03 23:23:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:23:49 - mmengine - INFO - Epoch(train) [15][2000/5005] lr: 1.0000e-01 eta: 2 days, 2:49:32 time: 0.4266 data_time: 0.0021 loss: 2.0056 03/03 23:24:31 - mmengine - INFO - Epoch(train) [15][2100/5005] lr: 1.0000e-01 eta: 2 days, 2:48:45 time: 0.4180 data_time: 0.0020 loss: 1.9248 03/03 23:25:13 - mmengine - INFO - Epoch(train) [15][2200/5005] lr: 1.0000e-01 eta: 2 days, 2:47:58 time: 0.4216 data_time: 0.0020 loss: 2.0227 03/03 23:25:55 - mmengine - INFO - Epoch(train) [15][2300/5005] lr: 1.0000e-01 eta: 2 days, 2:47:12 time: 0.4225 data_time: 0.0022 loss: 2.1922 03/03 23:26:37 - mmengine - INFO - Epoch(train) [15][2400/5005] lr: 1.0000e-01 eta: 2 days, 2:46:26 time: 0.4289 data_time: 0.0021 loss: 2.1359 03/03 23:27:20 - mmengine - INFO - Epoch(train) [15][2500/5005] lr: 1.0000e-01 eta: 2 days, 2:45:41 time: 0.4222 data_time: 0.0021 loss: 2.1096 03/03 23:28:02 - mmengine - INFO - Epoch(train) [15][2600/5005] lr: 1.0000e-01 eta: 2 days, 2:44:56 time: 0.4201 data_time: 0.0021 loss: 2.1559 03/03 23:28:44 - mmengine - INFO - Epoch(train) [15][2700/5005] lr: 1.0000e-01 eta: 2 days, 2:44:10 time: 0.4223 data_time: 0.0022 loss: 1.8897 03/03 23:29:26 - mmengine - INFO - Epoch(train) [15][2800/5005] lr: 1.0000e-01 eta: 2 days, 2:43:23 time: 0.4228 data_time: 0.0022 loss: 1.9251 03/03 23:30:08 - mmengine - INFO - Epoch(train) [15][2900/5005] lr: 1.0000e-01 eta: 2 days, 2:42:38 time: 0.4260 data_time: 0.0022 loss: 2.0761 03/03 23:30:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:30:50 - mmengine - INFO - Epoch(train) [15][3000/5005] lr: 1.0000e-01 eta: 2 days, 2:41:51 time: 0.4219 data_time: 0.0020 loss: 2.0484 03/03 23:31:32 - mmengine - INFO - Epoch(train) [15][3100/5005] lr: 1.0000e-01 eta: 2 days, 2:41:05 time: 0.4194 data_time: 0.0020 loss: 2.2300 03/03 23:32:15 - mmengine - INFO - Epoch(train) [15][3200/5005] lr: 1.0000e-01 eta: 2 days, 2:40:19 time: 0.4204 data_time: 0.0021 loss: 1.9968 03/03 23:32:57 - mmengine - INFO - Epoch(train) [15][3300/5005] lr: 1.0000e-01 eta: 2 days, 2:39:33 time: 0.4170 data_time: 0.0021 loss: 2.0409 03/03 23:33:39 - mmengine - INFO - Epoch(train) [15][3400/5005] lr: 1.0000e-01 eta: 2 days, 2:38:48 time: 0.4247 data_time: 0.0021 loss: 2.1422 03/03 23:34:21 - mmengine - INFO - Epoch(train) [15][3500/5005] lr: 1.0000e-01 eta: 2 days, 2:38:02 time: 0.4238 data_time: 0.0022 loss: 1.9493 03/03 23:35:03 - mmengine - INFO - Epoch(train) [15][3600/5005] lr: 1.0000e-01 eta: 2 days, 2:37:15 time: 0.4240 data_time: 0.0022 loss: 1.9066 03/03 23:35:45 - mmengine - INFO - Epoch(train) [15][3700/5005] lr: 1.0000e-01 eta: 2 days, 2:36:28 time: 0.4209 data_time: 0.0022 loss: 2.1050 03/03 23:36:27 - mmengine - INFO - Epoch(train) [15][3800/5005] lr: 1.0000e-01 eta: 2 days, 2:35:42 time: 0.4171 data_time: 0.0022 loss: 1.9562 03/03 23:37:10 - mmengine - INFO - Epoch(train) [15][3900/5005] lr: 1.0000e-01 eta: 2 days, 2:34:56 time: 0.4209 data_time: 0.0020 loss: 2.0370 03/03 23:37:22 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:37:52 - mmengine - INFO - Epoch(train) [15][4000/5005] lr: 1.0000e-01 eta: 2 days, 2:34:10 time: 0.4227 data_time: 0.0022 loss: 1.9706 03/03 23:38:34 - mmengine - INFO - Epoch(train) [15][4100/5005] lr: 1.0000e-01 eta: 2 days, 2:33:24 time: 0.4233 data_time: 0.0020 loss: 2.0303 03/03 23:39:16 - mmengine - INFO - Epoch(train) [15][4200/5005] lr: 1.0000e-01 eta: 2 days, 2:32:36 time: 0.4178 data_time: 0.0020 loss: 2.0546 03/03 23:39:58 - mmengine - INFO - Epoch(train) [15][4300/5005] lr: 1.0000e-01 eta: 2 days, 2:31:50 time: 0.4189 data_time: 0.0021 loss: 2.0183 03/03 23:40:40 - mmengine - INFO - Epoch(train) [15][4400/5005] lr: 1.0000e-01 eta: 2 days, 2:31:04 time: 0.4239 data_time: 0.0021 loss: 1.9064 03/03 23:41:22 - mmengine - INFO - Epoch(train) [15][4500/5005] lr: 1.0000e-01 eta: 2 days, 2:30:17 time: 0.4155 data_time: 0.0021 loss: 2.1389 03/03 23:42:04 - mmengine - INFO - Epoch(train) [15][4600/5005] lr: 1.0000e-01 eta: 2 days, 2:29:31 time: 0.4209 data_time: 0.0022 loss: 2.0512 03/03 23:42:46 - mmengine - INFO - Epoch(train) [15][4700/5005] lr: 1.0000e-01 eta: 2 days, 2:28:45 time: 0.4130 data_time: 0.0021 loss: 2.0224 03/03 23:43:29 - mmengine - INFO - Epoch(train) [15][4800/5005] lr: 1.0000e-01 eta: 2 days, 2:28:01 time: 0.4241 data_time: 0.0021 loss: 2.2744 03/03 23:44:11 - mmengine - INFO - Epoch(train) [15][4900/5005] lr: 1.0000e-01 eta: 2 days, 2:27:17 time: 0.4319 data_time: 0.0021 loss: 1.8737 03/03 23:44:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:44:53 - mmengine - INFO - Epoch(train) [15][5000/5005] lr: 1.0000e-01 eta: 2 days, 2:26:31 time: 0.4171 data_time: 0.0019 loss: 2.1006 03/03 23:44:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:44:56 - mmengine - INFO - Saving checkpoint at 15 epochs 03/03 23:45:08 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:00:08 time: 0.0295 data_time: 0.0004 03/03 23:45:21 - mmengine - INFO - Epoch(val) [15][196/196] accuracy/top1: 57.8640 accuracy/top5: 82.1600 03/03 23:46:06 - mmengine - INFO - Epoch(train) [16][ 100/5005] lr: 1.0000e-01 eta: 2 days, 2:25:59 time: 0.4258 data_time: 0.0020 loss: 2.0550 03/03 23:46:49 - mmengine - INFO - Epoch(train) [16][ 200/5005] lr: 1.0000e-01 eta: 2 days, 2:25:18 time: 0.4207 data_time: 0.0022 loss: 2.1832 03/03 23:47:32 - mmengine - INFO - Epoch(train) [16][ 300/5005] lr: 1.0000e-01 eta: 2 days, 2:24:33 time: 0.4212 data_time: 0.0023 loss: 2.1680 03/03 23:48:14 - mmengine - INFO - Epoch(train) [16][ 400/5005] lr: 1.0000e-01 eta: 2 days, 2:23:46 time: 0.4183 data_time: 0.0020 loss: 2.1206 03/03 23:48:56 - mmengine - INFO - Epoch(train) [16][ 500/5005] lr: 1.0000e-01 eta: 2 days, 2:23:01 time: 0.4209 data_time: 0.0021 loss: 2.1419 03/03 23:49:38 - mmengine - INFO - Epoch(train) [16][ 600/5005] lr: 1.0000e-01 eta: 2 days, 2:22:15 time: 0.4173 data_time: 0.0021 loss: 2.0226 03/03 23:50:20 - mmengine - INFO - Epoch(train) [16][ 700/5005] lr: 1.0000e-01 eta: 2 days, 2:21:29 time: 0.4257 data_time: 0.0021 loss: 1.8951 03/03 23:51:02 - mmengine - INFO - Epoch(train) [16][ 800/5005] lr: 1.0000e-01 eta: 2 days, 2:20:43 time: 0.4193 data_time: 0.0021 loss: 1.8599 03/03 23:51:45 - mmengine - INFO - Epoch(train) [16][ 900/5005] lr: 1.0000e-01 eta: 2 days, 2:19:58 time: 0.4236 data_time: 0.0022 loss: 2.0881 03/03 23:51:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:52:27 - mmengine - INFO - Epoch(train) [16][1000/5005] lr: 1.0000e-01 eta: 2 days, 2:19:12 time: 0.4173 data_time: 0.0020 loss: 1.9666 03/03 23:53:09 - mmengine - INFO - Epoch(train) [16][1100/5005] lr: 1.0000e-01 eta: 2 days, 2:18:26 time: 0.4193 data_time: 0.0021 loss: 2.1142 03/03 23:53:51 - mmengine - INFO - Epoch(train) [16][1200/5005] lr: 1.0000e-01 eta: 2 days, 2:17:40 time: 0.4210 data_time: 0.0021 loss: 2.0076 03/03 23:54:33 - mmengine - INFO - Epoch(train) [16][1300/5005] lr: 1.0000e-01 eta: 2 days, 2:16:54 time: 0.4217 data_time: 0.0021 loss: 1.9439 03/03 23:55:15 - mmengine - INFO - Epoch(train) [16][1400/5005] lr: 1.0000e-01 eta: 2 days, 2:16:09 time: 0.4226 data_time: 0.0022 loss: 1.8663 03/03 23:55:57 - mmengine - INFO - Epoch(train) [16][1500/5005] lr: 1.0000e-01 eta: 2 days, 2:15:24 time: 0.4182 data_time: 0.0021 loss: 1.8401 03/03 23:56:40 - mmengine - INFO - Epoch(train) [16][1600/5005] lr: 1.0000e-01 eta: 2 days, 2:14:38 time: 0.4209 data_time: 0.0024 loss: 2.1616 03/03 23:57:22 - mmengine - INFO - Epoch(train) [16][1700/5005] lr: 1.0000e-01 eta: 2 days, 2:13:52 time: 0.4240 data_time: 0.0021 loss: 2.2109 03/03 23:58:04 - mmengine - INFO - Epoch(train) [16][1800/5005] lr: 1.0000e-01 eta: 2 days, 2:13:06 time: 0.4191 data_time: 0.0020 loss: 1.9791 03/03 23:58:46 - mmengine - INFO - Epoch(train) [16][1900/5005] lr: 1.0000e-01 eta: 2 days, 2:12:21 time: 0.4238 data_time: 0.0019 loss: 2.0750 03/03 23:58:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/03 23:59:28 - mmengine - INFO - Epoch(train) [16][2000/5005] lr: 1.0000e-01 eta: 2 days, 2:11:35 time: 0.4183 data_time: 0.0021 loss: 2.0072 03/04 00:00:10 - mmengine - INFO - Epoch(train) [16][2100/5005] lr: 1.0000e-01 eta: 2 days, 2:10:50 time: 0.4218 data_time: 0.0021 loss: 2.0636 03/04 00:00:53 - mmengine - INFO - Epoch(train) [16][2200/5005] lr: 1.0000e-01 eta: 2 days, 2:10:05 time: 0.4181 data_time: 0.0021 loss: 2.0813 03/04 00:01:35 - mmengine - INFO - Epoch(train) [16][2300/5005] lr: 1.0000e-01 eta: 2 days, 2:09:21 time: 0.4334 data_time: 0.0021 loss: 1.8869 03/04 00:02:17 - mmengine - INFO - Epoch(train) [16][2400/5005] lr: 1.0000e-01 eta: 2 days, 2:08:36 time: 0.4204 data_time: 0.0021 loss: 2.0214 03/04 00:02:59 - mmengine - INFO - Epoch(train) [16][2500/5005] lr: 1.0000e-01 eta: 2 days, 2:07:50 time: 0.4215 data_time: 0.0020 loss: 1.9295 03/04 00:03:42 - mmengine - INFO - Epoch(train) [16][2600/5005] lr: 1.0000e-01 eta: 2 days, 2:07:05 time: 0.4208 data_time: 0.0022 loss: 2.2406 03/04 00:04:24 - mmengine - INFO - Epoch(train) [16][2700/5005] lr: 1.0000e-01 eta: 2 days, 2:06:20 time: 0.4236 data_time: 0.0021 loss: 2.1331 03/04 00:05:06 - mmengine - INFO - Epoch(train) [16][2800/5005] lr: 1.0000e-01 eta: 2 days, 2:05:35 time: 0.4185 data_time: 0.0022 loss: 2.0975 03/04 00:05:48 - mmengine - INFO - Epoch(train) [16][2900/5005] lr: 1.0000e-01 eta: 2 days, 2:04:49 time: 0.4202 data_time: 0.0020 loss: 1.8917 03/04 00:05:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:06:31 - mmengine - INFO - Epoch(train) [16][3000/5005] lr: 1.0000e-01 eta: 2 days, 2:04:04 time: 0.4287 data_time: 0.0022 loss: 2.0545 03/04 00:07:13 - mmengine - INFO - Epoch(train) [16][3100/5005] lr: 1.0000e-01 eta: 2 days, 2:03:18 time: 0.4192 data_time: 0.0021 loss: 2.0024 03/04 00:07:55 - mmengine - INFO - Epoch(train) [16][3200/5005] lr: 1.0000e-01 eta: 2 days, 2:02:33 time: 0.4244 data_time: 0.0023 loss: 2.1245 03/04 00:08:37 - mmengine - INFO - Epoch(train) [16][3300/5005] lr: 1.0000e-01 eta: 2 days, 2:01:47 time: 0.4203 data_time: 0.0020 loss: 1.9958 03/04 00:09:19 - mmengine - INFO - Epoch(train) [16][3400/5005] lr: 1.0000e-01 eta: 2 days, 2:01:01 time: 0.4220 data_time: 0.0022 loss: 1.9895 03/04 00:10:01 - mmengine - INFO - Epoch(train) [16][3500/5005] lr: 1.0000e-01 eta: 2 days, 2:00:17 time: 0.4249 data_time: 0.0021 loss: 2.1317 03/04 00:10:44 - mmengine - INFO - Epoch(train) [16][3600/5005] lr: 1.0000e-01 eta: 2 days, 1:59:31 time: 0.4256 data_time: 0.0021 loss: 1.8947 03/04 00:11:26 - mmengine - INFO - Epoch(train) [16][3700/5005] lr: 1.0000e-01 eta: 2 days, 1:58:46 time: 0.4219 data_time: 0.0021 loss: 2.0698 03/04 00:12:08 - mmengine - INFO - Epoch(train) [16][3800/5005] lr: 1.0000e-01 eta: 2 days, 1:58:00 time: 0.4161 data_time: 0.0020 loss: 2.1116 03/04 00:12:50 - mmengine - INFO - Epoch(train) [16][3900/5005] lr: 1.0000e-01 eta: 2 days, 1:57:14 time: 0.4244 data_time: 0.0021 loss: 2.1394 03/04 00:13:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:13:32 - mmengine - INFO - Epoch(train) [16][4000/5005] lr: 1.0000e-01 eta: 2 days, 1:56:29 time: 0.4210 data_time: 0.0021 loss: 1.7792 03/04 00:14:14 - mmengine - INFO - Epoch(train) [16][4100/5005] lr: 1.0000e-01 eta: 2 days, 1:55:44 time: 0.4207 data_time: 0.0021 loss: 1.8423 03/04 00:14:57 - mmengine - INFO - Epoch(train) [16][4200/5005] lr: 1.0000e-01 eta: 2 days, 1:54:59 time: 0.4197 data_time: 0.0022 loss: 2.0688 03/04 00:15:39 - mmengine - INFO - Epoch(train) [16][4300/5005] lr: 1.0000e-01 eta: 2 days, 1:54:14 time: 0.4194 data_time: 0.0021 loss: 2.0990 03/04 00:16:21 - mmengine - INFO - Epoch(train) [16][4400/5005] lr: 1.0000e-01 eta: 2 days, 1:53:29 time: 0.4216 data_time: 0.0022 loss: 2.1835 03/04 00:17:03 - mmengine - INFO - Epoch(train) [16][4500/5005] lr: 1.0000e-01 eta: 2 days, 1:52:44 time: 0.4195 data_time: 0.0021 loss: 2.0779 03/04 00:17:45 - mmengine - INFO - Epoch(train) [16][4600/5005] lr: 1.0000e-01 eta: 2 days, 1:51:58 time: 0.4231 data_time: 0.0021 loss: 2.1706 03/04 00:18:28 - mmengine - INFO - Epoch(train) [16][4700/5005] lr: 1.0000e-01 eta: 2 days, 1:51:13 time: 0.4185 data_time: 0.0022 loss: 2.0606 03/04 00:19:10 - mmengine - INFO - Epoch(train) [16][4800/5005] lr: 1.0000e-01 eta: 2 days, 1:50:28 time: 0.4237 data_time: 0.0021 loss: 1.8430 03/04 00:19:52 - mmengine - INFO - Epoch(train) [16][4900/5005] lr: 1.0000e-01 eta: 2 days, 1:49:43 time: 0.4212 data_time: 0.0021 loss: 1.8447 03/04 00:20:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:20:34 - mmengine - INFO - Epoch(train) [16][5000/5005] lr: 1.0000e-01 eta: 2 days, 1:48:58 time: 0.4224 data_time: 0.0020 loss: 2.2225 03/04 00:20:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:20:37 - mmengine - INFO - Saving checkpoint at 16 epochs 03/04 00:20:49 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:00:08 time: 0.0288 data_time: 0.0005 03/04 00:21:03 - mmengine - INFO - Epoch(val) [16][196/196] accuracy/top1: 57.2360 accuracy/top5: 81.7860 03/04 00:21:49 - mmengine - INFO - Epoch(train) [17][ 100/5005] lr: 1.0000e-01 eta: 2 days, 1:48:27 time: 0.4251 data_time: 0.0029 loss: 1.9599 03/04 00:22:31 - mmengine - INFO - Epoch(train) [17][ 200/5005] lr: 1.0000e-01 eta: 2 days, 1:47:43 time: 0.4235 data_time: 0.0021 loss: 1.9170 03/04 00:23:14 - mmengine - INFO - Epoch(train) [17][ 300/5005] lr: 1.0000e-01 eta: 2 days, 1:46:58 time: 0.4212 data_time: 0.0022 loss: 1.8200 03/04 00:23:56 - mmengine - INFO - Epoch(train) [17][ 400/5005] lr: 1.0000e-01 eta: 2 days, 1:46:13 time: 0.4247 data_time: 0.0021 loss: 2.1995 03/04 00:24:38 - mmengine - INFO - Epoch(train) [17][ 500/5005] lr: 1.0000e-01 eta: 2 days, 1:45:28 time: 0.4232 data_time: 0.0020 loss: 1.7136 03/04 00:25:20 - mmengine - INFO - Epoch(train) [17][ 600/5005] lr: 1.0000e-01 eta: 2 days, 1:44:43 time: 0.4210 data_time: 0.0023 loss: 1.8922 03/04 00:26:02 - mmengine - INFO - Epoch(train) [17][ 700/5005] lr: 1.0000e-01 eta: 2 days, 1:43:58 time: 0.4261 data_time: 0.0022 loss: 2.1249 03/04 00:26:44 - mmengine - INFO - Epoch(train) [17][ 800/5005] lr: 1.0000e-01 eta: 2 days, 1:43:11 time: 0.4227 data_time: 0.0021 loss: 1.9683 03/04 00:27:26 - mmengine - INFO - Epoch(train) [17][ 900/5005] lr: 1.0000e-01 eta: 2 days, 1:42:26 time: 0.4185 data_time: 0.0020 loss: 2.3387 03/04 00:27:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:28:09 - mmengine - INFO - Epoch(train) [17][1000/5005] lr: 1.0000e-01 eta: 2 days, 1:41:42 time: 0.4204 data_time: 0.0022 loss: 1.9427 03/04 00:28:51 - mmengine - INFO - Epoch(train) [17][1100/5005] lr: 1.0000e-01 eta: 2 days, 1:40:56 time: 0.4179 data_time: 0.0021 loss: 1.9918 03/04 00:29:33 - mmengine - INFO - Epoch(train) [17][1200/5005] lr: 1.0000e-01 eta: 2 days, 1:40:10 time: 0.4196 data_time: 0.0022 loss: 1.9814 03/04 00:30:15 - mmengine - INFO - Epoch(train) [17][1300/5005] lr: 1.0000e-01 eta: 2 days, 1:39:25 time: 0.4232 data_time: 0.0021 loss: 2.0509 03/04 00:30:57 - mmengine - INFO - Epoch(train) [17][1400/5005] lr: 1.0000e-01 eta: 2 days, 1:38:39 time: 0.4211 data_time: 0.0021 loss: 2.1379 03/04 00:31:39 - mmengine - INFO - Epoch(train) [17][1500/5005] lr: 1.0000e-01 eta: 2 days, 1:37:54 time: 0.4198 data_time: 0.0022 loss: 2.0606 03/04 00:32:22 - mmengine - INFO - Epoch(train) [17][1600/5005] lr: 1.0000e-01 eta: 2 days, 1:37:09 time: 0.4199 data_time: 0.0022 loss: 2.1657 03/04 00:33:04 - mmengine - INFO - Epoch(train) [17][1700/5005] lr: 1.0000e-01 eta: 2 days, 1:36:24 time: 0.4318 data_time: 0.0020 loss: 1.9079 03/04 00:33:46 - mmengine - INFO - Epoch(train) [17][1800/5005] lr: 1.0000e-01 eta: 2 days, 1:35:40 time: 0.4241 data_time: 0.0022 loss: 2.0852 03/04 00:34:28 - mmengine - INFO - Epoch(train) [17][1900/5005] lr: 1.0000e-01 eta: 2 days, 1:34:55 time: 0.4234 data_time: 0.0023 loss: 1.9523 03/04 00:34:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:35:11 - mmengine - INFO - Epoch(train) [17][2000/5005] lr: 1.0000e-01 eta: 2 days, 1:34:10 time: 0.4170 data_time: 0.0021 loss: 2.0383 03/04 00:35:53 - mmengine - INFO - Epoch(train) [17][2100/5005] lr: 1.0000e-01 eta: 2 days, 1:33:25 time: 0.4219 data_time: 0.0021 loss: 2.2243 03/04 00:36:35 - mmengine - INFO - Epoch(train) [17][2200/5005] lr: 1.0000e-01 eta: 2 days, 1:32:39 time: 0.4214 data_time: 0.0022 loss: 1.8301 03/04 00:37:17 - mmengine - INFO - Epoch(train) [17][2300/5005] lr: 1.0000e-01 eta: 2 days, 1:31:53 time: 0.4177 data_time: 0.0021 loss: 2.0652 03/04 00:37:59 - mmengine - INFO - Epoch(train) [17][2400/5005] lr: 1.0000e-01 eta: 2 days, 1:31:09 time: 0.4210 data_time: 0.0021 loss: 2.0364 03/04 00:38:41 - mmengine - INFO - Epoch(train) [17][2500/5005] lr: 1.0000e-01 eta: 2 days, 1:30:23 time: 0.4216 data_time: 0.0021 loss: 1.9108 03/04 00:39:24 - mmengine - INFO - Epoch(train) [17][2600/5005] lr: 1.0000e-01 eta: 2 days, 1:29:38 time: 0.4243 data_time: 0.0021 loss: 1.9435 03/04 00:40:06 - mmengine - INFO - Epoch(train) [17][2700/5005] lr: 1.0000e-01 eta: 2 days, 1:28:53 time: 0.4203 data_time: 0.0021 loss: 2.0172 03/04 00:40:48 - mmengine - INFO - Epoch(train) [17][2800/5005] lr: 1.0000e-01 eta: 2 days, 1:28:08 time: 0.4194 data_time: 0.0021 loss: 1.9646 03/04 00:41:30 - mmengine - INFO - Epoch(train) [17][2900/5005] lr: 1.0000e-01 eta: 2 days, 1:27:22 time: 0.4216 data_time: 0.0022 loss: 2.1910 03/04 00:41:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:42:12 - mmengine - INFO - Epoch(train) [17][3000/5005] lr: 1.0000e-01 eta: 2 days, 1:26:37 time: 0.4194 data_time: 0.0021 loss: 2.0875 03/04 00:42:54 - mmengine - INFO - Epoch(train) [17][3100/5005] lr: 1.0000e-01 eta: 2 days, 1:25:52 time: 0.4214 data_time: 0.0022 loss: 1.9615 03/04 00:43:36 - mmengine - INFO - Epoch(train) [17][3200/5005] lr: 1.0000e-01 eta: 2 days, 1:25:07 time: 0.4298 data_time: 0.0022 loss: 1.9928 03/04 00:44:19 - mmengine - INFO - Epoch(train) [17][3300/5005] lr: 1.0000e-01 eta: 2 days, 1:24:21 time: 0.4207 data_time: 0.0022 loss: 2.1220 03/04 00:45:01 - mmengine - INFO - Epoch(train) [17][3400/5005] lr: 1.0000e-01 eta: 2 days, 1:23:36 time: 0.4165 data_time: 0.0021 loss: 1.8698 03/04 00:45:43 - mmengine - INFO - Epoch(train) [17][3500/5005] lr: 1.0000e-01 eta: 2 days, 1:22:51 time: 0.4231 data_time: 0.0022 loss: 1.9838 03/04 00:46:25 - mmengine - INFO - Epoch(train) [17][3600/5005] lr: 1.0000e-01 eta: 2 days, 1:22:06 time: 0.4238 data_time: 0.0022 loss: 1.9849 03/04 00:47:07 - mmengine - INFO - Epoch(train) [17][3700/5005] lr: 1.0000e-01 eta: 2 days, 1:21:20 time: 0.4221 data_time: 0.0023 loss: 1.9385 03/04 00:47:49 - mmengine - INFO - Epoch(train) [17][3800/5005] lr: 1.0000e-01 eta: 2 days, 1:20:36 time: 0.4218 data_time: 0.0020 loss: 2.1101 03/04 00:48:32 - mmengine - INFO - Epoch(train) [17][3900/5005] lr: 1.0000e-01 eta: 2 days, 1:19:51 time: 0.4192 data_time: 0.0021 loss: 2.0973 03/04 00:48:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:49:14 - mmengine - INFO - Epoch(train) [17][4000/5005] lr: 1.0000e-01 eta: 2 days, 1:19:06 time: 0.4219 data_time: 0.0021 loss: 2.0793 03/04 00:49:56 - mmengine - INFO - Epoch(train) [17][4100/5005] lr: 1.0000e-01 eta: 2 days, 1:18:22 time: 0.4265 data_time: 0.0021 loss: 2.0693 03/04 00:50:38 - mmengine - INFO - Epoch(train) [17][4200/5005] lr: 1.0000e-01 eta: 2 days, 1:17:37 time: 0.4402 data_time: 0.0021 loss: 1.8110 03/04 00:51:21 - mmengine - INFO - Epoch(train) [17][4300/5005] lr: 1.0000e-01 eta: 2 days, 1:16:52 time: 0.4218 data_time: 0.0021 loss: 2.0642 03/04 00:52:03 - mmengine - INFO - Epoch(train) [17][4400/5005] lr: 1.0000e-01 eta: 2 days, 1:16:07 time: 0.4206 data_time: 0.0021 loss: 2.0824 03/04 00:52:45 - mmengine - INFO - Epoch(train) [17][4500/5005] lr: 1.0000e-01 eta: 2 days, 1:15:21 time: 0.4199 data_time: 0.0022 loss: 2.2146 03/04 00:53:27 - mmengine - INFO - Epoch(train) [17][4600/5005] lr: 1.0000e-01 eta: 2 days, 1:14:36 time: 0.4180 data_time: 0.0022 loss: 2.2442 03/04 00:54:09 - mmengine - INFO - Epoch(train) [17][4700/5005] lr: 1.0000e-01 eta: 2 days, 1:13:51 time: 0.4223 data_time: 0.0021 loss: 2.0806 03/04 00:54:51 - mmengine - INFO - Epoch(train) [17][4800/5005] lr: 1.0000e-01 eta: 2 days, 1:13:06 time: 0.4217 data_time: 0.0021 loss: 1.9502 03/04 00:55:33 - mmengine - INFO - Epoch(train) [17][4900/5005] lr: 1.0000e-01 eta: 2 days, 1:12:21 time: 0.4196 data_time: 0.0020 loss: 1.9966 03/04 00:55:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:56:15 - mmengine - INFO - Epoch(train) [17][5000/5005] lr: 1.0000e-01 eta: 2 days, 1:11:35 time: 0.4182 data_time: 0.0019 loss: 2.0288 03/04 00:56:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 00:56:18 - mmengine - INFO - Saving checkpoint at 17 epochs 03/04 00:56:30 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:00:09 time: 0.0290 data_time: 0.0005 03/04 00:56:44 - mmengine - INFO - Epoch(val) [17][196/196] accuracy/top1: 57.8960 accuracy/top5: 82.0080 03/04 00:57:29 - mmengine - INFO - Epoch(train) [18][ 100/5005] lr: 1.0000e-01 eta: 2 days, 1:11:02 time: 0.4249 data_time: 0.0022 loss: 1.9786 03/04 00:58:11 - mmengine - INFO - Epoch(train) [18][ 200/5005] lr: 1.0000e-01 eta: 2 days, 1:10:17 time: 0.4221 data_time: 0.0021 loss: 1.7898 03/04 00:58:54 - mmengine - INFO - Epoch(train) [18][ 300/5005] lr: 1.0000e-01 eta: 2 days, 1:09:33 time: 0.4193 data_time: 0.0021 loss: 2.2096 03/04 00:59:35 - mmengine - INFO - Epoch(train) [18][ 400/5005] lr: 1.0000e-01 eta: 2 days, 1:08:46 time: 0.4177 data_time: 0.0023 loss: 1.9631 03/04 01:00:18 - mmengine - INFO - Epoch(train) [18][ 500/5005] lr: 1.0000e-01 eta: 2 days, 1:08:01 time: 0.4204 data_time: 0.0022 loss: 2.0632 03/04 01:01:00 - mmengine - INFO - Epoch(train) [18][ 600/5005] lr: 1.0000e-01 eta: 2 days, 1:07:16 time: 0.4238 data_time: 0.0022 loss: 1.9589 03/04 01:01:42 - mmengine - INFO - Epoch(train) [18][ 700/5005] lr: 1.0000e-01 eta: 2 days, 1:06:31 time: 0.4210 data_time: 0.0021 loss: 1.9190 03/04 01:02:24 - mmengine - INFO - Epoch(train) [18][ 800/5005] lr: 1.0000e-01 eta: 2 days, 1:05:47 time: 0.4247 data_time: 0.0022 loss: 1.7295 03/04 01:03:06 - mmengine - INFO - Epoch(train) [18][ 900/5005] lr: 1.0000e-01 eta: 2 days, 1:05:02 time: 0.4229 data_time: 0.0021 loss: 2.0558 03/04 01:03:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:03:49 - mmengine - INFO - Epoch(train) [18][1000/5005] lr: 1.0000e-01 eta: 2 days, 1:04:17 time: 0.4154 data_time: 0.0021 loss: 2.1016 03/04 01:04:31 - mmengine - INFO - Epoch(train) [18][1100/5005] lr: 1.0000e-01 eta: 2 days, 1:03:32 time: 0.4162 data_time: 0.0021 loss: 1.9810 03/04 01:05:13 - mmengine - INFO - Epoch(train) [18][1200/5005] lr: 1.0000e-01 eta: 2 days, 1:02:47 time: 0.4233 data_time: 0.0021 loss: 2.0877 03/04 01:05:55 - mmengine - INFO - Epoch(train) [18][1300/5005] lr: 1.0000e-01 eta: 2 days, 1:02:03 time: 0.4212 data_time: 0.0020 loss: 1.8943 03/04 01:06:38 - mmengine - INFO - Epoch(train) [18][1400/5005] lr: 1.0000e-01 eta: 2 days, 1:01:19 time: 0.4221 data_time: 0.0022 loss: 1.8769 03/04 01:07:20 - mmengine - INFO - Epoch(train) [18][1500/5005] lr: 1.0000e-01 eta: 2 days, 1:00:34 time: 0.4190 data_time: 0.0020 loss: 2.1521 03/04 01:08:02 - mmengine - INFO - Epoch(train) [18][1600/5005] lr: 1.0000e-01 eta: 2 days, 0:59:49 time: 0.4182 data_time: 0.0023 loss: 2.2457 03/04 01:08:44 - mmengine - INFO - Epoch(train) [18][1700/5005] lr: 1.0000e-01 eta: 2 days, 0:59:05 time: 0.4176 data_time: 0.0022 loss: 1.8976 03/04 01:09:26 - mmengine - INFO - Epoch(train) [18][1800/5005] lr: 1.0000e-01 eta: 2 days, 0:58:20 time: 0.4294 data_time: 0.0022 loss: 1.9580 03/04 01:10:09 - mmengine - INFO - Epoch(train) [18][1900/5005] lr: 1.0000e-01 eta: 2 days, 0:57:34 time: 0.4184 data_time: 0.0021 loss: 2.2052 03/04 01:10:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:10:51 - mmengine - INFO - Epoch(train) [18][2000/5005] lr: 1.0000e-01 eta: 2 days, 0:56:50 time: 0.4249 data_time: 0.0021 loss: 2.1380 03/04 01:11:33 - mmengine - INFO - Epoch(train) [18][2100/5005] lr: 1.0000e-01 eta: 2 days, 0:56:06 time: 0.4210 data_time: 0.0021 loss: 1.7587 03/04 01:12:15 - mmengine - INFO - Epoch(train) [18][2200/5005] lr: 1.0000e-01 eta: 2 days, 0:55:21 time: 0.4179 data_time: 0.0022 loss: 2.1554 03/04 01:12:57 - mmengine - INFO - Epoch(train) [18][2300/5005] lr: 1.0000e-01 eta: 2 days, 0:54:35 time: 0.4238 data_time: 0.0022 loss: 2.1591 03/04 01:13:40 - mmengine - INFO - Epoch(train) [18][2400/5005] lr: 1.0000e-01 eta: 2 days, 0:53:51 time: 0.4211 data_time: 0.0021 loss: 2.1420 03/04 01:14:22 - mmengine - INFO - Epoch(train) [18][2500/5005] lr: 1.0000e-01 eta: 2 days, 0:53:06 time: 0.4203 data_time: 0.0021 loss: 1.8716 03/04 01:15:04 - mmengine - INFO - Epoch(train) [18][2600/5005] lr: 1.0000e-01 eta: 2 days, 0:52:21 time: 0.4265 data_time: 0.0022 loss: 1.8875 03/04 01:15:46 - mmengine - INFO - Epoch(train) [18][2700/5005] lr: 1.0000e-01 eta: 2 days, 0:51:36 time: 0.4263 data_time: 0.0021 loss: 1.8007 03/04 01:16:28 - mmengine - INFO - Epoch(train) [18][2800/5005] lr: 1.0000e-01 eta: 2 days, 0:50:51 time: 0.4174 data_time: 0.0022 loss: 2.0209 03/04 01:17:10 - mmengine - INFO - Epoch(train) [18][2900/5005] lr: 1.0000e-01 eta: 2 days, 0:50:06 time: 0.4198 data_time: 0.0021 loss: 1.8705 03/04 01:17:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:17:53 - mmengine - INFO - Epoch(train) [18][3000/5005] lr: 1.0000e-01 eta: 2 days, 0:49:22 time: 0.4235 data_time: 0.0021 loss: 2.0555 03/04 01:18:35 - mmengine - INFO - Epoch(train) [18][3100/5005] lr: 1.0000e-01 eta: 2 days, 0:48:37 time: 0.4189 data_time: 0.0022 loss: 2.1162 03/04 01:19:17 - mmengine - INFO - Epoch(train) [18][3200/5005] lr: 1.0000e-01 eta: 2 days, 0:47:53 time: 0.4218 data_time: 0.0022 loss: 2.1484 03/04 01:19:59 - mmengine - INFO - Epoch(train) [18][3300/5005] lr: 1.0000e-01 eta: 2 days, 0:47:08 time: 0.4246 data_time: 0.0022 loss: 2.0642 03/04 01:20:42 - mmengine - INFO - Epoch(train) [18][3400/5005] lr: 1.0000e-01 eta: 2 days, 0:46:24 time: 0.4208 data_time: 0.0021 loss: 1.9851 03/04 01:21:24 - mmengine - INFO - Epoch(train) [18][3500/5005] lr: 1.0000e-01 eta: 2 days, 0:45:39 time: 0.4207 data_time: 0.0021 loss: 2.1366 03/04 01:22:06 - mmengine - INFO - Epoch(train) [18][3600/5005] lr: 1.0000e-01 eta: 2 days, 0:44:55 time: 0.4249 data_time: 0.0020 loss: 2.0923 03/04 01:22:48 - mmengine - INFO - Epoch(train) [18][3700/5005] lr: 1.0000e-01 eta: 2 days, 0:44:10 time: 0.4227 data_time: 0.0021 loss: 1.9794 03/04 01:23:31 - mmengine - INFO - Epoch(train) [18][3800/5005] lr: 1.0000e-01 eta: 2 days, 0:43:26 time: 0.4210 data_time: 0.0021 loss: 1.9666 03/04 01:24:13 - mmengine - INFO - Epoch(train) [18][3900/5005] lr: 1.0000e-01 eta: 2 days, 0:42:41 time: 0.4224 data_time: 0.0021 loss: 2.0543 03/04 01:24:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:24:55 - mmengine - INFO - Epoch(train) [18][4000/5005] lr: 1.0000e-01 eta: 2 days, 0:41:56 time: 0.4207 data_time: 0.0021 loss: 1.8818 03/04 01:25:37 - mmengine - INFO - Epoch(train) [18][4100/5005] lr: 1.0000e-01 eta: 2 days, 0:41:11 time: 0.4201 data_time: 0.0022 loss: 1.9748 03/04 01:26:19 - mmengine - INFO - Epoch(train) [18][4200/5005] lr: 1.0000e-01 eta: 2 days, 0:40:26 time: 0.4215 data_time: 0.0020 loss: 1.9031 03/04 01:27:01 - mmengine - INFO - Epoch(train) [18][4300/5005] lr: 1.0000e-01 eta: 2 days, 0:39:41 time: 0.4191 data_time: 0.0021 loss: 1.9033 03/04 01:27:43 - mmengine - INFO - Epoch(train) [18][4400/5005] lr: 1.0000e-01 eta: 2 days, 0:38:56 time: 0.4165 data_time: 0.0021 loss: 2.0505 03/04 01:28:26 - mmengine - INFO - Epoch(train) [18][4500/5005] lr: 1.0000e-01 eta: 2 days, 0:38:12 time: 0.4244 data_time: 0.0022 loss: 1.9232 03/04 01:29:08 - mmengine - INFO - Epoch(train) [18][4600/5005] lr: 1.0000e-01 eta: 2 days, 0:37:28 time: 0.4155 data_time: 0.0023 loss: 2.1894 03/04 01:29:50 - mmengine - INFO - Epoch(train) [18][4700/5005] lr: 1.0000e-01 eta: 2 days, 0:36:43 time: 0.4243 data_time: 0.0022 loss: 2.0835 03/04 01:30:32 - mmengine - INFO - Epoch(train) [18][4800/5005] lr: 1.0000e-01 eta: 2 days, 0:35:58 time: 0.4269 data_time: 0.0021 loss: 2.0051 03/04 01:31:14 - mmengine - INFO - Epoch(train) [18][4900/5005] lr: 1.0000e-01 eta: 2 days, 0:35:13 time: 0.4258 data_time: 0.0022 loss: 2.0523 03/04 01:31:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:31:57 - mmengine - INFO - Epoch(train) [18][5000/5005] lr: 1.0000e-01 eta: 2 days, 0:34:29 time: 0.4216 data_time: 0.0021 loss: 2.0024 03/04 01:31:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:31:59 - mmengine - INFO - Saving checkpoint at 18 epochs 03/04 01:32:12 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:00:08 time: 0.0292 data_time: 0.0005 03/04 01:32:26 - mmengine - INFO - Epoch(val) [18][196/196] accuracy/top1: 59.0840 accuracy/top5: 83.6080 03/04 01:33:11 - mmengine - INFO - Epoch(train) [19][ 100/5005] lr: 1.0000e-01 eta: 2 days, 0:33:56 time: 0.4242 data_time: 0.0024 loss: 2.0195 03/04 01:33:54 - mmengine - INFO - Epoch(train) [19][ 200/5005] lr: 1.0000e-01 eta: 2 days, 0:33:13 time: 0.4232 data_time: 0.0022 loss: 1.9130 03/04 01:34:36 - mmengine - INFO - Epoch(train) [19][ 300/5005] lr: 1.0000e-01 eta: 2 days, 0:32:28 time: 0.4208 data_time: 0.0022 loss: 1.8623 03/04 01:35:18 - mmengine - INFO - Epoch(train) [19][ 400/5005] lr: 1.0000e-01 eta: 2 days, 0:31:44 time: 0.4201 data_time: 0.0021 loss: 2.1369 03/04 01:36:00 - mmengine - INFO - Epoch(train) [19][ 500/5005] lr: 1.0000e-01 eta: 2 days, 0:31:01 time: 0.4207 data_time: 0.0022 loss: 1.8293 03/04 01:36:43 - mmengine - INFO - Epoch(train) [19][ 600/5005] lr: 1.0000e-01 eta: 2 days, 0:30:17 time: 0.4215 data_time: 0.0022 loss: 2.1261 03/04 01:37:25 - mmengine - INFO - Epoch(train) [19][ 700/5005] lr: 1.0000e-01 eta: 2 days, 0:29:32 time: 0.4224 data_time: 0.0022 loss: 1.9219 03/04 01:38:07 - mmengine - INFO - Epoch(train) [19][ 800/5005] lr: 1.0000e-01 eta: 2 days, 0:28:48 time: 0.4221 data_time: 0.0023 loss: 2.1803 03/04 01:38:49 - mmengine - INFO - Epoch(train) [19][ 900/5005] lr: 1.0000e-01 eta: 2 days, 0:28:03 time: 0.4191 data_time: 0.0022 loss: 2.0149 03/04 01:38:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:39:32 - mmengine - INFO - Epoch(train) [19][1000/5005] lr: 1.0000e-01 eta: 2 days, 0:27:18 time: 0.4203 data_time: 0.0021 loss: 1.9010 03/04 01:40:14 - mmengine - INFO - Epoch(train) [19][1100/5005] lr: 1.0000e-01 eta: 2 days, 0:26:33 time: 0.4233 data_time: 0.0021 loss: 1.7987 03/04 01:40:56 - mmengine - INFO - Epoch(train) [19][1200/5005] lr: 1.0000e-01 eta: 2 days, 0:25:49 time: 0.4231 data_time: 0.0022 loss: 1.7364 03/04 01:41:38 - mmengine - INFO - Epoch(train) [19][1300/5005] lr: 1.0000e-01 eta: 2 days, 0:25:04 time: 0.4214 data_time: 0.0022 loss: 2.1096 03/04 01:42:20 - mmengine - INFO - Epoch(train) [19][1400/5005] lr: 1.0000e-01 eta: 2 days, 0:24:20 time: 0.4222 data_time: 0.0021 loss: 2.0597 03/04 01:43:02 - mmengine - INFO - Epoch(train) [19][1500/5005] lr: 1.0000e-01 eta: 2 days, 0:23:35 time: 0.4236 data_time: 0.0022 loss: 2.1672 03/04 01:43:45 - mmengine - INFO - Epoch(train) [19][1600/5005] lr: 1.0000e-01 eta: 2 days, 0:22:51 time: 0.4221 data_time: 0.0021 loss: 2.0254 03/04 01:44:27 - mmengine - INFO - Epoch(train) [19][1700/5005] lr: 1.0000e-01 eta: 2 days, 0:22:06 time: 0.4211 data_time: 0.0021 loss: 1.9904 03/04 01:45:09 - mmengine - INFO - Epoch(train) [19][1800/5005] lr: 1.0000e-01 eta: 2 days, 0:21:22 time: 0.4242 data_time: 0.0021 loss: 2.0628 03/04 01:45:51 - mmengine - INFO - Epoch(train) [19][1900/5005] lr: 1.0000e-01 eta: 2 days, 0:20:38 time: 0.4205 data_time: 0.0022 loss: 2.0468 03/04 01:45:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:46:34 - mmengine - INFO - Epoch(train) [19][2000/5005] lr: 1.0000e-01 eta: 2 days, 0:19:53 time: 0.4174 data_time: 0.0021 loss: 1.8334 03/04 01:47:16 - mmengine - INFO - Epoch(train) [19][2100/5005] lr: 1.0000e-01 eta: 2 days, 0:19:10 time: 0.4243 data_time: 0.0022 loss: 1.8330 03/04 01:47:58 - mmengine - INFO - Epoch(train) [19][2200/5005] lr: 1.0000e-01 eta: 2 days, 0:18:24 time: 0.4200 data_time: 0.0021 loss: 2.0278 03/04 01:48:40 - mmengine - INFO - Epoch(train) [19][2300/5005] lr: 1.0000e-01 eta: 2 days, 0:17:39 time: 0.4207 data_time: 0.0021 loss: 1.7992 03/04 01:49:22 - mmengine - INFO - Epoch(train) [19][2400/5005] lr: 1.0000e-01 eta: 2 days, 0:16:54 time: 0.4214 data_time: 0.0023 loss: 1.8658 03/04 01:50:04 - mmengine - INFO - Epoch(train) [19][2500/5005] lr: 1.0000e-01 eta: 2 days, 0:16:10 time: 0.4205 data_time: 0.0022 loss: 1.9150 03/04 01:50:47 - mmengine - INFO - Epoch(train) [19][2600/5005] lr: 1.0000e-01 eta: 2 days, 0:15:26 time: 0.4380 data_time: 0.0022 loss: 1.9812 03/04 01:51:29 - mmengine - INFO - Epoch(train) [19][2700/5005] lr: 1.0000e-01 eta: 2 days, 0:14:41 time: 0.4190 data_time: 0.0021 loss: 1.8302 03/04 01:52:11 - mmengine - INFO - Epoch(train) [19][2800/5005] lr: 1.0000e-01 eta: 2 days, 0:13:57 time: 0.4264 data_time: 0.0022 loss: 2.0485 03/04 01:52:53 - mmengine - INFO - Epoch(train) [19][2900/5005] lr: 1.0000e-01 eta: 2 days, 0:13:13 time: 0.4257 data_time: 0.0022 loss: 2.0744 03/04 01:52:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 01:53:36 - mmengine - INFO - Epoch(train) [19][3000/5005] lr: 1.0000e-01 eta: 2 days, 0:12:28 time: 0.4235 data_time: 0.0022 loss: 2.0638 03/04 01:54:18 - mmengine - INFO - Epoch(train) [19][3100/5005] lr: 1.0000e-01 eta: 2 days, 0:11:44 time: 0.4171 data_time: 0.0023 loss: 2.0870 03/04 01:55:00 - mmengine - INFO - Epoch(train) [19][3200/5005] lr: 1.0000e-01 eta: 2 days, 0:10:59 time: 0.4192 data_time: 0.0022 loss: 2.1020 03/04 01:55:42 - mmengine - INFO - Epoch(train) [19][3300/5005] lr: 1.0000e-01 eta: 2 days, 0:10:15 time: 0.4339 data_time: 0.0022 loss: 1.9361 03/04 01:56:25 - mmengine - INFO - Epoch(train) [19][3400/5005] lr: 1.0000e-01 eta: 2 days, 0:09:31 time: 0.4193 data_time: 0.0021 loss: 2.0997 03/04 01:57:07 - mmengine - INFO - Epoch(train) [19][3500/5005] lr: 1.0000e-01 eta: 2 days, 0:08:48 time: 0.4275 data_time: 0.0022 loss: 1.7457 03/04 01:57:49 - mmengine - INFO - Epoch(train) [19][3600/5005] lr: 1.0000e-01 eta: 2 days, 0:08:04 time: 0.4228 data_time: 0.0024 loss: 1.8933 03/04 01:58:32 - mmengine - INFO - Epoch(train) [19][3700/5005] lr: 1.0000e-01 eta: 2 days, 0:07:20 time: 0.4238 data_time: 0.0022 loss: 2.0083 03/04 01:59:14 - mmengine - INFO - Epoch(train) [19][3800/5005] lr: 1.0000e-01 eta: 2 days, 0:06:36 time: 0.4235 data_time: 0.0022 loss: 2.0753 03/04 01:59:56 - mmengine - INFO - Epoch(train) [19][3900/5005] lr: 1.0000e-01 eta: 2 days, 0:05:51 time: 0.4198 data_time: 0.0022 loss: 2.0801 03/04 02:00:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:00:38 - mmengine - INFO - Epoch(train) [19][4000/5005] lr: 1.0000e-01 eta: 2 days, 0:05:07 time: 0.4214 data_time: 0.0022 loss: 2.0089 03/04 02:01:20 - mmengine - INFO - Epoch(train) [19][4100/5005] lr: 1.0000e-01 eta: 2 days, 0:04:22 time: 0.4193 data_time: 0.0021 loss: 2.0438 03/04 02:02:03 - mmengine - INFO - Epoch(train) [19][4200/5005] lr: 1.0000e-01 eta: 2 days, 0:03:38 time: 0.4158 data_time: 0.0021 loss: 1.9813 03/04 02:02:45 - mmengine - INFO - Epoch(train) [19][4300/5005] lr: 1.0000e-01 eta: 2 days, 0:02:53 time: 0.4233 data_time: 0.0021 loss: 1.7784 03/04 02:03:27 - mmengine - INFO - Epoch(train) [19][4400/5005] lr: 1.0000e-01 eta: 2 days, 0:02:08 time: 0.4225 data_time: 0.0023 loss: 2.0439 03/04 02:04:09 - mmengine - INFO - Epoch(train) [19][4500/5005] lr: 1.0000e-01 eta: 2 days, 0:01:25 time: 0.4236 data_time: 0.0021 loss: 2.0649 03/04 02:04:51 - mmengine - INFO - Epoch(train) [19][4600/5005] lr: 1.0000e-01 eta: 2 days, 0:00:40 time: 0.4196 data_time: 0.0021 loss: 1.9157 03/04 02:05:33 - mmengine - INFO - Epoch(train) [19][4700/5005] lr: 1.0000e-01 eta: 1 day, 23:59:55 time: 0.4225 data_time: 0.0022 loss: 2.2741 03/04 02:06:16 - mmengine - INFO - Epoch(train) [19][4800/5005] lr: 1.0000e-01 eta: 1 day, 23:59:11 time: 0.4257 data_time: 0.0024 loss: 1.8519 03/04 02:06:58 - mmengine - INFO - Epoch(train) [19][4900/5005] lr: 1.0000e-01 eta: 1 day, 23:58:27 time: 0.4219 data_time: 0.0021 loss: 2.1742 03/04 02:07:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:07:40 - mmengine - INFO - Epoch(train) [19][5000/5005] lr: 1.0000e-01 eta: 1 day, 23:57:42 time: 0.4172 data_time: 0.0020 loss: 2.1288 03/04 02:07:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:07:43 - mmengine - INFO - Saving checkpoint at 19 epochs 03/04 02:07:55 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:00:09 time: 0.0289 data_time: 0.0005 03/04 02:08:09 - mmengine - INFO - Epoch(val) [19][196/196] accuracy/top1: 58.6840 accuracy/top5: 83.2180 03/04 02:08:54 - mmengine - INFO - Epoch(train) [20][ 100/5005] lr: 1.0000e-01 eta: 1 day, 23:57:08 time: 0.4241 data_time: 0.0021 loss: 1.8721 03/04 02:09:36 - mmengine - INFO - Epoch(train) [20][ 200/5005] lr: 1.0000e-01 eta: 1 day, 23:56:23 time: 0.4197 data_time: 0.0023 loss: 1.7520 03/04 02:10:18 - mmengine - INFO - Epoch(train) [20][ 300/5005] lr: 1.0000e-01 eta: 1 day, 23:55:39 time: 0.4196 data_time: 0.0022 loss: 1.7288 03/04 02:11:00 - mmengine - INFO - Epoch(train) [20][ 400/5005] lr: 1.0000e-01 eta: 1 day, 23:54:54 time: 0.4188 data_time: 0.0022 loss: 1.9389 03/04 02:11:43 - mmengine - INFO - Epoch(train) [20][ 500/5005] lr: 1.0000e-01 eta: 1 day, 23:54:09 time: 0.4328 data_time: 0.0022 loss: 2.1361 03/04 02:12:25 - mmengine - INFO - Epoch(train) [20][ 600/5005] lr: 1.0000e-01 eta: 1 day, 23:53:25 time: 0.4166 data_time: 0.0022 loss: 1.9260 03/04 02:13:07 - mmengine - INFO - Epoch(train) [20][ 700/5005] lr: 1.0000e-01 eta: 1 day, 23:52:39 time: 0.4217 data_time: 0.0021 loss: 2.0417 03/04 02:13:49 - mmengine - INFO - Epoch(train) [20][ 800/5005] lr: 1.0000e-01 eta: 1 day, 23:51:55 time: 0.4212 data_time: 0.0021 loss: 1.8643 03/04 02:14:31 - mmengine - INFO - Epoch(train) [20][ 900/5005] lr: 1.0000e-01 eta: 1 day, 23:51:10 time: 0.4169 data_time: 0.0022 loss: 1.8506 03/04 02:14:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:15:13 - mmengine - INFO - Epoch(train) [20][1000/5005] lr: 1.0000e-01 eta: 1 day, 23:50:25 time: 0.4234 data_time: 0.0022 loss: 1.9467 03/04 02:15:55 - mmengine - INFO - Epoch(train) [20][1100/5005] lr: 1.0000e-01 eta: 1 day, 23:49:42 time: 0.4224 data_time: 0.0023 loss: 2.0609 03/04 02:16:38 - mmengine - INFO - Epoch(train) [20][1200/5005] lr: 1.0000e-01 eta: 1 day, 23:48:57 time: 0.4285 data_time: 0.0021 loss: 1.9040 03/04 02:17:20 - mmengine - INFO - Epoch(train) [20][1300/5005] lr: 1.0000e-01 eta: 1 day, 23:48:13 time: 0.4215 data_time: 0.0023 loss: 2.0067 03/04 02:18:02 - mmengine - INFO - Epoch(train) [20][1400/5005] lr: 1.0000e-01 eta: 1 day, 23:47:29 time: 0.4195 data_time: 0.0021 loss: 1.7874 03/04 02:18:44 - mmengine - INFO - Epoch(train) [20][1500/5005] lr: 1.0000e-01 eta: 1 day, 23:46:45 time: 0.4225 data_time: 0.0021 loss: 1.9140 03/04 02:19:27 - mmengine - INFO - Epoch(train) [20][1600/5005] lr: 1.0000e-01 eta: 1 day, 23:46:01 time: 0.4159 data_time: 0.0021 loss: 2.2253 03/04 02:20:09 - mmengine - INFO - Epoch(train) [20][1700/5005] lr: 1.0000e-01 eta: 1 day, 23:45:17 time: 0.4262 data_time: 0.0021 loss: 2.0851 03/04 02:20:51 - mmengine - INFO - Epoch(train) [20][1800/5005] lr: 1.0000e-01 eta: 1 day, 23:44:33 time: 0.4273 data_time: 0.0022 loss: 1.9314 03/04 02:21:33 - mmengine - INFO - Epoch(train) [20][1900/5005] lr: 1.0000e-01 eta: 1 day, 23:43:49 time: 0.4213 data_time: 0.0023 loss: 1.9050 03/04 02:21:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:22:16 - mmengine - INFO - Epoch(train) [20][2000/5005] lr: 1.0000e-01 eta: 1 day, 23:43:04 time: 0.4236 data_time: 0.0021 loss: 2.2368 03/04 02:22:58 - mmengine - INFO - Epoch(train) [20][2100/5005] lr: 1.0000e-01 eta: 1 day, 23:42:20 time: 0.4187 data_time: 0.0022 loss: 1.9495 03/04 02:23:40 - mmengine - INFO - Epoch(train) [20][2200/5005] lr: 1.0000e-01 eta: 1 day, 23:41:36 time: 0.4225 data_time: 0.0021 loss: 1.8739 03/04 02:24:22 - mmengine - INFO - Epoch(train) [20][2300/5005] lr: 1.0000e-01 eta: 1 day, 23:40:51 time: 0.4192 data_time: 0.0022 loss: 1.9925 03/04 02:25:04 - mmengine - INFO - Epoch(train) [20][2400/5005] lr: 1.0000e-01 eta: 1 day, 23:40:07 time: 0.4254 data_time: 0.0021 loss: 1.8766 03/04 02:25:47 - mmengine - INFO - Epoch(train) [20][2500/5005] lr: 1.0000e-01 eta: 1 day, 23:39:23 time: 0.4229 data_time: 0.0021 loss: 1.9433 03/04 02:26:29 - mmengine - INFO - Epoch(train) [20][2600/5005] lr: 1.0000e-01 eta: 1 day, 23:38:38 time: 0.4220 data_time: 0.0021 loss: 1.9228 03/04 02:27:11 - mmengine - INFO - Epoch(train) [20][2700/5005] lr: 1.0000e-01 eta: 1 day, 23:37:54 time: 0.4184 data_time: 0.0023 loss: 2.1721 03/04 02:27:53 - mmengine - INFO - Epoch(train) [20][2800/5005] lr: 1.0000e-01 eta: 1 day, 23:37:09 time: 0.4215 data_time: 0.0022 loss: 2.0185 03/04 02:28:35 - mmengine - INFO - Epoch(train) [20][2900/5005] lr: 1.0000e-01 eta: 1 day, 23:36:25 time: 0.4192 data_time: 0.0022 loss: 2.0756 03/04 02:28:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:29:17 - mmengine - INFO - Epoch(train) [20][3000/5005] lr: 1.0000e-01 eta: 1 day, 23:35:41 time: 0.4237 data_time: 0.0022 loss: 2.1090 03/04 02:30:00 - mmengine - INFO - Epoch(train) [20][3100/5005] lr: 1.0000e-01 eta: 1 day, 23:34:57 time: 0.4289 data_time: 0.0022 loss: 2.1593 03/04 02:30:42 - mmengine - INFO - Epoch(train) [20][3200/5005] lr: 1.0000e-01 eta: 1 day, 23:34:13 time: 0.4165 data_time: 0.0022 loss: 2.0720 03/04 02:31:24 - mmengine - INFO - Epoch(train) [20][3300/5005] lr: 1.0000e-01 eta: 1 day, 23:33:30 time: 0.4265 data_time: 0.0021 loss: 2.0565 03/04 02:32:07 - mmengine - INFO - Epoch(train) [20][3400/5005] lr: 1.0000e-01 eta: 1 day, 23:32:46 time: 0.4224 data_time: 0.0021 loss: 1.9904 03/04 02:32:49 - mmengine - INFO - Epoch(train) [20][3500/5005] lr: 1.0000e-01 eta: 1 day, 23:32:01 time: 0.4231 data_time: 0.0021 loss: 1.9899 03/04 02:33:31 - mmengine - INFO - Epoch(train) [20][3600/5005] lr: 1.0000e-01 eta: 1 day, 23:31:17 time: 0.4183 data_time: 0.0022 loss: 1.8911 03/04 02:34:13 - mmengine - INFO - Epoch(train) [20][3700/5005] lr: 1.0000e-01 eta: 1 day, 23:30:33 time: 0.4162 data_time: 0.0023 loss: 2.2284 03/04 02:34:55 - mmengine - INFO - Epoch(train) [20][3800/5005] lr: 1.0000e-01 eta: 1 day, 23:29:49 time: 0.4276 data_time: 0.0032 loss: 2.1258 03/04 02:35:37 - mmengine - INFO - Epoch(train) [20][3900/5005] lr: 1.0000e-01 eta: 1 day, 23:29:03 time: 0.4187 data_time: 0.0024 loss: 2.0120 03/04 02:35:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:36:20 - mmengine - INFO - Epoch(train) [20][4000/5005] lr: 1.0000e-01 eta: 1 day, 23:28:19 time: 0.4171 data_time: 0.0021 loss: 1.9355 03/04 02:37:02 - mmengine - INFO - Epoch(train) [20][4100/5005] lr: 1.0000e-01 eta: 1 day, 23:27:35 time: 0.4187 data_time: 0.0021 loss: 2.0211 03/04 02:37:44 - mmengine - INFO - Epoch(train) [20][4200/5005] lr: 1.0000e-01 eta: 1 day, 23:26:51 time: 0.4191 data_time: 0.0022 loss: 2.0424 03/04 02:38:26 - mmengine - INFO - Epoch(train) [20][4300/5005] lr: 1.0000e-01 eta: 1 day, 23:26:07 time: 0.4197 data_time: 0.0022 loss: 2.0909 03/04 02:39:09 - mmengine - INFO - Epoch(train) [20][4400/5005] lr: 1.0000e-01 eta: 1 day, 23:25:23 time: 0.4181 data_time: 0.0023 loss: 2.0654 03/04 02:39:51 - mmengine - INFO - Epoch(train) [20][4500/5005] lr: 1.0000e-01 eta: 1 day, 23:24:39 time: 0.4220 data_time: 0.0021 loss: 1.9978 03/04 02:40:33 - mmengine - INFO - Epoch(train) [20][4600/5005] lr: 1.0000e-01 eta: 1 day, 23:23:55 time: 0.4250 data_time: 0.0021 loss: 2.0301 03/04 02:41:15 - mmengine - INFO - Epoch(train) [20][4700/5005] lr: 1.0000e-01 eta: 1 day, 23:23:10 time: 0.4169 data_time: 0.0021 loss: 1.8316 03/04 02:41:57 - mmengine - INFO - Epoch(train) [20][4800/5005] lr: 1.0000e-01 eta: 1 day, 23:22:26 time: 0.4264 data_time: 0.0023 loss: 2.1657 03/04 02:42:40 - mmengine - INFO - Epoch(train) [20][4900/5005] lr: 1.0000e-01 eta: 1 day, 23:21:42 time: 0.4190 data_time: 0.0022 loss: 1.7162 03/04 02:42:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:43:22 - mmengine - INFO - Epoch(train) [20][5000/5005] lr: 1.0000e-01 eta: 1 day, 23:20:58 time: 0.4230 data_time: 0.0020 loss: 2.0157 03/04 02:43:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:43:25 - mmengine - INFO - Saving checkpoint at 20 epochs 03/04 02:43:37 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:00:08 time: 0.0280 data_time: 0.0005 03/04 02:43:51 - mmengine - INFO - Epoch(val) [20][196/196] accuracy/top1: 59.3580 accuracy/top5: 83.2640 03/04 02:44:36 - mmengine - INFO - Epoch(train) [21][ 100/5005] lr: 1.0000e-01 eta: 1 day, 23:20:23 time: 0.4217 data_time: 0.0023 loss: 2.0403 03/04 02:45:18 - mmengine - INFO - Epoch(train) [21][ 200/5005] lr: 1.0000e-01 eta: 1 day, 23:19:39 time: 0.4211 data_time: 0.0021 loss: 1.8548 03/04 02:46:00 - mmengine - INFO - Epoch(train) [21][ 300/5005] lr: 1.0000e-01 eta: 1 day, 23:18:56 time: 0.4175 data_time: 0.0022 loss: 1.8247 03/04 02:46:43 - mmengine - INFO - Epoch(train) [21][ 400/5005] lr: 1.0000e-01 eta: 1 day, 23:18:11 time: 0.4236 data_time: 0.0022 loss: 1.9806 03/04 02:47:25 - mmengine - INFO - Epoch(train) [21][ 500/5005] lr: 1.0000e-01 eta: 1 day, 23:17:28 time: 0.4215 data_time: 0.0023 loss: 1.7384 03/04 02:48:07 - mmengine - INFO - Epoch(train) [21][ 600/5005] lr: 1.0000e-01 eta: 1 day, 23:16:44 time: 0.4191 data_time: 0.0022 loss: 2.1121 03/04 02:48:49 - mmengine - INFO - Epoch(train) [21][ 700/5005] lr: 1.0000e-01 eta: 1 day, 23:16:00 time: 0.4156 data_time: 0.0021 loss: 1.8824 03/04 02:49:32 - mmengine - INFO - Epoch(train) [21][ 800/5005] lr: 1.0000e-01 eta: 1 day, 23:15:15 time: 0.4176 data_time: 0.0021 loss: 1.8680 03/04 02:50:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:50:14 - mmengine - INFO - Epoch(train) [21][ 900/5005] lr: 1.0000e-01 eta: 1 day, 23:14:31 time: 0.4188 data_time: 0.0022 loss: 2.2592 03/04 02:50:56 - mmengine - INFO - Epoch(train) [21][1000/5005] lr: 1.0000e-01 eta: 1 day, 23:13:47 time: 0.4205 data_time: 0.0023 loss: 1.9610 03/04 02:51:38 - mmengine - INFO - Epoch(train) [21][1100/5005] lr: 1.0000e-01 eta: 1 day, 23:13:03 time: 0.4279 data_time: 0.0023 loss: 1.7326 03/04 02:52:20 - mmengine - INFO - Epoch(train) [21][1200/5005] lr: 1.0000e-01 eta: 1 day, 23:12:19 time: 0.4222 data_time: 0.0023 loss: 1.9213 03/04 02:53:03 - mmengine - INFO - Epoch(train) [21][1300/5005] lr: 1.0000e-01 eta: 1 day, 23:11:35 time: 0.4269 data_time: 0.0022 loss: 2.2834 03/04 02:53:45 - mmengine - INFO - Epoch(train) [21][1400/5005] lr: 1.0000e-01 eta: 1 day, 23:10:51 time: 0.4195 data_time: 0.0023 loss: 1.9380 03/04 02:54:27 - mmengine - INFO - Epoch(train) [21][1500/5005] lr: 1.0000e-01 eta: 1 day, 23:10:07 time: 0.4248 data_time: 0.0022 loss: 2.0349 03/04 02:55:09 - mmengine - INFO - Epoch(train) [21][1600/5005] lr: 1.0000e-01 eta: 1 day, 23:09:22 time: 0.4241 data_time: 0.0022 loss: 1.9158 03/04 02:55:52 - mmengine - INFO - Epoch(train) [21][1700/5005] lr: 1.0000e-01 eta: 1 day, 23:08:39 time: 0.4222 data_time: 0.0021 loss: 1.9459 03/04 02:56:34 - mmengine - INFO - Epoch(train) [21][1800/5005] lr: 1.0000e-01 eta: 1 day, 23:07:55 time: 0.4235 data_time: 0.0022 loss: 2.0692 03/04 02:57:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 02:57:16 - mmengine - INFO - Epoch(train) [21][1900/5005] lr: 1.0000e-01 eta: 1 day, 23:07:10 time: 0.4201 data_time: 0.0022 loss: 2.0813 03/04 02:57:58 - mmengine - INFO - Epoch(train) [21][2000/5005] lr: 1.0000e-01 eta: 1 day, 23:06:26 time: 0.4453 data_time: 0.0022 loss: 2.0149 03/04 02:58:40 - mmengine - INFO - Epoch(train) [21][2100/5005] lr: 1.0000e-01 eta: 1 day, 23:05:42 time: 0.4152 data_time: 0.0022 loss: 1.8514 03/04 02:59:22 - mmengine - INFO - Epoch(train) [21][2200/5005] lr: 1.0000e-01 eta: 1 day, 23:04:57 time: 0.4207 data_time: 0.0023 loss: 1.8787 03/04 03:00:04 - mmengine - INFO - Epoch(train) [21][2300/5005] lr: 1.0000e-01 eta: 1 day, 23:04:12 time: 0.4195 data_time: 0.0023 loss: 1.8795 03/04 03:00:46 - mmengine - INFO - Epoch(train) [21][2400/5005] lr: 1.0000e-01 eta: 1 day, 23:03:28 time: 0.4214 data_time: 0.0022 loss: 1.8659 03/04 03:01:29 - mmengine - INFO - Epoch(train) [21][2500/5005] lr: 1.0000e-01 eta: 1 day, 23:02:44 time: 0.4197 data_time: 0.0021 loss: 1.8334 03/04 03:02:11 - mmengine - INFO - Epoch(train) [21][2600/5005] lr: 1.0000e-01 eta: 1 day, 23:02:00 time: 0.4185 data_time: 0.0022 loss: 2.1226 03/04 03:02:53 - mmengine - INFO - Epoch(train) [21][2700/5005] lr: 1.0000e-01 eta: 1 day, 23:01:16 time: 0.4282 data_time: 0.0022 loss: 1.8293 03/04 03:03:35 - mmengine - INFO - Epoch(train) [21][2800/5005] lr: 1.0000e-01 eta: 1 day, 23:00:32 time: 0.4164 data_time: 0.0022 loss: 1.9982 03/04 03:04:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:04:17 - mmengine - INFO - Epoch(train) [21][2900/5005] lr: 1.0000e-01 eta: 1 day, 22:59:47 time: 0.4179 data_time: 0.0021 loss: 2.0413 03/04 03:05:00 - mmengine - INFO - Epoch(train) [21][3000/5005] lr: 1.0000e-01 eta: 1 day, 22:59:04 time: 0.4161 data_time: 0.0022 loss: 1.9106 03/04 03:05:42 - mmengine - INFO - Epoch(train) [21][3100/5005] lr: 1.0000e-01 eta: 1 day, 22:58:20 time: 0.4261 data_time: 0.0024 loss: 1.9214 03/04 03:06:24 - mmengine - INFO - Epoch(train) [21][3200/5005] lr: 1.0000e-01 eta: 1 day, 22:57:36 time: 0.4180 data_time: 0.0023 loss: 2.0684 03/04 03:07:06 - mmengine - INFO - Epoch(train) [21][3300/5005] lr: 1.0000e-01 eta: 1 day, 22:56:51 time: 0.4209 data_time: 0.0022 loss: 1.9264 03/04 03:07:49 - mmengine - INFO - Epoch(train) [21][3400/5005] lr: 1.0000e-01 eta: 1 day, 22:56:07 time: 0.4221 data_time: 0.0023 loss: 1.9847 03/04 03:08:31 - mmengine - INFO - Epoch(train) [21][3500/5005] lr: 1.0000e-01 eta: 1 day, 22:55:23 time: 0.4191 data_time: 0.0022 loss: 2.0549 03/04 03:09:13 - mmengine - INFO - Epoch(train) [21][3600/5005] lr: 1.0000e-01 eta: 1 day, 22:54:40 time: 0.4234 data_time: 0.0022 loss: 1.8886 03/04 03:09:55 - mmengine - INFO - Epoch(train) [21][3700/5005] lr: 1.0000e-01 eta: 1 day, 22:53:55 time: 0.4185 data_time: 0.0023 loss: 2.1438 03/04 03:10:38 - mmengine - INFO - Epoch(train) [21][3800/5005] lr: 1.0000e-01 eta: 1 day, 22:53:12 time: 0.4253 data_time: 0.0022 loss: 2.2094 03/04 03:11:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:11:20 - mmengine - INFO - Epoch(train) [21][3900/5005] lr: 1.0000e-01 eta: 1 day, 22:52:29 time: 0.4221 data_time: 0.0022 loss: 2.1256 03/04 03:12:03 - mmengine - INFO - Epoch(train) [21][4000/5005] lr: 1.0000e-01 eta: 1 day, 22:51:46 time: 0.4222 data_time: 0.0022 loss: 1.7780 03/04 03:12:45 - mmengine - INFO - Epoch(train) [21][4100/5005] lr: 1.0000e-01 eta: 1 day, 22:51:02 time: 0.4191 data_time: 0.0022 loss: 1.9638 03/04 03:13:27 - mmengine - INFO - Epoch(train) [21][4200/5005] lr: 1.0000e-01 eta: 1 day, 22:50:18 time: 0.4193 data_time: 0.0023 loss: 2.0033 03/04 03:14:09 - mmengine - INFO - Epoch(train) [21][4300/5005] lr: 1.0000e-01 eta: 1 day, 22:49:34 time: 0.4187 data_time: 0.0022 loss: 1.8961 03/04 03:14:52 - mmengine - INFO - Epoch(train) [21][4400/5005] lr: 1.0000e-01 eta: 1 day, 22:48:51 time: 0.4346 data_time: 0.0023 loss: 2.1369 03/04 03:15:34 - mmengine - INFO - Epoch(train) [21][4500/5005] lr: 1.0000e-01 eta: 1 day, 22:48:08 time: 0.4188 data_time: 0.0022 loss: 1.8785 03/04 03:16:16 - mmengine - INFO - Epoch(train) [21][4600/5005] lr: 1.0000e-01 eta: 1 day, 22:47:24 time: 0.4226 data_time: 0.0021 loss: 2.0825 03/04 03:16:59 - mmengine - INFO - Epoch(train) [21][4700/5005] lr: 1.0000e-01 eta: 1 day, 22:46:41 time: 0.4225 data_time: 0.0023 loss: 2.1551 03/04 03:17:41 - mmengine - INFO - Epoch(train) [21][4800/5005] lr: 1.0000e-01 eta: 1 day, 22:45:58 time: 0.4252 data_time: 0.0023 loss: 1.9920 03/04 03:18:23 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:18:23 - mmengine - INFO - Epoch(train) [21][4900/5005] lr: 1.0000e-01 eta: 1 day, 22:45:14 time: 0.4225 data_time: 0.0022 loss: 1.8643 03/04 03:19:06 - mmengine - INFO - Epoch(train) [21][5000/5005] lr: 1.0000e-01 eta: 1 day, 22:44:30 time: 0.4173 data_time: 0.0020 loss: 2.1954 03/04 03:19:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:19:09 - mmengine - INFO - Saving checkpoint at 21 epochs 03/04 03:19:20 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:00:09 time: 0.0312 data_time: 0.0006 03/04 03:19:34 - mmengine - INFO - Epoch(val) [21][196/196] accuracy/top1: 60.0560 accuracy/top5: 83.8740 03/04 03:20:19 - mmengine - INFO - Epoch(train) [22][ 100/5005] lr: 1.0000e-01 eta: 1 day, 22:43:55 time: 0.4185 data_time: 0.0023 loss: 1.9930 03/04 03:21:02 - mmengine - INFO - Epoch(train) [22][ 200/5005] lr: 1.0000e-01 eta: 1 day, 22:43:13 time: 0.4181 data_time: 0.0023 loss: 2.0524 03/04 03:21:44 - mmengine - INFO - Epoch(train) [22][ 300/5005] lr: 1.0000e-01 eta: 1 day, 22:42:30 time: 0.4211 data_time: 0.0021 loss: 1.9020 03/04 03:22:27 - mmengine - INFO - Epoch(train) [22][ 400/5005] lr: 1.0000e-01 eta: 1 day, 22:41:46 time: 0.4233 data_time: 0.0022 loss: 1.8123 03/04 03:23:09 - mmengine - INFO - Epoch(train) [22][ 500/5005] lr: 1.0000e-01 eta: 1 day, 22:41:03 time: 0.4204 data_time: 0.0022 loss: 1.9839 03/04 03:23:51 - mmengine - INFO - Epoch(train) [22][ 600/5005] lr: 1.0000e-01 eta: 1 day, 22:40:19 time: 0.4196 data_time: 0.0023 loss: 2.0317 03/04 03:24:34 - mmengine - INFO - Epoch(train) [22][ 700/5005] lr: 1.0000e-01 eta: 1 day, 22:39:35 time: 0.4238 data_time: 0.0023 loss: 1.8695 03/04 03:25:16 - mmengine - INFO - Epoch(train) [22][ 800/5005] lr: 1.0000e-01 eta: 1 day, 22:38:51 time: 0.4196 data_time: 0.0023 loss: 1.9007 03/04 03:25:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:25:58 - mmengine - INFO - Epoch(train) [22][ 900/5005] lr: 1.0000e-01 eta: 1 day, 22:38:08 time: 0.4199 data_time: 0.0023 loss: 1.9174 03/04 03:26:41 - mmengine - INFO - Epoch(train) [22][1000/5005] lr: 1.0000e-01 eta: 1 day, 22:37:24 time: 0.4260 data_time: 0.0022 loss: 2.1639 03/04 03:27:23 - mmengine - INFO - Epoch(train) [22][1100/5005] lr: 1.0000e-01 eta: 1 day, 22:36:41 time: 0.4251 data_time: 0.0024 loss: 1.7037 03/04 03:28:05 - mmengine - INFO - Epoch(train) [22][1200/5005] lr: 1.0000e-01 eta: 1 day, 22:35:57 time: 0.4216 data_time: 0.0023 loss: 1.8730 03/04 03:28:48 - mmengine - INFO - Epoch(train) [22][1300/5005] lr: 1.0000e-01 eta: 1 day, 22:35:14 time: 0.4215 data_time: 0.0022 loss: 2.0934 03/04 03:29:30 - mmengine - INFO - Epoch(train) [22][1400/5005] lr: 1.0000e-01 eta: 1 day, 22:34:30 time: 0.4223 data_time: 0.0022 loss: 1.9069 03/04 03:30:12 - mmengine - INFO - Epoch(train) [22][1500/5005] lr: 1.0000e-01 eta: 1 day, 22:33:46 time: 0.4228 data_time: 0.0022 loss: 1.8208 03/04 03:30:54 - mmengine - INFO - Epoch(train) [22][1600/5005] lr: 1.0000e-01 eta: 1 day, 22:33:03 time: 0.4224 data_time: 0.0022 loss: 2.1195 03/04 03:31:37 - mmengine - INFO - Epoch(train) [22][1700/5005] lr: 1.0000e-01 eta: 1 day, 22:32:19 time: 0.4188 data_time: 0.0023 loss: 1.8476 03/04 03:32:19 - mmengine - INFO - Epoch(train) [22][1800/5005] lr: 1.0000e-01 eta: 1 day, 22:31:35 time: 0.4184 data_time: 0.0022 loss: 1.9766 03/04 03:32:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:33:01 - mmengine - INFO - Epoch(train) [22][1900/5005] lr: 1.0000e-01 eta: 1 day, 22:30:51 time: 0.4240 data_time: 0.0022 loss: 2.1133 03/04 03:33:43 - mmengine - INFO - Epoch(train) [22][2000/5005] lr: 1.0000e-01 eta: 1 day, 22:30:07 time: 0.4226 data_time: 0.0023 loss: 2.0209 03/04 03:34:26 - mmengine - INFO - Epoch(train) [22][2100/5005] lr: 1.0000e-01 eta: 1 day, 22:29:24 time: 0.4218 data_time: 0.0022 loss: 1.8786 03/04 03:35:08 - mmengine - INFO - Epoch(train) [22][2200/5005] lr: 1.0000e-01 eta: 1 day, 22:28:40 time: 0.4268 data_time: 0.0023 loss: 1.9330 03/04 03:35:51 - mmengine - INFO - Epoch(train) [22][2300/5005] lr: 1.0000e-01 eta: 1 day, 22:27:57 time: 0.4313 data_time: 0.0024 loss: 1.8619 03/04 03:36:33 - mmengine - INFO - Epoch(train) [22][2400/5005] lr: 1.0000e-01 eta: 1 day, 22:27:14 time: 0.4264 data_time: 0.0023 loss: 1.9296 03/04 03:37:15 - mmengine - INFO - Epoch(train) [22][2500/5005] lr: 1.0000e-01 eta: 1 day, 22:26:31 time: 0.4266 data_time: 0.0022 loss: 2.0131 03/04 03:37:57 - mmengine - INFO - Epoch(train) [22][2600/5005] lr: 1.0000e-01 eta: 1 day, 22:25:47 time: 0.4275 data_time: 0.0021 loss: 2.0969 03/04 03:38:40 - mmengine - INFO - Epoch(train) [22][2700/5005] lr: 1.0000e-01 eta: 1 day, 22:25:03 time: 0.4185 data_time: 0.0022 loss: 1.8551 03/04 03:39:22 - mmengine - INFO - Epoch(train) [22][2800/5005] lr: 1.0000e-01 eta: 1 day, 22:24:20 time: 0.4248 data_time: 0.0022 loss: 1.9618 03/04 03:40:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:40:04 - mmengine - INFO - Epoch(train) [22][2900/5005] lr: 1.0000e-01 eta: 1 day, 22:23:36 time: 0.4204 data_time: 0.0024 loss: 1.9190 03/04 03:40:47 - mmengine - INFO - Epoch(train) [22][3000/5005] lr: 1.0000e-01 eta: 1 day, 22:22:53 time: 0.4264 data_time: 0.0023 loss: 2.0526 03/04 03:41:29 - mmengine - INFO - Epoch(train) [22][3100/5005] lr: 1.0000e-01 eta: 1 day, 22:22:09 time: 0.4211 data_time: 0.0023 loss: 1.9524 03/04 03:42:12 - mmengine - INFO - Epoch(train) [22][3200/5005] lr: 1.0000e-01 eta: 1 day, 22:21:26 time: 0.4252 data_time: 0.0023 loss: 1.9450 03/04 03:42:54 - mmengine - INFO - Epoch(train) [22][3300/5005] lr: 1.0000e-01 eta: 1 day, 22:20:43 time: 0.4193 data_time: 0.0021 loss: 2.1104 03/04 03:43:36 - mmengine - INFO - Epoch(train) [22][3400/5005] lr: 1.0000e-01 eta: 1 day, 22:19:59 time: 0.4179 data_time: 0.0022 loss: 1.8001 03/04 03:44:18 - mmengine - INFO - Epoch(train) [22][3500/5005] lr: 1.0000e-01 eta: 1 day, 22:19:15 time: 0.4189 data_time: 0.0022 loss: 1.9321 03/04 03:45:01 - mmengine - INFO - Epoch(train) [22][3600/5005] lr: 1.0000e-01 eta: 1 day, 22:18:32 time: 0.4233 data_time: 0.0022 loss: 1.9446 03/04 03:45:43 - mmengine - INFO - Epoch(train) [22][3700/5005] lr: 1.0000e-01 eta: 1 day, 22:17:48 time: 0.4247 data_time: 0.0023 loss: 2.2002 03/04 03:46:25 - mmengine - INFO - Epoch(train) [22][3800/5005] lr: 1.0000e-01 eta: 1 day, 22:17:04 time: 0.4193 data_time: 0.0022 loss: 1.7921 03/04 03:47:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:47:08 - mmengine - INFO - Epoch(train) [22][3900/5005] lr: 1.0000e-01 eta: 1 day, 22:16:21 time: 0.4233 data_time: 0.0023 loss: 2.0718 03/04 03:47:50 - mmengine - INFO - Epoch(train) [22][4000/5005] lr: 1.0000e-01 eta: 1 day, 22:15:37 time: 0.4223 data_time: 0.0021 loss: 2.1111 03/04 03:48:32 - mmengine - INFO - Epoch(train) [22][4100/5005] lr: 1.0000e-01 eta: 1 day, 22:14:52 time: 0.4149 data_time: 0.0021 loss: 1.9814 03/04 03:49:14 - mmengine - INFO - Epoch(train) [22][4200/5005] lr: 1.0000e-01 eta: 1 day, 22:14:09 time: 0.4198 data_time: 0.0023 loss: 2.0200 03/04 03:49:57 - mmengine - INFO - Epoch(train) [22][4300/5005] lr: 1.0000e-01 eta: 1 day, 22:13:26 time: 0.4224 data_time: 0.0023 loss: 2.4761 03/04 03:50:39 - mmengine - INFO - Epoch(train) [22][4400/5005] lr: 1.0000e-01 eta: 1 day, 22:12:42 time: 0.4212 data_time: 0.0022 loss: 2.0908 03/04 03:51:21 - mmengine - INFO - Epoch(train) [22][4500/5005] lr: 1.0000e-01 eta: 1 day, 22:11:58 time: 0.4214 data_time: 0.0022 loss: 2.0331 03/04 03:52:03 - mmengine - INFO - Epoch(train) [22][4600/5005] lr: 1.0000e-01 eta: 1 day, 22:11:15 time: 0.4231 data_time: 0.0022 loss: 1.9833 03/04 03:52:46 - mmengine - INFO - Epoch(train) [22][4700/5005] lr: 1.0000e-01 eta: 1 day, 22:10:31 time: 0.4215 data_time: 0.0022 loss: 1.9520 03/04 03:53:28 - mmengine - INFO - Epoch(train) [22][4800/5005] lr: 1.0000e-01 eta: 1 day, 22:09:47 time: 0.4176 data_time: 0.0022 loss: 1.9068 03/04 03:54:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:54:10 - mmengine - INFO - Epoch(train) [22][4900/5005] lr: 1.0000e-01 eta: 1 day, 22:09:03 time: 0.4182 data_time: 0.0023 loss: 1.9005 03/04 03:54:52 - mmengine - INFO - Epoch(train) [22][5000/5005] lr: 1.0000e-01 eta: 1 day, 22:08:19 time: 0.4306 data_time: 0.0021 loss: 1.9345 03/04 03:54:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 03:54:55 - mmengine - INFO - Saving checkpoint at 22 epochs 03/04 03:55:07 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:00:08 time: 0.0294 data_time: 0.0005 03/04 03:55:21 - mmengine - INFO - Epoch(val) [22][196/196] accuracy/top1: 58.9120 accuracy/top5: 83.3860 03/04 03:56:06 - mmengine - INFO - Epoch(train) [23][ 100/5005] lr: 1.0000e-01 eta: 1 day, 22:07:45 time: 0.4224 data_time: 0.0027 loss: 1.8024 03/04 03:56:49 - mmengine - INFO - Epoch(train) [23][ 200/5005] lr: 1.0000e-01 eta: 1 day, 22:07:03 time: 0.4177 data_time: 0.0029 loss: 1.9247 03/04 03:57:32 - mmengine - INFO - Epoch(train) [23][ 300/5005] lr: 1.0000e-01 eta: 1 day, 22:06:21 time: 0.4172 data_time: 0.0023 loss: 1.7666 03/04 03:58:14 - mmengine - INFO - Epoch(train) [23][ 400/5005] lr: 1.0000e-01 eta: 1 day, 22:05:38 time: 0.4427 data_time: 0.0023 loss: 1.9928 03/04 03:58:57 - mmengine - INFO - Epoch(train) [23][ 500/5005] lr: 1.0000e-01 eta: 1 day, 22:04:55 time: 0.4251 data_time: 0.0023 loss: 2.0531 03/04 03:59:39 - mmengine - INFO - Epoch(train) [23][ 600/5005] lr: 1.0000e-01 eta: 1 day, 22:04:11 time: 0.4221 data_time: 0.0025 loss: 1.9256 03/04 04:00:21 - mmengine - INFO - Epoch(train) [23][ 700/5005] lr: 1.0000e-01 eta: 1 day, 22:03:27 time: 0.4177 data_time: 0.0024 loss: 1.8432 03/04 04:01:03 - mmengine - INFO - Epoch(train) [23][ 800/5005] lr: 1.0000e-01 eta: 1 day, 22:02:43 time: 0.4209 data_time: 0.0023 loss: 1.7090 03/04 04:01:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:01:45 - mmengine - INFO - Epoch(train) [23][ 900/5005] lr: 1.0000e-01 eta: 1 day, 22:01:59 time: 0.4180 data_time: 0.0023 loss: 1.8769 03/04 04:02:28 - mmengine - INFO - Epoch(train) [23][1000/5005] lr: 1.0000e-01 eta: 1 day, 22:01:16 time: 0.4163 data_time: 0.0023 loss: 2.1061 03/04 04:03:10 - mmengine - INFO - Epoch(train) [23][1100/5005] lr: 1.0000e-01 eta: 1 day, 22:00:32 time: 0.4221 data_time: 0.0022 loss: 1.8184 03/04 04:03:52 - mmengine - INFO - Epoch(train) [23][1200/5005] lr: 1.0000e-01 eta: 1 day, 21:59:48 time: 0.4265 data_time: 0.0023 loss: 2.0317 03/04 04:04:34 - mmengine - INFO - Epoch(train) [23][1300/5005] lr: 1.0000e-01 eta: 1 day, 21:59:04 time: 0.4232 data_time: 0.0023 loss: 1.8814 03/04 04:05:17 - mmengine - INFO - Epoch(train) [23][1400/5005] lr: 1.0000e-01 eta: 1 day, 21:58:20 time: 0.4223 data_time: 0.0023 loss: 2.0516 03/04 04:05:59 - mmengine - INFO - Epoch(train) [23][1500/5005] lr: 1.0000e-01 eta: 1 day, 21:57:37 time: 0.4197 data_time: 0.0023 loss: 1.8412 03/04 04:06:41 - mmengine - INFO - Epoch(train) [23][1600/5005] lr: 1.0000e-01 eta: 1 day, 21:56:53 time: 0.4214 data_time: 0.0022 loss: 2.0180 03/04 04:07:23 - mmengine - INFO - Epoch(train) [23][1700/5005] lr: 1.0000e-01 eta: 1 day, 21:56:09 time: 0.4228 data_time: 0.0022 loss: 1.7528 03/04 04:08:06 - mmengine - INFO - Epoch(train) [23][1800/5005] lr: 1.0000e-01 eta: 1 day, 21:55:25 time: 0.4222 data_time: 0.0021 loss: 2.1219 03/04 04:08:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:08:48 - mmengine - INFO - Epoch(train) [23][1900/5005] lr: 1.0000e-01 eta: 1 day, 21:54:42 time: 0.4227 data_time: 0.0024 loss: 1.9973 03/04 04:09:30 - mmengine - INFO - Epoch(train) [23][2000/5005] lr: 1.0000e-01 eta: 1 day, 21:53:58 time: 0.4229 data_time: 0.0021 loss: 1.7099 03/04 04:10:12 - mmengine - INFO - Epoch(train) [23][2100/5005] lr: 1.0000e-01 eta: 1 day, 21:53:15 time: 0.4237 data_time: 0.0022 loss: 2.1050 03/04 04:10:55 - mmengine - INFO - Epoch(train) [23][2200/5005] lr: 1.0000e-01 eta: 1 day, 21:52:32 time: 0.4253 data_time: 0.0022 loss: 2.0868 03/04 04:11:37 - mmengine - INFO - Epoch(train) [23][2300/5005] lr: 1.0000e-01 eta: 1 day, 21:51:48 time: 0.4221 data_time: 0.0023 loss: 2.2000 03/04 04:12:19 - mmengine - INFO - Epoch(train) [23][2400/5005] lr: 1.0000e-01 eta: 1 day, 21:51:05 time: 0.4214 data_time: 0.0022 loss: 2.0280 03/04 04:13:02 - mmengine - INFO - Epoch(train) [23][2500/5005] lr: 1.0000e-01 eta: 1 day, 21:50:20 time: 0.4186 data_time: 0.0024 loss: 2.1214 03/04 04:13:44 - mmengine - INFO - Epoch(train) [23][2600/5005] lr: 1.0000e-01 eta: 1 day, 21:49:36 time: 0.4184 data_time: 0.0022 loss: 1.8482 03/04 04:14:26 - mmengine - INFO - Epoch(train) [23][2700/5005] lr: 1.0000e-01 eta: 1 day, 21:48:52 time: 0.4205 data_time: 0.0023 loss: 1.7980 03/04 04:15:08 - mmengine - INFO - Epoch(train) [23][2800/5005] lr: 1.0000e-01 eta: 1 day, 21:48:08 time: 0.4181 data_time: 0.0022 loss: 2.0029 03/04 04:15:46 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:15:50 - mmengine - INFO - Epoch(train) [23][2900/5005] lr: 1.0000e-01 eta: 1 day, 21:47:24 time: 0.4210 data_time: 0.0023 loss: 2.0739 03/04 04:16:32 - mmengine - INFO - Epoch(train) [23][3000/5005] lr: 1.0000e-01 eta: 1 day, 21:46:40 time: 0.4239 data_time: 0.0022 loss: 2.0179 03/04 04:17:14 - mmengine - INFO - Epoch(train) [23][3100/5005] lr: 1.0000e-01 eta: 1 day, 21:45:56 time: 0.4209 data_time: 0.0023 loss: 1.9861 03/04 04:17:57 - mmengine - INFO - Epoch(train) [23][3200/5005] lr: 1.0000e-01 eta: 1 day, 21:45:12 time: 0.4173 data_time: 0.0022 loss: 1.9604 03/04 04:18:39 - mmengine - INFO - Epoch(train) [23][3300/5005] lr: 1.0000e-01 eta: 1 day, 21:44:29 time: 0.4264 data_time: 0.0022 loss: 1.9367 03/04 04:19:21 - mmengine - INFO - Epoch(train) [23][3400/5005] lr: 1.0000e-01 eta: 1 day, 21:43:45 time: 0.4246 data_time: 0.0022 loss: 2.1738 03/04 04:20:04 - mmengine - INFO - Epoch(train) [23][3500/5005] lr: 1.0000e-01 eta: 1 day, 21:43:02 time: 0.4247 data_time: 0.0022 loss: 2.0669 03/04 04:20:46 - mmengine - INFO - Epoch(train) [23][3600/5005] lr: 1.0000e-01 eta: 1 day, 21:42:19 time: 0.4273 data_time: 0.0024 loss: 2.1291 03/04 04:21:28 - mmengine - INFO - Epoch(train) [23][3700/5005] lr: 1.0000e-01 eta: 1 day, 21:41:35 time: 0.4227 data_time: 0.0023 loss: 1.9977 03/04 04:22:10 - mmengine - INFO - Epoch(train) [23][3800/5005] lr: 1.0000e-01 eta: 1 day, 21:40:51 time: 0.4227 data_time: 0.0023 loss: 2.0063 03/04 04:22:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:22:52 - mmengine - INFO - Epoch(train) [23][3900/5005] lr: 1.0000e-01 eta: 1 day, 21:40:07 time: 0.4183 data_time: 0.0023 loss: 2.0743 03/04 04:23:35 - mmengine - INFO - Epoch(train) [23][4000/5005] lr: 1.0000e-01 eta: 1 day, 21:39:23 time: 0.4195 data_time: 0.0022 loss: 2.0341 03/04 04:24:17 - mmengine - INFO - Epoch(train) [23][4100/5005] lr: 1.0000e-01 eta: 1 day, 21:38:40 time: 0.4266 data_time: 0.0022 loss: 1.9660 03/04 04:24:59 - mmengine - INFO - Epoch(train) [23][4200/5005] lr: 1.0000e-01 eta: 1 day, 21:37:56 time: 0.4254 data_time: 0.0021 loss: 1.8261 03/04 04:25:41 - mmengine - INFO - Epoch(train) [23][4300/5005] lr: 1.0000e-01 eta: 1 day, 21:37:13 time: 0.4246 data_time: 0.0022 loss: 1.9863 03/04 04:26:24 - mmengine - INFO - Epoch(train) [23][4400/5005] lr: 1.0000e-01 eta: 1 day, 21:36:29 time: 0.4291 data_time: 0.0022 loss: 1.8374 03/04 04:27:06 - mmengine - INFO - Epoch(train) [23][4500/5005] lr: 1.0000e-01 eta: 1 day, 21:35:46 time: 0.4273 data_time: 0.0021 loss: 2.0751 03/04 04:27:48 - mmengine - INFO - Epoch(train) [23][4600/5005] lr: 1.0000e-01 eta: 1 day, 21:35:02 time: 0.4216 data_time: 0.0023 loss: 1.9648 03/04 04:28:31 - mmengine - INFO - Epoch(train) [23][4700/5005] lr: 1.0000e-01 eta: 1 day, 21:34:19 time: 0.4186 data_time: 0.0023 loss: 1.8449 03/04 04:29:13 - mmengine - INFO - Epoch(train) [23][4800/5005] lr: 1.0000e-01 eta: 1 day, 21:33:35 time: 0.4169 data_time: 0.0022 loss: 1.8867 03/04 04:29:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:29:55 - mmengine - INFO - Epoch(train) [23][4900/5005] lr: 1.0000e-01 eta: 1 day, 21:32:51 time: 0.4176 data_time: 0.0022 loss: 2.0172 03/04 04:30:37 - mmengine - INFO - Epoch(train) [23][5000/5005] lr: 1.0000e-01 eta: 1 day, 21:32:06 time: 0.4137 data_time: 0.0021 loss: 2.2522 03/04 04:30:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:30:40 - mmengine - INFO - Saving checkpoint at 23 epochs 03/04 04:30:52 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:00:09 time: 0.0310 data_time: 0.0005 03/04 04:31:05 - mmengine - INFO - Epoch(val) [23][196/196] accuracy/top1: 59.3580 accuracy/top5: 83.6000 03/04 04:31:51 - mmengine - INFO - Epoch(train) [24][ 100/5005] lr: 1.0000e-01 eta: 1 day, 21:31:32 time: 0.4179 data_time: 0.0023 loss: 1.9505 03/04 04:32:33 - mmengine - INFO - Epoch(train) [24][ 200/5005] lr: 1.0000e-01 eta: 1 day, 21:30:49 time: 0.4218 data_time: 0.0021 loss: 1.7884 03/04 04:33:15 - mmengine - INFO - Epoch(train) [24][ 300/5005] lr: 1.0000e-01 eta: 1 day, 21:30:05 time: 0.4268 data_time: 0.0022 loss: 1.9975 03/04 04:33:58 - mmengine - INFO - Epoch(train) [24][ 400/5005] lr: 1.0000e-01 eta: 1 day, 21:29:21 time: 0.4197 data_time: 0.0023 loss: 1.7940 03/04 04:34:40 - mmengine - INFO - Epoch(train) [24][ 500/5005] lr: 1.0000e-01 eta: 1 day, 21:28:38 time: 0.4177 data_time: 0.0024 loss: 1.7420 03/04 04:35:22 - mmengine - INFO - Epoch(train) [24][ 600/5005] lr: 1.0000e-01 eta: 1 day, 21:27:55 time: 0.4256 data_time: 0.0023 loss: 1.7743 03/04 04:36:05 - mmengine - INFO - Epoch(train) [24][ 700/5005] lr: 1.0000e-01 eta: 1 day, 21:27:11 time: 0.4187 data_time: 0.0023 loss: 1.9329 03/04 04:36:47 - mmengine - INFO - Epoch(train) [24][ 800/5005] lr: 1.0000e-01 eta: 1 day, 21:26:27 time: 0.4181 data_time: 0.0023 loss: 2.0914 03/04 04:37:23 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:37:29 - mmengine - INFO - Epoch(train) [24][ 900/5005] lr: 1.0000e-01 eta: 1 day, 21:25:44 time: 0.4205 data_time: 0.0024 loss: 2.0788 03/04 04:38:11 - mmengine - INFO - Epoch(train) [24][1000/5005] lr: 1.0000e-01 eta: 1 day, 21:25:00 time: 0.4241 data_time: 0.0022 loss: 2.0394 03/04 04:38:53 - mmengine - INFO - Epoch(train) [24][1100/5005] lr: 1.0000e-01 eta: 1 day, 21:24:16 time: 0.4163 data_time: 0.0022 loss: 1.8607 03/04 04:39:35 - mmengine - INFO - Epoch(train) [24][1200/5005] lr: 1.0000e-01 eta: 1 day, 21:23:32 time: 0.4206 data_time: 0.0024 loss: 1.8322 03/04 04:40:18 - mmengine - INFO - Epoch(train) [24][1300/5005] lr: 1.0000e-01 eta: 1 day, 21:22:48 time: 0.4276 data_time: 0.0021 loss: 2.0101 03/04 04:41:00 - mmengine - INFO - Epoch(train) [24][1400/5005] lr: 1.0000e-01 eta: 1 day, 21:22:03 time: 0.4249 data_time: 0.0022 loss: 1.8737 03/04 04:41:42 - mmengine - INFO - Epoch(train) [24][1500/5005] lr: 1.0000e-01 eta: 1 day, 21:21:20 time: 0.4181 data_time: 0.0024 loss: 1.7422 03/04 04:42:24 - mmengine - INFO - Epoch(train) [24][1600/5005] lr: 1.0000e-01 eta: 1 day, 21:20:36 time: 0.4216 data_time: 0.0022 loss: 2.0086 03/04 04:43:06 - mmengine - INFO - Epoch(train) [24][1700/5005] lr: 1.0000e-01 eta: 1 day, 21:19:53 time: 0.4232 data_time: 0.0023 loss: 2.1788 03/04 04:43:49 - mmengine - INFO - Epoch(train) [24][1800/5005] lr: 1.0000e-01 eta: 1 day, 21:19:09 time: 0.4208 data_time: 0.0022 loss: 1.8899 03/04 04:44:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:44:31 - mmengine - INFO - Epoch(train) [24][1900/5005] lr: 1.0000e-01 eta: 1 day, 21:18:25 time: 0.4210 data_time: 0.0024 loss: 2.0259 03/04 04:45:13 - mmengine - INFO - Epoch(train) [24][2000/5005] lr: 1.0000e-01 eta: 1 day, 21:17:41 time: 0.4217 data_time: 0.0023 loss: 1.9648 03/04 04:45:55 - mmengine - INFO - Epoch(train) [24][2100/5005] lr: 1.0000e-01 eta: 1 day, 21:16:57 time: 0.4184 data_time: 0.0023 loss: 2.0105 03/04 04:46:37 - mmengine - INFO - Epoch(train) [24][2200/5005] lr: 1.0000e-01 eta: 1 day, 21:16:13 time: 0.4189 data_time: 0.0021 loss: 2.0552 03/04 04:47:19 - mmengine - INFO - Epoch(train) [24][2300/5005] lr: 1.0000e-01 eta: 1 day, 21:15:30 time: 0.4211 data_time: 0.0023 loss: 2.0101 03/04 04:48:02 - mmengine - INFO - Epoch(train) [24][2400/5005] lr: 1.0000e-01 eta: 1 day, 21:14:46 time: 0.4242 data_time: 0.0023 loss: 1.8227 03/04 04:48:44 - mmengine - INFO - Epoch(train) [24][2500/5005] lr: 1.0000e-01 eta: 1 day, 21:14:02 time: 0.4144 data_time: 0.0022 loss: 2.0875 03/04 04:49:26 - mmengine - INFO - Epoch(train) [24][2600/5005] lr: 1.0000e-01 eta: 1 day, 21:13:19 time: 0.4268 data_time: 0.0022 loss: 1.7992 03/04 04:50:08 - mmengine - INFO - Epoch(train) [24][2700/5005] lr: 1.0000e-01 eta: 1 day, 21:12:35 time: 0.4218 data_time: 0.0023 loss: 1.8570 03/04 04:50:51 - mmengine - INFO - Epoch(train) [24][2800/5005] lr: 1.0000e-01 eta: 1 day, 21:11:51 time: 0.4175 data_time: 0.0023 loss: 1.7874 03/04 04:51:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:51:33 - mmengine - INFO - Epoch(train) [24][2900/5005] lr: 1.0000e-01 eta: 1 day, 21:11:08 time: 0.4230 data_time: 0.0022 loss: 1.9370 03/04 04:52:15 - mmengine - INFO - Epoch(train) [24][3000/5005] lr: 1.0000e-01 eta: 1 day, 21:10:24 time: 0.4204 data_time: 0.0022 loss: 1.7647 03/04 04:52:57 - mmengine - INFO - Epoch(train) [24][3100/5005] lr: 1.0000e-01 eta: 1 day, 21:09:40 time: 0.4247 data_time: 0.0022 loss: 1.8078 03/04 04:53:39 - mmengine - INFO - Epoch(train) [24][3200/5005] lr: 1.0000e-01 eta: 1 day, 21:08:57 time: 0.4223 data_time: 0.0022 loss: 1.9254 03/04 04:54:22 - mmengine - INFO - Epoch(train) [24][3300/5005] lr: 1.0000e-01 eta: 1 day, 21:08:13 time: 0.4249 data_time: 0.0022 loss: 2.0077 03/04 04:55:04 - mmengine - INFO - Epoch(train) [24][3400/5005] lr: 1.0000e-01 eta: 1 day, 21:07:29 time: 0.4209 data_time: 0.0022 loss: 2.0007 03/04 04:55:46 - mmengine - INFO - Epoch(train) [24][3500/5005] lr: 1.0000e-01 eta: 1 day, 21:06:45 time: 0.4219 data_time: 0.0023 loss: 1.8293 03/04 04:56:28 - mmengine - INFO - Epoch(train) [24][3600/5005] lr: 1.0000e-01 eta: 1 day, 21:06:01 time: 0.4176 data_time: 0.0024 loss: 1.8769 03/04 04:57:10 - mmengine - INFO - Epoch(train) [24][3700/5005] lr: 1.0000e-01 eta: 1 day, 21:05:17 time: 0.4202 data_time: 0.0022 loss: 1.9153 03/04 04:57:52 - mmengine - INFO - Epoch(train) [24][3800/5005] lr: 1.0000e-01 eta: 1 day, 21:04:34 time: 0.4314 data_time: 0.0023 loss: 1.9647 03/04 04:58:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 04:58:35 - mmengine - INFO - Epoch(train) [24][3900/5005] lr: 1.0000e-01 eta: 1 day, 21:03:50 time: 0.4234 data_time: 0.0022 loss: 2.0965 03/04 04:59:17 - mmengine - INFO - Epoch(train) [24][4000/5005] lr: 1.0000e-01 eta: 1 day, 21:03:06 time: 0.4233 data_time: 0.0023 loss: 1.6781 03/04 04:59:59 - mmengine - INFO - Epoch(train) [24][4100/5005] lr: 1.0000e-01 eta: 1 day, 21:02:22 time: 0.4197 data_time: 0.0022 loss: 2.0983 03/04 05:00:41 - mmengine - INFO - Epoch(train) [24][4200/5005] lr: 1.0000e-01 eta: 1 day, 21:01:39 time: 0.4218 data_time: 0.0022 loss: 1.8136 03/04 05:01:23 - mmengine - INFO - Epoch(train) [24][4300/5005] lr: 1.0000e-01 eta: 1 day, 21:00:55 time: 0.4209 data_time: 0.0023 loss: 2.0329 03/04 05:02:05 - mmengine - INFO - Epoch(train) [24][4400/5005] lr: 1.0000e-01 eta: 1 day, 21:00:11 time: 0.4202 data_time: 0.0024 loss: 2.0972 03/04 05:02:48 - mmengine - INFO - Epoch(train) [24][4500/5005] lr: 1.0000e-01 eta: 1 day, 20:59:27 time: 0.4254 data_time: 0.0023 loss: 1.9374 03/04 05:03:30 - mmengine - INFO - Epoch(train) [24][4600/5005] lr: 1.0000e-01 eta: 1 day, 20:58:44 time: 0.4160 data_time: 0.0023 loss: 1.9572 03/04 05:04:12 - mmengine - INFO - Epoch(train) [24][4700/5005] lr: 1.0000e-01 eta: 1 day, 20:58:01 time: 0.4182 data_time: 0.0023 loss: 1.8689 03/04 05:04:55 - mmengine - INFO - Epoch(train) [24][4800/5005] lr: 1.0000e-01 eta: 1 day, 20:57:17 time: 0.4250 data_time: 0.0022 loss: 1.9086 03/04 05:05:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:05:37 - mmengine - INFO - Epoch(train) [24][4900/5005] lr: 1.0000e-01 eta: 1 day, 20:56:34 time: 0.4195 data_time: 0.0022 loss: 1.8435 03/04 05:06:19 - mmengine - INFO - Epoch(train) [24][5000/5005] lr: 1.0000e-01 eta: 1 day, 20:55:51 time: 0.4230 data_time: 0.0020 loss: 2.0068 03/04 05:06:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:06:22 - mmengine - INFO - Saving checkpoint at 24 epochs 03/04 05:06:34 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:00:08 time: 0.0302 data_time: 0.0006 03/04 05:06:48 - mmengine - INFO - Epoch(val) [24][196/196] accuracy/top1: 59.8220 accuracy/top5: 83.8980 03/04 05:07:33 - mmengine - INFO - Epoch(train) [25][ 100/5005] lr: 1.0000e-01 eta: 1 day, 20:55:16 time: 0.4283 data_time: 0.0027 loss: 1.9517 03/04 05:08:15 - mmengine - INFO - Epoch(train) [25][ 200/5005] lr: 1.0000e-01 eta: 1 day, 20:54:32 time: 0.4190 data_time: 0.0025 loss: 1.8114 03/04 05:08:58 - mmengine - INFO - Epoch(train) [25][ 300/5005] lr: 1.0000e-01 eta: 1 day, 20:53:49 time: 0.4292 data_time: 0.0024 loss: 1.9922 03/04 05:09:40 - mmengine - INFO - Epoch(train) [25][ 400/5005] lr: 1.0000e-01 eta: 1 day, 20:53:05 time: 0.4279 data_time: 0.0024 loss: 1.9590 03/04 05:10:22 - mmengine - INFO - Epoch(train) [25][ 500/5005] lr: 1.0000e-01 eta: 1 day, 20:52:22 time: 0.4268 data_time: 0.0026 loss: 1.9619 03/04 05:11:04 - mmengine - INFO - Epoch(train) [25][ 600/5005] lr: 1.0000e-01 eta: 1 day, 20:51:38 time: 0.4166 data_time: 0.0023 loss: 1.9168 03/04 05:11:47 - mmengine - INFO - Epoch(train) [25][ 700/5005] lr: 1.0000e-01 eta: 1 day, 20:50:55 time: 0.4236 data_time: 0.0023 loss: 1.9647 03/04 05:12:29 - mmengine - INFO - Epoch(train) [25][ 800/5005] lr: 1.0000e-01 eta: 1 day, 20:50:11 time: 0.4240 data_time: 0.0024 loss: 2.0220 03/04 05:13:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:13:11 - mmengine - INFO - Epoch(train) [25][ 900/5005] lr: 1.0000e-01 eta: 1 day, 20:49:28 time: 0.4193 data_time: 0.0023 loss: 1.9388 03/04 05:13:53 - mmengine - INFO - Epoch(train) [25][1000/5005] lr: 1.0000e-01 eta: 1 day, 20:48:45 time: 0.4204 data_time: 0.0025 loss: 2.1519 03/04 05:14:36 - mmengine - INFO - Epoch(train) [25][1100/5005] lr: 1.0000e-01 eta: 1 day, 20:48:01 time: 0.4219 data_time: 0.0024 loss: 1.9230 03/04 05:15:18 - mmengine - INFO - Epoch(train) [25][1200/5005] lr: 1.0000e-01 eta: 1 day, 20:47:18 time: 0.4241 data_time: 0.0024 loss: 1.9648 03/04 05:16:00 - mmengine - INFO - Epoch(train) [25][1300/5005] lr: 1.0000e-01 eta: 1 day, 20:46:34 time: 0.4178 data_time: 0.0023 loss: 1.8224 03/04 05:16:43 - mmengine - INFO - Epoch(train) [25][1400/5005] lr: 1.0000e-01 eta: 1 day, 20:45:51 time: 0.4212 data_time: 0.0022 loss: 1.8951 03/04 05:17:25 - mmengine - INFO - Epoch(train) [25][1500/5005] lr: 1.0000e-01 eta: 1 day, 20:45:07 time: 0.4195 data_time: 0.0022 loss: 2.0014 03/04 05:18:07 - mmengine - INFO - Epoch(train) [25][1600/5005] lr: 1.0000e-01 eta: 1 day, 20:44:24 time: 0.4260 data_time: 0.0023 loss: 1.9699 03/04 05:18:50 - mmengine - INFO - Epoch(train) [25][1700/5005] lr: 1.0000e-01 eta: 1 day, 20:43:41 time: 0.4232 data_time: 0.0022 loss: 1.8587 03/04 05:19:32 - mmengine - INFO - Epoch(train) [25][1800/5005] lr: 1.0000e-01 eta: 1 day, 20:42:58 time: 0.4221 data_time: 0.0023 loss: 2.0536 03/04 05:20:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:20:14 - mmengine - INFO - Epoch(train) [25][1900/5005] lr: 1.0000e-01 eta: 1 day, 20:42:15 time: 0.4183 data_time: 0.0024 loss: 1.9404 03/04 05:20:57 - mmengine - INFO - Epoch(train) [25][2000/5005] lr: 1.0000e-01 eta: 1 day, 20:41:33 time: 0.4186 data_time: 0.0022 loss: 2.0640 03/04 05:21:39 - mmengine - INFO - Epoch(train) [25][2100/5005] lr: 1.0000e-01 eta: 1 day, 20:40:49 time: 0.4197 data_time: 0.0023 loss: 2.0101 03/04 05:22:22 - mmengine - INFO - Epoch(train) [25][2200/5005] lr: 1.0000e-01 eta: 1 day, 20:40:07 time: 0.4289 data_time: 0.0023 loss: 2.1045 03/04 05:23:04 - mmengine - INFO - Epoch(train) [25][2300/5005] lr: 1.0000e-01 eta: 1 day, 20:39:23 time: 0.4179 data_time: 0.0023 loss: 1.9980 03/04 05:23:46 - mmengine - INFO - Epoch(train) [25][2400/5005] lr: 1.0000e-01 eta: 1 day, 20:38:40 time: 0.4232 data_time: 0.0023 loss: 1.9499 03/04 05:24:29 - mmengine - INFO - Epoch(train) [25][2500/5005] lr: 1.0000e-01 eta: 1 day, 20:37:56 time: 0.4245 data_time: 0.0022 loss: 1.9158 03/04 05:25:11 - mmengine - INFO - Epoch(train) [25][2600/5005] lr: 1.0000e-01 eta: 1 day, 20:37:12 time: 0.4220 data_time: 0.0022 loss: 2.0530 03/04 05:25:53 - mmengine - INFO - Epoch(train) [25][2700/5005] lr: 1.0000e-01 eta: 1 day, 20:36:29 time: 0.4237 data_time: 0.0023 loss: 2.0995 03/04 05:26:35 - mmengine - INFO - Epoch(train) [25][2800/5005] lr: 1.0000e-01 eta: 1 day, 20:35:46 time: 0.4221 data_time: 0.0023 loss: 1.8622 03/04 05:27:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:27:18 - mmengine - INFO - Epoch(train) [25][2900/5005] lr: 1.0000e-01 eta: 1 day, 20:35:02 time: 0.4241 data_time: 0.0022 loss: 1.7648 03/04 05:28:00 - mmengine - INFO - Epoch(train) [25][3000/5005] lr: 1.0000e-01 eta: 1 day, 20:34:19 time: 0.4195 data_time: 0.0023 loss: 1.8997 03/04 05:28:42 - mmengine - INFO - Epoch(train) [25][3100/5005] lr: 1.0000e-01 eta: 1 day, 20:33:36 time: 0.4246 data_time: 0.0023 loss: 2.0472 03/04 05:29:24 - mmengine - INFO - Epoch(train) [25][3200/5005] lr: 1.0000e-01 eta: 1 day, 20:32:53 time: 0.4204 data_time: 0.0022 loss: 1.9387 03/04 05:30:07 - mmengine - INFO - Epoch(train) [25][3300/5005] lr: 1.0000e-01 eta: 1 day, 20:32:09 time: 0.4210 data_time: 0.0022 loss: 2.0410 03/04 05:30:49 - mmengine - INFO - Epoch(train) [25][3400/5005] lr: 1.0000e-01 eta: 1 day, 20:31:26 time: 0.4238 data_time: 0.0022 loss: 2.0046 03/04 05:31:31 - mmengine - INFO - Epoch(train) [25][3500/5005] lr: 1.0000e-01 eta: 1 day, 20:30:42 time: 0.4210 data_time: 0.0023 loss: 2.0284 03/04 05:32:13 - mmengine - INFO - Epoch(train) [25][3600/5005] lr: 1.0000e-01 eta: 1 day, 20:29:59 time: 0.4225 data_time: 0.0022 loss: 1.8704 03/04 05:32:56 - mmengine - INFO - Epoch(train) [25][3700/5005] lr: 1.0000e-01 eta: 1 day, 20:29:16 time: 0.4191 data_time: 0.0023 loss: 1.9841 03/04 05:33:38 - mmengine - INFO - Epoch(train) [25][3800/5005] lr: 1.0000e-01 eta: 1 day, 20:28:33 time: 0.4236 data_time: 0.0023 loss: 1.9741 03/04 05:34:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:34:21 - mmengine - INFO - Epoch(train) [25][3900/5005] lr: 1.0000e-01 eta: 1 day, 20:27:51 time: 0.4233 data_time: 0.0022 loss: 2.1296 03/04 05:35:04 - mmengine - INFO - Epoch(train) [25][4000/5005] lr: 1.0000e-01 eta: 1 day, 20:27:09 time: 0.4212 data_time: 0.0022 loss: 2.1999 03/04 05:35:46 - mmengine - INFO - Epoch(train) [25][4100/5005] lr: 1.0000e-01 eta: 1 day, 20:26:26 time: 0.4222 data_time: 0.0024 loss: 2.0648 03/04 05:36:29 - mmengine - INFO - Epoch(train) [25][4200/5005] lr: 1.0000e-01 eta: 1 day, 20:25:43 time: 0.4222 data_time: 0.0022 loss: 2.1422 03/04 05:37:11 - mmengine - INFO - Epoch(train) [25][4300/5005] lr: 1.0000e-01 eta: 1 day, 20:24:59 time: 0.4206 data_time: 0.0023 loss: 2.0947 03/04 05:37:53 - mmengine - INFO - Epoch(train) [25][4400/5005] lr: 1.0000e-01 eta: 1 day, 20:24:16 time: 0.4289 data_time: 0.0023 loss: 1.9097 03/04 05:38:35 - mmengine - INFO - Epoch(train) [25][4500/5005] lr: 1.0000e-01 eta: 1 day, 20:23:33 time: 0.4203 data_time: 0.0025 loss: 2.0157 03/04 05:39:18 - mmengine - INFO - Epoch(train) [25][4600/5005] lr: 1.0000e-01 eta: 1 day, 20:22:50 time: 0.4251 data_time: 0.0024 loss: 1.8386 03/04 05:40:00 - mmengine - INFO - Epoch(train) [25][4700/5005] lr: 1.0000e-01 eta: 1 day, 20:22:07 time: 0.4239 data_time: 0.0024 loss: 1.6964 03/04 05:40:43 - mmengine - INFO - Epoch(train) [25][4800/5005] lr: 1.0000e-01 eta: 1 day, 20:21:24 time: 0.4174 data_time: 0.0023 loss: 1.9826 03/04 05:41:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:41:25 - mmengine - INFO - Epoch(train) [25][4900/5005] lr: 1.0000e-01 eta: 1 day, 20:20:42 time: 0.4299 data_time: 0.0022 loss: 1.9473 03/04 05:42:08 - mmengine - INFO - Epoch(train) [25][5000/5005] lr: 1.0000e-01 eta: 1 day, 20:19:59 time: 0.4195 data_time: 0.0020 loss: 1.9881 03/04 05:42:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:42:11 - mmengine - INFO - Saving checkpoint at 25 epochs 03/04 05:42:22 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:00:08 time: 0.0290 data_time: 0.0006 03/04 05:42:36 - mmengine - INFO - Epoch(val) [25][196/196] accuracy/top1: 59.6360 accuracy/top5: 84.0260 03/04 05:43:21 - mmengine - INFO - Epoch(train) [26][ 100/5005] lr: 1.0000e-01 eta: 1 day, 20:19:22 time: 0.4228 data_time: 0.0028 loss: 2.0339 03/04 05:44:04 - mmengine - INFO - Epoch(train) [26][ 200/5005] lr: 1.0000e-01 eta: 1 day, 20:18:40 time: 0.4211 data_time: 0.0024 loss: 1.8437 03/04 05:44:46 - mmengine - INFO - Epoch(train) [26][ 300/5005] lr: 1.0000e-01 eta: 1 day, 20:17:57 time: 0.4226 data_time: 0.0023 loss: 2.0321 03/04 05:45:29 - mmengine - INFO - Epoch(train) [26][ 400/5005] lr: 1.0000e-01 eta: 1 day, 20:17:15 time: 0.4251 data_time: 0.0022 loss: 1.7680 03/04 05:46:11 - mmengine - INFO - Epoch(train) [26][ 500/5005] lr: 1.0000e-01 eta: 1 day, 20:16:31 time: 0.4234 data_time: 0.0023 loss: 2.0483 03/04 05:46:53 - mmengine - INFO - Epoch(train) [26][ 600/5005] lr: 1.0000e-01 eta: 1 day, 20:15:47 time: 0.4203 data_time: 0.0023 loss: 2.2241 03/04 05:47:36 - mmengine - INFO - Epoch(train) [26][ 700/5005] lr: 1.0000e-01 eta: 1 day, 20:15:04 time: 0.4174 data_time: 0.0024 loss: 1.9438 03/04 05:48:18 - mmengine - INFO - Epoch(train) [26][ 800/5005] lr: 1.0000e-01 eta: 1 day, 20:14:21 time: 0.4192 data_time: 0.0024 loss: 2.0026 03/04 05:48:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:49:00 - mmengine - INFO - Epoch(train) [26][ 900/5005] lr: 1.0000e-01 eta: 1 day, 20:13:38 time: 0.4289 data_time: 0.0023 loss: 2.0717 03/04 05:49:42 - mmengine - INFO - Epoch(train) [26][1000/5005] lr: 1.0000e-01 eta: 1 day, 20:12:54 time: 0.4250 data_time: 0.0024 loss: 1.9783 03/04 05:50:25 - mmengine - INFO - Epoch(train) [26][1100/5005] lr: 1.0000e-01 eta: 1 day, 20:12:11 time: 0.4219 data_time: 0.0023 loss: 1.9613 03/04 05:51:07 - mmengine - INFO - Epoch(train) [26][1200/5005] lr: 1.0000e-01 eta: 1 day, 20:11:27 time: 0.4261 data_time: 0.0025 loss: 1.8519 03/04 05:51:49 - mmengine - INFO - Epoch(train) [26][1300/5005] lr: 1.0000e-01 eta: 1 day, 20:10:44 time: 0.4225 data_time: 0.0022 loss: 1.9828 03/04 05:52:31 - mmengine - INFO - Epoch(train) [26][1400/5005] lr: 1.0000e-01 eta: 1 day, 20:10:00 time: 0.4194 data_time: 0.0023 loss: 1.9722 03/04 05:53:13 - mmengine - INFO - Epoch(train) [26][1500/5005] lr: 1.0000e-01 eta: 1 day, 20:09:16 time: 0.4223 data_time: 0.0022 loss: 2.1638 03/04 05:53:56 - mmengine - INFO - Epoch(train) [26][1600/5005] lr: 1.0000e-01 eta: 1 day, 20:08:32 time: 0.4192 data_time: 0.0023 loss: 1.8924 03/04 05:54:38 - mmengine - INFO - Epoch(train) [26][1700/5005] lr: 1.0000e-01 eta: 1 day, 20:07:49 time: 0.4208 data_time: 0.0023 loss: 1.8515 03/04 05:55:20 - mmengine - INFO - Epoch(train) [26][1800/5005] lr: 1.0000e-01 eta: 1 day, 20:07:05 time: 0.4245 data_time: 0.0024 loss: 1.8671 03/04 05:55:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 05:56:02 - mmengine - INFO - Epoch(train) [26][1900/5005] lr: 1.0000e-01 eta: 1 day, 20:06:22 time: 0.4189 data_time: 0.0025 loss: 2.1738 03/04 05:56:44 - mmengine - INFO - Epoch(train) [26][2000/5005] lr: 1.0000e-01 eta: 1 day, 20:05:39 time: 0.4271 data_time: 0.0023 loss: 1.8968 03/04 05:57:27 - mmengine - INFO - Epoch(train) [26][2100/5005] lr: 1.0000e-01 eta: 1 day, 20:04:55 time: 0.4226 data_time: 0.0022 loss: 2.0535 03/04 05:58:09 - mmengine - INFO - Epoch(train) [26][2200/5005] lr: 1.0000e-01 eta: 1 day, 20:04:12 time: 0.4202 data_time: 0.0024 loss: 1.8458 03/04 05:58:51 - mmengine - INFO - Epoch(train) [26][2300/5005] lr: 1.0000e-01 eta: 1 day, 20:03:28 time: 0.4225 data_time: 0.0023 loss: 2.2399 03/04 05:59:33 - mmengine - INFO - Epoch(train) [26][2400/5005] lr: 1.0000e-01 eta: 1 day, 20:02:45 time: 0.4233 data_time: 0.0023 loss: 2.2628 03/04 06:00:16 - mmengine - INFO - Epoch(train) [26][2500/5005] lr: 1.0000e-01 eta: 1 day, 20:02:01 time: 0.4210 data_time: 0.0022 loss: 1.9318 03/04 06:00:58 - mmengine - INFO - Epoch(train) [26][2600/5005] lr: 1.0000e-01 eta: 1 day, 20:01:18 time: 0.4178 data_time: 0.0022 loss: 1.9680 03/04 06:01:40 - mmengine - INFO - Epoch(train) [26][2700/5005] lr: 1.0000e-01 eta: 1 day, 20:00:34 time: 0.4240 data_time: 0.0023 loss: 2.0102 03/04 06:02:22 - mmengine - INFO - Epoch(train) [26][2800/5005] lr: 1.0000e-01 eta: 1 day, 19:59:51 time: 0.4221 data_time: 0.0024 loss: 2.0479 03/04 06:02:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:03:04 - mmengine - INFO - Epoch(train) [26][2900/5005] lr: 1.0000e-01 eta: 1 day, 19:59:07 time: 0.4196 data_time: 0.0023 loss: 1.8147 03/04 06:03:47 - mmengine - INFO - Epoch(train) [26][3000/5005] lr: 1.0000e-01 eta: 1 day, 19:58:24 time: 0.4234 data_time: 0.0023 loss: 1.8890 03/04 06:04:29 - mmengine - INFO - Epoch(train) [26][3100/5005] lr: 1.0000e-01 eta: 1 day, 19:57:40 time: 0.4255 data_time: 0.0023 loss: 2.0342 03/04 06:05:11 - mmengine - INFO - Epoch(train) [26][3200/5005] lr: 1.0000e-01 eta: 1 day, 19:56:57 time: 0.4223 data_time: 0.0024 loss: 1.8756 03/04 06:05:54 - mmengine - INFO - Epoch(train) [26][3300/5005] lr: 1.0000e-01 eta: 1 day, 19:56:14 time: 0.4257 data_time: 0.0023 loss: 1.9439 03/04 06:06:36 - mmengine - INFO - Epoch(train) [26][3400/5005] lr: 1.0000e-01 eta: 1 day, 19:55:31 time: 0.4311 data_time: 0.0022 loss: 1.8714 03/04 06:07:18 - mmengine - INFO - Epoch(train) [26][3500/5005] lr: 1.0000e-01 eta: 1 day, 19:54:48 time: 0.4197 data_time: 0.0024 loss: 1.8750 03/04 06:08:01 - mmengine - INFO - Epoch(train) [26][3600/5005] lr: 1.0000e-01 eta: 1 day, 19:54:05 time: 0.4217 data_time: 0.0024 loss: 1.8728 03/04 06:08:43 - mmengine - INFO - Epoch(train) [26][3700/5005] lr: 1.0000e-01 eta: 1 day, 19:53:21 time: 0.4220 data_time: 0.0022 loss: 1.8981 03/04 06:09:25 - mmengine - INFO - Epoch(train) [26][3800/5005] lr: 1.0000e-01 eta: 1 day, 19:52:37 time: 0.4258 data_time: 0.0024 loss: 1.9409 03/04 06:09:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:10:07 - mmengine - INFO - Epoch(train) [26][3900/5005] lr: 1.0000e-01 eta: 1 day, 19:51:53 time: 0.4235 data_time: 0.0025 loss: 1.8470 03/04 06:10:49 - mmengine - INFO - Epoch(train) [26][4000/5005] lr: 1.0000e-01 eta: 1 day, 19:51:10 time: 0.4174 data_time: 0.0024 loss: 2.1264 03/04 06:11:31 - mmengine - INFO - Epoch(train) [26][4100/5005] lr: 1.0000e-01 eta: 1 day, 19:50:26 time: 0.4248 data_time: 0.0023 loss: 1.9070 03/04 06:12:13 - mmengine - INFO - Epoch(train) [26][4200/5005] lr: 1.0000e-01 eta: 1 day, 19:49:42 time: 0.4194 data_time: 0.0023 loss: 2.2156 03/04 06:12:55 - mmengine - INFO - Epoch(train) [26][4300/5005] lr: 1.0000e-01 eta: 1 day, 19:48:58 time: 0.4153 data_time: 0.0023 loss: 1.8996 03/04 06:13:38 - mmengine - INFO - Epoch(train) [26][4400/5005] lr: 1.0000e-01 eta: 1 day, 19:48:15 time: 0.4225 data_time: 0.0023 loss: 2.1196 03/04 06:14:20 - mmengine - INFO - Epoch(train) [26][4500/5005] lr: 1.0000e-01 eta: 1 day, 19:47:31 time: 0.4212 data_time: 0.0023 loss: 2.0442 03/04 06:15:02 - mmengine - INFO - Epoch(train) [26][4600/5005] lr: 1.0000e-01 eta: 1 day, 19:46:48 time: 0.4215 data_time: 0.0023 loss: 2.1992 03/04 06:15:44 - mmengine - INFO - Epoch(train) [26][4700/5005] lr: 1.0000e-01 eta: 1 day, 19:46:04 time: 0.4211 data_time: 0.0022 loss: 1.8767 03/04 06:16:26 - mmengine - INFO - Epoch(train) [26][4800/5005] lr: 1.0000e-01 eta: 1 day, 19:45:21 time: 0.4252 data_time: 0.0022 loss: 2.0192 03/04 06:16:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:17:09 - mmengine - INFO - Epoch(train) [26][4900/5005] lr: 1.0000e-01 eta: 1 day, 19:44:37 time: 0.4202 data_time: 0.0025 loss: 1.8648 03/04 06:17:51 - mmengine - INFO - Epoch(train) [26][5000/5005] lr: 1.0000e-01 eta: 1 day, 19:43:53 time: 0.4191 data_time: 0.0020 loss: 1.7668 03/04 06:17:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:17:54 - mmengine - INFO - Saving checkpoint at 26 epochs 03/04 06:18:05 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:00:09 time: 0.0308 data_time: 0.0005 03/04 06:18:19 - mmengine - INFO - Epoch(val) [26][196/196] accuracy/top1: 59.7560 accuracy/top5: 83.9900 03/04 06:19:05 - mmengine - INFO - Epoch(train) [27][ 100/5005] lr: 1.0000e-01 eta: 1 day, 19:43:17 time: 0.4241 data_time: 0.0024 loss: 1.8181 03/04 06:19:47 - mmengine - INFO - Epoch(train) [27][ 200/5005] lr: 1.0000e-01 eta: 1 day, 19:42:34 time: 0.4231 data_time: 0.0023 loss: 2.0063 03/04 06:20:30 - mmengine - INFO - Epoch(train) [27][ 300/5005] lr: 1.0000e-01 eta: 1 day, 19:41:52 time: 0.4215 data_time: 0.0023 loss: 2.0206 03/04 06:21:12 - mmengine - INFO - Epoch(train) [27][ 400/5005] lr: 1.0000e-01 eta: 1 day, 19:41:08 time: 0.4204 data_time: 0.0022 loss: 1.9125 03/04 06:21:54 - mmengine - INFO - Epoch(train) [27][ 500/5005] lr: 1.0000e-01 eta: 1 day, 19:40:25 time: 0.4208 data_time: 0.0023 loss: 1.6837 03/04 06:22:37 - mmengine - INFO - Epoch(train) [27][ 600/5005] lr: 1.0000e-01 eta: 1 day, 19:39:42 time: 0.4249 data_time: 0.0024 loss: 1.9624 03/04 06:23:19 - mmengine - INFO - Epoch(train) [27][ 700/5005] lr: 1.0000e-01 eta: 1 day, 19:38:58 time: 0.4216 data_time: 0.0026 loss: 1.7417 03/04 06:24:01 - mmengine - INFO - Epoch(train) [27][ 800/5005] lr: 1.0000e-01 eta: 1 day, 19:38:16 time: 0.4244 data_time: 0.0026 loss: 2.0630 03/04 06:24:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:24:44 - mmengine - INFO - Epoch(train) [27][ 900/5005] lr: 1.0000e-01 eta: 1 day, 19:37:32 time: 0.4274 data_time: 0.0024 loss: 1.8540 03/04 06:25:26 - mmengine - INFO - Epoch(train) [27][1000/5005] lr: 1.0000e-01 eta: 1 day, 19:36:50 time: 0.4239 data_time: 0.0023 loss: 2.0298 03/04 06:26:09 - mmengine - INFO - Epoch(train) [27][1100/5005] lr: 1.0000e-01 eta: 1 day, 19:36:07 time: 0.4209 data_time: 0.0024 loss: 2.1693 03/04 06:26:51 - mmengine - INFO - Epoch(train) [27][1200/5005] lr: 1.0000e-01 eta: 1 day, 19:35:23 time: 0.4205 data_time: 0.0023 loss: 1.8969 03/04 06:27:33 - mmengine - INFO - Epoch(train) [27][1300/5005] lr: 1.0000e-01 eta: 1 day, 19:34:40 time: 0.4181 data_time: 0.0023 loss: 1.8268 03/04 06:28:15 - mmengine - INFO - Epoch(train) [27][1400/5005] lr: 1.0000e-01 eta: 1 day, 19:33:56 time: 0.4143 data_time: 0.0023 loss: 1.9135 03/04 06:28:57 - mmengine - INFO - Epoch(train) [27][1500/5005] lr: 1.0000e-01 eta: 1 day, 19:33:13 time: 0.4201 data_time: 0.0023 loss: 2.0289 03/04 06:29:40 - mmengine - INFO - Epoch(train) [27][1600/5005] lr: 1.0000e-01 eta: 1 day, 19:32:30 time: 0.4212 data_time: 0.0025 loss: 1.9539 03/04 06:30:22 - mmengine - INFO - Epoch(train) [27][1700/5005] lr: 1.0000e-01 eta: 1 day, 19:31:46 time: 0.4196 data_time: 0.0023 loss: 1.9182 03/04 06:31:04 - mmengine - INFO - Epoch(train) [27][1800/5005] lr: 1.0000e-01 eta: 1 day, 19:31:03 time: 0.4186 data_time: 0.0024 loss: 1.9406 03/04 06:31:34 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:31:46 - mmengine - INFO - Epoch(train) [27][1900/5005] lr: 1.0000e-01 eta: 1 day, 19:30:20 time: 0.4249 data_time: 0.0023 loss: 1.9926 03/04 06:32:29 - mmengine - INFO - Epoch(train) [27][2000/5005] lr: 1.0000e-01 eta: 1 day, 19:29:36 time: 0.4279 data_time: 0.0027 loss: 1.9113 03/04 06:33:11 - mmengine - INFO - Epoch(train) [27][2100/5005] lr: 1.0000e-01 eta: 1 day, 19:28:53 time: 0.4224 data_time: 0.0024 loss: 1.9112 03/04 06:33:53 - mmengine - INFO - Epoch(train) [27][2200/5005] lr: 1.0000e-01 eta: 1 day, 19:28:10 time: 0.4249 data_time: 0.0024 loss: 1.9992 03/04 06:34:35 - mmengine - INFO - Epoch(train) [27][2300/5005] lr: 1.0000e-01 eta: 1 day, 19:27:26 time: 0.4234 data_time: 0.0023 loss: 2.0180 03/04 06:35:18 - mmengine - INFO - Epoch(train) [27][2400/5005] lr: 1.0000e-01 eta: 1 day, 19:26:43 time: 0.4232 data_time: 0.0024 loss: 2.0054 03/04 06:36:00 - mmengine - INFO - Epoch(train) [27][2500/5005] lr: 1.0000e-01 eta: 1 day, 19:26:00 time: 0.4214 data_time: 0.0024 loss: 2.0463 03/04 06:36:42 - mmengine - INFO - Epoch(train) [27][2600/5005] lr: 1.0000e-01 eta: 1 day, 19:25:16 time: 0.4221 data_time: 0.0023 loss: 1.9741 03/04 06:37:24 - mmengine - INFO - Epoch(train) [27][2700/5005] lr: 1.0000e-01 eta: 1 day, 19:24:32 time: 0.4226 data_time: 0.0023 loss: 1.9526 03/04 06:38:06 - mmengine - INFO - Epoch(train) [27][2800/5005] lr: 1.0000e-01 eta: 1 day, 19:23:49 time: 0.4213 data_time: 0.0024 loss: 1.8197 03/04 06:38:36 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:38:48 - mmengine - INFO - Epoch(train) [27][2900/5005] lr: 1.0000e-01 eta: 1 day, 19:23:05 time: 0.4179 data_time: 0.0024 loss: 1.9468 03/04 06:39:31 - mmengine - INFO - Epoch(train) [27][3000/5005] lr: 1.0000e-01 eta: 1 day, 19:22:21 time: 0.4203 data_time: 0.0025 loss: 1.9060 03/04 06:40:13 - mmengine - INFO - Epoch(train) [27][3100/5005] lr: 1.0000e-01 eta: 1 day, 19:21:38 time: 0.4257 data_time: 0.0025 loss: 2.1515 03/04 06:40:55 - mmengine - INFO - Epoch(train) [27][3200/5005] lr: 1.0000e-01 eta: 1 day, 19:20:54 time: 0.4225 data_time: 0.0024 loss: 1.9710 03/04 06:41:37 - mmengine - INFO - Epoch(train) [27][3300/5005] lr: 1.0000e-01 eta: 1 day, 19:20:11 time: 0.4245 data_time: 0.0023 loss: 1.9695 03/04 06:42:19 - mmengine - INFO - Epoch(train) [27][3400/5005] lr: 1.0000e-01 eta: 1 day, 19:19:27 time: 0.4206 data_time: 0.0024 loss: 1.9736 03/04 06:43:01 - mmengine - INFO - Epoch(train) [27][3500/5005] lr: 1.0000e-01 eta: 1 day, 19:18:44 time: 0.4199 data_time: 0.0024 loss: 1.8645 03/04 06:43:44 - mmengine - INFO - Epoch(train) [27][3600/5005] lr: 1.0000e-01 eta: 1 day, 19:18:00 time: 0.4208 data_time: 0.0023 loss: 1.7017 03/04 06:44:26 - mmengine - INFO - Epoch(train) [27][3700/5005] lr: 1.0000e-01 eta: 1 day, 19:17:17 time: 0.4194 data_time: 0.0026 loss: 1.9683 03/04 06:45:08 - mmengine - INFO - Epoch(train) [27][3800/5005] lr: 1.0000e-01 eta: 1 day, 19:16:34 time: 0.4274 data_time: 0.0024 loss: 2.0768 03/04 06:45:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:45:50 - mmengine - INFO - Epoch(train) [27][3900/5005] lr: 1.0000e-01 eta: 1 day, 19:15:50 time: 0.4192 data_time: 0.0025 loss: 1.8613 03/04 06:46:33 - mmengine - INFO - Epoch(train) [27][4000/5005] lr: 1.0000e-01 eta: 1 day, 19:15:07 time: 0.4316 data_time: 0.0023 loss: 1.9236 03/04 06:47:15 - mmengine - INFO - Epoch(train) [27][4100/5005] lr: 1.0000e-01 eta: 1 day, 19:14:24 time: 0.4210 data_time: 0.0024 loss: 1.9335 03/04 06:47:57 - mmengine - INFO - Epoch(train) [27][4200/5005] lr: 1.0000e-01 eta: 1 day, 19:13:41 time: 0.4225 data_time: 0.0023 loss: 1.9993 03/04 06:48:39 - mmengine - INFO - Epoch(train) [27][4300/5005] lr: 1.0000e-01 eta: 1 day, 19:12:57 time: 0.4246 data_time: 0.0023 loss: 1.9052 03/04 06:49:22 - mmengine - INFO - Epoch(train) [27][4400/5005] lr: 1.0000e-01 eta: 1 day, 19:12:14 time: 0.4225 data_time: 0.0024 loss: 1.9653 03/04 06:50:04 - mmengine - INFO - Epoch(train) [27][4500/5005] lr: 1.0000e-01 eta: 1 day, 19:11:31 time: 0.4170 data_time: 0.0023 loss: 1.9923 03/04 06:50:46 - mmengine - INFO - Epoch(train) [27][4600/5005] lr: 1.0000e-01 eta: 1 day, 19:10:48 time: 0.4253 data_time: 0.0025 loss: 1.9964 03/04 06:51:29 - mmengine - INFO - Epoch(train) [27][4700/5005] lr: 1.0000e-01 eta: 1 day, 19:10:05 time: 0.4194 data_time: 0.0024 loss: 1.8851 03/04 06:52:11 - mmengine - INFO - Epoch(train) [27][4800/5005] lr: 1.0000e-01 eta: 1 day, 19:09:22 time: 0.4217 data_time: 0.0023 loss: 1.7795 03/04 06:52:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:52:54 - mmengine - INFO - Epoch(train) [27][4900/5005] lr: 1.0000e-01 eta: 1 day, 19:08:39 time: 0.4211 data_time: 0.0024 loss: 2.0240 03/04 06:53:36 - mmengine - INFO - Epoch(train) [27][5000/5005] lr: 1.0000e-01 eta: 1 day, 19:07:56 time: 0.4227 data_time: 0.0021 loss: 1.9249 03/04 06:53:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 06:53:39 - mmengine - INFO - Saving checkpoint at 27 epochs 03/04 06:53:51 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:00:08 time: 0.0290 data_time: 0.0005 03/04 06:54:05 - mmengine - INFO - Epoch(val) [27][196/196] accuracy/top1: 60.1760 accuracy/top5: 84.1520 03/04 06:54:50 - mmengine - INFO - Epoch(train) [28][ 100/5005] lr: 1.0000e-01 eta: 1 day, 19:07:20 time: 0.4204 data_time: 0.0024 loss: 1.9593 03/04 06:55:33 - mmengine - INFO - Epoch(train) [28][ 200/5005] lr: 1.0000e-01 eta: 1 day, 19:06:37 time: 0.4195 data_time: 0.0024 loss: 1.9430 03/04 06:56:15 - mmengine - INFO - Epoch(train) [28][ 300/5005] lr: 1.0000e-01 eta: 1 day, 19:05:54 time: 0.4373 data_time: 0.0023 loss: 1.9793 03/04 06:56:57 - mmengine - INFO - Epoch(train) [28][ 400/5005] lr: 1.0000e-01 eta: 1 day, 19:05:11 time: 0.4159 data_time: 0.0024 loss: 1.9293 03/04 06:57:40 - mmengine - INFO - Epoch(train) [28][ 500/5005] lr: 1.0000e-01 eta: 1 day, 19:04:28 time: 0.4273 data_time: 0.0023 loss: 2.2153 03/04 06:58:22 - mmengine - INFO - Epoch(train) [28][ 600/5005] lr: 1.0000e-01 eta: 1 day, 19:03:45 time: 0.4227 data_time: 0.0024 loss: 2.0138 03/04 06:59:05 - mmengine - INFO - Epoch(train) [28][ 700/5005] lr: 1.0000e-01 eta: 1 day, 19:03:02 time: 0.4221 data_time: 0.0024 loss: 2.0879 03/04 06:59:47 - mmengine - INFO - Epoch(train) [28][ 800/5005] lr: 1.0000e-01 eta: 1 day, 19:02:18 time: 0.4292 data_time: 0.0023 loss: 1.9993 03/04 07:00:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:00:29 - mmengine - INFO - Epoch(train) [28][ 900/5005] lr: 1.0000e-01 eta: 1 day, 19:01:35 time: 0.4205 data_time: 0.0023 loss: 1.8453 03/04 07:01:11 - mmengine - INFO - Epoch(train) [28][1000/5005] lr: 1.0000e-01 eta: 1 day, 19:00:52 time: 0.4244 data_time: 0.0026 loss: 1.9773 03/04 07:01:54 - mmengine - INFO - Epoch(train) [28][1100/5005] lr: 1.0000e-01 eta: 1 day, 19:00:08 time: 0.4181 data_time: 0.0025 loss: 1.9813 03/04 07:02:36 - mmengine - INFO - Epoch(train) [28][1200/5005] lr: 1.0000e-01 eta: 1 day, 18:59:26 time: 0.4201 data_time: 0.0022 loss: 1.8726 03/04 07:03:18 - mmengine - INFO - Epoch(train) [28][1300/5005] lr: 1.0000e-01 eta: 1 day, 18:58:43 time: 0.4237 data_time: 0.0024 loss: 2.0220 03/04 07:04:01 - mmengine - INFO - Epoch(train) [28][1400/5005] lr: 1.0000e-01 eta: 1 day, 18:58:00 time: 0.4193 data_time: 0.0023 loss: 1.9344 03/04 07:04:43 - mmengine - INFO - Epoch(train) [28][1500/5005] lr: 1.0000e-01 eta: 1 day, 18:57:16 time: 0.4228 data_time: 0.0023 loss: 2.1670 03/04 07:05:25 - mmengine - INFO - Epoch(train) [28][1600/5005] lr: 1.0000e-01 eta: 1 day, 18:56:34 time: 0.4252 data_time: 0.0024 loss: 2.0567 03/04 07:06:08 - mmengine - INFO - Epoch(train) [28][1700/5005] lr: 1.0000e-01 eta: 1 day, 18:55:51 time: 0.4239 data_time: 0.0025 loss: 1.8836 03/04 07:06:50 - mmengine - INFO - Epoch(train) [28][1800/5005] lr: 1.0000e-01 eta: 1 day, 18:55:08 time: 0.4246 data_time: 0.0023 loss: 2.0372 03/04 07:07:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:07:33 - mmengine - INFO - Epoch(train) [28][1900/5005] lr: 1.0000e-01 eta: 1 day, 18:54:25 time: 0.4223 data_time: 0.0023 loss: 1.8393 03/04 07:08:15 - mmengine - INFO - Epoch(train) [28][2000/5005] lr: 1.0000e-01 eta: 1 day, 18:53:42 time: 0.4215 data_time: 0.0023 loss: 1.8943 03/04 07:08:57 - mmengine - INFO - Epoch(train) [28][2100/5005] lr: 1.0000e-01 eta: 1 day, 18:52:59 time: 0.4260 data_time: 0.0023 loss: 2.0729 03/04 07:09:40 - mmengine - INFO - Epoch(train) [28][2200/5005] lr: 1.0000e-01 eta: 1 day, 18:52:16 time: 0.4235 data_time: 0.0024 loss: 2.1593 03/04 07:10:22 - mmengine - INFO - Epoch(train) [28][2300/5005] lr: 1.0000e-01 eta: 1 day, 18:51:33 time: 0.4196 data_time: 0.0025 loss: 1.8201 03/04 07:11:04 - mmengine - INFO - Epoch(train) [28][2400/5005] lr: 1.0000e-01 eta: 1 day, 18:50:50 time: 0.4215 data_time: 0.0025 loss: 2.2337 03/04 07:11:47 - mmengine - INFO - Epoch(train) [28][2500/5005] lr: 1.0000e-01 eta: 1 day, 18:50:07 time: 0.4210 data_time: 0.0025 loss: 1.8260 03/04 07:12:29 - mmengine - INFO - Epoch(train) [28][2600/5005] lr: 1.0000e-01 eta: 1 day, 18:49:24 time: 0.4236 data_time: 0.0024 loss: 2.0517 03/04 07:13:11 - mmengine - INFO - Epoch(train) [28][2700/5005] lr: 1.0000e-01 eta: 1 day, 18:48:41 time: 0.4271 data_time: 0.0023 loss: 1.9679 03/04 07:13:54 - mmengine - INFO - Epoch(train) [28][2800/5005] lr: 1.0000e-01 eta: 1 day, 18:47:58 time: 0.4238 data_time: 0.0024 loss: 1.9072 03/04 07:14:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:14:36 - mmengine - INFO - Epoch(train) [28][2900/5005] lr: 1.0000e-01 eta: 1 day, 18:47:15 time: 0.4219 data_time: 0.0023 loss: 1.9603 03/04 07:15:19 - mmengine - INFO - Epoch(train) [28][3000/5005] lr: 1.0000e-01 eta: 1 day, 18:46:32 time: 0.4243 data_time: 0.0024 loss: 1.8734 03/04 07:16:01 - mmengine - INFO - Epoch(train) [28][3100/5005] lr: 1.0000e-01 eta: 1 day, 18:45:49 time: 0.4187 data_time: 0.0023 loss: 2.0687 03/04 07:16:43 - mmengine - INFO - Epoch(train) [28][3200/5005] lr: 1.0000e-01 eta: 1 day, 18:45:06 time: 0.4209 data_time: 0.0023 loss: 2.1802 03/04 07:17:25 - mmengine - INFO - Epoch(train) [28][3300/5005] lr: 1.0000e-01 eta: 1 day, 18:44:22 time: 0.4231 data_time: 0.0024 loss: 1.9981 03/04 07:18:08 - mmengine - INFO - Epoch(train) [28][3400/5005] lr: 1.0000e-01 eta: 1 day, 18:43:39 time: 0.4231 data_time: 0.0023 loss: 1.9079 03/04 07:18:50 - mmengine - INFO - Epoch(train) [28][3500/5005] lr: 1.0000e-01 eta: 1 day, 18:42:56 time: 0.4215 data_time: 0.0025 loss: 1.8027 03/04 07:19:32 - mmengine - INFO - Epoch(train) [28][3600/5005] lr: 1.0000e-01 eta: 1 day, 18:42:13 time: 0.4219 data_time: 0.0022 loss: 2.0919 03/04 07:20:14 - mmengine - INFO - Epoch(train) [28][3700/5005] lr: 1.0000e-01 eta: 1 day, 18:41:29 time: 0.4250 data_time: 0.0024 loss: 2.0592 03/04 07:20:57 - mmengine - INFO - Epoch(train) [28][3800/5005] lr: 1.0000e-01 eta: 1 day, 18:40:46 time: 0.4239 data_time: 0.0025 loss: 2.0531 03/04 07:21:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:21:39 - mmengine - INFO - Epoch(train) [28][3900/5005] lr: 1.0000e-01 eta: 1 day, 18:40:03 time: 0.4236 data_time: 0.0023 loss: 1.8874 03/04 07:22:21 - mmengine - INFO - Epoch(train) [28][4000/5005] lr: 1.0000e-01 eta: 1 day, 18:39:21 time: 0.4249 data_time: 0.0023 loss: 1.8833 03/04 07:23:04 - mmengine - INFO - Epoch(train) [28][4100/5005] lr: 1.0000e-01 eta: 1 day, 18:38:38 time: 0.4213 data_time: 0.0022 loss: 1.9031 03/04 07:23:46 - mmengine - INFO - Epoch(train) [28][4200/5005] lr: 1.0000e-01 eta: 1 day, 18:37:54 time: 0.4243 data_time: 0.0024 loss: 2.0237 03/04 07:24:28 - mmengine - INFO - Epoch(train) [28][4300/5005] lr: 1.0000e-01 eta: 1 day, 18:37:10 time: 0.4216 data_time: 0.0024 loss: 2.0314 03/04 07:25:10 - mmengine - INFO - Epoch(train) [28][4400/5005] lr: 1.0000e-01 eta: 1 day, 18:36:27 time: 0.4239 data_time: 0.0024 loss: 1.7731 03/04 07:25:52 - mmengine - INFO - Epoch(train) [28][4500/5005] lr: 1.0000e-01 eta: 1 day, 18:35:44 time: 0.4251 data_time: 0.0027 loss: 2.0194 03/04 07:26:35 - mmengine - INFO - Epoch(train) [28][4600/5005] lr: 1.0000e-01 eta: 1 day, 18:35:01 time: 0.4246 data_time: 0.0023 loss: 1.7720 03/04 07:27:17 - mmengine - INFO - Epoch(train) [28][4700/5005] lr: 1.0000e-01 eta: 1 day, 18:34:18 time: 0.4346 data_time: 0.0023 loss: 1.9321 03/04 07:28:00 - mmengine - INFO - Epoch(train) [28][4800/5005] lr: 1.0000e-01 eta: 1 day, 18:33:35 time: 0.4256 data_time: 0.0023 loss: 1.9817 03/04 07:28:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:28:42 - mmengine - INFO - Epoch(train) [28][4900/5005] lr: 1.0000e-01 eta: 1 day, 18:32:52 time: 0.4276 data_time: 0.0024 loss: 2.0499 03/04 07:29:24 - mmengine - INFO - Epoch(train) [28][5000/5005] lr: 1.0000e-01 eta: 1 day, 18:32:08 time: 0.4188 data_time: 0.0021 loss: 2.1766 03/04 07:29:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:29:27 - mmengine - INFO - Saving checkpoint at 28 epochs 03/04 07:29:39 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:00:09 time: 0.0293 data_time: 0.0005 03/04 07:29:52 - mmengine - INFO - Epoch(val) [28][196/196] accuracy/top1: 59.9720 accuracy/top5: 84.0780 03/04 07:30:38 - mmengine - INFO - Epoch(train) [29][ 100/5005] lr: 1.0000e-01 eta: 1 day, 18:31:31 time: 0.4181 data_time: 0.0025 loss: 1.9104 03/04 07:31:20 - mmengine - INFO - Epoch(train) [29][ 200/5005] lr: 1.0000e-01 eta: 1 day, 18:30:48 time: 0.4219 data_time: 0.0024 loss: 1.9720 03/04 07:32:03 - mmengine - INFO - Epoch(train) [29][ 300/5005] lr: 1.0000e-01 eta: 1 day, 18:30:06 time: 0.4209 data_time: 0.0023 loss: 1.9875 03/04 07:32:45 - mmengine - INFO - Epoch(train) [29][ 400/5005] lr: 1.0000e-01 eta: 1 day, 18:29:23 time: 0.4223 data_time: 0.0024 loss: 1.9649 03/04 07:33:27 - mmengine - INFO - Epoch(train) [29][ 500/5005] lr: 1.0000e-01 eta: 1 day, 18:28:40 time: 0.4184 data_time: 0.0025 loss: 1.8444 03/04 07:34:09 - mmengine - INFO - Epoch(train) [29][ 600/5005] lr: 1.0000e-01 eta: 1 day, 18:27:56 time: 0.4171 data_time: 0.0023 loss: 2.0990 03/04 07:34:52 - mmengine - INFO - Epoch(train) [29][ 700/5005] lr: 1.0000e-01 eta: 1 day, 18:27:13 time: 0.4205 data_time: 0.0023 loss: 1.8048 03/04 07:35:34 - mmengine - INFO - Epoch(train) [29][ 800/5005] lr: 1.0000e-01 eta: 1 day, 18:26:29 time: 0.4152 data_time: 0.0024 loss: 1.9014 03/04 07:35:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:36:16 - mmengine - INFO - Epoch(train) [29][ 900/5005] lr: 1.0000e-01 eta: 1 day, 18:25:46 time: 0.4161 data_time: 0.0023 loss: 1.7452 03/04 07:36:58 - mmengine - INFO - Epoch(train) [29][1000/5005] lr: 1.0000e-01 eta: 1 day, 18:25:02 time: 0.4209 data_time: 0.0023 loss: 1.8980 03/04 07:37:40 - mmengine - INFO - Epoch(train) [29][1100/5005] lr: 1.0000e-01 eta: 1 day, 18:24:19 time: 0.4206 data_time: 0.0023 loss: 1.9029 03/04 07:38:23 - mmengine - INFO - Epoch(train) [29][1200/5005] lr: 1.0000e-01 eta: 1 day, 18:23:36 time: 0.4301 data_time: 0.0024 loss: 1.8057 03/04 07:39:05 - mmengine - INFO - Epoch(train) [29][1300/5005] lr: 1.0000e-01 eta: 1 day, 18:22:53 time: 0.4183 data_time: 0.0024 loss: 1.8971 03/04 07:39:47 - mmengine - INFO - Epoch(train) [29][1400/5005] lr: 1.0000e-01 eta: 1 day, 18:22:09 time: 0.4194 data_time: 0.0024 loss: 1.7600 03/04 07:40:29 - mmengine - INFO - Epoch(train) [29][1500/5005] lr: 1.0000e-01 eta: 1 day, 18:21:27 time: 0.4180 data_time: 0.0027 loss: 1.9509 03/04 07:41:12 - mmengine - INFO - Epoch(train) [29][1600/5005] lr: 1.0000e-01 eta: 1 day, 18:20:44 time: 0.4272 data_time: 0.0025 loss: 1.8703 03/04 07:41:54 - mmengine - INFO - Epoch(train) [29][1700/5005] lr: 1.0000e-01 eta: 1 day, 18:20:00 time: 0.4251 data_time: 0.0025 loss: 1.9156 03/04 07:42:36 - mmengine - INFO - Epoch(train) [29][1800/5005] lr: 1.0000e-01 eta: 1 day, 18:19:17 time: 0.4208 data_time: 0.0023 loss: 1.7601 03/04 07:43:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:43:18 - mmengine - INFO - Epoch(train) [29][1900/5005] lr: 1.0000e-01 eta: 1 day, 18:18:34 time: 0.4256 data_time: 0.0024 loss: 1.8854 03/04 07:44:01 - mmengine - INFO - Epoch(train) [29][2000/5005] lr: 1.0000e-01 eta: 1 day, 18:17:51 time: 0.4187 data_time: 0.0025 loss: 1.8871 03/04 07:44:43 - mmengine - INFO - Epoch(train) [29][2100/5005] lr: 1.0000e-01 eta: 1 day, 18:17:08 time: 0.4218 data_time: 0.0024 loss: 1.9633 03/04 07:45:26 - mmengine - INFO - Epoch(train) [29][2200/5005] lr: 1.0000e-01 eta: 1 day, 18:16:25 time: 0.4198 data_time: 0.0023 loss: 2.0825 03/04 07:46:08 - mmengine - INFO - Epoch(train) [29][2300/5005] lr: 1.0000e-01 eta: 1 day, 18:15:42 time: 0.4205 data_time: 0.0023 loss: 1.8705 03/04 07:46:50 - mmengine - INFO - Epoch(train) [29][2400/5005] lr: 1.0000e-01 eta: 1 day, 18:14:59 time: 0.4265 data_time: 0.0024 loss: 1.8545 03/04 07:47:33 - mmengine - INFO - Epoch(train) [29][2500/5005] lr: 1.0000e-01 eta: 1 day, 18:14:16 time: 0.4161 data_time: 0.0023 loss: 1.8814 03/04 07:48:15 - mmengine - INFO - Epoch(train) [29][2600/5005] lr: 1.0000e-01 eta: 1 day, 18:13:33 time: 0.4235 data_time: 0.0023 loss: 1.6911 03/04 07:48:57 - mmengine - INFO - Epoch(train) [29][2700/5005] lr: 1.0000e-01 eta: 1 day, 18:12:50 time: 0.4267 data_time: 0.0023 loss: 1.9271 03/04 07:49:40 - mmengine - INFO - Epoch(train) [29][2800/5005] lr: 1.0000e-01 eta: 1 day, 18:12:08 time: 0.4252 data_time: 0.0023 loss: 1.7595 03/04 07:50:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:50:22 - mmengine - INFO - Epoch(train) [29][2900/5005] lr: 1.0000e-01 eta: 1 day, 18:11:25 time: 0.4226 data_time: 0.0024 loss: 2.0239 03/04 07:51:05 - mmengine - INFO - Epoch(train) [29][3000/5005] lr: 1.0000e-01 eta: 1 day, 18:10:42 time: 0.4254 data_time: 0.0023 loss: 1.9359 03/04 07:51:47 - mmengine - INFO - Epoch(train) [29][3100/5005] lr: 1.0000e-01 eta: 1 day, 18:09:59 time: 0.4252 data_time: 0.0023 loss: 1.9954 03/04 07:52:29 - mmengine - INFO - Epoch(train) [29][3200/5005] lr: 1.0000e-01 eta: 1 day, 18:09:16 time: 0.4300 data_time: 0.0024 loss: 1.7086 03/04 07:53:12 - mmengine - INFO - Epoch(train) [29][3300/5005] lr: 1.0000e-01 eta: 1 day, 18:08:34 time: 0.4254 data_time: 0.0023 loss: 1.8848 03/04 07:53:54 - mmengine - INFO - Epoch(train) [29][3400/5005] lr: 1.0000e-01 eta: 1 day, 18:07:51 time: 0.4228 data_time: 0.0024 loss: 1.9174 03/04 07:54:37 - mmengine - INFO - Epoch(train) [29][3500/5005] lr: 1.0000e-01 eta: 1 day, 18:07:08 time: 0.4212 data_time: 0.0024 loss: 2.1217 03/04 07:55:19 - mmengine - INFO - Epoch(train) [29][3600/5005] lr: 1.0000e-01 eta: 1 day, 18:06:25 time: 0.4381 data_time: 0.0024 loss: 1.9466 03/04 07:56:02 - mmengine - INFO - Epoch(train) [29][3700/5005] lr: 1.0000e-01 eta: 1 day, 18:05:43 time: 0.4212 data_time: 0.0023 loss: 1.8528 03/04 07:56:44 - mmengine - INFO - Epoch(train) [29][3800/5005] lr: 1.0000e-01 eta: 1 day, 18:05:00 time: 0.4179 data_time: 0.0024 loss: 1.6674 03/04 07:57:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 07:57:26 - mmengine - INFO - Epoch(train) [29][3900/5005] lr: 1.0000e-01 eta: 1 day, 18:04:17 time: 0.4257 data_time: 0.0024 loss: 1.8781 03/04 07:58:09 - mmengine - INFO - Epoch(train) [29][4000/5005] lr: 1.0000e-01 eta: 1 day, 18:03:34 time: 0.4208 data_time: 0.0023 loss: 1.7995 03/04 07:58:51 - mmengine - INFO - Epoch(train) [29][4100/5005] lr: 1.0000e-01 eta: 1 day, 18:02:51 time: 0.4170 data_time: 0.0024 loss: 1.7970 03/04 07:59:33 - mmengine - INFO - Epoch(train) [29][4200/5005] lr: 1.0000e-01 eta: 1 day, 18:02:08 time: 0.4217 data_time: 0.0024 loss: 1.9824 03/04 08:00:16 - mmengine - INFO - Epoch(train) [29][4300/5005] lr: 1.0000e-01 eta: 1 day, 18:01:25 time: 0.4295 data_time: 0.0024 loss: 1.8947 03/04 08:00:58 - mmengine - INFO - Epoch(train) [29][4400/5005] lr: 1.0000e-01 eta: 1 day, 18:00:42 time: 0.4258 data_time: 0.0023 loss: 1.9386 03/04 08:01:41 - mmengine - INFO - Epoch(train) [29][4500/5005] lr: 1.0000e-01 eta: 1 day, 17:59:59 time: 0.4223 data_time: 0.0023 loss: 2.0580 03/04 08:02:23 - mmengine - INFO - Epoch(train) [29][4600/5005] lr: 1.0000e-01 eta: 1 day, 17:59:16 time: 0.4259 data_time: 0.0023 loss: 1.8330 03/04 08:03:05 - mmengine - INFO - Epoch(train) [29][4700/5005] lr: 1.0000e-01 eta: 1 day, 17:58:33 time: 0.4226 data_time: 0.0023 loss: 1.8383 03/04 08:03:47 - mmengine - INFO - Epoch(train) [29][4800/5005] lr: 1.0000e-01 eta: 1 day, 17:57:50 time: 0.4239 data_time: 0.0024 loss: 1.8367 03/04 08:04:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:04:30 - mmengine - INFO - Epoch(train) [29][4900/5005] lr: 1.0000e-01 eta: 1 day, 17:57:07 time: 0.4314 data_time: 0.0024 loss: 2.1612 03/04 08:05:12 - mmengine - INFO - Epoch(train) [29][5000/5005] lr: 1.0000e-01 eta: 1 day, 17:56:23 time: 0.4234 data_time: 0.0023 loss: 1.8815 03/04 08:05:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:05:15 - mmengine - INFO - Saving checkpoint at 29 epochs 03/04 08:05:27 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:00:09 time: 0.0282 data_time: 0.0005 03/04 08:05:40 - mmengine - INFO - Epoch(val) [29][196/196] accuracy/top1: 59.0940 accuracy/top5: 83.0600 03/04 08:06:25 - mmengine - INFO - Epoch(train) [30][ 100/5005] lr: 1.0000e-01 eta: 1 day, 17:55:45 time: 0.4191 data_time: 0.0025 loss: 1.8691 03/04 08:07:08 - mmengine - INFO - Epoch(train) [30][ 200/5005] lr: 1.0000e-01 eta: 1 day, 17:55:02 time: 0.4242 data_time: 0.0023 loss: 1.7442 03/04 08:07:50 - mmengine - INFO - Epoch(train) [30][ 300/5005] lr: 1.0000e-01 eta: 1 day, 17:54:19 time: 0.4308 data_time: 0.0025 loss: 1.8396 03/04 08:08:33 - mmengine - INFO - Epoch(train) [30][ 400/5005] lr: 1.0000e-01 eta: 1 day, 17:53:36 time: 0.4222 data_time: 0.0023 loss: 2.0440 03/04 08:09:15 - mmengine - INFO - Epoch(train) [30][ 500/5005] lr: 1.0000e-01 eta: 1 day, 17:52:53 time: 0.4221 data_time: 0.0023 loss: 1.8974 03/04 08:09:57 - mmengine - INFO - Epoch(train) [30][ 600/5005] lr: 1.0000e-01 eta: 1 day, 17:52:10 time: 0.4219 data_time: 0.0023 loss: 2.0528 03/04 08:10:40 - mmengine - INFO - Epoch(train) [30][ 700/5005] lr: 1.0000e-01 eta: 1 day, 17:51:27 time: 0.4224 data_time: 0.0023 loss: 2.1531 03/04 08:11:22 - mmengine - INFO - Epoch(train) [30][ 800/5005] lr: 1.0000e-01 eta: 1 day, 17:50:44 time: 0.4254 data_time: 0.0023 loss: 1.7201 03/04 08:11:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:12:04 - mmengine - INFO - Epoch(train) [30][ 900/5005] lr: 1.0000e-01 eta: 1 day, 17:50:01 time: 0.4274 data_time: 0.0023 loss: 1.9289 03/04 08:12:46 - mmengine - INFO - Epoch(train) [30][1000/5005] lr: 1.0000e-01 eta: 1 day, 17:49:18 time: 0.4199 data_time: 0.0024 loss: 1.9529 03/04 08:13:29 - mmengine - INFO - Epoch(train) [30][1100/5005] lr: 1.0000e-01 eta: 1 day, 17:48:35 time: 0.4197 data_time: 0.0024 loss: 1.8291 03/04 08:14:11 - mmengine - INFO - Epoch(train) [30][1200/5005] lr: 1.0000e-01 eta: 1 day, 17:47:52 time: 0.4219 data_time: 0.0024 loss: 2.0138 03/04 08:14:54 - mmengine - INFO - Epoch(train) [30][1300/5005] lr: 1.0000e-01 eta: 1 day, 17:47:09 time: 0.4229 data_time: 0.0023 loss: 2.0346 03/04 08:15:36 - mmengine - INFO - Epoch(train) [30][1400/5005] lr: 1.0000e-01 eta: 1 day, 17:46:26 time: 0.4175 data_time: 0.0027 loss: 1.9545 03/04 08:16:18 - mmengine - INFO - Epoch(train) [30][1500/5005] lr: 1.0000e-01 eta: 1 day, 17:45:43 time: 0.4179 data_time: 0.0024 loss: 2.1518 03/04 08:17:00 - mmengine - INFO - Epoch(train) [30][1600/5005] lr: 1.0000e-01 eta: 1 day, 17:44:59 time: 0.4214 data_time: 0.0023 loss: 1.8867 03/04 08:17:42 - mmengine - INFO - Epoch(train) [30][1700/5005] lr: 1.0000e-01 eta: 1 day, 17:44:16 time: 0.4181 data_time: 0.0023 loss: 2.0162 03/04 08:18:25 - mmengine - INFO - Epoch(train) [30][1800/5005] lr: 1.0000e-01 eta: 1 day, 17:43:33 time: 0.4240 data_time: 0.0023 loss: 1.9342 03/04 08:18:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:19:07 - mmengine - INFO - Epoch(train) [30][1900/5005] lr: 1.0000e-01 eta: 1 day, 17:42:50 time: 0.4211 data_time: 0.0023 loss: 2.1740 03/04 08:19:49 - mmengine - INFO - Epoch(train) [30][2000/5005] lr: 1.0000e-01 eta: 1 day, 17:42:07 time: 0.4214 data_time: 0.0024 loss: 1.9959 03/04 08:20:32 - mmengine - INFO - Epoch(train) [30][2100/5005] lr: 1.0000e-01 eta: 1 day, 17:41:24 time: 0.4241 data_time: 0.0024 loss: 1.8519 03/04 08:21:14 - mmengine - INFO - Epoch(train) [30][2200/5005] lr: 1.0000e-01 eta: 1 day, 17:40:40 time: 0.4222 data_time: 0.0023 loss: 1.7575 03/04 08:21:56 - mmengine - INFO - Epoch(train) [30][2300/5005] lr: 1.0000e-01 eta: 1 day, 17:39:57 time: 0.4208 data_time: 0.0023 loss: 1.9789 03/04 08:22:38 - mmengine - INFO - Epoch(train) [30][2400/5005] lr: 1.0000e-01 eta: 1 day, 17:39:14 time: 0.4199 data_time: 0.0024 loss: 2.0855 03/04 08:23:20 - mmengine - INFO - Epoch(train) [30][2500/5005] lr: 1.0000e-01 eta: 1 day, 17:38:31 time: 0.4215 data_time: 0.0024 loss: 1.8098 03/04 08:24:03 - mmengine - INFO - Epoch(train) [30][2600/5005] lr: 1.0000e-01 eta: 1 day, 17:37:47 time: 0.4233 data_time: 0.0024 loss: 1.9109 03/04 08:24:45 - mmengine - INFO - Epoch(train) [30][2700/5005] lr: 1.0000e-01 eta: 1 day, 17:37:04 time: 0.4363 data_time: 0.0023 loss: 2.1944 03/04 08:25:27 - mmengine - INFO - Epoch(train) [30][2800/5005] lr: 1.0000e-01 eta: 1 day, 17:36:21 time: 0.4168 data_time: 0.0025 loss: 1.8406 03/04 08:25:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:26:09 - mmengine - INFO - Epoch(train) [30][2900/5005] lr: 1.0000e-01 eta: 1 day, 17:35:38 time: 0.4202 data_time: 0.0025 loss: 1.8547 03/04 08:26:51 - mmengine - INFO - Epoch(train) [30][3000/5005] lr: 1.0000e-01 eta: 1 day, 17:34:54 time: 0.4169 data_time: 0.0024 loss: 1.8838 03/04 08:27:34 - mmengine - INFO - Epoch(train) [30][3100/5005] lr: 1.0000e-01 eta: 1 day, 17:34:11 time: 0.4236 data_time: 0.0024 loss: 1.8700 03/04 08:28:16 - mmengine - INFO - Epoch(train) [30][3200/5005] lr: 1.0000e-01 eta: 1 day, 17:33:28 time: 0.4233 data_time: 0.0024 loss: 2.0517 03/04 08:28:58 - mmengine - INFO - Epoch(train) [30][3300/5005] lr: 1.0000e-01 eta: 1 day, 17:32:44 time: 0.4180 data_time: 0.0024 loss: 1.7796 03/04 08:29:40 - mmengine - INFO - Epoch(train) [30][3400/5005] lr: 1.0000e-01 eta: 1 day, 17:32:01 time: 0.4190 data_time: 0.0023 loss: 1.9609 03/04 08:30:22 - mmengine - INFO - Epoch(train) [30][3500/5005] lr: 1.0000e-01 eta: 1 day, 17:31:18 time: 0.4197 data_time: 0.0025 loss: 1.8743 03/04 08:31:05 - mmengine - INFO - Epoch(train) [30][3600/5005] lr: 1.0000e-01 eta: 1 day, 17:30:35 time: 0.4230 data_time: 0.0023 loss: 1.9897 03/04 08:31:47 - mmengine - INFO - Epoch(train) [30][3700/5005] lr: 1.0000e-01 eta: 1 day, 17:29:51 time: 0.4221 data_time: 0.0024 loss: 1.9820 03/04 08:32:29 - mmengine - INFO - Epoch(train) [30][3800/5005] lr: 1.0000e-01 eta: 1 day, 17:29:08 time: 0.4197 data_time: 0.0025 loss: 1.8574 03/04 08:32:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:33:11 - mmengine - INFO - Epoch(train) [30][3900/5005] lr: 1.0000e-01 eta: 1 day, 17:28:25 time: 0.4265 data_time: 0.0026 loss: 1.9111 03/04 08:33:53 - mmengine - INFO - Epoch(train) [30][4000/5005] lr: 1.0000e-01 eta: 1 day, 17:27:42 time: 0.4247 data_time: 0.0024 loss: 1.7931 03/04 08:34:36 - mmengine - INFO - Epoch(train) [30][4100/5005] lr: 1.0000e-01 eta: 1 day, 17:26:59 time: 0.4281 data_time: 0.0023 loss: 1.7828 03/04 08:35:18 - mmengine - INFO - Epoch(train) [30][4200/5005] lr: 1.0000e-01 eta: 1 day, 17:26:16 time: 0.4215 data_time: 0.0023 loss: 1.8107 03/04 08:36:00 - mmengine - INFO - Epoch(train) [30][4300/5005] lr: 1.0000e-01 eta: 1 day, 17:25:33 time: 0.4179 data_time: 0.0025 loss: 2.0381 03/04 08:36:43 - mmengine - INFO - Epoch(train) [30][4400/5005] lr: 1.0000e-01 eta: 1 day, 17:24:49 time: 0.4131 data_time: 0.0023 loss: 1.7121 03/04 08:37:25 - mmengine - INFO - Epoch(train) [30][4500/5005] lr: 1.0000e-01 eta: 1 day, 17:24:06 time: 0.4199 data_time: 0.0023 loss: 2.1403 03/04 08:38:07 - mmengine - INFO - Epoch(train) [30][4600/5005] lr: 1.0000e-01 eta: 1 day, 17:23:23 time: 0.4234 data_time: 0.0023 loss: 1.8488 03/04 08:38:49 - mmengine - INFO - Epoch(train) [30][4700/5005] lr: 1.0000e-01 eta: 1 day, 17:22:40 time: 0.4218 data_time: 0.0024 loss: 2.0361 03/04 08:39:32 - mmengine - INFO - Epoch(train) [30][4800/5005] lr: 1.0000e-01 eta: 1 day, 17:21:57 time: 0.4213 data_time: 0.0024 loss: 1.9148 03/04 08:39:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:40:14 - mmengine - INFO - Epoch(train) [30][4900/5005] lr: 1.0000e-01 eta: 1 day, 17:21:14 time: 0.4205 data_time: 0.0025 loss: 2.1150 03/04 08:40:56 - mmengine - INFO - Epoch(train) [30][5000/5005] lr: 1.0000e-01 eta: 1 day, 17:20:31 time: 0.4151 data_time: 0.0021 loss: 2.0759 03/04 08:40:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:40:59 - mmengine - INFO - Saving checkpoint at 30 epochs 03/04 08:41:11 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:00:08 time: 0.0283 data_time: 0.0004 03/04 08:41:25 - mmengine - INFO - Epoch(val) [30][196/196] accuracy/top1: 59.7360 accuracy/top5: 83.7060 03/04 08:42:11 - mmengine - INFO - Epoch(train) [31][ 100/5005] lr: 1.0000e-02 eta: 1 day, 17:19:54 time: 0.4163 data_time: 0.0024 loss: 1.2278 03/04 08:42:53 - mmengine - INFO - Epoch(train) [31][ 200/5005] lr: 1.0000e-02 eta: 1 day, 17:19:12 time: 0.4214 data_time: 0.0026 loss: 1.6212 03/04 08:43:36 - mmengine - INFO - Epoch(train) [31][ 300/5005] lr: 1.0000e-02 eta: 1 day, 17:18:30 time: 0.4268 data_time: 0.0024 loss: 1.3066 03/04 08:44:19 - mmengine - INFO - Epoch(train) [31][ 400/5005] lr: 1.0000e-02 eta: 1 day, 17:17:47 time: 0.4217 data_time: 0.0025 loss: 1.6054 03/04 08:45:01 - mmengine - INFO - Epoch(train) [31][ 500/5005] lr: 1.0000e-02 eta: 1 day, 17:17:05 time: 0.4232 data_time: 0.0025 loss: 1.4987 03/04 08:45:44 - mmengine - INFO - Epoch(train) [31][ 600/5005] lr: 1.0000e-02 eta: 1 day, 17:16:22 time: 0.4256 data_time: 0.0031 loss: 1.4776 03/04 08:46:26 - mmengine - INFO - Epoch(train) [31][ 700/5005] lr: 1.0000e-02 eta: 1 day, 17:15:39 time: 0.4226 data_time: 0.0037 loss: 1.4142 03/04 08:47:08 - mmengine - INFO - Epoch(train) [31][ 800/5005] lr: 1.0000e-02 eta: 1 day, 17:14:56 time: 0.4263 data_time: 0.0026 loss: 1.1275 03/04 08:47:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:47:51 - mmengine - INFO - Epoch(train) [31][ 900/5005] lr: 1.0000e-02 eta: 1 day, 17:14:14 time: 0.4220 data_time: 0.0024 loss: 1.5104 03/04 08:48:33 - mmengine - INFO - Epoch(train) [31][1000/5005] lr: 1.0000e-02 eta: 1 day, 17:13:31 time: 0.4208 data_time: 0.0025 loss: 1.5451 03/04 08:49:16 - mmengine - INFO - Epoch(train) [31][1100/5005] lr: 1.0000e-02 eta: 1 day, 17:12:48 time: 0.4220 data_time: 0.0024 loss: 1.3578 03/04 08:49:58 - mmengine - INFO - Epoch(train) [31][1200/5005] lr: 1.0000e-02 eta: 1 day, 17:12:05 time: 0.4228 data_time: 0.0025 loss: 1.6041 03/04 08:50:40 - mmengine - INFO - Epoch(train) [31][1300/5005] lr: 1.0000e-02 eta: 1 day, 17:11:22 time: 0.4222 data_time: 0.0024 loss: 1.3626 03/04 08:51:23 - mmengine - INFO - Epoch(train) [31][1400/5005] lr: 1.0000e-02 eta: 1 day, 17:10:39 time: 0.4141 data_time: 0.0024 loss: 1.5431 03/04 08:52:05 - mmengine - INFO - Epoch(train) [31][1500/5005] lr: 1.0000e-02 eta: 1 day, 17:09:56 time: 0.4272 data_time: 0.0025 loss: 1.4744 03/04 08:52:47 - mmengine - INFO - Epoch(train) [31][1600/5005] lr: 1.0000e-02 eta: 1 day, 17:09:13 time: 0.4206 data_time: 0.0024 loss: 1.1525 03/04 08:53:30 - mmengine - INFO - Epoch(train) [31][1700/5005] lr: 1.0000e-02 eta: 1 day, 17:08:31 time: 0.4214 data_time: 0.0025 loss: 1.4416 03/04 08:54:12 - mmengine - INFO - Epoch(train) [31][1800/5005] lr: 1.0000e-02 eta: 1 day, 17:07:48 time: 0.4234 data_time: 0.0025 loss: 1.3971 03/04 08:54:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 08:54:54 - mmengine - INFO - Epoch(train) [31][1900/5005] lr: 1.0000e-02 eta: 1 day, 17:07:05 time: 0.4204 data_time: 0.0024 loss: 1.3105 03/04 08:55:37 - mmengine - INFO - Epoch(train) [31][2000/5005] lr: 1.0000e-02 eta: 1 day, 17:06:22 time: 0.4278 data_time: 0.0023 loss: 1.4860 03/04 08:56:19 - mmengine - INFO - Epoch(train) [31][2100/5005] lr: 1.0000e-02 eta: 1 day, 17:05:39 time: 0.4226 data_time: 0.0024 loss: 1.5449 03/04 08:57:01 - mmengine - INFO - Epoch(train) [31][2200/5005] lr: 1.0000e-02 eta: 1 day, 17:04:56 time: 0.4271 data_time: 0.0024 loss: 1.4369 03/04 08:57:44 - mmengine - INFO - Epoch(train) [31][2300/5005] lr: 1.0000e-02 eta: 1 day, 17:04:14 time: 0.4197 data_time: 0.0023 loss: 1.2790 03/04 08:58:26 - mmengine - INFO - Epoch(train) [31][2400/5005] lr: 1.0000e-02 eta: 1 day, 17:03:30 time: 0.4222 data_time: 0.0024 loss: 1.3799 03/04 08:59:09 - mmengine - INFO - Epoch(train) [31][2500/5005] lr: 1.0000e-02 eta: 1 day, 17:02:48 time: 0.4261 data_time: 0.0024 loss: 1.5055 03/04 08:59:51 - mmengine - INFO - Epoch(train) [31][2600/5005] lr: 1.0000e-02 eta: 1 day, 17:02:05 time: 0.4193 data_time: 0.0024 loss: 1.3630 03/04 09:00:33 - mmengine - INFO - Epoch(train) [31][2700/5005] lr: 1.0000e-02 eta: 1 day, 17:01:21 time: 0.4222 data_time: 0.0025 loss: 1.5034 03/04 09:01:15 - mmengine - INFO - Epoch(train) [31][2800/5005] lr: 1.0000e-02 eta: 1 day, 17:00:38 time: 0.4208 data_time: 0.0024 loss: 1.4010 03/04 09:01:36 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:01:58 - mmengine - INFO - Epoch(train) [31][2900/5005] lr: 1.0000e-02 eta: 1 day, 16:59:55 time: 0.4221 data_time: 0.0024 loss: 1.4544 03/04 09:02:40 - mmengine - INFO - Epoch(train) [31][3000/5005] lr: 1.0000e-02 eta: 1 day, 16:59:12 time: 0.4220 data_time: 0.0023 loss: 1.4930 03/04 09:03:22 - mmengine - INFO - Epoch(train) [31][3100/5005] lr: 1.0000e-02 eta: 1 day, 16:58:29 time: 0.4269 data_time: 0.0024 loss: 1.3790 03/04 09:04:05 - mmengine - INFO - Epoch(train) [31][3200/5005] lr: 1.0000e-02 eta: 1 day, 16:57:47 time: 0.4206 data_time: 0.0024 loss: 1.2379 03/04 09:04:47 - mmengine - INFO - Epoch(train) [31][3300/5005] lr: 1.0000e-02 eta: 1 day, 16:57:04 time: 0.4237 data_time: 0.0024 loss: 1.4012 03/04 09:05:29 - mmengine - INFO - Epoch(train) [31][3400/5005] lr: 1.0000e-02 eta: 1 day, 16:56:21 time: 0.4312 data_time: 0.0024 loss: 1.4501 03/04 09:06:12 - mmengine - INFO - Epoch(train) [31][3500/5005] lr: 1.0000e-02 eta: 1 day, 16:55:38 time: 0.4232 data_time: 0.0024 loss: 1.4705 03/04 09:06:54 - mmengine - INFO - Epoch(train) [31][3600/5005] lr: 1.0000e-02 eta: 1 day, 16:54:55 time: 0.4224 data_time: 0.0024 loss: 1.4275 03/04 09:07:36 - mmengine - INFO - Epoch(train) [31][3700/5005] lr: 1.0000e-02 eta: 1 day, 16:54:12 time: 0.4276 data_time: 0.0023 loss: 1.3711 03/04 09:08:19 - mmengine - INFO - Epoch(train) [31][3800/5005] lr: 1.0000e-02 eta: 1 day, 16:53:29 time: 0.4205 data_time: 0.0024 loss: 1.1663 03/04 09:08:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:09:01 - mmengine - INFO - Epoch(train) [31][3900/5005] lr: 1.0000e-02 eta: 1 day, 16:52:46 time: 0.4187 data_time: 0.0024 loss: 1.2665 03/04 09:09:43 - mmengine - INFO - Epoch(train) [31][4000/5005] lr: 1.0000e-02 eta: 1 day, 16:52:03 time: 0.4217 data_time: 0.0024 loss: 1.2719 03/04 09:10:26 - mmengine - INFO - Epoch(train) [31][4100/5005] lr: 1.0000e-02 eta: 1 day, 16:51:20 time: 0.4240 data_time: 0.0025 loss: 1.3954 03/04 09:11:08 - mmengine - INFO - Epoch(train) [31][4200/5005] lr: 1.0000e-02 eta: 1 day, 16:50:38 time: 0.4271 data_time: 0.0024 loss: 1.2751 03/04 09:11:50 - mmengine - INFO - Epoch(train) [31][4300/5005] lr: 1.0000e-02 eta: 1 day, 16:49:55 time: 0.4227 data_time: 0.0023 loss: 1.3728 03/04 09:12:33 - mmengine - INFO - Epoch(train) [31][4400/5005] lr: 1.0000e-02 eta: 1 day, 16:49:12 time: 0.4244 data_time: 0.0024 loss: 1.3536 03/04 09:13:15 - mmengine - INFO - Epoch(train) [31][4500/5005] lr: 1.0000e-02 eta: 1 day, 16:48:29 time: 0.4276 data_time: 0.0023 loss: 1.4045 03/04 09:13:58 - mmengine - INFO - Epoch(train) [31][4600/5005] lr: 1.0000e-02 eta: 1 day, 16:47:46 time: 0.4171 data_time: 0.0025 loss: 1.2441 03/04 09:14:40 - mmengine - INFO - Epoch(train) [31][4700/5005] lr: 1.0000e-02 eta: 1 day, 16:47:04 time: 0.4244 data_time: 0.0023 loss: 1.4245 03/04 09:15:22 - mmengine - INFO - Epoch(train) [31][4800/5005] lr: 1.0000e-02 eta: 1 day, 16:46:21 time: 0.4198 data_time: 0.0023 loss: 1.3082 03/04 09:15:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:16:05 - mmengine - INFO - Epoch(train) [31][4900/5005] lr: 1.0000e-02 eta: 1 day, 16:45:38 time: 0.4305 data_time: 0.0023 loss: 1.3270 03/04 09:16:47 - mmengine - INFO - Epoch(train) [31][5000/5005] lr: 1.0000e-02 eta: 1 day, 16:44:56 time: 0.4196 data_time: 0.0022 loss: 1.2946 03/04 09:16:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:16:50 - mmengine - INFO - Saving checkpoint at 31 epochs 03/04 09:17:02 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:00:09 time: 0.0281 data_time: 0.0005 03/04 09:17:16 - mmengine - INFO - Epoch(val) [31][196/196] accuracy/top1: 73.2940 accuracy/top5: 91.6280 03/04 09:18:01 - mmengine - INFO - Epoch(train) [32][ 100/5005] lr: 1.0000e-02 eta: 1 day, 16:44:17 time: 0.4195 data_time: 0.0025 loss: 1.3632 03/04 09:18:43 - mmengine - INFO - Epoch(train) [32][ 200/5005] lr: 1.0000e-02 eta: 1 day, 16:43:34 time: 0.4202 data_time: 0.0025 loss: 1.3526 03/04 09:19:26 - mmengine - INFO - Epoch(train) [32][ 300/5005] lr: 1.0000e-02 eta: 1 day, 16:42:52 time: 0.4336 data_time: 0.0024 loss: 1.3954 03/04 09:20:08 - mmengine - INFO - Epoch(train) [32][ 400/5005] lr: 1.0000e-02 eta: 1 day, 16:42:09 time: 0.4219 data_time: 0.0025 loss: 1.3712 03/04 09:20:51 - mmengine - INFO - Epoch(train) [32][ 500/5005] lr: 1.0000e-02 eta: 1 day, 16:41:26 time: 0.4248 data_time: 0.0024 loss: 1.3086 03/04 09:21:33 - mmengine - INFO - Epoch(train) [32][ 600/5005] lr: 1.0000e-02 eta: 1 day, 16:40:43 time: 0.4241 data_time: 0.0025 loss: 1.3756 03/04 09:22:15 - mmengine - INFO - Epoch(train) [32][ 700/5005] lr: 1.0000e-02 eta: 1 day, 16:40:00 time: 0.4191 data_time: 0.0025 loss: 1.3879 03/04 09:22:58 - mmengine - INFO - Epoch(train) [32][ 800/5005] lr: 1.0000e-02 eta: 1 day, 16:39:17 time: 0.4195 data_time: 0.0028 loss: 1.2657 03/04 09:23:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:23:40 - mmengine - INFO - Epoch(train) [32][ 900/5005] lr: 1.0000e-02 eta: 1 day, 16:38:35 time: 0.4277 data_time: 0.0027 loss: 1.3644 03/04 09:24:22 - mmengine - INFO - Epoch(train) [32][1000/5005] lr: 1.0000e-02 eta: 1 day, 16:37:52 time: 0.4169 data_time: 0.0024 loss: 1.3470 03/04 09:25:05 - mmengine - INFO - Epoch(train) [32][1100/5005] lr: 1.0000e-02 eta: 1 day, 16:37:09 time: 0.4190 data_time: 0.0026 loss: 1.3210 03/04 09:25:47 - mmengine - INFO - Epoch(train) [32][1200/5005] lr: 1.0000e-02 eta: 1 day, 16:36:26 time: 0.4206 data_time: 0.0027 loss: 1.4111 03/04 09:26:30 - mmengine - INFO - Epoch(train) [32][1300/5005] lr: 1.0000e-02 eta: 1 day, 16:35:44 time: 0.4299 data_time: 0.0023 loss: 1.4752 03/04 09:27:12 - mmengine - INFO - Epoch(train) [32][1400/5005] lr: 1.0000e-02 eta: 1 day, 16:35:01 time: 0.4247 data_time: 0.0024 loss: 1.3541 03/04 09:27:54 - mmengine - INFO - Epoch(train) [32][1500/5005] lr: 1.0000e-02 eta: 1 day, 16:34:18 time: 0.4252 data_time: 0.0023 loss: 1.3659 03/04 09:28:36 - mmengine - INFO - Epoch(train) [32][1600/5005] lr: 1.0000e-02 eta: 1 day, 16:33:34 time: 0.4218 data_time: 0.0024 loss: 1.2871 03/04 09:29:19 - mmengine - INFO - Epoch(train) [32][1700/5005] lr: 1.0000e-02 eta: 1 day, 16:32:52 time: 0.4194 data_time: 0.0024 loss: 1.1300 03/04 09:30:01 - mmengine - INFO - Epoch(train) [32][1800/5005] lr: 1.0000e-02 eta: 1 day, 16:32:09 time: 0.4211 data_time: 0.0024 loss: 1.4817 03/04 09:30:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:30:43 - mmengine - INFO - Epoch(train) [32][1900/5005] lr: 1.0000e-02 eta: 1 day, 16:31:26 time: 0.4250 data_time: 0.0024 loss: 1.3547 03/04 09:31:26 - mmengine - INFO - Epoch(train) [32][2000/5005] lr: 1.0000e-02 eta: 1 day, 16:30:43 time: 0.4232 data_time: 0.0025 loss: 1.0730 03/04 09:32:08 - mmengine - INFO - Epoch(train) [32][2100/5005] lr: 1.0000e-02 eta: 1 day, 16:29:59 time: 0.4205 data_time: 0.0025 loss: 1.2792 03/04 09:32:50 - mmengine - INFO - Epoch(train) [32][2200/5005] lr: 1.0000e-02 eta: 1 day, 16:29:16 time: 0.4239 data_time: 0.0025 loss: 1.2266 03/04 09:33:33 - mmengine - INFO - Epoch(train) [32][2300/5005] lr: 1.0000e-02 eta: 1 day, 16:28:34 time: 0.4391 data_time: 0.0025 loss: 1.2383 03/04 09:34:15 - mmengine - INFO - Epoch(train) [32][2400/5005] lr: 1.0000e-02 eta: 1 day, 16:27:51 time: 0.4231 data_time: 0.0024 loss: 1.2104 03/04 09:34:57 - mmengine - INFO - Epoch(train) [32][2500/5005] lr: 1.0000e-02 eta: 1 day, 16:27:08 time: 0.4239 data_time: 0.0025 loss: 1.3617 03/04 09:35:40 - mmengine - INFO - Epoch(train) [32][2600/5005] lr: 1.0000e-02 eta: 1 day, 16:26:26 time: 0.4273 data_time: 0.0025 loss: 1.1512 03/04 09:36:22 - mmengine - INFO - Epoch(train) [32][2700/5005] lr: 1.0000e-02 eta: 1 day, 16:25:43 time: 0.4221 data_time: 0.0024 loss: 1.2630 03/04 09:37:05 - mmengine - INFO - Epoch(train) [32][2800/5005] lr: 1.0000e-02 eta: 1 day, 16:25:00 time: 0.4242 data_time: 0.0025 loss: 1.3178 03/04 09:37:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:37:47 - mmengine - INFO - Epoch(train) [32][2900/5005] lr: 1.0000e-02 eta: 1 day, 16:24:17 time: 0.4184 data_time: 0.0026 loss: 1.3739 03/04 09:38:29 - mmengine - INFO - Epoch(train) [32][3000/5005] lr: 1.0000e-02 eta: 1 day, 16:23:34 time: 0.4190 data_time: 0.0024 loss: 1.3774 03/04 09:39:11 - mmengine - INFO - Epoch(train) [32][3100/5005] lr: 1.0000e-02 eta: 1 day, 16:22:51 time: 0.4277 data_time: 0.0024 loss: 1.3958 03/04 09:39:54 - mmengine - INFO - Epoch(train) [32][3200/5005] lr: 1.0000e-02 eta: 1 day, 16:22:08 time: 0.4239 data_time: 0.0026 loss: 1.2784 03/04 09:40:36 - mmengine - INFO - Epoch(train) [32][3300/5005] lr: 1.0000e-02 eta: 1 day, 16:21:25 time: 0.4224 data_time: 0.0024 loss: 1.3130 03/04 09:41:18 - mmengine - INFO - Epoch(train) [32][3400/5005] lr: 1.0000e-02 eta: 1 day, 16:20:42 time: 0.4240 data_time: 0.0025 loss: 1.3981 03/04 09:42:01 - mmengine - INFO - Epoch(train) [32][3500/5005] lr: 1.0000e-02 eta: 1 day, 16:19:59 time: 0.4253 data_time: 0.0025 loss: 1.4870 03/04 09:42:43 - mmengine - INFO - Epoch(train) [32][3600/5005] lr: 1.0000e-02 eta: 1 day, 16:19:16 time: 0.4185 data_time: 0.0026 loss: 1.3310 03/04 09:43:25 - mmengine - INFO - Epoch(train) [32][3700/5005] lr: 1.0000e-02 eta: 1 day, 16:18:33 time: 0.4225 data_time: 0.0026 loss: 1.1076 03/04 09:44:08 - mmengine - INFO - Epoch(train) [32][3800/5005] lr: 1.0000e-02 eta: 1 day, 16:17:51 time: 0.4197 data_time: 0.0025 loss: 1.3136 03/04 09:44:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:44:50 - mmengine - INFO - Epoch(train) [32][3900/5005] lr: 1.0000e-02 eta: 1 day, 16:17:08 time: 0.4235 data_time: 0.0025 loss: 1.1806 03/04 09:45:33 - mmengine - INFO - Epoch(train) [32][4000/5005] lr: 1.0000e-02 eta: 1 day, 16:16:25 time: 0.4214 data_time: 0.0024 loss: 1.1001 03/04 09:46:15 - mmengine - INFO - Epoch(train) [32][4100/5005] lr: 1.0000e-02 eta: 1 day, 16:15:43 time: 0.4226 data_time: 0.0023 loss: 1.1673 03/04 09:46:57 - mmengine - INFO - Epoch(train) [32][4200/5005] lr: 1.0000e-02 eta: 1 day, 16:14:59 time: 0.4180 data_time: 0.0025 loss: 1.3065 03/04 09:47:40 - mmengine - INFO - Epoch(train) [32][4300/5005] lr: 1.0000e-02 eta: 1 day, 16:14:16 time: 0.4191 data_time: 0.0027 loss: 1.2828 03/04 09:48:22 - mmengine - INFO - Epoch(train) [32][4400/5005] lr: 1.0000e-02 eta: 1 day, 16:13:34 time: 0.4243 data_time: 0.0025 loss: 1.1976 03/04 09:49:04 - mmengine - INFO - Epoch(train) [32][4500/5005] lr: 1.0000e-02 eta: 1 day, 16:12:51 time: 0.4186 data_time: 0.0024 loss: 1.2388 03/04 09:49:47 - mmengine - INFO - Epoch(train) [32][4600/5005] lr: 1.0000e-02 eta: 1 day, 16:12:08 time: 0.4226 data_time: 0.0026 loss: 1.3684 03/04 09:50:29 - mmengine - INFO - Epoch(train) [32][4700/5005] lr: 1.0000e-02 eta: 1 day, 16:11:25 time: 0.4203 data_time: 0.0024 loss: 1.3121 03/04 09:51:12 - mmengine - INFO - Epoch(train) [32][4800/5005] lr: 1.0000e-02 eta: 1 day, 16:10:43 time: 0.4306 data_time: 0.0024 loss: 1.4029 03/04 09:51:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:51:54 - mmengine - INFO - Epoch(train) [32][4900/5005] lr: 1.0000e-02 eta: 1 day, 16:10:00 time: 0.4257 data_time: 0.0025 loss: 1.2185 03/04 09:52:37 - mmengine - INFO - Epoch(train) [32][5000/5005] lr: 1.0000e-02 eta: 1 day, 16:09:18 time: 0.4187 data_time: 0.0022 loss: 1.3723 03/04 09:52:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:52:40 - mmengine - INFO - Saving checkpoint at 32 epochs 03/04 09:52:52 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:00:09 time: 0.0281 data_time: 0.0005 03/04 09:53:05 - mmengine - INFO - Epoch(val) [32][196/196] accuracy/top1: 74.0380 accuracy/top5: 92.2500 03/04 09:53:51 - mmengine - INFO - Epoch(train) [33][ 100/5005] lr: 1.0000e-02 eta: 1 day, 16:08:40 time: 0.4281 data_time: 0.0030 loss: 1.2881 03/04 09:54:34 - mmengine - INFO - Epoch(train) [33][ 200/5005] lr: 1.0000e-02 eta: 1 day, 16:07:57 time: 0.4233 data_time: 0.0025 loss: 1.0504 03/04 09:55:16 - mmengine - INFO - Epoch(train) [33][ 300/5005] lr: 1.0000e-02 eta: 1 day, 16:07:15 time: 0.4201 data_time: 0.0025 loss: 1.2793 03/04 09:55:58 - mmengine - INFO - Epoch(train) [33][ 400/5005] lr: 1.0000e-02 eta: 1 day, 16:06:32 time: 0.4198 data_time: 0.0024 loss: 1.3675 03/04 09:56:41 - mmengine - INFO - Epoch(train) [33][ 500/5005] lr: 1.0000e-02 eta: 1 day, 16:05:49 time: 0.4243 data_time: 0.0025 loss: 1.1275 03/04 09:57:23 - mmengine - INFO - Epoch(train) [33][ 600/5005] lr: 1.0000e-02 eta: 1 day, 16:05:07 time: 0.4215 data_time: 0.0026 loss: 1.2302 03/04 09:58:06 - mmengine - INFO - Epoch(train) [33][ 700/5005] lr: 1.0000e-02 eta: 1 day, 16:04:24 time: 0.4213 data_time: 0.0025 loss: 1.1963 03/04 09:58:48 - mmengine - INFO - Epoch(train) [33][ 800/5005] lr: 1.0000e-02 eta: 1 day, 16:03:42 time: 0.4255 data_time: 0.0024 loss: 1.2093 03/04 09:59:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 09:59:31 - mmengine - INFO - Epoch(train) [33][ 900/5005] lr: 1.0000e-02 eta: 1 day, 16:02:59 time: 0.4259 data_time: 0.0027 loss: 1.3486 03/04 10:00:13 - mmengine - INFO - Epoch(train) [33][1000/5005] lr: 1.0000e-02 eta: 1 day, 16:02:16 time: 0.4190 data_time: 0.0025 loss: 1.4547 03/04 10:00:56 - mmengine - INFO - Epoch(train) [33][1100/5005] lr: 1.0000e-02 eta: 1 day, 16:01:34 time: 0.4183 data_time: 0.0024 loss: 1.1830 03/04 10:01:38 - mmengine - INFO - Epoch(train) [33][1200/5005] lr: 1.0000e-02 eta: 1 day, 16:00:52 time: 0.4438 data_time: 0.0024 loss: 1.1781 03/04 10:02:21 - mmengine - INFO - Epoch(train) [33][1300/5005] lr: 1.0000e-02 eta: 1 day, 16:00:08 time: 0.4225 data_time: 0.0024 loss: 1.0663 03/04 10:03:03 - mmengine - INFO - Epoch(train) [33][1400/5005] lr: 1.0000e-02 eta: 1 day, 15:59:26 time: 0.4239 data_time: 0.0024 loss: 1.1800 03/04 10:03:45 - mmengine - INFO - Epoch(train) [33][1500/5005] lr: 1.0000e-02 eta: 1 day, 15:58:43 time: 0.4238 data_time: 0.0025 loss: 1.2726 03/04 10:04:28 - mmengine - INFO - Epoch(train) [33][1600/5005] lr: 1.0000e-02 eta: 1 day, 15:58:00 time: 0.4248 data_time: 0.0025 loss: 1.3861 03/04 10:05:10 - mmengine - INFO - Epoch(train) [33][1700/5005] lr: 1.0000e-02 eta: 1 day, 15:57:17 time: 0.4230 data_time: 0.0024 loss: 1.0842 03/04 10:05:52 - mmengine - INFO - Epoch(train) [33][1800/5005] lr: 1.0000e-02 eta: 1 day, 15:56:34 time: 0.4194 data_time: 0.0025 loss: 1.4510 03/04 10:06:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:06:34 - mmengine - INFO - Epoch(train) [33][1900/5005] lr: 1.0000e-02 eta: 1 day, 15:55:50 time: 0.4217 data_time: 0.0023 loss: 1.3854 03/04 10:07:17 - mmengine - INFO - Epoch(train) [33][2000/5005] lr: 1.0000e-02 eta: 1 day, 15:55:08 time: 0.4230 data_time: 0.0025 loss: 1.1753 03/04 10:07:59 - mmengine - INFO - Epoch(train) [33][2100/5005] lr: 1.0000e-02 eta: 1 day, 15:54:25 time: 0.4229 data_time: 0.0024 loss: 1.2386 03/04 10:08:41 - mmengine - INFO - Epoch(train) [33][2200/5005] lr: 1.0000e-02 eta: 1 day, 15:53:41 time: 0.4193 data_time: 0.0024 loss: 1.2738 03/04 10:09:23 - mmengine - INFO - Epoch(train) [33][2300/5005] lr: 1.0000e-02 eta: 1 day, 15:52:59 time: 0.4246 data_time: 0.0025 loss: 1.3104 03/04 10:10:06 - mmengine - INFO - Epoch(train) [33][2400/5005] lr: 1.0000e-02 eta: 1 day, 15:52:16 time: 0.4232 data_time: 0.0024 loss: 1.1634 03/04 10:10:48 - mmengine - INFO - Epoch(train) [33][2500/5005] lr: 1.0000e-02 eta: 1 day, 15:51:33 time: 0.4221 data_time: 0.0026 loss: 1.2786 03/04 10:11:30 - mmengine - INFO - Epoch(train) [33][2600/5005] lr: 1.0000e-02 eta: 1 day, 15:50:50 time: 0.4258 data_time: 0.0024 loss: 1.6134 03/04 10:12:13 - mmengine - INFO - Epoch(train) [33][2700/5005] lr: 1.0000e-02 eta: 1 day, 15:50:07 time: 0.4195 data_time: 0.0026 loss: 1.0486 03/04 10:12:55 - mmengine - INFO - Epoch(train) [33][2800/5005] lr: 1.0000e-02 eta: 1 day, 15:49:24 time: 0.4211 data_time: 0.0025 loss: 1.1784 03/04 10:13:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:13:37 - mmengine - INFO - Epoch(train) [33][2900/5005] lr: 1.0000e-02 eta: 1 day, 15:48:41 time: 0.4242 data_time: 0.0026 loss: 1.5555 03/04 10:14:20 - mmengine - INFO - Epoch(train) [33][3000/5005] lr: 1.0000e-02 eta: 1 day, 15:47:58 time: 0.4222 data_time: 0.0026 loss: 1.5204 03/04 10:15:02 - mmengine - INFO - Epoch(train) [33][3100/5005] lr: 1.0000e-02 eta: 1 day, 15:47:16 time: 0.4263 data_time: 0.0025 loss: 1.2450 03/04 10:15:44 - mmengine - INFO - Epoch(train) [33][3200/5005] lr: 1.0000e-02 eta: 1 day, 15:46:33 time: 0.4258 data_time: 0.0024 loss: 1.2738 03/04 10:16:27 - mmengine - INFO - Epoch(train) [33][3300/5005] lr: 1.0000e-02 eta: 1 day, 15:45:50 time: 0.4207 data_time: 0.0024 loss: 1.2290 03/04 10:17:09 - mmengine - INFO - Epoch(train) [33][3400/5005] lr: 1.0000e-02 eta: 1 day, 15:45:07 time: 0.4227 data_time: 0.0024 loss: 1.1009 03/04 10:17:51 - mmengine - INFO - Epoch(train) [33][3500/5005] lr: 1.0000e-02 eta: 1 day, 15:44:24 time: 0.4226 data_time: 0.0024 loss: 1.1892 03/04 10:18:34 - mmengine - INFO - Epoch(train) [33][3600/5005] lr: 1.0000e-02 eta: 1 day, 15:43:41 time: 0.4229 data_time: 0.0024 loss: 1.2593 03/04 10:19:16 - mmengine - INFO - Epoch(train) [33][3700/5005] lr: 1.0000e-02 eta: 1 day, 15:42:58 time: 0.4175 data_time: 0.0025 loss: 1.1402 03/04 10:19:58 - mmengine - INFO - Epoch(train) [33][3800/5005] lr: 1.0000e-02 eta: 1 day, 15:42:15 time: 0.4226 data_time: 0.0023 loss: 1.3948 03/04 10:20:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:20:40 - mmengine - INFO - Epoch(train) [33][3900/5005] lr: 1.0000e-02 eta: 1 day, 15:41:32 time: 0.4160 data_time: 0.0026 loss: 1.2450 03/04 10:21:23 - mmengine - INFO - Epoch(train) [33][4000/5005] lr: 1.0000e-02 eta: 1 day, 15:40:49 time: 0.4212 data_time: 0.0025 loss: 1.1687 03/04 10:22:05 - mmengine - INFO - Epoch(train) [33][4100/5005] lr: 1.0000e-02 eta: 1 day, 15:40:06 time: 0.4211 data_time: 0.0025 loss: 1.2689 03/04 10:22:47 - mmengine - INFO - Epoch(train) [33][4200/5005] lr: 1.0000e-02 eta: 1 day, 15:39:23 time: 0.4211 data_time: 0.0025 loss: 1.2880 03/04 10:23:29 - mmengine - INFO - Epoch(train) [33][4300/5005] lr: 1.0000e-02 eta: 1 day, 15:38:40 time: 0.4212 data_time: 0.0024 loss: 1.1525 03/04 10:24:12 - mmengine - INFO - Epoch(train) [33][4400/5005] lr: 1.0000e-02 eta: 1 day, 15:37:57 time: 0.4238 data_time: 0.0025 loss: 1.5516 03/04 10:24:54 - mmengine - INFO - Epoch(train) [33][4500/5005] lr: 1.0000e-02 eta: 1 day, 15:37:14 time: 0.4207 data_time: 0.0027 loss: 1.1762 03/04 10:25:36 - mmengine - INFO - Epoch(train) [33][4600/5005] lr: 1.0000e-02 eta: 1 day, 15:36:31 time: 0.4209 data_time: 0.0027 loss: 1.1920 03/04 10:26:19 - mmengine - INFO - Epoch(train) [33][4700/5005] lr: 1.0000e-02 eta: 1 day, 15:35:49 time: 0.4238 data_time: 0.0025 loss: 1.2007 03/04 10:27:01 - mmengine - INFO - Epoch(train) [33][4800/5005] lr: 1.0000e-02 eta: 1 day, 15:35:06 time: 0.4213 data_time: 0.0026 loss: 1.3227 03/04 10:27:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:27:44 - mmengine - INFO - Epoch(train) [33][4900/5005] lr: 1.0000e-02 eta: 1 day, 15:34:23 time: 0.4271 data_time: 0.0024 loss: 1.3531 03/04 10:28:26 - mmengine - INFO - Epoch(train) [33][5000/5005] lr: 1.0000e-02 eta: 1 day, 15:33:40 time: 0.4160 data_time: 0.0022 loss: 1.3477 03/04 10:28:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:28:29 - mmengine - INFO - Saving checkpoint at 33 epochs 03/04 10:28:41 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:00:08 time: 0.0286 data_time: 0.0005 03/04 10:28:54 - mmengine - INFO - Epoch(val) [33][196/196] accuracy/top1: 74.4900 accuracy/top5: 92.3340 03/04 10:29:40 - mmengine - INFO - Epoch(train) [34][ 100/5005] lr: 1.0000e-02 eta: 1 day, 15:33:02 time: 0.4178 data_time: 0.0026 loss: 1.3313 03/04 10:30:22 - mmengine - INFO - Epoch(train) [34][ 200/5005] lr: 1.0000e-02 eta: 1 day, 15:32:19 time: 0.4249 data_time: 0.0024 loss: 1.2123 03/04 10:31:05 - mmengine - INFO - Epoch(train) [34][ 300/5005] lr: 1.0000e-02 eta: 1 day, 15:31:37 time: 0.4205 data_time: 0.0027 loss: 1.2840 03/04 10:31:48 - mmengine - INFO - Epoch(train) [34][ 400/5005] lr: 1.0000e-02 eta: 1 day, 15:30:54 time: 0.4231 data_time: 0.0025 loss: 1.0860 03/04 10:32:30 - mmengine - INFO - Epoch(train) [34][ 500/5005] lr: 1.0000e-02 eta: 1 day, 15:30:11 time: 0.4244 data_time: 0.0024 loss: 1.2251 03/04 10:33:12 - mmengine - INFO - Epoch(train) [34][ 600/5005] lr: 1.0000e-02 eta: 1 day, 15:29:29 time: 0.4203 data_time: 0.0024 loss: 1.2171 03/04 10:33:55 - mmengine - INFO - Epoch(train) [34][ 700/5005] lr: 1.0000e-02 eta: 1 day, 15:28:46 time: 0.4236 data_time: 0.0025 loss: 1.4361 03/04 10:34:37 - mmengine - INFO - Epoch(train) [34][ 800/5005] lr: 1.0000e-02 eta: 1 day, 15:28:04 time: 0.4351 data_time: 0.0025 loss: 1.1893 03/04 10:34:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:35:20 - mmengine - INFO - Epoch(train) [34][ 900/5005] lr: 1.0000e-02 eta: 1 day, 15:27:21 time: 0.4248 data_time: 0.0025 loss: 1.1546 03/04 10:36:02 - mmengine - INFO - Epoch(train) [34][1000/5005] lr: 1.0000e-02 eta: 1 day, 15:26:38 time: 0.4293 data_time: 0.0024 loss: 1.4173 03/04 10:36:45 - mmengine - INFO - Epoch(train) [34][1100/5005] lr: 1.0000e-02 eta: 1 day, 15:25:56 time: 0.4300 data_time: 0.0026 loss: 1.2347 03/04 10:37:27 - mmengine - INFO - Epoch(train) [34][1200/5005] lr: 1.0000e-02 eta: 1 day, 15:25:13 time: 0.4251 data_time: 0.0024 loss: 1.3199 03/04 10:38:10 - mmengine - INFO - Epoch(train) [34][1300/5005] lr: 1.0000e-02 eta: 1 day, 15:24:30 time: 0.4228 data_time: 0.0024 loss: 1.4078 03/04 10:38:52 - mmengine - INFO - Epoch(train) [34][1400/5005] lr: 1.0000e-02 eta: 1 day, 15:23:47 time: 0.4245 data_time: 0.0025 loss: 1.0463 03/04 10:39:34 - mmengine - INFO - Epoch(train) [34][1500/5005] lr: 1.0000e-02 eta: 1 day, 15:23:05 time: 0.4212 data_time: 0.0024 loss: 1.3034 03/04 10:40:17 - mmengine - INFO - Epoch(train) [34][1600/5005] lr: 1.0000e-02 eta: 1 day, 15:22:22 time: 0.4229 data_time: 0.0025 loss: 1.3710 03/04 10:40:59 - mmengine - INFO - Epoch(train) [34][1700/5005] lr: 1.0000e-02 eta: 1 day, 15:21:39 time: 0.4256 data_time: 0.0025 loss: 1.1489 03/04 10:41:42 - mmengine - INFO - Epoch(train) [34][1800/5005] lr: 1.0000e-02 eta: 1 day, 15:20:57 time: 0.4207 data_time: 0.0025 loss: 1.1659 03/04 10:41:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:42:24 - mmengine - INFO - Epoch(train) [34][1900/5005] lr: 1.0000e-02 eta: 1 day, 15:20:14 time: 0.4249 data_time: 0.0024 loss: 1.2938 03/04 10:43:07 - mmengine - INFO - Epoch(train) [34][2000/5005] lr: 1.0000e-02 eta: 1 day, 15:19:32 time: 0.4211 data_time: 0.0025 loss: 1.2537 03/04 10:43:49 - mmengine - INFO - Epoch(train) [34][2100/5005] lr: 1.0000e-02 eta: 1 day, 15:18:49 time: 0.4237 data_time: 0.0025 loss: 1.3792 03/04 10:44:32 - mmengine - INFO - Epoch(train) [34][2200/5005] lr: 1.0000e-02 eta: 1 day, 15:18:07 time: 0.4313 data_time: 0.0026 loss: 1.2789 03/04 10:45:14 - mmengine - INFO - Epoch(train) [34][2300/5005] lr: 1.0000e-02 eta: 1 day, 15:17:24 time: 0.4280 data_time: 0.0025 loss: 1.2822 03/04 10:45:57 - mmengine - INFO - Epoch(train) [34][2400/5005] lr: 1.0000e-02 eta: 1 day, 15:16:42 time: 0.4239 data_time: 0.0025 loss: 1.4157 03/04 10:46:39 - mmengine - INFO - Epoch(train) [34][2500/5005] lr: 1.0000e-02 eta: 1 day, 15:15:59 time: 0.4213 data_time: 0.0027 loss: 1.2968 03/04 10:47:22 - mmengine - INFO - Epoch(train) [34][2600/5005] lr: 1.0000e-02 eta: 1 day, 15:15:16 time: 0.4179 data_time: 0.0025 loss: 1.2724 03/04 10:48:04 - mmengine - INFO - Epoch(train) [34][2700/5005] lr: 1.0000e-02 eta: 1 day, 15:14:33 time: 0.4189 data_time: 0.0025 loss: 1.2303 03/04 10:48:46 - mmengine - INFO - Epoch(train) [34][2800/5005] lr: 1.0000e-02 eta: 1 day, 15:13:51 time: 0.4203 data_time: 0.0025 loss: 1.2089 03/04 10:49:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:49:29 - mmengine - INFO - Epoch(train) [34][2900/5005] lr: 1.0000e-02 eta: 1 day, 15:13:08 time: 0.4290 data_time: 0.0024 loss: 1.1186 03/04 10:50:11 - mmengine - INFO - Epoch(train) [34][3000/5005] lr: 1.0000e-02 eta: 1 day, 15:12:25 time: 0.4228 data_time: 0.0024 loss: 1.3795 03/04 10:50:53 - mmengine - INFO - Epoch(train) [34][3100/5005] lr: 1.0000e-02 eta: 1 day, 15:11:43 time: 0.4175 data_time: 0.0026 loss: 1.0542 03/04 10:51:36 - mmengine - INFO - Epoch(train) [34][3200/5005] lr: 1.0000e-02 eta: 1 day, 15:11:00 time: 0.4222 data_time: 0.0024 loss: 1.1983 03/04 10:52:18 - mmengine - INFO - Epoch(train) [34][3300/5005] lr: 1.0000e-02 eta: 1 day, 15:10:17 time: 0.4247 data_time: 0.0025 loss: 1.2671 03/04 10:53:01 - mmengine - INFO - Epoch(train) [34][3400/5005] lr: 1.0000e-02 eta: 1 day, 15:09:35 time: 0.4205 data_time: 0.0024 loss: 1.1413 03/04 10:53:43 - mmengine - INFO - Epoch(train) [34][3500/5005] lr: 1.0000e-02 eta: 1 day, 15:08:52 time: 0.4243 data_time: 0.0025 loss: 1.4535 03/04 10:54:26 - mmengine - INFO - Epoch(train) [34][3600/5005] lr: 1.0000e-02 eta: 1 day, 15:08:10 time: 0.4202 data_time: 0.0027 loss: 1.2149 03/04 10:55:08 - mmengine - INFO - Epoch(train) [34][3700/5005] lr: 1.0000e-02 eta: 1 day, 15:07:27 time: 0.4220 data_time: 0.0025 loss: 1.1402 03/04 10:55:51 - mmengine - INFO - Epoch(train) [34][3800/5005] lr: 1.0000e-02 eta: 1 day, 15:06:45 time: 0.4222 data_time: 0.0024 loss: 1.4148 03/04 10:56:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 10:56:33 - mmengine - INFO - Epoch(train) [34][3900/5005] lr: 1.0000e-02 eta: 1 day, 15:06:01 time: 0.4209 data_time: 0.0024 loss: 1.3353 03/04 10:57:15 - mmengine - INFO - Epoch(train) [34][4000/5005] lr: 1.0000e-02 eta: 1 day, 15:05:18 time: 0.4189 data_time: 0.0024 loss: 1.2863 03/04 10:57:58 - mmengine - INFO - Epoch(train) [34][4100/5005] lr: 1.0000e-02 eta: 1 day, 15:04:36 time: 0.4220 data_time: 0.0026 loss: 1.1331 03/04 10:58:40 - mmengine - INFO - Epoch(train) [34][4200/5005] lr: 1.0000e-02 eta: 1 day, 15:03:53 time: 0.4248 data_time: 0.0024 loss: 1.2237 03/04 10:59:22 - mmengine - INFO - Epoch(train) [34][4300/5005] lr: 1.0000e-02 eta: 1 day, 15:03:10 time: 0.4223 data_time: 0.0024 loss: 1.2806 03/04 11:00:05 - mmengine - INFO - Epoch(train) [34][4400/5005] lr: 1.0000e-02 eta: 1 day, 15:02:27 time: 0.4178 data_time: 0.0025 loss: 1.0219 03/04 11:00:47 - mmengine - INFO - Epoch(train) [34][4500/5005] lr: 1.0000e-02 eta: 1 day, 15:01:44 time: 0.4185 data_time: 0.0024 loss: 1.2272 03/04 11:01:29 - mmengine - INFO - Epoch(train) [34][4600/5005] lr: 1.0000e-02 eta: 1 day, 15:01:01 time: 0.4207 data_time: 0.0025 loss: 1.1492 03/04 11:02:12 - mmengine - INFO - Epoch(train) [34][4700/5005] lr: 1.0000e-02 eta: 1 day, 15:00:18 time: 0.4176 data_time: 0.0024 loss: 1.2396 03/04 11:02:54 - mmengine - INFO - Epoch(train) [34][4800/5005] lr: 1.0000e-02 eta: 1 day, 14:59:36 time: 0.4266 data_time: 0.0025 loss: 1.1769 03/04 11:03:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:03:36 - mmengine - INFO - Epoch(train) [34][4900/5005] lr: 1.0000e-02 eta: 1 day, 14:58:53 time: 0.4270 data_time: 0.0024 loss: 1.1890 03/04 11:04:18 - mmengine - INFO - Epoch(train) [34][5000/5005] lr: 1.0000e-02 eta: 1 day, 14:58:09 time: 0.4203 data_time: 0.0023 loss: 1.1607 03/04 11:04:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:04:21 - mmengine - INFO - Saving checkpoint at 34 epochs 03/04 11:04:33 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:00:08 time: 0.0290 data_time: 0.0005 03/04 11:04:47 - mmengine - INFO - Epoch(val) [34][196/196] accuracy/top1: 74.9320 accuracy/top5: 92.5600 03/04 11:05:32 - mmengine - INFO - Epoch(train) [35][ 100/5005] lr: 1.0000e-02 eta: 1 day, 14:57:30 time: 0.4206 data_time: 0.0026 loss: 1.2763 03/04 11:06:14 - mmengine - INFO - Epoch(train) [35][ 200/5005] lr: 1.0000e-02 eta: 1 day, 14:56:47 time: 0.4206 data_time: 0.0026 loss: 1.2157 03/04 11:06:57 - mmengine - INFO - Epoch(train) [35][ 300/5005] lr: 1.0000e-02 eta: 1 day, 14:56:04 time: 0.4316 data_time: 0.0026 loss: 1.2437 03/04 11:07:39 - mmengine - INFO - Epoch(train) [35][ 400/5005] lr: 1.0000e-02 eta: 1 day, 14:55:21 time: 0.4188 data_time: 0.0025 loss: 1.2074 03/04 11:08:21 - mmengine - INFO - Epoch(train) [35][ 500/5005] lr: 1.0000e-02 eta: 1 day, 14:54:38 time: 0.4232 data_time: 0.0026 loss: 1.2295 03/04 11:09:03 - mmengine - INFO - Epoch(train) [35][ 600/5005] lr: 1.0000e-02 eta: 1 day, 14:53:56 time: 0.4207 data_time: 0.0024 loss: 1.3037 03/04 11:09:46 - mmengine - INFO - Epoch(train) [35][ 700/5005] lr: 1.0000e-02 eta: 1 day, 14:53:13 time: 0.4207 data_time: 0.0025 loss: 1.0788 03/04 11:10:28 - mmengine - INFO - Epoch(train) [35][ 800/5005] lr: 1.0000e-02 eta: 1 day, 14:52:30 time: 0.4282 data_time: 0.0026 loss: 1.2101 03/04 11:10:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:11:10 - mmengine - INFO - Epoch(train) [35][ 900/5005] lr: 1.0000e-02 eta: 1 day, 14:51:47 time: 0.4298 data_time: 0.0025 loss: 1.1881 03/04 11:11:53 - mmengine - INFO - Epoch(train) [35][1000/5005] lr: 1.0000e-02 eta: 1 day, 14:51:04 time: 0.4203 data_time: 0.0026 loss: 1.1871 03/04 11:12:35 - mmengine - INFO - Epoch(train) [35][1100/5005] lr: 1.0000e-02 eta: 1 day, 14:50:21 time: 0.4215 data_time: 0.0024 loss: 1.3217 03/04 11:13:17 - mmengine - INFO - Epoch(train) [35][1200/5005] lr: 1.0000e-02 eta: 1 day, 14:49:39 time: 0.4251 data_time: 0.0025 loss: 1.0479 03/04 11:14:00 - mmengine - INFO - Epoch(train) [35][1300/5005] lr: 1.0000e-02 eta: 1 day, 14:48:56 time: 0.4205 data_time: 0.0025 loss: 1.2716 03/04 11:14:42 - mmengine - INFO - Epoch(train) [35][1400/5005] lr: 1.0000e-02 eta: 1 day, 14:48:13 time: 0.4177 data_time: 0.0026 loss: 1.3615 03/04 11:15:24 - mmengine - INFO - Epoch(train) [35][1500/5005] lr: 1.0000e-02 eta: 1 day, 14:47:30 time: 0.4271 data_time: 0.0026 loss: 1.0085 03/04 11:16:07 - mmengine - INFO - Epoch(train) [35][1600/5005] lr: 1.0000e-02 eta: 1 day, 14:46:47 time: 0.4255 data_time: 0.0025 loss: 1.0658 03/04 11:16:49 - mmengine - INFO - Epoch(train) [35][1700/5005] lr: 1.0000e-02 eta: 1 day, 14:46:05 time: 0.4273 data_time: 0.0027 loss: 1.1990 03/04 11:17:32 - mmengine - INFO - Epoch(train) [35][1800/5005] lr: 1.0000e-02 eta: 1 day, 14:45:23 time: 0.4198 data_time: 0.0026 loss: 1.3886 03/04 11:17:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:18:15 - mmengine - INFO - Epoch(train) [35][1900/5005] lr: 1.0000e-02 eta: 1 day, 14:44:40 time: 0.4232 data_time: 0.0026 loss: 1.1783 03/04 11:18:57 - mmengine - INFO - Epoch(train) [35][2000/5005] lr: 1.0000e-02 eta: 1 day, 14:43:57 time: 0.4239 data_time: 0.0024 loss: 1.2738 03/04 11:19:39 - mmengine - INFO - Epoch(train) [35][2100/5005] lr: 1.0000e-02 eta: 1 day, 14:43:14 time: 0.4221 data_time: 0.0025 loss: 1.3901 03/04 11:20:21 - mmengine - INFO - Epoch(train) [35][2200/5005] lr: 1.0000e-02 eta: 1 day, 14:42:31 time: 0.4240 data_time: 0.0026 loss: 1.2296 03/04 11:21:04 - mmengine - INFO - Epoch(train) [35][2300/5005] lr: 1.0000e-02 eta: 1 day, 14:41:48 time: 0.4159 data_time: 0.0024 loss: 1.1013 03/04 11:21:46 - mmengine - INFO - Epoch(train) [35][2400/5005] lr: 1.0000e-02 eta: 1 day, 14:41:06 time: 0.4231 data_time: 0.0026 loss: 1.2155 03/04 11:22:28 - mmengine - INFO - Epoch(train) [35][2500/5005] lr: 1.0000e-02 eta: 1 day, 14:40:23 time: 0.4279 data_time: 0.0026 loss: 1.3917 03/04 11:23:11 - mmengine - INFO - Epoch(train) [35][2600/5005] lr: 1.0000e-02 eta: 1 day, 14:39:40 time: 0.4268 data_time: 0.0025 loss: 1.3162 03/04 11:23:53 - mmengine - INFO - Epoch(train) [35][2700/5005] lr: 1.0000e-02 eta: 1 day, 14:38:57 time: 0.4281 data_time: 0.0025 loss: 1.1884 03/04 11:24:36 - mmengine - INFO - Epoch(train) [35][2800/5005] lr: 1.0000e-02 eta: 1 day, 14:38:15 time: 0.4222 data_time: 0.0024 loss: 1.2187 03/04 11:24:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:25:18 - mmengine - INFO - Epoch(train) [35][2900/5005] lr: 1.0000e-02 eta: 1 day, 14:37:32 time: 0.4247 data_time: 0.0025 loss: 1.3277 03/04 11:26:00 - mmengine - INFO - Epoch(train) [35][3000/5005] lr: 1.0000e-02 eta: 1 day, 14:36:49 time: 0.4210 data_time: 0.0024 loss: 1.1634 03/04 11:26:42 - mmengine - INFO - Epoch(train) [35][3100/5005] lr: 1.0000e-02 eta: 1 day, 14:36:06 time: 0.4184 data_time: 0.0025 loss: 1.2666 03/04 11:27:25 - mmengine - INFO - Epoch(train) [35][3200/5005] lr: 1.0000e-02 eta: 1 day, 14:35:23 time: 0.4242 data_time: 0.0026 loss: 1.3457 03/04 11:28:07 - mmengine - INFO - Epoch(train) [35][3300/5005] lr: 1.0000e-02 eta: 1 day, 14:34:40 time: 0.4319 data_time: 0.0027 loss: 1.0086 03/04 11:28:50 - mmengine - INFO - Epoch(train) [35][3400/5005] lr: 1.0000e-02 eta: 1 day, 14:33:58 time: 0.4203 data_time: 0.0024 loss: 1.1877 03/04 11:29:32 - mmengine - INFO - Epoch(train) [35][3500/5005] lr: 1.0000e-02 eta: 1 day, 14:33:14 time: 0.4231 data_time: 0.0026 loss: 1.3856 03/04 11:30:14 - mmengine - INFO - Epoch(train) [35][3600/5005] lr: 1.0000e-02 eta: 1 day, 14:32:32 time: 0.4309 data_time: 0.0024 loss: 1.1813 03/04 11:30:56 - mmengine - INFO - Epoch(train) [35][3700/5005] lr: 1.0000e-02 eta: 1 day, 14:31:49 time: 0.4227 data_time: 0.0025 loss: 1.1929 03/04 11:31:39 - mmengine - INFO - Epoch(train) [35][3800/5005] lr: 1.0000e-02 eta: 1 day, 14:31:06 time: 0.4294 data_time: 0.0025 loss: 1.2826 03/04 11:31:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:32:21 - mmengine - INFO - Epoch(train) [35][3900/5005] lr: 1.0000e-02 eta: 1 day, 14:30:23 time: 0.4221 data_time: 0.0024 loss: 1.3262 03/04 11:33:03 - mmengine - INFO - Epoch(train) [35][4000/5005] lr: 1.0000e-02 eta: 1 day, 14:29:40 time: 0.4205 data_time: 0.0025 loss: 1.2504 03/04 11:33:46 - mmengine - INFO - Epoch(train) [35][4100/5005] lr: 1.0000e-02 eta: 1 day, 14:28:58 time: 0.4200 data_time: 0.0025 loss: 1.1945 03/04 11:34:28 - mmengine - INFO - Epoch(train) [35][4200/5005] lr: 1.0000e-02 eta: 1 day, 14:28:14 time: 0.4213 data_time: 0.0024 loss: 1.0131 03/04 11:35:10 - mmengine - INFO - Epoch(train) [35][4300/5005] lr: 1.0000e-02 eta: 1 day, 14:27:31 time: 0.4193 data_time: 0.0025 loss: 1.2694 03/04 11:35:52 - mmengine - INFO - Epoch(train) [35][4400/5005] lr: 1.0000e-02 eta: 1 day, 14:26:48 time: 0.4214 data_time: 0.0024 loss: 1.2573 03/04 11:36:35 - mmengine - INFO - Epoch(train) [35][4500/5005] lr: 1.0000e-02 eta: 1 day, 14:26:05 time: 0.4219 data_time: 0.0024 loss: 1.2153 03/04 11:37:17 - mmengine - INFO - Epoch(train) [35][4600/5005] lr: 1.0000e-02 eta: 1 day, 14:25:23 time: 0.4242 data_time: 0.0026 loss: 1.2261 03/04 11:37:59 - mmengine - INFO - Epoch(train) [35][4700/5005] lr: 1.0000e-02 eta: 1 day, 14:24:40 time: 0.4223 data_time: 0.0024 loss: 1.3083 03/04 11:38:42 - mmengine - INFO - Epoch(train) [35][4800/5005] lr: 1.0000e-02 eta: 1 day, 14:23:57 time: 0.4225 data_time: 0.0024 loss: 1.0619 03/04 11:38:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:39:24 - mmengine - INFO - Epoch(train) [35][4900/5005] lr: 1.0000e-02 eta: 1 day, 14:23:15 time: 0.4209 data_time: 0.0024 loss: 1.2205 03/04 11:40:06 - mmengine - INFO - Epoch(train) [35][5000/5005] lr: 1.0000e-02 eta: 1 day, 14:22:31 time: 0.4205 data_time: 0.0024 loss: 1.4146 03/04 11:40:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:40:09 - mmengine - INFO - Saving checkpoint at 35 epochs 03/04 11:40:20 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:00:08 time: 0.0320 data_time: 0.0006 03/04 11:40:34 - mmengine - INFO - Epoch(val) [35][196/196] accuracy/top1: 75.0180 accuracy/top5: 92.6700 03/04 11:41:20 - mmengine - INFO - Epoch(train) [36][ 100/5005] lr: 1.0000e-02 eta: 1 day, 14:21:53 time: 0.4140 data_time: 0.0027 loss: 1.0337 03/04 11:42:02 - mmengine - INFO - Epoch(train) [36][ 200/5005] lr: 1.0000e-02 eta: 1 day, 14:21:10 time: 0.4224 data_time: 0.0026 loss: 1.3018 03/04 11:42:45 - mmengine - INFO - Epoch(train) [36][ 300/5005] lr: 1.0000e-02 eta: 1 day, 14:20:28 time: 0.4225 data_time: 0.0026 loss: 1.1178 03/04 11:43:27 - mmengine - INFO - Epoch(train) [36][ 400/5005] lr: 1.0000e-02 eta: 1 day, 14:19:45 time: 0.4185 data_time: 0.0026 loss: 1.3918 03/04 11:44:10 - mmengine - INFO - Epoch(train) [36][ 500/5005] lr: 1.0000e-02 eta: 1 day, 14:19:03 time: 0.4181 data_time: 0.0026 loss: 0.9774 03/04 11:44:52 - mmengine - INFO - Epoch(train) [36][ 600/5005] lr: 1.0000e-02 eta: 1 day, 14:18:20 time: 0.4231 data_time: 0.0025 loss: 1.2181 03/04 11:45:34 - mmengine - INFO - Epoch(train) [36][ 700/5005] lr: 1.0000e-02 eta: 1 day, 14:17:37 time: 0.4238 data_time: 0.0025 loss: 1.2331 03/04 11:46:17 - mmengine - INFO - Epoch(train) [36][ 800/5005] lr: 1.0000e-02 eta: 1 day, 14:16:54 time: 0.4244 data_time: 0.0025 loss: 1.3187 03/04 11:46:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:46:59 - mmengine - INFO - Epoch(train) [36][ 900/5005] lr: 1.0000e-02 eta: 1 day, 14:16:11 time: 0.4185 data_time: 0.0025 loss: 1.1572 03/04 11:47:41 - mmengine - INFO - Epoch(train) [36][1000/5005] lr: 1.0000e-02 eta: 1 day, 14:15:29 time: 0.4192 data_time: 0.0025 loss: 1.2351 03/04 11:48:24 - mmengine - INFO - Epoch(train) [36][1100/5005] lr: 1.0000e-02 eta: 1 day, 14:14:46 time: 0.4278 data_time: 0.0025 loss: 1.0324 03/04 11:49:06 - mmengine - INFO - Epoch(train) [36][1200/5005] lr: 1.0000e-02 eta: 1 day, 14:14:03 time: 0.4257 data_time: 0.0028 loss: 1.2354 03/04 11:49:48 - mmengine - INFO - Epoch(train) [36][1300/5005] lr: 1.0000e-02 eta: 1 day, 14:13:20 time: 0.4159 data_time: 0.0026 loss: 1.3032 03/04 11:50:31 - mmengine - INFO - Epoch(train) [36][1400/5005] lr: 1.0000e-02 eta: 1 day, 14:12:37 time: 0.4216 data_time: 0.0024 loss: 1.4664 03/04 11:51:13 - mmengine - INFO - Epoch(train) [36][1500/5005] lr: 1.0000e-02 eta: 1 day, 14:11:55 time: 0.4200 data_time: 0.0025 loss: 1.2722 03/04 11:51:55 - mmengine - INFO - Epoch(train) [36][1600/5005] lr: 1.0000e-02 eta: 1 day, 14:11:12 time: 0.4221 data_time: 0.0025 loss: 1.2875 03/04 11:52:38 - mmengine - INFO - Epoch(train) [36][1700/5005] lr: 1.0000e-02 eta: 1 day, 14:10:29 time: 0.4223 data_time: 0.0028 loss: 1.1611 03/04 11:53:20 - mmengine - INFO - Epoch(train) [36][1800/5005] lr: 1.0000e-02 eta: 1 day, 14:09:46 time: 0.4232 data_time: 0.0026 loss: 1.1094 03/04 11:53:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 11:54:02 - mmengine - INFO - Epoch(train) [36][1900/5005] lr: 1.0000e-02 eta: 1 day, 14:09:03 time: 0.4176 data_time: 0.0025 loss: 1.2826 03/04 11:54:44 - mmengine - INFO - Epoch(train) [36][2000/5005] lr: 1.0000e-02 eta: 1 day, 14:08:20 time: 0.4209 data_time: 0.0024 loss: 1.2675 03/04 11:55:27 - mmengine - INFO - Epoch(train) [36][2100/5005] lr: 1.0000e-02 eta: 1 day, 14:07:37 time: 0.4238 data_time: 0.0026 loss: 1.2026 03/04 11:56:09 - mmengine - INFO - Epoch(train) [36][2200/5005] lr: 1.0000e-02 eta: 1 day, 14:06:54 time: 0.4242 data_time: 0.0026 loss: 1.2621 03/04 11:56:51 - mmengine - INFO - Epoch(train) [36][2300/5005] lr: 1.0000e-02 eta: 1 day, 14:06:11 time: 0.4216 data_time: 0.0025 loss: 1.3414 03/04 11:57:34 - mmengine - INFO - Epoch(train) [36][2400/5005] lr: 1.0000e-02 eta: 1 day, 14:05:29 time: 0.4237 data_time: 0.0026 loss: 1.0101 03/04 11:58:16 - mmengine - INFO - Epoch(train) [36][2500/5005] lr: 1.0000e-02 eta: 1 day, 14:04:46 time: 0.4286 data_time: 0.0027 loss: 1.1688 03/04 11:58:59 - mmengine - INFO - Epoch(train) [36][2600/5005] lr: 1.0000e-02 eta: 1 day, 14:04:03 time: 0.4209 data_time: 0.0025 loss: 1.0976 03/04 11:59:41 - mmengine - INFO - Epoch(train) [36][2700/5005] lr: 1.0000e-02 eta: 1 day, 14:03:20 time: 0.4253 data_time: 0.0024 loss: 1.3031 03/04 12:00:23 - mmengine - INFO - Epoch(train) [36][2800/5005] lr: 1.0000e-02 eta: 1 day, 14:02:37 time: 0.4246 data_time: 0.0025 loss: 1.2556 03/04 12:00:34 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:01:05 - mmengine - INFO - Epoch(train) [36][2900/5005] lr: 1.0000e-02 eta: 1 day, 14:01:55 time: 0.4214 data_time: 0.0025 loss: 1.1205 03/04 12:01:48 - mmengine - INFO - Epoch(train) [36][3000/5005] lr: 1.0000e-02 eta: 1 day, 14:01:12 time: 0.4223 data_time: 0.0026 loss: 1.2079 03/04 12:02:30 - mmengine - INFO - Epoch(train) [36][3100/5005] lr: 1.0000e-02 eta: 1 day, 14:00:29 time: 0.4197 data_time: 0.0026 loss: 1.0827 03/04 12:03:13 - mmengine - INFO - Epoch(train) [36][3200/5005] lr: 1.0000e-02 eta: 1 day, 13:59:46 time: 0.4224 data_time: 0.0025 loss: 1.1438 03/04 12:03:55 - mmengine - INFO - Epoch(train) [36][3300/5005] lr: 1.0000e-02 eta: 1 day, 13:59:04 time: 0.4348 data_time: 0.0027 loss: 1.2135 03/04 12:04:37 - mmengine - INFO - Epoch(train) [36][3400/5005] lr: 1.0000e-02 eta: 1 day, 13:58:21 time: 0.4233 data_time: 0.0026 loss: 1.1420 03/04 12:05:20 - mmengine - INFO - Epoch(train) [36][3500/5005] lr: 1.0000e-02 eta: 1 day, 13:57:38 time: 0.4191 data_time: 0.0025 loss: 1.1976 03/04 12:06:02 - mmengine - INFO - Epoch(train) [36][3600/5005] lr: 1.0000e-02 eta: 1 day, 13:56:55 time: 0.4255 data_time: 0.0025 loss: 1.2735 03/04 12:06:44 - mmengine - INFO - Epoch(train) [36][3700/5005] lr: 1.0000e-02 eta: 1 day, 13:56:12 time: 0.4197 data_time: 0.0026 loss: 1.0220 03/04 12:07:27 - mmengine - INFO - Epoch(train) [36][3800/5005] lr: 1.0000e-02 eta: 1 day, 13:55:30 time: 0.4221 data_time: 0.0025 loss: 1.1733 03/04 12:07:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:08:09 - mmengine - INFO - Epoch(train) [36][3900/5005] lr: 1.0000e-02 eta: 1 day, 13:54:47 time: 0.4241 data_time: 0.0025 loss: 1.1129 03/04 12:08:51 - mmengine - INFO - Epoch(train) [36][4000/5005] lr: 1.0000e-02 eta: 1 day, 13:54:04 time: 0.4180 data_time: 0.0026 loss: 1.2026 03/04 12:09:33 - mmengine - INFO - Epoch(train) [36][4100/5005] lr: 1.0000e-02 eta: 1 day, 13:53:20 time: 0.4208 data_time: 0.0026 loss: 1.1124 03/04 12:10:16 - mmengine - INFO - Epoch(train) [36][4200/5005] lr: 1.0000e-02 eta: 1 day, 13:52:38 time: 0.4204 data_time: 0.0026 loss: 1.0204 03/04 12:10:58 - mmengine - INFO - Epoch(train) [36][4300/5005] lr: 1.0000e-02 eta: 1 day, 13:51:55 time: 0.4246 data_time: 0.0026 loss: 1.1751 03/04 12:11:40 - mmengine - INFO - Epoch(train) [36][4400/5005] lr: 1.0000e-02 eta: 1 day, 13:51:12 time: 0.4188 data_time: 0.0025 loss: 1.0141 03/04 12:12:23 - mmengine - INFO - Epoch(train) [36][4500/5005] lr: 1.0000e-02 eta: 1 day, 13:50:29 time: 0.4196 data_time: 0.0024 loss: 1.3407 03/04 12:13:05 - mmengine - INFO - Epoch(train) [36][4600/5005] lr: 1.0000e-02 eta: 1 day, 13:49:47 time: 0.4191 data_time: 0.0028 loss: 1.2559 03/04 12:13:47 - mmengine - INFO - Epoch(train) [36][4700/5005] lr: 1.0000e-02 eta: 1 day, 13:49:04 time: 0.4224 data_time: 0.0025 loss: 1.1026 03/04 12:14:29 - mmengine - INFO - Epoch(train) [36][4800/5005] lr: 1.0000e-02 eta: 1 day, 13:48:20 time: 0.4201 data_time: 0.0025 loss: 1.1504 03/04 12:14:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:15:12 - mmengine - INFO - Epoch(train) [36][4900/5005] lr: 1.0000e-02 eta: 1 day, 13:47:38 time: 0.4228 data_time: 0.0024 loss: 1.2469 03/04 12:15:54 - mmengine - INFO - Epoch(train) [36][5000/5005] lr: 1.0000e-02 eta: 1 day, 13:46:55 time: 0.4191 data_time: 0.0023 loss: 1.0991 03/04 12:15:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:15:57 - mmengine - INFO - Saving checkpoint at 36 epochs 03/04 12:16:09 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:00:09 time: 0.0273 data_time: 0.0005 03/04 12:16:22 - mmengine - INFO - Epoch(val) [36][196/196] accuracy/top1: 75.0460 accuracy/top5: 92.6740 03/04 12:17:08 - mmengine - INFO - Epoch(train) [37][ 100/5005] lr: 1.0000e-02 eta: 1 day, 13:46:16 time: 0.4213 data_time: 0.0026 loss: 1.2014 03/04 12:17:51 - mmengine - INFO - Epoch(train) [37][ 200/5005] lr: 1.0000e-02 eta: 1 day, 13:45:34 time: 0.4232 data_time: 0.0025 loss: 1.2970 03/04 12:18:33 - mmengine - INFO - Epoch(train) [37][ 300/5005] lr: 1.0000e-02 eta: 1 day, 13:44:51 time: 0.4254 data_time: 0.0025 loss: 1.3315 03/04 12:19:16 - mmengine - INFO - Epoch(train) [37][ 400/5005] lr: 1.0000e-02 eta: 1 day, 13:44:08 time: 0.4219 data_time: 0.0025 loss: 1.1769 03/04 12:19:58 - mmengine - INFO - Epoch(train) [37][ 500/5005] lr: 1.0000e-02 eta: 1 day, 13:43:26 time: 0.4247 data_time: 0.0026 loss: 1.0352 03/04 12:20:41 - mmengine - INFO - Epoch(train) [37][ 600/5005] lr: 1.0000e-02 eta: 1 day, 13:42:44 time: 0.4201 data_time: 0.0024 loss: 1.1744 03/04 12:21:23 - mmengine - INFO - Epoch(train) [37][ 700/5005] lr: 1.0000e-02 eta: 1 day, 13:42:01 time: 0.4271 data_time: 0.0025 loss: 1.0102 03/04 12:22:06 - mmengine - INFO - Epoch(train) [37][ 800/5005] lr: 1.0000e-02 eta: 1 day, 13:41:19 time: 0.4257 data_time: 0.0025 loss: 1.0121 03/04 12:22:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:22:48 - mmengine - INFO - Epoch(train) [37][ 900/5005] lr: 1.0000e-02 eta: 1 day, 13:40:36 time: 0.4212 data_time: 0.0026 loss: 1.0812 03/04 12:23:31 - mmengine - INFO - Epoch(train) [37][1000/5005] lr: 1.0000e-02 eta: 1 day, 13:39:53 time: 0.4259 data_time: 0.0024 loss: 1.2145 03/04 12:24:13 - mmengine - INFO - Epoch(train) [37][1100/5005] lr: 1.0000e-02 eta: 1 day, 13:39:11 time: 0.4309 data_time: 0.0026 loss: 1.1141 03/04 12:24:56 - mmengine - INFO - Epoch(train) [37][1200/5005] lr: 1.0000e-02 eta: 1 day, 13:38:28 time: 0.4245 data_time: 0.0027 loss: 1.2646 03/04 12:25:38 - mmengine - INFO - Epoch(train) [37][1300/5005] lr: 1.0000e-02 eta: 1 day, 13:37:46 time: 0.4198 data_time: 0.0025 loss: 1.2642 03/04 12:26:21 - mmengine - INFO - Epoch(train) [37][1400/5005] lr: 1.0000e-02 eta: 1 day, 13:37:03 time: 0.4204 data_time: 0.0025 loss: 1.2154 03/04 12:27:03 - mmengine - INFO - Epoch(train) [37][1500/5005] lr: 1.0000e-02 eta: 1 day, 13:36:21 time: 0.4271 data_time: 0.0025 loss: 1.1721 03/04 12:27:46 - mmengine - INFO - Epoch(train) [37][1600/5005] lr: 1.0000e-02 eta: 1 day, 13:35:38 time: 0.4263 data_time: 0.0026 loss: 1.2417 03/04 12:28:28 - mmengine - INFO - Epoch(train) [37][1700/5005] lr: 1.0000e-02 eta: 1 day, 13:34:56 time: 0.4334 data_time: 0.0025 loss: 1.1821 03/04 12:29:11 - mmengine - INFO - Epoch(train) [37][1800/5005] lr: 1.0000e-02 eta: 1 day, 13:34:13 time: 0.4256 data_time: 0.0026 loss: 1.2855 03/04 12:29:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:29:53 - mmengine - INFO - Epoch(train) [37][1900/5005] lr: 1.0000e-02 eta: 1 day, 13:33:31 time: 0.4232 data_time: 0.0027 loss: 1.2070 03/04 12:30:36 - mmengine - INFO - Epoch(train) [37][2000/5005] lr: 1.0000e-02 eta: 1 day, 13:32:48 time: 0.4262 data_time: 0.0025 loss: 1.0313 03/04 12:31:18 - mmengine - INFO - Epoch(train) [37][2100/5005] lr: 1.0000e-02 eta: 1 day, 13:32:06 time: 0.4257 data_time: 0.0025 loss: 1.3337 03/04 12:32:01 - mmengine - INFO - Epoch(train) [37][2200/5005] lr: 1.0000e-02 eta: 1 day, 13:31:23 time: 0.4246 data_time: 0.0026 loss: 1.1554 03/04 12:32:43 - mmengine - INFO - Epoch(train) [37][2300/5005] lr: 1.0000e-02 eta: 1 day, 13:30:40 time: 0.4265 data_time: 0.0028 loss: 1.2636 03/04 12:33:25 - mmengine - INFO - Epoch(train) [37][2400/5005] lr: 1.0000e-02 eta: 1 day, 13:29:58 time: 0.4188 data_time: 0.0025 loss: 0.9680 03/04 12:34:08 - mmengine - INFO - Epoch(train) [37][2500/5005] lr: 1.0000e-02 eta: 1 day, 13:29:15 time: 0.4232 data_time: 0.0025 loss: 1.3254 03/04 12:34:50 - mmengine - INFO - Epoch(train) [37][2600/5005] lr: 1.0000e-02 eta: 1 day, 13:28:32 time: 0.4255 data_time: 0.0025 loss: 1.1944 03/04 12:35:33 - mmengine - INFO - Epoch(train) [37][2700/5005] lr: 1.0000e-02 eta: 1 day, 13:27:50 time: 0.4212 data_time: 0.0024 loss: 1.2053 03/04 12:36:15 - mmengine - INFO - Epoch(train) [37][2800/5005] lr: 1.0000e-02 eta: 1 day, 13:27:07 time: 0.4221 data_time: 0.0024 loss: 1.3023 03/04 12:36:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:36:58 - mmengine - INFO - Epoch(train) [37][2900/5005] lr: 1.0000e-02 eta: 1 day, 13:26:24 time: 0.4284 data_time: 0.0025 loss: 1.2947 03/04 12:37:40 - mmengine - INFO - Epoch(train) [37][3000/5005] lr: 1.0000e-02 eta: 1 day, 13:25:42 time: 0.4272 data_time: 0.0025 loss: 1.2978 03/04 12:38:22 - mmengine - INFO - Epoch(train) [37][3100/5005] lr: 1.0000e-02 eta: 1 day, 13:24:59 time: 0.4218 data_time: 0.0026 loss: 1.0703 03/04 12:39:05 - mmengine - INFO - Epoch(train) [37][3200/5005] lr: 1.0000e-02 eta: 1 day, 13:24:16 time: 0.4199 data_time: 0.0026 loss: 1.1943 03/04 12:39:47 - mmengine - INFO - Epoch(train) [37][3300/5005] lr: 1.0000e-02 eta: 1 day, 13:23:34 time: 0.4227 data_time: 0.0024 loss: 1.3699 03/04 12:40:30 - mmengine - INFO - Epoch(train) [37][3400/5005] lr: 1.0000e-02 eta: 1 day, 13:22:51 time: 0.4211 data_time: 0.0026 loss: 1.0221 03/04 12:41:12 - mmengine - INFO - Epoch(train) [37][3500/5005] lr: 1.0000e-02 eta: 1 day, 13:22:09 time: 0.4229 data_time: 0.0025 loss: 1.3487 03/04 12:41:55 - mmengine - INFO - Epoch(train) [37][3600/5005] lr: 1.0000e-02 eta: 1 day, 13:21:26 time: 0.4264 data_time: 0.0025 loss: 1.1276 03/04 12:42:37 - mmengine - INFO - Epoch(train) [37][3700/5005] lr: 1.0000e-02 eta: 1 day, 13:20:43 time: 0.4233 data_time: 0.0025 loss: 1.0790 03/04 12:43:19 - mmengine - INFO - Epoch(train) [37][3800/5005] lr: 1.0000e-02 eta: 1 day, 13:20:00 time: 0.4178 data_time: 0.0026 loss: 1.2570 03/04 12:43:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:44:02 - mmengine - INFO - Epoch(train) [37][3900/5005] lr: 1.0000e-02 eta: 1 day, 13:19:18 time: 0.4221 data_time: 0.0025 loss: 1.0465 03/04 12:44:44 - mmengine - INFO - Epoch(train) [37][4000/5005] lr: 1.0000e-02 eta: 1 day, 13:18:35 time: 0.4208 data_time: 0.0025 loss: 1.2109 03/04 12:45:26 - mmengine - INFO - Epoch(train) [37][4100/5005] lr: 1.0000e-02 eta: 1 day, 13:17:52 time: 0.4179 data_time: 0.0026 loss: 1.1557 03/04 12:46:09 - mmengine - INFO - Epoch(train) [37][4200/5005] lr: 1.0000e-02 eta: 1 day, 13:17:10 time: 0.4227 data_time: 0.0025 loss: 1.3379 03/04 12:46:51 - mmengine - INFO - Epoch(train) [37][4300/5005] lr: 1.0000e-02 eta: 1 day, 13:16:27 time: 0.4240 data_time: 0.0026 loss: 1.2059 03/04 12:47:34 - mmengine - INFO - Epoch(train) [37][4400/5005] lr: 1.0000e-02 eta: 1 day, 13:15:45 time: 0.4235 data_time: 0.0025 loss: 1.3171 03/04 12:48:16 - mmengine - INFO - Epoch(train) [37][4500/5005] lr: 1.0000e-02 eta: 1 day, 13:15:02 time: 0.4221 data_time: 0.0025 loss: 1.3219 03/04 12:48:58 - mmengine - INFO - Epoch(train) [37][4600/5005] lr: 1.0000e-02 eta: 1 day, 13:14:19 time: 0.4184 data_time: 0.0026 loss: 1.0830 03/04 12:49:41 - mmengine - INFO - Epoch(train) [37][4700/5005] lr: 1.0000e-02 eta: 1 day, 13:13:36 time: 0.4272 data_time: 0.0026 loss: 1.2307 03/04 12:50:23 - mmengine - INFO - Epoch(train) [37][4800/5005] lr: 1.0000e-02 eta: 1 day, 13:12:53 time: 0.4228 data_time: 0.0026 loss: 1.2004 03/04 12:50:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:51:05 - mmengine - INFO - Epoch(train) [37][4900/5005] lr: 1.0000e-02 eta: 1 day, 13:12:10 time: 0.4217 data_time: 0.0027 loss: 1.3974 03/04 12:51:47 - mmengine - INFO - Epoch(train) [37][5000/5005] lr: 1.0000e-02 eta: 1 day, 13:11:27 time: 0.4189 data_time: 0.0024 loss: 1.3481 03/04 12:51:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:51:50 - mmengine - INFO - Saving checkpoint at 37 epochs 03/04 12:52:02 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:00:08 time: 0.0292 data_time: 0.0005 03/04 12:52:16 - mmengine - INFO - Epoch(val) [37][196/196] accuracy/top1: 75.0140 accuracy/top5: 92.7100 03/04 12:53:02 - mmengine - INFO - Epoch(train) [38][ 100/5005] lr: 1.0000e-02 eta: 1 day, 13:10:47 time: 0.4223 data_time: 0.0026 loss: 1.0509 03/04 12:53:44 - mmengine - INFO - Epoch(train) [38][ 200/5005] lr: 1.0000e-02 eta: 1 day, 13:10:05 time: 0.4259 data_time: 0.0028 loss: 1.0935 03/04 12:54:27 - mmengine - INFO - Epoch(train) [38][ 300/5005] lr: 1.0000e-02 eta: 1 day, 13:09:22 time: 0.4376 data_time: 0.0026 loss: 1.1768 03/04 12:55:09 - mmengine - INFO - Epoch(train) [38][ 400/5005] lr: 1.0000e-02 eta: 1 day, 13:08:40 time: 0.4213 data_time: 0.0025 loss: 1.1640 03/04 12:55:52 - mmengine - INFO - Epoch(train) [38][ 500/5005] lr: 1.0000e-02 eta: 1 day, 13:07:57 time: 0.4239 data_time: 0.0025 loss: 1.1536 03/04 12:56:34 - mmengine - INFO - Epoch(train) [38][ 600/5005] lr: 1.0000e-02 eta: 1 day, 13:07:15 time: 0.4204 data_time: 0.0025 loss: 1.1640 03/04 12:57:16 - mmengine - INFO - Epoch(train) [38][ 700/5005] lr: 1.0000e-02 eta: 1 day, 13:06:32 time: 0.4274 data_time: 0.0025 loss: 1.1899 03/04 12:57:59 - mmengine - INFO - Epoch(train) [38][ 800/5005] lr: 1.0000e-02 eta: 1 day, 13:05:49 time: 0.4213 data_time: 0.0026 loss: 1.0521 03/04 12:58:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 12:58:41 - mmengine - INFO - Epoch(train) [38][ 900/5005] lr: 1.0000e-02 eta: 1 day, 13:05:06 time: 0.4236 data_time: 0.0025 loss: 1.1320 03/04 12:59:23 - mmengine - INFO - Epoch(train) [38][1000/5005] lr: 1.0000e-02 eta: 1 day, 13:04:23 time: 0.4220 data_time: 0.0026 loss: 1.1368 03/04 13:00:06 - mmengine - INFO - Epoch(train) [38][1100/5005] lr: 1.0000e-02 eta: 1 day, 13:03:41 time: 0.4207 data_time: 0.0026 loss: 1.0877 03/04 13:00:48 - mmengine - INFO - Epoch(train) [38][1200/5005] lr: 1.0000e-02 eta: 1 day, 13:02:58 time: 0.4234 data_time: 0.0026 loss: 1.1423 03/04 13:01:30 - mmengine - INFO - Epoch(train) [38][1300/5005] lr: 1.0000e-02 eta: 1 day, 13:02:15 time: 0.4197 data_time: 0.0025 loss: 1.1457 03/04 13:02:12 - mmengine - INFO - Epoch(train) [38][1400/5005] lr: 1.0000e-02 eta: 1 day, 13:01:32 time: 0.4222 data_time: 0.0027 loss: 1.2437 03/04 13:02:55 - mmengine - INFO - Epoch(train) [38][1500/5005] lr: 1.0000e-02 eta: 1 day, 13:00:49 time: 0.4194 data_time: 0.0026 loss: 1.2099 03/04 13:03:37 - mmengine - INFO - Epoch(train) [38][1600/5005] lr: 1.0000e-02 eta: 1 day, 13:00:07 time: 0.4206 data_time: 0.0026 loss: 1.0473 03/04 13:04:20 - mmengine - INFO - Epoch(train) [38][1700/5005] lr: 1.0000e-02 eta: 1 day, 12:59:24 time: 0.4215 data_time: 0.0025 loss: 1.1481 03/04 13:05:02 - mmengine - INFO - Epoch(train) [38][1800/5005] lr: 1.0000e-02 eta: 1 day, 12:58:41 time: 0.4239 data_time: 0.0025 loss: 1.1433 03/04 13:05:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:05:44 - mmengine - INFO - Epoch(train) [38][1900/5005] lr: 1.0000e-02 eta: 1 day, 12:57:58 time: 0.4217 data_time: 0.0025 loss: 1.2490 03/04 13:06:26 - mmengine - INFO - Epoch(train) [38][2000/5005] lr: 1.0000e-02 eta: 1 day, 12:57:15 time: 0.4193 data_time: 0.0026 loss: 0.9422 03/04 13:07:08 - mmengine - INFO - Epoch(train) [38][2100/5005] lr: 1.0000e-02 eta: 1 day, 12:56:32 time: 0.4201 data_time: 0.0027 loss: 1.2043 03/04 13:07:51 - mmengine - INFO - Epoch(train) [38][2200/5005] lr: 1.0000e-02 eta: 1 day, 12:55:49 time: 0.4204 data_time: 0.0026 loss: 1.2632 03/04 13:08:33 - mmengine - INFO - Epoch(train) [38][2300/5005] lr: 1.0000e-02 eta: 1 day, 12:55:07 time: 0.4320 data_time: 0.0026 loss: 1.3043 03/04 13:09:16 - mmengine - INFO - Epoch(train) [38][2400/5005] lr: 1.0000e-02 eta: 1 day, 12:54:24 time: 0.4193 data_time: 0.0025 loss: 1.2107 03/04 13:09:58 - mmengine - INFO - Epoch(train) [38][2500/5005] lr: 1.0000e-02 eta: 1 day, 12:53:41 time: 0.4189 data_time: 0.0026 loss: 1.1528 03/04 13:10:41 - mmengine - INFO - Epoch(train) [38][2600/5005] lr: 1.0000e-02 eta: 1 day, 12:52:59 time: 0.4245 data_time: 0.0026 loss: 1.1934 03/04 13:11:23 - mmengine - INFO - Epoch(train) [38][2700/5005] lr: 1.0000e-02 eta: 1 day, 12:52:16 time: 0.4238 data_time: 0.0027 loss: 0.9810 03/04 13:12:06 - mmengine - INFO - Epoch(train) [38][2800/5005] lr: 1.0000e-02 eta: 1 day, 12:51:34 time: 0.4196 data_time: 0.0027 loss: 1.2701 03/04 13:12:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:12:48 - mmengine - INFO - Epoch(train) [38][2900/5005] lr: 1.0000e-02 eta: 1 day, 12:50:51 time: 0.4188 data_time: 0.0026 loss: 1.0947 03/04 13:13:30 - mmengine - INFO - Epoch(train) [38][3000/5005] lr: 1.0000e-02 eta: 1 day, 12:50:08 time: 0.4178 data_time: 0.0026 loss: 1.4355 03/04 13:14:13 - mmengine - INFO - Epoch(train) [38][3100/5005] lr: 1.0000e-02 eta: 1 day, 12:49:26 time: 0.4288 data_time: 0.0025 loss: 1.1242 03/04 13:14:55 - mmengine - INFO - Epoch(train) [38][3200/5005] lr: 1.0000e-02 eta: 1 day, 12:48:43 time: 0.4237 data_time: 0.0026 loss: 1.0874 03/04 13:15:37 - mmengine - INFO - Epoch(train) [38][3300/5005] lr: 1.0000e-02 eta: 1 day, 12:48:00 time: 0.4201 data_time: 0.0025 loss: 1.2366 03/04 13:16:20 - mmengine - INFO - Epoch(train) [38][3400/5005] lr: 1.0000e-02 eta: 1 day, 12:47:17 time: 0.4177 data_time: 0.0025 loss: 1.0855 03/04 13:17:02 - mmengine - INFO - Epoch(train) [38][3500/5005] lr: 1.0000e-02 eta: 1 day, 12:46:35 time: 0.4325 data_time: 0.0025 loss: 1.0778 03/04 13:17:45 - mmengine - INFO - Epoch(train) [38][3600/5005] lr: 1.0000e-02 eta: 1 day, 12:45:52 time: 0.4250 data_time: 0.0024 loss: 1.2434 03/04 13:18:27 - mmengine - INFO - Epoch(train) [38][3700/5005] lr: 1.0000e-02 eta: 1 day, 12:45:10 time: 0.4245 data_time: 0.0025 loss: 1.4525 03/04 13:19:10 - mmengine - INFO - Epoch(train) [38][3800/5005] lr: 1.0000e-02 eta: 1 day, 12:44:27 time: 0.4226 data_time: 0.0026 loss: 1.1949 03/04 13:19:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:19:52 - mmengine - INFO - Epoch(train) [38][3900/5005] lr: 1.0000e-02 eta: 1 day, 12:43:44 time: 0.4213 data_time: 0.0026 loss: 1.3212 03/04 13:20:34 - mmengine - INFO - Epoch(train) [38][4000/5005] lr: 1.0000e-02 eta: 1 day, 12:43:02 time: 0.4247 data_time: 0.0025 loss: 1.2588 03/04 13:21:17 - mmengine - INFO - Epoch(train) [38][4100/5005] lr: 1.0000e-02 eta: 1 day, 12:42:19 time: 0.4263 data_time: 0.0026 loss: 1.2795 03/04 13:21:59 - mmengine - INFO - Epoch(train) [38][4200/5005] lr: 1.0000e-02 eta: 1 day, 12:41:37 time: 0.4207 data_time: 0.0025 loss: 1.1614 03/04 13:22:42 - mmengine - INFO - Epoch(train) [38][4300/5005] lr: 1.0000e-02 eta: 1 day, 12:40:54 time: 0.4200 data_time: 0.0027 loss: 1.2893 03/04 13:23:24 - mmengine - INFO - Epoch(train) [38][4400/5005] lr: 1.0000e-02 eta: 1 day, 12:40:11 time: 0.4196 data_time: 0.0027 loss: 1.1244 03/04 13:24:06 - mmengine - INFO - Epoch(train) [38][4500/5005] lr: 1.0000e-02 eta: 1 day, 12:39:28 time: 0.4211 data_time: 0.0026 loss: 1.2922 03/04 13:24:49 - mmengine - INFO - Epoch(train) [38][4600/5005] lr: 1.0000e-02 eta: 1 day, 12:38:45 time: 0.4247 data_time: 0.0024 loss: 1.2582 03/04 13:25:31 - mmengine - INFO - Epoch(train) [38][4700/5005] lr: 1.0000e-02 eta: 1 day, 12:38:03 time: 0.4154 data_time: 0.0026 loss: 1.1723 03/04 13:26:14 - mmengine - INFO - Epoch(train) [38][4800/5005] lr: 1.0000e-02 eta: 1 day, 12:37:21 time: 0.4333 data_time: 0.0026 loss: 1.2019 03/04 13:26:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:26:56 - mmengine - INFO - Epoch(train) [38][4900/5005] lr: 1.0000e-02 eta: 1 day, 12:36:39 time: 0.4272 data_time: 0.0026 loss: 1.1806 03/04 13:27:39 - mmengine - INFO - Epoch(train) [38][5000/5005] lr: 1.0000e-02 eta: 1 day, 12:35:56 time: 0.4200 data_time: 0.0023 loss: 1.2871 03/04 13:27:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:27:41 - mmengine - INFO - Saving checkpoint at 38 epochs 03/04 13:27:53 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:00:09 time: 0.0272 data_time: 0.0005 03/04 13:28:07 - mmengine - INFO - Epoch(val) [38][196/196] accuracy/top1: 75.2200 accuracy/top5: 92.6960 03/04 13:28:53 - mmengine - INFO - Epoch(train) [39][ 100/5005] lr: 1.0000e-02 eta: 1 day, 12:35:16 time: 0.4229 data_time: 0.0026 loss: 1.0724 03/04 13:29:35 - mmengine - INFO - Epoch(train) [39][ 200/5005] lr: 1.0000e-02 eta: 1 day, 12:34:33 time: 0.4222 data_time: 0.0027 loss: 1.2343 03/04 13:30:18 - mmengine - INFO - Epoch(train) [39][ 300/5005] lr: 1.0000e-02 eta: 1 day, 12:33:51 time: 0.4245 data_time: 0.0026 loss: 1.1022 03/04 13:31:00 - mmengine - INFO - Epoch(train) [39][ 400/5005] lr: 1.0000e-02 eta: 1 day, 12:33:08 time: 0.4248 data_time: 0.0027 loss: 1.1633 03/04 13:31:42 - mmengine - INFO - Epoch(train) [39][ 500/5005] lr: 1.0000e-02 eta: 1 day, 12:32:25 time: 0.4256 data_time: 0.0025 loss: 1.2461 03/04 13:32:25 - mmengine - INFO - Epoch(train) [39][ 600/5005] lr: 1.0000e-02 eta: 1 day, 12:31:43 time: 0.4257 data_time: 0.0027 loss: 1.1049 03/04 13:33:07 - mmengine - INFO - Epoch(train) [39][ 700/5005] lr: 1.0000e-02 eta: 1 day, 12:31:00 time: 0.4185 data_time: 0.0026 loss: 1.0909 03/04 13:33:50 - mmengine - INFO - Epoch(train) [39][ 800/5005] lr: 1.0000e-02 eta: 1 day, 12:30:17 time: 0.4237 data_time: 0.0027 loss: 1.2109 03/04 13:33:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:34:32 - mmengine - INFO - Epoch(train) [39][ 900/5005] lr: 1.0000e-02 eta: 1 day, 12:29:35 time: 0.4200 data_time: 0.0025 loss: 1.1334 03/04 13:35:14 - mmengine - INFO - Epoch(train) [39][1000/5005] lr: 1.0000e-02 eta: 1 day, 12:28:52 time: 0.4240 data_time: 0.0025 loss: 1.5097 03/04 13:35:57 - mmengine - INFO - Epoch(train) [39][1100/5005] lr: 1.0000e-02 eta: 1 day, 12:28:09 time: 0.4290 data_time: 0.0025 loss: 1.0958 03/04 13:36:39 - mmengine - INFO - Epoch(train) [39][1200/5005] lr: 1.0000e-02 eta: 1 day, 12:27:27 time: 0.4202 data_time: 0.0025 loss: 1.3203 03/04 13:37:22 - mmengine - INFO - Epoch(train) [39][1300/5005] lr: 1.0000e-02 eta: 1 day, 12:26:44 time: 0.4329 data_time: 0.0026 loss: 1.3102 03/04 13:38:04 - mmengine - INFO - Epoch(train) [39][1400/5005] lr: 1.0000e-02 eta: 1 day, 12:26:01 time: 0.4219 data_time: 0.0027 loss: 1.3338 03/04 13:38:46 - mmengine - INFO - Epoch(train) [39][1500/5005] lr: 1.0000e-02 eta: 1 day, 12:25:19 time: 0.4227 data_time: 0.0025 loss: 1.1005 03/04 13:39:29 - mmengine - INFO - Epoch(train) [39][1600/5005] lr: 1.0000e-02 eta: 1 day, 12:24:36 time: 0.4264 data_time: 0.0026 loss: 1.2740 03/04 13:40:11 - mmengine - INFO - Epoch(train) [39][1700/5005] lr: 1.0000e-02 eta: 1 day, 12:23:53 time: 0.4234 data_time: 0.0028 loss: 1.1035 03/04 13:40:54 - mmengine - INFO - Epoch(train) [39][1800/5005] lr: 1.0000e-02 eta: 1 day, 12:23:11 time: 0.4228 data_time: 0.0026 loss: 1.2527 03/04 13:40:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:41:36 - mmengine - INFO - Epoch(train) [39][1900/5005] lr: 1.0000e-02 eta: 1 day, 12:22:28 time: 0.4227 data_time: 0.0024 loss: 1.0734 03/04 13:42:18 - mmengine - INFO - Epoch(train) [39][2000/5005] lr: 1.0000e-02 eta: 1 day, 12:21:46 time: 0.4276 data_time: 0.0025 loss: 1.1642 03/04 13:43:01 - mmengine - INFO - Epoch(train) [39][2100/5005] lr: 1.0000e-02 eta: 1 day, 12:21:03 time: 0.4207 data_time: 0.0026 loss: 1.1460 03/04 13:43:43 - mmengine - INFO - Epoch(train) [39][2200/5005] lr: 1.0000e-02 eta: 1 day, 12:20:20 time: 0.4219 data_time: 0.0025 loss: 1.1566 03/04 13:44:25 - mmengine - INFO - Epoch(train) [39][2300/5005] lr: 1.0000e-02 eta: 1 day, 12:19:37 time: 0.4212 data_time: 0.0025 loss: 1.0132 03/04 13:45:08 - mmengine - INFO - Epoch(train) [39][2400/5005] lr: 1.0000e-02 eta: 1 day, 12:18:55 time: 0.4208 data_time: 0.0026 loss: 1.0761 03/04 13:45:50 - mmengine - INFO - Epoch(train) [39][2500/5005] lr: 1.0000e-02 eta: 1 day, 12:18:12 time: 0.4211 data_time: 0.0027 loss: 1.1529 03/04 13:46:33 - mmengine - INFO - Epoch(train) [39][2600/5005] lr: 1.0000e-02 eta: 1 day, 12:17:29 time: 0.4305 data_time: 0.0025 loss: 1.2267 03/04 13:47:15 - mmengine - INFO - Epoch(train) [39][2700/5005] lr: 1.0000e-02 eta: 1 day, 12:16:47 time: 0.4253 data_time: 0.0027 loss: 1.1879 03/04 13:47:57 - mmengine - INFO - Epoch(train) [39][2800/5005] lr: 1.0000e-02 eta: 1 day, 12:16:04 time: 0.4235 data_time: 0.0028 loss: 1.1127 03/04 13:48:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:48:40 - mmengine - INFO - Epoch(train) [39][2900/5005] lr: 1.0000e-02 eta: 1 day, 12:15:21 time: 0.4219 data_time: 0.0026 loss: 1.2099 03/04 13:49:22 - mmengine - INFO - Epoch(train) [39][3000/5005] lr: 1.0000e-02 eta: 1 day, 12:14:39 time: 0.4202 data_time: 0.0026 loss: 1.1659 03/04 13:50:05 - mmengine - INFO - Epoch(train) [39][3100/5005] lr: 1.0000e-02 eta: 1 day, 12:13:56 time: 0.4197 data_time: 0.0025 loss: 1.1003 03/04 13:50:47 - mmengine - INFO - Epoch(train) [39][3200/5005] lr: 1.0000e-02 eta: 1 day, 12:13:13 time: 0.4267 data_time: 0.0025 loss: 1.0420 03/04 13:51:29 - mmengine - INFO - Epoch(train) [39][3300/5005] lr: 1.0000e-02 eta: 1 day, 12:12:30 time: 0.4251 data_time: 0.0026 loss: 1.3273 03/04 13:52:11 - mmengine - INFO - Epoch(train) [39][3400/5005] lr: 1.0000e-02 eta: 1 day, 12:11:47 time: 0.4250 data_time: 0.0027 loss: 1.1768 03/04 13:52:54 - mmengine - INFO - Epoch(train) [39][3500/5005] lr: 1.0000e-02 eta: 1 day, 12:11:04 time: 0.4197 data_time: 0.0027 loss: 1.0885 03/04 13:53:36 - mmengine - INFO - Epoch(train) [39][3600/5005] lr: 1.0000e-02 eta: 1 day, 12:10:22 time: 0.4188 data_time: 0.0026 loss: 1.1508 03/04 13:54:18 - mmengine - INFO - Epoch(train) [39][3700/5005] lr: 1.0000e-02 eta: 1 day, 12:09:39 time: 0.4247 data_time: 0.0028 loss: 1.4088 03/04 13:55:01 - mmengine - INFO - Epoch(train) [39][3800/5005] lr: 1.0000e-02 eta: 1 day, 12:08:56 time: 0.4221 data_time: 0.0026 loss: 1.1418 03/04 13:55:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 13:55:43 - mmengine - INFO - Epoch(train) [39][3900/5005] lr: 1.0000e-02 eta: 1 day, 12:08:14 time: 0.4218 data_time: 0.0025 loss: 1.2401 03/04 13:56:26 - mmengine - INFO - Epoch(train) [39][4000/5005] lr: 1.0000e-02 eta: 1 day, 12:07:32 time: 0.4185 data_time: 0.0027 loss: 1.2089 03/04 13:57:08 - mmengine - INFO - Epoch(train) [39][4100/5005] lr: 1.0000e-02 eta: 1 day, 12:06:49 time: 0.4218 data_time: 0.0026 loss: 1.0163 03/04 13:57:51 - mmengine - INFO - Epoch(train) [39][4200/5005] lr: 1.0000e-02 eta: 1 day, 12:06:06 time: 0.4214 data_time: 0.0026 loss: 1.2174 03/04 13:58:33 - mmengine - INFO - Epoch(train) [39][4300/5005] lr: 1.0000e-02 eta: 1 day, 12:05:24 time: 0.4262 data_time: 0.0026 loss: 1.1883 03/04 13:59:16 - mmengine - INFO - Epoch(train) [39][4400/5005] lr: 1.0000e-02 eta: 1 day, 12:04:41 time: 0.4242 data_time: 0.0026 loss: 1.3788 03/04 13:59:58 - mmengine - INFO - Epoch(train) [39][4500/5005] lr: 1.0000e-02 eta: 1 day, 12:03:59 time: 0.4245 data_time: 0.0026 loss: 1.4079 03/04 14:00:41 - mmengine - INFO - Epoch(train) [39][4600/5005] lr: 1.0000e-02 eta: 1 day, 12:03:16 time: 0.4238 data_time: 0.0026 loss: 1.1935 03/04 14:01:23 - mmengine - INFO - Epoch(train) [39][4700/5005] lr: 1.0000e-02 eta: 1 day, 12:02:34 time: 0.4209 data_time: 0.0026 loss: 1.2617 03/04 14:02:06 - mmengine - INFO - Epoch(train) [39][4800/5005] lr: 1.0000e-02 eta: 1 day, 12:01:51 time: 0.4330 data_time: 0.0025 loss: 1.2285 03/04 14:02:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:02:48 - mmengine - INFO - Epoch(train) [39][4900/5005] lr: 1.0000e-02 eta: 1 day, 12:01:09 time: 0.4253 data_time: 0.0026 loss: 1.1373 03/04 14:03:31 - mmengine - INFO - Epoch(train) [39][5000/5005] lr: 1.0000e-02 eta: 1 day, 12:00:26 time: 0.4253 data_time: 0.0024 loss: 1.3603 03/04 14:03:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:03:33 - mmengine - INFO - Saving checkpoint at 39 epochs 03/04 14:03:45 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:00:08 time: 0.0275 data_time: 0.0004 03/04 14:03:59 - mmengine - INFO - Epoch(val) [39][196/196] accuracy/top1: 74.8300 accuracy/top5: 92.6480 03/04 14:04:45 - mmengine - INFO - Epoch(train) [40][ 100/5005] lr: 1.0000e-02 eta: 1 day, 11:59:47 time: 0.4223 data_time: 0.0027 loss: 1.0850 03/04 14:05:28 - mmengine - INFO - Epoch(train) [40][ 200/5005] lr: 1.0000e-02 eta: 1 day, 11:59:05 time: 0.4258 data_time: 0.0028 loss: 1.0304 03/04 14:06:10 - mmengine - INFO - Epoch(train) [40][ 300/5005] lr: 1.0000e-02 eta: 1 day, 11:58:22 time: 0.4283 data_time: 0.0027 loss: 1.1114 03/04 14:06:53 - mmengine - INFO - Epoch(train) [40][ 400/5005] lr: 1.0000e-02 eta: 1 day, 11:57:41 time: 0.4292 data_time: 0.0030 loss: 0.8872 03/04 14:07:36 - mmengine - INFO - Epoch(train) [40][ 500/5005] lr: 1.0000e-02 eta: 1 day, 11:56:58 time: 0.4270 data_time: 0.0027 loss: 1.1863 03/04 14:08:19 - mmengine - INFO - Epoch(train) [40][ 600/5005] lr: 1.0000e-02 eta: 1 day, 11:56:16 time: 0.4216 data_time: 0.0026 loss: 1.2663 03/04 14:09:01 - mmengine - INFO - Epoch(train) [40][ 700/5005] lr: 1.0000e-02 eta: 1 day, 11:55:33 time: 0.4260 data_time: 0.0028 loss: 1.1308 03/04 14:09:44 - mmengine - INFO - Epoch(train) [40][ 800/5005] lr: 1.0000e-02 eta: 1 day, 11:54:51 time: 0.4325 data_time: 0.0027 loss: 1.3806 03/04 14:09:46 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:10:26 - mmengine - INFO - Epoch(train) [40][ 900/5005] lr: 1.0000e-02 eta: 1 day, 11:54:09 time: 0.4222 data_time: 0.0029 loss: 1.2909 03/04 14:11:09 - mmengine - INFO - Epoch(train) [40][1000/5005] lr: 1.0000e-02 eta: 1 day, 11:53:26 time: 0.4259 data_time: 0.0028 loss: 1.0432 03/04 14:11:51 - mmengine - INFO - Epoch(train) [40][1100/5005] lr: 1.0000e-02 eta: 1 day, 11:52:44 time: 0.4179 data_time: 0.0027 loss: 1.3438 03/04 14:12:34 - mmengine - INFO - Epoch(train) [40][1200/5005] lr: 1.0000e-02 eta: 1 day, 11:52:01 time: 0.4233 data_time: 0.0027 loss: 0.9197 03/04 14:13:16 - mmengine - INFO - Epoch(train) [40][1300/5005] lr: 1.0000e-02 eta: 1 day, 11:51:19 time: 0.4274 data_time: 0.0028 loss: 1.2210 03/04 14:13:59 - mmengine - INFO - Epoch(train) [40][1400/5005] lr: 1.0000e-02 eta: 1 day, 11:50:36 time: 0.4263 data_time: 0.0027 loss: 1.1770 03/04 14:14:41 - mmengine - INFO - Epoch(train) [40][1500/5005] lr: 1.0000e-02 eta: 1 day, 11:49:54 time: 0.4250 data_time: 0.0027 loss: 1.0341 03/04 14:15:24 - mmengine - INFO - Epoch(train) [40][1600/5005] lr: 1.0000e-02 eta: 1 day, 11:49:12 time: 0.4293 data_time: 0.0029 loss: 1.1974 03/04 14:16:07 - mmengine - INFO - Epoch(train) [40][1700/5005] lr: 1.0000e-02 eta: 1 day, 11:48:29 time: 0.4210 data_time: 0.0026 loss: 1.1824 03/04 14:16:49 - mmengine - INFO - Epoch(train) [40][1800/5005] lr: 1.0000e-02 eta: 1 day, 11:47:47 time: 0.4239 data_time: 0.0027 loss: 1.1410 03/04 14:16:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:17:32 - mmengine - INFO - Epoch(train) [40][1900/5005] lr: 1.0000e-02 eta: 1 day, 11:47:04 time: 0.4201 data_time: 0.0026 loss: 1.2096 03/04 14:18:14 - mmengine - INFO - Epoch(train) [40][2000/5005] lr: 1.0000e-02 eta: 1 day, 11:46:22 time: 0.4244 data_time: 0.0027 loss: 1.1350 03/04 14:18:57 - mmengine - INFO - Epoch(train) [40][2100/5005] lr: 1.0000e-02 eta: 1 day, 11:45:39 time: 0.4244 data_time: 0.0026 loss: 1.2579 03/04 14:19:39 - mmengine - INFO - Epoch(train) [40][2200/5005] lr: 1.0000e-02 eta: 1 day, 11:44:57 time: 0.4215 data_time: 0.0025 loss: 1.3014 03/04 14:20:22 - mmengine - INFO - Epoch(train) [40][2300/5005] lr: 1.0000e-02 eta: 1 day, 11:44:14 time: 0.4261 data_time: 0.0027 loss: 1.1590 03/04 14:21:04 - mmengine - INFO - Epoch(train) [40][2400/5005] lr: 1.0000e-02 eta: 1 day, 11:43:32 time: 0.4240 data_time: 0.0027 loss: 1.1356 03/04 14:21:47 - mmengine - INFO - Epoch(train) [40][2500/5005] lr: 1.0000e-02 eta: 1 day, 11:42:50 time: 0.4212 data_time: 0.0027 loss: 1.2301 03/04 14:22:29 - mmengine - INFO - Epoch(train) [40][2600/5005] lr: 1.0000e-02 eta: 1 day, 11:42:07 time: 0.4214 data_time: 0.0026 loss: 1.2168 03/04 14:23:12 - mmengine - INFO - Epoch(train) [40][2700/5005] lr: 1.0000e-02 eta: 1 day, 11:41:24 time: 0.4198 data_time: 0.0026 loss: 1.3110 03/04 14:23:54 - mmengine - INFO - Epoch(train) [40][2800/5005] lr: 1.0000e-02 eta: 1 day, 11:40:42 time: 0.4265 data_time: 0.0028 loss: 1.0453 03/04 14:23:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:24:37 - mmengine - INFO - Epoch(train) [40][2900/5005] lr: 1.0000e-02 eta: 1 day, 11:40:00 time: 0.4311 data_time: 0.0025 loss: 1.1475 03/04 14:25:19 - mmengine - INFO - Epoch(train) [40][3000/5005] lr: 1.0000e-02 eta: 1 day, 11:39:17 time: 0.4230 data_time: 0.0025 loss: 1.1780 03/04 14:26:02 - mmengine - INFO - Epoch(train) [40][3100/5005] lr: 1.0000e-02 eta: 1 day, 11:38:34 time: 0.4256 data_time: 0.0025 loss: 1.3069 03/04 14:26:44 - mmengine - INFO - Epoch(train) [40][3200/5005] lr: 1.0000e-02 eta: 1 day, 11:37:52 time: 0.4261 data_time: 0.0026 loss: 1.1344 03/04 14:27:27 - mmengine - INFO - Epoch(train) [40][3300/5005] lr: 1.0000e-02 eta: 1 day, 11:37:09 time: 0.4234 data_time: 0.0027 loss: 1.2308 03/04 14:28:09 - mmengine - INFO - Epoch(train) [40][3400/5005] lr: 1.0000e-02 eta: 1 day, 11:36:27 time: 0.4212 data_time: 0.0026 loss: 1.2804 03/04 14:28:52 - mmengine - INFO - Epoch(train) [40][3500/5005] lr: 1.0000e-02 eta: 1 day, 11:35:45 time: 0.4251 data_time: 0.0028 loss: 1.2257 03/04 14:29:34 - mmengine - INFO - Epoch(train) [40][3600/5005] lr: 1.0000e-02 eta: 1 day, 11:35:02 time: 0.4211 data_time: 0.0025 loss: 1.0906 03/04 14:30:17 - mmengine - INFO - Epoch(train) [40][3700/5005] lr: 1.0000e-02 eta: 1 day, 11:34:20 time: 0.4203 data_time: 0.0026 loss: 1.3815 03/04 14:30:59 - mmengine - INFO - Epoch(train) [40][3800/5005] lr: 1.0000e-02 eta: 1 day, 11:33:37 time: 0.4238 data_time: 0.0025 loss: 0.9848 03/04 14:31:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:31:42 - mmengine - INFO - Epoch(train) [40][3900/5005] lr: 1.0000e-02 eta: 1 day, 11:32:55 time: 0.4249 data_time: 0.0026 loss: 1.4279 03/04 14:32:25 - mmengine - INFO - Epoch(train) [40][4000/5005] lr: 1.0000e-02 eta: 1 day, 11:32:12 time: 0.4233 data_time: 0.0026 loss: 1.2707 03/04 14:33:07 - mmengine - INFO - Epoch(train) [40][4100/5005] lr: 1.0000e-02 eta: 1 day, 11:31:30 time: 0.4216 data_time: 0.0025 loss: 1.2040 03/04 14:33:49 - mmengine - INFO - Epoch(train) [40][4200/5005] lr: 1.0000e-02 eta: 1 day, 11:30:47 time: 0.4258 data_time: 0.0025 loss: 1.1931 03/04 14:34:32 - mmengine - INFO - Epoch(train) [40][4300/5005] lr: 1.0000e-02 eta: 1 day, 11:30:05 time: 0.4206 data_time: 0.0026 loss: 1.1735 03/04 14:35:14 - mmengine - INFO - Epoch(train) [40][4400/5005] lr: 1.0000e-02 eta: 1 day, 11:29:22 time: 0.4209 data_time: 0.0026 loss: 1.0532 03/04 14:35:57 - mmengine - INFO - Epoch(train) [40][4500/5005] lr: 1.0000e-02 eta: 1 day, 11:28:40 time: 0.4229 data_time: 0.0025 loss: 1.0425 03/04 14:36:39 - mmengine - INFO - Epoch(train) [40][4600/5005] lr: 1.0000e-02 eta: 1 day, 11:27:57 time: 0.4235 data_time: 0.0026 loss: 1.2058 03/04 14:37:22 - mmengine - INFO - Epoch(train) [40][4700/5005] lr: 1.0000e-02 eta: 1 day, 11:27:15 time: 0.4250 data_time: 0.0026 loss: 1.2048 03/04 14:38:05 - mmengine - INFO - Epoch(train) [40][4800/5005] lr: 1.0000e-02 eta: 1 day, 11:26:33 time: 0.4267 data_time: 0.0026 loss: 1.0110 03/04 14:38:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:38:47 - mmengine - INFO - Epoch(train) [40][4900/5005] lr: 1.0000e-02 eta: 1 day, 11:25:50 time: 0.4282 data_time: 0.0026 loss: 1.1986 03/04 14:39:30 - mmengine - INFO - Epoch(train) [40][5000/5005] lr: 1.0000e-02 eta: 1 day, 11:25:08 time: 0.4190 data_time: 0.0026 loss: 1.2078 03/04 14:39:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:39:33 - mmengine - INFO - Saving checkpoint at 40 epochs 03/04 14:39:45 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:00:08 time: 0.0296 data_time: 0.0006 03/04 14:39:58 - mmengine - INFO - Epoch(val) [40][196/196] accuracy/top1: 74.8480 accuracy/top5: 92.5900 03/04 14:40:44 - mmengine - INFO - Epoch(train) [41][ 100/5005] lr: 1.0000e-02 eta: 1 day, 11:24:28 time: 0.4250 data_time: 0.0025 loss: 1.1935 03/04 14:41:27 - mmengine - INFO - Epoch(train) [41][ 200/5005] lr: 1.0000e-02 eta: 1 day, 11:23:45 time: 0.4249 data_time: 0.0027 loss: 1.3222 03/04 14:42:09 - mmengine - INFO - Epoch(train) [41][ 300/5005] lr: 1.0000e-02 eta: 1 day, 11:23:03 time: 0.4270 data_time: 0.0026 loss: 1.0874 03/04 14:42:52 - mmengine - INFO - Epoch(train) [41][ 400/5005] lr: 1.0000e-02 eta: 1 day, 11:22:21 time: 0.4254 data_time: 0.0026 loss: 1.2523 03/04 14:43:35 - mmengine - INFO - Epoch(train) [41][ 500/5005] lr: 1.0000e-02 eta: 1 day, 11:21:38 time: 0.4208 data_time: 0.0028 loss: 0.9096 03/04 14:44:17 - mmengine - INFO - Epoch(train) [41][ 600/5005] lr: 1.0000e-02 eta: 1 day, 11:20:57 time: 0.4247 data_time: 0.0026 loss: 1.1419 03/04 14:45:00 - mmengine - INFO - Epoch(train) [41][ 700/5005] lr: 1.0000e-02 eta: 1 day, 11:20:14 time: 0.4293 data_time: 0.0027 loss: 1.0305 03/04 14:45:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:45:43 - mmengine - INFO - Epoch(train) [41][ 800/5005] lr: 1.0000e-02 eta: 1 day, 11:19:32 time: 0.4419 data_time: 0.0025 loss: 1.2504 03/04 14:46:25 - mmengine - INFO - Epoch(train) [41][ 900/5005] lr: 1.0000e-02 eta: 1 day, 11:18:50 time: 0.4281 data_time: 0.0026 loss: 1.1519 03/04 14:47:08 - mmengine - INFO - Epoch(train) [41][1000/5005] lr: 1.0000e-02 eta: 1 day, 11:18:07 time: 0.4269 data_time: 0.0027 loss: 1.2406 03/04 14:47:50 - mmengine - INFO - Epoch(train) [41][1100/5005] lr: 1.0000e-02 eta: 1 day, 11:17:24 time: 0.4229 data_time: 0.0027 loss: 1.0351 03/04 14:48:33 - mmengine - INFO - Epoch(train) [41][1200/5005] lr: 1.0000e-02 eta: 1 day, 11:16:42 time: 0.4212 data_time: 0.0027 loss: 1.1183 03/04 14:49:15 - mmengine - INFO - Epoch(train) [41][1300/5005] lr: 1.0000e-02 eta: 1 day, 11:15:59 time: 0.4197 data_time: 0.0026 loss: 1.1538 03/04 14:49:57 - mmengine - INFO - Epoch(train) [41][1400/5005] lr: 1.0000e-02 eta: 1 day, 11:15:16 time: 0.4251 data_time: 0.0028 loss: 1.4471 03/04 14:50:40 - mmengine - INFO - Epoch(train) [41][1500/5005] lr: 1.0000e-02 eta: 1 day, 11:14:34 time: 0.4305 data_time: 0.0026 loss: 1.3329 03/04 14:51:23 - mmengine - INFO - Epoch(train) [41][1600/5005] lr: 1.0000e-02 eta: 1 day, 11:13:52 time: 0.4221 data_time: 0.0027 loss: 1.2472 03/04 14:52:05 - mmengine - INFO - Epoch(train) [41][1700/5005] lr: 1.0000e-02 eta: 1 day, 11:13:09 time: 0.4184 data_time: 0.0025 loss: 1.1426 03/04 14:52:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:52:47 - mmengine - INFO - Epoch(train) [41][1800/5005] lr: 1.0000e-02 eta: 1 day, 11:12:26 time: 0.4215 data_time: 0.0026 loss: 1.1648 03/04 14:53:30 - mmengine - INFO - Epoch(train) [41][1900/5005] lr: 1.0000e-02 eta: 1 day, 11:11:44 time: 0.4202 data_time: 0.0025 loss: 1.1775 03/04 14:54:12 - mmengine - INFO - Epoch(train) [41][2000/5005] lr: 1.0000e-02 eta: 1 day, 11:11:01 time: 0.4238 data_time: 0.0026 loss: 1.1902 03/04 14:54:55 - mmengine - INFO - Epoch(train) [41][2100/5005] lr: 1.0000e-02 eta: 1 day, 11:10:19 time: 0.4361 data_time: 0.0027 loss: 1.2485 03/04 14:55:37 - mmengine - INFO - Epoch(train) [41][2200/5005] lr: 1.0000e-02 eta: 1 day, 11:09:36 time: 0.4282 data_time: 0.0026 loss: 0.9890 03/04 14:56:20 - mmengine - INFO - Epoch(train) [41][2300/5005] lr: 1.0000e-02 eta: 1 day, 11:08:53 time: 0.4206 data_time: 0.0026 loss: 1.1231 03/04 14:57:02 - mmengine - INFO - Epoch(train) [41][2400/5005] lr: 1.0000e-02 eta: 1 day, 11:08:11 time: 0.4294 data_time: 0.0028 loss: 1.0615 03/04 14:57:45 - mmengine - INFO - Epoch(train) [41][2500/5005] lr: 1.0000e-02 eta: 1 day, 11:07:29 time: 0.4364 data_time: 0.0025 loss: 1.2214 03/04 14:58:27 - mmengine - INFO - Epoch(train) [41][2600/5005] lr: 1.0000e-02 eta: 1 day, 11:06:46 time: 0.4251 data_time: 0.0026 loss: 1.1497 03/04 14:59:10 - mmengine - INFO - Epoch(train) [41][2700/5005] lr: 1.0000e-02 eta: 1 day, 11:06:04 time: 0.4232 data_time: 0.0026 loss: 1.1898 03/04 14:59:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 14:59:53 - mmengine - INFO - Epoch(train) [41][2800/5005] lr: 1.0000e-02 eta: 1 day, 11:05:21 time: 0.4215 data_time: 0.0025 loss: 1.2827 03/04 15:00:35 - mmengine - INFO - Epoch(train) [41][2900/5005] lr: 1.0000e-02 eta: 1 day, 11:04:39 time: 0.4212 data_time: 0.0027 loss: 1.1033 03/04 15:01:17 - mmengine - INFO - Epoch(train) [41][3000/5005] lr: 1.0000e-02 eta: 1 day, 11:03:56 time: 0.4229 data_time: 0.0025 loss: 1.3417 03/04 15:02:00 - mmengine - INFO - Epoch(train) [41][3100/5005] lr: 1.0000e-02 eta: 1 day, 11:03:14 time: 0.4275 data_time: 0.0025 loss: 1.1293 03/04 15:02:42 - mmengine - INFO - Epoch(train) [41][3200/5005] lr: 1.0000e-02 eta: 1 day, 11:02:31 time: 0.4228 data_time: 0.0026 loss: 1.0327 03/04 15:03:25 - mmengine - INFO - Epoch(train) [41][3300/5005] lr: 1.0000e-02 eta: 1 day, 11:01:48 time: 0.4222 data_time: 0.0025 loss: 1.1912 03/04 15:04:07 - mmengine - INFO - Epoch(train) [41][3400/5005] lr: 1.0000e-02 eta: 1 day, 11:01:06 time: 0.4263 data_time: 0.0027 loss: 1.0957 03/04 15:04:49 - mmengine - INFO - Epoch(train) [41][3500/5005] lr: 1.0000e-02 eta: 1 day, 11:00:23 time: 0.4266 data_time: 0.0026 loss: 1.2298 03/04 15:05:32 - mmengine - INFO - Epoch(train) [41][3600/5005] lr: 1.0000e-02 eta: 1 day, 10:59:40 time: 0.4255 data_time: 0.0026 loss: 1.4127 03/04 15:06:14 - mmengine - INFO - Epoch(train) [41][3700/5005] lr: 1.0000e-02 eta: 1 day, 10:58:58 time: 0.4222 data_time: 0.0026 loss: 1.2385 03/04 15:06:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:06:57 - mmengine - INFO - Epoch(train) [41][3800/5005] lr: 1.0000e-02 eta: 1 day, 10:58:15 time: 0.4242 data_time: 0.0028 loss: 1.1391 03/04 15:07:39 - mmengine - INFO - Epoch(train) [41][3900/5005] lr: 1.0000e-02 eta: 1 day, 10:57:32 time: 0.4215 data_time: 0.0026 loss: 1.1814 03/04 15:08:21 - mmengine - INFO - Epoch(train) [41][4000/5005] lr: 1.0000e-02 eta: 1 day, 10:56:50 time: 0.4247 data_time: 0.0027 loss: 1.0927 03/04 15:09:04 - mmengine - INFO - Epoch(train) [41][4100/5005] lr: 1.0000e-02 eta: 1 day, 10:56:07 time: 0.4206 data_time: 0.0026 loss: 1.2105 03/04 15:09:47 - mmengine - INFO - Epoch(train) [41][4200/5005] lr: 1.0000e-02 eta: 1 day, 10:55:25 time: 0.4215 data_time: 0.0027 loss: 1.2095 03/04 15:10:29 - mmengine - INFO - Epoch(train) [41][4300/5005] lr: 1.0000e-02 eta: 1 day, 10:54:43 time: 0.4208 data_time: 0.0027 loss: 1.1559 03/04 15:11:11 - mmengine - INFO - Epoch(train) [41][4400/5005] lr: 1.0000e-02 eta: 1 day, 10:54:00 time: 0.4295 data_time: 0.0027 loss: 1.1910 03/04 15:11:54 - mmengine - INFO - Epoch(train) [41][4500/5005] lr: 1.0000e-02 eta: 1 day, 10:53:17 time: 0.4241 data_time: 0.0027 loss: 1.2113 03/04 15:12:36 - mmengine - INFO - Epoch(train) [41][4600/5005] lr: 1.0000e-02 eta: 1 day, 10:52:34 time: 0.4263 data_time: 0.0026 loss: 1.1460 03/04 15:13:18 - mmengine - INFO - Epoch(train) [41][4700/5005] lr: 1.0000e-02 eta: 1 day, 10:51:51 time: 0.4202 data_time: 0.0025 loss: 1.3368 03/04 15:14:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:14:01 - mmengine - INFO - Epoch(train) [41][4800/5005] lr: 1.0000e-02 eta: 1 day, 10:51:09 time: 0.4242 data_time: 0.0025 loss: 1.3188 03/04 15:14:43 - mmengine - INFO - Epoch(train) [41][4900/5005] lr: 1.0000e-02 eta: 1 day, 10:50:27 time: 0.4247 data_time: 0.0027 loss: 1.1343 03/04 15:15:26 - mmengine - INFO - Epoch(train) [41][5000/5005] lr: 1.0000e-02 eta: 1 day, 10:49:44 time: 0.4206 data_time: 0.0024 loss: 1.2523 03/04 15:15:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:15:29 - mmengine - INFO - Saving checkpoint at 41 epochs 03/04 15:15:41 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:00:08 time: 0.0271 data_time: 0.0004 03/04 15:15:54 - mmengine - INFO - Epoch(val) [41][196/196] accuracy/top1: 74.8800 accuracy/top5: 92.5320 03/04 15:16:40 - mmengine - INFO - Epoch(train) [42][ 100/5005] lr: 1.0000e-02 eta: 1 day, 10:49:04 time: 0.4334 data_time: 0.0026 loss: 1.3673 03/04 15:17:22 - mmengine - INFO - Epoch(train) [42][ 200/5005] lr: 1.0000e-02 eta: 1 day, 10:48:21 time: 0.4255 data_time: 0.0027 loss: 1.0862 03/04 15:18:05 - mmengine - INFO - Epoch(train) [42][ 300/5005] lr: 1.0000e-02 eta: 1 day, 10:47:39 time: 0.4350 data_time: 0.0026 loss: 1.1205 03/04 15:18:47 - mmengine - INFO - Epoch(train) [42][ 400/5005] lr: 1.0000e-02 eta: 1 day, 10:46:56 time: 0.4232 data_time: 0.0028 loss: 1.2172 03/04 15:19:30 - mmengine - INFO - Epoch(train) [42][ 500/5005] lr: 1.0000e-02 eta: 1 day, 10:46:14 time: 0.4181 data_time: 0.0027 loss: 1.0002 03/04 15:20:12 - mmengine - INFO - Epoch(train) [42][ 600/5005] lr: 1.0000e-02 eta: 1 day, 10:45:31 time: 0.4203 data_time: 0.0027 loss: 1.0883 03/04 15:20:55 - mmengine - INFO - Epoch(train) [42][ 700/5005] lr: 1.0000e-02 eta: 1 day, 10:44:49 time: 0.4345 data_time: 0.0026 loss: 1.0876 03/04 15:21:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:21:37 - mmengine - INFO - Epoch(train) [42][ 800/5005] lr: 1.0000e-02 eta: 1 day, 10:44:06 time: 0.4247 data_time: 0.0027 loss: 1.1946 03/04 15:22:19 - mmengine - INFO - Epoch(train) [42][ 900/5005] lr: 1.0000e-02 eta: 1 day, 10:43:23 time: 0.4213 data_time: 0.0027 loss: 0.9975 03/04 15:23:02 - mmengine - INFO - Epoch(train) [42][1000/5005] lr: 1.0000e-02 eta: 1 day, 10:42:40 time: 0.4227 data_time: 0.0026 loss: 1.1957 03/04 15:23:44 - mmengine - INFO - Epoch(train) [42][1100/5005] lr: 1.0000e-02 eta: 1 day, 10:41:58 time: 0.4229 data_time: 0.0028 loss: 1.1266 03/04 15:24:27 - mmengine - INFO - Epoch(train) [42][1200/5005] lr: 1.0000e-02 eta: 1 day, 10:41:15 time: 0.4238 data_time: 0.0026 loss: 1.1551 03/04 15:25:09 - mmengine - INFO - Epoch(train) [42][1300/5005] lr: 1.0000e-02 eta: 1 day, 10:40:33 time: 0.4231 data_time: 0.0027 loss: 1.2198 03/04 15:25:52 - mmengine - INFO - Epoch(train) [42][1400/5005] lr: 1.0000e-02 eta: 1 day, 10:39:50 time: 0.4246 data_time: 0.0027 loss: 1.1107 03/04 15:26:34 - mmengine - INFO - Epoch(train) [42][1500/5005] lr: 1.0000e-02 eta: 1 day, 10:39:08 time: 0.4246 data_time: 0.0027 loss: 1.0955 03/04 15:27:16 - mmengine - INFO - Epoch(train) [42][1600/5005] lr: 1.0000e-02 eta: 1 day, 10:38:25 time: 0.4199 data_time: 0.0026 loss: 1.2869 03/04 15:27:59 - mmengine - INFO - Epoch(train) [42][1700/5005] lr: 1.0000e-02 eta: 1 day, 10:37:43 time: 0.4201 data_time: 0.0026 loss: 1.3614 03/04 15:28:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:28:42 - mmengine - INFO - Epoch(train) [42][1800/5005] lr: 1.0000e-02 eta: 1 day, 10:37:00 time: 0.4230 data_time: 0.0025 loss: 1.3593 03/04 15:29:24 - mmengine - INFO - Epoch(train) [42][1900/5005] lr: 1.0000e-02 eta: 1 day, 10:36:18 time: 0.4169 data_time: 0.0028 loss: 1.2206 03/04 15:30:06 - mmengine - INFO - Epoch(train) [42][2000/5005] lr: 1.0000e-02 eta: 1 day, 10:35:35 time: 0.4223 data_time: 0.0025 loss: 1.1596 03/04 15:30:49 - mmengine - INFO - Epoch(train) [42][2100/5005] lr: 1.0000e-02 eta: 1 day, 10:34:52 time: 0.4208 data_time: 0.0027 loss: 1.1308 03/04 15:31:31 - mmengine - INFO - Epoch(train) [42][2200/5005] lr: 1.0000e-02 eta: 1 day, 10:34:10 time: 0.4212 data_time: 0.0026 loss: 1.1419 03/04 15:32:14 - mmengine - INFO - Epoch(train) [42][2300/5005] lr: 1.0000e-02 eta: 1 day, 10:33:27 time: 0.4207 data_time: 0.0025 loss: 1.2079 03/04 15:32:56 - mmengine - INFO - Epoch(train) [42][2400/5005] lr: 1.0000e-02 eta: 1 day, 10:32:44 time: 0.4223 data_time: 0.0027 loss: 1.1212 03/04 15:33:39 - mmengine - INFO - Epoch(train) [42][2500/5005] lr: 1.0000e-02 eta: 1 day, 10:32:02 time: 0.4244 data_time: 0.0026 loss: 1.3038 03/04 15:34:21 - mmengine - INFO - Epoch(train) [42][2600/5005] lr: 1.0000e-02 eta: 1 day, 10:31:19 time: 0.4257 data_time: 0.0029 loss: 1.2121 03/04 15:35:04 - mmengine - INFO - Epoch(train) [42][2700/5005] lr: 1.0000e-02 eta: 1 day, 10:30:37 time: 0.4239 data_time: 0.0026 loss: 1.1855 03/04 15:35:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:35:46 - mmengine - INFO - Epoch(train) [42][2800/5005] lr: 1.0000e-02 eta: 1 day, 10:29:54 time: 0.4244 data_time: 0.0028 loss: 1.1071 03/04 15:36:28 - mmengine - INFO - Epoch(train) [42][2900/5005] lr: 1.0000e-02 eta: 1 day, 10:29:12 time: 0.4243 data_time: 0.0026 loss: 1.2794 03/04 15:37:11 - mmengine - INFO - Epoch(train) [42][3000/5005] lr: 1.0000e-02 eta: 1 day, 10:28:29 time: 0.4266 data_time: 0.0026 loss: 1.2254 03/04 15:37:53 - mmengine - INFO - Epoch(train) [42][3100/5005] lr: 1.0000e-02 eta: 1 day, 10:27:46 time: 0.4223 data_time: 0.0027 loss: 1.1121 03/04 15:38:36 - mmengine - INFO - Epoch(train) [42][3200/5005] lr: 1.0000e-02 eta: 1 day, 10:27:04 time: 0.4221 data_time: 0.0026 loss: 1.2414 03/04 15:39:18 - mmengine - INFO - Epoch(train) [42][3300/5005] lr: 1.0000e-02 eta: 1 day, 10:26:21 time: 0.4269 data_time: 0.0030 loss: 0.9345 03/04 15:40:00 - mmengine - INFO - Epoch(train) [42][3400/5005] lr: 1.0000e-02 eta: 1 day, 10:25:38 time: 0.4252 data_time: 0.0027 loss: 1.4351 03/04 15:40:43 - mmengine - INFO - Epoch(train) [42][3500/5005] lr: 1.0000e-02 eta: 1 day, 10:24:55 time: 0.4213 data_time: 0.0028 loss: 1.2070 03/04 15:41:25 - mmengine - INFO - Epoch(train) [42][3600/5005] lr: 1.0000e-02 eta: 1 day, 10:24:13 time: 0.4271 data_time: 0.0026 loss: 1.2341 03/04 15:42:07 - mmengine - INFO - Epoch(train) [42][3700/5005] lr: 1.0000e-02 eta: 1 day, 10:23:30 time: 0.4247 data_time: 0.0026 loss: 1.0604 03/04 15:42:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:42:50 - mmengine - INFO - Epoch(train) [42][3800/5005] lr: 1.0000e-02 eta: 1 day, 10:22:48 time: 0.4241 data_time: 0.0025 loss: 1.2660 03/04 15:43:32 - mmengine - INFO - Epoch(train) [42][3900/5005] lr: 1.0000e-02 eta: 1 day, 10:22:05 time: 0.4236 data_time: 0.0026 loss: 1.2006 03/04 15:44:15 - mmengine - INFO - Epoch(train) [42][4000/5005] lr: 1.0000e-02 eta: 1 day, 10:21:22 time: 0.4226 data_time: 0.0027 loss: 1.2151 03/04 15:44:57 - mmengine - INFO - Epoch(train) [42][4100/5005] lr: 1.0000e-02 eta: 1 day, 10:20:40 time: 0.4221 data_time: 0.0026 loss: 1.3547 03/04 15:45:39 - mmengine - INFO - Epoch(train) [42][4200/5005] lr: 1.0000e-02 eta: 1 day, 10:19:57 time: 0.4194 data_time: 0.0026 loss: 1.1830 03/04 15:46:22 - mmengine - INFO - Epoch(train) [42][4300/5005] lr: 1.0000e-02 eta: 1 day, 10:19:14 time: 0.4219 data_time: 0.0026 loss: 1.3202 03/04 15:47:04 - mmengine - INFO - Epoch(train) [42][4400/5005] lr: 1.0000e-02 eta: 1 day, 10:18:31 time: 0.4247 data_time: 0.0026 loss: 1.0580 03/04 15:47:46 - mmengine - INFO - Epoch(train) [42][4500/5005] lr: 1.0000e-02 eta: 1 day, 10:17:49 time: 0.4235 data_time: 0.0026 loss: 1.2481 03/04 15:48:29 - mmengine - INFO - Epoch(train) [42][4600/5005] lr: 1.0000e-02 eta: 1 day, 10:17:06 time: 0.4210 data_time: 0.0027 loss: 1.2009 03/04 15:49:11 - mmengine - INFO - Epoch(train) [42][4700/5005] lr: 1.0000e-02 eta: 1 day, 10:16:24 time: 0.4221 data_time: 0.0027 loss: 1.0056 03/04 15:49:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:49:54 - mmengine - INFO - Epoch(train) [42][4800/5005] lr: 1.0000e-02 eta: 1 day, 10:15:41 time: 0.4343 data_time: 0.0026 loss: 1.1408 03/04 15:50:36 - mmengine - INFO - Epoch(train) [42][4900/5005] lr: 1.0000e-02 eta: 1 day, 10:14:58 time: 0.4200 data_time: 0.0028 loss: 1.1621 03/04 15:51:18 - mmengine - INFO - Epoch(train) [42][5000/5005] lr: 1.0000e-02 eta: 1 day, 10:14:15 time: 0.4185 data_time: 0.0024 loss: 1.0460 03/04 15:51:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:51:21 - mmengine - INFO - Saving checkpoint at 42 epochs 03/04 15:51:33 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:00:08 time: 0.0286 data_time: 0.0005 03/04 15:51:46 - mmengine - INFO - Epoch(val) [42][196/196] accuracy/top1: 74.4640 accuracy/top5: 92.6500 03/04 15:52:32 - mmengine - INFO - Epoch(train) [43][ 100/5005] lr: 1.0000e-02 eta: 1 day, 10:13:35 time: 0.4239 data_time: 0.0025 loss: 1.1713 03/04 15:53:14 - mmengine - INFO - Epoch(train) [43][ 200/5005] lr: 1.0000e-02 eta: 1 day, 10:12:52 time: 0.4253 data_time: 0.0027 loss: 1.1164 03/04 15:53:57 - mmengine - INFO - Epoch(train) [43][ 300/5005] lr: 1.0000e-02 eta: 1 day, 10:12:10 time: 0.4232 data_time: 0.0027 loss: 1.0337 03/04 15:54:39 - mmengine - INFO - Epoch(train) [43][ 400/5005] lr: 1.0000e-02 eta: 1 day, 10:11:27 time: 0.4202 data_time: 0.0026 loss: 0.9791 03/04 15:55:22 - mmengine - INFO - Epoch(train) [43][ 500/5005] lr: 1.0000e-02 eta: 1 day, 10:10:44 time: 0.4249 data_time: 0.0027 loss: 0.9990 03/04 15:56:04 - mmengine - INFO - Epoch(train) [43][ 600/5005] lr: 1.0000e-02 eta: 1 day, 10:10:02 time: 0.4224 data_time: 0.0027 loss: 1.2283 03/04 15:56:47 - mmengine - INFO - Epoch(train) [43][ 700/5005] lr: 1.0000e-02 eta: 1 day, 10:09:19 time: 0.4203 data_time: 0.0026 loss: 1.2574 03/04 15:57:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 15:57:29 - mmengine - INFO - Epoch(train) [43][ 800/5005] lr: 1.0000e-02 eta: 1 day, 10:08:37 time: 0.4359 data_time: 0.0029 loss: 1.0692 03/04 15:58:12 - mmengine - INFO - Epoch(train) [43][ 900/5005] lr: 1.0000e-02 eta: 1 day, 10:07:54 time: 0.4204 data_time: 0.0026 loss: 1.1710 03/04 15:58:54 - mmengine - INFO - Epoch(train) [43][1000/5005] lr: 1.0000e-02 eta: 1 day, 10:07:11 time: 0.4272 data_time: 0.0028 loss: 1.1832 03/04 15:59:36 - mmengine - INFO - Epoch(train) [43][1100/5005] lr: 1.0000e-02 eta: 1 day, 10:06:29 time: 0.4225 data_time: 0.0027 loss: 1.3088 03/04 16:00:19 - mmengine - INFO - Epoch(train) [43][1200/5005] lr: 1.0000e-02 eta: 1 day, 10:05:46 time: 0.4210 data_time: 0.0026 loss: 1.0762 03/04 16:01:01 - mmengine - INFO - Epoch(train) [43][1300/5005] lr: 1.0000e-02 eta: 1 day, 10:05:03 time: 0.4226 data_time: 0.0026 loss: 1.0284 03/04 16:01:43 - mmengine - INFO - Epoch(train) [43][1400/5005] lr: 1.0000e-02 eta: 1 day, 10:04:21 time: 0.4207 data_time: 0.0026 loss: 1.2412 03/04 16:02:26 - mmengine - INFO - Epoch(train) [43][1500/5005] lr: 1.0000e-02 eta: 1 day, 10:03:38 time: 0.4282 data_time: 0.0027 loss: 1.1236 03/04 16:03:08 - mmengine - INFO - Epoch(train) [43][1600/5005] lr: 1.0000e-02 eta: 1 day, 10:02:55 time: 0.4238 data_time: 0.0026 loss: 1.1993 03/04 16:03:51 - mmengine - INFO - Epoch(train) [43][1700/5005] lr: 1.0000e-02 eta: 1 day, 10:02:13 time: 0.4220 data_time: 0.0026 loss: 1.1551 03/04 16:04:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:04:33 - mmengine - INFO - Epoch(train) [43][1800/5005] lr: 1.0000e-02 eta: 1 day, 10:01:30 time: 0.4212 data_time: 0.0026 loss: 1.0411 03/04 16:05:15 - mmengine - INFO - Epoch(train) [43][1900/5005] lr: 1.0000e-02 eta: 1 day, 10:00:48 time: 0.4252 data_time: 0.0028 loss: 1.2823 03/04 16:05:58 - mmengine - INFO - Epoch(train) [43][2000/5005] lr: 1.0000e-02 eta: 1 day, 10:00:05 time: 0.4195 data_time: 0.0027 loss: 1.1798 03/04 16:06:40 - mmengine - INFO - Epoch(train) [43][2100/5005] lr: 1.0000e-02 eta: 1 day, 9:59:22 time: 0.4212 data_time: 0.0028 loss: 1.2352 03/04 16:07:23 - mmengine - INFO - Epoch(train) [43][2200/5005] lr: 1.0000e-02 eta: 1 day, 9:58:40 time: 0.4235 data_time: 0.0028 loss: 1.1169 03/04 16:08:05 - mmengine - INFO - Epoch(train) [43][2300/5005] lr: 1.0000e-02 eta: 1 day, 9:57:57 time: 0.4222 data_time: 0.0027 loss: 1.1996 03/04 16:08:47 - mmengine - INFO - Epoch(train) [43][2400/5005] lr: 1.0000e-02 eta: 1 day, 9:57:14 time: 0.4220 data_time: 0.0025 loss: 1.1016 03/04 16:09:30 - mmengine - INFO - Epoch(train) [43][2500/5005] lr: 1.0000e-02 eta: 1 day, 9:56:32 time: 0.4258 data_time: 0.0025 loss: 1.3292 03/04 16:10:12 - mmengine - INFO - Epoch(train) [43][2600/5005] lr: 1.0000e-02 eta: 1 day, 9:55:49 time: 0.4212 data_time: 0.0028 loss: 1.1891 03/04 16:10:54 - mmengine - INFO - Epoch(train) [43][2700/5005] lr: 1.0000e-02 eta: 1 day, 9:55:06 time: 0.4270 data_time: 0.0027 loss: 1.2580 03/04 16:11:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:11:37 - mmengine - INFO - Epoch(train) [43][2800/5005] lr: 1.0000e-02 eta: 1 day, 9:54:24 time: 0.4223 data_time: 0.0026 loss: 1.2550 03/04 16:12:19 - mmengine - INFO - Epoch(train) [43][2900/5005] lr: 1.0000e-02 eta: 1 day, 9:53:41 time: 0.4204 data_time: 0.0027 loss: 1.1352 03/04 16:13:02 - mmengine - INFO - Epoch(train) [43][3000/5005] lr: 1.0000e-02 eta: 1 day, 9:52:58 time: 0.4240 data_time: 0.0027 loss: 1.1867 03/04 16:13:44 - mmengine - INFO - Epoch(train) [43][3100/5005] lr: 1.0000e-02 eta: 1 day, 9:52:16 time: 0.4255 data_time: 0.0027 loss: 1.2219 03/04 16:14:27 - mmengine - INFO - Epoch(train) [43][3200/5005] lr: 1.0000e-02 eta: 1 day, 9:51:33 time: 0.4231 data_time: 0.0026 loss: 0.9713 03/04 16:15:09 - mmengine - INFO - Epoch(train) [43][3300/5005] lr: 1.0000e-02 eta: 1 day, 9:50:51 time: 0.4282 data_time: 0.0027 loss: 1.2449 03/04 16:15:52 - mmengine - INFO - Epoch(train) [43][3400/5005] lr: 1.0000e-02 eta: 1 day, 9:50:09 time: 0.4235 data_time: 0.0025 loss: 1.1662 03/04 16:16:35 - mmengine - INFO - Epoch(train) [43][3500/5005] lr: 1.0000e-02 eta: 1 day, 9:49:26 time: 0.4227 data_time: 0.0028 loss: 1.2016 03/04 16:17:17 - mmengine - INFO - Epoch(train) [43][3600/5005] lr: 1.0000e-02 eta: 1 day, 9:48:44 time: 0.4201 data_time: 0.0026 loss: 1.2307 03/04 16:17:59 - mmengine - INFO - Epoch(train) [43][3700/5005] lr: 1.0000e-02 eta: 1 day, 9:48:01 time: 0.4209 data_time: 0.0026 loss: 1.1270 03/04 16:18:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:18:42 - mmengine - INFO - Epoch(train) [43][3800/5005] lr: 1.0000e-02 eta: 1 day, 9:47:19 time: 0.4224 data_time: 0.0027 loss: 1.0541 03/04 16:19:24 - mmengine - INFO - Epoch(train) [43][3900/5005] lr: 1.0000e-02 eta: 1 day, 9:46:36 time: 0.4338 data_time: 0.0026 loss: 1.3089 03/04 16:20:07 - mmengine - INFO - Epoch(train) [43][4000/5005] lr: 1.0000e-02 eta: 1 day, 9:45:54 time: 0.4238 data_time: 0.0028 loss: 1.2337 03/04 16:20:49 - mmengine - INFO - Epoch(train) [43][4100/5005] lr: 1.0000e-02 eta: 1 day, 9:45:11 time: 0.4212 data_time: 0.0027 loss: 1.1838 03/04 16:21:32 - mmengine - INFO - Epoch(train) [43][4200/5005] lr: 1.0000e-02 eta: 1 day, 9:44:29 time: 0.4219 data_time: 0.0027 loss: 1.1853 03/04 16:22:14 - mmengine - INFO - Epoch(train) [43][4300/5005] lr: 1.0000e-02 eta: 1 day, 9:43:46 time: 0.4224 data_time: 0.0026 loss: 1.2804 03/04 16:22:57 - mmengine - INFO - Epoch(train) [43][4400/5005] lr: 1.0000e-02 eta: 1 day, 9:43:03 time: 0.4205 data_time: 0.0027 loss: 1.2412 03/04 16:23:39 - mmengine - INFO - Epoch(train) [43][4500/5005] lr: 1.0000e-02 eta: 1 day, 9:42:21 time: 0.4281 data_time: 0.0028 loss: 1.0732 03/04 16:24:22 - mmengine - INFO - Epoch(train) [43][4600/5005] lr: 1.0000e-02 eta: 1 day, 9:41:38 time: 0.4236 data_time: 0.0028 loss: 1.2235 03/04 16:25:04 - mmengine - INFO - Epoch(train) [43][4700/5005] lr: 1.0000e-02 eta: 1 day, 9:40:56 time: 0.4268 data_time: 0.0029 loss: 1.1203 03/04 16:25:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:25:47 - mmengine - INFO - Epoch(train) [43][4800/5005] lr: 1.0000e-02 eta: 1 day, 9:40:13 time: 0.4227 data_time: 0.0028 loss: 1.2662 03/04 16:26:29 - mmengine - INFO - Epoch(train) [43][4900/5005] lr: 1.0000e-02 eta: 1 day, 9:39:31 time: 0.4229 data_time: 0.0027 loss: 1.1077 03/04 16:27:11 - mmengine - INFO - Epoch(train) [43][5000/5005] lr: 1.0000e-02 eta: 1 day, 9:38:48 time: 0.4238 data_time: 0.0025 loss: 1.2281 03/04 16:27:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:27:14 - mmengine - INFO - Saving checkpoint at 43 epochs 03/04 16:27:26 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:00:08 time: 0.0294 data_time: 0.0005 03/04 16:27:40 - mmengine - INFO - Epoch(val) [43][196/196] accuracy/top1: 74.7420 accuracy/top5: 92.5280 03/04 16:28:26 - mmengine - INFO - Epoch(train) [44][ 100/5005] lr: 1.0000e-02 eta: 1 day, 9:38:07 time: 0.4215 data_time: 0.0027 loss: 1.2865 03/04 16:29:08 - mmengine - INFO - Epoch(train) [44][ 200/5005] lr: 1.0000e-02 eta: 1 day, 9:37:25 time: 0.4240 data_time: 0.0026 loss: 1.3104 03/04 16:29:51 - mmengine - INFO - Epoch(train) [44][ 300/5005] lr: 1.0000e-02 eta: 1 day, 9:36:43 time: 0.4218 data_time: 0.0026 loss: 1.1568 03/04 16:30:33 - mmengine - INFO - Epoch(train) [44][ 400/5005] lr: 1.0000e-02 eta: 1 day, 9:36:00 time: 0.4234 data_time: 0.0032 loss: 1.2005 03/04 16:31:16 - mmengine - INFO - Epoch(train) [44][ 500/5005] lr: 1.0000e-02 eta: 1 day, 9:35:18 time: 0.4214 data_time: 0.0031 loss: 1.0844 03/04 16:31:59 - mmengine - INFO - Epoch(train) [44][ 600/5005] lr: 1.0000e-02 eta: 1 day, 9:34:36 time: 0.4259 data_time: 0.0027 loss: 1.1675 03/04 16:32:41 - mmengine - INFO - Epoch(train) [44][ 700/5005] lr: 1.0000e-02 eta: 1 day, 9:33:53 time: 0.4288 data_time: 0.0026 loss: 1.0736 03/04 16:33:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:33:24 - mmengine - INFO - Epoch(train) [44][ 800/5005] lr: 1.0000e-02 eta: 1 day, 9:33:11 time: 0.4231 data_time: 0.0026 loss: 1.1415 03/04 16:34:06 - mmengine - INFO - Epoch(train) [44][ 900/5005] lr: 1.0000e-02 eta: 1 day, 9:32:28 time: 0.4205 data_time: 0.0026 loss: 1.1227 03/04 16:34:49 - mmengine - INFO - Epoch(train) [44][1000/5005] lr: 1.0000e-02 eta: 1 day, 9:31:46 time: 0.4312 data_time: 0.0029 loss: 1.2802 03/04 16:35:31 - mmengine - INFO - Epoch(train) [44][1100/5005] lr: 1.0000e-02 eta: 1 day, 9:31:03 time: 0.4211 data_time: 0.0026 loss: 1.2970 03/04 16:36:13 - mmengine - INFO - Epoch(train) [44][1200/5005] lr: 1.0000e-02 eta: 1 day, 9:30:20 time: 0.4263 data_time: 0.0027 loss: 1.1790 03/04 16:36:56 - mmengine - INFO - Epoch(train) [44][1300/5005] lr: 1.0000e-02 eta: 1 day, 9:29:38 time: 0.4265 data_time: 0.0027 loss: 1.2132 03/04 16:37:38 - mmengine - INFO - Epoch(train) [44][1400/5005] lr: 1.0000e-02 eta: 1 day, 9:28:55 time: 0.4248 data_time: 0.0028 loss: 1.1948 03/04 16:38:20 - mmengine - INFO - Epoch(train) [44][1500/5005] lr: 1.0000e-02 eta: 1 day, 9:28:12 time: 0.4217 data_time: 0.0029 loss: 1.2510 03/04 16:39:03 - mmengine - INFO - Epoch(train) [44][1600/5005] lr: 1.0000e-02 eta: 1 day, 9:27:29 time: 0.4207 data_time: 0.0028 loss: 1.2051 03/04 16:39:45 - mmengine - INFO - Epoch(train) [44][1700/5005] lr: 1.0000e-02 eta: 1 day, 9:26:47 time: 0.4229 data_time: 0.0032 loss: 1.1814 03/04 16:40:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:40:28 - mmengine - INFO - Epoch(train) [44][1800/5005] lr: 1.0000e-02 eta: 1 day, 9:26:04 time: 0.4247 data_time: 0.0026 loss: 1.1570 03/04 16:41:10 - mmengine - INFO - Epoch(train) [44][1900/5005] lr: 1.0000e-02 eta: 1 day, 9:25:22 time: 0.4241 data_time: 0.0028 loss: 1.0428 03/04 16:41:53 - mmengine - INFO - Epoch(train) [44][2000/5005] lr: 1.0000e-02 eta: 1 day, 9:24:39 time: 0.4289 data_time: 0.0029 loss: 1.1778 03/04 16:42:35 - mmengine - INFO - Epoch(train) [44][2100/5005] lr: 1.0000e-02 eta: 1 day, 9:23:57 time: 0.4265 data_time: 0.0028 loss: 1.2326 03/04 16:43:18 - mmengine - INFO - Epoch(train) [44][2200/5005] lr: 1.0000e-02 eta: 1 day, 9:23:14 time: 0.4214 data_time: 0.0027 loss: 1.0941 03/04 16:44:00 - mmengine - INFO - Epoch(train) [44][2300/5005] lr: 1.0000e-02 eta: 1 day, 9:22:31 time: 0.4184 data_time: 0.0027 loss: 1.1577 03/04 16:44:42 - mmengine - INFO - Epoch(train) [44][2400/5005] lr: 1.0000e-02 eta: 1 day, 9:21:49 time: 0.4210 data_time: 0.0027 loss: 1.2711 03/04 16:45:25 - mmengine - INFO - Epoch(train) [44][2500/5005] lr: 1.0000e-02 eta: 1 day, 9:21:07 time: 0.4251 data_time: 0.0029 loss: 1.2474 03/04 16:46:08 - mmengine - INFO - Epoch(train) [44][2600/5005] lr: 1.0000e-02 eta: 1 day, 9:20:24 time: 0.4269 data_time: 0.0026 loss: 1.2907 03/04 16:46:50 - mmengine - INFO - Epoch(train) [44][2700/5005] lr: 1.0000e-02 eta: 1 day, 9:19:41 time: 0.4192 data_time: 0.0026 loss: 1.1192 03/04 16:47:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:47:32 - mmengine - INFO - Epoch(train) [44][2800/5005] lr: 1.0000e-02 eta: 1 day, 9:18:59 time: 0.4205 data_time: 0.0028 loss: 1.1747 03/04 16:48:15 - mmengine - INFO - Epoch(train) [44][2900/5005] lr: 1.0000e-02 eta: 1 day, 9:18:16 time: 0.4284 data_time: 0.0028 loss: 1.1617 03/04 16:48:57 - mmengine - INFO - Epoch(train) [44][3000/5005] lr: 1.0000e-02 eta: 1 day, 9:17:33 time: 0.4246 data_time: 0.0026 loss: 1.2433 03/04 16:49:39 - mmengine - INFO - Epoch(train) [44][3100/5005] lr: 1.0000e-02 eta: 1 day, 9:16:51 time: 0.4205 data_time: 0.0028 loss: 1.1108 03/04 16:50:22 - mmengine - INFO - Epoch(train) [44][3200/5005] lr: 1.0000e-02 eta: 1 day, 9:16:08 time: 0.4267 data_time: 0.0027 loss: 1.1222 03/04 16:51:04 - mmengine - INFO - Epoch(train) [44][3300/5005] lr: 1.0000e-02 eta: 1 day, 9:15:25 time: 0.4237 data_time: 0.0028 loss: 1.1519 03/04 16:51:46 - mmengine - INFO - Epoch(train) [44][3400/5005] lr: 1.0000e-02 eta: 1 day, 9:14:43 time: 0.4237 data_time: 0.0027 loss: 1.0689 03/04 16:52:29 - mmengine - INFO - Epoch(train) [44][3500/5005] lr: 1.0000e-02 eta: 1 day, 9:14:00 time: 0.4279 data_time: 0.0027 loss: 1.1460 03/04 16:53:11 - mmengine - INFO - Epoch(train) [44][3600/5005] lr: 1.0000e-02 eta: 1 day, 9:13:17 time: 0.4197 data_time: 0.0027 loss: 1.1965 03/04 16:53:53 - mmengine - INFO - Epoch(train) [44][3700/5005] lr: 1.0000e-02 eta: 1 day, 9:12:34 time: 0.4236 data_time: 0.0026 loss: 1.2537 03/04 16:54:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 16:54:35 - mmengine - INFO - Epoch(train) [44][3800/5005] lr: 1.0000e-02 eta: 1 day, 9:11:51 time: 0.4213 data_time: 0.0026 loss: 1.0406 03/04 16:55:18 - mmengine - INFO - Epoch(train) [44][3900/5005] lr: 1.0000e-02 eta: 1 day, 9:11:09 time: 0.4219 data_time: 0.0027 loss: 1.3889 03/04 16:56:00 - mmengine - INFO - Epoch(train) [44][4000/5005] lr: 1.0000e-02 eta: 1 day, 9:10:26 time: 0.4279 data_time: 0.0027 loss: 1.1909 03/04 16:56:42 - mmengine - INFO - Epoch(train) [44][4100/5005] lr: 1.0000e-02 eta: 1 day, 9:09:43 time: 0.4187 data_time: 0.0027 loss: 1.1585 03/04 16:57:25 - mmengine - INFO - Epoch(train) [44][4200/5005] lr: 1.0000e-02 eta: 1 day, 9:09:00 time: 0.4275 data_time: 0.0027 loss: 1.2034 03/04 16:58:07 - mmengine - INFO - Epoch(train) [44][4300/5005] lr: 1.0000e-02 eta: 1 day, 9:08:18 time: 0.4262 data_time: 0.0026 loss: 1.1382 03/04 16:58:49 - mmengine - INFO - Epoch(train) [44][4400/5005] lr: 1.0000e-02 eta: 1 day, 9:07:35 time: 0.4218 data_time: 0.0027 loss: 1.0679 03/04 16:59:31 - mmengine - INFO - Epoch(train) [44][4500/5005] lr: 1.0000e-02 eta: 1 day, 9:06:52 time: 0.4244 data_time: 0.0028 loss: 1.1320 03/04 17:00:14 - mmengine - INFO - Epoch(train) [44][4600/5005] lr: 1.0000e-02 eta: 1 day, 9:06:09 time: 0.4177 data_time: 0.0027 loss: 1.1407 03/04 17:00:56 - mmengine - INFO - Epoch(train) [44][4700/5005] lr: 1.0000e-02 eta: 1 day, 9:05:26 time: 0.4190 data_time: 0.0026 loss: 1.2656 03/04 17:01:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:01:38 - mmengine - INFO - Epoch(train) [44][4800/5005] lr: 1.0000e-02 eta: 1 day, 9:04:44 time: 0.4215 data_time: 0.0026 loss: 1.0939 03/04 17:02:20 - mmengine - INFO - Epoch(train) [44][4900/5005] lr: 1.0000e-02 eta: 1 day, 9:04:01 time: 0.4221 data_time: 0.0027 loss: 1.3371 03/04 17:03:03 - mmengine - INFO - Epoch(train) [44][5000/5005] lr: 1.0000e-02 eta: 1 day, 9:03:18 time: 0.4161 data_time: 0.0024 loss: 1.3658 03/04 17:03:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:03:05 - mmengine - INFO - Saving checkpoint at 44 epochs 03/04 17:03:17 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:00:08 time: 0.0300 data_time: 0.0006 03/04 17:03:31 - mmengine - INFO - Epoch(val) [44][196/196] accuracy/top1: 74.5260 accuracy/top5: 92.4060 03/04 17:04:17 - mmengine - INFO - Epoch(train) [45][ 100/5005] lr: 1.0000e-02 eta: 1 day, 9:02:37 time: 0.4273 data_time: 0.0034 loss: 1.0435 03/04 17:04:59 - mmengine - INFO - Epoch(train) [45][ 200/5005] lr: 1.0000e-02 eta: 1 day, 9:01:55 time: 0.4260 data_time: 0.0030 loss: 1.1388 03/04 17:05:41 - mmengine - INFO - Epoch(train) [45][ 300/5005] lr: 1.0000e-02 eta: 1 day, 9:01:12 time: 0.4262 data_time: 0.0026 loss: 1.1783 03/04 17:06:24 - mmengine - INFO - Epoch(train) [45][ 400/5005] lr: 1.0000e-02 eta: 1 day, 9:00:29 time: 0.4167 data_time: 0.0028 loss: 0.9693 03/04 17:07:06 - mmengine - INFO - Epoch(train) [45][ 500/5005] lr: 1.0000e-02 eta: 1 day, 8:59:46 time: 0.4220 data_time: 0.0029 loss: 0.9737 03/04 17:07:48 - mmengine - INFO - Epoch(train) [45][ 600/5005] lr: 1.0000e-02 eta: 1 day, 8:59:03 time: 0.4206 data_time: 0.0026 loss: 1.2283 03/04 17:08:30 - mmengine - INFO - Epoch(train) [45][ 700/5005] lr: 1.0000e-02 eta: 1 day, 8:58:21 time: 0.4210 data_time: 0.0028 loss: 1.0349 03/04 17:09:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:09:13 - mmengine - INFO - Epoch(train) [45][ 800/5005] lr: 1.0000e-02 eta: 1 day, 8:57:38 time: 0.4247 data_time: 0.0029 loss: 1.1363 03/04 17:09:55 - mmengine - INFO - Epoch(train) [45][ 900/5005] lr: 1.0000e-02 eta: 1 day, 8:56:55 time: 0.4213 data_time: 0.0028 loss: 1.0306 03/04 17:10:37 - mmengine - INFO - Epoch(train) [45][1000/5005] lr: 1.0000e-02 eta: 1 day, 8:56:13 time: 0.4205 data_time: 0.0028 loss: 1.2560 03/04 17:11:20 - mmengine - INFO - Epoch(train) [45][1100/5005] lr: 1.0000e-02 eta: 1 day, 8:55:30 time: 0.4312 data_time: 0.0029 loss: 1.0515 03/04 17:12:02 - mmengine - INFO - Epoch(train) [45][1200/5005] lr: 1.0000e-02 eta: 1 day, 8:54:47 time: 0.4231 data_time: 0.0025 loss: 1.0838 03/04 17:12:45 - mmengine - INFO - Epoch(train) [45][1300/5005] lr: 1.0000e-02 eta: 1 day, 8:54:05 time: 0.4227 data_time: 0.0027 loss: 1.0538 03/04 17:13:27 - mmengine - INFO - Epoch(train) [45][1400/5005] lr: 1.0000e-02 eta: 1 day, 8:53:22 time: 0.4163 data_time: 0.0026 loss: 1.1667 03/04 17:14:09 - mmengine - INFO - Epoch(train) [45][1500/5005] lr: 1.0000e-02 eta: 1 day, 8:52:39 time: 0.4263 data_time: 0.0029 loss: 1.1340 03/04 17:14:52 - mmengine - INFO - Epoch(train) [45][1600/5005] lr: 1.0000e-02 eta: 1 day, 8:51:57 time: 0.4203 data_time: 0.0028 loss: 1.1922 03/04 17:15:34 - mmengine - INFO - Epoch(train) [45][1700/5005] lr: 1.0000e-02 eta: 1 day, 8:51:14 time: 0.4215 data_time: 0.0027 loss: 1.1945 03/04 17:16:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:16:16 - mmengine - INFO - Epoch(train) [45][1800/5005] lr: 1.0000e-02 eta: 1 day, 8:50:31 time: 0.4239 data_time: 0.0027 loss: 1.0896 03/04 17:16:59 - mmengine - INFO - Epoch(train) [45][1900/5005] lr: 1.0000e-02 eta: 1 day, 8:49:49 time: 0.4226 data_time: 0.0029 loss: 1.2053 03/04 17:17:41 - mmengine - INFO - Epoch(train) [45][2000/5005] lr: 1.0000e-02 eta: 1 day, 8:49:06 time: 0.4194 data_time: 0.0026 loss: 1.1357 03/04 17:18:23 - mmengine - INFO - Epoch(train) [45][2100/5005] lr: 1.0000e-02 eta: 1 day, 8:48:23 time: 0.4241 data_time: 0.0027 loss: 1.0622 03/04 17:19:06 - mmengine - INFO - Epoch(train) [45][2200/5005] lr: 1.0000e-02 eta: 1 day, 8:47:40 time: 0.4210 data_time: 0.0026 loss: 1.1675 03/04 17:19:48 - mmengine - INFO - Epoch(train) [45][2300/5005] lr: 1.0000e-02 eta: 1 day, 8:46:57 time: 0.4189 data_time: 0.0027 loss: 1.2117 03/04 17:20:30 - mmengine - INFO - Epoch(train) [45][2400/5005] lr: 1.0000e-02 eta: 1 day, 8:46:15 time: 0.4254 data_time: 0.0030 loss: 1.3244 03/04 17:21:13 - mmengine - INFO - Epoch(train) [45][2500/5005] lr: 1.0000e-02 eta: 1 day, 8:45:32 time: 0.4265 data_time: 0.0026 loss: 1.0377 03/04 17:21:55 - mmengine - INFO - Epoch(train) [45][2600/5005] lr: 1.0000e-02 eta: 1 day, 8:44:49 time: 0.4221 data_time: 0.0027 loss: 0.9871 03/04 17:22:37 - mmengine - INFO - Epoch(train) [45][2700/5005] lr: 1.0000e-02 eta: 1 day, 8:44:07 time: 0.4189 data_time: 0.0026 loss: 1.2779 03/04 17:23:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:23:19 - mmengine - INFO - Epoch(train) [45][2800/5005] lr: 1.0000e-02 eta: 1 day, 8:43:24 time: 0.4222 data_time: 0.0027 loss: 1.0323 03/04 17:24:02 - mmengine - INFO - Epoch(train) [45][2900/5005] lr: 1.0000e-02 eta: 1 day, 8:42:41 time: 0.4214 data_time: 0.0026 loss: 1.3200 03/04 17:24:44 - mmengine - INFO - Epoch(train) [45][3000/5005] lr: 1.0000e-02 eta: 1 day, 8:41:58 time: 0.4197 data_time: 0.0028 loss: 1.0505 03/04 17:25:26 - mmengine - INFO - Epoch(train) [45][3100/5005] lr: 1.0000e-02 eta: 1 day, 8:41:16 time: 0.4224 data_time: 0.0028 loss: 1.0796 03/04 17:26:08 - mmengine - INFO - Epoch(train) [45][3200/5005] lr: 1.0000e-02 eta: 1 day, 8:40:33 time: 0.4239 data_time: 0.0027 loss: 1.1604 03/04 17:26:51 - mmengine - INFO - Epoch(train) [45][3300/5005] lr: 1.0000e-02 eta: 1 day, 8:39:50 time: 0.4225 data_time: 0.0028 loss: 1.0649 03/04 17:27:33 - mmengine - INFO - Epoch(train) [45][3400/5005] lr: 1.0000e-02 eta: 1 day, 8:39:08 time: 0.4281 data_time: 0.0028 loss: 1.0247 03/04 17:28:16 - mmengine - INFO - Epoch(train) [45][3500/5005] lr: 1.0000e-02 eta: 1 day, 8:38:25 time: 0.4232 data_time: 0.0028 loss: 1.2857 03/04 17:28:58 - mmengine - INFO - Epoch(train) [45][3600/5005] lr: 1.0000e-02 eta: 1 day, 8:37:42 time: 0.4160 data_time: 0.0027 loss: 1.2590 03/04 17:29:40 - mmengine - INFO - Epoch(train) [45][3700/5005] lr: 1.0000e-02 eta: 1 day, 8:37:00 time: 0.4220 data_time: 0.0027 loss: 1.2055 03/04 17:30:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:30:23 - mmengine - INFO - Epoch(train) [45][3800/5005] lr: 1.0000e-02 eta: 1 day, 8:36:17 time: 0.4207 data_time: 0.0027 loss: 1.3362 03/04 17:31:05 - mmengine - INFO - Epoch(train) [45][3900/5005] lr: 1.0000e-02 eta: 1 day, 8:35:34 time: 0.4197 data_time: 0.0027 loss: 1.2569 03/04 17:31:47 - mmengine - INFO - Epoch(train) [45][4000/5005] lr: 1.0000e-02 eta: 1 day, 8:34:51 time: 0.4224 data_time: 0.0027 loss: 1.1682 03/04 17:32:30 - mmengine - INFO - Epoch(train) [45][4100/5005] lr: 1.0000e-02 eta: 1 day, 8:34:09 time: 0.4263 data_time: 0.0026 loss: 1.1026 03/04 17:33:12 - mmengine - INFO - Epoch(train) [45][4200/5005] lr: 1.0000e-02 eta: 1 day, 8:33:26 time: 0.4239 data_time: 0.0028 loss: 1.1901 03/04 17:33:54 - mmengine - INFO - Epoch(train) [45][4300/5005] lr: 1.0000e-02 eta: 1 day, 8:32:43 time: 0.4260 data_time: 0.0028 loss: 1.3243 03/04 17:34:37 - mmengine - INFO - Epoch(train) [45][4400/5005] lr: 1.0000e-02 eta: 1 day, 8:32:01 time: 0.4220 data_time: 0.0026 loss: 1.2340 03/04 17:35:19 - mmengine - INFO - Epoch(train) [45][4500/5005] lr: 1.0000e-02 eta: 1 day, 8:31:18 time: 0.4208 data_time: 0.0028 loss: 1.2226 03/04 17:36:01 - mmengine - INFO - Epoch(train) [45][4600/5005] lr: 1.0000e-02 eta: 1 day, 8:30:35 time: 0.4199 data_time: 0.0027 loss: 1.3585 03/04 17:36:44 - mmengine - INFO - Epoch(train) [45][4700/5005] lr: 1.0000e-02 eta: 1 day, 8:29:53 time: 0.4254 data_time: 0.0027 loss: 1.1101 03/04 17:37:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:37:26 - mmengine - INFO - Epoch(train) [45][4800/5005] lr: 1.0000e-02 eta: 1 day, 8:29:10 time: 0.4243 data_time: 0.0028 loss: 1.1937 03/04 17:38:09 - mmengine - INFO - Epoch(train) [45][4900/5005] lr: 1.0000e-02 eta: 1 day, 8:28:28 time: 0.4255 data_time: 0.0028 loss: 1.1357 03/04 17:38:51 - mmengine - INFO - Epoch(train) [45][5000/5005] lr: 1.0000e-02 eta: 1 day, 8:27:45 time: 0.4194 data_time: 0.0025 loss: 1.2325 03/04 17:38:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:38:54 - mmengine - INFO - Saving checkpoint at 45 epochs 03/04 17:39:06 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:00:09 time: 0.0292 data_time: 0.0005 03/04 17:39:20 - mmengine - INFO - Epoch(val) [45][196/196] accuracy/top1: 74.3440 accuracy/top5: 92.3480 03/04 17:40:05 - mmengine - INFO - Epoch(train) [46][ 100/5005] lr: 1.0000e-02 eta: 1 day, 8:27:04 time: 0.4248 data_time: 0.0028 loss: 1.1302 03/04 17:40:48 - mmengine - INFO - Epoch(train) [46][ 200/5005] lr: 1.0000e-02 eta: 1 day, 8:26:22 time: 0.4245 data_time: 0.0026 loss: 1.0792 03/04 17:41:31 - mmengine - INFO - Epoch(train) [46][ 300/5005] lr: 1.0000e-02 eta: 1 day, 8:25:39 time: 0.4284 data_time: 0.0028 loss: 1.1202 03/04 17:42:13 - mmengine - INFO - Epoch(train) [46][ 400/5005] lr: 1.0000e-02 eta: 1 day, 8:24:57 time: 0.4220 data_time: 0.0027 loss: 1.1703 03/04 17:42:55 - mmengine - INFO - Epoch(train) [46][ 500/5005] lr: 1.0000e-02 eta: 1 day, 8:24:14 time: 0.4212 data_time: 0.0028 loss: 1.0346 03/04 17:43:38 - mmengine - INFO - Epoch(train) [46][ 600/5005] lr: 1.0000e-02 eta: 1 day, 8:23:32 time: 0.4222 data_time: 0.0030 loss: 1.2503 03/04 17:44:21 - mmengine - INFO - Epoch(train) [46][ 700/5005] lr: 1.0000e-02 eta: 1 day, 8:22:49 time: 0.4237 data_time: 0.0026 loss: 1.1821 03/04 17:44:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:45:03 - mmengine - INFO - Epoch(train) [46][ 800/5005] lr: 1.0000e-02 eta: 1 day, 8:22:07 time: 0.4237 data_time: 0.0027 loss: 1.0294 03/04 17:45:46 - mmengine - INFO - Epoch(train) [46][ 900/5005] lr: 1.0000e-02 eta: 1 day, 8:21:24 time: 0.4183 data_time: 0.0028 loss: 1.4353 03/04 17:46:28 - mmengine - INFO - Epoch(train) [46][1000/5005] lr: 1.0000e-02 eta: 1 day, 8:20:42 time: 0.4234 data_time: 0.0027 loss: 1.0247 03/04 17:47:11 - mmengine - INFO - Epoch(train) [46][1100/5005] lr: 1.0000e-02 eta: 1 day, 8:19:59 time: 0.4228 data_time: 0.0028 loss: 1.1044 03/04 17:47:53 - mmengine - INFO - Epoch(train) [46][1200/5005] lr: 1.0000e-02 eta: 1 day, 8:19:17 time: 0.4164 data_time: 0.0027 loss: 1.0407 03/04 17:48:35 - mmengine - INFO - Epoch(train) [46][1300/5005] lr: 1.0000e-02 eta: 1 day, 8:18:34 time: 0.4199 data_time: 0.0028 loss: 1.2296 03/04 17:49:17 - mmengine - INFO - Epoch(train) [46][1400/5005] lr: 1.0000e-02 eta: 1 day, 8:17:51 time: 0.4174 data_time: 0.0028 loss: 1.1555 03/04 17:50:00 - mmengine - INFO - Epoch(train) [46][1500/5005] lr: 1.0000e-02 eta: 1 day, 8:17:08 time: 0.4195 data_time: 0.0028 loss: 1.2943 03/04 17:50:42 - mmengine - INFO - Epoch(train) [46][1600/5005] lr: 1.0000e-02 eta: 1 day, 8:16:26 time: 0.4261 data_time: 0.0027 loss: 1.2340 03/04 17:51:25 - mmengine - INFO - Epoch(train) [46][1700/5005] lr: 1.0000e-02 eta: 1 day, 8:15:43 time: 0.4269 data_time: 0.0028 loss: 1.2055 03/04 17:51:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:52:07 - mmengine - INFO - Epoch(train) [46][1800/5005] lr: 1.0000e-02 eta: 1 day, 8:15:01 time: 0.4203 data_time: 0.0028 loss: 1.0707 03/04 17:52:50 - mmengine - INFO - Epoch(train) [46][1900/5005] lr: 1.0000e-02 eta: 1 day, 8:14:18 time: 0.4174 data_time: 0.0027 loss: 1.3015 03/04 17:53:32 - mmengine - INFO - Epoch(train) [46][2000/5005] lr: 1.0000e-02 eta: 1 day, 8:13:35 time: 0.4225 data_time: 0.0027 loss: 1.3799 03/04 17:54:14 - mmengine - INFO - Epoch(train) [46][2100/5005] lr: 1.0000e-02 eta: 1 day, 8:12:53 time: 0.4252 data_time: 0.0027 loss: 1.1721 03/04 17:54:56 - mmengine - INFO - Epoch(train) [46][2200/5005] lr: 1.0000e-02 eta: 1 day, 8:12:10 time: 0.4217 data_time: 0.0028 loss: 1.2359 03/04 17:55:39 - mmengine - INFO - Epoch(train) [46][2300/5005] lr: 1.0000e-02 eta: 1 day, 8:11:27 time: 0.4221 data_time: 0.0027 loss: 1.2606 03/04 17:56:21 - mmengine - INFO - Epoch(train) [46][2400/5005] lr: 1.0000e-02 eta: 1 day, 8:10:45 time: 0.4193 data_time: 0.0030 loss: 1.0623 03/04 17:57:04 - mmengine - INFO - Epoch(train) [46][2500/5005] lr: 1.0000e-02 eta: 1 day, 8:10:02 time: 0.4290 data_time: 0.0028 loss: 1.2744 03/04 17:57:46 - mmengine - INFO - Epoch(train) [46][2600/5005] lr: 1.0000e-02 eta: 1 day, 8:09:19 time: 0.4291 data_time: 0.0029 loss: 1.3313 03/04 17:58:29 - mmengine - INFO - Epoch(train) [46][2700/5005] lr: 1.0000e-02 eta: 1 day, 8:08:37 time: 0.4226 data_time: 0.0028 loss: 1.2972 03/04 17:59:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 17:59:11 - mmengine - INFO - Epoch(train) [46][2800/5005] lr: 1.0000e-02 eta: 1 day, 8:07:55 time: 0.4271 data_time: 0.0028 loss: 1.1792 03/04 17:59:54 - mmengine - INFO - Epoch(train) [46][2900/5005] lr: 1.0000e-02 eta: 1 day, 8:07:12 time: 0.4276 data_time: 0.0028 loss: 1.2349 03/04 18:00:36 - mmengine - INFO - Epoch(train) [46][3000/5005] lr: 1.0000e-02 eta: 1 day, 8:06:29 time: 0.4210 data_time: 0.0027 loss: 1.2360 03/04 18:01:18 - mmengine - INFO - Epoch(train) [46][3100/5005] lr: 1.0000e-02 eta: 1 day, 8:05:47 time: 0.4239 data_time: 0.0028 loss: 0.9800 03/04 18:02:01 - mmengine - INFO - Epoch(train) [46][3200/5005] lr: 1.0000e-02 eta: 1 day, 8:05:04 time: 0.4209 data_time: 0.0028 loss: 1.1684 03/04 18:02:43 - mmengine - INFO - Epoch(train) [46][3300/5005] lr: 1.0000e-02 eta: 1 day, 8:04:22 time: 0.4296 data_time: 0.0027 loss: 1.0690 03/04 18:03:26 - mmengine - INFO - Epoch(train) [46][3400/5005] lr: 1.0000e-02 eta: 1 day, 8:03:39 time: 0.4257 data_time: 0.0028 loss: 1.0042 03/04 18:04:08 - mmengine - INFO - Epoch(train) [46][3500/5005] lr: 1.0000e-02 eta: 1 day, 8:02:56 time: 0.4218 data_time: 0.0027 loss: 1.1927 03/04 18:04:50 - mmengine - INFO - Epoch(train) [46][3600/5005] lr: 1.0000e-02 eta: 1 day, 8:02:14 time: 0.4228 data_time: 0.0027 loss: 1.0938 03/04 18:05:33 - mmengine - INFO - Epoch(train) [46][3700/5005] lr: 1.0000e-02 eta: 1 day, 8:01:31 time: 0.4244 data_time: 0.0026 loss: 0.9988 03/04 18:06:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:06:15 - mmengine - INFO - Epoch(train) [46][3800/5005] lr: 1.0000e-02 eta: 1 day, 8:00:49 time: 0.4182 data_time: 0.0030 loss: 1.1856 03/04 18:06:58 - mmengine - INFO - Epoch(train) [46][3900/5005] lr: 1.0000e-02 eta: 1 day, 8:00:06 time: 0.4259 data_time: 0.0027 loss: 1.0871 03/04 18:07:40 - mmengine - INFO - Epoch(train) [46][4000/5005] lr: 1.0000e-02 eta: 1 day, 7:59:24 time: 0.4238 data_time: 0.0028 loss: 1.2465 03/04 18:08:23 - mmengine - INFO - Epoch(train) [46][4100/5005] lr: 1.0000e-02 eta: 1 day, 7:58:41 time: 0.4212 data_time: 0.0027 loss: 1.2370 03/04 18:09:05 - mmengine - INFO - Epoch(train) [46][4200/5005] lr: 1.0000e-02 eta: 1 day, 7:57:58 time: 0.4260 data_time: 0.0029 loss: 1.1951 03/04 18:09:48 - mmengine - INFO - Epoch(train) [46][4300/5005] lr: 1.0000e-02 eta: 1 day, 7:57:16 time: 0.4192 data_time: 0.0027 loss: 1.0818 03/04 18:10:30 - mmengine - INFO - Epoch(train) [46][4400/5005] lr: 1.0000e-02 eta: 1 day, 7:56:33 time: 0.4202 data_time: 0.0027 loss: 1.0948 03/04 18:11:12 - mmengine - INFO - Epoch(train) [46][4500/5005] lr: 1.0000e-02 eta: 1 day, 7:55:51 time: 0.4214 data_time: 0.0027 loss: 1.1159 03/04 18:11:55 - mmengine - INFO - Epoch(train) [46][4600/5005] lr: 1.0000e-02 eta: 1 day, 7:55:08 time: 0.4222 data_time: 0.0027 loss: 1.2553 03/04 18:12:37 - mmengine - INFO - Epoch(train) [46][4700/5005] lr: 1.0000e-02 eta: 1 day, 7:54:25 time: 0.4191 data_time: 0.0029 loss: 1.1081 03/04 18:13:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:13:19 - mmengine - INFO - Epoch(train) [46][4800/5005] lr: 1.0000e-02 eta: 1 day, 7:53:43 time: 0.4238 data_time: 0.0027 loss: 1.1384 03/04 18:14:02 - mmengine - INFO - Epoch(train) [46][4900/5005] lr: 1.0000e-02 eta: 1 day, 7:53:00 time: 0.4232 data_time: 0.0027 loss: 1.0577 03/04 18:14:44 - mmengine - INFO - Epoch(train) [46][5000/5005] lr: 1.0000e-02 eta: 1 day, 7:52:18 time: 0.4181 data_time: 0.0024 loss: 1.1121 03/04 18:14:46 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:14:47 - mmengine - INFO - Saving checkpoint at 46 epochs 03/04 18:14:59 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:00:08 time: 0.0296 data_time: 0.0005 03/04 18:15:13 - mmengine - INFO - Epoch(val) [46][196/196] accuracy/top1: 74.5660 accuracy/top5: 92.3920 03/04 18:15:59 - mmengine - INFO - Epoch(train) [47][ 100/5005] lr: 1.0000e-02 eta: 1 day, 7:51:37 time: 0.4249 data_time: 0.0034 loss: 1.4051 03/04 18:16:41 - mmengine - INFO - Epoch(train) [47][ 200/5005] lr: 1.0000e-02 eta: 1 day, 7:50:54 time: 0.4260 data_time: 0.0035 loss: 1.1112 03/04 18:17:24 - mmengine - INFO - Epoch(train) [47][ 300/5005] lr: 1.0000e-02 eta: 1 day, 7:50:12 time: 0.4207 data_time: 0.0028 loss: 1.1662 03/04 18:18:07 - mmengine - INFO - Epoch(train) [47][ 400/5005] lr: 1.0000e-02 eta: 1 day, 7:49:30 time: 0.4175 data_time: 0.0028 loss: 1.0439 03/04 18:18:49 - mmengine - INFO - Epoch(train) [47][ 500/5005] lr: 1.0000e-02 eta: 1 day, 7:48:47 time: 0.4195 data_time: 0.0028 loss: 1.0842 03/04 18:19:31 - mmengine - INFO - Epoch(train) [47][ 600/5005] lr: 1.0000e-02 eta: 1 day, 7:48:04 time: 0.4166 data_time: 0.0029 loss: 1.1595 03/04 18:20:14 - mmengine - INFO - Epoch(train) [47][ 700/5005] lr: 1.0000e-02 eta: 1 day, 7:47:22 time: 0.4213 data_time: 0.0030 loss: 1.1396 03/04 18:20:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:20:57 - mmengine - INFO - Epoch(train) [47][ 800/5005] lr: 1.0000e-02 eta: 1 day, 7:46:40 time: 0.4224 data_time: 0.0028 loss: 1.1583 03/04 18:21:39 - mmengine - INFO - Epoch(train) [47][ 900/5005] lr: 1.0000e-02 eta: 1 day, 7:45:57 time: 0.4231 data_time: 0.0029 loss: 1.0689 03/04 18:22:22 - mmengine - INFO - Epoch(train) [47][1000/5005] lr: 1.0000e-02 eta: 1 day, 7:45:15 time: 0.4227 data_time: 0.0030 loss: 1.1153 03/04 18:23:04 - mmengine - INFO - Epoch(train) [47][1100/5005] lr: 1.0000e-02 eta: 1 day, 7:44:32 time: 0.4279 data_time: 0.0029 loss: 1.0668 03/04 18:23:47 - mmengine - INFO - Epoch(train) [47][1200/5005] lr: 1.0000e-02 eta: 1 day, 7:43:50 time: 0.4298 data_time: 0.0026 loss: 1.1449 03/04 18:24:29 - mmengine - INFO - Epoch(train) [47][1300/5005] lr: 1.0000e-02 eta: 1 day, 7:43:07 time: 0.4238 data_time: 0.0026 loss: 1.2136 03/04 18:25:12 - mmengine - INFO - Epoch(train) [47][1400/5005] lr: 1.0000e-02 eta: 1 day, 7:42:25 time: 0.4239 data_time: 0.0027 loss: 0.9947 03/04 18:25:54 - mmengine - INFO - Epoch(train) [47][1500/5005] lr: 1.0000e-02 eta: 1 day, 7:41:42 time: 0.4286 data_time: 0.0027 loss: 1.2575 03/04 18:26:37 - mmengine - INFO - Epoch(train) [47][1600/5005] lr: 1.0000e-02 eta: 1 day, 7:41:00 time: 0.4237 data_time: 0.0027 loss: 1.2822 03/04 18:27:19 - mmengine - INFO - Epoch(train) [47][1700/5005] lr: 1.0000e-02 eta: 1 day, 7:40:17 time: 0.4237 data_time: 0.0027 loss: 1.1846 03/04 18:27:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:28:01 - mmengine - INFO - Epoch(train) [47][1800/5005] lr: 1.0000e-02 eta: 1 day, 7:39:34 time: 0.4212 data_time: 0.0029 loss: 1.2171 03/04 18:28:44 - mmengine - INFO - Epoch(train) [47][1900/5005] lr: 1.0000e-02 eta: 1 day, 7:38:52 time: 0.4231 data_time: 0.0027 loss: 1.1525 03/04 18:29:26 - mmengine - INFO - Epoch(train) [47][2000/5005] lr: 1.0000e-02 eta: 1 day, 7:38:09 time: 0.4216 data_time: 0.0028 loss: 1.0207 03/04 18:30:09 - mmengine - INFO - Epoch(train) [47][2100/5005] lr: 1.0000e-02 eta: 1 day, 7:37:27 time: 0.4229 data_time: 0.0032 loss: 1.1423 03/04 18:30:51 - mmengine - INFO - Epoch(train) [47][2200/5005] lr: 1.0000e-02 eta: 1 day, 7:36:44 time: 0.4191 data_time: 0.0028 loss: 1.0961 03/04 18:31:34 - mmengine - INFO - Epoch(train) [47][2300/5005] lr: 1.0000e-02 eta: 1 day, 7:36:02 time: 0.4269 data_time: 0.0027 loss: 1.2303 03/04 18:32:16 - mmengine - INFO - Epoch(train) [47][2400/5005] lr: 1.0000e-02 eta: 1 day, 7:35:19 time: 0.4194 data_time: 0.0027 loss: 1.4185 03/04 18:32:58 - mmengine - INFO - Epoch(train) [47][2500/5005] lr: 1.0000e-02 eta: 1 day, 7:34:36 time: 0.4228 data_time: 0.0028 loss: 1.1822 03/04 18:33:41 - mmengine - INFO - Epoch(train) [47][2600/5005] lr: 1.0000e-02 eta: 1 day, 7:33:54 time: 0.4217 data_time: 0.0029 loss: 1.1675 03/04 18:34:23 - mmengine - INFO - Epoch(train) [47][2700/5005] lr: 1.0000e-02 eta: 1 day, 7:33:11 time: 0.4237 data_time: 0.0026 loss: 1.3353 03/04 18:34:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:35:06 - mmengine - INFO - Epoch(train) [47][2800/5005] lr: 1.0000e-02 eta: 1 day, 7:32:29 time: 0.4215 data_time: 0.0027 loss: 1.0973 03/04 18:35:48 - mmengine - INFO - Epoch(train) [47][2900/5005] lr: 1.0000e-02 eta: 1 day, 7:31:46 time: 0.4242 data_time: 0.0027 loss: 1.1913 03/04 18:36:31 - mmengine - INFO - Epoch(train) [47][3000/5005] lr: 1.0000e-02 eta: 1 day, 7:31:04 time: 0.4264 data_time: 0.0028 loss: 1.1710 03/04 18:37:13 - mmengine - INFO - Epoch(train) [47][3100/5005] lr: 1.0000e-02 eta: 1 day, 7:30:21 time: 0.4227 data_time: 0.0028 loss: 1.3499 03/04 18:37:56 - mmengine - INFO - Epoch(train) [47][3200/5005] lr: 1.0000e-02 eta: 1 day, 7:29:39 time: 0.4292 data_time: 0.0026 loss: 1.3014 03/04 18:38:38 - mmengine - INFO - Epoch(train) [47][3300/5005] lr: 1.0000e-02 eta: 1 day, 7:28:56 time: 0.4207 data_time: 0.0027 loss: 1.1508 03/04 18:39:20 - mmengine - INFO - Epoch(train) [47][3400/5005] lr: 1.0000e-02 eta: 1 day, 7:28:14 time: 0.4191 data_time: 0.0028 loss: 1.0276 03/04 18:40:03 - mmengine - INFO - Epoch(train) [47][3500/5005] lr: 1.0000e-02 eta: 1 day, 7:27:31 time: 0.4238 data_time: 0.0028 loss: 1.3199 03/04 18:40:45 - mmengine - INFO - Epoch(train) [47][3600/5005] lr: 1.0000e-02 eta: 1 day, 7:26:48 time: 0.4227 data_time: 0.0028 loss: 1.1501 03/04 18:41:28 - mmengine - INFO - Epoch(train) [47][3700/5005] lr: 1.0000e-02 eta: 1 day, 7:26:06 time: 0.4240 data_time: 0.0028 loss: 1.0618 03/04 18:41:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:42:10 - mmengine - INFO - Epoch(train) [47][3800/5005] lr: 1.0000e-02 eta: 1 day, 7:25:23 time: 0.4265 data_time: 0.0029 loss: 1.2353 03/04 18:42:53 - mmengine - INFO - Epoch(train) [47][3900/5005] lr: 1.0000e-02 eta: 1 day, 7:24:41 time: 0.4282 data_time: 0.0029 loss: 1.2778 03/04 18:43:35 - mmengine - INFO - Epoch(train) [47][4000/5005] lr: 1.0000e-02 eta: 1 day, 7:23:58 time: 0.4240 data_time: 0.0028 loss: 1.0858 03/04 18:44:17 - mmengine - INFO - Epoch(train) [47][4100/5005] lr: 1.0000e-02 eta: 1 day, 7:23:15 time: 0.4207 data_time: 0.0028 loss: 1.2403 03/04 18:45:00 - mmengine - INFO - Epoch(train) [47][4200/5005] lr: 1.0000e-02 eta: 1 day, 7:22:33 time: 0.4331 data_time: 0.0027 loss: 1.2241 03/04 18:45:42 - mmengine - INFO - Epoch(train) [47][4300/5005] lr: 1.0000e-02 eta: 1 day, 7:21:51 time: 0.4256 data_time: 0.0030 loss: 1.0851 03/04 18:46:25 - mmengine - INFO - Epoch(train) [47][4400/5005] lr: 1.0000e-02 eta: 1 day, 7:21:08 time: 0.4245 data_time: 0.0028 loss: 1.2893 03/04 18:47:07 - mmengine - INFO - Epoch(train) [47][4500/5005] lr: 1.0000e-02 eta: 1 day, 7:20:25 time: 0.4217 data_time: 0.0027 loss: 1.1509 03/04 18:47:50 - mmengine - INFO - Epoch(train) [47][4600/5005] lr: 1.0000e-02 eta: 1 day, 7:19:43 time: 0.4241 data_time: 0.0029 loss: 1.2766 03/04 18:48:33 - mmengine - INFO - Epoch(train) [47][4700/5005] lr: 1.0000e-02 eta: 1 day, 7:19:01 time: 0.4280 data_time: 0.0028 loss: 1.0988 03/04 18:49:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:49:15 - mmengine - INFO - Epoch(train) [47][4800/5005] lr: 1.0000e-02 eta: 1 day, 7:18:18 time: 0.4268 data_time: 0.0028 loss: 1.1933 03/04 18:49:58 - mmengine - INFO - Epoch(train) [47][4900/5005] lr: 1.0000e-02 eta: 1 day, 7:17:36 time: 0.4221 data_time: 0.0027 loss: 0.9832 03/04 18:50:40 - mmengine - INFO - Epoch(train) [47][5000/5005] lr: 1.0000e-02 eta: 1 day, 7:16:53 time: 0.4184 data_time: 0.0024 loss: 1.1899 03/04 18:50:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:50:43 - mmengine - INFO - Saving checkpoint at 47 epochs 03/04 18:50:54 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:00:08 time: 0.0279 data_time: 0.0004 03/04 18:51:08 - mmengine - INFO - Epoch(val) [47][196/196] accuracy/top1: 74.2920 accuracy/top5: 92.3820 03/04 18:51:54 - mmengine - INFO - Epoch(train) [48][ 100/5005] lr: 1.0000e-02 eta: 1 day, 7:16:12 time: 0.4228 data_time: 0.0029 loss: 1.1814 03/04 18:52:37 - mmengine - INFO - Epoch(train) [48][ 200/5005] lr: 1.0000e-02 eta: 1 day, 7:15:30 time: 0.4263 data_time: 0.0028 loss: 1.0372 03/04 18:53:19 - mmengine - INFO - Epoch(train) [48][ 300/5005] lr: 1.0000e-02 eta: 1 day, 7:14:47 time: 0.4250 data_time: 0.0028 loss: 0.9825 03/04 18:54:01 - mmengine - INFO - Epoch(train) [48][ 400/5005] lr: 1.0000e-02 eta: 1 day, 7:14:04 time: 0.4204 data_time: 0.0033 loss: 1.2328 03/04 18:54:44 - mmengine - INFO - Epoch(train) [48][ 500/5005] lr: 1.0000e-02 eta: 1 day, 7:13:22 time: 0.4270 data_time: 0.0030 loss: 1.1252 03/04 18:55:27 - mmengine - INFO - Epoch(train) [48][ 600/5005] lr: 1.0000e-02 eta: 1 day, 7:12:40 time: 0.4255 data_time: 0.0029 loss: 0.9878 03/04 18:56:10 - mmengine - INFO - Epoch(train) [48][ 700/5005] lr: 1.0000e-02 eta: 1 day, 7:11:58 time: 0.4296 data_time: 0.0029 loss: 1.1104 03/04 18:56:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 18:56:52 - mmengine - INFO - Epoch(train) [48][ 800/5005] lr: 1.0000e-02 eta: 1 day, 7:11:15 time: 0.4271 data_time: 0.0028 loss: 1.1410 03/04 18:57:34 - mmengine - INFO - Epoch(train) [48][ 900/5005] lr: 1.0000e-02 eta: 1 day, 7:10:33 time: 0.4290 data_time: 0.0030 loss: 1.0848 03/04 18:58:17 - mmengine - INFO - Epoch(train) [48][1000/5005] lr: 1.0000e-02 eta: 1 day, 7:09:50 time: 0.4246 data_time: 0.0027 loss: 1.2963 03/04 18:58:59 - mmengine - INFO - Epoch(train) [48][1100/5005] lr: 1.0000e-02 eta: 1 day, 7:09:07 time: 0.4237 data_time: 0.0027 loss: 1.1563 03/04 18:59:41 - mmengine - INFO - Epoch(train) [48][1200/5005] lr: 1.0000e-02 eta: 1 day, 7:08:24 time: 0.4216 data_time: 0.0027 loss: 0.9852 03/04 19:00:24 - mmengine - INFO - Epoch(train) [48][1300/5005] lr: 1.0000e-02 eta: 1 day, 7:07:42 time: 0.4216 data_time: 0.0028 loss: 1.1326 03/04 19:01:06 - mmengine - INFO - Epoch(train) [48][1400/5005] lr: 1.0000e-02 eta: 1 day, 7:06:59 time: 0.4213 data_time: 0.0028 loss: 1.2961 03/04 19:01:48 - mmengine - INFO - Epoch(train) [48][1500/5005] lr: 1.0000e-02 eta: 1 day, 7:06:16 time: 0.4204 data_time: 0.0028 loss: 1.1721 03/04 19:02:31 - mmengine - INFO - Epoch(train) [48][1600/5005] lr: 1.0000e-02 eta: 1 day, 7:05:34 time: 0.4228 data_time: 0.0031 loss: 1.0837 03/04 19:03:13 - mmengine - INFO - Epoch(train) [48][1700/5005] lr: 1.0000e-02 eta: 1 day, 7:04:51 time: 0.4202 data_time: 0.0029 loss: 1.0763 03/04 19:03:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:03:56 - mmengine - INFO - Epoch(train) [48][1800/5005] lr: 1.0000e-02 eta: 1 day, 7:04:09 time: 0.4237 data_time: 0.0028 loss: 1.2756 03/04 19:04:38 - mmengine - INFO - Epoch(train) [48][1900/5005] lr: 1.0000e-02 eta: 1 day, 7:03:26 time: 0.4196 data_time: 0.0029 loss: 1.2128 03/04 19:05:20 - mmengine - INFO - Epoch(train) [48][2000/5005] lr: 1.0000e-02 eta: 1 day, 7:02:43 time: 0.4315 data_time: 0.0027 loss: 1.0790 03/04 19:06:03 - mmengine - INFO - Epoch(train) [48][2100/5005] lr: 1.0000e-02 eta: 1 day, 7:02:01 time: 0.4228 data_time: 0.0027 loss: 1.2953 03/04 19:06:45 - mmengine - INFO - Epoch(train) [48][2200/5005] lr: 1.0000e-02 eta: 1 day, 7:01:18 time: 0.4183 data_time: 0.0026 loss: 1.1313 03/04 19:07:27 - mmengine - INFO - Epoch(train) [48][2300/5005] lr: 1.0000e-02 eta: 1 day, 7:00:35 time: 0.4205 data_time: 0.0027 loss: 1.1097 03/04 19:08:10 - mmengine - INFO - Epoch(train) [48][2400/5005] lr: 1.0000e-02 eta: 1 day, 6:59:53 time: 0.4235 data_time: 0.0028 loss: 1.2371 03/04 19:08:52 - mmengine - INFO - Epoch(train) [48][2500/5005] lr: 1.0000e-02 eta: 1 day, 6:59:10 time: 0.4261 data_time: 0.0030 loss: 1.1490 03/04 19:09:34 - mmengine - INFO - Epoch(train) [48][2600/5005] lr: 1.0000e-02 eta: 1 day, 6:58:27 time: 0.4237 data_time: 0.0029 loss: 1.0996 03/04 19:10:17 - mmengine - INFO - Epoch(train) [48][2700/5005] lr: 1.0000e-02 eta: 1 day, 6:57:45 time: 0.4211 data_time: 0.0026 loss: 1.2124 03/04 19:10:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:10:59 - mmengine - INFO - Epoch(train) [48][2800/5005] lr: 1.0000e-02 eta: 1 day, 6:57:02 time: 0.4231 data_time: 0.0027 loss: 1.2637 03/04 19:11:41 - mmengine - INFO - Epoch(train) [48][2900/5005] lr: 1.0000e-02 eta: 1 day, 6:56:19 time: 0.4173 data_time: 0.0027 loss: 0.9466 03/04 19:12:24 - mmengine - INFO - Epoch(train) [48][3000/5005] lr: 1.0000e-02 eta: 1 day, 6:55:37 time: 0.4215 data_time: 0.0026 loss: 1.0124 03/04 19:13:06 - mmengine - INFO - Epoch(train) [48][3100/5005] lr: 1.0000e-02 eta: 1 day, 6:54:54 time: 0.4193 data_time: 0.0028 loss: 1.0412 03/04 19:13:49 - mmengine - INFO - Epoch(train) [48][3200/5005] lr: 1.0000e-02 eta: 1 day, 6:54:12 time: 0.4221 data_time: 0.0028 loss: 1.1377 03/04 19:14:31 - mmengine - INFO - Epoch(train) [48][3300/5005] lr: 1.0000e-02 eta: 1 day, 6:53:29 time: 0.4203 data_time: 0.0027 loss: 1.2252 03/04 19:15:14 - mmengine - INFO - Epoch(train) [48][3400/5005] lr: 1.0000e-02 eta: 1 day, 6:52:47 time: 0.4320 data_time: 0.0030 loss: 1.0274 03/04 19:15:56 - mmengine - INFO - Epoch(train) [48][3500/5005] lr: 1.0000e-02 eta: 1 day, 6:52:04 time: 0.4229 data_time: 0.0027 loss: 1.2176 03/04 19:16:39 - mmengine - INFO - Epoch(train) [48][3600/5005] lr: 1.0000e-02 eta: 1 day, 6:51:22 time: 0.4186 data_time: 0.0028 loss: 1.3354 03/04 19:17:21 - mmengine - INFO - Epoch(train) [48][3700/5005] lr: 1.0000e-02 eta: 1 day, 6:50:39 time: 0.4225 data_time: 0.0029 loss: 1.1891 03/04 19:17:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:18:04 - mmengine - INFO - Epoch(train) [48][3800/5005] lr: 1.0000e-02 eta: 1 day, 6:49:57 time: 0.4250 data_time: 0.0028 loss: 1.2746 03/04 19:18:46 - mmengine - INFO - Epoch(train) [48][3900/5005] lr: 1.0000e-02 eta: 1 day, 6:49:14 time: 0.4318 data_time: 0.0029 loss: 1.2456 03/04 19:19:29 - mmengine - INFO - Epoch(train) [48][4000/5005] lr: 1.0000e-02 eta: 1 day, 6:48:32 time: 0.4383 data_time: 0.0027 loss: 1.0431 03/04 19:20:11 - mmengine - INFO - Epoch(train) [48][4100/5005] lr: 1.0000e-02 eta: 1 day, 6:47:49 time: 0.4237 data_time: 0.0029 loss: 1.1616 03/04 19:20:54 - mmengine - INFO - Epoch(train) [48][4200/5005] lr: 1.0000e-02 eta: 1 day, 6:47:07 time: 0.4230 data_time: 0.0028 loss: 1.2920 03/04 19:21:36 - mmengine - INFO - Epoch(train) [48][4300/5005] lr: 1.0000e-02 eta: 1 day, 6:46:24 time: 0.4245 data_time: 0.0029 loss: 1.1680 03/04 19:22:19 - mmengine - INFO - Epoch(train) [48][4400/5005] lr: 1.0000e-02 eta: 1 day, 6:45:42 time: 0.4220 data_time: 0.0028 loss: 1.1532 03/04 19:23:01 - mmengine - INFO - Epoch(train) [48][4500/5005] lr: 1.0000e-02 eta: 1 day, 6:44:59 time: 0.4202 data_time: 0.0028 loss: 1.0089 03/04 19:23:44 - mmengine - INFO - Epoch(train) [48][4600/5005] lr: 1.0000e-02 eta: 1 day, 6:44:17 time: 0.4273 data_time: 0.0027 loss: 1.2352 03/04 19:24:26 - mmengine - INFO - Epoch(train) [48][4700/5005] lr: 1.0000e-02 eta: 1 day, 6:43:34 time: 0.4252 data_time: 0.0028 loss: 1.2385 03/04 19:24:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:25:09 - mmengine - INFO - Epoch(train) [48][4800/5005] lr: 1.0000e-02 eta: 1 day, 6:42:52 time: 0.4259 data_time: 0.0028 loss: 1.2053 03/04 19:25:51 - mmengine - INFO - Epoch(train) [48][4900/5005] lr: 1.0000e-02 eta: 1 day, 6:42:09 time: 0.4217 data_time: 0.0027 loss: 1.0567 03/04 19:26:33 - mmengine - INFO - Epoch(train) [48][5000/5005] lr: 1.0000e-02 eta: 1 day, 6:41:26 time: 0.4207 data_time: 0.0026 loss: 1.1905 03/04 19:26:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:26:36 - mmengine - INFO - Saving checkpoint at 48 epochs 03/04 19:26:48 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:00:08 time: 0.0295 data_time: 0.0005 03/04 19:27:02 - mmengine - INFO - Epoch(val) [48][196/196] accuracy/top1: 74.3880 accuracy/top5: 92.4400 03/04 19:27:48 - mmengine - INFO - Epoch(train) [49][ 100/5005] lr: 1.0000e-02 eta: 1 day, 6:40:45 time: 0.4293 data_time: 0.0037 loss: 1.1769 03/04 19:28:30 - mmengine - INFO - Epoch(train) [49][ 200/5005] lr: 1.0000e-02 eta: 1 day, 6:40:03 time: 0.4280 data_time: 0.0033 loss: 1.1750 03/04 19:29:13 - mmengine - INFO - Epoch(train) [49][ 300/5005] lr: 1.0000e-02 eta: 1 day, 6:39:20 time: 0.4212 data_time: 0.0028 loss: 1.1033 03/04 19:29:55 - mmengine - INFO - Epoch(train) [49][ 400/5005] lr: 1.0000e-02 eta: 1 day, 6:38:38 time: 0.4225 data_time: 0.0028 loss: 1.2926 03/04 19:30:38 - mmengine - INFO - Epoch(train) [49][ 500/5005] lr: 1.0000e-02 eta: 1 day, 6:37:55 time: 0.4298 data_time: 0.0028 loss: 1.1873 03/04 19:31:20 - mmengine - INFO - Epoch(train) [49][ 600/5005] lr: 1.0000e-02 eta: 1 day, 6:37:13 time: 0.4203 data_time: 0.0028 loss: 1.0755 03/04 19:32:02 - mmengine - INFO - Epoch(train) [49][ 700/5005] lr: 1.0000e-02 eta: 1 day, 6:36:30 time: 0.4197 data_time: 0.0027 loss: 1.0841 03/04 19:32:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:32:45 - mmengine - INFO - Epoch(train) [49][ 800/5005] lr: 1.0000e-02 eta: 1 day, 6:35:47 time: 0.4217 data_time: 0.0029 loss: 1.1994 03/04 19:33:27 - mmengine - INFO - Epoch(train) [49][ 900/5005] lr: 1.0000e-02 eta: 1 day, 6:35:05 time: 0.4287 data_time: 0.0027 loss: 1.2858 03/04 19:34:09 - mmengine - INFO - Epoch(train) [49][1000/5005] lr: 1.0000e-02 eta: 1 day, 6:34:22 time: 0.4210 data_time: 0.0029 loss: 1.1667 03/04 19:34:52 - mmengine - INFO - Epoch(train) [49][1100/5005] lr: 1.0000e-02 eta: 1 day, 6:33:40 time: 0.4241 data_time: 0.0028 loss: 1.0798 03/04 19:35:34 - mmengine - INFO - Epoch(train) [49][1200/5005] lr: 1.0000e-02 eta: 1 day, 6:32:57 time: 0.4236 data_time: 0.0029 loss: 1.1303 03/04 19:36:16 - mmengine - INFO - Epoch(train) [49][1300/5005] lr: 1.0000e-02 eta: 1 day, 6:32:14 time: 0.4220 data_time: 0.0030 loss: 1.4447 03/04 19:36:59 - mmengine - INFO - Epoch(train) [49][1400/5005] lr: 1.0000e-02 eta: 1 day, 6:31:32 time: 0.4215 data_time: 0.0028 loss: 1.1239 03/04 19:37:41 - mmengine - INFO - Epoch(train) [49][1500/5005] lr: 1.0000e-02 eta: 1 day, 6:30:49 time: 0.4194 data_time: 0.0029 loss: 1.2150 03/04 19:38:24 - mmengine - INFO - Epoch(train) [49][1600/5005] lr: 1.0000e-02 eta: 1 day, 6:30:06 time: 0.4219 data_time: 0.0027 loss: 1.2943 03/04 19:39:06 - mmengine - INFO - Epoch(train) [49][1700/5005] lr: 1.0000e-02 eta: 1 day, 6:29:24 time: 0.4241 data_time: 0.0030 loss: 1.4923 03/04 19:39:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:39:48 - mmengine - INFO - Epoch(train) [49][1800/5005] lr: 1.0000e-02 eta: 1 day, 6:28:41 time: 0.4206 data_time: 0.0027 loss: 1.1053 03/04 19:40:31 - mmengine - INFO - Epoch(train) [49][1900/5005] lr: 1.0000e-02 eta: 1 day, 6:27:58 time: 0.4185 data_time: 0.0027 loss: 1.1116 03/04 19:41:13 - mmengine - INFO - Epoch(train) [49][2000/5005] lr: 1.0000e-02 eta: 1 day, 6:27:16 time: 0.4213 data_time: 0.0028 loss: 1.2330 03/04 19:41:55 - mmengine - INFO - Epoch(train) [49][2100/5005] lr: 1.0000e-02 eta: 1 day, 6:26:33 time: 0.4223 data_time: 0.0029 loss: 1.1610 03/04 19:42:38 - mmengine - INFO - Epoch(train) [49][2200/5005] lr: 1.0000e-02 eta: 1 day, 6:25:50 time: 0.4208 data_time: 0.0028 loss: 0.9511 03/04 19:43:20 - mmengine - INFO - Epoch(train) [49][2300/5005] lr: 1.0000e-02 eta: 1 day, 6:25:08 time: 0.4239 data_time: 0.0028 loss: 1.0368 03/04 19:44:03 - mmengine - INFO - Epoch(train) [49][2400/5005] lr: 1.0000e-02 eta: 1 day, 6:24:25 time: 0.4211 data_time: 0.0027 loss: 1.1440 03/04 19:44:45 - mmengine - INFO - Epoch(train) [49][2500/5005] lr: 1.0000e-02 eta: 1 day, 6:23:43 time: 0.4211 data_time: 0.0027 loss: 1.0955 03/04 19:45:27 - mmengine - INFO - Epoch(train) [49][2600/5005] lr: 1.0000e-02 eta: 1 day, 6:23:00 time: 0.4239 data_time: 0.0028 loss: 1.3366 03/04 19:46:10 - mmengine - INFO - Epoch(train) [49][2700/5005] lr: 1.0000e-02 eta: 1 day, 6:22:17 time: 0.4223 data_time: 0.0028 loss: 1.2913 03/04 19:46:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:46:52 - mmengine - INFO - Epoch(train) [49][2800/5005] lr: 1.0000e-02 eta: 1 day, 6:21:35 time: 0.4214 data_time: 0.0030 loss: 1.2305 03/04 19:47:34 - mmengine - INFO - Epoch(train) [49][2900/5005] lr: 1.0000e-02 eta: 1 day, 6:20:52 time: 0.4201 data_time: 0.0027 loss: 1.0859 03/04 19:48:17 - mmengine - INFO - Epoch(train) [49][3000/5005] lr: 1.0000e-02 eta: 1 day, 6:20:10 time: 0.4232 data_time: 0.0028 loss: 1.1276 03/04 19:48:59 - mmengine - INFO - Epoch(train) [49][3100/5005] lr: 1.0000e-02 eta: 1 day, 6:19:27 time: 0.4211 data_time: 0.0029 loss: 1.2244 03/04 19:49:41 - mmengine - INFO - Epoch(train) [49][3200/5005] lr: 1.0000e-02 eta: 1 day, 6:18:44 time: 0.4228 data_time: 0.0027 loss: 1.0165 03/04 19:50:24 - mmengine - INFO - Epoch(train) [49][3300/5005] lr: 1.0000e-02 eta: 1 day, 6:18:02 time: 0.4185 data_time: 0.0028 loss: 1.0462 03/04 19:51:06 - mmengine - INFO - Epoch(train) [49][3400/5005] lr: 1.0000e-02 eta: 1 day, 6:17:19 time: 0.4216 data_time: 0.0028 loss: 1.2820 03/04 19:51:48 - mmengine - INFO - Epoch(train) [49][3500/5005] lr: 1.0000e-02 eta: 1 day, 6:16:36 time: 0.4205 data_time: 0.0027 loss: 1.1041 03/04 19:52:31 - mmengine - INFO - Epoch(train) [49][3600/5005] lr: 1.0000e-02 eta: 1 day, 6:15:54 time: 0.4244 data_time: 0.0027 loss: 1.1039 03/04 19:53:14 - mmengine - INFO - Epoch(train) [49][3700/5005] lr: 1.0000e-02 eta: 1 day, 6:15:11 time: 0.4267 data_time: 0.0029 loss: 1.3654 03/04 19:53:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 19:53:56 - mmengine - INFO - Epoch(train) [49][3800/5005] lr: 1.0000e-02 eta: 1 day, 6:14:29 time: 0.4264 data_time: 0.0026 loss: 1.1997 03/04 19:54:38 - mmengine - INFO - Epoch(train) [49][3900/5005] lr: 1.0000e-02 eta: 1 day, 6:13:46 time: 0.4249 data_time: 0.0027 loss: 1.3566 03/04 19:55:21 - mmengine - INFO - Epoch(train) [49][4000/5005] lr: 1.0000e-02 eta: 1 day, 6:13:04 time: 0.4219 data_time: 0.0027 loss: 1.1887 03/04 19:56:04 - mmengine - INFO - Epoch(train) [49][4100/5005] lr: 1.0000e-02 eta: 1 day, 6:12:22 time: 0.4252 data_time: 0.0027 loss: 1.1058 03/04 19:56:46 - mmengine - INFO - Epoch(train) [49][4200/5005] lr: 1.0000e-02 eta: 1 day, 6:11:39 time: 0.4288 data_time: 0.0028 loss: 1.3428 03/04 19:57:28 - mmengine - INFO - Epoch(train) [49][4300/5005] lr: 1.0000e-02 eta: 1 day, 6:10:56 time: 0.4174 data_time: 0.0027 loss: 1.0970 03/04 19:58:11 - mmengine - INFO - Epoch(train) [49][4400/5005] lr: 1.0000e-02 eta: 1 day, 6:10:14 time: 0.4177 data_time: 0.0030 loss: 1.0371 03/04 19:58:53 - mmengine - INFO - Epoch(train) [49][4500/5005] lr: 1.0000e-02 eta: 1 day, 6:09:31 time: 0.4224 data_time: 0.0027 loss: 1.0610 03/04 19:59:36 - mmengine - INFO - Epoch(train) [49][4600/5005] lr: 1.0000e-02 eta: 1 day, 6:08:48 time: 0.4304 data_time: 0.0028 loss: 1.0232 03/04 20:00:18 - mmengine - INFO - Epoch(train) [49][4700/5005] lr: 1.0000e-02 eta: 1 day, 6:08:06 time: 0.4214 data_time: 0.0028 loss: 1.4413 03/04 20:00:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:01:00 - mmengine - INFO - Epoch(train) [49][4800/5005] lr: 1.0000e-02 eta: 1 day, 6:07:23 time: 0.4209 data_time: 0.0028 loss: 0.9910 03/04 20:01:43 - mmengine - INFO - Epoch(train) [49][4900/5005] lr: 1.0000e-02 eta: 1 day, 6:06:41 time: 0.4237 data_time: 0.0028 loss: 1.1030 03/04 20:02:25 - mmengine - INFO - Epoch(train) [49][5000/5005] lr: 1.0000e-02 eta: 1 day, 6:05:58 time: 0.4203 data_time: 0.0026 loss: 1.2722 03/04 20:02:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:02:28 - mmengine - INFO - Saving checkpoint at 49 epochs 03/04 20:02:40 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:00:08 time: 0.0305 data_time: 0.0004 03/04 20:02:54 - mmengine - INFO - Epoch(val) [49][196/196] accuracy/top1: 74.3820 accuracy/top5: 92.3340 03/04 20:03:39 - mmengine - INFO - Epoch(train) [50][ 100/5005] lr: 1.0000e-02 eta: 1 day, 6:05:17 time: 0.4224 data_time: 0.0029 loss: 1.0908 03/04 20:04:22 - mmengine - INFO - Epoch(train) [50][ 200/5005] lr: 1.0000e-02 eta: 1 day, 6:04:34 time: 0.4270 data_time: 0.0030 loss: 1.2062 03/04 20:05:04 - mmengine - INFO - Epoch(train) [50][ 300/5005] lr: 1.0000e-02 eta: 1 day, 6:03:52 time: 0.4235 data_time: 0.0029 loss: 1.1059 03/04 20:05:47 - mmengine - INFO - Epoch(train) [50][ 400/5005] lr: 1.0000e-02 eta: 1 day, 6:03:09 time: 0.4250 data_time: 0.0027 loss: 1.2129 03/04 20:06:29 - mmengine - INFO - Epoch(train) [50][ 500/5005] lr: 1.0000e-02 eta: 1 day, 6:02:27 time: 0.4199 data_time: 0.0029 loss: 1.2250 03/04 20:07:12 - mmengine - INFO - Epoch(train) [50][ 600/5005] lr: 1.0000e-02 eta: 1 day, 6:01:44 time: 0.4206 data_time: 0.0028 loss: 1.2001 03/04 20:07:54 - mmengine - INFO - Epoch(train) [50][ 700/5005] lr: 1.0000e-02 eta: 1 day, 6:01:02 time: 0.4248 data_time: 0.0029 loss: 1.2088 03/04 20:08:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:08:37 - mmengine - INFO - Epoch(train) [50][ 800/5005] lr: 1.0000e-02 eta: 1 day, 6:00:19 time: 0.4213 data_time: 0.0028 loss: 1.1846 03/04 20:09:19 - mmengine - INFO - Epoch(train) [50][ 900/5005] lr: 1.0000e-02 eta: 1 day, 5:59:36 time: 0.4246 data_time: 0.0028 loss: 1.3583 03/04 20:10:01 - mmengine - INFO - Epoch(train) [50][1000/5005] lr: 1.0000e-02 eta: 1 day, 5:58:54 time: 0.4239 data_time: 0.0027 loss: 1.0811 03/04 20:10:44 - mmengine - INFO - Epoch(train) [50][1100/5005] lr: 1.0000e-02 eta: 1 day, 5:58:11 time: 0.4246 data_time: 0.0028 loss: 1.2189 03/04 20:11:26 - mmengine - INFO - Epoch(train) [50][1200/5005] lr: 1.0000e-02 eta: 1 day, 5:57:29 time: 0.4173 data_time: 0.0029 loss: 0.9822 03/04 20:12:09 - mmengine - INFO - Epoch(train) [50][1300/5005] lr: 1.0000e-02 eta: 1 day, 5:56:46 time: 0.4221 data_time: 0.0029 loss: 1.1973 03/04 20:12:51 - mmengine - INFO - Epoch(train) [50][1400/5005] lr: 1.0000e-02 eta: 1 day, 5:56:04 time: 0.4244 data_time: 0.0027 loss: 1.1464 03/04 20:13:33 - mmengine - INFO - Epoch(train) [50][1500/5005] lr: 1.0000e-02 eta: 1 day, 5:55:21 time: 0.4185 data_time: 0.0027 loss: 1.2154 03/04 20:14:16 - mmengine - INFO - Epoch(train) [50][1600/5005] lr: 1.0000e-02 eta: 1 day, 5:54:39 time: 0.4252 data_time: 0.0033 loss: 1.2810 03/04 20:14:58 - mmengine - INFO - Epoch(train) [50][1700/5005] lr: 1.0000e-02 eta: 1 day, 5:53:56 time: 0.4258 data_time: 0.0029 loss: 1.0504 03/04 20:15:22 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:15:41 - mmengine - INFO - Epoch(train) [50][1800/5005] lr: 1.0000e-02 eta: 1 day, 5:53:13 time: 0.4228 data_time: 0.0027 loss: 1.0673 03/04 20:16:24 - mmengine - INFO - Epoch(train) [50][1900/5005] lr: 1.0000e-02 eta: 1 day, 5:52:31 time: 0.4369 data_time: 0.0028 loss: 1.1220 03/04 20:17:06 - mmengine - INFO - Epoch(train) [50][2000/5005] lr: 1.0000e-02 eta: 1 day, 5:51:48 time: 0.4181 data_time: 0.0028 loss: 1.1060 03/04 20:17:48 - mmengine - INFO - Epoch(train) [50][2100/5005] lr: 1.0000e-02 eta: 1 day, 5:51:06 time: 0.4196 data_time: 0.0030 loss: 1.1175 03/04 20:18:31 - mmengine - INFO - Epoch(train) [50][2200/5005] lr: 1.0000e-02 eta: 1 day, 5:50:23 time: 0.4234 data_time: 0.0027 loss: 1.1065 03/04 20:19:13 - mmengine - INFO - Epoch(train) [50][2300/5005] lr: 1.0000e-02 eta: 1 day, 5:49:41 time: 0.4225 data_time: 0.0028 loss: 1.0627 03/04 20:19:56 - mmengine - INFO - Epoch(train) [50][2400/5005] lr: 1.0000e-02 eta: 1 day, 5:48:58 time: 0.4242 data_time: 0.0030 loss: 1.1029 03/04 20:20:38 - mmengine - INFO - Epoch(train) [50][2500/5005] lr: 1.0000e-02 eta: 1 day, 5:48:16 time: 0.4259 data_time: 0.0027 loss: 0.9571 03/04 20:21:20 - mmengine - INFO - Epoch(train) [50][2600/5005] lr: 1.0000e-02 eta: 1 day, 5:47:33 time: 0.4197 data_time: 0.0027 loss: 1.1837 03/04 20:22:03 - mmengine - INFO - Epoch(train) [50][2700/5005] lr: 1.0000e-02 eta: 1 day, 5:46:51 time: 0.4246 data_time: 0.0029 loss: 1.2518 03/04 20:22:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:22:45 - mmengine - INFO - Epoch(train) [50][2800/5005] lr: 1.0000e-02 eta: 1 day, 5:46:08 time: 0.4276 data_time: 0.0028 loss: 1.0978 03/04 20:23:28 - mmengine - INFO - Epoch(train) [50][2900/5005] lr: 1.0000e-02 eta: 1 day, 5:45:26 time: 0.4240 data_time: 0.0028 loss: 1.1752 03/04 20:24:11 - mmengine - INFO - Epoch(train) [50][3000/5005] lr: 1.0000e-02 eta: 1 day, 5:44:43 time: 0.4254 data_time: 0.0028 loss: 1.1382 03/04 20:24:53 - mmengine - INFO - Epoch(train) [50][3100/5005] lr: 1.0000e-02 eta: 1 day, 5:44:01 time: 0.4220 data_time: 0.0030 loss: 1.3490 03/04 20:25:36 - mmengine - INFO - Epoch(train) [50][3200/5005] lr: 1.0000e-02 eta: 1 day, 5:43:19 time: 0.4282 data_time: 0.0028 loss: 1.1488 03/04 20:26:18 - mmengine - INFO - Epoch(train) [50][3300/5005] lr: 1.0000e-02 eta: 1 day, 5:42:36 time: 0.4233 data_time: 0.0030 loss: 1.1980 03/04 20:27:01 - mmengine - INFO - Epoch(train) [50][3400/5005] lr: 1.0000e-02 eta: 1 day, 5:41:54 time: 0.4201 data_time: 0.0027 loss: 1.1299 03/04 20:27:43 - mmengine - INFO - Epoch(train) [50][3500/5005] lr: 1.0000e-02 eta: 1 day, 5:41:11 time: 0.4230 data_time: 0.0028 loss: 1.4314 03/04 20:28:26 - mmengine - INFO - Epoch(train) [50][3600/5005] lr: 1.0000e-02 eta: 1 day, 5:40:28 time: 0.4240 data_time: 0.0028 loss: 1.1545 03/04 20:29:08 - mmengine - INFO - Epoch(train) [50][3700/5005] lr: 1.0000e-02 eta: 1 day, 5:39:46 time: 0.4227 data_time: 0.0028 loss: 1.2400 03/04 20:29:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:29:51 - mmengine - INFO - Epoch(train) [50][3800/5005] lr: 1.0000e-02 eta: 1 day, 5:39:03 time: 0.4228 data_time: 0.0027 loss: 1.2529 03/04 20:30:33 - mmengine - INFO - Epoch(train) [50][3900/5005] lr: 1.0000e-02 eta: 1 day, 5:38:21 time: 0.4245 data_time: 0.0029 loss: 1.2201 03/04 20:31:15 - mmengine - INFO - Epoch(train) [50][4000/5005] lr: 1.0000e-02 eta: 1 day, 5:37:38 time: 0.4221 data_time: 0.0029 loss: 1.2055 03/04 20:31:58 - mmengine - INFO - Epoch(train) [50][4100/5005] lr: 1.0000e-02 eta: 1 day, 5:36:56 time: 0.4223 data_time: 0.0028 loss: 0.9617 03/04 20:32:40 - mmengine - INFO - Epoch(train) [50][4200/5005] lr: 1.0000e-02 eta: 1 day, 5:36:13 time: 0.4196 data_time: 0.0028 loss: 1.1995 03/04 20:33:23 - mmengine - INFO - Epoch(train) [50][4300/5005] lr: 1.0000e-02 eta: 1 day, 5:35:31 time: 0.4171 data_time: 0.0028 loss: 1.1964 03/04 20:34:05 - mmengine - INFO - Epoch(train) [50][4400/5005] lr: 1.0000e-02 eta: 1 day, 5:34:48 time: 0.4242 data_time: 0.0030 loss: 1.1155 03/04 20:34:48 - mmengine - INFO - Epoch(train) [50][4500/5005] lr: 1.0000e-02 eta: 1 day, 5:34:06 time: 0.4200 data_time: 0.0028 loss: 1.0513 03/04 20:35:30 - mmengine - INFO - Epoch(train) [50][4600/5005] lr: 1.0000e-02 eta: 1 day, 5:33:23 time: 0.4254 data_time: 0.0028 loss: 1.0732 03/04 20:36:12 - mmengine - INFO - Epoch(train) [50][4700/5005] lr: 1.0000e-02 eta: 1 day, 5:32:40 time: 0.4226 data_time: 0.0028 loss: 1.0808 03/04 20:36:36 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:36:55 - mmengine - INFO - Epoch(train) [50][4800/5005] lr: 1.0000e-02 eta: 1 day, 5:31:58 time: 0.4201 data_time: 0.0028 loss: 1.2430 03/04 20:37:37 - mmengine - INFO - Epoch(train) [50][4900/5005] lr: 1.0000e-02 eta: 1 day, 5:31:15 time: 0.4201 data_time: 0.0027 loss: 1.1944 03/04 20:38:19 - mmengine - INFO - Epoch(train) [50][5000/5005] lr: 1.0000e-02 eta: 1 day, 5:30:32 time: 0.4213 data_time: 0.0027 loss: 1.2358 03/04 20:38:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:38:22 - mmengine - INFO - Saving checkpoint at 50 epochs 03/04 20:38:34 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:00:08 time: 0.0286 data_time: 0.0005 03/04 20:38:48 - mmengine - INFO - Epoch(val) [50][196/196] accuracy/top1: 74.7160 accuracy/top5: 92.4620 03/04 20:39:33 - mmengine - INFO - Epoch(train) [51][ 100/5005] lr: 1.0000e-02 eta: 1 day, 5:29:51 time: 0.4247 data_time: 0.0029 loss: 1.0335 03/04 20:40:16 - mmengine - INFO - Epoch(train) [51][ 200/5005] lr: 1.0000e-02 eta: 1 day, 5:29:08 time: 0.4220 data_time: 0.0029 loss: 1.1267 03/04 20:40:58 - mmengine - INFO - Epoch(train) [51][ 300/5005] lr: 1.0000e-02 eta: 1 day, 5:28:26 time: 0.4260 data_time: 0.0027 loss: 1.0273 03/04 20:41:41 - mmengine - INFO - Epoch(train) [51][ 400/5005] lr: 1.0000e-02 eta: 1 day, 5:27:43 time: 0.4223 data_time: 0.0029 loss: 1.0770 03/04 20:42:23 - mmengine - INFO - Epoch(train) [51][ 500/5005] lr: 1.0000e-02 eta: 1 day, 5:27:01 time: 0.4258 data_time: 0.0029 loss: 1.2188 03/04 20:43:06 - mmengine - INFO - Epoch(train) [51][ 600/5005] lr: 1.0000e-02 eta: 1 day, 5:26:18 time: 0.4272 data_time: 0.0028 loss: 1.1482 03/04 20:43:48 - mmengine - INFO - Epoch(train) [51][ 700/5005] lr: 1.0000e-02 eta: 1 day, 5:25:36 time: 0.4206 data_time: 0.0028 loss: 0.9790 03/04 20:44:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:44:31 - mmengine - INFO - Epoch(train) [51][ 800/5005] lr: 1.0000e-02 eta: 1 day, 5:24:53 time: 0.4308 data_time: 0.0029 loss: 1.0570 03/04 20:45:14 - mmengine - INFO - Epoch(train) [51][ 900/5005] lr: 1.0000e-02 eta: 1 day, 5:24:11 time: 0.4228 data_time: 0.0031 loss: 1.2192 03/04 20:45:56 - mmengine - INFO - Epoch(train) [51][1000/5005] lr: 1.0000e-02 eta: 1 day, 5:23:29 time: 0.4212 data_time: 0.0028 loss: 1.2164 03/04 20:46:39 - mmengine - INFO - Epoch(train) [51][1100/5005] lr: 1.0000e-02 eta: 1 day, 5:22:46 time: 0.4254 data_time: 0.0027 loss: 1.0463 03/04 20:47:21 - mmengine - INFO - Epoch(train) [51][1200/5005] lr: 1.0000e-02 eta: 1 day, 5:22:04 time: 0.4192 data_time: 0.0030 loss: 1.1482 03/04 20:48:04 - mmengine - INFO - Epoch(train) [51][1300/5005] lr: 1.0000e-02 eta: 1 day, 5:21:21 time: 0.4261 data_time: 0.0028 loss: 1.2229 03/04 20:48:46 - mmengine - INFO - Epoch(train) [51][1400/5005] lr: 1.0000e-02 eta: 1 day, 5:20:39 time: 0.4198 data_time: 0.0027 loss: 1.1667 03/04 20:49:29 - mmengine - INFO - Epoch(train) [51][1500/5005] lr: 1.0000e-02 eta: 1 day, 5:19:56 time: 0.4246 data_time: 0.0028 loss: 1.2107 03/04 20:50:11 - mmengine - INFO - Epoch(train) [51][1600/5005] lr: 1.0000e-02 eta: 1 day, 5:19:14 time: 0.4221 data_time: 0.0030 loss: 1.2368 03/04 20:50:53 - mmengine - INFO - Epoch(train) [51][1700/5005] lr: 1.0000e-02 eta: 1 day, 5:18:31 time: 0.4281 data_time: 0.0028 loss: 1.2985 03/04 20:51:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:51:36 - mmengine - INFO - Epoch(train) [51][1800/5005] lr: 1.0000e-02 eta: 1 day, 5:17:48 time: 0.4219 data_time: 0.0027 loss: 1.1997 03/04 20:52:18 - mmengine - INFO - Epoch(train) [51][1900/5005] lr: 1.0000e-02 eta: 1 day, 5:17:06 time: 0.4220 data_time: 0.0029 loss: 1.1224 03/04 20:53:01 - mmengine - INFO - Epoch(train) [51][2000/5005] lr: 1.0000e-02 eta: 1 day, 5:16:23 time: 0.4246 data_time: 0.0029 loss: 1.2469 03/04 20:53:43 - mmengine - INFO - Epoch(train) [51][2100/5005] lr: 1.0000e-02 eta: 1 day, 5:15:41 time: 0.4226 data_time: 0.0028 loss: 1.0634 03/04 20:54:26 - mmengine - INFO - Epoch(train) [51][2200/5005] lr: 1.0000e-02 eta: 1 day, 5:14:58 time: 0.4171 data_time: 0.0029 loss: 1.2028 03/04 20:55:08 - mmengine - INFO - Epoch(train) [51][2300/5005] lr: 1.0000e-02 eta: 1 day, 5:14:16 time: 0.4268 data_time: 0.0028 loss: 1.0880 03/04 20:55:51 - mmengine - INFO - Epoch(train) [51][2400/5005] lr: 1.0000e-02 eta: 1 day, 5:13:33 time: 0.4229 data_time: 0.0027 loss: 1.0832 03/04 20:56:33 - mmengine - INFO - Epoch(train) [51][2500/5005] lr: 1.0000e-02 eta: 1 day, 5:12:51 time: 0.4213 data_time: 0.0028 loss: 0.9916 03/04 20:57:16 - mmengine - INFO - Epoch(train) [51][2600/5005] lr: 1.0000e-02 eta: 1 day, 5:12:08 time: 0.4260 data_time: 0.0027 loss: 1.0537 03/04 20:57:58 - mmengine - INFO - Epoch(train) [51][2700/5005] lr: 1.0000e-02 eta: 1 day, 5:11:26 time: 0.4242 data_time: 0.0031 loss: 1.1805 03/04 20:58:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 20:58:40 - mmengine - INFO - Epoch(train) [51][2800/5005] lr: 1.0000e-02 eta: 1 day, 5:10:43 time: 0.4218 data_time: 0.0028 loss: 1.1233 03/04 20:59:23 - mmengine - INFO - Epoch(train) [51][2900/5005] lr: 1.0000e-02 eta: 1 day, 5:10:01 time: 0.4253 data_time: 0.0029 loss: 1.1641 03/04 21:00:05 - mmengine - INFO - Epoch(train) [51][3000/5005] lr: 1.0000e-02 eta: 1 day, 5:09:18 time: 0.4276 data_time: 0.0028 loss: 1.2145 03/04 21:00:48 - mmengine - INFO - Epoch(train) [51][3100/5005] lr: 1.0000e-02 eta: 1 day, 5:08:36 time: 0.4240 data_time: 0.0030 loss: 1.3267 03/04 21:01:30 - mmengine - INFO - Epoch(train) [51][3200/5005] lr: 1.0000e-02 eta: 1 day, 5:07:53 time: 0.4221 data_time: 0.0027 loss: 1.2096 03/04 21:02:13 - mmengine - INFO - Epoch(train) [51][3300/5005] lr: 1.0000e-02 eta: 1 day, 5:07:11 time: 0.4232 data_time: 0.0028 loss: 1.0777 03/04 21:02:56 - mmengine - INFO - Epoch(train) [51][3400/5005] lr: 1.0000e-02 eta: 1 day, 5:06:28 time: 0.4243 data_time: 0.0028 loss: 1.0995 03/04 21:03:38 - mmengine - INFO - Epoch(train) [51][3500/5005] lr: 1.0000e-02 eta: 1 day, 5:05:46 time: 0.4228 data_time: 0.0029 loss: 1.3287 03/04 21:04:21 - mmengine - INFO - Epoch(train) [51][3600/5005] lr: 1.0000e-02 eta: 1 day, 5:05:04 time: 0.4341 data_time: 0.0029 loss: 1.1851 03/04 21:05:03 - mmengine - INFO - Epoch(train) [51][3700/5005] lr: 1.0000e-02 eta: 1 day, 5:04:21 time: 0.4212 data_time: 0.0029 loss: 1.2364 03/04 21:05:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:05:46 - mmengine - INFO - Epoch(train) [51][3800/5005] lr: 1.0000e-02 eta: 1 day, 5:03:39 time: 0.4239 data_time: 0.0029 loss: 1.1904 03/04 21:06:28 - mmengine - INFO - Epoch(train) [51][3900/5005] lr: 1.0000e-02 eta: 1 day, 5:02:56 time: 0.4289 data_time: 0.0027 loss: 1.1378 03/04 21:07:11 - mmengine - INFO - Epoch(train) [51][4000/5005] lr: 1.0000e-02 eta: 1 day, 5:02:13 time: 0.4265 data_time: 0.0028 loss: 1.1304 03/04 21:07:53 - mmengine - INFO - Epoch(train) [51][4100/5005] lr: 1.0000e-02 eta: 1 day, 5:01:31 time: 0.4208 data_time: 0.0029 loss: 1.0164 03/04 21:08:35 - mmengine - INFO - Epoch(train) [51][4200/5005] lr: 1.0000e-02 eta: 1 day, 5:00:48 time: 0.4193 data_time: 0.0027 loss: 1.2787 03/04 21:09:18 - mmengine - INFO - Epoch(train) [51][4300/5005] lr: 1.0000e-02 eta: 1 day, 5:00:06 time: 0.4214 data_time: 0.0029 loss: 0.8711 03/04 21:10:00 - mmengine - INFO - Epoch(train) [51][4400/5005] lr: 1.0000e-02 eta: 1 day, 4:59:23 time: 0.4261 data_time: 0.0028 loss: 1.1707 03/04 21:10:43 - mmengine - INFO - Epoch(train) [51][4500/5005] lr: 1.0000e-02 eta: 1 day, 4:58:41 time: 0.4233 data_time: 0.0028 loss: 1.2003 03/04 21:11:25 - mmengine - INFO - Epoch(train) [51][4600/5005] lr: 1.0000e-02 eta: 1 day, 4:57:58 time: 0.4207 data_time: 0.0028 loss: 1.0533 03/04 21:12:07 - mmengine - INFO - Epoch(train) [51][4700/5005] lr: 1.0000e-02 eta: 1 day, 4:57:15 time: 0.4278 data_time: 0.0028 loss: 1.2394 03/04 21:12:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:12:50 - mmengine - INFO - Epoch(train) [51][4800/5005] lr: 1.0000e-02 eta: 1 day, 4:56:33 time: 0.4217 data_time: 0.0028 loss: 1.1857 03/04 21:13:32 - mmengine - INFO - Epoch(train) [51][4900/5005] lr: 1.0000e-02 eta: 1 day, 4:55:50 time: 0.4209 data_time: 0.0029 loss: 1.2205 03/04 21:14:15 - mmengine - INFO - Epoch(train) [51][5000/5005] lr: 1.0000e-02 eta: 1 day, 4:55:08 time: 0.4173 data_time: 0.0028 loss: 1.1408 03/04 21:14:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:14:18 - mmengine - INFO - Saving checkpoint at 51 epochs 03/04 21:14:30 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:00:08 time: 0.0280 data_time: 0.0005 03/04 21:14:43 - mmengine - INFO - Epoch(val) [51][196/196] accuracy/top1: 74.5280 accuracy/top5: 92.2740 03/04 21:15:29 - mmengine - INFO - Epoch(train) [52][ 100/5005] lr: 1.0000e-02 eta: 1 day, 4:54:26 time: 0.4238 data_time: 0.0033 loss: 1.0152 03/04 21:16:11 - mmengine - INFO - Epoch(train) [52][ 200/5005] lr: 1.0000e-02 eta: 1 day, 4:53:44 time: 0.4254 data_time: 0.0032 loss: 1.3078 03/04 21:16:54 - mmengine - INFO - Epoch(train) [52][ 300/5005] lr: 1.0000e-02 eta: 1 day, 4:53:01 time: 0.4216 data_time: 0.0029 loss: 1.0515 03/04 21:17:37 - mmengine - INFO - Epoch(train) [52][ 400/5005] lr: 1.0000e-02 eta: 1 day, 4:52:19 time: 0.4206 data_time: 0.0030 loss: 1.1567 03/04 21:18:19 - mmengine - INFO - Epoch(train) [52][ 500/5005] lr: 1.0000e-02 eta: 1 day, 4:51:36 time: 0.4236 data_time: 0.0027 loss: 1.3257 03/04 21:19:02 - mmengine - INFO - Epoch(train) [52][ 600/5005] lr: 1.0000e-02 eta: 1 day, 4:50:54 time: 0.4275 data_time: 0.0028 loss: 1.1216 03/04 21:19:44 - mmengine - INFO - Epoch(train) [52][ 700/5005] lr: 1.0000e-02 eta: 1 day, 4:50:12 time: 0.4241 data_time: 0.0029 loss: 1.0752 03/04 21:20:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:20:27 - mmengine - INFO - Epoch(train) [52][ 800/5005] lr: 1.0000e-02 eta: 1 day, 4:49:29 time: 0.4258 data_time: 0.0029 loss: 1.1892 03/04 21:21:09 - mmengine - INFO - Epoch(train) [52][ 900/5005] lr: 1.0000e-02 eta: 1 day, 4:48:46 time: 0.4212 data_time: 0.0029 loss: 1.1445 03/04 21:21:52 - mmengine - INFO - Epoch(train) [52][1000/5005] lr: 1.0000e-02 eta: 1 day, 4:48:04 time: 0.4253 data_time: 0.0031 loss: 1.0042 03/04 21:22:34 - mmengine - INFO - Epoch(train) [52][1100/5005] lr: 1.0000e-02 eta: 1 day, 4:47:21 time: 0.4228 data_time: 0.0029 loss: 1.2801 03/04 21:23:16 - mmengine - INFO - Epoch(train) [52][1200/5005] lr: 1.0000e-02 eta: 1 day, 4:46:39 time: 0.4247 data_time: 0.0029 loss: 1.0621 03/04 21:23:59 - mmengine - INFO - Epoch(train) [52][1300/5005] lr: 1.0000e-02 eta: 1 day, 4:45:56 time: 0.4200 data_time: 0.0030 loss: 1.2314 03/04 21:24:41 - mmengine - INFO - Epoch(train) [52][1400/5005] lr: 1.0000e-02 eta: 1 day, 4:45:14 time: 0.4293 data_time: 0.0031 loss: 1.3191 03/04 21:25:24 - mmengine - INFO - Epoch(train) [52][1500/5005] lr: 1.0000e-02 eta: 1 day, 4:44:31 time: 0.4202 data_time: 0.0030 loss: 1.3116 03/04 21:26:06 - mmengine - INFO - Epoch(train) [52][1600/5005] lr: 1.0000e-02 eta: 1 day, 4:43:49 time: 0.4212 data_time: 0.0031 loss: 1.1855 03/04 21:26:49 - mmengine - INFO - Epoch(train) [52][1700/5005] lr: 1.0000e-02 eta: 1 day, 4:43:06 time: 0.4262 data_time: 0.0030 loss: 1.1736 03/04 21:27:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:27:31 - mmengine - INFO - Epoch(train) [52][1800/5005] lr: 1.0000e-02 eta: 1 day, 4:42:24 time: 0.4216 data_time: 0.0029 loss: 0.9121 03/04 21:28:14 - mmengine - INFO - Epoch(train) [52][1900/5005] lr: 1.0000e-02 eta: 1 day, 4:41:41 time: 0.4246 data_time: 0.0029 loss: 1.1338 03/04 21:28:56 - mmengine - INFO - Epoch(train) [52][2000/5005] lr: 1.0000e-02 eta: 1 day, 4:40:59 time: 0.4252 data_time: 0.0027 loss: 1.0546 03/04 21:29:39 - mmengine - INFO - Epoch(train) [52][2100/5005] lr: 1.0000e-02 eta: 1 day, 4:40:16 time: 0.4208 data_time: 0.0028 loss: 1.1049 03/04 21:30:21 - mmengine - INFO - Epoch(train) [52][2200/5005] lr: 1.0000e-02 eta: 1 day, 4:39:33 time: 0.4219 data_time: 0.0028 loss: 1.0845 03/04 21:31:04 - mmengine - INFO - Epoch(train) [52][2300/5005] lr: 1.0000e-02 eta: 1 day, 4:38:51 time: 0.4228 data_time: 0.0027 loss: 1.0834 03/04 21:31:46 - mmengine - INFO - Epoch(train) [52][2400/5005] lr: 1.0000e-02 eta: 1 day, 4:38:08 time: 0.4222 data_time: 0.0029 loss: 1.1360 03/04 21:32:29 - mmengine - INFO - Epoch(train) [52][2500/5005] lr: 1.0000e-02 eta: 1 day, 4:37:26 time: 0.4219 data_time: 0.0027 loss: 1.0667 03/04 21:33:11 - mmengine - INFO - Epoch(train) [52][2600/5005] lr: 1.0000e-02 eta: 1 day, 4:36:43 time: 0.4212 data_time: 0.0029 loss: 1.0743 03/04 21:33:53 - mmengine - INFO - Epoch(train) [52][2700/5005] lr: 1.0000e-02 eta: 1 day, 4:36:01 time: 0.4224 data_time: 0.0029 loss: 1.2176 03/04 21:34:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:34:36 - mmengine - INFO - Epoch(train) [52][2800/5005] lr: 1.0000e-02 eta: 1 day, 4:35:18 time: 0.4259 data_time: 0.0028 loss: 1.2926 03/04 21:35:18 - mmengine - INFO - Epoch(train) [52][2900/5005] lr: 1.0000e-02 eta: 1 day, 4:34:36 time: 0.4332 data_time: 0.0028 loss: 1.1890 03/04 21:36:01 - mmengine - INFO - Epoch(train) [52][3000/5005] lr: 1.0000e-02 eta: 1 day, 4:33:53 time: 0.4224 data_time: 0.0028 loss: 1.1086 03/04 21:36:43 - mmengine - INFO - Epoch(train) [52][3100/5005] lr: 1.0000e-02 eta: 1 day, 4:33:11 time: 0.4282 data_time: 0.0027 loss: 1.0958 03/04 21:37:26 - mmengine - INFO - Epoch(train) [52][3200/5005] lr: 1.0000e-02 eta: 1 day, 4:32:28 time: 0.4244 data_time: 0.0031 loss: 1.2955 03/04 21:38:08 - mmengine - INFO - Epoch(train) [52][3300/5005] lr: 1.0000e-02 eta: 1 day, 4:31:46 time: 0.4194 data_time: 0.0029 loss: 1.1246 03/04 21:38:51 - mmengine - INFO - Epoch(train) [52][3400/5005] lr: 1.0000e-02 eta: 1 day, 4:31:03 time: 0.4222 data_time: 0.0028 loss: 1.1418 03/04 21:39:33 - mmengine - INFO - Epoch(train) [52][3500/5005] lr: 1.0000e-02 eta: 1 day, 4:30:21 time: 0.4235 data_time: 0.0028 loss: 1.1709 03/04 21:40:16 - mmengine - INFO - Epoch(train) [52][3600/5005] lr: 1.0000e-02 eta: 1 day, 4:29:38 time: 0.4257 data_time: 0.0028 loss: 1.3157 03/04 21:40:58 - mmengine - INFO - Epoch(train) [52][3700/5005] lr: 1.0000e-02 eta: 1 day, 4:28:56 time: 0.4284 data_time: 0.0028 loss: 1.3024 03/04 21:41:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:41:41 - mmengine - INFO - Epoch(train) [52][3800/5005] lr: 1.0000e-02 eta: 1 day, 4:28:13 time: 0.4243 data_time: 0.0028 loss: 0.9046 03/04 21:42:23 - mmengine - INFO - Epoch(train) [52][3900/5005] lr: 1.0000e-02 eta: 1 day, 4:27:31 time: 0.4222 data_time: 0.0027 loss: 0.9809 03/04 21:43:06 - mmengine - INFO - Epoch(train) [52][4000/5005] lr: 1.0000e-02 eta: 1 day, 4:26:48 time: 0.4285 data_time: 0.0029 loss: 1.1637 03/04 21:43:48 - mmengine - INFO - Epoch(train) [52][4100/5005] lr: 1.0000e-02 eta: 1 day, 4:26:06 time: 0.4261 data_time: 0.0028 loss: 1.0565 03/04 21:44:31 - mmengine - INFO - Epoch(train) [52][4200/5005] lr: 1.0000e-02 eta: 1 day, 4:25:23 time: 0.4198 data_time: 0.0028 loss: 1.2196 03/04 21:45:13 - mmengine - INFO - Epoch(train) [52][4300/5005] lr: 1.0000e-02 eta: 1 day, 4:24:41 time: 0.4247 data_time: 0.0029 loss: 1.1957 03/04 21:45:56 - mmengine - INFO - Epoch(train) [52][4400/5005] lr: 1.0000e-02 eta: 1 day, 4:23:58 time: 0.4280 data_time: 0.0030 loss: 1.1885 03/04 21:46:38 - mmengine - INFO - Epoch(train) [52][4500/5005] lr: 1.0000e-02 eta: 1 day, 4:23:16 time: 0.4212 data_time: 0.0027 loss: 1.1393 03/04 21:47:20 - mmengine - INFO - Epoch(train) [52][4600/5005] lr: 1.0000e-02 eta: 1 day, 4:22:33 time: 0.4184 data_time: 0.0029 loss: 1.2229 03/04 21:48:03 - mmengine - INFO - Epoch(train) [52][4700/5005] lr: 1.0000e-02 eta: 1 day, 4:21:51 time: 0.4280 data_time: 0.0028 loss: 1.0024 03/04 21:48:22 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:48:46 - mmengine - INFO - Epoch(train) [52][4800/5005] lr: 1.0000e-02 eta: 1 day, 4:21:08 time: 0.4226 data_time: 0.0029 loss: 1.0817 03/04 21:49:28 - mmengine - INFO - Epoch(train) [52][4900/5005] lr: 1.0000e-02 eta: 1 day, 4:20:26 time: 0.4278 data_time: 0.0028 loss: 1.0859 03/04 21:50:10 - mmengine - INFO - Epoch(train) [52][5000/5005] lr: 1.0000e-02 eta: 1 day, 4:19:43 time: 0.4216 data_time: 0.0027 loss: 1.0046 03/04 21:50:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:50:13 - mmengine - INFO - Saving checkpoint at 52 epochs 03/04 21:50:25 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:00:08 time: 0.0292 data_time: 0.0004 03/04 21:50:39 - mmengine - INFO - Epoch(val) [52][196/196] accuracy/top1: 74.7860 accuracy/top5: 92.4760 03/04 21:51:25 - mmengine - INFO - Epoch(train) [53][ 100/5005] lr: 1.0000e-02 eta: 1 day, 4:19:02 time: 0.4274 data_time: 0.0030 loss: 1.1203 03/04 21:52:07 - mmengine - INFO - Epoch(train) [53][ 200/5005] lr: 1.0000e-02 eta: 1 day, 4:18:19 time: 0.4290 data_time: 0.0029 loss: 1.1806 03/04 21:52:50 - mmengine - INFO - Epoch(train) [53][ 300/5005] lr: 1.0000e-02 eta: 1 day, 4:17:37 time: 0.4212 data_time: 0.0029 loss: 1.0227 03/04 21:53:32 - mmengine - INFO - Epoch(train) [53][ 400/5005] lr: 1.0000e-02 eta: 1 day, 4:16:54 time: 0.4248 data_time: 0.0028 loss: 1.1653 03/04 21:54:15 - mmengine - INFO - Epoch(train) [53][ 500/5005] lr: 1.0000e-02 eta: 1 day, 4:16:12 time: 0.4283 data_time: 0.0028 loss: 1.1888 03/04 21:54:57 - mmengine - INFO - Epoch(train) [53][ 600/5005] lr: 1.0000e-02 eta: 1 day, 4:15:29 time: 0.4226 data_time: 0.0029 loss: 1.3004 03/04 21:55:40 - mmengine - INFO - Epoch(train) [53][ 700/5005] lr: 1.0000e-02 eta: 1 day, 4:14:47 time: 0.4290 data_time: 0.0030 loss: 1.0766 03/04 21:55:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 21:56:22 - mmengine - INFO - Epoch(train) [53][ 800/5005] lr: 1.0000e-02 eta: 1 day, 4:14:04 time: 0.4259 data_time: 0.0028 loss: 1.1899 03/04 21:57:05 - mmengine - INFO - Epoch(train) [53][ 900/5005] lr: 1.0000e-02 eta: 1 day, 4:13:22 time: 0.4241 data_time: 0.0028 loss: 1.2796 03/04 21:57:47 - mmengine - INFO - Epoch(train) [53][1000/5005] lr: 1.0000e-02 eta: 1 day, 4:12:39 time: 0.4210 data_time: 0.0030 loss: 1.1904 03/04 21:58:30 - mmengine - INFO - Epoch(train) [53][1100/5005] lr: 1.0000e-02 eta: 1 day, 4:11:57 time: 0.4216 data_time: 0.0030 loss: 1.1813 03/04 21:59:12 - mmengine - INFO - Epoch(train) [53][1200/5005] lr: 1.0000e-02 eta: 1 day, 4:11:14 time: 0.4261 data_time: 0.0029 loss: 1.0229 03/04 21:59:55 - mmengine - INFO - Epoch(train) [53][1300/5005] lr: 1.0000e-02 eta: 1 day, 4:10:32 time: 0.4193 data_time: 0.0027 loss: 0.8513 03/04 22:00:38 - mmengine - INFO - Epoch(train) [53][1400/5005] lr: 1.0000e-02 eta: 1 day, 4:09:50 time: 0.4243 data_time: 0.0028 loss: 1.2634 03/04 22:01:20 - mmengine - INFO - Epoch(train) [53][1500/5005] lr: 1.0000e-02 eta: 1 day, 4:09:07 time: 0.4251 data_time: 0.0028 loss: 1.3143 03/04 22:02:03 - mmengine - INFO - Epoch(train) [53][1600/5005] lr: 1.0000e-02 eta: 1 day, 4:08:25 time: 0.4239 data_time: 0.0027 loss: 1.0755 03/04 22:02:45 - mmengine - INFO - Epoch(train) [53][1700/5005] lr: 1.0000e-02 eta: 1 day, 4:07:42 time: 0.4251 data_time: 0.0029 loss: 0.9948 03/04 22:03:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:03:28 - mmengine - INFO - Epoch(train) [53][1800/5005] lr: 1.0000e-02 eta: 1 day, 4:07:00 time: 0.4260 data_time: 0.0029 loss: 1.0853 03/04 22:04:11 - mmengine - INFO - Epoch(train) [53][1900/5005] lr: 1.0000e-02 eta: 1 day, 4:06:18 time: 0.4273 data_time: 0.0028 loss: 1.1732 03/04 22:04:53 - mmengine - INFO - Epoch(train) [53][2000/5005] lr: 1.0000e-02 eta: 1 day, 4:05:35 time: 0.4222 data_time: 0.0028 loss: 1.1795 03/04 22:05:36 - mmengine - INFO - Epoch(train) [53][2100/5005] lr: 1.0000e-02 eta: 1 day, 4:04:53 time: 0.4292 data_time: 0.0028 loss: 1.0993 03/04 22:06:19 - mmengine - INFO - Epoch(train) [53][2200/5005] lr: 1.0000e-02 eta: 1 day, 4:04:11 time: 0.4292 data_time: 0.0028 loss: 1.2099 03/04 22:07:01 - mmengine - INFO - Epoch(train) [53][2300/5005] lr: 1.0000e-02 eta: 1 day, 4:03:28 time: 0.4202 data_time: 0.0029 loss: 1.0286 03/04 22:07:44 - mmengine - INFO - Epoch(train) [53][2400/5005] lr: 1.0000e-02 eta: 1 day, 4:02:46 time: 0.4195 data_time: 0.0028 loss: 1.0032 03/04 22:08:27 - mmengine - INFO - Epoch(train) [53][2500/5005] lr: 1.0000e-02 eta: 1 day, 4:02:04 time: 0.4336 data_time: 0.0027 loss: 0.9501 03/04 22:09:09 - mmengine - INFO - Epoch(train) [53][2600/5005] lr: 1.0000e-02 eta: 1 day, 4:01:21 time: 0.4272 data_time: 0.0027 loss: 1.1806 03/04 22:09:52 - mmengine - INFO - Epoch(train) [53][2700/5005] lr: 1.0000e-02 eta: 1 day, 4:00:39 time: 0.4327 data_time: 0.0027 loss: 1.0997 03/04 22:10:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:10:35 - mmengine - INFO - Epoch(train) [53][2800/5005] lr: 1.0000e-02 eta: 1 day, 3:59:57 time: 0.4229 data_time: 0.0029 loss: 1.2147 03/04 22:11:17 - mmengine - INFO - Epoch(train) [53][2900/5005] lr: 1.0000e-02 eta: 1 day, 3:59:14 time: 0.4278 data_time: 0.0028 loss: 1.1930 03/04 22:11:59 - mmengine - INFO - Epoch(train) [53][3000/5005] lr: 1.0000e-02 eta: 1 day, 3:58:32 time: 0.4295 data_time: 0.0029 loss: 1.2288 03/04 22:12:42 - mmengine - INFO - Epoch(train) [53][3100/5005] lr: 1.0000e-02 eta: 1 day, 3:57:49 time: 0.4224 data_time: 0.0029 loss: 1.2721 03/04 22:13:24 - mmengine - INFO - Epoch(train) [53][3200/5005] lr: 1.0000e-02 eta: 1 day, 3:57:07 time: 0.4234 data_time: 0.0029 loss: 1.2071 03/04 22:14:07 - mmengine - INFO - Epoch(train) [53][3300/5005] lr: 1.0000e-02 eta: 1 day, 3:56:24 time: 0.4322 data_time: 0.0029 loss: 1.0736 03/04 22:14:50 - mmengine - INFO - Epoch(train) [53][3400/5005] lr: 1.0000e-02 eta: 1 day, 3:55:42 time: 0.4202 data_time: 0.0028 loss: 1.3087 03/04 22:15:32 - mmengine - INFO - Epoch(train) [53][3500/5005] lr: 1.0000e-02 eta: 1 day, 3:54:59 time: 0.4204 data_time: 0.0028 loss: 1.3096 03/04 22:16:15 - mmengine - INFO - Epoch(train) [53][3600/5005] lr: 1.0000e-02 eta: 1 day, 3:54:17 time: 0.4298 data_time: 0.0030 loss: 1.0598 03/04 22:16:57 - mmengine - INFO - Epoch(train) [53][3700/5005] lr: 1.0000e-02 eta: 1 day, 3:53:35 time: 0.4285 data_time: 0.0029 loss: 1.1324 03/04 22:17:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:17:40 - mmengine - INFO - Epoch(train) [53][3800/5005] lr: 1.0000e-02 eta: 1 day, 3:52:52 time: 0.4240 data_time: 0.0028 loss: 1.0856 03/04 22:18:22 - mmengine - INFO - Epoch(train) [53][3900/5005] lr: 1.0000e-02 eta: 1 day, 3:52:10 time: 0.4266 data_time: 0.0029 loss: 1.1720 03/04 22:19:05 - mmengine - INFO - Epoch(train) [53][4000/5005] lr: 1.0000e-02 eta: 1 day, 3:51:27 time: 0.4236 data_time: 0.0030 loss: 1.1135 03/04 22:19:47 - mmengine - INFO - Epoch(train) [53][4100/5005] lr: 1.0000e-02 eta: 1 day, 3:50:45 time: 0.4179 data_time: 0.0029 loss: 1.1207 03/04 22:20:30 - mmengine - INFO - Epoch(train) [53][4200/5005] lr: 1.0000e-02 eta: 1 day, 3:50:02 time: 0.4259 data_time: 0.0028 loss: 1.2684 03/04 22:21:13 - mmengine - INFO - Epoch(train) [53][4300/5005] lr: 1.0000e-02 eta: 1 day, 3:49:20 time: 0.4323 data_time: 0.0029 loss: 1.0104 03/04 22:21:55 - mmengine - INFO - Epoch(train) [53][4400/5005] lr: 1.0000e-02 eta: 1 day, 3:48:37 time: 0.4272 data_time: 0.0029 loss: 1.1585 03/04 22:22:38 - mmengine - INFO - Epoch(train) [53][4500/5005] lr: 1.0000e-02 eta: 1 day, 3:47:55 time: 0.4300 data_time: 0.0029 loss: 1.2064 03/04 22:23:20 - mmengine - INFO - Epoch(train) [53][4600/5005] lr: 1.0000e-02 eta: 1 day, 3:47:13 time: 0.4221 data_time: 0.0030 loss: 1.2250 03/04 22:24:03 - mmengine - INFO - Epoch(train) [53][4700/5005] lr: 1.0000e-02 eta: 1 day, 3:46:30 time: 0.4243 data_time: 0.0029 loss: 1.1292 03/04 22:24:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:24:46 - mmengine - INFO - Epoch(train) [53][4800/5005] lr: 1.0000e-02 eta: 1 day, 3:45:48 time: 0.4296 data_time: 0.0029 loss: 1.1003 03/04 22:25:28 - mmengine - INFO - Epoch(train) [53][4900/5005] lr: 1.0000e-02 eta: 1 day, 3:45:05 time: 0.4244 data_time: 0.0027 loss: 1.3294 03/04 22:26:11 - mmengine - INFO - Epoch(train) [53][5000/5005] lr: 1.0000e-02 eta: 1 day, 3:44:23 time: 0.4234 data_time: 0.0027 loss: 1.1699 03/04 22:26:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:26:14 - mmengine - INFO - Saving checkpoint at 53 epochs 03/04 22:26:25 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:00:08 time: 0.0287 data_time: 0.0004 03/04 22:26:39 - mmengine - INFO - Epoch(val) [53][196/196] accuracy/top1: 74.6520 accuracy/top5: 92.4420 03/04 22:27:25 - mmengine - INFO - Epoch(train) [54][ 100/5005] lr: 1.0000e-02 eta: 1 day, 3:43:41 time: 0.4272 data_time: 0.0029 loss: 1.2163 03/04 22:28:08 - mmengine - INFO - Epoch(train) [54][ 200/5005] lr: 1.0000e-02 eta: 1 day, 3:42:59 time: 0.4259 data_time: 0.0029 loss: 1.1416 03/04 22:28:50 - mmengine - INFO - Epoch(train) [54][ 300/5005] lr: 1.0000e-02 eta: 1 day, 3:42:17 time: 0.4244 data_time: 0.0029 loss: 1.1775 03/04 22:29:33 - mmengine - INFO - Epoch(train) [54][ 400/5005] lr: 1.0000e-02 eta: 1 day, 3:41:34 time: 0.4216 data_time: 0.0029 loss: 1.0021 03/04 22:30:16 - mmengine - INFO - Epoch(train) [54][ 500/5005] lr: 1.0000e-02 eta: 1 day, 3:40:52 time: 0.4280 data_time: 0.0031 loss: 0.9195 03/04 22:30:59 - mmengine - INFO - Epoch(train) [54][ 600/5005] lr: 1.0000e-02 eta: 1 day, 3:40:10 time: 0.4348 data_time: 0.0029 loss: 1.1236 03/04 22:31:41 - mmengine - INFO - Epoch(train) [54][ 700/5005] lr: 1.0000e-02 eta: 1 day, 3:39:28 time: 0.4204 data_time: 0.0029 loss: 0.9715 03/04 22:31:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:32:24 - mmengine - INFO - Epoch(train) [54][ 800/5005] lr: 1.0000e-02 eta: 1 day, 3:38:45 time: 0.4310 data_time: 0.0039 loss: 1.0440 03/04 22:33:06 - mmengine - INFO - Epoch(train) [54][ 900/5005] lr: 1.0000e-02 eta: 1 day, 3:38:03 time: 0.4228 data_time: 0.0029 loss: 1.0650 03/04 22:33:49 - mmengine - INFO - Epoch(train) [54][1000/5005] lr: 1.0000e-02 eta: 1 day, 3:37:20 time: 0.4267 data_time: 0.0031 loss: 1.3270 03/04 22:34:31 - mmengine - INFO - Epoch(train) [54][1100/5005] lr: 1.0000e-02 eta: 1 day, 3:36:38 time: 0.4205 data_time: 0.0028 loss: 0.9809 03/04 22:35:14 - mmengine - INFO - Epoch(train) [54][1200/5005] lr: 1.0000e-02 eta: 1 day, 3:35:55 time: 0.4283 data_time: 0.0029 loss: 1.1339 03/04 22:35:57 - mmengine - INFO - Epoch(train) [54][1300/5005] lr: 1.0000e-02 eta: 1 day, 3:35:13 time: 0.4215 data_time: 0.0030 loss: 1.1746 03/04 22:36:39 - mmengine - INFO - Epoch(train) [54][1400/5005] lr: 1.0000e-02 eta: 1 day, 3:34:30 time: 0.4286 data_time: 0.0027 loss: 1.1829 03/04 22:37:22 - mmengine - INFO - Epoch(train) [54][1500/5005] lr: 1.0000e-02 eta: 1 day, 3:33:48 time: 0.4260 data_time: 0.0030 loss: 1.0306 03/04 22:38:04 - mmengine - INFO - Epoch(train) [54][1600/5005] lr: 1.0000e-02 eta: 1 day, 3:33:06 time: 0.4171 data_time: 0.0028 loss: 1.1393 03/04 22:38:47 - mmengine - INFO - Epoch(train) [54][1700/5005] lr: 1.0000e-02 eta: 1 day, 3:32:23 time: 0.4231 data_time: 0.0029 loss: 1.1028 03/04 22:39:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:39:29 - mmengine - INFO - Epoch(train) [54][1800/5005] lr: 1.0000e-02 eta: 1 day, 3:31:41 time: 0.4253 data_time: 0.0029 loss: 1.2440 03/04 22:40:12 - mmengine - INFO - Epoch(train) [54][1900/5005] lr: 1.0000e-02 eta: 1 day, 3:30:58 time: 0.4265 data_time: 0.0029 loss: 1.1448 03/04 22:40:55 - mmengine - INFO - Epoch(train) [54][2000/5005] lr: 1.0000e-02 eta: 1 day, 3:30:16 time: 0.4244 data_time: 0.0030 loss: 1.1803 03/04 22:41:38 - mmengine - INFO - Epoch(train) [54][2100/5005] lr: 1.0000e-02 eta: 1 day, 3:29:34 time: 0.4255 data_time: 0.0028 loss: 1.1898 03/04 22:42:20 - mmengine - INFO - Epoch(train) [54][2200/5005] lr: 1.0000e-02 eta: 1 day, 3:28:52 time: 0.4279 data_time: 0.0029 loss: 1.3160 03/04 22:43:03 - mmengine - INFO - Epoch(train) [54][2300/5005] lr: 1.0000e-02 eta: 1 day, 3:28:09 time: 0.4265 data_time: 0.0029 loss: 1.0961 03/04 22:43:46 - mmengine - INFO - Epoch(train) [54][2400/5005] lr: 1.0000e-02 eta: 1 day, 3:27:27 time: 0.4302 data_time: 0.0028 loss: 1.0804 03/04 22:44:28 - mmengine - INFO - Epoch(train) [54][2500/5005] lr: 1.0000e-02 eta: 1 day, 3:26:44 time: 0.4282 data_time: 0.0029 loss: 1.2667 03/04 22:45:11 - mmengine - INFO - Epoch(train) [54][2600/5005] lr: 1.0000e-02 eta: 1 day, 3:26:02 time: 0.4204 data_time: 0.0029 loss: 1.2235 03/04 22:45:54 - mmengine - INFO - Epoch(train) [54][2700/5005] lr: 1.0000e-02 eta: 1 day, 3:25:20 time: 0.4260 data_time: 0.0030 loss: 1.1077 03/04 22:46:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:46:36 - mmengine - INFO - Epoch(train) [54][2800/5005] lr: 1.0000e-02 eta: 1 day, 3:24:37 time: 0.4279 data_time: 0.0028 loss: 1.0277 03/04 22:47:19 - mmengine - INFO - Epoch(train) [54][2900/5005] lr: 1.0000e-02 eta: 1 day, 3:23:55 time: 0.4268 data_time: 0.0032 loss: 1.1052 03/04 22:48:01 - mmengine - INFO - Epoch(train) [54][3000/5005] lr: 1.0000e-02 eta: 1 day, 3:23:13 time: 0.4276 data_time: 0.0032 loss: 1.3501 03/04 22:48:44 - mmengine - INFO - Epoch(train) [54][3100/5005] lr: 1.0000e-02 eta: 1 day, 3:22:30 time: 0.4218 data_time: 0.0030 loss: 1.3600 03/04 22:49:27 - mmengine - INFO - Epoch(train) [54][3200/5005] lr: 1.0000e-02 eta: 1 day, 3:21:48 time: 0.4216 data_time: 0.0030 loss: 1.0813 03/04 22:50:09 - mmengine - INFO - Epoch(train) [54][3300/5005] lr: 1.0000e-02 eta: 1 day, 3:21:05 time: 0.4218 data_time: 0.0030 loss: 1.3183 03/04 22:50:52 - mmengine - INFO - Epoch(train) [54][3400/5005] lr: 1.0000e-02 eta: 1 day, 3:20:23 time: 0.4189 data_time: 0.0029 loss: 1.2610 03/04 22:51:35 - mmengine - INFO - Epoch(train) [54][3500/5005] lr: 1.0000e-02 eta: 1 day, 3:19:41 time: 0.4311 data_time: 0.0029 loss: 1.1261 03/04 22:52:17 - mmengine - INFO - Epoch(train) [54][3600/5005] lr: 1.0000e-02 eta: 1 day, 3:18:58 time: 0.4271 data_time: 0.0029 loss: 1.0952 03/04 22:53:00 - mmengine - INFO - Epoch(train) [54][3700/5005] lr: 1.0000e-02 eta: 1 day, 3:18:16 time: 0.4244 data_time: 0.0028 loss: 1.2134 03/04 22:53:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 22:53:43 - mmengine - INFO - Epoch(train) [54][3800/5005] lr: 1.0000e-02 eta: 1 day, 3:17:34 time: 0.4273 data_time: 0.0031 loss: 1.1380 03/04 22:54:25 - mmengine - INFO - Epoch(train) [54][3900/5005] lr: 1.0000e-02 eta: 1 day, 3:16:51 time: 0.4259 data_time: 0.0029 loss: 1.3707 03/04 22:55:08 - mmengine - INFO - Epoch(train) [54][4000/5005] lr: 1.0000e-02 eta: 1 day, 3:16:09 time: 0.4209 data_time: 0.0029 loss: 1.2721 03/04 22:55:50 - mmengine - INFO - Epoch(train) [54][4100/5005] lr: 1.0000e-02 eta: 1 day, 3:15:26 time: 0.4226 data_time: 0.0028 loss: 1.1155 03/04 22:56:33 - mmengine - INFO - Epoch(train) [54][4200/5005] lr: 1.0000e-02 eta: 1 day, 3:14:44 time: 0.4209 data_time: 0.0029 loss: 1.1825 03/04 22:57:15 - mmengine - INFO - Epoch(train) [54][4300/5005] lr: 1.0000e-02 eta: 1 day, 3:14:01 time: 0.4178 data_time: 0.0029 loss: 1.4027 03/04 22:57:58 - mmengine - INFO - Epoch(train) [54][4400/5005] lr: 1.0000e-02 eta: 1 day, 3:13:19 time: 0.4303 data_time: 0.0028 loss: 1.1796 03/04 22:58:40 - mmengine - INFO - Epoch(train) [54][4500/5005] lr: 1.0000e-02 eta: 1 day, 3:12:36 time: 0.4282 data_time: 0.0029 loss: 1.2755 03/04 22:59:23 - mmengine - INFO - Epoch(train) [54][4600/5005] lr: 1.0000e-02 eta: 1 day, 3:11:54 time: 0.4326 data_time: 0.0029 loss: 1.0921 03/04 23:00:05 - mmengine - INFO - Epoch(train) [54][4700/5005] lr: 1.0000e-02 eta: 1 day, 3:11:11 time: 0.4234 data_time: 0.0028 loss: 1.0023 03/04 23:00:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:00:48 - mmengine - INFO - Epoch(train) [54][4800/5005] lr: 1.0000e-02 eta: 1 day, 3:10:29 time: 0.4230 data_time: 0.0029 loss: 1.2906 03/04 23:01:31 - mmengine - INFO - Epoch(train) [54][4900/5005] lr: 1.0000e-02 eta: 1 day, 3:09:47 time: 0.4244 data_time: 0.0030 loss: 1.1340 03/04 23:02:13 - mmengine - INFO - Epoch(train) [54][5000/5005] lr: 1.0000e-02 eta: 1 day, 3:09:04 time: 0.4230 data_time: 0.0027 loss: 1.2419 03/04 23:02:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:02:16 - mmengine - INFO - Saving checkpoint at 54 epochs 03/04 23:02:28 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:00:08 time: 0.0286 data_time: 0.0006 03/04 23:02:42 - mmengine - INFO - Epoch(val) [54][196/196] accuracy/top1: 74.6420 accuracy/top5: 92.4960 03/04 23:03:28 - mmengine - INFO - Epoch(train) [55][ 100/5005] lr: 1.0000e-02 eta: 1 day, 3:08:23 time: 0.4303 data_time: 0.0033 loss: 1.0081 03/04 23:04:10 - mmengine - INFO - Epoch(train) [55][ 200/5005] lr: 1.0000e-02 eta: 1 day, 3:07:40 time: 0.4171 data_time: 0.0029 loss: 1.0219 03/04 23:04:53 - mmengine - INFO - Epoch(train) [55][ 300/5005] lr: 1.0000e-02 eta: 1 day, 3:06:58 time: 0.4214 data_time: 0.0030 loss: 1.1379 03/04 23:05:36 - mmengine - INFO - Epoch(train) [55][ 400/5005] lr: 1.0000e-02 eta: 1 day, 3:06:15 time: 0.4273 data_time: 0.0032 loss: 1.0715 03/04 23:06:18 - mmengine - INFO - Epoch(train) [55][ 500/5005] lr: 1.0000e-02 eta: 1 day, 3:05:33 time: 0.4315 data_time: 0.0031 loss: 1.1846 03/04 23:07:01 - mmengine - INFO - Epoch(train) [55][ 600/5005] lr: 1.0000e-02 eta: 1 day, 3:04:50 time: 0.4253 data_time: 0.0029 loss: 1.0638 03/04 23:07:44 - mmengine - INFO - Epoch(train) [55][ 700/5005] lr: 1.0000e-02 eta: 1 day, 3:04:08 time: 0.4277 data_time: 0.0034 loss: 1.1257 03/04 23:07:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:08:27 - mmengine - INFO - Epoch(train) [55][ 800/5005] lr: 1.0000e-02 eta: 1 day, 3:03:26 time: 0.4242 data_time: 0.0029 loss: 0.9379 03/04 23:09:09 - mmengine - INFO - Epoch(train) [55][ 900/5005] lr: 1.0000e-02 eta: 1 day, 3:02:43 time: 0.4277 data_time: 0.0031 loss: 1.2224 03/04 23:09:52 - mmengine - INFO - Epoch(train) [55][1000/5005] lr: 1.0000e-02 eta: 1 day, 3:02:01 time: 0.4228 data_time: 0.0029 loss: 1.1230 03/04 23:10:34 - mmengine - INFO - Epoch(train) [55][1100/5005] lr: 1.0000e-02 eta: 1 day, 3:01:19 time: 0.4261 data_time: 0.0028 loss: 1.0652 03/04 23:11:17 - mmengine - INFO - Epoch(train) [55][1200/5005] lr: 1.0000e-02 eta: 1 day, 3:00:36 time: 0.4250 data_time: 0.0028 loss: 1.0562 03/04 23:11:59 - mmengine - INFO - Epoch(train) [55][1300/5005] lr: 1.0000e-02 eta: 1 day, 2:59:54 time: 0.4237 data_time: 0.0028 loss: 1.1560 03/04 23:12:42 - mmengine - INFO - Epoch(train) [55][1400/5005] lr: 1.0000e-02 eta: 1 day, 2:59:11 time: 0.4244 data_time: 0.0028 loss: 1.2026 03/04 23:13:25 - mmengine - INFO - Epoch(train) [55][1500/5005] lr: 1.0000e-02 eta: 1 day, 2:58:29 time: 0.4229 data_time: 0.0032 loss: 1.3054 03/04 23:14:07 - mmengine - INFO - Epoch(train) [55][1600/5005] lr: 1.0000e-02 eta: 1 day, 2:57:46 time: 0.4270 data_time: 0.0028 loss: 1.2527 03/04 23:14:50 - mmengine - INFO - Epoch(train) [55][1700/5005] lr: 1.0000e-02 eta: 1 day, 2:57:04 time: 0.4248 data_time: 0.0031 loss: 1.2457 03/04 23:15:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:15:32 - mmengine - INFO - Epoch(train) [55][1800/5005] lr: 1.0000e-02 eta: 1 day, 2:56:22 time: 0.4304 data_time: 0.0028 loss: 1.1872 03/04 23:16:15 - mmengine - INFO - Epoch(train) [55][1900/5005] lr: 1.0000e-02 eta: 1 day, 2:55:39 time: 0.4246 data_time: 0.0030 loss: 1.2419 03/04 23:16:58 - mmengine - INFO - Epoch(train) [55][2000/5005] lr: 1.0000e-02 eta: 1 day, 2:54:57 time: 0.4266 data_time: 0.0029 loss: 1.0588 03/04 23:17:40 - mmengine - INFO - Epoch(train) [55][2100/5005] lr: 1.0000e-02 eta: 1 day, 2:54:14 time: 0.4281 data_time: 0.0028 loss: 1.1046 03/04 23:18:23 - mmengine - INFO - Epoch(train) [55][2200/5005] lr: 1.0000e-02 eta: 1 day, 2:53:32 time: 0.4274 data_time: 0.0032 loss: 1.0844 03/04 23:19:05 - mmengine - INFO - Epoch(train) [55][2300/5005] lr: 1.0000e-02 eta: 1 day, 2:52:50 time: 0.4211 data_time: 0.0029 loss: 1.0903 03/04 23:19:48 - mmengine - INFO - Epoch(train) [55][2400/5005] lr: 1.0000e-02 eta: 1 day, 2:52:07 time: 0.4260 data_time: 0.0029 loss: 1.2291 03/04 23:20:30 - mmengine - INFO - Epoch(train) [55][2500/5005] lr: 1.0000e-02 eta: 1 day, 2:51:25 time: 0.4218 data_time: 0.0029 loss: 1.1635 03/04 23:21:13 - mmengine - INFO - Epoch(train) [55][2600/5005] lr: 1.0000e-02 eta: 1 day, 2:50:42 time: 0.4294 data_time: 0.0030 loss: 1.0461 03/04 23:21:56 - mmengine - INFO - Epoch(train) [55][2700/5005] lr: 1.0000e-02 eta: 1 day, 2:50:00 time: 0.4250 data_time: 0.0031 loss: 1.1819 03/04 23:22:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:22:38 - mmengine - INFO - Epoch(train) [55][2800/5005] lr: 1.0000e-02 eta: 1 day, 2:49:17 time: 0.4233 data_time: 0.0031 loss: 1.3322 03/04 23:23:21 - mmengine - INFO - Epoch(train) [55][2900/5005] lr: 1.0000e-02 eta: 1 day, 2:48:35 time: 0.4289 data_time: 0.0030 loss: 1.4138 03/04 23:24:04 - mmengine - INFO - Epoch(train) [55][3000/5005] lr: 1.0000e-02 eta: 1 day, 2:47:53 time: 0.4206 data_time: 0.0029 loss: 1.1551 03/04 23:24:46 - mmengine - INFO - Epoch(train) [55][3100/5005] lr: 1.0000e-02 eta: 1 day, 2:47:10 time: 0.4257 data_time: 0.0028 loss: 1.0481 03/04 23:25:29 - mmengine - INFO - Epoch(train) [55][3200/5005] lr: 1.0000e-02 eta: 1 day, 2:46:28 time: 0.4250 data_time: 0.0028 loss: 1.4174 03/04 23:26:12 - mmengine - INFO - Epoch(train) [55][3300/5005] lr: 1.0000e-02 eta: 1 day, 2:45:46 time: 0.4254 data_time: 0.0029 loss: 1.3563 03/04 23:26:54 - mmengine - INFO - Epoch(train) [55][3400/5005] lr: 1.0000e-02 eta: 1 day, 2:45:03 time: 0.4237 data_time: 0.0030 loss: 1.0484 03/04 23:27:37 - mmengine - INFO - Epoch(train) [55][3500/5005] lr: 1.0000e-02 eta: 1 day, 2:44:21 time: 0.4211 data_time: 0.0030 loss: 1.1465 03/04 23:28:19 - mmengine - INFO - Epoch(train) [55][3600/5005] lr: 1.0000e-02 eta: 1 day, 2:43:38 time: 0.4315 data_time: 0.0028 loss: 0.9527 03/04 23:29:02 - mmengine - INFO - Epoch(train) [55][3700/5005] lr: 1.0000e-02 eta: 1 day, 2:42:56 time: 0.4235 data_time: 0.0028 loss: 1.0629 03/04 23:29:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:29:45 - mmengine - INFO - Epoch(train) [55][3800/5005] lr: 1.0000e-02 eta: 1 day, 2:42:14 time: 0.4393 data_time: 0.0028 loss: 1.0929 03/04 23:30:27 - mmengine - INFO - Epoch(train) [55][3900/5005] lr: 1.0000e-02 eta: 1 day, 2:41:31 time: 0.4255 data_time: 0.0028 loss: 1.1045 03/04 23:31:10 - mmengine - INFO - Epoch(train) [55][4000/5005] lr: 1.0000e-02 eta: 1 day, 2:40:49 time: 0.4263 data_time: 0.0029 loss: 1.1651 03/04 23:31:53 - mmengine - INFO - Epoch(train) [55][4100/5005] lr: 1.0000e-02 eta: 1 day, 2:40:07 time: 0.4207 data_time: 0.0029 loss: 1.1319 03/04 23:32:35 - mmengine - INFO - Epoch(train) [55][4200/5005] lr: 1.0000e-02 eta: 1 day, 2:39:24 time: 0.4249 data_time: 0.0029 loss: 1.1546 03/04 23:33:18 - mmengine - INFO - Epoch(train) [55][4300/5005] lr: 1.0000e-02 eta: 1 day, 2:38:42 time: 0.4190 data_time: 0.0029 loss: 1.3082 03/04 23:34:01 - mmengine - INFO - Epoch(train) [55][4400/5005] lr: 1.0000e-02 eta: 1 day, 2:37:59 time: 0.4216 data_time: 0.0029 loss: 1.0995 03/04 23:34:43 - mmengine - INFO - Epoch(train) [55][4500/5005] lr: 1.0000e-02 eta: 1 day, 2:37:17 time: 0.4309 data_time: 0.0029 loss: 1.1806 03/04 23:35:26 - mmengine - INFO - Epoch(train) [55][4600/5005] lr: 1.0000e-02 eta: 1 day, 2:36:34 time: 0.4238 data_time: 0.0029 loss: 1.1484 03/04 23:36:08 - mmengine - INFO - Epoch(train) [55][4700/5005] lr: 1.0000e-02 eta: 1 day, 2:35:52 time: 0.4176 data_time: 0.0029 loss: 1.1465 03/04 23:36:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:36:51 - mmengine - INFO - Epoch(train) [55][4800/5005] lr: 1.0000e-02 eta: 1 day, 2:35:10 time: 0.4284 data_time: 0.0029 loss: 1.2916 03/04 23:37:33 - mmengine - INFO - Epoch(train) [55][4900/5005] lr: 1.0000e-02 eta: 1 day, 2:34:27 time: 0.4228 data_time: 0.0029 loss: 1.2154 03/04 23:38:16 - mmengine - INFO - Epoch(train) [55][5000/5005] lr: 1.0000e-02 eta: 1 day, 2:33:45 time: 0.4311 data_time: 0.0027 loss: 1.1851 03/04 23:38:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:38:19 - mmengine - INFO - Saving checkpoint at 55 epochs 03/04 23:38:31 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:00:08 time: 0.0287 data_time: 0.0006 03/04 23:38:45 - mmengine - INFO - Epoch(val) [55][196/196] accuracy/top1: 74.4560 accuracy/top5: 92.4160 03/04 23:39:31 - mmengine - INFO - Epoch(train) [56][ 100/5005] lr: 1.0000e-02 eta: 1 day, 2:33:03 time: 0.4224 data_time: 0.0031 loss: 1.4382 03/04 23:40:14 - mmengine - INFO - Epoch(train) [56][ 200/5005] lr: 1.0000e-02 eta: 1 day, 2:32:20 time: 0.4237 data_time: 0.0029 loss: 1.0889 03/04 23:40:56 - mmengine - INFO - Epoch(train) [56][ 300/5005] lr: 1.0000e-02 eta: 1 day, 2:31:38 time: 0.4242 data_time: 0.0028 loss: 1.1340 03/04 23:41:39 - mmengine - INFO - Epoch(train) [56][ 400/5005] lr: 1.0000e-02 eta: 1 day, 2:30:56 time: 0.4255 data_time: 0.0030 loss: 1.1508 03/04 23:42:22 - mmengine - INFO - Epoch(train) [56][ 500/5005] lr: 1.0000e-02 eta: 1 day, 2:30:13 time: 0.4229 data_time: 0.0028 loss: 1.0926 03/04 23:43:04 - mmengine - INFO - Epoch(train) [56][ 600/5005] lr: 1.0000e-02 eta: 1 day, 2:29:31 time: 0.4220 data_time: 0.0028 loss: 1.1976 03/04 23:43:47 - mmengine - INFO - Epoch(train) [56][ 700/5005] lr: 1.0000e-02 eta: 1 day, 2:28:48 time: 0.4403 data_time: 0.0030 loss: 1.1158 03/04 23:43:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:44:29 - mmengine - INFO - Epoch(train) [56][ 800/5005] lr: 1.0000e-02 eta: 1 day, 2:28:06 time: 0.4262 data_time: 0.0029 loss: 0.9779 03/04 23:45:12 - mmengine - INFO - Epoch(train) [56][ 900/5005] lr: 1.0000e-02 eta: 1 day, 2:27:23 time: 0.4221 data_time: 0.0029 loss: 1.1375 03/04 23:45:55 - mmengine - INFO - Epoch(train) [56][1000/5005] lr: 1.0000e-02 eta: 1 day, 2:26:41 time: 0.4311 data_time: 0.0031 loss: 1.2084 03/04 23:46:37 - mmengine - INFO - Epoch(train) [56][1100/5005] lr: 1.0000e-02 eta: 1 day, 2:25:59 time: 0.4241 data_time: 0.0028 loss: 1.2023 03/04 23:47:20 - mmengine - INFO - Epoch(train) [56][1200/5005] lr: 1.0000e-02 eta: 1 day, 2:25:16 time: 0.4202 data_time: 0.0031 loss: 1.0129 03/04 23:48:02 - mmengine - INFO - Epoch(train) [56][1300/5005] lr: 1.0000e-02 eta: 1 day, 2:24:34 time: 0.4257 data_time: 0.0031 loss: 1.1650 03/04 23:48:45 - mmengine - INFO - Epoch(train) [56][1400/5005] lr: 1.0000e-02 eta: 1 day, 2:23:51 time: 0.4250 data_time: 0.0031 loss: 1.1413 03/04 23:49:27 - mmengine - INFO - Epoch(train) [56][1500/5005] lr: 1.0000e-02 eta: 1 day, 2:23:09 time: 0.4271 data_time: 0.0030 loss: 1.1955 03/04 23:50:10 - mmengine - INFO - Epoch(train) [56][1600/5005] lr: 1.0000e-02 eta: 1 day, 2:22:26 time: 0.4239 data_time: 0.0028 loss: 1.0235 03/04 23:50:52 - mmengine - INFO - Epoch(train) [56][1700/5005] lr: 1.0000e-02 eta: 1 day, 2:21:44 time: 0.4234 data_time: 0.0028 loss: 1.1494 03/04 23:51:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:51:35 - mmengine - INFO - Epoch(train) [56][1800/5005] lr: 1.0000e-02 eta: 1 day, 2:21:01 time: 0.4220 data_time: 0.0031 loss: 1.1083 03/04 23:52:17 - mmengine - INFO - Epoch(train) [56][1900/5005] lr: 1.0000e-02 eta: 1 day, 2:20:19 time: 0.4225 data_time: 0.0029 loss: 1.3806 03/04 23:53:00 - mmengine - INFO - Epoch(train) [56][2000/5005] lr: 1.0000e-02 eta: 1 day, 2:19:36 time: 0.4323 data_time: 0.0031 loss: 1.2036 03/04 23:53:42 - mmengine - INFO - Epoch(train) [56][2100/5005] lr: 1.0000e-02 eta: 1 day, 2:18:54 time: 0.4289 data_time: 0.0031 loss: 1.1114 03/04 23:54:25 - mmengine - INFO - Epoch(train) [56][2200/5005] lr: 1.0000e-02 eta: 1 day, 2:18:11 time: 0.4241 data_time: 0.0029 loss: 1.1352 03/04 23:55:07 - mmengine - INFO - Epoch(train) [56][2300/5005] lr: 1.0000e-02 eta: 1 day, 2:17:29 time: 0.4306 data_time: 0.0032 loss: 1.1187 03/04 23:55:50 - mmengine - INFO - Epoch(train) [56][2400/5005] lr: 1.0000e-02 eta: 1 day, 2:16:46 time: 0.4299 data_time: 0.0028 loss: 1.0823 03/04 23:56:33 - mmengine - INFO - Epoch(train) [56][2500/5005] lr: 1.0000e-02 eta: 1 day, 2:16:04 time: 0.4199 data_time: 0.0031 loss: 1.2616 03/04 23:57:15 - mmengine - INFO - Epoch(train) [56][2600/5005] lr: 1.0000e-02 eta: 1 day, 2:15:21 time: 0.4288 data_time: 0.0029 loss: 1.1540 03/04 23:57:58 - mmengine - INFO - Epoch(train) [56][2700/5005] lr: 1.0000e-02 eta: 1 day, 2:14:39 time: 0.4273 data_time: 0.0029 loss: 1.1429 03/04 23:58:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/04 23:58:40 - mmengine - INFO - Epoch(train) [56][2800/5005] lr: 1.0000e-02 eta: 1 day, 2:13:56 time: 0.4199 data_time: 0.0030 loss: 0.9932 03/04 23:59:23 - mmengine - INFO - Epoch(train) [56][2900/5005] lr: 1.0000e-02 eta: 1 day, 2:13:14 time: 0.4242 data_time: 0.0028 loss: 1.1327 03/05 00:00:05 - mmengine - INFO - Epoch(train) [56][3000/5005] lr: 1.0000e-02 eta: 1 day, 2:12:32 time: 0.4217 data_time: 0.0030 loss: 1.3947 03/05 00:00:48 - mmengine - INFO - Epoch(train) [56][3100/5005] lr: 1.0000e-02 eta: 1 day, 2:11:49 time: 0.4259 data_time: 0.0029 loss: 1.2218 03/05 00:01:30 - mmengine - INFO - Epoch(train) [56][3200/5005] lr: 1.0000e-02 eta: 1 day, 2:11:07 time: 0.4227 data_time: 0.0029 loss: 1.1210 03/05 00:02:13 - mmengine - INFO - Epoch(train) [56][3300/5005] lr: 1.0000e-02 eta: 1 day, 2:10:24 time: 0.4201 data_time: 0.0030 loss: 1.4330 03/05 00:02:55 - mmengine - INFO - Epoch(train) [56][3400/5005] lr: 1.0000e-02 eta: 1 day, 2:09:42 time: 0.4248 data_time: 0.0028 loss: 1.2054 03/05 00:03:38 - mmengine - INFO - Epoch(train) [56][3500/5005] lr: 1.0000e-02 eta: 1 day, 2:08:59 time: 0.4246 data_time: 0.0030 loss: 1.1548 03/05 00:04:20 - mmengine - INFO - Epoch(train) [56][3600/5005] lr: 1.0000e-02 eta: 1 day, 2:08:17 time: 0.4236 data_time: 0.0029 loss: 1.1389 03/05 00:05:03 - mmengine - INFO - Epoch(train) [56][3700/5005] lr: 1.0000e-02 eta: 1 day, 2:07:34 time: 0.4243 data_time: 0.0028 loss: 1.2535 03/05 00:05:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:05:46 - mmengine - INFO - Epoch(train) [56][3800/5005] lr: 1.0000e-02 eta: 1 day, 2:06:52 time: 0.4233 data_time: 0.0029 loss: 1.0058 03/05 00:06:28 - mmengine - INFO - Epoch(train) [56][3900/5005] lr: 1.0000e-02 eta: 1 day, 2:06:09 time: 0.4258 data_time: 0.0030 loss: 1.1432 03/05 00:07:11 - mmengine - INFO - Epoch(train) [56][4000/5005] lr: 1.0000e-02 eta: 1 day, 2:05:27 time: 0.4248 data_time: 0.0030 loss: 0.9838 03/05 00:07:53 - mmengine - INFO - Epoch(train) [56][4100/5005] lr: 1.0000e-02 eta: 1 day, 2:04:44 time: 0.4226 data_time: 0.0028 loss: 1.3601 03/05 00:08:35 - mmengine - INFO - Epoch(train) [56][4200/5005] lr: 1.0000e-02 eta: 1 day, 2:04:02 time: 0.4183 data_time: 0.0030 loss: 1.2072 03/05 00:09:18 - mmengine - INFO - Epoch(train) [56][4300/5005] lr: 1.0000e-02 eta: 1 day, 2:03:19 time: 0.4300 data_time: 0.0029 loss: 1.3752 03/05 00:10:01 - mmengine - INFO - Epoch(train) [56][4400/5005] lr: 1.0000e-02 eta: 1 day, 2:02:37 time: 0.4227 data_time: 0.0033 loss: 1.1351 03/05 00:10:43 - mmengine - INFO - Epoch(train) [56][4500/5005] lr: 1.0000e-02 eta: 1 day, 2:01:55 time: 0.4286 data_time: 0.0029 loss: 1.4016 03/05 00:11:26 - mmengine - INFO - Epoch(train) [56][4600/5005] lr: 1.0000e-02 eta: 1 day, 2:01:12 time: 0.4282 data_time: 0.0030 loss: 1.0581 03/05 00:12:08 - mmengine - INFO - Epoch(train) [56][4700/5005] lr: 1.0000e-02 eta: 1 day, 2:00:29 time: 0.4208 data_time: 0.0029 loss: 0.9579 03/05 00:12:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:12:51 - mmengine - INFO - Epoch(train) [56][4800/5005] lr: 1.0000e-02 eta: 1 day, 1:59:47 time: 0.4206 data_time: 0.0031 loss: 1.2878 03/05 00:13:33 - mmengine - INFO - Epoch(train) [56][4900/5005] lr: 1.0000e-02 eta: 1 day, 1:59:04 time: 0.4259 data_time: 0.0030 loss: 1.0845 03/05 00:14:16 - mmengine - INFO - Epoch(train) [56][5000/5005] lr: 1.0000e-02 eta: 1 day, 1:58:22 time: 0.4221 data_time: 0.0031 loss: 1.2484 03/05 00:14:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:14:19 - mmengine - INFO - Saving checkpoint at 56 epochs 03/05 00:14:30 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:00:08 time: 0.0282 data_time: 0.0005 03/05 00:14:44 - mmengine - INFO - Epoch(val) [56][196/196] accuracy/top1: 74.3220 accuracy/top5: 92.1840 03/05 00:15:30 - mmengine - INFO - Epoch(train) [57][ 100/5005] lr: 1.0000e-02 eta: 1 day, 1:57:40 time: 0.4336 data_time: 0.0031 loss: 0.9587 03/05 00:16:13 - mmengine - INFO - Epoch(train) [57][ 200/5005] lr: 1.0000e-02 eta: 1 day, 1:56:58 time: 0.4253 data_time: 0.0032 loss: 1.0766 03/05 00:16:55 - mmengine - INFO - Epoch(train) [57][ 300/5005] lr: 1.0000e-02 eta: 1 day, 1:56:15 time: 0.4234 data_time: 0.0028 loss: 1.2130 03/05 00:17:38 - mmengine - INFO - Epoch(train) [57][ 400/5005] lr: 1.0000e-02 eta: 1 day, 1:55:33 time: 0.4218 data_time: 0.0029 loss: 1.1303 03/05 00:18:20 - mmengine - INFO - Epoch(train) [57][ 500/5005] lr: 1.0000e-02 eta: 1 day, 1:54:50 time: 0.4249 data_time: 0.0029 loss: 1.1752 03/05 00:19:03 - mmengine - INFO - Epoch(train) [57][ 600/5005] lr: 1.0000e-02 eta: 1 day, 1:54:08 time: 0.4227 data_time: 0.0030 loss: 1.2992 03/05 00:19:45 - mmengine - INFO - Epoch(train) [57][ 700/5005] lr: 1.0000e-02 eta: 1 day, 1:53:25 time: 0.4215 data_time: 0.0029 loss: 1.1992 03/05 00:19:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:20:28 - mmengine - INFO - Epoch(train) [57][ 800/5005] lr: 1.0000e-02 eta: 1 day, 1:52:43 time: 0.4227 data_time: 0.0030 loss: 1.0241 03/05 00:21:10 - mmengine - INFO - Epoch(train) [57][ 900/5005] lr: 1.0000e-02 eta: 1 day, 1:52:00 time: 0.4269 data_time: 0.0028 loss: 1.1378 03/05 00:21:53 - mmengine - INFO - Epoch(train) [57][1000/5005] lr: 1.0000e-02 eta: 1 day, 1:51:18 time: 0.4243 data_time: 0.0029 loss: 0.9470 03/05 00:22:35 - mmengine - INFO - Epoch(train) [57][1100/5005] lr: 1.0000e-02 eta: 1 day, 1:50:35 time: 0.4236 data_time: 0.0030 loss: 1.0065 03/05 00:23:18 - mmengine - INFO - Epoch(train) [57][1200/5005] lr: 1.0000e-02 eta: 1 day, 1:49:53 time: 0.4225 data_time: 0.0032 loss: 1.1376 03/05 00:24:00 - mmengine - INFO - Epoch(train) [57][1300/5005] lr: 1.0000e-02 eta: 1 day, 1:49:10 time: 0.4255 data_time: 0.0030 loss: 1.0988 03/05 00:24:43 - mmengine - INFO - Epoch(train) [57][1400/5005] lr: 1.0000e-02 eta: 1 day, 1:48:28 time: 0.4217 data_time: 0.0028 loss: 1.1983 03/05 00:25:25 - mmengine - INFO - Epoch(train) [57][1500/5005] lr: 1.0000e-02 eta: 1 day, 1:47:45 time: 0.4255 data_time: 0.0032 loss: 1.2107 03/05 00:26:08 - mmengine - INFO - Epoch(train) [57][1600/5005] lr: 1.0000e-02 eta: 1 day, 1:47:03 time: 0.4225 data_time: 0.0030 loss: 1.1759 03/05 00:26:50 - mmengine - INFO - Epoch(train) [57][1700/5005] lr: 1.0000e-02 eta: 1 day, 1:46:20 time: 0.4254 data_time: 0.0029 loss: 1.0927 03/05 00:26:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:27:33 - mmengine - INFO - Epoch(train) [57][1800/5005] lr: 1.0000e-02 eta: 1 day, 1:45:38 time: 0.4205 data_time: 0.0031 loss: 1.1647 03/05 00:28:15 - mmengine - INFO - Epoch(train) [57][1900/5005] lr: 1.0000e-02 eta: 1 day, 1:44:55 time: 0.4250 data_time: 0.0030 loss: 1.0570 03/05 00:28:58 - mmengine - INFO - Epoch(train) [57][2000/5005] lr: 1.0000e-02 eta: 1 day, 1:44:13 time: 0.4236 data_time: 0.0031 loss: 1.1036 03/05 00:29:40 - mmengine - INFO - Epoch(train) [57][2100/5005] lr: 1.0000e-02 eta: 1 day, 1:43:30 time: 0.4221 data_time: 0.0031 loss: 1.0193 03/05 00:30:23 - mmengine - INFO - Epoch(train) [57][2200/5005] lr: 1.0000e-02 eta: 1 day, 1:42:48 time: 0.4248 data_time: 0.0030 loss: 1.1025 03/05 00:31:06 - mmengine - INFO - Epoch(train) [57][2300/5005] lr: 1.0000e-02 eta: 1 day, 1:42:05 time: 0.4200 data_time: 0.0030 loss: 1.0929 03/05 00:31:48 - mmengine - INFO - Epoch(train) [57][2400/5005] lr: 1.0000e-02 eta: 1 day, 1:41:23 time: 0.4255 data_time: 0.0030 loss: 1.1994 03/05 00:32:31 - mmengine - INFO - Epoch(train) [57][2500/5005] lr: 1.0000e-02 eta: 1 day, 1:40:40 time: 0.4246 data_time: 0.0029 loss: 1.1287 03/05 00:33:13 - mmengine - INFO - Epoch(train) [57][2600/5005] lr: 1.0000e-02 eta: 1 day, 1:39:58 time: 0.4274 data_time: 0.0029 loss: 1.0763 03/05 00:33:56 - mmengine - INFO - Epoch(train) [57][2700/5005] lr: 1.0000e-02 eta: 1 day, 1:39:16 time: 0.4247 data_time: 0.0031 loss: 1.1362 03/05 00:34:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:34:38 - mmengine - INFO - Epoch(train) [57][2800/5005] lr: 1.0000e-02 eta: 1 day, 1:38:33 time: 0.4247 data_time: 0.0031 loss: 1.1221 03/05 00:35:21 - mmengine - INFO - Epoch(train) [57][2900/5005] lr: 1.0000e-02 eta: 1 day, 1:37:51 time: 0.4230 data_time: 0.0032 loss: 1.3022 03/05 00:36:03 - mmengine - INFO - Epoch(train) [57][3000/5005] lr: 1.0000e-02 eta: 1 day, 1:37:08 time: 0.4239 data_time: 0.0029 loss: 1.0390 03/05 00:36:46 - mmengine - INFO - Epoch(train) [57][3100/5005] lr: 1.0000e-02 eta: 1 day, 1:36:26 time: 0.4250 data_time: 0.0028 loss: 1.1662 03/05 00:37:28 - mmengine - INFO - Epoch(train) [57][3200/5005] lr: 1.0000e-02 eta: 1 day, 1:35:43 time: 0.4293 data_time: 0.0030 loss: 1.1338 03/05 00:38:11 - mmengine - INFO - Epoch(train) [57][3300/5005] lr: 1.0000e-02 eta: 1 day, 1:35:01 time: 0.4252 data_time: 0.0032 loss: 1.2771 03/05 00:38:53 - mmengine - INFO - Epoch(train) [57][3400/5005] lr: 1.0000e-02 eta: 1 day, 1:34:18 time: 0.4213 data_time: 0.0031 loss: 1.1735 03/05 00:39:36 - mmengine - INFO - Epoch(train) [57][3500/5005] lr: 1.0000e-02 eta: 1 day, 1:33:36 time: 0.4201 data_time: 0.0029 loss: 1.0780 03/05 00:40:18 - mmengine - INFO - Epoch(train) [57][3600/5005] lr: 1.0000e-02 eta: 1 day, 1:32:53 time: 0.4221 data_time: 0.0029 loss: 1.0988 03/05 00:41:01 - mmengine - INFO - Epoch(train) [57][3700/5005] lr: 1.0000e-02 eta: 1 day, 1:32:11 time: 0.4277 data_time: 0.0028 loss: 1.1402 03/05 00:41:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:41:43 - mmengine - INFO - Epoch(train) [57][3800/5005] lr: 1.0000e-02 eta: 1 day, 1:31:28 time: 0.4259 data_time: 0.0028 loss: 1.0698 03/05 00:42:26 - mmengine - INFO - Epoch(train) [57][3900/5005] lr: 1.0000e-02 eta: 1 day, 1:30:46 time: 0.4244 data_time: 0.0029 loss: 1.1742 03/05 00:43:08 - mmengine - INFO - Epoch(train) [57][4000/5005] lr: 1.0000e-02 eta: 1 day, 1:30:03 time: 0.4234 data_time: 0.0029 loss: 1.1519 03/05 00:43:51 - mmengine - INFO - Epoch(train) [57][4100/5005] lr: 1.0000e-02 eta: 1 day, 1:29:21 time: 0.4246 data_time: 0.0028 loss: 1.1089 03/05 00:44:33 - mmengine - INFO - Epoch(train) [57][4200/5005] lr: 1.0000e-02 eta: 1 day, 1:28:38 time: 0.4258 data_time: 0.0031 loss: 1.2679 03/05 00:45:16 - mmengine - INFO - Epoch(train) [57][4300/5005] lr: 1.0000e-02 eta: 1 day, 1:27:56 time: 0.4244 data_time: 0.0028 loss: 1.0257 03/05 00:45:58 - mmengine - INFO - Epoch(train) [57][4400/5005] lr: 1.0000e-02 eta: 1 day, 1:27:13 time: 0.4228 data_time: 0.0030 loss: 1.2246 03/05 00:46:41 - mmengine - INFO - Epoch(train) [57][4500/5005] lr: 1.0000e-02 eta: 1 day, 1:26:31 time: 0.4233 data_time: 0.0029 loss: 1.1932 03/05 00:47:23 - mmengine - INFO - Epoch(train) [57][4600/5005] lr: 1.0000e-02 eta: 1 day, 1:25:48 time: 0.4220 data_time: 0.0029 loss: 1.0487 03/05 00:48:06 - mmengine - INFO - Epoch(train) [57][4700/5005] lr: 1.0000e-02 eta: 1 day, 1:25:06 time: 0.4215 data_time: 0.0031 loss: 1.2569 03/05 00:48:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:48:49 - mmengine - INFO - Epoch(train) [57][4800/5005] lr: 1.0000e-02 eta: 1 day, 1:24:23 time: 0.4296 data_time: 0.0030 loss: 1.2390 03/05 00:49:31 - mmengine - INFO - Epoch(train) [57][4900/5005] lr: 1.0000e-02 eta: 1 day, 1:23:41 time: 0.4235 data_time: 0.0028 loss: 1.2234 03/05 00:50:13 - mmengine - INFO - Epoch(train) [57][5000/5005] lr: 1.0000e-02 eta: 1 day, 1:22:58 time: 0.4206 data_time: 0.0033 loss: 1.3037 03/05 00:50:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:50:16 - mmengine - INFO - Saving checkpoint at 57 epochs 03/05 00:50:28 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:00:08 time: 0.0284 data_time: 0.0005 03/05 00:50:42 - mmengine - INFO - Epoch(val) [57][196/196] accuracy/top1: 74.5000 accuracy/top5: 92.3960 03/05 00:51:28 - mmengine - INFO - Epoch(train) [58][ 100/5005] lr: 1.0000e-02 eta: 1 day, 1:22:16 time: 0.4206 data_time: 0.0029 loss: 1.1145 03/05 00:52:10 - mmengine - INFO - Epoch(train) [58][ 200/5005] lr: 1.0000e-02 eta: 1 day, 1:21:33 time: 0.4275 data_time: 0.0029 loss: 1.1380 03/05 00:52:52 - mmengine - INFO - Epoch(train) [58][ 300/5005] lr: 1.0000e-02 eta: 1 day, 1:20:51 time: 0.4240 data_time: 0.0029 loss: 1.2114 03/05 00:53:35 - mmengine - INFO - Epoch(train) [58][ 400/5005] lr: 1.0000e-02 eta: 1 day, 1:20:08 time: 0.4221 data_time: 0.0029 loss: 1.1394 03/05 00:54:17 - mmengine - INFO - Epoch(train) [58][ 500/5005] lr: 1.0000e-02 eta: 1 day, 1:19:26 time: 0.4227 data_time: 0.0028 loss: 1.1003 03/05 00:55:00 - mmengine - INFO - Epoch(train) [58][ 600/5005] lr: 1.0000e-02 eta: 1 day, 1:18:43 time: 0.4262 data_time: 0.0030 loss: 1.0522 03/05 00:55:42 - mmengine - INFO - Epoch(train) [58][ 700/5005] lr: 1.0000e-02 eta: 1 day, 1:18:01 time: 0.4217 data_time: 0.0028 loss: 1.1804 03/05 00:55:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 00:56:25 - mmengine - INFO - Epoch(train) [58][ 800/5005] lr: 1.0000e-02 eta: 1 day, 1:17:18 time: 0.4305 data_time: 0.0029 loss: 1.0250 03/05 00:57:07 - mmengine - INFO - Epoch(train) [58][ 900/5005] lr: 1.0000e-02 eta: 1 day, 1:16:36 time: 0.4202 data_time: 0.0028 loss: 1.1834 03/05 00:57:49 - mmengine - INFO - Epoch(train) [58][1000/5005] lr: 1.0000e-02 eta: 1 day, 1:15:53 time: 0.4235 data_time: 0.0030 loss: 1.0764 03/05 00:58:32 - mmengine - INFO - Epoch(train) [58][1100/5005] lr: 1.0000e-02 eta: 1 day, 1:15:11 time: 0.4284 data_time: 0.0028 loss: 0.9897 03/05 00:59:15 - mmengine - INFO - Epoch(train) [58][1200/5005] lr: 1.0000e-02 eta: 1 day, 1:14:28 time: 0.4247 data_time: 0.0030 loss: 1.1076 03/05 00:59:57 - mmengine - INFO - Epoch(train) [58][1300/5005] lr: 1.0000e-02 eta: 1 day, 1:13:45 time: 0.4215 data_time: 0.0032 loss: 1.0971 03/05 01:00:39 - mmengine - INFO - Epoch(train) [58][1400/5005] lr: 1.0000e-02 eta: 1 day, 1:13:03 time: 0.4327 data_time: 0.0029 loss: 1.1039 03/05 01:01:22 - mmengine - INFO - Epoch(train) [58][1500/5005] lr: 1.0000e-02 eta: 1 day, 1:12:20 time: 0.4243 data_time: 0.0029 loss: 1.1759 03/05 01:02:04 - mmengine - INFO - Epoch(train) [58][1600/5005] lr: 1.0000e-02 eta: 1 day, 1:11:38 time: 0.4252 data_time: 0.0029 loss: 1.1543 03/05 01:02:47 - mmengine - INFO - Epoch(train) [58][1700/5005] lr: 1.0000e-02 eta: 1 day, 1:10:55 time: 0.4202 data_time: 0.0032 loss: 1.2463 03/05 01:02:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:03:29 - mmengine - INFO - Epoch(train) [58][1800/5005] lr: 1.0000e-02 eta: 1 day, 1:10:13 time: 0.4227 data_time: 0.0029 loss: 1.2069 03/05 01:04:12 - mmengine - INFO - Epoch(train) [58][1900/5005] lr: 1.0000e-02 eta: 1 day, 1:09:30 time: 0.4219 data_time: 0.0030 loss: 1.1848 03/05 01:04:54 - mmengine - INFO - Epoch(train) [58][2000/5005] lr: 1.0000e-02 eta: 1 day, 1:08:48 time: 0.4195 data_time: 0.0029 loss: 1.5369 03/05 01:05:37 - mmengine - INFO - Epoch(train) [58][2100/5005] lr: 1.0000e-02 eta: 1 day, 1:08:05 time: 0.4207 data_time: 0.0029 loss: 1.0915 03/05 01:06:19 - mmengine - INFO - Epoch(train) [58][2200/5005] lr: 1.0000e-02 eta: 1 day, 1:07:23 time: 0.4253 data_time: 0.0029 loss: 1.2645 03/05 01:07:01 - mmengine - INFO - Epoch(train) [58][2300/5005] lr: 1.0000e-02 eta: 1 day, 1:06:40 time: 0.4269 data_time: 0.0030 loss: 1.1030 03/05 01:07:44 - mmengine - INFO - Epoch(train) [58][2400/5005] lr: 1.0000e-02 eta: 1 day, 1:05:57 time: 0.4178 data_time: 0.0029 loss: 1.1150 03/05 01:08:26 - mmengine - INFO - Epoch(train) [58][2500/5005] lr: 1.0000e-02 eta: 1 day, 1:05:15 time: 0.4255 data_time: 0.0028 loss: 1.0362 03/05 01:09:08 - mmengine - INFO - Epoch(train) [58][2600/5005] lr: 1.0000e-02 eta: 1 day, 1:04:32 time: 0.4192 data_time: 0.0029 loss: 1.1257 03/05 01:09:51 - mmengine - INFO - Epoch(train) [58][2700/5005] lr: 1.0000e-02 eta: 1 day, 1:03:50 time: 0.4216 data_time: 0.0030 loss: 1.1906 03/05 01:09:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:10:33 - mmengine - INFO - Epoch(train) [58][2800/5005] lr: 1.0000e-02 eta: 1 day, 1:03:07 time: 0.4256 data_time: 0.0030 loss: 1.1430 03/05 01:11:16 - mmengine - INFO - Epoch(train) [58][2900/5005] lr: 1.0000e-02 eta: 1 day, 1:02:25 time: 0.4209 data_time: 0.0028 loss: 1.1768 03/05 01:11:58 - mmengine - INFO - Epoch(train) [58][3000/5005] lr: 1.0000e-02 eta: 1 day, 1:01:42 time: 0.4203 data_time: 0.0030 loss: 1.0994 03/05 01:12:41 - mmengine - INFO - Epoch(train) [58][3100/5005] lr: 1.0000e-02 eta: 1 day, 1:01:00 time: 0.4283 data_time: 0.0030 loss: 1.2823 03/05 01:13:23 - mmengine - INFO - Epoch(train) [58][3200/5005] lr: 1.0000e-02 eta: 1 day, 1:00:17 time: 0.4226 data_time: 0.0030 loss: 1.0638 03/05 01:14:06 - mmengine - INFO - Epoch(train) [58][3300/5005] lr: 1.0000e-02 eta: 1 day, 0:59:35 time: 0.4263 data_time: 0.0030 loss: 1.1180 03/05 01:14:48 - mmengine - INFO - Epoch(train) [58][3400/5005] lr: 1.0000e-02 eta: 1 day, 0:58:52 time: 0.4192 data_time: 0.0029 loss: 1.0170 03/05 01:15:31 - mmengine - INFO - Epoch(train) [58][3500/5005] lr: 1.0000e-02 eta: 1 day, 0:58:10 time: 0.4274 data_time: 0.0028 loss: 1.0851 03/05 01:16:13 - mmengine - INFO - Epoch(train) [58][3600/5005] lr: 1.0000e-02 eta: 1 day, 0:57:27 time: 0.4227 data_time: 0.0028 loss: 1.1945 03/05 01:16:56 - mmengine - INFO - Epoch(train) [58][3700/5005] lr: 1.0000e-02 eta: 1 day, 0:56:45 time: 0.4288 data_time: 0.0030 loss: 1.1650 03/05 01:17:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:17:39 - mmengine - INFO - Epoch(train) [58][3800/5005] lr: 1.0000e-02 eta: 1 day, 0:56:02 time: 0.4279 data_time: 0.0029 loss: 1.1390 03/05 01:18:21 - mmengine - INFO - Epoch(train) [58][3900/5005] lr: 1.0000e-02 eta: 1 day, 0:55:20 time: 0.4280 data_time: 0.0028 loss: 0.9935 03/05 01:19:04 - mmengine - INFO - Epoch(train) [58][4000/5005] lr: 1.0000e-02 eta: 1 day, 0:54:37 time: 0.4229 data_time: 0.0032 loss: 1.1644 03/05 01:19:46 - mmengine - INFO - Epoch(train) [58][4100/5005] lr: 1.0000e-02 eta: 1 day, 0:53:55 time: 0.4254 data_time: 0.0032 loss: 1.2005 03/05 01:20:29 - mmengine - INFO - Epoch(train) [58][4200/5005] lr: 1.0000e-02 eta: 1 day, 0:53:13 time: 0.4252 data_time: 0.0031 loss: 1.1237 03/05 01:21:12 - mmengine - INFO - Epoch(train) [58][4300/5005] lr: 1.0000e-02 eta: 1 day, 0:52:30 time: 0.4248 data_time: 0.0031 loss: 1.2030 03/05 01:21:54 - mmengine - INFO - Epoch(train) [58][4400/5005] lr: 1.0000e-02 eta: 1 day, 0:51:48 time: 0.4231 data_time: 0.0029 loss: 1.3455 03/05 01:22:37 - mmengine - INFO - Epoch(train) [58][4500/5005] lr: 1.0000e-02 eta: 1 day, 0:51:05 time: 0.4245 data_time: 0.0032 loss: 1.1582 03/05 01:23:20 - mmengine - INFO - Epoch(train) [58][4600/5005] lr: 1.0000e-02 eta: 1 day, 0:50:23 time: 0.4248 data_time: 0.0030 loss: 1.1741 03/05 01:24:02 - mmengine - INFO - Epoch(train) [58][4700/5005] lr: 1.0000e-02 eta: 1 day, 0:49:41 time: 0.4244 data_time: 0.0029 loss: 1.0411 03/05 01:24:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:24:45 - mmengine - INFO - Epoch(train) [58][4800/5005] lr: 1.0000e-02 eta: 1 day, 0:48:58 time: 0.4234 data_time: 0.0029 loss: 1.1937 03/05 01:25:27 - mmengine - INFO - Epoch(train) [58][4900/5005] lr: 1.0000e-02 eta: 1 day, 0:48:15 time: 0.4222 data_time: 0.0030 loss: 1.1701 03/05 01:26:09 - mmengine - INFO - Epoch(train) [58][5000/5005] lr: 1.0000e-02 eta: 1 day, 0:47:33 time: 0.4200 data_time: 0.0027 loss: 0.9827 03/05 01:26:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:26:12 - mmengine - INFO - Saving checkpoint at 58 epochs 03/05 01:26:24 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:00:08 time: 0.0485 data_time: 0.0006 03/05 01:26:38 - mmengine - INFO - Epoch(val) [58][196/196] accuracy/top1: 74.7120 accuracy/top5: 92.4700 03/05 01:27:24 - mmengine - INFO - Epoch(train) [59][ 100/5005] lr: 1.0000e-02 eta: 1 day, 0:46:51 time: 0.4279 data_time: 0.0032 loss: 1.0557 03/05 01:28:07 - mmengine - INFO - Epoch(train) [59][ 200/5005] lr: 1.0000e-02 eta: 1 day, 0:46:09 time: 0.4269 data_time: 0.0029 loss: 0.9557 03/05 01:28:50 - mmengine - INFO - Epoch(train) [59][ 300/5005] lr: 1.0000e-02 eta: 1 day, 0:45:26 time: 0.4329 data_time: 0.0029 loss: 1.2935 03/05 01:29:32 - mmengine - INFO - Epoch(train) [59][ 400/5005] lr: 1.0000e-02 eta: 1 day, 0:44:44 time: 0.4321 data_time: 0.0030 loss: 1.1705 03/05 01:30:15 - mmengine - INFO - Epoch(train) [59][ 500/5005] lr: 1.0000e-02 eta: 1 day, 0:44:02 time: 0.4277 data_time: 0.0031 loss: 1.0814 03/05 01:30:58 - mmengine - INFO - Epoch(train) [59][ 600/5005] lr: 1.0000e-02 eta: 1 day, 0:43:19 time: 0.4272 data_time: 0.0031 loss: 1.1930 03/05 01:31:41 - mmengine - INFO - Epoch(train) [59][ 700/5005] lr: 1.0000e-02 eta: 1 day, 0:42:37 time: 0.4301 data_time: 0.0033 loss: 1.0222 03/05 01:31:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:32:23 - mmengine - INFO - Epoch(train) [59][ 800/5005] lr: 1.0000e-02 eta: 1 day, 0:41:55 time: 0.4258 data_time: 0.0032 loss: 1.0856 03/05 01:33:06 - mmengine - INFO - Epoch(train) [59][ 900/5005] lr: 1.0000e-02 eta: 1 day, 0:41:12 time: 0.4319 data_time: 0.0029 loss: 1.3528 03/05 01:33:48 - mmengine - INFO - Epoch(train) [59][1000/5005] lr: 1.0000e-02 eta: 1 day, 0:40:30 time: 0.4237 data_time: 0.0029 loss: 1.0321 03/05 01:34:31 - mmengine - INFO - Epoch(train) [59][1100/5005] lr: 1.0000e-02 eta: 1 day, 0:39:47 time: 0.4273 data_time: 0.0028 loss: 1.1754 03/05 01:35:14 - mmengine - INFO - Epoch(train) [59][1200/5005] lr: 1.0000e-02 eta: 1 day, 0:39:05 time: 0.4359 data_time: 0.0028 loss: 1.1185 03/05 01:35:57 - mmengine - INFO - Epoch(train) [59][1300/5005] lr: 1.0000e-02 eta: 1 day, 0:38:23 time: 0.4266 data_time: 0.0030 loss: 1.1206 03/05 01:36:39 - mmengine - INFO - Epoch(train) [59][1400/5005] lr: 1.0000e-02 eta: 1 day, 0:37:40 time: 0.4286 data_time: 0.0029 loss: 1.2089 03/05 01:37:22 - mmengine - INFO - Epoch(train) [59][1500/5005] lr: 1.0000e-02 eta: 1 day, 0:36:58 time: 0.4209 data_time: 0.0029 loss: 1.2317 03/05 01:38:05 - mmengine - INFO - Epoch(train) [59][1600/5005] lr: 1.0000e-02 eta: 1 day, 0:36:16 time: 0.4270 data_time: 0.0029 loss: 1.1858 03/05 01:38:47 - mmengine - INFO - Epoch(train) [59][1700/5005] lr: 1.0000e-02 eta: 1 day, 0:35:33 time: 0.4236 data_time: 0.0030 loss: 1.1313 03/05 01:38:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:39:30 - mmengine - INFO - Epoch(train) [59][1800/5005] lr: 1.0000e-02 eta: 1 day, 0:34:51 time: 0.4287 data_time: 0.0030 loss: 1.1883 03/05 01:40:13 - mmengine - INFO - Epoch(train) [59][1900/5005] lr: 1.0000e-02 eta: 1 day, 0:34:09 time: 0.4322 data_time: 0.0031 loss: 1.3483 03/05 01:40:55 - mmengine - INFO - Epoch(train) [59][2000/5005] lr: 1.0000e-02 eta: 1 day, 0:33:26 time: 0.4300 data_time: 0.0028 loss: 1.1110 03/05 01:41:38 - mmengine - INFO - Epoch(train) [59][2100/5005] lr: 1.0000e-02 eta: 1 day, 0:32:44 time: 0.4284 data_time: 0.0028 loss: 1.1901 03/05 01:42:21 - mmengine - INFO - Epoch(train) [59][2200/5005] lr: 1.0000e-02 eta: 1 day, 0:32:01 time: 0.4251 data_time: 0.0030 loss: 1.0959 03/05 01:43:04 - mmengine - INFO - Epoch(train) [59][2300/5005] lr: 1.0000e-02 eta: 1 day, 0:31:19 time: 0.4246 data_time: 0.0031 loss: 1.2063 03/05 01:43:46 - mmengine - INFO - Epoch(train) [59][2400/5005] lr: 1.0000e-02 eta: 1 day, 0:30:37 time: 0.4299 data_time: 0.0030 loss: 1.0984 03/05 01:44:29 - mmengine - INFO - Epoch(train) [59][2500/5005] lr: 1.0000e-02 eta: 1 day, 0:29:54 time: 0.4252 data_time: 0.0029 loss: 1.1368 03/05 01:45:11 - mmengine - INFO - Epoch(train) [59][2600/5005] lr: 1.0000e-02 eta: 1 day, 0:29:12 time: 0.4223 data_time: 0.0031 loss: 1.1291 03/05 01:45:54 - mmengine - INFO - Epoch(train) [59][2700/5005] lr: 1.0000e-02 eta: 1 day, 0:28:29 time: 0.4225 data_time: 0.0028 loss: 1.1796 03/05 01:45:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:46:36 - mmengine - INFO - Epoch(train) [59][2800/5005] lr: 1.0000e-02 eta: 1 day, 0:27:47 time: 0.4200 data_time: 0.0031 loss: 1.3142 03/05 01:47:19 - mmengine - INFO - Epoch(train) [59][2900/5005] lr: 1.0000e-02 eta: 1 day, 0:27:04 time: 0.4217 data_time: 0.0029 loss: 1.0758 03/05 01:48:01 - mmengine - INFO - Epoch(train) [59][3000/5005] lr: 1.0000e-02 eta: 1 day, 0:26:22 time: 0.4231 data_time: 0.0029 loss: 1.2017 03/05 01:48:44 - mmengine - INFO - Epoch(train) [59][3100/5005] lr: 1.0000e-02 eta: 1 day, 0:25:40 time: 0.4275 data_time: 0.0029 loss: 1.1718 03/05 01:49:27 - mmengine - INFO - Epoch(train) [59][3200/5005] lr: 1.0000e-02 eta: 1 day, 0:24:57 time: 0.4246 data_time: 0.0030 loss: 1.1496 03/05 01:50:09 - mmengine - INFO - Epoch(train) [59][3300/5005] lr: 1.0000e-02 eta: 1 day, 0:24:15 time: 0.4260 data_time: 0.0028 loss: 1.0082 03/05 01:50:52 - mmengine - INFO - Epoch(train) [59][3400/5005] lr: 1.0000e-02 eta: 1 day, 0:23:32 time: 0.4250 data_time: 0.0030 loss: 1.0802 03/05 01:51:34 - mmengine - INFO - Epoch(train) [59][3500/5005] lr: 1.0000e-02 eta: 1 day, 0:22:50 time: 0.4281 data_time: 0.0032 loss: 1.2981 03/05 01:52:17 - mmengine - INFO - Epoch(train) [59][3600/5005] lr: 1.0000e-02 eta: 1 day, 0:22:07 time: 0.4222 data_time: 0.0028 loss: 1.2024 03/05 01:53:00 - mmengine - INFO - Epoch(train) [59][3700/5005] lr: 1.0000e-02 eta: 1 day, 0:21:25 time: 0.4266 data_time: 0.0029 loss: 1.1069 03/05 01:53:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 01:53:42 - mmengine - INFO - Epoch(train) [59][3800/5005] lr: 1.0000e-02 eta: 1 day, 0:20:43 time: 0.4271 data_time: 0.0028 loss: 1.3319 03/05 01:54:25 - mmengine - INFO - Epoch(train) [59][3900/5005] lr: 1.0000e-02 eta: 1 day, 0:20:00 time: 0.4274 data_time: 0.0030 loss: 1.2443 03/05 01:55:08 - mmengine - INFO - Epoch(train) [59][4000/5005] lr: 1.0000e-02 eta: 1 day, 0:19:18 time: 0.4248 data_time: 0.0030 loss: 1.1333 03/05 01:55:50 - mmengine - INFO - Epoch(train) [59][4100/5005] lr: 1.0000e-02 eta: 1 day, 0:18:35 time: 0.4246 data_time: 0.0030 loss: 1.2586 03/05 01:56:33 - mmengine - INFO - Epoch(train) [59][4200/5005] lr: 1.0000e-02 eta: 1 day, 0:17:53 time: 0.4224 data_time: 0.0028 loss: 1.1928 03/05 01:57:16 - mmengine - INFO - Epoch(train) [59][4300/5005] lr: 1.0000e-02 eta: 1 day, 0:17:11 time: 0.4267 data_time: 0.0031 loss: 1.0841 03/05 01:57:58 - mmengine - INFO - Epoch(train) [59][4400/5005] lr: 1.0000e-02 eta: 1 day, 0:16:28 time: 0.4269 data_time: 0.0033 loss: 1.3129 03/05 01:58:41 - mmengine - INFO - Epoch(train) [59][4500/5005] lr: 1.0000e-02 eta: 1 day, 0:15:46 time: 0.4319 data_time: 0.0032 loss: 1.2487 03/05 01:59:24 - mmengine - INFO - Epoch(train) [59][4600/5005] lr: 1.0000e-02 eta: 1 day, 0:15:04 time: 0.4250 data_time: 0.0032 loss: 1.0228 03/05 02:00:07 - mmengine - INFO - Epoch(train) [59][4700/5005] lr: 1.0000e-02 eta: 1 day, 0:14:21 time: 0.4251 data_time: 0.0030 loss: 1.2387 03/05 02:00:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:00:49 - mmengine - INFO - Epoch(train) [59][4800/5005] lr: 1.0000e-02 eta: 1 day, 0:13:39 time: 0.4277 data_time: 0.0030 loss: 1.1935 03/05 02:01:32 - mmengine - INFO - Epoch(train) [59][4900/5005] lr: 1.0000e-02 eta: 1 day, 0:12:56 time: 0.4227 data_time: 0.0031 loss: 1.3532 03/05 02:02:14 - mmengine - INFO - Epoch(train) [59][5000/5005] lr: 1.0000e-02 eta: 1 day, 0:12:14 time: 0.4244 data_time: 0.0027 loss: 1.2410 03/05 02:02:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:02:17 - mmengine - INFO - Saving checkpoint at 59 epochs 03/05 02:02:30 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:00:08 time: 0.0310 data_time: 0.0005 03/05 02:02:43 - mmengine - INFO - Epoch(val) [59][196/196] accuracy/top1: 74.5180 accuracy/top5: 92.4900 03/05 02:03:29 - mmengine - INFO - Epoch(train) [60][ 100/5005] lr: 1.0000e-02 eta: 1 day, 0:11:32 time: 0.4272 data_time: 0.0031 loss: 1.1250 03/05 02:04:12 - mmengine - INFO - Epoch(train) [60][ 200/5005] lr: 1.0000e-02 eta: 1 day, 0:10:49 time: 0.4215 data_time: 0.0030 loss: 0.9669 03/05 02:04:55 - mmengine - INFO - Epoch(train) [60][ 300/5005] lr: 1.0000e-02 eta: 1 day, 0:10:07 time: 0.4236 data_time: 0.0032 loss: 1.0673 03/05 02:05:38 - mmengine - INFO - Epoch(train) [60][ 400/5005] lr: 1.0000e-02 eta: 1 day, 0:09:25 time: 0.4238 data_time: 0.0032 loss: 1.0875 03/05 02:06:21 - mmengine - INFO - Epoch(train) [60][ 500/5005] lr: 1.0000e-02 eta: 1 day, 0:08:43 time: 0.4289 data_time: 0.0031 loss: 1.0109 03/05 02:07:04 - mmengine - INFO - Epoch(train) [60][ 600/5005] lr: 1.0000e-02 eta: 1 day, 0:08:01 time: 0.4217 data_time: 0.0030 loss: 1.1877 03/05 02:07:46 - mmengine - INFO - Epoch(train) [60][ 700/5005] lr: 1.0000e-02 eta: 1 day, 0:07:18 time: 0.4246 data_time: 0.0030 loss: 1.0782 03/05 02:07:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:08:29 - mmengine - INFO - Epoch(train) [60][ 800/5005] lr: 1.0000e-02 eta: 1 day, 0:06:36 time: 0.4235 data_time: 0.0031 loss: 1.1380 03/05 02:09:12 - mmengine - INFO - Epoch(train) [60][ 900/5005] lr: 1.0000e-02 eta: 1 day, 0:05:53 time: 0.4285 data_time: 0.0031 loss: 1.1039 03/05 02:09:54 - mmengine - INFO - Epoch(train) [60][1000/5005] lr: 1.0000e-02 eta: 1 day, 0:05:11 time: 0.4237 data_time: 0.0032 loss: 1.0353 03/05 02:10:37 - mmengine - INFO - Epoch(train) [60][1100/5005] lr: 1.0000e-02 eta: 1 day, 0:04:29 time: 0.4274 data_time: 0.0030 loss: 0.9212 03/05 02:11:20 - mmengine - INFO - Epoch(train) [60][1200/5005] lr: 1.0000e-02 eta: 1 day, 0:03:46 time: 0.4266 data_time: 0.0032 loss: 1.0933 03/05 02:12:02 - mmengine - INFO - Epoch(train) [60][1300/5005] lr: 1.0000e-02 eta: 1 day, 0:03:04 time: 0.4314 data_time: 0.0031 loss: 1.3553 03/05 02:12:45 - mmengine - INFO - Epoch(train) [60][1400/5005] lr: 1.0000e-02 eta: 1 day, 0:02:21 time: 0.4270 data_time: 0.0029 loss: 1.0379 03/05 02:13:28 - mmengine - INFO - Epoch(train) [60][1500/5005] lr: 1.0000e-02 eta: 1 day, 0:01:39 time: 0.4269 data_time: 0.0029 loss: 1.1723 03/05 02:14:10 - mmengine - INFO - Epoch(train) [60][1600/5005] lr: 1.0000e-02 eta: 1 day, 0:00:57 time: 0.4273 data_time: 0.0030 loss: 0.8011 03/05 02:14:53 - mmengine - INFO - Epoch(train) [60][1700/5005] lr: 1.0000e-02 eta: 1 day, 0:00:14 time: 0.4249 data_time: 0.0032 loss: 1.0640 03/05 02:14:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:15:36 - mmengine - INFO - Epoch(train) [60][1800/5005] lr: 1.0000e-02 eta: 23:59:32 time: 0.4244 data_time: 0.0029 loss: 1.2656 03/05 02:16:18 - mmengine - INFO - Epoch(train) [60][1900/5005] lr: 1.0000e-02 eta: 23:58:49 time: 0.4256 data_time: 0.0029 loss: 1.0904 03/05 02:17:01 - mmengine - INFO - Epoch(train) [60][2000/5005] lr: 1.0000e-02 eta: 23:58:07 time: 0.4242 data_time: 0.0031 loss: 1.2426 03/05 02:17:43 - mmengine - INFO - Epoch(train) [60][2100/5005] lr: 1.0000e-02 eta: 23:57:24 time: 0.4244 data_time: 0.0029 loss: 1.2019 03/05 02:18:26 - mmengine - INFO - Epoch(train) [60][2200/5005] lr: 1.0000e-02 eta: 23:56:42 time: 0.4270 data_time: 0.0029 loss: 1.1417 03/05 02:19:08 - mmengine - INFO - Epoch(train) [60][2300/5005] lr: 1.0000e-02 eta: 23:55:59 time: 0.4214 data_time: 0.0030 loss: 1.1324 03/05 02:19:51 - mmengine - INFO - Epoch(train) [60][2400/5005] lr: 1.0000e-02 eta: 23:55:17 time: 0.4315 data_time: 0.0031 loss: 1.2694 03/05 02:20:34 - mmengine - INFO - Epoch(train) [60][2500/5005] lr: 1.0000e-02 eta: 23:54:34 time: 0.4278 data_time: 0.0031 loss: 1.1843 03/05 02:21:16 - mmengine - INFO - Epoch(train) [60][2600/5005] lr: 1.0000e-02 eta: 23:53:52 time: 0.4231 data_time: 0.0029 loss: 1.2865 03/05 02:21:59 - mmengine - INFO - Epoch(train) [60][2700/5005] lr: 1.0000e-02 eta: 23:53:10 time: 0.4273 data_time: 0.0031 loss: 0.9813 03/05 02:22:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:22:42 - mmengine - INFO - Epoch(train) [60][2800/5005] lr: 1.0000e-02 eta: 23:52:27 time: 0.4274 data_time: 0.0030 loss: 1.2704 03/05 02:23:24 - mmengine - INFO - Epoch(train) [60][2900/5005] lr: 1.0000e-02 eta: 23:51:45 time: 0.4309 data_time: 0.0031 loss: 1.0797 03/05 02:24:07 - mmengine - INFO - Epoch(train) [60][3000/5005] lr: 1.0000e-02 eta: 23:51:02 time: 0.4363 data_time: 0.0030 loss: 1.1811 03/05 02:24:49 - mmengine - INFO - Epoch(train) [60][3100/5005] lr: 1.0000e-02 eta: 23:50:20 time: 0.4253 data_time: 0.0029 loss: 1.2846 03/05 02:25:32 - mmengine - INFO - Epoch(train) [60][3200/5005] lr: 1.0000e-02 eta: 23:49:37 time: 0.4199 data_time: 0.0031 loss: 1.3648 03/05 02:26:15 - mmengine - INFO - Epoch(train) [60][3300/5005] lr: 1.0000e-02 eta: 23:48:55 time: 0.4217 data_time: 0.0030 loss: 1.1772 03/05 02:26:57 - mmengine - INFO - Epoch(train) [60][3400/5005] lr: 1.0000e-02 eta: 23:48:13 time: 0.4234 data_time: 0.0031 loss: 1.1069 03/05 02:27:40 - mmengine - INFO - Epoch(train) [60][3500/5005] lr: 1.0000e-02 eta: 23:47:30 time: 0.4228 data_time: 0.0029 loss: 1.2496 03/05 02:28:22 - mmengine - INFO - Epoch(train) [60][3600/5005] lr: 1.0000e-02 eta: 23:46:48 time: 0.4196 data_time: 0.0032 loss: 1.2008 03/05 02:29:05 - mmengine - INFO - Epoch(train) [60][3700/5005] lr: 1.0000e-02 eta: 23:46:05 time: 0.4192 data_time: 0.0031 loss: 0.9265 03/05 02:29:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:29:47 - mmengine - INFO - Epoch(train) [60][3800/5005] lr: 1.0000e-02 eta: 23:45:23 time: 0.4245 data_time: 0.0031 loss: 1.0691 03/05 02:30:30 - mmengine - INFO - Epoch(train) [60][3900/5005] lr: 1.0000e-02 eta: 23:44:40 time: 0.4196 data_time: 0.0030 loss: 1.1840 03/05 02:31:12 - mmengine - INFO - Epoch(train) [60][4000/5005] lr: 1.0000e-02 eta: 23:43:57 time: 0.4230 data_time: 0.0029 loss: 1.0750 03/05 02:31:55 - mmengine - INFO - Epoch(train) [60][4100/5005] lr: 1.0000e-02 eta: 23:43:15 time: 0.4248 data_time: 0.0029 loss: 1.1477 03/05 02:32:37 - mmengine - INFO - Epoch(train) [60][4200/5005] lr: 1.0000e-02 eta: 23:42:32 time: 0.4212 data_time: 0.0030 loss: 1.1320 03/05 02:33:19 - mmengine - INFO - Epoch(train) [60][4300/5005] lr: 1.0000e-02 eta: 23:41:50 time: 0.4220 data_time: 0.0028 loss: 1.4063 03/05 02:34:02 - mmengine - INFO - Epoch(train) [60][4400/5005] lr: 1.0000e-02 eta: 23:41:07 time: 0.4263 data_time: 0.0030 loss: 1.2252 03/05 02:34:44 - mmengine - INFO - Epoch(train) [60][4500/5005] lr: 1.0000e-02 eta: 23:40:25 time: 0.4213 data_time: 0.0030 loss: 1.1096 03/05 02:35:27 - mmengine - INFO - Epoch(train) [60][4600/5005] lr: 1.0000e-02 eta: 23:39:42 time: 0.4207 data_time: 0.0030 loss: 1.2939 03/05 02:36:10 - mmengine - INFO - Epoch(train) [60][4700/5005] lr: 1.0000e-02 eta: 23:39:00 time: 0.4318 data_time: 0.0031 loss: 1.3071 03/05 02:36:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:36:52 - mmengine - INFO - Epoch(train) [60][4800/5005] lr: 1.0000e-02 eta: 23:38:18 time: 0.4203 data_time: 0.0031 loss: 1.2050 03/05 02:37:35 - mmengine - INFO - Epoch(train) [60][4900/5005] lr: 1.0000e-02 eta: 23:37:35 time: 0.4239 data_time: 0.0030 loss: 1.0753 03/05 02:38:17 - mmengine - INFO - Epoch(train) [60][5000/5005] lr: 1.0000e-02 eta: 23:36:52 time: 0.4192 data_time: 0.0028 loss: 1.2169 03/05 02:38:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:38:20 - mmengine - INFO - Saving checkpoint at 60 epochs 03/05 02:38:32 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:00:08 time: 0.0287 data_time: 0.0005 03/05 02:38:46 - mmengine - INFO - Epoch(val) [60][196/196] accuracy/top1: 74.7260 accuracy/top5: 92.4280 03/05 02:39:31 - mmengine - INFO - Epoch(train) [61][ 100/5005] lr: 1.0000e-03 eta: 23:36:10 time: 0.4264 data_time: 0.0034 loss: 1.0227 03/05 02:40:14 - mmengine - INFO - Epoch(train) [61][ 200/5005] lr: 1.0000e-03 eta: 23:35:27 time: 0.4316 data_time: 0.0033 loss: 1.0065 03/05 02:40:57 - mmengine - INFO - Epoch(train) [61][ 300/5005] lr: 1.0000e-03 eta: 23:34:45 time: 0.4228 data_time: 0.0031 loss: 1.1412 03/05 02:41:39 - mmengine - INFO - Epoch(train) [61][ 400/5005] lr: 1.0000e-03 eta: 23:34:03 time: 0.4228 data_time: 0.0031 loss: 1.0668 03/05 02:42:22 - mmengine - INFO - Epoch(train) [61][ 500/5005] lr: 1.0000e-03 eta: 23:33:20 time: 0.4238 data_time: 0.0036 loss: 1.1334 03/05 02:43:04 - mmengine - INFO - Epoch(train) [61][ 600/5005] lr: 1.0000e-03 eta: 23:32:38 time: 0.4202 data_time: 0.0031 loss: 0.9343 03/05 02:43:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:43:47 - mmengine - INFO - Epoch(train) [61][ 700/5005] lr: 1.0000e-03 eta: 23:31:55 time: 0.4227 data_time: 0.0033 loss: 0.9637 03/05 02:44:29 - mmengine - INFO - Epoch(train) [61][ 800/5005] lr: 1.0000e-03 eta: 23:31:13 time: 0.4333 data_time: 0.0032 loss: 0.7890 03/05 02:45:12 - mmengine - INFO - Epoch(train) [61][ 900/5005] lr: 1.0000e-03 eta: 23:30:30 time: 0.4229 data_time: 0.0030 loss: 0.8821 03/05 02:45:54 - mmengine - INFO - Epoch(train) [61][1000/5005] lr: 1.0000e-03 eta: 23:29:47 time: 0.4183 data_time: 0.0030 loss: 0.9098 03/05 02:46:37 - mmengine - INFO - Epoch(train) [61][1100/5005] lr: 1.0000e-03 eta: 23:29:05 time: 0.4175 data_time: 0.0031 loss: 1.0448 03/05 02:47:20 - mmengine - INFO - Epoch(train) [61][1200/5005] lr: 1.0000e-03 eta: 23:28:23 time: 0.4190 data_time: 0.0030 loss: 0.9289 03/05 02:48:02 - mmengine - INFO - Epoch(train) [61][1300/5005] lr: 1.0000e-03 eta: 23:27:40 time: 0.4244 data_time: 0.0030 loss: 0.9666 03/05 02:48:44 - mmengine - INFO - Epoch(train) [61][1400/5005] lr: 1.0000e-03 eta: 23:26:57 time: 0.4206 data_time: 0.0030 loss: 0.8134 03/05 02:49:27 - mmengine - INFO - Epoch(train) [61][1500/5005] lr: 1.0000e-03 eta: 23:26:15 time: 0.4236 data_time: 0.0029 loss: 0.8538 03/05 02:50:09 - mmengine - INFO - Epoch(train) [61][1600/5005] lr: 1.0000e-03 eta: 23:25:32 time: 0.4223 data_time: 0.0030 loss: 0.9700 03/05 02:50:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:50:51 - mmengine - INFO - Epoch(train) [61][1700/5005] lr: 1.0000e-03 eta: 23:24:50 time: 0.4231 data_time: 0.0030 loss: 0.9564 03/05 02:51:34 - mmengine - INFO - Epoch(train) [61][1800/5005] lr: 1.0000e-03 eta: 23:24:07 time: 0.4204 data_time: 0.0031 loss: 0.8915 03/05 02:52:16 - mmengine - INFO - Epoch(train) [61][1900/5005] lr: 1.0000e-03 eta: 23:23:25 time: 0.4297 data_time: 0.0031 loss: 0.9853 03/05 02:52:59 - mmengine - INFO - Epoch(train) [61][2000/5005] lr: 1.0000e-03 eta: 23:22:42 time: 0.4231 data_time: 0.0031 loss: 0.8717 03/05 02:53:41 - mmengine - INFO - Epoch(train) [61][2100/5005] lr: 1.0000e-03 eta: 23:22:00 time: 0.4247 data_time: 0.0030 loss: 0.9505 03/05 02:54:24 - mmengine - INFO - Epoch(train) [61][2200/5005] lr: 1.0000e-03 eta: 23:21:17 time: 0.4333 data_time: 0.0029 loss: 1.0606 03/05 02:55:07 - mmengine - INFO - Epoch(train) [61][2300/5005] lr: 1.0000e-03 eta: 23:20:35 time: 0.4253 data_time: 0.0031 loss: 1.0597 03/05 02:55:49 - mmengine - INFO - Epoch(train) [61][2400/5005] lr: 1.0000e-03 eta: 23:19:52 time: 0.4201 data_time: 0.0032 loss: 0.9365 03/05 02:56:31 - mmengine - INFO - Epoch(train) [61][2500/5005] lr: 1.0000e-03 eta: 23:19:10 time: 0.4184 data_time: 0.0032 loss: 0.9122 03/05 02:57:14 - mmengine - INFO - Epoch(train) [61][2600/5005] lr: 1.0000e-03 eta: 23:18:27 time: 0.4211 data_time: 0.0029 loss: 1.0091 03/05 02:57:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 02:57:56 - mmengine - INFO - Epoch(train) [61][2700/5005] lr: 1.0000e-03 eta: 23:17:44 time: 0.4247 data_time: 0.0030 loss: 0.9904 03/05 02:58:39 - mmengine - INFO - Epoch(train) [61][2800/5005] lr: 1.0000e-03 eta: 23:17:02 time: 0.4237 data_time: 0.0033 loss: 1.0248 03/05 02:59:21 - mmengine - INFO - Epoch(train) [61][2900/5005] lr: 1.0000e-03 eta: 23:16:19 time: 0.4230 data_time: 0.0031 loss: 0.8972 03/05 03:00:04 - mmengine - INFO - Epoch(train) [61][3000/5005] lr: 1.0000e-03 eta: 23:15:37 time: 0.4252 data_time: 0.0032 loss: 1.0369 03/05 03:00:46 - mmengine - INFO - Epoch(train) [61][3100/5005] lr: 1.0000e-03 eta: 23:14:54 time: 0.4209 data_time: 0.0029 loss: 0.8064 03/05 03:01:29 - mmengine - INFO - Epoch(train) [61][3200/5005] lr: 1.0000e-03 eta: 23:14:12 time: 0.4256 data_time: 0.0030 loss: 0.8697 03/05 03:02:11 - mmengine - INFO - Epoch(train) [61][3300/5005] lr: 1.0000e-03 eta: 23:13:29 time: 0.4221 data_time: 0.0030 loss: 0.9259 03/05 03:02:54 - mmengine - INFO - Epoch(train) [61][3400/5005] lr: 1.0000e-03 eta: 23:12:47 time: 0.4300 data_time: 0.0029 loss: 0.8211 03/05 03:03:36 - mmengine - INFO - Epoch(train) [61][3500/5005] lr: 1.0000e-03 eta: 23:12:04 time: 0.4193 data_time: 0.0030 loss: 0.9654 03/05 03:04:19 - mmengine - INFO - Epoch(train) [61][3600/5005] lr: 1.0000e-03 eta: 23:11:22 time: 0.4273 data_time: 0.0030 loss: 0.7972 03/05 03:05:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:05:02 - mmengine - INFO - Epoch(train) [61][3700/5005] lr: 1.0000e-03 eta: 23:10:40 time: 0.4218 data_time: 0.0030 loss: 0.8096 03/05 03:05:44 - mmengine - INFO - Epoch(train) [61][3800/5005] lr: 1.0000e-03 eta: 23:09:57 time: 0.4234 data_time: 0.0029 loss: 0.8732 03/05 03:06:27 - mmengine - INFO - Epoch(train) [61][3900/5005] lr: 1.0000e-03 eta: 23:09:15 time: 0.4253 data_time: 0.0029 loss: 0.9445 03/05 03:07:09 - mmengine - INFO - Epoch(train) [61][4000/5005] lr: 1.0000e-03 eta: 23:08:32 time: 0.4238 data_time: 0.0032 loss: 0.8409 03/05 03:07:52 - mmengine - INFO - Epoch(train) [61][4100/5005] lr: 1.0000e-03 eta: 23:07:50 time: 0.4202 data_time: 0.0030 loss: 0.9026 03/05 03:08:34 - mmengine - INFO - Epoch(train) [61][4200/5005] lr: 1.0000e-03 eta: 23:07:07 time: 0.4224 data_time: 0.0031 loss: 0.8700 03/05 03:09:16 - mmengine - INFO - Epoch(train) [61][4300/5005] lr: 1.0000e-03 eta: 23:06:24 time: 0.4246 data_time: 0.0032 loss: 0.9013 03/05 03:09:59 - mmengine - INFO - Epoch(train) [61][4400/5005] lr: 1.0000e-03 eta: 23:05:42 time: 0.4193 data_time: 0.0030 loss: 0.8162 03/05 03:10:41 - mmengine - INFO - Epoch(train) [61][4500/5005] lr: 1.0000e-03 eta: 23:04:59 time: 0.4306 data_time: 0.0033 loss: 0.8047 03/05 03:11:24 - mmengine - INFO - Epoch(train) [61][4600/5005] lr: 1.0000e-03 eta: 23:04:17 time: 0.4288 data_time: 0.0032 loss: 0.8779 03/05 03:12:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:12:06 - mmengine - INFO - Epoch(train) [61][4700/5005] lr: 1.0000e-03 eta: 23:03:34 time: 0.4212 data_time: 0.0030 loss: 1.0012 03/05 03:12:49 - mmengine - INFO - Epoch(train) [61][4800/5005] lr: 1.0000e-03 eta: 23:02:52 time: 0.4216 data_time: 0.0031 loss: 0.8465 03/05 03:13:31 - mmengine - INFO - Epoch(train) [61][4900/5005] lr: 1.0000e-03 eta: 23:02:09 time: 0.4248 data_time: 0.0032 loss: 0.6798 03/05 03:14:13 - mmengine - INFO - Epoch(train) [61][5000/5005] lr: 1.0000e-03 eta: 23:01:27 time: 0.4194 data_time: 0.0027 loss: 0.9566 03/05 03:14:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:14:16 - mmengine - INFO - Saving checkpoint at 61 epochs 03/05 03:14:28 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:00:08 time: 0.0268 data_time: 0.0005 03/05 03:14:42 - mmengine - INFO - Epoch(val) [61][196/196] accuracy/top1: 78.4960 accuracy/top5: 94.1320 03/05 03:15:27 - mmengine - INFO - Epoch(train) [62][ 100/5005] lr: 1.0000e-03 eta: 23:00:44 time: 0.4269 data_time: 0.0031 loss: 0.9458 03/05 03:16:10 - mmengine - INFO - Epoch(train) [62][ 200/5005] lr: 1.0000e-03 eta: 23:00:02 time: 0.4236 data_time: 0.0030 loss: 1.0631 03/05 03:16:53 - mmengine - INFO - Epoch(train) [62][ 300/5005] lr: 1.0000e-03 eta: 22:59:19 time: 0.4196 data_time: 0.0032 loss: 0.7750 03/05 03:17:35 - mmengine - INFO - Epoch(train) [62][ 400/5005] lr: 1.0000e-03 eta: 22:58:37 time: 0.4281 data_time: 0.0031 loss: 0.8741 03/05 03:18:18 - mmengine - INFO - Epoch(train) [62][ 500/5005] lr: 1.0000e-03 eta: 22:57:54 time: 0.4231 data_time: 0.0032 loss: 0.8893 03/05 03:19:00 - mmengine - INFO - Epoch(train) [62][ 600/5005] lr: 1.0000e-03 eta: 22:57:12 time: 0.4224 data_time: 0.0030 loss: 0.8315 03/05 03:19:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:19:43 - mmengine - INFO - Epoch(train) [62][ 700/5005] lr: 1.0000e-03 eta: 22:56:29 time: 0.4245 data_time: 0.0034 loss: 0.8905 03/05 03:20:26 - mmengine - INFO - Epoch(train) [62][ 800/5005] lr: 1.0000e-03 eta: 22:55:47 time: 0.4239 data_time: 0.0031 loss: 1.0313 03/05 03:21:08 - mmengine - INFO - Epoch(train) [62][ 900/5005] lr: 1.0000e-03 eta: 22:55:05 time: 0.4276 data_time: 0.0032 loss: 0.9404 03/05 03:21:51 - mmengine - INFO - Epoch(train) [62][1000/5005] lr: 1.0000e-03 eta: 22:54:22 time: 0.4238 data_time: 0.0033 loss: 0.8706 03/05 03:22:34 - mmengine - INFO - Epoch(train) [62][1100/5005] lr: 1.0000e-03 eta: 22:53:40 time: 0.4265 data_time: 0.0031 loss: 0.8470 03/05 03:23:16 - mmengine - INFO - Epoch(train) [62][1200/5005] lr: 1.0000e-03 eta: 22:52:57 time: 0.4226 data_time: 0.0034 loss: 1.0529 03/05 03:23:59 - mmengine - INFO - Epoch(train) [62][1300/5005] lr: 1.0000e-03 eta: 22:52:15 time: 0.4235 data_time: 0.0030 loss: 0.9950 03/05 03:24:41 - mmengine - INFO - Epoch(train) [62][1400/5005] lr: 1.0000e-03 eta: 22:51:32 time: 0.4203 data_time: 0.0033 loss: 0.8115 03/05 03:25:24 - mmengine - INFO - Epoch(train) [62][1500/5005] lr: 1.0000e-03 eta: 22:50:50 time: 0.4236 data_time: 0.0031 loss: 1.0479 03/05 03:26:06 - mmengine - INFO - Epoch(train) [62][1600/5005] lr: 1.0000e-03 eta: 22:50:07 time: 0.4217 data_time: 0.0031 loss: 0.8650 03/05 03:26:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:26:49 - mmengine - INFO - Epoch(train) [62][1700/5005] lr: 1.0000e-03 eta: 22:49:25 time: 0.4205 data_time: 0.0032 loss: 0.9006 03/05 03:27:32 - mmengine - INFO - Epoch(train) [62][1800/5005] lr: 1.0000e-03 eta: 22:48:43 time: 0.4246 data_time: 0.0031 loss: 1.0305 03/05 03:28:14 - mmengine - INFO - Epoch(train) [62][1900/5005] lr: 1.0000e-03 eta: 22:48:00 time: 0.4244 data_time: 0.0030 loss: 0.8218 03/05 03:28:57 - mmengine - INFO - Epoch(train) [62][2000/5005] lr: 1.0000e-03 eta: 22:47:18 time: 0.4330 data_time: 0.0031 loss: 0.9627 03/05 03:29:40 - mmengine - INFO - Epoch(train) [62][2100/5005] lr: 1.0000e-03 eta: 22:46:35 time: 0.4253 data_time: 0.0029 loss: 0.7856 03/05 03:30:22 - mmengine - INFO - Epoch(train) [62][2200/5005] lr: 1.0000e-03 eta: 22:45:53 time: 0.4247 data_time: 0.0031 loss: 0.8740 03/05 03:31:05 - mmengine - INFO - Epoch(train) [62][2300/5005] lr: 1.0000e-03 eta: 22:45:10 time: 0.4251 data_time: 0.0031 loss: 0.8136 03/05 03:31:47 - mmengine - INFO - Epoch(train) [62][2400/5005] lr: 1.0000e-03 eta: 22:44:28 time: 0.4263 data_time: 0.0031 loss: 1.0181 03/05 03:32:30 - mmengine - INFO - Epoch(train) [62][2500/5005] lr: 1.0000e-03 eta: 22:43:45 time: 0.4239 data_time: 0.0030 loss: 0.7783 03/05 03:33:12 - mmengine - INFO - Epoch(train) [62][2600/5005] lr: 1.0000e-03 eta: 22:43:03 time: 0.4235 data_time: 0.0030 loss: 0.8523 03/05 03:33:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:33:55 - mmengine - INFO - Epoch(train) [62][2700/5005] lr: 1.0000e-03 eta: 22:42:21 time: 0.4267 data_time: 0.0033 loss: 0.9177 03/05 03:34:38 - mmengine - INFO - Epoch(train) [62][2800/5005] lr: 1.0000e-03 eta: 22:41:38 time: 0.4237 data_time: 0.0031 loss: 0.7179 03/05 03:35:20 - mmengine - INFO - Epoch(train) [62][2900/5005] lr: 1.0000e-03 eta: 22:40:55 time: 0.4176 data_time: 0.0030 loss: 0.8826 03/05 03:36:03 - mmengine - INFO - Epoch(train) [62][3000/5005] lr: 1.0000e-03 eta: 22:40:13 time: 0.4220 data_time: 0.0031 loss: 1.0026 03/05 03:36:45 - mmengine - INFO - Epoch(train) [62][3100/5005] lr: 1.0000e-03 eta: 22:39:30 time: 0.4208 data_time: 0.0030 loss: 0.8962 03/05 03:37:27 - mmengine - INFO - Epoch(train) [62][3200/5005] lr: 1.0000e-03 eta: 22:38:48 time: 0.4210 data_time: 0.0031 loss: 0.8952 03/05 03:38:10 - mmengine - INFO - Epoch(train) [62][3300/5005] lr: 1.0000e-03 eta: 22:38:05 time: 0.4177 data_time: 0.0032 loss: 0.9444 03/05 03:38:53 - mmengine - INFO - Epoch(train) [62][3400/5005] lr: 1.0000e-03 eta: 22:37:23 time: 0.4246 data_time: 0.0030 loss: 0.9317 03/05 03:39:35 - mmengine - INFO - Epoch(train) [62][3500/5005] lr: 1.0000e-03 eta: 22:36:41 time: 0.4206 data_time: 0.0029 loss: 0.8549 03/05 03:40:18 - mmengine - INFO - Epoch(train) [62][3600/5005] lr: 1.0000e-03 eta: 22:35:58 time: 0.4269 data_time: 0.0031 loss: 1.0268 03/05 03:40:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:41:01 - mmengine - INFO - Epoch(train) [62][3700/5005] lr: 1.0000e-03 eta: 22:35:16 time: 0.4219 data_time: 0.0033 loss: 0.7803 03/05 03:41:43 - mmengine - INFO - Epoch(train) [62][3800/5005] lr: 1.0000e-03 eta: 22:34:33 time: 0.4214 data_time: 0.0029 loss: 0.7798 03/05 03:42:26 - mmengine - INFO - Epoch(train) [62][3900/5005] lr: 1.0000e-03 eta: 22:33:51 time: 0.4398 data_time: 0.0030 loss: 0.9017 03/05 03:43:08 - mmengine - INFO - Epoch(train) [62][4000/5005] lr: 1.0000e-03 eta: 22:33:08 time: 0.4235 data_time: 0.0031 loss: 0.8087 03/05 03:43:51 - mmengine - INFO - Epoch(train) [62][4100/5005] lr: 1.0000e-03 eta: 22:32:26 time: 0.4210 data_time: 0.0030 loss: 0.9180 03/05 03:44:33 - mmengine - INFO - Epoch(train) [62][4200/5005] lr: 1.0000e-03 eta: 22:31:43 time: 0.4230 data_time: 0.0030 loss: 0.8151 03/05 03:45:16 - mmengine - INFO - Epoch(train) [62][4300/5005] lr: 1.0000e-03 eta: 22:31:01 time: 0.4263 data_time: 0.0030 loss: 0.8574 03/05 03:45:58 - mmengine - INFO - Epoch(train) [62][4400/5005] lr: 1.0000e-03 eta: 22:30:18 time: 0.4257 data_time: 0.0029 loss: 0.8316 03/05 03:46:41 - mmengine - INFO - Epoch(train) [62][4500/5005] lr: 1.0000e-03 eta: 22:29:36 time: 0.4218 data_time: 0.0030 loss: 0.9070 03/05 03:47:24 - mmengine - INFO - Epoch(train) [62][4600/5005] lr: 1.0000e-03 eta: 22:28:54 time: 0.4335 data_time: 0.0030 loss: 0.8219 03/05 03:48:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:48:07 - mmengine - INFO - Epoch(train) [62][4700/5005] lr: 1.0000e-03 eta: 22:28:11 time: 0.4229 data_time: 0.0031 loss: 0.7970 03/05 03:48:49 - mmengine - INFO - Epoch(train) [62][4800/5005] lr: 1.0000e-03 eta: 22:27:29 time: 0.4272 data_time: 0.0031 loss: 0.9913 03/05 03:49:32 - mmengine - INFO - Epoch(train) [62][4900/5005] lr: 1.0000e-03 eta: 22:26:46 time: 0.4214 data_time: 0.0032 loss: 0.7746 03/05 03:50:14 - mmengine - INFO - Epoch(train) [62][5000/5005] lr: 1.0000e-03 eta: 22:26:04 time: 0.4250 data_time: 0.0029 loss: 0.9542 03/05 03:50:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:50:17 - mmengine - INFO - Saving checkpoint at 62 epochs 03/05 03:50:29 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:00:09 time: 0.0288 data_time: 0.0005 03/05 03:50:43 - mmengine - INFO - Epoch(val) [62][196/196] accuracy/top1: 78.6560 accuracy/top5: 94.2400 03/05 03:51:28 - mmengine - INFO - Epoch(train) [63][ 100/5005] lr: 1.0000e-03 eta: 22:25:21 time: 0.4257 data_time: 0.0031 loss: 0.8326 03/05 03:52:11 - mmengine - INFO - Epoch(train) [63][ 200/5005] lr: 1.0000e-03 eta: 22:24:39 time: 0.4288 data_time: 0.0035 loss: 1.0263 03/05 03:52:54 - mmengine - INFO - Epoch(train) [63][ 300/5005] lr: 1.0000e-03 eta: 22:23:56 time: 0.4238 data_time: 0.0030 loss: 0.9092 03/05 03:53:36 - mmengine - INFO - Epoch(train) [63][ 400/5005] lr: 1.0000e-03 eta: 22:23:14 time: 0.4252 data_time: 0.0032 loss: 0.9154 03/05 03:54:19 - mmengine - INFO - Epoch(train) [63][ 500/5005] lr: 1.0000e-03 eta: 22:22:31 time: 0.4223 data_time: 0.0030 loss: 1.0671 03/05 03:55:01 - mmengine - INFO - Epoch(train) [63][ 600/5005] lr: 1.0000e-03 eta: 22:21:49 time: 0.4255 data_time: 0.0031 loss: 0.9357 03/05 03:55:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 03:55:44 - mmengine - INFO - Epoch(train) [63][ 700/5005] lr: 1.0000e-03 eta: 22:21:06 time: 0.4309 data_time: 0.0030 loss: 0.8410 03/05 03:56:26 - mmengine - INFO - Epoch(train) [63][ 800/5005] lr: 1.0000e-03 eta: 22:20:24 time: 0.4204 data_time: 0.0030 loss: 0.9219 03/05 03:57:09 - mmengine - INFO - Epoch(train) [63][ 900/5005] lr: 1.0000e-03 eta: 22:19:41 time: 0.4231 data_time: 0.0030 loss: 0.8501 03/05 03:57:51 - mmengine - INFO - Epoch(train) [63][1000/5005] lr: 1.0000e-03 eta: 22:18:59 time: 0.4237 data_time: 0.0030 loss: 0.9064 03/05 03:58:34 - mmengine - INFO - Epoch(train) [63][1100/5005] lr: 1.0000e-03 eta: 22:18:16 time: 0.4267 data_time: 0.0031 loss: 0.8303 03/05 03:59:16 - mmengine - INFO - Epoch(train) [63][1200/5005] lr: 1.0000e-03 eta: 22:17:34 time: 0.4252 data_time: 0.0032 loss: 0.8420 03/05 03:59:59 - mmengine - INFO - Epoch(train) [63][1300/5005] lr: 1.0000e-03 eta: 22:16:51 time: 0.4284 data_time: 0.0031 loss: 0.8101 03/05 04:00:41 - mmengine - INFO - Epoch(train) [63][1400/5005] lr: 1.0000e-03 eta: 22:16:09 time: 0.4230 data_time: 0.0030 loss: 0.8998 03/05 04:01:24 - mmengine - INFO - Epoch(train) [63][1500/5005] lr: 1.0000e-03 eta: 22:15:26 time: 0.4245 data_time: 0.0030 loss: 0.9215 03/05 04:02:06 - mmengine - INFO - Epoch(train) [63][1600/5005] lr: 1.0000e-03 eta: 22:14:44 time: 0.4295 data_time: 0.0031 loss: 0.8806 03/05 04:02:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:02:49 - mmengine - INFO - Epoch(train) [63][1700/5005] lr: 1.0000e-03 eta: 22:14:01 time: 0.4225 data_time: 0.0031 loss: 1.0064 03/05 04:03:32 - mmengine - INFO - Epoch(train) [63][1800/5005] lr: 1.0000e-03 eta: 22:13:19 time: 0.4194 data_time: 0.0033 loss: 0.8505 03/05 04:04:14 - mmengine - INFO - Epoch(train) [63][1900/5005] lr: 1.0000e-03 eta: 22:12:36 time: 0.4244 data_time: 0.0030 loss: 0.8720 03/05 04:04:57 - mmengine - INFO - Epoch(train) [63][2000/5005] lr: 1.0000e-03 eta: 22:11:54 time: 0.4227 data_time: 0.0031 loss: 0.8220 03/05 04:05:39 - mmengine - INFO - Epoch(train) [63][2100/5005] lr: 1.0000e-03 eta: 22:11:11 time: 0.4191 data_time: 0.0029 loss: 0.6666 03/05 04:06:22 - mmengine - INFO - Epoch(train) [63][2200/5005] lr: 1.0000e-03 eta: 22:10:29 time: 0.4266 data_time: 0.0032 loss: 0.9559 03/05 04:07:04 - mmengine - INFO - Epoch(train) [63][2300/5005] lr: 1.0000e-03 eta: 22:09:46 time: 0.4166 data_time: 0.0030 loss: 0.8634 03/05 04:07:47 - mmengine - INFO - Epoch(train) [63][2400/5005] lr: 1.0000e-03 eta: 22:09:04 time: 0.4250 data_time: 0.0030 loss: 0.6728 03/05 04:08:29 - mmengine - INFO - Epoch(train) [63][2500/5005] lr: 1.0000e-03 eta: 22:08:21 time: 0.4241 data_time: 0.0030 loss: 0.8507 03/05 04:09:12 - mmengine - INFO - Epoch(train) [63][2600/5005] lr: 1.0000e-03 eta: 22:07:39 time: 0.4222 data_time: 0.0030 loss: 0.9004 03/05 04:09:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:09:54 - mmengine - INFO - Epoch(train) [63][2700/5005] lr: 1.0000e-03 eta: 22:06:56 time: 0.4251 data_time: 0.0029 loss: 0.8319 03/05 04:10:37 - mmengine - INFO - Epoch(train) [63][2800/5005] lr: 1.0000e-03 eta: 22:06:14 time: 0.4229 data_time: 0.0031 loss: 0.7990 03/05 04:11:19 - mmengine - INFO - Epoch(train) [63][2900/5005] lr: 1.0000e-03 eta: 22:05:32 time: 0.4206 data_time: 0.0030 loss: 0.6915 03/05 04:12:02 - mmengine - INFO - Epoch(train) [63][3000/5005] lr: 1.0000e-03 eta: 22:04:49 time: 0.4287 data_time: 0.0029 loss: 0.8858 03/05 04:12:44 - mmengine - INFO - Epoch(train) [63][3100/5005] lr: 1.0000e-03 eta: 22:04:07 time: 0.4190 data_time: 0.0033 loss: 0.7985 03/05 04:13:27 - mmengine - INFO - Epoch(train) [63][3200/5005] lr: 1.0000e-03 eta: 22:03:24 time: 0.4187 data_time: 0.0031 loss: 0.8314 03/05 04:14:10 - mmengine - INFO - Epoch(train) [63][3300/5005] lr: 1.0000e-03 eta: 22:02:42 time: 0.4219 data_time: 0.0032 loss: 0.7845 03/05 04:14:53 - mmengine - INFO - Epoch(train) [63][3400/5005] lr: 1.0000e-03 eta: 22:01:59 time: 0.4242 data_time: 0.0032 loss: 0.8329 03/05 04:15:35 - mmengine - INFO - Epoch(train) [63][3500/5005] lr: 1.0000e-03 eta: 22:01:17 time: 0.4253 data_time: 0.0031 loss: 0.8248 03/05 04:16:18 - mmengine - INFO - Epoch(train) [63][3600/5005] lr: 1.0000e-03 eta: 22:00:34 time: 0.4165 data_time: 0.0032 loss: 0.9220 03/05 04:16:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:17:01 - mmengine - INFO - Epoch(train) [63][3700/5005] lr: 1.0000e-03 eta: 21:59:52 time: 0.4306 data_time: 0.0031 loss: 0.7596 03/05 04:17:43 - mmengine - INFO - Epoch(train) [63][3800/5005] lr: 1.0000e-03 eta: 21:59:10 time: 0.4237 data_time: 0.0033 loss: 0.9264 03/05 04:18:26 - mmengine - INFO - Epoch(train) [63][3900/5005] lr: 1.0000e-03 eta: 21:58:28 time: 0.4259 data_time: 0.0034 loss: 0.7447 03/05 04:19:09 - mmengine - INFO - Epoch(train) [63][4000/5005] lr: 1.0000e-03 eta: 21:57:45 time: 0.4186 data_time: 0.0031 loss: 0.8748 03/05 04:19:51 - mmengine - INFO - Epoch(train) [63][4100/5005] lr: 1.0000e-03 eta: 21:57:02 time: 0.4201 data_time: 0.0030 loss: 0.6946 03/05 04:20:34 - mmengine - INFO - Epoch(train) [63][4200/5005] lr: 1.0000e-03 eta: 21:56:20 time: 0.4428 data_time: 0.0030 loss: 0.8787 03/05 04:21:17 - mmengine - INFO - Epoch(train) [63][4300/5005] lr: 1.0000e-03 eta: 21:55:38 time: 0.4267 data_time: 0.0030 loss: 0.8604 03/05 04:21:59 - mmengine - INFO - Epoch(train) [63][4400/5005] lr: 1.0000e-03 eta: 21:54:55 time: 0.4198 data_time: 0.0031 loss: 0.8588 03/05 04:22:42 - mmengine - INFO - Epoch(train) [63][4500/5005] lr: 1.0000e-03 eta: 21:54:13 time: 0.4184 data_time: 0.0029 loss: 0.8537 03/05 04:23:25 - mmengine - INFO - Epoch(train) [63][4600/5005] lr: 1.0000e-03 eta: 21:53:30 time: 0.4284 data_time: 0.0029 loss: 0.7198 03/05 04:24:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:24:07 - mmengine - INFO - Epoch(train) [63][4700/5005] lr: 1.0000e-03 eta: 21:52:48 time: 0.4202 data_time: 0.0030 loss: 0.8971 03/05 04:24:50 - mmengine - INFO - Epoch(train) [63][4800/5005] lr: 1.0000e-03 eta: 21:52:06 time: 0.4222 data_time: 0.0032 loss: 0.6942 03/05 04:25:32 - mmengine - INFO - Epoch(train) [63][4900/5005] lr: 1.0000e-03 eta: 21:51:23 time: 0.4233 data_time: 0.0031 loss: 0.9131 03/05 04:26:15 - mmengine - INFO - Epoch(train) [63][5000/5005] lr: 1.0000e-03 eta: 21:50:40 time: 0.4205 data_time: 0.0029 loss: 0.8984 03/05 04:26:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:26:18 - mmengine - INFO - Saving checkpoint at 63 epochs 03/05 04:26:30 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:00:08 time: 0.0526 data_time: 0.0006 03/05 04:26:44 - mmengine - INFO - Epoch(val) [63][196/196] accuracy/top1: 78.8180 accuracy/top5: 94.3460 03/05 04:27:30 - mmengine - INFO - Epoch(train) [64][ 100/5005] lr: 1.0000e-03 eta: 21:49:58 time: 0.4262 data_time: 0.0030 loss: 0.9162 03/05 04:28:13 - mmengine - INFO - Epoch(train) [64][ 200/5005] lr: 1.0000e-03 eta: 21:49:16 time: 0.4266 data_time: 0.0032 loss: 0.7043 03/05 04:28:56 - mmengine - INFO - Epoch(train) [64][ 300/5005] lr: 1.0000e-03 eta: 21:48:34 time: 0.4266 data_time: 0.0032 loss: 0.8931 03/05 04:29:38 - mmengine - INFO - Epoch(train) [64][ 400/5005] lr: 1.0000e-03 eta: 21:47:51 time: 0.4237 data_time: 0.0032 loss: 0.7198 03/05 04:30:21 - mmengine - INFO - Epoch(train) [64][ 500/5005] lr: 1.0000e-03 eta: 21:47:08 time: 0.4209 data_time: 0.0033 loss: 0.8657 03/05 04:31:03 - mmengine - INFO - Epoch(train) [64][ 600/5005] lr: 1.0000e-03 eta: 21:46:26 time: 0.4241 data_time: 0.0032 loss: 0.8978 03/05 04:31:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:31:46 - mmengine - INFO - Epoch(train) [64][ 700/5005] lr: 1.0000e-03 eta: 21:45:44 time: 0.4257 data_time: 0.0034 loss: 0.7877 03/05 04:32:29 - mmengine - INFO - Epoch(train) [64][ 800/5005] lr: 1.0000e-03 eta: 21:45:01 time: 0.4268 data_time: 0.0033 loss: 0.9052 03/05 04:33:12 - mmengine - INFO - Epoch(train) [64][ 900/5005] lr: 1.0000e-03 eta: 21:44:19 time: 0.4255 data_time: 0.0034 loss: 0.8335 03/05 04:33:55 - mmengine - INFO - Epoch(train) [64][1000/5005] lr: 1.0000e-03 eta: 21:43:37 time: 0.4284 data_time: 0.0031 loss: 0.8711 03/05 04:34:38 - mmengine - INFO - Epoch(train) [64][1100/5005] lr: 1.0000e-03 eta: 21:42:55 time: 0.4339 data_time: 0.0030 loss: 0.9885 03/05 04:35:20 - mmengine - INFO - Epoch(train) [64][1200/5005] lr: 1.0000e-03 eta: 21:42:12 time: 0.4206 data_time: 0.0034 loss: 0.8875 03/05 04:36:03 - mmengine - INFO - Epoch(train) [64][1300/5005] lr: 1.0000e-03 eta: 21:41:30 time: 0.4204 data_time: 0.0031 loss: 0.8783 03/05 04:36:46 - mmengine - INFO - Epoch(train) [64][1400/5005] lr: 1.0000e-03 eta: 21:40:47 time: 0.4238 data_time: 0.0034 loss: 0.8547 03/05 04:37:29 - mmengine - INFO - Epoch(train) [64][1500/5005] lr: 1.0000e-03 eta: 21:40:05 time: 0.4294 data_time: 0.0030 loss: 0.7899 03/05 04:38:11 - mmengine - INFO - Epoch(train) [64][1600/5005] lr: 1.0000e-03 eta: 21:39:22 time: 0.4241 data_time: 0.0032 loss: 0.9484 03/05 04:38:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:38:54 - mmengine - INFO - Epoch(train) [64][1700/5005] lr: 1.0000e-03 eta: 21:38:40 time: 0.4301 data_time: 0.0031 loss: 0.9267 03/05 04:39:36 - mmengine - INFO - Epoch(train) [64][1800/5005] lr: 1.0000e-03 eta: 21:37:58 time: 0.4252 data_time: 0.0031 loss: 0.7187 03/05 04:40:19 - mmengine - INFO - Epoch(train) [64][1900/5005] lr: 1.0000e-03 eta: 21:37:15 time: 0.4334 data_time: 0.0030 loss: 0.8138 03/05 04:41:02 - mmengine - INFO - Epoch(train) [64][2000/5005] lr: 1.0000e-03 eta: 21:36:33 time: 0.4247 data_time: 0.0031 loss: 0.8133 03/05 04:41:45 - mmengine - INFO - Epoch(train) [64][2100/5005] lr: 1.0000e-03 eta: 21:35:50 time: 0.4338 data_time: 0.0031 loss: 0.8210 03/05 04:42:27 - mmengine - INFO - Epoch(train) [64][2200/5005] lr: 1.0000e-03 eta: 21:35:08 time: 0.4236 data_time: 0.0033 loss: 0.8318 03/05 04:43:10 - mmengine - INFO - Epoch(train) [64][2300/5005] lr: 1.0000e-03 eta: 21:34:25 time: 0.4209 data_time: 0.0033 loss: 0.7334 03/05 04:43:52 - mmengine - INFO - Epoch(train) [64][2400/5005] lr: 1.0000e-03 eta: 21:33:43 time: 0.4316 data_time: 0.0031 loss: 0.7458 03/05 04:44:35 - mmengine - INFO - Epoch(train) [64][2500/5005] lr: 1.0000e-03 eta: 21:33:01 time: 0.4223 data_time: 0.0030 loss: 0.9316 03/05 04:45:18 - mmengine - INFO - Epoch(train) [64][2600/5005] lr: 1.0000e-03 eta: 21:32:18 time: 0.4257 data_time: 0.0033 loss: 1.0268 03/05 04:45:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:46:01 - mmengine - INFO - Epoch(train) [64][2700/5005] lr: 1.0000e-03 eta: 21:31:36 time: 0.4303 data_time: 0.0031 loss: 0.7561 03/05 04:46:43 - mmengine - INFO - Epoch(train) [64][2800/5005] lr: 1.0000e-03 eta: 21:30:54 time: 0.4373 data_time: 0.0032 loss: 0.8518 03/05 04:47:26 - mmengine - INFO - Epoch(train) [64][2900/5005] lr: 1.0000e-03 eta: 21:30:11 time: 0.4234 data_time: 0.0030 loss: 0.7322 03/05 04:48:09 - mmengine - INFO - Epoch(train) [64][3000/5005] lr: 1.0000e-03 eta: 21:29:29 time: 0.4214 data_time: 0.0031 loss: 0.8631 03/05 04:48:51 - mmengine - INFO - Epoch(train) [64][3100/5005] lr: 1.0000e-03 eta: 21:28:46 time: 0.4271 data_time: 0.0030 loss: 0.8997 03/05 04:49:34 - mmengine - INFO - Epoch(train) [64][3200/5005] lr: 1.0000e-03 eta: 21:28:04 time: 0.4205 data_time: 0.0031 loss: 0.7970 03/05 04:50:16 - mmengine - INFO - Epoch(train) [64][3300/5005] lr: 1.0000e-03 eta: 21:27:21 time: 0.4224 data_time: 0.0031 loss: 0.7691 03/05 04:50:59 - mmengine - INFO - Epoch(train) [64][3400/5005] lr: 1.0000e-03 eta: 21:26:39 time: 0.4201 data_time: 0.0033 loss: 0.6822 03/05 04:51:41 - mmengine - INFO - Epoch(train) [64][3500/5005] lr: 1.0000e-03 eta: 21:25:56 time: 0.4309 data_time: 0.0032 loss: 0.9749 03/05 04:52:24 - mmengine - INFO - Epoch(train) [64][3600/5005] lr: 1.0000e-03 eta: 21:25:14 time: 0.4190 data_time: 0.0031 loss: 0.6881 03/05 04:53:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 04:53:06 - mmengine - INFO - Epoch(train) [64][3700/5005] lr: 1.0000e-03 eta: 21:24:31 time: 0.4235 data_time: 0.0032 loss: 0.7922 03/05 04:53:49 - mmengine - INFO - Epoch(train) [64][3800/5005] lr: 1.0000e-03 eta: 21:23:49 time: 0.4277 data_time: 0.0031 loss: 0.8473 03/05 04:54:31 - mmengine - INFO - Epoch(train) [64][3900/5005] lr: 1.0000e-03 eta: 21:23:06 time: 0.4260 data_time: 0.0031 loss: 1.0144 03/05 04:55:14 - mmengine - INFO - Epoch(train) [64][4000/5005] lr: 1.0000e-03 eta: 21:22:24 time: 0.4267 data_time: 0.0031 loss: 0.7890 03/05 04:55:57 - mmengine - INFO - Epoch(train) [64][4100/5005] lr: 1.0000e-03 eta: 21:21:41 time: 0.4244 data_time: 0.0030 loss: 0.8236 03/05 04:56:39 - mmengine - INFO - Epoch(train) [64][4200/5005] lr: 1.0000e-03 eta: 21:20:59 time: 0.4290 data_time: 0.0030 loss: 0.9117 03/05 04:57:22 - mmengine - INFO - Epoch(train) [64][4300/5005] lr: 1.0000e-03 eta: 21:20:17 time: 0.4282 data_time: 0.0031 loss: 0.8682 03/05 04:58:04 - mmengine - INFO - Epoch(train) [64][4400/5005] lr: 1.0000e-03 eta: 21:19:34 time: 0.4254 data_time: 0.0031 loss: 0.8848 03/05 04:58:47 - mmengine - INFO - Epoch(train) [64][4500/5005] lr: 1.0000e-03 eta: 21:18:52 time: 0.4265 data_time: 0.0030 loss: 0.8895 03/05 04:59:29 - mmengine - INFO - Epoch(train) [64][4600/5005] lr: 1.0000e-03 eta: 21:18:09 time: 0.4252 data_time: 0.0031 loss: 0.8777 03/05 05:00:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:00:12 - mmengine - INFO - Epoch(train) [64][4700/5005] lr: 1.0000e-03 eta: 21:17:26 time: 0.4216 data_time: 0.0032 loss: 1.0205 03/05 05:00:54 - mmengine - INFO - Epoch(train) [64][4800/5005] lr: 1.0000e-03 eta: 21:16:44 time: 0.4270 data_time: 0.0031 loss: 0.8757 03/05 05:01:37 - mmengine - INFO - Epoch(train) [64][4900/5005] lr: 1.0000e-03 eta: 21:16:02 time: 0.4248 data_time: 0.0031 loss: 0.9344 03/05 05:02:20 - mmengine - INFO - Epoch(train) [64][5000/5005] lr: 1.0000e-03 eta: 21:15:19 time: 0.4236 data_time: 0.0028 loss: 0.8298 03/05 05:02:22 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:02:23 - mmengine - INFO - Saving checkpoint at 64 epochs 03/05 05:02:35 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:00:08 time: 0.0284 data_time: 0.0005 03/05 05:02:48 - mmengine - INFO - Epoch(val) [64][196/196] accuracy/top1: 79.0740 accuracy/top5: 94.4220 03/05 05:03:35 - mmengine - INFO - Epoch(train) [65][ 100/5005] lr: 1.0000e-03 eta: 21:14:37 time: 0.4251 data_time: 0.0038 loss: 0.7304 03/05 05:04:18 - mmengine - INFO - Epoch(train) [65][ 200/5005] lr: 1.0000e-03 eta: 21:13:54 time: 0.4316 data_time: 0.0035 loss: 0.7129 03/05 05:05:01 - mmengine - INFO - Epoch(train) [65][ 300/5005] lr: 1.0000e-03 eta: 21:13:12 time: 0.4226 data_time: 0.0032 loss: 0.8481 03/05 05:05:44 - mmengine - INFO - Epoch(train) [65][ 400/5005] lr: 1.0000e-03 eta: 21:12:30 time: 0.4248 data_time: 0.0031 loss: 0.6789 03/05 05:06:26 - mmengine - INFO - Epoch(train) [65][ 500/5005] lr: 1.0000e-03 eta: 21:11:47 time: 0.4232 data_time: 0.0033 loss: 0.7348 03/05 05:07:09 - mmengine - INFO - Epoch(train) [65][ 600/5005] lr: 1.0000e-03 eta: 21:11:05 time: 0.4267 data_time: 0.0031 loss: 0.7204 03/05 05:07:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:07:52 - mmengine - INFO - Epoch(train) [65][ 700/5005] lr: 1.0000e-03 eta: 21:10:23 time: 0.4270 data_time: 0.0031 loss: 0.7947 03/05 05:08:35 - mmengine - INFO - Epoch(train) [65][ 800/5005] lr: 1.0000e-03 eta: 21:09:40 time: 0.4235 data_time: 0.0034 loss: 0.9194 03/05 05:09:18 - mmengine - INFO - Epoch(train) [65][ 900/5005] lr: 1.0000e-03 eta: 21:08:58 time: 0.4218 data_time: 0.0032 loss: 0.8812 03/05 05:10:01 - mmengine - INFO - Epoch(train) [65][1000/5005] lr: 1.0000e-03 eta: 21:08:16 time: 0.4284 data_time: 0.0032 loss: 0.7846 03/05 05:10:43 - mmengine - INFO - Epoch(train) [65][1100/5005] lr: 1.0000e-03 eta: 21:07:34 time: 0.4234 data_time: 0.0036 loss: 0.8029 03/05 05:11:26 - mmengine - INFO - Epoch(train) [65][1200/5005] lr: 1.0000e-03 eta: 21:06:51 time: 0.4367 data_time: 0.0045 loss: 0.7781 03/05 05:12:09 - mmengine - INFO - Epoch(train) [65][1300/5005] lr: 1.0000e-03 eta: 21:06:09 time: 0.4271 data_time: 0.0031 loss: 0.9451 03/05 05:12:52 - mmengine - INFO - Epoch(train) [65][1400/5005] lr: 1.0000e-03 eta: 21:05:27 time: 0.4274 data_time: 0.0033 loss: 0.8440 03/05 05:13:35 - mmengine - INFO - Epoch(train) [65][1500/5005] lr: 1.0000e-03 eta: 21:04:44 time: 0.4225 data_time: 0.0031 loss: 0.9301 03/05 05:14:18 - mmengine - INFO - Epoch(train) [65][1600/5005] lr: 1.0000e-03 eta: 21:04:02 time: 0.4271 data_time: 0.0033 loss: 0.8437 03/05 05:14:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:15:00 - mmengine - INFO - Epoch(train) [65][1700/5005] lr: 1.0000e-03 eta: 21:03:20 time: 0.4260 data_time: 0.0033 loss: 0.9277 03/05 05:15:43 - mmengine - INFO - Epoch(train) [65][1800/5005] lr: 1.0000e-03 eta: 21:02:37 time: 0.4190 data_time: 0.0032 loss: 1.0415 03/05 05:16:26 - mmengine - INFO - Epoch(train) [65][1900/5005] lr: 1.0000e-03 eta: 21:01:55 time: 0.4248 data_time: 0.0031 loss: 0.8154 03/05 05:17:08 - mmengine - INFO - Epoch(train) [65][2000/5005] lr: 1.0000e-03 eta: 21:01:12 time: 0.4291 data_time: 0.0032 loss: 1.0353 03/05 05:17:51 - mmengine - INFO - Epoch(train) [65][2100/5005] lr: 1.0000e-03 eta: 21:00:30 time: 0.4215 data_time: 0.0033 loss: 0.8282 03/05 05:18:34 - mmengine - INFO - Epoch(train) [65][2200/5005] lr: 1.0000e-03 eta: 20:59:47 time: 0.4289 data_time: 0.0032 loss: 0.8101 03/05 05:19:16 - mmengine - INFO - Epoch(train) [65][2300/5005] lr: 1.0000e-03 eta: 20:59:05 time: 0.4247 data_time: 0.0029 loss: 0.7719 03/05 05:19:59 - mmengine - INFO - Epoch(train) [65][2400/5005] lr: 1.0000e-03 eta: 20:58:22 time: 0.4209 data_time: 0.0033 loss: 0.9664 03/05 05:20:41 - mmengine - INFO - Epoch(train) [65][2500/5005] lr: 1.0000e-03 eta: 20:57:40 time: 0.4166 data_time: 0.0033 loss: 0.8363 03/05 05:21:24 - mmengine - INFO - Epoch(train) [65][2600/5005] lr: 1.0000e-03 eta: 20:56:57 time: 0.4218 data_time: 0.0030 loss: 0.9908 03/05 05:21:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:22:07 - mmengine - INFO - Epoch(train) [65][2700/5005] lr: 1.0000e-03 eta: 20:56:15 time: 0.4258 data_time: 0.0030 loss: 0.7502 03/05 05:22:49 - mmengine - INFO - Epoch(train) [65][2800/5005] lr: 1.0000e-03 eta: 20:55:33 time: 0.4194 data_time: 0.0030 loss: 0.8574 03/05 05:23:32 - mmengine - INFO - Epoch(train) [65][2900/5005] lr: 1.0000e-03 eta: 20:54:50 time: 0.4271 data_time: 0.0032 loss: 0.7424 03/05 05:24:14 - mmengine - INFO - Epoch(train) [65][3000/5005] lr: 1.0000e-03 eta: 20:54:07 time: 0.4286 data_time: 0.0033 loss: 0.6315 03/05 05:24:57 - mmengine - INFO - Epoch(train) [65][3100/5005] lr: 1.0000e-03 eta: 20:53:25 time: 0.4217 data_time: 0.0031 loss: 0.8325 03/05 05:25:40 - mmengine - INFO - Epoch(train) [65][3200/5005] lr: 1.0000e-03 eta: 20:52:43 time: 0.4329 data_time: 0.0031 loss: 0.8858 03/05 05:26:22 - mmengine - INFO - Epoch(train) [65][3300/5005] lr: 1.0000e-03 eta: 20:52:00 time: 0.4270 data_time: 0.0031 loss: 0.8804 03/05 05:27:05 - mmengine - INFO - Epoch(train) [65][3400/5005] lr: 1.0000e-03 eta: 20:51:18 time: 0.4258 data_time: 0.0030 loss: 0.8550 03/05 05:27:47 - mmengine - INFO - Epoch(train) [65][3500/5005] lr: 1.0000e-03 eta: 20:50:35 time: 0.4276 data_time: 0.0030 loss: 0.6860 03/05 05:28:30 - mmengine - INFO - Epoch(train) [65][3600/5005] lr: 1.0000e-03 eta: 20:49:53 time: 0.4244 data_time: 0.0030 loss: 0.7836 03/05 05:29:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:29:13 - mmengine - INFO - Epoch(train) [65][3700/5005] lr: 1.0000e-03 eta: 20:49:10 time: 0.4243 data_time: 0.0031 loss: 0.9299 03/05 05:29:55 - mmengine - INFO - Epoch(train) [65][3800/5005] lr: 1.0000e-03 eta: 20:48:28 time: 0.4339 data_time: 0.0033 loss: 0.9920 03/05 05:30:38 - mmengine - INFO - Epoch(train) [65][3900/5005] lr: 1.0000e-03 eta: 20:47:46 time: 0.4239 data_time: 0.0031 loss: 0.7640 03/05 05:31:20 - mmengine - INFO - Epoch(train) [65][4000/5005] lr: 1.0000e-03 eta: 20:47:03 time: 0.4227 data_time: 0.0030 loss: 0.9596 03/05 05:32:02 - mmengine - INFO - Epoch(train) [65][4100/5005] lr: 1.0000e-03 eta: 20:46:20 time: 0.4204 data_time: 0.0032 loss: 0.7765 03/05 05:32:45 - mmengine - INFO - Epoch(train) [65][4200/5005] lr: 1.0000e-03 eta: 20:45:38 time: 0.4181 data_time: 0.0030 loss: 0.7817 03/05 05:33:28 - mmengine - INFO - Epoch(train) [65][4300/5005] lr: 1.0000e-03 eta: 20:44:55 time: 0.4221 data_time: 0.0030 loss: 0.9434 03/05 05:34:10 - mmengine - INFO - Epoch(train) [65][4400/5005] lr: 1.0000e-03 eta: 20:44:13 time: 0.4205 data_time: 0.0031 loss: 0.7755 03/05 05:34:53 - mmengine - INFO - Epoch(train) [65][4500/5005] lr: 1.0000e-03 eta: 20:43:30 time: 0.4262 data_time: 0.0032 loss: 0.8086 03/05 05:35:35 - mmengine - INFO - Epoch(train) [65][4600/5005] lr: 1.0000e-03 eta: 20:42:48 time: 0.4207 data_time: 0.0030 loss: 0.8558 03/05 05:36:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:36:18 - mmengine - INFO - Epoch(train) [65][4700/5005] lr: 1.0000e-03 eta: 20:42:05 time: 0.4254 data_time: 0.0033 loss: 0.8316 03/05 05:37:00 - mmengine - INFO - Epoch(train) [65][4800/5005] lr: 1.0000e-03 eta: 20:41:23 time: 0.4313 data_time: 0.0030 loss: 0.9050 03/05 05:37:43 - mmengine - INFO - Epoch(train) [65][4900/5005] lr: 1.0000e-03 eta: 20:40:40 time: 0.4239 data_time: 0.0030 loss: 0.8061 03/05 05:38:25 - mmengine - INFO - Epoch(train) [65][5000/5005] lr: 1.0000e-03 eta: 20:39:58 time: 0.4273 data_time: 0.0030 loss: 0.8288 03/05 05:38:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:38:28 - mmengine - INFO - Saving checkpoint at 65 epochs 03/05 05:38:40 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:00:08 time: 0.0281 data_time: 0.0004 03/05 05:38:54 - mmengine - INFO - Epoch(val) [65][196/196] accuracy/top1: 79.0040 accuracy/top5: 94.4000 03/05 05:39:40 - mmengine - INFO - Epoch(train) [66][ 100/5005] lr: 1.0000e-03 eta: 20:39:15 time: 0.4257 data_time: 0.0032 loss: 0.8949 03/05 05:40:22 - mmengine - INFO - Epoch(train) [66][ 200/5005] lr: 1.0000e-03 eta: 20:38:33 time: 0.4270 data_time: 0.0032 loss: 0.8875 03/05 05:41:05 - mmengine - INFO - Epoch(train) [66][ 300/5005] lr: 1.0000e-03 eta: 20:37:50 time: 0.4288 data_time: 0.0033 loss: 0.9087 03/05 05:41:48 - mmengine - INFO - Epoch(train) [66][ 400/5005] lr: 1.0000e-03 eta: 20:37:08 time: 0.4246 data_time: 0.0031 loss: 0.9357 03/05 05:42:31 - mmengine - INFO - Epoch(train) [66][ 500/5005] lr: 1.0000e-03 eta: 20:36:25 time: 0.4247 data_time: 0.0031 loss: 0.8437 03/05 05:43:13 - mmengine - INFO - Epoch(train) [66][ 600/5005] lr: 1.0000e-03 eta: 20:35:43 time: 0.4250 data_time: 0.0031 loss: 1.1081 03/05 05:43:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:43:56 - mmengine - INFO - Epoch(train) [66][ 700/5005] lr: 1.0000e-03 eta: 20:35:00 time: 0.4274 data_time: 0.0031 loss: 0.9545 03/05 05:44:38 - mmengine - INFO - Epoch(train) [66][ 800/5005] lr: 1.0000e-03 eta: 20:34:18 time: 0.4329 data_time: 0.0031 loss: 0.6337 03/05 05:45:21 - mmengine - INFO - Epoch(train) [66][ 900/5005] lr: 1.0000e-03 eta: 20:33:35 time: 0.4260 data_time: 0.0031 loss: 0.8706 03/05 05:46:03 - mmengine - INFO - Epoch(train) [66][1000/5005] lr: 1.0000e-03 eta: 20:32:53 time: 0.4181 data_time: 0.0033 loss: 0.7021 03/05 05:46:46 - mmengine - INFO - Epoch(train) [66][1100/5005] lr: 1.0000e-03 eta: 20:32:10 time: 0.4164 data_time: 0.0030 loss: 0.7520 03/05 05:47:28 - mmengine - INFO - Epoch(train) [66][1200/5005] lr: 1.0000e-03 eta: 20:31:28 time: 0.4279 data_time: 0.0033 loss: 0.8174 03/05 05:48:11 - mmengine - INFO - Epoch(train) [66][1300/5005] lr: 1.0000e-03 eta: 20:30:45 time: 0.4342 data_time: 0.0030 loss: 0.8807 03/05 05:48:53 - mmengine - INFO - Epoch(train) [66][1400/5005] lr: 1.0000e-03 eta: 20:30:03 time: 0.4283 data_time: 0.0033 loss: 0.8784 03/05 05:49:36 - mmengine - INFO - Epoch(train) [66][1500/5005] lr: 1.0000e-03 eta: 20:29:20 time: 0.4213 data_time: 0.0039 loss: 1.1323 03/05 05:50:18 - mmengine - INFO - Epoch(train) [66][1600/5005] lr: 1.0000e-03 eta: 20:28:38 time: 0.4235 data_time: 0.0031 loss: 0.9083 03/05 05:50:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:51:01 - mmengine - INFO - Epoch(train) [66][1700/5005] lr: 1.0000e-03 eta: 20:27:56 time: 0.4311 data_time: 0.0033 loss: 0.8587 03/05 05:51:44 - mmengine - INFO - Epoch(train) [66][1800/5005] lr: 1.0000e-03 eta: 20:27:13 time: 0.4243 data_time: 0.0031 loss: 0.8642 03/05 05:52:26 - mmengine - INFO - Epoch(train) [66][1900/5005] lr: 1.0000e-03 eta: 20:26:31 time: 0.4260 data_time: 0.0030 loss: 0.7051 03/05 05:53:09 - mmengine - INFO - Epoch(train) [66][2000/5005] lr: 1.0000e-03 eta: 20:25:48 time: 0.4243 data_time: 0.0032 loss: 0.8948 03/05 05:53:51 - mmengine - INFO - Epoch(train) [66][2100/5005] lr: 1.0000e-03 eta: 20:25:05 time: 0.4213 data_time: 0.0030 loss: 0.7341 03/05 05:54:33 - mmengine - INFO - Epoch(train) [66][2200/5005] lr: 1.0000e-03 eta: 20:24:23 time: 0.4244 data_time: 0.0029 loss: 0.9258 03/05 05:55:16 - mmengine - INFO - Epoch(train) [66][2300/5005] lr: 1.0000e-03 eta: 20:23:40 time: 0.4240 data_time: 0.0030 loss: 0.7465 03/05 05:55:58 - mmengine - INFO - Epoch(train) [66][2400/5005] lr: 1.0000e-03 eta: 20:22:58 time: 0.4259 data_time: 0.0031 loss: 0.9170 03/05 05:56:41 - mmengine - INFO - Epoch(train) [66][2500/5005] lr: 1.0000e-03 eta: 20:22:15 time: 0.4317 data_time: 0.0030 loss: 0.8900 03/05 05:57:23 - mmengine - INFO - Epoch(train) [66][2600/5005] lr: 1.0000e-03 eta: 20:21:33 time: 0.4204 data_time: 0.0031 loss: 0.8844 03/05 05:57:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 05:58:06 - mmengine - INFO - Epoch(train) [66][2700/5005] lr: 1.0000e-03 eta: 20:20:50 time: 0.4220 data_time: 0.0030 loss: 0.7250 03/05 05:58:49 - mmengine - INFO - Epoch(train) [66][2800/5005] lr: 1.0000e-03 eta: 20:20:08 time: 0.4254 data_time: 0.0030 loss: 0.9151 03/05 05:59:31 - mmengine - INFO - Epoch(train) [66][2900/5005] lr: 1.0000e-03 eta: 20:19:25 time: 0.4164 data_time: 0.0031 loss: 0.9211 03/05 06:00:13 - mmengine - INFO - Epoch(train) [66][3000/5005] lr: 1.0000e-03 eta: 20:18:43 time: 0.4215 data_time: 0.0032 loss: 0.8109 03/05 06:00:56 - mmengine - INFO - Epoch(train) [66][3100/5005] lr: 1.0000e-03 eta: 20:18:00 time: 0.4246 data_time: 0.0033 loss: 0.9314 03/05 06:01:38 - mmengine - INFO - Epoch(train) [66][3200/5005] lr: 1.0000e-03 eta: 20:17:18 time: 0.4230 data_time: 0.0033 loss: 0.8104 03/05 06:02:21 - mmengine - INFO - Epoch(train) [66][3300/5005] lr: 1.0000e-03 eta: 20:16:35 time: 0.4182 data_time: 0.0031 loss: 0.9713 03/05 06:03:04 - mmengine - INFO - Epoch(train) [66][3400/5005] lr: 1.0000e-03 eta: 20:15:53 time: 0.4244 data_time: 0.0030 loss: 0.8365 03/05 06:03:46 - mmengine - INFO - Epoch(train) [66][3500/5005] lr: 1.0000e-03 eta: 20:15:10 time: 0.4209 data_time: 0.0034 loss: 0.8313 03/05 06:04:29 - mmengine - INFO - Epoch(train) [66][3600/5005] lr: 1.0000e-03 eta: 20:14:28 time: 0.4261 data_time: 0.0033 loss: 0.7879 03/05 06:05:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:05:11 - mmengine - INFO - Epoch(train) [66][3700/5005] lr: 1.0000e-03 eta: 20:13:45 time: 0.4223 data_time: 0.0032 loss: 0.7819 03/05 06:05:54 - mmengine - INFO - Epoch(train) [66][3800/5005] lr: 1.0000e-03 eta: 20:13:03 time: 0.4337 data_time: 0.0033 loss: 0.8353 03/05 06:06:36 - mmengine - INFO - Epoch(train) [66][3900/5005] lr: 1.0000e-03 eta: 20:12:20 time: 0.4236 data_time: 0.0031 loss: 0.8748 03/05 06:07:19 - mmengine - INFO - Epoch(train) [66][4000/5005] lr: 1.0000e-03 eta: 20:11:38 time: 0.4272 data_time: 0.0034 loss: 0.8145 03/05 06:08:02 - mmengine - INFO - Epoch(train) [66][4100/5005] lr: 1.0000e-03 eta: 20:10:55 time: 0.4246 data_time: 0.0032 loss: 0.7398 03/05 06:08:44 - mmengine - INFO - Epoch(train) [66][4200/5005] lr: 1.0000e-03 eta: 20:10:13 time: 0.4222 data_time: 0.0030 loss: 0.7999 03/05 06:09:27 - mmengine - INFO - Epoch(train) [66][4300/5005] lr: 1.0000e-03 eta: 20:09:31 time: 0.4274 data_time: 0.0031 loss: 0.7972 03/05 06:10:10 - mmengine - INFO - Epoch(train) [66][4400/5005] lr: 1.0000e-03 eta: 20:08:48 time: 0.4251 data_time: 0.0031 loss: 0.7462 03/05 06:10:52 - mmengine - INFO - Epoch(train) [66][4500/5005] lr: 1.0000e-03 eta: 20:08:06 time: 0.4270 data_time: 0.0033 loss: 0.8119 03/05 06:11:35 - mmengine - INFO - Epoch(train) [66][4600/5005] lr: 1.0000e-03 eta: 20:07:23 time: 0.4246 data_time: 0.0032 loss: 0.8377 03/05 06:12:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:12:18 - mmengine - INFO - Epoch(train) [66][4700/5005] lr: 1.0000e-03 eta: 20:06:41 time: 0.4362 data_time: 0.0030 loss: 0.9716 03/05 06:13:00 - mmengine - INFO - Epoch(train) [66][4800/5005] lr: 1.0000e-03 eta: 20:05:58 time: 0.4350 data_time: 0.0031 loss: 0.8282 03/05 06:13:43 - mmengine - INFO - Epoch(train) [66][4900/5005] lr: 1.0000e-03 eta: 20:05:16 time: 0.4271 data_time: 0.0031 loss: 0.8490 03/05 06:14:25 - mmengine - INFO - Epoch(train) [66][5000/5005] lr: 1.0000e-03 eta: 20:04:33 time: 0.4293 data_time: 0.0029 loss: 0.9618 03/05 06:14:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:14:28 - mmengine - INFO - Saving checkpoint at 66 epochs 03/05 06:14:40 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:00:08 time: 0.0273 data_time: 0.0005 03/05 06:14:54 - mmengine - INFO - Epoch(val) [66][196/196] accuracy/top1: 79.1260 accuracy/top5: 94.4760 03/05 06:15:40 - mmengine - INFO - Epoch(train) [67][ 100/5005] lr: 1.0000e-03 eta: 20:03:50 time: 0.4241 data_time: 0.0032 loss: 0.7489 03/05 06:16:23 - mmengine - INFO - Epoch(train) [67][ 200/5005] lr: 1.0000e-03 eta: 20:03:08 time: 0.4528 data_time: 0.0030 loss: 0.7748 03/05 06:17:05 - mmengine - INFO - Epoch(train) [67][ 300/5005] lr: 1.0000e-03 eta: 20:02:26 time: 0.4257 data_time: 0.0030 loss: 0.9211 03/05 06:17:48 - mmengine - INFO - Epoch(train) [67][ 400/5005] lr: 1.0000e-03 eta: 20:01:43 time: 0.4237 data_time: 0.0030 loss: 0.8340 03/05 06:18:30 - mmengine - INFO - Epoch(train) [67][ 500/5005] lr: 1.0000e-03 eta: 20:01:01 time: 0.4255 data_time: 0.0031 loss: 0.7832 03/05 06:19:13 - mmengine - INFO - Epoch(train) [67][ 600/5005] lr: 1.0000e-03 eta: 20:00:18 time: 0.4304 data_time: 0.0034 loss: 0.6686 03/05 06:19:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:19:56 - mmengine - INFO - Epoch(train) [67][ 700/5005] lr: 1.0000e-03 eta: 19:59:36 time: 0.4286 data_time: 0.0033 loss: 0.7350 03/05 06:20:38 - mmengine - INFO - Epoch(train) [67][ 800/5005] lr: 1.0000e-03 eta: 19:58:53 time: 0.4263 data_time: 0.0030 loss: 0.8015 03/05 06:21:21 - mmengine - INFO - Epoch(train) [67][ 900/5005] lr: 1.0000e-03 eta: 19:58:11 time: 0.4304 data_time: 0.0030 loss: 0.8152 03/05 06:22:03 - mmengine - INFO - Epoch(train) [67][1000/5005] lr: 1.0000e-03 eta: 19:57:29 time: 0.4241 data_time: 0.0036 loss: 0.9066 03/05 06:22:46 - mmengine - INFO - Epoch(train) [67][1100/5005] lr: 1.0000e-03 eta: 19:56:46 time: 0.4321 data_time: 0.0029 loss: 0.8263 03/05 06:23:29 - mmengine - INFO - Epoch(train) [67][1200/5005] lr: 1.0000e-03 eta: 19:56:04 time: 0.4234 data_time: 0.0033 loss: 0.6922 03/05 06:24:11 - mmengine - INFO - Epoch(train) [67][1300/5005] lr: 1.0000e-03 eta: 19:55:21 time: 0.4276 data_time: 0.0031 loss: 0.8597 03/05 06:24:54 - mmengine - INFO - Epoch(train) [67][1400/5005] lr: 1.0000e-03 eta: 19:54:39 time: 0.4257 data_time: 0.0032 loss: 0.7450 03/05 06:25:37 - mmengine - INFO - Epoch(train) [67][1500/5005] lr: 1.0000e-03 eta: 19:53:56 time: 0.4214 data_time: 0.0032 loss: 0.8708 03/05 06:26:19 - mmengine - INFO - Epoch(train) [67][1600/5005] lr: 1.0000e-03 eta: 19:53:14 time: 0.4386 data_time: 0.0032 loss: 0.8044 03/05 06:26:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:27:02 - mmengine - INFO - Epoch(train) [67][1700/5005] lr: 1.0000e-03 eta: 19:52:31 time: 0.4266 data_time: 0.0031 loss: 0.6814 03/05 06:27:45 - mmengine - INFO - Epoch(train) [67][1800/5005] lr: 1.0000e-03 eta: 19:51:49 time: 0.4254 data_time: 0.0030 loss: 0.9537 03/05 06:28:27 - mmengine - INFO - Epoch(train) [67][1900/5005] lr: 1.0000e-03 eta: 19:51:07 time: 0.4194 data_time: 0.0031 loss: 0.8160 03/05 06:29:10 - mmengine - INFO - Epoch(train) [67][2000/5005] lr: 1.0000e-03 eta: 19:50:24 time: 0.4257 data_time: 0.0032 loss: 0.7803 03/05 06:29:52 - mmengine - INFO - Epoch(train) [67][2100/5005] lr: 1.0000e-03 eta: 19:49:42 time: 0.4207 data_time: 0.0033 loss: 0.9462 03/05 06:30:35 - mmengine - INFO - Epoch(train) [67][2200/5005] lr: 1.0000e-03 eta: 19:48:59 time: 0.4368 data_time: 0.0032 loss: 0.8123 03/05 06:31:18 - mmengine - INFO - Epoch(train) [67][2300/5005] lr: 1.0000e-03 eta: 19:48:17 time: 0.4314 data_time: 0.0033 loss: 0.8101 03/05 06:32:01 - mmengine - INFO - Epoch(train) [67][2400/5005] lr: 1.0000e-03 eta: 19:47:34 time: 0.4265 data_time: 0.0030 loss: 0.8741 03/05 06:32:43 - mmengine - INFO - Epoch(train) [67][2500/5005] lr: 1.0000e-03 eta: 19:46:52 time: 0.4233 data_time: 0.0031 loss: 0.6776 03/05 06:33:26 - mmengine - INFO - Epoch(train) [67][2600/5005] lr: 1.0000e-03 eta: 19:46:10 time: 0.4236 data_time: 0.0031 loss: 0.6821 03/05 06:33:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:34:09 - mmengine - INFO - Epoch(train) [67][2700/5005] lr: 1.0000e-03 eta: 19:45:27 time: 0.4270 data_time: 0.0030 loss: 0.7234 03/05 06:34:51 - mmengine - INFO - Epoch(train) [67][2800/5005] lr: 1.0000e-03 eta: 19:44:45 time: 0.4268 data_time: 0.0032 loss: 0.8506 03/05 06:35:34 - mmengine - INFO - Epoch(train) [67][2900/5005] lr: 1.0000e-03 eta: 19:44:02 time: 0.4322 data_time: 0.0031 loss: 0.7598 03/05 06:36:17 - mmengine - INFO - Epoch(train) [67][3000/5005] lr: 1.0000e-03 eta: 19:43:20 time: 0.4259 data_time: 0.0034 loss: 0.7399 03/05 06:37:00 - mmengine - INFO - Epoch(train) [67][3100/5005] lr: 1.0000e-03 eta: 19:42:38 time: 0.4217 data_time: 0.0032 loss: 0.8251 03/05 06:37:42 - mmengine - INFO - Epoch(train) [67][3200/5005] lr: 1.0000e-03 eta: 19:41:55 time: 0.4340 data_time: 0.0031 loss: 0.8807 03/05 06:38:25 - mmengine - INFO - Epoch(train) [67][3300/5005] lr: 1.0000e-03 eta: 19:41:13 time: 0.4235 data_time: 0.0031 loss: 0.8178 03/05 06:39:07 - mmengine - INFO - Epoch(train) [67][3400/5005] lr: 1.0000e-03 eta: 19:40:30 time: 0.4260 data_time: 0.0030 loss: 0.7792 03/05 06:39:50 - mmengine - INFO - Epoch(train) [67][3500/5005] lr: 1.0000e-03 eta: 19:39:48 time: 0.4254 data_time: 0.0037 loss: 0.8525 03/05 06:40:33 - mmengine - INFO - Epoch(train) [67][3600/5005] lr: 1.0000e-03 eta: 19:39:05 time: 0.4264 data_time: 0.0030 loss: 0.8752 03/05 06:41:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:41:15 - mmengine - INFO - Epoch(train) [67][3700/5005] lr: 1.0000e-03 eta: 19:38:23 time: 0.4286 data_time: 0.0033 loss: 0.8556 03/05 06:41:58 - mmengine - INFO - Epoch(train) [67][3800/5005] lr: 1.0000e-03 eta: 19:37:40 time: 0.4266 data_time: 0.0030 loss: 0.9261 03/05 06:42:41 - mmengine - INFO - Epoch(train) [67][3900/5005] lr: 1.0000e-03 eta: 19:36:58 time: 0.4270 data_time: 0.0033 loss: 0.8001 03/05 06:43:23 - mmengine - INFO - Epoch(train) [67][4000/5005] lr: 1.0000e-03 eta: 19:36:16 time: 0.4273 data_time: 0.0033 loss: 0.7676 03/05 06:44:06 - mmengine - INFO - Epoch(train) [67][4100/5005] lr: 1.0000e-03 eta: 19:35:33 time: 0.4318 data_time: 0.0031 loss: 0.8988 03/05 06:44:49 - mmengine - INFO - Epoch(train) [67][4200/5005] lr: 1.0000e-03 eta: 19:34:51 time: 0.4215 data_time: 0.0031 loss: 0.9018 03/05 06:45:32 - mmengine - INFO - Epoch(train) [67][4300/5005] lr: 1.0000e-03 eta: 19:34:08 time: 0.4305 data_time: 0.0031 loss: 0.7514 03/05 06:46:14 - mmengine - INFO - Epoch(train) [67][4400/5005] lr: 1.0000e-03 eta: 19:33:26 time: 0.4317 data_time: 0.0032 loss: 0.7672 03/05 06:46:57 - mmengine - INFO - Epoch(train) [67][4500/5005] lr: 1.0000e-03 eta: 19:32:43 time: 0.4243 data_time: 0.0032 loss: 0.6994 03/05 06:47:39 - mmengine - INFO - Epoch(train) [67][4600/5005] lr: 1.0000e-03 eta: 19:32:01 time: 0.4237 data_time: 0.0031 loss: 0.8089 03/05 06:48:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:48:22 - mmengine - INFO - Epoch(train) [67][4700/5005] lr: 1.0000e-03 eta: 19:31:18 time: 0.4204 data_time: 0.0033 loss: 0.6858 03/05 06:49:04 - mmengine - INFO - Epoch(train) [67][4800/5005] lr: 1.0000e-03 eta: 19:30:36 time: 0.4241 data_time: 0.0030 loss: 0.7012 03/05 06:49:47 - mmengine - INFO - Epoch(train) [67][4900/5005] lr: 1.0000e-03 eta: 19:29:53 time: 0.4280 data_time: 0.0032 loss: 0.8323 03/05 06:50:29 - mmengine - INFO - Epoch(train) [67][5000/5005] lr: 1.0000e-03 eta: 19:29:11 time: 0.4189 data_time: 0.0030 loss: 0.8061 03/05 06:50:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:50:32 - mmengine - INFO - Saving checkpoint at 67 epochs 03/05 06:50:44 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:00:08 time: 0.0279 data_time: 0.0005 03/05 06:50:58 - mmengine - INFO - Epoch(val) [67][196/196] accuracy/top1: 79.1640 accuracy/top5: 94.3840 03/05 06:51:44 - mmengine - INFO - Epoch(train) [68][ 100/5005] lr: 1.0000e-03 eta: 19:28:28 time: 0.4363 data_time: 0.0035 loss: 0.8628 03/05 06:52:26 - mmengine - INFO - Epoch(train) [68][ 200/5005] lr: 1.0000e-03 eta: 19:27:45 time: 0.4213 data_time: 0.0032 loss: 0.7465 03/05 06:53:09 - mmengine - INFO - Epoch(train) [68][ 300/5005] lr: 1.0000e-03 eta: 19:27:03 time: 0.4216 data_time: 0.0033 loss: 0.8164 03/05 06:53:52 - mmengine - INFO - Epoch(train) [68][ 400/5005] lr: 1.0000e-03 eta: 19:26:21 time: 0.4215 data_time: 0.0034 loss: 0.8957 03/05 06:54:34 - mmengine - INFO - Epoch(train) [68][ 500/5005] lr: 1.0000e-03 eta: 19:25:38 time: 0.4190 data_time: 0.0032 loss: 0.7236 03/05 06:55:17 - mmengine - INFO - Epoch(train) [68][ 600/5005] lr: 1.0000e-03 eta: 19:24:56 time: 0.4294 data_time: 0.0035 loss: 0.6716 03/05 06:55:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 06:56:00 - mmengine - INFO - Epoch(train) [68][ 700/5005] lr: 1.0000e-03 eta: 19:24:13 time: 0.4221 data_time: 0.0034 loss: 0.8409 03/05 06:56:42 - mmengine - INFO - Epoch(train) [68][ 800/5005] lr: 1.0000e-03 eta: 19:23:31 time: 0.4239 data_time: 0.0031 loss: 0.8091 03/05 06:57:25 - mmengine - INFO - Epoch(train) [68][ 900/5005] lr: 1.0000e-03 eta: 19:22:48 time: 0.4221 data_time: 0.0032 loss: 0.7877 03/05 06:58:07 - mmengine - INFO - Epoch(train) [68][1000/5005] lr: 1.0000e-03 eta: 19:22:06 time: 0.4244 data_time: 0.0030 loss: 0.6599 03/05 06:58:50 - mmengine - INFO - Epoch(train) [68][1100/5005] lr: 1.0000e-03 eta: 19:21:23 time: 0.4241 data_time: 0.0033 loss: 0.7965 03/05 06:59:32 - mmengine - INFO - Epoch(train) [68][1200/5005] lr: 1.0000e-03 eta: 19:20:41 time: 0.4259 data_time: 0.0032 loss: 0.8610 03/05 07:00:15 - mmengine - INFO - Epoch(train) [68][1300/5005] lr: 1.0000e-03 eta: 19:19:58 time: 0.4255 data_time: 0.0034 loss: 0.8174 03/05 07:00:58 - mmengine - INFO - Epoch(train) [68][1400/5005] lr: 1.0000e-03 eta: 19:19:16 time: 0.4270 data_time: 0.0031 loss: 0.7439 03/05 07:01:40 - mmengine - INFO - Epoch(train) [68][1500/5005] lr: 1.0000e-03 eta: 19:18:34 time: 0.4320 data_time: 0.0031 loss: 0.9470 03/05 07:02:23 - mmengine - INFO - Epoch(train) [68][1600/5005] lr: 1.0000e-03 eta: 19:17:51 time: 0.4256 data_time: 0.0032 loss: 0.5690 03/05 07:02:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:03:06 - mmengine - INFO - Epoch(train) [68][1700/5005] lr: 1.0000e-03 eta: 19:17:09 time: 0.4207 data_time: 0.0033 loss: 0.7841 03/05 07:03:48 - mmengine - INFO - Epoch(train) [68][1800/5005] lr: 1.0000e-03 eta: 19:16:26 time: 0.4231 data_time: 0.0033 loss: 0.7984 03/05 07:04:31 - mmengine - INFO - Epoch(train) [68][1900/5005] lr: 1.0000e-03 eta: 19:15:44 time: 0.4250 data_time: 0.0034 loss: 0.7105 03/05 07:05:13 - mmengine - INFO - Epoch(train) [68][2000/5005] lr: 1.0000e-03 eta: 19:15:01 time: 0.4173 data_time: 0.0031 loss: 0.8260 03/05 07:05:56 - mmengine - INFO - Epoch(train) [68][2100/5005] lr: 1.0000e-03 eta: 19:14:19 time: 0.4200 data_time: 0.0035 loss: 0.7615 03/05 07:06:38 - mmengine - INFO - Epoch(train) [68][2200/5005] lr: 1.0000e-03 eta: 19:13:36 time: 0.4261 data_time: 0.0034 loss: 0.8466 03/05 07:07:21 - mmengine - INFO - Epoch(train) [68][2300/5005] lr: 1.0000e-03 eta: 19:12:54 time: 0.4203 data_time: 0.0032 loss: 0.6551 03/05 07:08:04 - mmengine - INFO - Epoch(train) [68][2400/5005] lr: 1.0000e-03 eta: 19:12:11 time: 0.4206 data_time: 0.0034 loss: 0.8576 03/05 07:08:46 - mmengine - INFO - Epoch(train) [68][2500/5005] lr: 1.0000e-03 eta: 19:11:29 time: 0.4235 data_time: 0.0032 loss: 0.8814 03/05 07:09:29 - mmengine - INFO - Epoch(train) [68][2600/5005] lr: 1.0000e-03 eta: 19:10:46 time: 0.4270 data_time: 0.0032 loss: 0.9420 03/05 07:09:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:10:11 - mmengine - INFO - Epoch(train) [68][2700/5005] lr: 1.0000e-03 eta: 19:10:04 time: 0.4298 data_time: 0.0032 loss: 0.8213 03/05 07:10:54 - mmengine - INFO - Epoch(train) [68][2800/5005] lr: 1.0000e-03 eta: 19:09:21 time: 0.4256 data_time: 0.0033 loss: 0.8424 03/05 07:11:36 - mmengine - INFO - Epoch(train) [68][2900/5005] lr: 1.0000e-03 eta: 19:08:39 time: 0.4216 data_time: 0.0031 loss: 0.6574 03/05 07:12:19 - mmengine - INFO - Epoch(train) [68][3000/5005] lr: 1.0000e-03 eta: 19:07:56 time: 0.4246 data_time: 0.0031 loss: 0.7582 03/05 07:13:01 - mmengine - INFO - Epoch(train) [68][3100/5005] lr: 1.0000e-03 eta: 19:07:14 time: 0.4219 data_time: 0.0033 loss: 0.9580 03/05 07:13:44 - mmengine - INFO - Epoch(train) [68][3200/5005] lr: 1.0000e-03 eta: 19:06:31 time: 0.4194 data_time: 0.0031 loss: 0.7523 03/05 07:14:27 - mmengine - INFO - Epoch(train) [68][3300/5005] lr: 1.0000e-03 eta: 19:05:49 time: 0.4312 data_time: 0.0031 loss: 0.7046 03/05 07:15:09 - mmengine - INFO - Epoch(train) [68][3400/5005] lr: 1.0000e-03 eta: 19:05:06 time: 0.4218 data_time: 0.0032 loss: 0.8179 03/05 07:15:51 - mmengine - INFO - Epoch(train) [68][3500/5005] lr: 1.0000e-03 eta: 19:04:24 time: 0.4232 data_time: 0.0030 loss: 0.7179 03/05 07:16:34 - mmengine - INFO - Epoch(train) [68][3600/5005] lr: 1.0000e-03 eta: 19:03:41 time: 0.4271 data_time: 0.0033 loss: 0.7098 03/05 07:17:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:17:17 - mmengine - INFO - Epoch(train) [68][3700/5005] lr: 1.0000e-03 eta: 19:02:59 time: 0.4245 data_time: 0.0032 loss: 0.7939 03/05 07:17:59 - mmengine - INFO - Epoch(train) [68][3800/5005] lr: 1.0000e-03 eta: 19:02:16 time: 0.4216 data_time: 0.0031 loss: 0.9696 03/05 07:18:42 - mmengine - INFO - Epoch(train) [68][3900/5005] lr: 1.0000e-03 eta: 19:01:34 time: 0.4277 data_time: 0.0030 loss: 0.9388 03/05 07:19:24 - mmengine - INFO - Epoch(train) [68][4000/5005] lr: 1.0000e-03 eta: 19:00:51 time: 0.4240 data_time: 0.0034 loss: 0.6451 03/05 07:20:07 - mmengine - INFO - Epoch(train) [68][4100/5005] lr: 1.0000e-03 eta: 19:00:09 time: 0.4192 data_time: 0.0033 loss: 0.9224 03/05 07:20:49 - mmengine - INFO - Epoch(train) [68][4200/5005] lr: 1.0000e-03 eta: 18:59:26 time: 0.4228 data_time: 0.0032 loss: 0.7848 03/05 07:21:32 - mmengine - INFO - Epoch(train) [68][4300/5005] lr: 1.0000e-03 eta: 18:58:44 time: 0.4271 data_time: 0.0031 loss: 0.6758 03/05 07:22:14 - mmengine - INFO - Epoch(train) [68][4400/5005] lr: 1.0000e-03 eta: 18:58:01 time: 0.4233 data_time: 0.0033 loss: 0.7177 03/05 07:22:57 - mmengine - INFO - Epoch(train) [68][4500/5005] lr: 1.0000e-03 eta: 18:57:19 time: 0.4221 data_time: 0.0032 loss: 0.6388 03/05 07:23:39 - mmengine - INFO - Epoch(train) [68][4600/5005] lr: 1.0000e-03 eta: 18:56:36 time: 0.4245 data_time: 0.0030 loss: 0.7675 03/05 07:24:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:24:22 - mmengine - INFO - Epoch(train) [68][4700/5005] lr: 1.0000e-03 eta: 18:55:54 time: 0.4236 data_time: 0.0034 loss: 0.7247 03/05 07:25:04 - mmengine - INFO - Epoch(train) [68][4800/5005] lr: 1.0000e-03 eta: 18:55:11 time: 0.4188 data_time: 0.0032 loss: 0.7119 03/05 07:25:47 - mmengine - INFO - Epoch(train) [68][4900/5005] lr: 1.0000e-03 eta: 18:54:29 time: 0.4222 data_time: 0.0031 loss: 0.8561 03/05 07:26:29 - mmengine - INFO - Epoch(train) [68][5000/5005] lr: 1.0000e-03 eta: 18:53:46 time: 0.4209 data_time: 0.0029 loss: 0.7352 03/05 07:26:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:26:32 - mmengine - INFO - Saving checkpoint at 68 epochs 03/05 07:26:44 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:00:08 time: 0.0277 data_time: 0.0005 03/05 07:26:58 - mmengine - INFO - Epoch(val) [68][196/196] accuracy/top1: 79.1520 accuracy/top5: 94.3920 03/05 07:27:44 - mmengine - INFO - Epoch(train) [69][ 100/5005] lr: 1.0000e-03 eta: 18:53:03 time: 0.4220 data_time: 0.0031 loss: 0.7853 03/05 07:28:27 - mmengine - INFO - Epoch(train) [69][ 200/5005] lr: 1.0000e-03 eta: 18:52:21 time: 0.4217 data_time: 0.0032 loss: 0.7939 03/05 07:29:10 - mmengine - INFO - Epoch(train) [69][ 300/5005] lr: 1.0000e-03 eta: 18:51:38 time: 0.4250 data_time: 0.0034 loss: 0.8608 03/05 07:29:52 - mmengine - INFO - Epoch(train) [69][ 400/5005] lr: 1.0000e-03 eta: 18:50:56 time: 0.4239 data_time: 0.0033 loss: 0.8984 03/05 07:30:35 - mmengine - INFO - Epoch(train) [69][ 500/5005] lr: 1.0000e-03 eta: 18:50:13 time: 0.4251 data_time: 0.0035 loss: 0.5721 03/05 07:31:17 - mmengine - INFO - Epoch(train) [69][ 600/5005] lr: 1.0000e-03 eta: 18:49:31 time: 0.4376 data_time: 0.0033 loss: 0.7526 03/05 07:31:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:32:00 - mmengine - INFO - Epoch(train) [69][ 700/5005] lr: 1.0000e-03 eta: 18:48:48 time: 0.4200 data_time: 0.0032 loss: 0.8703 03/05 07:32:42 - mmengine - INFO - Epoch(train) [69][ 800/5005] lr: 1.0000e-03 eta: 18:48:06 time: 0.4250 data_time: 0.0031 loss: 0.8186 03/05 07:33:25 - mmengine - INFO - Epoch(train) [69][ 900/5005] lr: 1.0000e-03 eta: 18:47:23 time: 0.4230 data_time: 0.0030 loss: 0.7625 03/05 07:34:08 - mmengine - INFO - Epoch(train) [69][1000/5005] lr: 1.0000e-03 eta: 18:46:41 time: 0.4313 data_time: 0.0030 loss: 0.8099 03/05 07:34:50 - mmengine - INFO - Epoch(train) [69][1100/5005] lr: 1.0000e-03 eta: 18:45:58 time: 0.4224 data_time: 0.0035 loss: 0.8777 03/05 07:35:33 - mmengine - INFO - Epoch(train) [69][1200/5005] lr: 1.0000e-03 eta: 18:45:16 time: 0.4242 data_time: 0.0035 loss: 0.8381 03/05 07:36:15 - mmengine - INFO - Epoch(train) [69][1300/5005] lr: 1.0000e-03 eta: 18:44:33 time: 0.4245 data_time: 0.0031 loss: 0.7531 03/05 07:36:58 - mmengine - INFO - Epoch(train) [69][1400/5005] lr: 1.0000e-03 eta: 18:43:51 time: 0.4250 data_time: 0.0032 loss: 0.6921 03/05 07:37:40 - mmengine - INFO - Epoch(train) [69][1500/5005] lr: 1.0000e-03 eta: 18:43:09 time: 0.4196 data_time: 0.0033 loss: 0.8569 03/05 07:38:23 - mmengine - INFO - Epoch(train) [69][1600/5005] lr: 1.0000e-03 eta: 18:42:26 time: 0.4283 data_time: 0.0031 loss: 0.8858 03/05 07:38:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:39:06 - mmengine - INFO - Epoch(train) [69][1700/5005] lr: 1.0000e-03 eta: 18:41:44 time: 0.4234 data_time: 0.0031 loss: 0.7850 03/05 07:39:48 - mmengine - INFO - Epoch(train) [69][1800/5005] lr: 1.0000e-03 eta: 18:41:01 time: 0.4305 data_time: 0.0032 loss: 0.7804 03/05 07:40:31 - mmengine - INFO - Epoch(train) [69][1900/5005] lr: 1.0000e-03 eta: 18:40:19 time: 0.4268 data_time: 0.0033 loss: 0.7664 03/05 07:41:14 - mmengine - INFO - Epoch(train) [69][2000/5005] lr: 1.0000e-03 eta: 18:39:36 time: 0.4271 data_time: 0.0031 loss: 0.7598 03/05 07:41:56 - mmengine - INFO - Epoch(train) [69][2100/5005] lr: 1.0000e-03 eta: 18:38:54 time: 0.4215 data_time: 0.0034 loss: 0.6331 03/05 07:42:38 - mmengine - INFO - Epoch(train) [69][2200/5005] lr: 1.0000e-03 eta: 18:38:11 time: 0.4253 data_time: 0.0030 loss: 0.7115 03/05 07:43:21 - mmengine - INFO - Epoch(train) [69][2300/5005] lr: 1.0000e-03 eta: 18:37:29 time: 0.4229 data_time: 0.0031 loss: 0.7624 03/05 07:44:03 - mmengine - INFO - Epoch(train) [69][2400/5005] lr: 1.0000e-03 eta: 18:36:46 time: 0.4304 data_time: 0.0032 loss: 0.8278 03/05 07:44:46 - mmengine - INFO - Epoch(train) [69][2500/5005] lr: 1.0000e-03 eta: 18:36:04 time: 0.4173 data_time: 0.0031 loss: 0.7562 03/05 07:45:28 - mmengine - INFO - Epoch(train) [69][2600/5005] lr: 1.0000e-03 eta: 18:35:21 time: 0.4253 data_time: 0.0031 loss: 0.7742 03/05 07:45:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:46:11 - mmengine - INFO - Epoch(train) [69][2700/5005] lr: 1.0000e-03 eta: 18:34:39 time: 0.4276 data_time: 0.0032 loss: 0.7935 03/05 07:46:54 - mmengine - INFO - Epoch(train) [69][2800/5005] lr: 1.0000e-03 eta: 18:33:56 time: 0.4216 data_time: 0.0031 loss: 0.7274 03/05 07:47:36 - mmengine - INFO - Epoch(train) [69][2900/5005] lr: 1.0000e-03 eta: 18:33:14 time: 0.4248 data_time: 0.0031 loss: 0.8284 03/05 07:48:19 - mmengine - INFO - Epoch(train) [69][3000/5005] lr: 1.0000e-03 eta: 18:32:31 time: 0.4239 data_time: 0.0032 loss: 0.8412 03/05 07:49:01 - mmengine - INFO - Epoch(train) [69][3100/5005] lr: 1.0000e-03 eta: 18:31:49 time: 0.4169 data_time: 0.0033 loss: 0.7667 03/05 07:49:44 - mmengine - INFO - Epoch(train) [69][3200/5005] lr: 1.0000e-03 eta: 18:31:06 time: 0.4252 data_time: 0.0031 loss: 0.7207 03/05 07:50:27 - mmengine - INFO - Epoch(train) [69][3300/5005] lr: 1.0000e-03 eta: 18:30:24 time: 0.4251 data_time: 0.0033 loss: 0.7346 03/05 07:51:09 - mmengine - INFO - Epoch(train) [69][3400/5005] lr: 1.0000e-03 eta: 18:29:41 time: 0.4260 data_time: 0.0032 loss: 0.8006 03/05 07:51:52 - mmengine - INFO - Epoch(train) [69][3500/5005] lr: 1.0000e-03 eta: 18:28:59 time: 0.4223 data_time: 0.0033 loss: 0.7009 03/05 07:52:34 - mmengine - INFO - Epoch(train) [69][3600/5005] lr: 1.0000e-03 eta: 18:28:16 time: 0.4226 data_time: 0.0032 loss: 0.6931 03/05 07:53:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 07:53:17 - mmengine - INFO - Epoch(train) [69][3700/5005] lr: 1.0000e-03 eta: 18:27:34 time: 0.4225 data_time: 0.0034 loss: 0.7130 03/05 07:53:59 - mmengine - INFO - Epoch(train) [69][3800/5005] lr: 1.0000e-03 eta: 18:26:51 time: 0.4266 data_time: 0.0032 loss: 0.8005 03/05 07:54:42 - mmengine - INFO - Epoch(train) [69][3900/5005] lr: 1.0000e-03 eta: 18:26:09 time: 0.4294 data_time: 0.0031 loss: 0.5949 03/05 07:55:25 - mmengine - INFO - Epoch(train) [69][4000/5005] lr: 1.0000e-03 eta: 18:25:26 time: 0.4347 data_time: 0.0032 loss: 0.9306 03/05 07:56:07 - mmengine - INFO - Epoch(train) [69][4100/5005] lr: 1.0000e-03 eta: 18:24:44 time: 0.4204 data_time: 0.0031 loss: 0.9028 03/05 07:56:50 - mmengine - INFO - Epoch(train) [69][4200/5005] lr: 1.0000e-03 eta: 18:24:01 time: 0.4265 data_time: 0.0030 loss: 0.8141 03/05 07:57:32 - mmengine - INFO - Epoch(train) [69][4300/5005] lr: 1.0000e-03 eta: 18:23:19 time: 0.4294 data_time: 0.0030 loss: 0.7967 03/05 07:58:15 - mmengine - INFO - Epoch(train) [69][4400/5005] lr: 1.0000e-03 eta: 18:22:36 time: 0.4270 data_time: 0.0031 loss: 0.8404 03/05 07:58:57 - mmengine - INFO - Epoch(train) [69][4500/5005] lr: 1.0000e-03 eta: 18:21:54 time: 0.4238 data_time: 0.0031 loss: 0.8284 03/05 07:59:40 - mmengine - INFO - Epoch(train) [69][4600/5005] lr: 1.0000e-03 eta: 18:21:11 time: 0.4224 data_time: 0.0032 loss: 0.8500 03/05 08:00:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:00:22 - mmengine - INFO - Epoch(train) [69][4700/5005] lr: 1.0000e-03 eta: 18:20:29 time: 0.4223 data_time: 0.0032 loss: 0.6876 03/05 08:01:05 - mmengine - INFO - Epoch(train) [69][4800/5005] lr: 1.0000e-03 eta: 18:19:47 time: 0.4257 data_time: 0.0033 loss: 0.8704 03/05 08:01:48 - mmengine - INFO - Epoch(train) [69][4900/5005] lr: 1.0000e-03 eta: 18:19:04 time: 0.4218 data_time: 0.0030 loss: 0.8743 03/05 08:02:30 - mmengine - INFO - Epoch(train) [69][5000/5005] lr: 1.0000e-03 eta: 18:18:22 time: 0.4208 data_time: 0.0029 loss: 0.8973 03/05 08:02:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:02:33 - mmengine - INFO - Saving checkpoint at 69 epochs 03/05 08:02:45 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:00:08 time: 0.0280 data_time: 0.0005 03/05 08:02:59 - mmengine - INFO - Epoch(val) [69][196/196] accuracy/top1: 79.2200 accuracy/top5: 94.4460 03/05 08:03:45 - mmengine - INFO - Epoch(train) [70][ 100/5005] lr: 1.0000e-03 eta: 18:17:39 time: 0.4324 data_time: 0.0035 loss: 0.8141 03/05 08:04:28 - mmengine - INFO - Epoch(train) [70][ 200/5005] lr: 1.0000e-03 eta: 18:16:56 time: 0.4237 data_time: 0.0031 loss: 0.7293 03/05 08:05:11 - mmengine - INFO - Epoch(train) [70][ 300/5005] lr: 1.0000e-03 eta: 18:16:14 time: 0.4225 data_time: 0.0034 loss: 0.8567 03/05 08:05:53 - mmengine - INFO - Epoch(train) [70][ 400/5005] lr: 1.0000e-03 eta: 18:15:31 time: 0.4195 data_time: 0.0034 loss: 0.7567 03/05 08:06:36 - mmengine - INFO - Epoch(train) [70][ 500/5005] lr: 1.0000e-03 eta: 18:14:49 time: 0.4192 data_time: 0.0032 loss: 0.7733 03/05 08:07:18 - mmengine - INFO - Epoch(train) [70][ 600/5005] lr: 1.0000e-03 eta: 18:14:06 time: 0.4223 data_time: 0.0032 loss: 0.7723 03/05 08:07:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:08:01 - mmengine - INFO - Epoch(train) [70][ 700/5005] lr: 1.0000e-03 eta: 18:13:24 time: 0.4258 data_time: 0.0033 loss: 0.7984 03/05 08:08:44 - mmengine - INFO - Epoch(train) [70][ 800/5005] lr: 1.0000e-03 eta: 18:12:42 time: 0.4213 data_time: 0.0031 loss: 0.6068 03/05 08:09:26 - mmengine - INFO - Epoch(train) [70][ 900/5005] lr: 1.0000e-03 eta: 18:11:59 time: 0.4237 data_time: 0.0031 loss: 0.6395 03/05 08:10:09 - mmengine - INFO - Epoch(train) [70][1000/5005] lr: 1.0000e-03 eta: 18:11:17 time: 0.4220 data_time: 0.0032 loss: 0.7024 03/05 08:10:51 - mmengine - INFO - Epoch(train) [70][1100/5005] lr: 1.0000e-03 eta: 18:10:34 time: 0.4244 data_time: 0.0030 loss: 0.9816 03/05 08:11:34 - mmengine - INFO - Epoch(train) [70][1200/5005] lr: 1.0000e-03 eta: 18:09:52 time: 0.4288 data_time: 0.0033 loss: 0.5827 03/05 08:12:17 - mmengine - INFO - Epoch(train) [70][1300/5005] lr: 1.0000e-03 eta: 18:09:09 time: 0.4330 data_time: 0.0032 loss: 0.7237 03/05 08:13:00 - mmengine - INFO - Epoch(train) [70][1400/5005] lr: 1.0000e-03 eta: 18:08:27 time: 0.4233 data_time: 0.0031 loss: 0.6745 03/05 08:13:42 - mmengine - INFO - Epoch(train) [70][1500/5005] lr: 1.0000e-03 eta: 18:07:44 time: 0.4242 data_time: 0.0031 loss: 0.7769 03/05 08:14:25 - mmengine - INFO - Epoch(train) [70][1600/5005] lr: 1.0000e-03 eta: 18:07:02 time: 0.4304 data_time: 0.0035 loss: 0.7881 03/05 08:14:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:15:07 - mmengine - INFO - Epoch(train) [70][1700/5005] lr: 1.0000e-03 eta: 18:06:19 time: 0.4262 data_time: 0.0034 loss: 0.8276 03/05 08:15:50 - mmengine - INFO - Epoch(train) [70][1800/5005] lr: 1.0000e-03 eta: 18:05:37 time: 0.4252 data_time: 0.0033 loss: 0.9670 03/05 08:16:32 - mmengine - INFO - Epoch(train) [70][1900/5005] lr: 1.0000e-03 eta: 18:04:54 time: 0.4232 data_time: 0.0033 loss: 0.8578 03/05 08:17:15 - mmengine - INFO - Epoch(train) [70][2000/5005] lr: 1.0000e-03 eta: 18:04:12 time: 0.4305 data_time: 0.0032 loss: 1.0175 03/05 08:17:58 - mmengine - INFO - Epoch(train) [70][2100/5005] lr: 1.0000e-03 eta: 18:03:29 time: 0.4276 data_time: 0.0034 loss: 0.7968 03/05 08:18:40 - mmengine - INFO - Epoch(train) [70][2200/5005] lr: 1.0000e-03 eta: 18:02:47 time: 0.4282 data_time: 0.0032 loss: 0.7258 03/05 08:19:23 - mmengine - INFO - Epoch(train) [70][2300/5005] lr: 1.0000e-03 eta: 18:02:05 time: 0.4210 data_time: 0.0033 loss: 0.7784 03/05 08:20:06 - mmengine - INFO - Epoch(train) [70][2400/5005] lr: 1.0000e-03 eta: 18:01:22 time: 0.4243 data_time: 0.0032 loss: 0.9309 03/05 08:20:48 - mmengine - INFO - Epoch(train) [70][2500/5005] lr: 1.0000e-03 eta: 18:00:40 time: 0.4262 data_time: 0.0032 loss: 0.7805 03/05 08:21:31 - mmengine - INFO - Epoch(train) [70][2600/5005] lr: 1.0000e-03 eta: 17:59:57 time: 0.4295 data_time: 0.0030 loss: 0.7152 03/05 08:21:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:22:14 - mmengine - INFO - Epoch(train) [70][2700/5005] lr: 1.0000e-03 eta: 17:59:15 time: 0.4248 data_time: 0.0032 loss: 0.9218 03/05 08:22:56 - mmengine - INFO - Epoch(train) [70][2800/5005] lr: 1.0000e-03 eta: 17:58:32 time: 0.4268 data_time: 0.0032 loss: 0.9309 03/05 08:23:39 - mmengine - INFO - Epoch(train) [70][2900/5005] lr: 1.0000e-03 eta: 17:57:50 time: 0.4205 data_time: 0.0034 loss: 0.7043 03/05 08:24:21 - mmengine - INFO - Epoch(train) [70][3000/5005] lr: 1.0000e-03 eta: 17:57:07 time: 0.4259 data_time: 0.0033 loss: 0.9123 03/05 08:25:04 - mmengine - INFO - Epoch(train) [70][3100/5005] lr: 1.0000e-03 eta: 17:56:25 time: 0.4190 data_time: 0.0031 loss: 0.8136 03/05 08:25:46 - mmengine - INFO - Epoch(train) [70][3200/5005] lr: 1.0000e-03 eta: 17:55:42 time: 0.4230 data_time: 0.0030 loss: 0.8730 03/05 08:26:29 - mmengine - INFO - Epoch(train) [70][3300/5005] lr: 1.0000e-03 eta: 17:55:00 time: 0.4207 data_time: 0.0033 loss: 0.7640 03/05 08:27:11 - mmengine - INFO - Epoch(train) [70][3400/5005] lr: 1.0000e-03 eta: 17:54:17 time: 0.4224 data_time: 0.0031 loss: 0.8037 03/05 08:27:54 - mmengine - INFO - Epoch(train) [70][3500/5005] lr: 1.0000e-03 eta: 17:53:35 time: 0.4239 data_time: 0.0037 loss: 0.6917 03/05 08:28:36 - mmengine - INFO - Epoch(train) [70][3600/5005] lr: 1.0000e-03 eta: 17:52:52 time: 0.4234 data_time: 0.0032 loss: 0.9243 03/05 08:29:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:29:19 - mmengine - INFO - Epoch(train) [70][3700/5005] lr: 1.0000e-03 eta: 17:52:10 time: 0.4306 data_time: 0.0033 loss: 0.8053 03/05 08:30:02 - mmengine - INFO - Epoch(train) [70][3800/5005] lr: 1.0000e-03 eta: 17:51:27 time: 0.4254 data_time: 0.0031 loss: 0.7838 03/05 08:30:44 - mmengine - INFO - Epoch(train) [70][3900/5005] lr: 1.0000e-03 eta: 17:50:45 time: 0.4208 data_time: 0.0035 loss: 0.7449 03/05 08:31:27 - mmengine - INFO - Epoch(train) [70][4000/5005] lr: 1.0000e-03 eta: 17:50:02 time: 0.4214 data_time: 0.0033 loss: 0.7433 03/05 08:32:09 - mmengine - INFO - Epoch(train) [70][4100/5005] lr: 1.0000e-03 eta: 17:49:20 time: 0.4229 data_time: 0.0031 loss: 0.6510 03/05 08:32:52 - mmengine - INFO - Epoch(train) [70][4200/5005] lr: 1.0000e-03 eta: 17:48:37 time: 0.4223 data_time: 0.0031 loss: 0.8072 03/05 08:33:34 - mmengine - INFO - Epoch(train) [70][4300/5005] lr: 1.0000e-03 eta: 17:47:55 time: 0.4266 data_time: 0.0032 loss: 0.9246 03/05 08:34:17 - mmengine - INFO - Epoch(train) [70][4400/5005] lr: 1.0000e-03 eta: 17:47:12 time: 0.4263 data_time: 0.0032 loss: 0.8076 03/05 08:34:59 - mmengine - INFO - Epoch(train) [70][4500/5005] lr: 1.0000e-03 eta: 17:46:30 time: 0.4193 data_time: 0.0032 loss: 0.9213 03/05 08:35:42 - mmengine - INFO - Epoch(train) [70][4600/5005] lr: 1.0000e-03 eta: 17:45:47 time: 0.4286 data_time: 0.0033 loss: 0.7474 03/05 08:36:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:36:25 - mmengine - INFO - Epoch(train) [70][4700/5005] lr: 1.0000e-03 eta: 17:45:05 time: 0.4273 data_time: 0.0032 loss: 0.7586 03/05 08:37:07 - mmengine - INFO - Epoch(train) [70][4800/5005] lr: 1.0000e-03 eta: 17:44:23 time: 0.4235 data_time: 0.0032 loss: 0.7705 03/05 08:37:50 - mmengine - INFO - Epoch(train) [70][4900/5005] lr: 1.0000e-03 eta: 17:43:40 time: 0.4329 data_time: 0.0032 loss: 0.8253 03/05 08:38:33 - mmengine - INFO - Epoch(train) [70][5000/5005] lr: 1.0000e-03 eta: 17:42:58 time: 0.4247 data_time: 0.0030 loss: 0.7049 03/05 08:38:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:38:36 - mmengine - INFO - Saving checkpoint at 70 epochs 03/05 08:38:48 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:00:08 time: 0.0279 data_time: 0.0005 03/05 08:39:02 - mmengine - INFO - Epoch(val) [70][196/196] accuracy/top1: 79.1280 accuracy/top5: 94.4420 03/05 08:39:48 - mmengine - INFO - Epoch(train) [71][ 100/5005] lr: 1.0000e-03 eta: 17:42:15 time: 0.4286 data_time: 0.0039 loss: 0.9416 03/05 08:40:31 - mmengine - INFO - Epoch(train) [71][ 200/5005] lr: 1.0000e-03 eta: 17:41:32 time: 0.4255 data_time: 0.0032 loss: 0.8767 03/05 08:41:13 - mmengine - INFO - Epoch(train) [71][ 300/5005] lr: 1.0000e-03 eta: 17:40:50 time: 0.4236 data_time: 0.0031 loss: 0.6600 03/05 08:41:56 - mmengine - INFO - Epoch(train) [71][ 400/5005] lr: 1.0000e-03 eta: 17:40:07 time: 0.4248 data_time: 0.0032 loss: 0.8944 03/05 08:42:39 - mmengine - INFO - Epoch(train) [71][ 500/5005] lr: 1.0000e-03 eta: 17:39:25 time: 0.4222 data_time: 0.0032 loss: 0.6631 03/05 08:43:21 - mmengine - INFO - Epoch(train) [71][ 600/5005] lr: 1.0000e-03 eta: 17:38:42 time: 0.4229 data_time: 0.0033 loss: 0.8040 03/05 08:43:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:44:04 - mmengine - INFO - Epoch(train) [71][ 700/5005] lr: 1.0000e-03 eta: 17:38:00 time: 0.4264 data_time: 0.0031 loss: 0.6583 03/05 08:44:47 - mmengine - INFO - Epoch(train) [71][ 800/5005] lr: 1.0000e-03 eta: 17:37:17 time: 0.4257 data_time: 0.0035 loss: 0.7353 03/05 08:45:29 - mmengine - INFO - Epoch(train) [71][ 900/5005] lr: 1.0000e-03 eta: 17:36:35 time: 0.4281 data_time: 0.0034 loss: 0.7030 03/05 08:46:12 - mmengine - INFO - Epoch(train) [71][1000/5005] lr: 1.0000e-03 eta: 17:35:52 time: 0.4243 data_time: 0.0030 loss: 0.6850 03/05 08:46:54 - mmengine - INFO - Epoch(train) [71][1100/5005] lr: 1.0000e-03 eta: 17:35:10 time: 0.4213 data_time: 0.0033 loss: 0.7948 03/05 08:47:37 - mmengine - INFO - Epoch(train) [71][1200/5005] lr: 1.0000e-03 eta: 17:34:28 time: 0.4233 data_time: 0.0032 loss: 0.6846 03/05 08:48:20 - mmengine - INFO - Epoch(train) [71][1300/5005] lr: 1.0000e-03 eta: 17:33:45 time: 0.4343 data_time: 0.0032 loss: 0.7834 03/05 08:49:03 - mmengine - INFO - Epoch(train) [71][1400/5005] lr: 1.0000e-03 eta: 17:33:03 time: 0.4247 data_time: 0.0033 loss: 0.8190 03/05 08:49:45 - mmengine - INFO - Epoch(train) [71][1500/5005] lr: 1.0000e-03 eta: 17:32:20 time: 0.4179 data_time: 0.0031 loss: 0.8017 03/05 08:50:28 - mmengine - INFO - Epoch(train) [71][1600/5005] lr: 1.0000e-03 eta: 17:31:38 time: 0.4275 data_time: 0.0033 loss: 0.6758 03/05 08:50:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:51:11 - mmengine - INFO - Epoch(train) [71][1700/5005] lr: 1.0000e-03 eta: 17:30:56 time: 0.4273 data_time: 0.0037 loss: 0.8200 03/05 08:51:54 - mmengine - INFO - Epoch(train) [71][1800/5005] lr: 1.0000e-03 eta: 17:30:13 time: 0.4260 data_time: 0.0032 loss: 0.8711 03/05 08:52:36 - mmengine - INFO - Epoch(train) [71][1900/5005] lr: 1.0000e-03 eta: 17:29:31 time: 0.4203 data_time: 0.0033 loss: 0.7395 03/05 08:53:19 - mmengine - INFO - Epoch(train) [71][2000/5005] lr: 1.0000e-03 eta: 17:28:48 time: 0.4231 data_time: 0.0031 loss: 0.7506 03/05 08:54:01 - mmengine - INFO - Epoch(train) [71][2100/5005] lr: 1.0000e-03 eta: 17:28:06 time: 0.4295 data_time: 0.0033 loss: 0.7421 03/05 08:54:44 - mmengine - INFO - Epoch(train) [71][2200/5005] lr: 1.0000e-03 eta: 17:27:23 time: 0.4215 data_time: 0.0032 loss: 0.8106 03/05 08:55:26 - mmengine - INFO - Epoch(train) [71][2300/5005] lr: 1.0000e-03 eta: 17:26:41 time: 0.4265 data_time: 0.0033 loss: 0.8392 03/05 08:56:09 - mmengine - INFO - Epoch(train) [71][2400/5005] lr: 1.0000e-03 eta: 17:25:58 time: 0.4229 data_time: 0.0031 loss: 0.7117 03/05 08:56:52 - mmengine - INFO - Epoch(train) [71][2500/5005] lr: 1.0000e-03 eta: 17:25:16 time: 0.4178 data_time: 0.0032 loss: 0.6878 03/05 08:57:34 - mmengine - INFO - Epoch(train) [71][2600/5005] lr: 1.0000e-03 eta: 17:24:33 time: 0.4300 data_time: 0.0031 loss: 0.7941 03/05 08:57:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 08:58:17 - mmengine - INFO - Epoch(train) [71][2700/5005] lr: 1.0000e-03 eta: 17:23:51 time: 0.4221 data_time: 0.0032 loss: 0.7336 03/05 08:58:59 - mmengine - INFO - Epoch(train) [71][2800/5005] lr: 1.0000e-03 eta: 17:23:08 time: 0.4257 data_time: 0.0031 loss: 0.8119 03/05 08:59:42 - mmengine - INFO - Epoch(train) [71][2900/5005] lr: 1.0000e-03 eta: 17:22:26 time: 0.4291 data_time: 0.0031 loss: 0.7838 03/05 09:00:25 - mmengine - INFO - Epoch(train) [71][3000/5005] lr: 1.0000e-03 eta: 17:21:43 time: 0.4298 data_time: 0.0032 loss: 0.8276 03/05 09:01:07 - mmengine - INFO - Epoch(train) [71][3100/5005] lr: 1.0000e-03 eta: 17:21:01 time: 0.4262 data_time: 0.0031 loss: 0.9027 03/05 09:01:50 - mmengine - INFO - Epoch(train) [71][3200/5005] lr: 1.0000e-03 eta: 17:20:18 time: 0.4241 data_time: 0.0032 loss: 0.6813 03/05 09:02:32 - mmengine - INFO - Epoch(train) [71][3300/5005] lr: 1.0000e-03 eta: 17:19:36 time: 0.4236 data_time: 0.0032 loss: 0.7267 03/05 09:03:15 - mmengine - INFO - Epoch(train) [71][3400/5005] lr: 1.0000e-03 eta: 17:18:53 time: 0.4219 data_time: 0.0034 loss: 0.7120 03/05 09:03:57 - mmengine - INFO - Epoch(train) [71][3500/5005] lr: 1.0000e-03 eta: 17:18:11 time: 0.4241 data_time: 0.0034 loss: 0.7852 03/05 09:04:40 - mmengine - INFO - Epoch(train) [71][3600/5005] lr: 1.0000e-03 eta: 17:17:28 time: 0.4209 data_time: 0.0033 loss: 0.8421 03/05 09:05:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:05:22 - mmengine - INFO - Epoch(train) [71][3700/5005] lr: 1.0000e-03 eta: 17:16:46 time: 0.4254 data_time: 0.0031 loss: 0.5841 03/05 09:06:05 - mmengine - INFO - Epoch(train) [71][3800/5005] lr: 1.0000e-03 eta: 17:16:03 time: 0.4236 data_time: 0.0031 loss: 0.7251 03/05 09:06:47 - mmengine - INFO - Epoch(train) [71][3900/5005] lr: 1.0000e-03 eta: 17:15:21 time: 0.4219 data_time: 0.0031 loss: 0.6687 03/05 09:07:30 - mmengine - INFO - Epoch(train) [71][4000/5005] lr: 1.0000e-03 eta: 17:14:38 time: 0.4218 data_time: 0.0033 loss: 0.9223 03/05 09:08:12 - mmengine - INFO - Epoch(train) [71][4100/5005] lr: 1.0000e-03 eta: 17:13:56 time: 0.4293 data_time: 0.0030 loss: 0.6068 03/05 09:08:55 - mmengine - INFO - Epoch(train) [71][4200/5005] lr: 1.0000e-03 eta: 17:13:13 time: 0.4297 data_time: 0.0031 loss: 0.7565 03/05 09:09:38 - mmengine - INFO - Epoch(train) [71][4300/5005] lr: 1.0000e-03 eta: 17:12:31 time: 0.4202 data_time: 0.0031 loss: 0.7717 03/05 09:10:20 - mmengine - INFO - Epoch(train) [71][4400/5005] lr: 1.0000e-03 eta: 17:11:48 time: 0.4259 data_time: 0.0031 loss: 0.8905 03/05 09:11:03 - mmengine - INFO - Epoch(train) [71][4500/5005] lr: 1.0000e-03 eta: 17:11:06 time: 0.4270 data_time: 0.0031 loss: 0.7040 03/05 09:11:45 - mmengine - INFO - Epoch(train) [71][4600/5005] lr: 1.0000e-03 eta: 17:10:23 time: 0.4243 data_time: 0.0033 loss: 0.6624 03/05 09:12:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:12:28 - mmengine - INFO - Epoch(train) [71][4700/5005] lr: 1.0000e-03 eta: 17:09:41 time: 0.4197 data_time: 0.0031 loss: 0.9250 03/05 09:13:10 - mmengine - INFO - Epoch(train) [71][4800/5005] lr: 1.0000e-03 eta: 17:08:58 time: 0.4228 data_time: 0.0032 loss: 0.7368 03/05 09:13:53 - mmengine - INFO - Epoch(train) [71][4900/5005] lr: 1.0000e-03 eta: 17:08:16 time: 0.4238 data_time: 0.0032 loss: 0.7331 03/05 09:14:36 - mmengine - INFO - Epoch(train) [71][5000/5005] lr: 1.0000e-03 eta: 17:07:34 time: 0.4193 data_time: 0.0031 loss: 0.7945 03/05 09:14:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:14:39 - mmengine - INFO - Saving checkpoint at 71 epochs 03/05 09:14:51 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:00:08 time: 0.0280 data_time: 0.0005 03/05 09:15:05 - mmengine - INFO - Epoch(val) [71][196/196] accuracy/top1: 79.1440 accuracy/top5: 94.4840 03/05 09:15:51 - mmengine - INFO - Epoch(train) [72][ 100/5005] lr: 1.0000e-03 eta: 17:06:50 time: 0.4247 data_time: 0.0034 loss: 0.7911 03/05 09:16:34 - mmengine - INFO - Epoch(train) [72][ 200/5005] lr: 1.0000e-03 eta: 17:06:08 time: 0.4241 data_time: 0.0033 loss: 0.8179 03/05 09:17:16 - mmengine - INFO - Epoch(train) [72][ 300/5005] lr: 1.0000e-03 eta: 17:05:25 time: 0.4284 data_time: 0.0031 loss: 0.9304 03/05 09:17:59 - mmengine - INFO - Epoch(train) [72][ 400/5005] lr: 1.0000e-03 eta: 17:04:43 time: 0.4302 data_time: 0.0033 loss: 0.7217 03/05 09:18:42 - mmengine - INFO - Epoch(train) [72][ 500/5005] lr: 1.0000e-03 eta: 17:04:01 time: 0.4212 data_time: 0.0033 loss: 0.6549 03/05 09:19:24 - mmengine - INFO - Epoch(train) [72][ 600/5005] lr: 1.0000e-03 eta: 17:03:18 time: 0.4242 data_time: 0.0031 loss: 0.8035 03/05 09:19:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:20:07 - mmengine - INFO - Epoch(train) [72][ 700/5005] lr: 1.0000e-03 eta: 17:02:36 time: 0.4238 data_time: 0.0033 loss: 0.8176 03/05 09:20:49 - mmengine - INFO - Epoch(train) [72][ 800/5005] lr: 1.0000e-03 eta: 17:01:53 time: 0.4306 data_time: 0.0032 loss: 0.7861 03/05 09:21:32 - mmengine - INFO - Epoch(train) [72][ 900/5005] lr: 1.0000e-03 eta: 17:01:11 time: 0.4238 data_time: 0.0031 loss: 0.8811 03/05 09:22:14 - mmengine - INFO - Epoch(train) [72][1000/5005] lr: 1.0000e-03 eta: 17:00:28 time: 0.4268 data_time: 0.0033 loss: 0.7045 03/05 09:22:57 - mmengine - INFO - Epoch(train) [72][1100/5005] lr: 1.0000e-03 eta: 16:59:46 time: 0.4273 data_time: 0.0031 loss: 0.7939 03/05 09:23:39 - mmengine - INFO - Epoch(train) [72][1200/5005] lr: 1.0000e-03 eta: 16:59:03 time: 0.4195 data_time: 0.0035 loss: 0.9500 03/05 09:24:22 - mmengine - INFO - Epoch(train) [72][1300/5005] lr: 1.0000e-03 eta: 16:58:20 time: 0.4265 data_time: 0.0031 loss: 0.8824 03/05 09:25:04 - mmengine - INFO - Epoch(train) [72][1400/5005] lr: 1.0000e-03 eta: 16:57:38 time: 0.4227 data_time: 0.0030 loss: 0.7443 03/05 09:25:47 - mmengine - INFO - Epoch(train) [72][1500/5005] lr: 1.0000e-03 eta: 16:56:55 time: 0.4229 data_time: 0.0031 loss: 0.7955 03/05 09:26:29 - mmengine - INFO - Epoch(train) [72][1600/5005] lr: 1.0000e-03 eta: 16:56:13 time: 0.4259 data_time: 0.0032 loss: 0.7561 03/05 09:26:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:27:12 - mmengine - INFO - Epoch(train) [72][1700/5005] lr: 1.0000e-03 eta: 16:55:30 time: 0.4316 data_time: 0.0032 loss: 0.6869 03/05 09:27:54 - mmengine - INFO - Epoch(train) [72][1800/5005] lr: 1.0000e-03 eta: 16:54:48 time: 0.4270 data_time: 0.0032 loss: 0.8778 03/05 09:28:37 - mmengine - INFO - Epoch(train) [72][1900/5005] lr: 1.0000e-03 eta: 16:54:05 time: 0.4222 data_time: 0.0034 loss: 0.7756 03/05 09:29:19 - mmengine - INFO - Epoch(train) [72][2000/5005] lr: 1.0000e-03 eta: 16:53:23 time: 0.4207 data_time: 0.0031 loss: 0.9391 03/05 09:30:02 - mmengine - INFO - Epoch(train) [72][2100/5005] lr: 1.0000e-03 eta: 16:52:40 time: 0.4222 data_time: 0.0031 loss: 0.7722 03/05 09:30:44 - mmengine - INFO - Epoch(train) [72][2200/5005] lr: 1.0000e-03 eta: 16:51:58 time: 0.4253 data_time: 0.0033 loss: 0.7560 03/05 09:31:27 - mmengine - INFO - Epoch(train) [72][2300/5005] lr: 1.0000e-03 eta: 16:51:15 time: 0.4251 data_time: 0.0033 loss: 0.9150 03/05 09:32:09 - mmengine - INFO - Epoch(train) [72][2400/5005] lr: 1.0000e-03 eta: 16:50:33 time: 0.4251 data_time: 0.0031 loss: 0.8230 03/05 09:32:52 - mmengine - INFO - Epoch(train) [72][2500/5005] lr: 1.0000e-03 eta: 16:49:50 time: 0.4334 data_time: 0.0031 loss: 0.8038 03/05 09:33:34 - mmengine - INFO - Epoch(train) [72][2600/5005] lr: 1.0000e-03 eta: 16:49:08 time: 0.4320 data_time: 0.0031 loss: 0.7543 03/05 09:33:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:34:17 - mmengine - INFO - Epoch(train) [72][2700/5005] lr: 1.0000e-03 eta: 16:48:25 time: 0.4213 data_time: 0.0033 loss: 0.7498 03/05 09:35:00 - mmengine - INFO - Epoch(train) [72][2800/5005] lr: 1.0000e-03 eta: 16:47:43 time: 0.4206 data_time: 0.0032 loss: 0.8789 03/05 09:35:42 - mmengine - INFO - Epoch(train) [72][2900/5005] lr: 1.0000e-03 eta: 16:47:00 time: 0.4186 data_time: 0.0030 loss: 0.6810 03/05 09:36:25 - mmengine - INFO - Epoch(train) [72][3000/5005] lr: 1.0000e-03 eta: 16:46:18 time: 0.4234 data_time: 0.0033 loss: 0.7880 03/05 09:37:07 - mmengine - INFO - Epoch(train) [72][3100/5005] lr: 1.0000e-03 eta: 16:45:35 time: 0.4257 data_time: 0.0034 loss: 0.9081 03/05 09:37:50 - mmengine - INFO - Epoch(train) [72][3200/5005] lr: 1.0000e-03 eta: 16:44:53 time: 0.4221 data_time: 0.0032 loss: 0.8324 03/05 09:38:33 - mmengine - INFO - Epoch(train) [72][3300/5005] lr: 1.0000e-03 eta: 16:44:10 time: 0.4225 data_time: 0.0033 loss: 0.7063 03/05 09:39:15 - mmengine - INFO - Epoch(train) [72][3400/5005] lr: 1.0000e-03 eta: 16:43:28 time: 0.4186 data_time: 0.0031 loss: 0.7894 03/05 09:39:58 - mmengine - INFO - Epoch(train) [72][3500/5005] lr: 1.0000e-03 eta: 16:42:46 time: 0.4229 data_time: 0.0032 loss: 0.7768 03/05 09:40:40 - mmengine - INFO - Epoch(train) [72][3600/5005] lr: 1.0000e-03 eta: 16:42:03 time: 0.4209 data_time: 0.0032 loss: 0.7932 03/05 09:41:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:41:23 - mmengine - INFO - Epoch(train) [72][3700/5005] lr: 1.0000e-03 eta: 16:41:21 time: 0.4256 data_time: 0.0033 loss: 0.7392 03/05 09:42:06 - mmengine - INFO - Epoch(train) [72][3800/5005] lr: 1.0000e-03 eta: 16:40:38 time: 0.4250 data_time: 0.0031 loss: 0.7907 03/05 09:42:48 - mmengine - INFO - Epoch(train) [72][3900/5005] lr: 1.0000e-03 eta: 16:39:56 time: 0.4290 data_time: 0.0033 loss: 0.6820 03/05 09:43:31 - mmengine - INFO - Epoch(train) [72][4000/5005] lr: 1.0000e-03 eta: 16:39:13 time: 0.4213 data_time: 0.0031 loss: 0.7281 03/05 09:44:14 - mmengine - INFO - Epoch(train) [72][4100/5005] lr: 1.0000e-03 eta: 16:38:31 time: 0.4285 data_time: 0.0037 loss: 0.6829 03/05 09:44:56 - mmengine - INFO - Epoch(train) [72][4200/5005] lr: 1.0000e-03 eta: 16:37:48 time: 0.4238 data_time: 0.0030 loss: 0.6876 03/05 09:45:39 - mmengine - INFO - Epoch(train) [72][4300/5005] lr: 1.0000e-03 eta: 16:37:06 time: 0.4244 data_time: 0.0034 loss: 0.7709 03/05 09:46:22 - mmengine - INFO - Epoch(train) [72][4400/5005] lr: 1.0000e-03 eta: 16:36:23 time: 0.4232 data_time: 0.0033 loss: 0.6362 03/05 09:47:04 - mmengine - INFO - Epoch(train) [72][4500/5005] lr: 1.0000e-03 eta: 16:35:41 time: 0.4255 data_time: 0.0033 loss: 0.8885 03/05 09:47:47 - mmengine - INFO - Epoch(train) [72][4600/5005] lr: 1.0000e-03 eta: 16:34:59 time: 0.4251 data_time: 0.0033 loss: 0.7681 03/05 09:48:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:48:29 - mmengine - INFO - Epoch(train) [72][4700/5005] lr: 1.0000e-03 eta: 16:34:16 time: 0.4239 data_time: 0.0033 loss: 0.7080 03/05 09:49:12 - mmengine - INFO - Epoch(train) [72][4800/5005] lr: 1.0000e-03 eta: 16:33:34 time: 0.4253 data_time: 0.0032 loss: 0.9786 03/05 09:49:55 - mmengine - INFO - Epoch(train) [72][4900/5005] lr: 1.0000e-03 eta: 16:32:51 time: 0.4230 data_time: 0.0032 loss: 0.7809 03/05 09:50:38 - mmengine - INFO - Epoch(train) [72][5000/5005] lr: 1.0000e-03 eta: 16:32:09 time: 0.4193 data_time: 0.0029 loss: 0.9250 03/05 09:50:40 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:50:40 - mmengine - INFO - Saving checkpoint at 72 epochs 03/05 09:50:52 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:00:08 time: 0.0279 data_time: 0.0005 03/05 09:51:06 - mmengine - INFO - Epoch(val) [72][196/196] accuracy/top1: 79.3900 accuracy/top5: 94.4300 03/05 09:51:52 - mmengine - INFO - Epoch(train) [73][ 100/5005] lr: 1.0000e-03 eta: 16:31:25 time: 0.4259 data_time: 0.0033 loss: 0.7914 03/05 09:52:35 - mmengine - INFO - Epoch(train) [73][ 200/5005] lr: 1.0000e-03 eta: 16:30:43 time: 0.4224 data_time: 0.0033 loss: 0.7560 03/05 09:53:18 - mmengine - INFO - Epoch(train) [73][ 300/5005] lr: 1.0000e-03 eta: 16:30:01 time: 0.4296 data_time: 0.0033 loss: 0.7463 03/05 09:54:00 - mmengine - INFO - Epoch(train) [73][ 400/5005] lr: 1.0000e-03 eta: 16:29:18 time: 0.4263 data_time: 0.0040 loss: 0.7757 03/05 09:54:43 - mmengine - INFO - Epoch(train) [73][ 500/5005] lr: 1.0000e-03 eta: 16:28:36 time: 0.4321 data_time: 0.0033 loss: 0.7222 03/05 09:55:26 - mmengine - INFO - Epoch(train) [73][ 600/5005] lr: 1.0000e-03 eta: 16:27:53 time: 0.4260 data_time: 0.0033 loss: 0.8835 03/05 09:55:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 09:56:08 - mmengine - INFO - Epoch(train) [73][ 700/5005] lr: 1.0000e-03 eta: 16:27:11 time: 0.4295 data_time: 0.0034 loss: 0.6750 03/05 09:56:51 - mmengine - INFO - Epoch(train) [73][ 800/5005] lr: 1.0000e-03 eta: 16:26:28 time: 0.4283 data_time: 0.0034 loss: 0.7536 03/05 09:57:34 - mmengine - INFO - Epoch(train) [73][ 900/5005] lr: 1.0000e-03 eta: 16:25:46 time: 0.4237 data_time: 0.0031 loss: 0.7955 03/05 09:58:17 - mmengine - INFO - Epoch(train) [73][1000/5005] lr: 1.0000e-03 eta: 16:25:03 time: 0.4266 data_time: 0.0033 loss: 0.6220 03/05 09:58:59 - mmengine - INFO - Epoch(train) [73][1100/5005] lr: 1.0000e-03 eta: 16:24:21 time: 0.4283 data_time: 0.0032 loss: 0.7257 03/05 09:59:42 - mmengine - INFO - Epoch(train) [73][1200/5005] lr: 1.0000e-03 eta: 16:23:38 time: 0.4240 data_time: 0.0034 loss: 0.6908 03/05 10:00:24 - mmengine - INFO - Epoch(train) [73][1300/5005] lr: 1.0000e-03 eta: 16:22:56 time: 0.4231 data_time: 0.0032 loss: 0.8349 03/05 10:01:07 - mmengine - INFO - Epoch(train) [73][1400/5005] lr: 1.0000e-03 eta: 16:22:13 time: 0.4234 data_time: 0.0033 loss: 0.6699 03/05 10:01:49 - mmengine - INFO - Epoch(train) [73][1500/5005] lr: 1.0000e-03 eta: 16:21:31 time: 0.4248 data_time: 0.0031 loss: 0.8456 03/05 10:02:32 - mmengine - INFO - Epoch(train) [73][1600/5005] lr: 1.0000e-03 eta: 16:20:49 time: 0.4259 data_time: 0.0033 loss: 0.8225 03/05 10:02:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:03:15 - mmengine - INFO - Epoch(train) [73][1700/5005] lr: 1.0000e-03 eta: 16:20:06 time: 0.4257 data_time: 0.0035 loss: 0.7184 03/05 10:03:57 - mmengine - INFO - Epoch(train) [73][1800/5005] lr: 1.0000e-03 eta: 16:19:24 time: 0.4218 data_time: 0.0031 loss: 0.6803 03/05 10:04:40 - mmengine - INFO - Epoch(train) [73][1900/5005] lr: 1.0000e-03 eta: 16:18:41 time: 0.4242 data_time: 0.0032 loss: 0.7866 03/05 10:05:23 - mmengine - INFO - Epoch(train) [73][2000/5005] lr: 1.0000e-03 eta: 16:17:59 time: 0.4228 data_time: 0.0032 loss: 0.9204 03/05 10:06:05 - mmengine - INFO - Epoch(train) [73][2100/5005] lr: 1.0000e-03 eta: 16:17:16 time: 0.4245 data_time: 0.0032 loss: 0.6958 03/05 10:06:48 - mmengine - INFO - Epoch(train) [73][2200/5005] lr: 1.0000e-03 eta: 16:16:34 time: 0.4292 data_time: 0.0033 loss: 0.8207 03/05 10:07:30 - mmengine - INFO - Epoch(train) [73][2300/5005] lr: 1.0000e-03 eta: 16:15:51 time: 0.4253 data_time: 0.0033 loss: 0.8003 03/05 10:08:13 - mmengine - INFO - Epoch(train) [73][2400/5005] lr: 1.0000e-03 eta: 16:15:09 time: 0.4256 data_time: 0.0033 loss: 0.5615 03/05 10:08:56 - mmengine - INFO - Epoch(train) [73][2500/5005] lr: 1.0000e-03 eta: 16:14:26 time: 0.4293 data_time: 0.0032 loss: 0.7962 03/05 10:09:39 - mmengine - INFO - Epoch(train) [73][2600/5005] lr: 1.0000e-03 eta: 16:13:44 time: 0.4215 data_time: 0.0032 loss: 0.6412 03/05 10:09:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:10:21 - mmengine - INFO - Epoch(train) [73][2700/5005] lr: 1.0000e-03 eta: 16:13:02 time: 0.4309 data_time: 0.0031 loss: 0.7679 03/05 10:11:04 - mmengine - INFO - Epoch(train) [73][2800/5005] lr: 1.0000e-03 eta: 16:12:19 time: 0.4259 data_time: 0.0033 loss: 0.6604 03/05 10:11:46 - mmengine - INFO - Epoch(train) [73][2900/5005] lr: 1.0000e-03 eta: 16:11:37 time: 0.4253 data_time: 0.0032 loss: 0.7216 03/05 10:12:29 - mmengine - INFO - Epoch(train) [73][3000/5005] lr: 1.0000e-03 eta: 16:10:54 time: 0.4240 data_time: 0.0035 loss: 0.6910 03/05 10:13:12 - mmengine - INFO - Epoch(train) [73][3100/5005] lr: 1.0000e-03 eta: 16:10:12 time: 0.4379 data_time: 0.0032 loss: 0.8740 03/05 10:13:54 - mmengine - INFO - Epoch(train) [73][3200/5005] lr: 1.0000e-03 eta: 16:09:29 time: 0.4281 data_time: 0.0034 loss: 0.6184 03/05 10:14:37 - mmengine - INFO - Epoch(train) [73][3300/5005] lr: 1.0000e-03 eta: 16:08:47 time: 0.4231 data_time: 0.0033 loss: 0.7064 03/05 10:15:20 - mmengine - INFO - Epoch(train) [73][3400/5005] lr: 1.0000e-03 eta: 16:08:04 time: 0.4197 data_time: 0.0032 loss: 0.7170 03/05 10:16:02 - mmengine - INFO - Epoch(train) [73][3500/5005] lr: 1.0000e-03 eta: 16:07:22 time: 0.4191 data_time: 0.0033 loss: 0.7560 03/05 10:16:45 - mmengine - INFO - Epoch(train) [73][3600/5005] lr: 1.0000e-03 eta: 16:06:39 time: 0.4264 data_time: 0.0031 loss: 0.6778 03/05 10:17:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:17:27 - mmengine - INFO - Epoch(train) [73][3700/5005] lr: 1.0000e-03 eta: 16:05:57 time: 0.4251 data_time: 0.0033 loss: 0.8074 03/05 10:18:10 - mmengine - INFO - Epoch(train) [73][3800/5005] lr: 1.0000e-03 eta: 16:05:14 time: 0.4344 data_time: 0.0033 loss: 0.7719 03/05 10:18:53 - mmengine - INFO - Epoch(train) [73][3900/5005] lr: 1.0000e-03 eta: 16:04:32 time: 0.4199 data_time: 0.0033 loss: 0.6919 03/05 10:19:35 - mmengine - INFO - Epoch(train) [73][4000/5005] lr: 1.0000e-03 eta: 16:03:49 time: 0.4208 data_time: 0.0034 loss: 0.6253 03/05 10:20:17 - mmengine - INFO - Epoch(train) [73][4100/5005] lr: 1.0000e-03 eta: 16:03:07 time: 0.4299 data_time: 0.0031 loss: 0.7603 03/05 10:21:00 - mmengine - INFO - Epoch(train) [73][4200/5005] lr: 1.0000e-03 eta: 16:02:24 time: 0.4259 data_time: 0.0031 loss: 0.6523 03/05 10:21:43 - mmengine - INFO - Epoch(train) [73][4300/5005] lr: 1.0000e-03 eta: 16:01:42 time: 0.4282 data_time: 0.0032 loss: 0.6945 03/05 10:22:25 - mmengine - INFO - Epoch(train) [73][4400/5005] lr: 1.0000e-03 eta: 16:00:59 time: 0.4269 data_time: 0.0031 loss: 0.7999 03/05 10:23:08 - mmengine - INFO - Epoch(train) [73][4500/5005] lr: 1.0000e-03 eta: 16:00:17 time: 0.4244 data_time: 0.0031 loss: 0.7683 03/05 10:23:50 - mmengine - INFO - Epoch(train) [73][4600/5005] lr: 1.0000e-03 eta: 15:59:34 time: 0.4274 data_time: 0.0031 loss: 0.8096 03/05 10:24:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:24:33 - mmengine - INFO - Epoch(train) [73][4700/5005] lr: 1.0000e-03 eta: 15:58:52 time: 0.4254 data_time: 0.0032 loss: 0.7107 03/05 10:25:16 - mmengine - INFO - Epoch(train) [73][4800/5005] lr: 1.0000e-03 eta: 15:58:09 time: 0.4242 data_time: 0.0032 loss: 0.6447 03/05 10:25:58 - mmengine - INFO - Epoch(train) [73][4900/5005] lr: 1.0000e-03 eta: 15:57:27 time: 0.4333 data_time: 0.0036 loss: 0.8483 03/05 10:26:41 - mmengine - INFO - Epoch(train) [73][5000/5005] lr: 1.0000e-03 eta: 15:56:44 time: 0.4173 data_time: 0.0030 loss: 0.8498 03/05 10:26:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:26:44 - mmengine - INFO - Saving checkpoint at 73 epochs 03/05 10:26:55 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:00:09 time: 0.0291 data_time: 0.0005 03/05 10:27:10 - mmengine - INFO - Epoch(val) [73][196/196] accuracy/top1: 79.1240 accuracy/top5: 94.4500 03/05 10:27:55 - mmengine - INFO - Epoch(train) [74][ 100/5005] lr: 1.0000e-03 eta: 15:56:01 time: 0.4216 data_time: 0.0036 loss: 0.8933 03/05 10:28:38 - mmengine - INFO - Epoch(train) [74][ 200/5005] lr: 1.0000e-03 eta: 15:55:19 time: 0.4314 data_time: 0.0031 loss: 0.7138 03/05 10:29:21 - mmengine - INFO - Epoch(train) [74][ 300/5005] lr: 1.0000e-03 eta: 15:54:36 time: 0.4264 data_time: 0.0034 loss: 0.6614 03/05 10:30:04 - mmengine - INFO - Epoch(train) [74][ 400/5005] lr: 1.0000e-03 eta: 15:53:54 time: 0.4271 data_time: 0.0032 loss: 0.9239 03/05 10:30:47 - mmengine - INFO - Epoch(train) [74][ 500/5005] lr: 1.0000e-03 eta: 15:53:11 time: 0.4280 data_time: 0.0033 loss: 0.7049 03/05 10:31:29 - mmengine - INFO - Epoch(train) [74][ 600/5005] lr: 1.0000e-03 eta: 15:52:29 time: 0.4252 data_time: 0.0031 loss: 0.7245 03/05 10:31:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:32:12 - mmengine - INFO - Epoch(train) [74][ 700/5005] lr: 1.0000e-03 eta: 15:51:46 time: 0.4190 data_time: 0.0033 loss: 0.7963 03/05 10:32:54 - mmengine - INFO - Epoch(train) [74][ 800/5005] lr: 1.0000e-03 eta: 15:51:04 time: 0.4254 data_time: 0.0031 loss: 0.5984 03/05 10:33:37 - mmengine - INFO - Epoch(train) [74][ 900/5005] lr: 1.0000e-03 eta: 15:50:21 time: 0.4218 data_time: 0.0030 loss: 0.8572 03/05 10:34:20 - mmengine - INFO - Epoch(train) [74][1000/5005] lr: 1.0000e-03 eta: 15:49:39 time: 0.4230 data_time: 0.0035 loss: 0.7169 03/05 10:35:02 - mmengine - INFO - Epoch(train) [74][1100/5005] lr: 1.0000e-03 eta: 15:48:56 time: 0.4261 data_time: 0.0032 loss: 0.7326 03/05 10:35:45 - mmengine - INFO - Epoch(train) [74][1200/5005] lr: 1.0000e-03 eta: 15:48:14 time: 0.4226 data_time: 0.0033 loss: 0.6663 03/05 10:36:28 - mmengine - INFO - Epoch(train) [74][1300/5005] lr: 1.0000e-03 eta: 15:47:32 time: 0.4224 data_time: 0.0032 loss: 0.8425 03/05 10:37:10 - mmengine - INFO - Epoch(train) [74][1400/5005] lr: 1.0000e-03 eta: 15:46:49 time: 0.4215 data_time: 0.0032 loss: 0.7670 03/05 10:37:53 - mmengine - INFO - Epoch(train) [74][1500/5005] lr: 1.0000e-03 eta: 15:46:07 time: 0.4274 data_time: 0.0034 loss: 0.7089 03/05 10:38:36 - mmengine - INFO - Epoch(train) [74][1600/5005] lr: 1.0000e-03 eta: 15:45:24 time: 0.4252 data_time: 0.0032 loss: 0.6702 03/05 10:38:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:39:19 - mmengine - INFO - Epoch(train) [74][1700/5005] lr: 1.0000e-03 eta: 15:44:42 time: 0.4256 data_time: 0.0032 loss: 0.8756 03/05 10:40:01 - mmengine - INFO - Epoch(train) [74][1800/5005] lr: 1.0000e-03 eta: 15:43:59 time: 0.4257 data_time: 0.0034 loss: 0.8070 03/05 10:40:44 - mmengine - INFO - Epoch(train) [74][1900/5005] lr: 1.0000e-03 eta: 15:43:17 time: 0.4317 data_time: 0.0033 loss: 0.6707 03/05 10:41:26 - mmengine - INFO - Epoch(train) [74][2000/5005] lr: 1.0000e-03 eta: 15:42:34 time: 0.4301 data_time: 0.0034 loss: 0.7943 03/05 10:42:09 - mmengine - INFO - Epoch(train) [74][2100/5005] lr: 1.0000e-03 eta: 15:41:52 time: 0.4229 data_time: 0.0034 loss: 0.7550 03/05 10:42:52 - mmengine - INFO - Epoch(train) [74][2200/5005] lr: 1.0000e-03 eta: 15:41:09 time: 0.4256 data_time: 0.0034 loss: 0.6900 03/05 10:43:35 - mmengine - INFO - Epoch(train) [74][2300/5005] lr: 1.0000e-03 eta: 15:40:27 time: 0.4282 data_time: 0.0031 loss: 0.6421 03/05 10:44:17 - mmengine - INFO - Epoch(train) [74][2400/5005] lr: 1.0000e-03 eta: 15:39:45 time: 0.4201 data_time: 0.0032 loss: 0.6502 03/05 10:45:00 - mmengine - INFO - Epoch(train) [74][2500/5005] lr: 1.0000e-03 eta: 15:39:02 time: 0.4282 data_time: 0.0033 loss: 0.8204 03/05 10:45:42 - mmengine - INFO - Epoch(train) [74][2600/5005] lr: 1.0000e-03 eta: 15:38:20 time: 0.4230 data_time: 0.0032 loss: 0.7586 03/05 10:45:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:46:25 - mmengine - INFO - Epoch(train) [74][2700/5005] lr: 1.0000e-03 eta: 15:37:37 time: 0.4296 data_time: 0.0036 loss: 0.7947 03/05 10:47:08 - mmengine - INFO - Epoch(train) [74][2800/5005] lr: 1.0000e-03 eta: 15:36:55 time: 0.4203 data_time: 0.0031 loss: 0.8185 03/05 10:47:51 - mmengine - INFO - Epoch(train) [74][2900/5005] lr: 1.0000e-03 eta: 15:36:12 time: 0.4305 data_time: 0.0031 loss: 0.8710 03/05 10:48:33 - mmengine - INFO - Epoch(train) [74][3000/5005] lr: 1.0000e-03 eta: 15:35:30 time: 0.4265 data_time: 0.0032 loss: 0.5847 03/05 10:49:16 - mmengine - INFO - Epoch(train) [74][3100/5005] lr: 1.0000e-03 eta: 15:34:47 time: 0.4198 data_time: 0.0035 loss: 0.7325 03/05 10:49:59 - mmengine - INFO - Epoch(train) [74][3200/5005] lr: 1.0000e-03 eta: 15:34:05 time: 0.4262 data_time: 0.0033 loss: 0.9607 03/05 10:50:42 - mmengine - INFO - Epoch(train) [74][3300/5005] lr: 1.0000e-03 eta: 15:33:23 time: 0.4244 data_time: 0.0031 loss: 0.8505 03/05 10:51:24 - mmengine - INFO - Epoch(train) [74][3400/5005] lr: 1.0000e-03 eta: 15:32:40 time: 0.4231 data_time: 0.0033 loss: 0.7785 03/05 10:52:07 - mmengine - INFO - Epoch(train) [74][3500/5005] lr: 1.0000e-03 eta: 15:31:58 time: 0.4270 data_time: 0.0035 loss: 0.8187 03/05 10:52:50 - mmengine - INFO - Epoch(train) [74][3600/5005] lr: 1.0000e-03 eta: 15:31:15 time: 0.4233 data_time: 0.0033 loss: 0.7379 03/05 10:53:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 10:53:32 - mmengine - INFO - Epoch(train) [74][3700/5005] lr: 1.0000e-03 eta: 15:30:33 time: 0.4229 data_time: 0.0034 loss: 0.8231 03/05 10:54:15 - mmengine - INFO - Epoch(train) [74][3800/5005] lr: 1.0000e-03 eta: 15:29:50 time: 0.4266 data_time: 0.0035 loss: 0.6858 03/05 10:54:58 - mmengine - INFO - Epoch(train) [74][3900/5005] lr: 1.0000e-03 eta: 15:29:08 time: 0.4256 data_time: 0.0032 loss: 0.6826 03/05 10:55:40 - mmengine - INFO - Epoch(train) [74][4000/5005] lr: 1.0000e-03 eta: 15:28:25 time: 0.4263 data_time: 0.0032 loss: 0.8298 03/05 10:56:23 - mmengine - INFO - Epoch(train) [74][4100/5005] lr: 1.0000e-03 eta: 15:27:43 time: 0.4235 data_time: 0.0032 loss: 0.8474 03/05 10:57:05 - mmengine - INFO - Epoch(train) [74][4200/5005] lr: 1.0000e-03 eta: 15:27:00 time: 0.4246 data_time: 0.0031 loss: 0.7531 03/05 10:57:48 - mmengine - INFO - Epoch(train) [74][4300/5005] lr: 1.0000e-03 eta: 15:26:18 time: 0.4255 data_time: 0.0033 loss: 0.8120 03/05 10:58:31 - mmengine - INFO - Epoch(train) [74][4400/5005] lr: 1.0000e-03 eta: 15:25:35 time: 0.4227 data_time: 0.0033 loss: 0.6972 03/05 10:59:14 - mmengine - INFO - Epoch(train) [74][4500/5005] lr: 1.0000e-03 eta: 15:24:53 time: 0.4254 data_time: 0.0034 loss: 0.8076 03/05 10:59:56 - mmengine - INFO - Epoch(train) [74][4600/5005] lr: 1.0000e-03 eta: 15:24:11 time: 0.4235 data_time: 0.0032 loss: 0.7445 03/05 11:00:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:00:39 - mmengine - INFO - Epoch(train) [74][4700/5005] lr: 1.0000e-03 eta: 15:23:28 time: 0.4272 data_time: 0.0032 loss: 0.7796 03/05 11:01:22 - mmengine - INFO - Epoch(train) [74][4800/5005] lr: 1.0000e-03 eta: 15:22:46 time: 0.4313 data_time: 0.0033 loss: 0.7102 03/05 11:02:04 - mmengine - INFO - Epoch(train) [74][4900/5005] lr: 1.0000e-03 eta: 15:22:03 time: 0.4271 data_time: 0.0032 loss: 0.8884 03/05 11:02:47 - mmengine - INFO - Epoch(train) [74][5000/5005] lr: 1.0000e-03 eta: 15:21:21 time: 0.4212 data_time: 0.0032 loss: 0.6563 03/05 11:02:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:02:50 - mmengine - INFO - Saving checkpoint at 74 epochs 03/05 11:03:02 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:00:08 time: 0.0284 data_time: 0.0004 03/05 11:03:15 - mmengine - INFO - Epoch(val) [74][196/196] accuracy/top1: 79.2620 accuracy/top5: 94.4800 03/05 11:04:01 - mmengine - INFO - Epoch(train) [75][ 100/5005] lr: 1.0000e-03 eta: 15:20:37 time: 0.4228 data_time: 0.0032 loss: 0.5734 03/05 11:04:44 - mmengine - INFO - Epoch(train) [75][ 200/5005] lr: 1.0000e-03 eta: 15:19:55 time: 0.4170 data_time: 0.0033 loss: 0.7730 03/05 11:05:27 - mmengine - INFO - Epoch(train) [75][ 300/5005] lr: 1.0000e-03 eta: 15:19:13 time: 0.4265 data_time: 0.0032 loss: 0.7662 03/05 11:06:10 - mmengine - INFO - Epoch(train) [75][ 400/5005] lr: 1.0000e-03 eta: 15:18:30 time: 0.4268 data_time: 0.0034 loss: 0.7523 03/05 11:06:53 - mmengine - INFO - Epoch(train) [75][ 500/5005] lr: 1.0000e-03 eta: 15:17:48 time: 0.4249 data_time: 0.0036 loss: 0.8471 03/05 11:07:35 - mmengine - INFO - Epoch(train) [75][ 600/5005] lr: 1.0000e-03 eta: 15:17:05 time: 0.4245 data_time: 0.0033 loss: 0.7339 03/05 11:07:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:08:18 - mmengine - INFO - Epoch(train) [75][ 700/5005] lr: 1.0000e-03 eta: 15:16:23 time: 0.4207 data_time: 0.0034 loss: 0.8441 03/05 11:09:01 - mmengine - INFO - Epoch(train) [75][ 800/5005] lr: 1.0000e-03 eta: 15:15:40 time: 0.4241 data_time: 0.0033 loss: 0.7138 03/05 11:09:44 - mmengine - INFO - Epoch(train) [75][ 900/5005] lr: 1.0000e-03 eta: 15:14:58 time: 0.4232 data_time: 0.0035 loss: 0.8855 03/05 11:10:26 - mmengine - INFO - Epoch(train) [75][1000/5005] lr: 1.0000e-03 eta: 15:14:16 time: 0.4247 data_time: 0.0034 loss: 0.6931 03/05 11:11:09 - mmengine - INFO - Epoch(train) [75][1100/5005] lr: 1.0000e-03 eta: 15:13:33 time: 0.4286 data_time: 0.0034 loss: 0.8167 03/05 11:11:52 - mmengine - INFO - Epoch(train) [75][1200/5005] lr: 1.0000e-03 eta: 15:12:51 time: 0.4253 data_time: 0.0032 loss: 0.8684 03/05 11:12:35 - mmengine - INFO - Epoch(train) [75][1300/5005] lr: 1.0000e-03 eta: 15:12:08 time: 0.4349 data_time: 0.0036 loss: 0.8546 03/05 11:13:18 - mmengine - INFO - Epoch(train) [75][1400/5005] lr: 1.0000e-03 eta: 15:11:26 time: 0.4314 data_time: 0.0044 loss: 0.6998 03/05 11:14:01 - mmengine - INFO - Epoch(train) [75][1500/5005] lr: 1.0000e-03 eta: 15:10:44 time: 0.4308 data_time: 0.0045 loss: 0.7910 03/05 11:14:44 - mmengine - INFO - Epoch(train) [75][1600/5005] lr: 1.0000e-03 eta: 15:10:01 time: 0.4263 data_time: 0.0036 loss: 0.6369 03/05 11:14:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:15:28 - mmengine - INFO - Epoch(train) [75][1700/5005] lr: 1.0000e-03 eta: 15:09:19 time: 0.4278 data_time: 0.0041 loss: 0.7677 03/05 11:16:11 - mmengine - INFO - Epoch(train) [75][1800/5005] lr: 1.0000e-03 eta: 15:08:37 time: 0.4306 data_time: 0.0041 loss: 0.6727 03/05 11:16:54 - mmengine - INFO - Epoch(train) [75][1900/5005] lr: 1.0000e-03 eta: 15:07:54 time: 0.4296 data_time: 0.0045 loss: 0.8285 03/05 11:17:37 - mmengine - INFO - Epoch(train) [75][2000/5005] lr: 1.0000e-03 eta: 15:07:12 time: 0.4287 data_time: 0.0045 loss: 0.7162 03/05 11:18:20 - mmengine - INFO - Epoch(train) [75][2100/5005] lr: 1.0000e-03 eta: 15:06:30 time: 0.4315 data_time: 0.0041 loss: 0.7456 03/05 11:19:03 - mmengine - INFO - Epoch(train) [75][2200/5005] lr: 1.0000e-03 eta: 15:05:48 time: 0.4292 data_time: 0.0039 loss: 0.6055 03/05 11:19:47 - mmengine - INFO - Epoch(train) [75][2300/5005] lr: 1.0000e-03 eta: 15:05:05 time: 0.4310 data_time: 0.0041 loss: 0.7322 03/05 11:20:30 - mmengine - INFO - Epoch(train) [75][2400/5005] lr: 1.0000e-03 eta: 15:04:23 time: 0.4278 data_time: 0.0041 loss: 0.7463 03/05 11:21:13 - mmengine - INFO - Epoch(train) [75][2500/5005] lr: 1.0000e-03 eta: 15:03:41 time: 0.4255 data_time: 0.0040 loss: 0.7606 03/05 11:21:56 - mmengine - INFO - Epoch(train) [75][2600/5005] lr: 1.0000e-03 eta: 15:02:59 time: 0.4307 data_time: 0.0042 loss: 0.9451 03/05 11:22:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:22:39 - mmengine - INFO - Epoch(train) [75][2700/5005] lr: 1.0000e-03 eta: 15:02:16 time: 0.4301 data_time: 0.0044 loss: 0.6191 03/05 11:23:23 - mmengine - INFO - Epoch(train) [75][2800/5005] lr: 1.0000e-03 eta: 15:01:34 time: 0.4384 data_time: 0.0046 loss: 0.6390 03/05 11:24:06 - mmengine - INFO - Epoch(train) [75][2900/5005] lr: 1.0000e-03 eta: 15:00:52 time: 0.4328 data_time: 0.0040 loss: 0.7423 03/05 11:24:49 - mmengine - INFO - Epoch(train) [75][3000/5005] lr: 1.0000e-03 eta: 15:00:09 time: 0.4238 data_time: 0.0043 loss: 0.7811 03/05 11:25:32 - mmengine - INFO - Epoch(train) [75][3100/5005] lr: 1.0000e-03 eta: 14:59:27 time: 0.4284 data_time: 0.0041 loss: 0.6542 03/05 11:26:15 - mmengine - INFO - Epoch(train) [75][3200/5005] lr: 1.0000e-03 eta: 14:58:45 time: 0.4334 data_time: 0.0046 loss: 0.7705 03/05 11:26:59 - mmengine - INFO - Epoch(train) [75][3300/5005] lr: 1.0000e-03 eta: 14:58:02 time: 0.4246 data_time: 0.0041 loss: 0.5742 03/05 11:27:42 - mmengine - INFO - Epoch(train) [75][3400/5005] lr: 1.0000e-03 eta: 14:57:20 time: 0.4323 data_time: 0.0041 loss: 0.8929 03/05 11:28:25 - mmengine - INFO - Epoch(train) [75][3500/5005] lr: 1.0000e-03 eta: 14:56:38 time: 0.4308 data_time: 0.0042 loss: 0.7013 03/05 11:29:08 - mmengine - INFO - Epoch(train) [75][3600/5005] lr: 1.0000e-03 eta: 14:55:56 time: 0.4293 data_time: 0.0042 loss: 0.6707 03/05 11:29:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:29:52 - mmengine - INFO - Epoch(train) [75][3700/5005] lr: 1.0000e-03 eta: 14:55:13 time: 0.4296 data_time: 0.0044 loss: 0.7094 03/05 11:30:35 - mmengine - INFO - Epoch(train) [75][3800/5005] lr: 1.0000e-03 eta: 14:54:31 time: 0.4292 data_time: 0.0047 loss: 0.6859 03/05 11:31:18 - mmengine - INFO - Epoch(train) [75][3900/5005] lr: 1.0000e-03 eta: 14:53:49 time: 0.4313 data_time: 0.0041 loss: 0.6783 03/05 11:32:01 - mmengine - INFO - Epoch(train) [75][4000/5005] lr: 1.0000e-03 eta: 14:53:06 time: 0.4256 data_time: 0.0043 loss: 0.6184 03/05 11:32:44 - mmengine - INFO - Epoch(train) [75][4100/5005] lr: 1.0000e-03 eta: 14:52:24 time: 0.4372 data_time: 0.0040 loss: 0.7634 03/05 11:33:27 - mmengine - INFO - Epoch(train) [75][4200/5005] lr: 1.0000e-03 eta: 14:51:42 time: 0.4299 data_time: 0.0043 loss: 0.7223 03/05 11:34:11 - mmengine - INFO - Epoch(train) [75][4300/5005] lr: 1.0000e-03 eta: 14:50:59 time: 0.4304 data_time: 0.0045 loss: 0.8432 03/05 11:34:54 - mmengine - INFO - Epoch(train) [75][4400/5005] lr: 1.0000e-03 eta: 14:50:17 time: 0.4292 data_time: 0.0050 loss: 0.6602 03/05 11:35:37 - mmengine - INFO - Epoch(train) [75][4500/5005] lr: 1.0000e-03 eta: 14:49:35 time: 0.4281 data_time: 0.0041 loss: 0.7923 03/05 11:36:20 - mmengine - INFO - Epoch(train) [75][4600/5005] lr: 1.0000e-03 eta: 14:48:53 time: 0.4337 data_time: 0.0048 loss: 0.8218 03/05 11:36:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:37:03 - mmengine - INFO - Epoch(train) [75][4700/5005] lr: 1.0000e-03 eta: 14:48:10 time: 0.4276 data_time: 0.0043 loss: 0.9912 03/05 11:37:46 - mmengine - INFO - Epoch(train) [75][4800/5005] lr: 1.0000e-03 eta: 14:47:28 time: 0.4313 data_time: 0.0038 loss: 0.5140 03/05 11:38:30 - mmengine - INFO - Epoch(train) [75][4900/5005] lr: 1.0000e-03 eta: 14:46:46 time: 0.4273 data_time: 0.0037 loss: 0.7961 03/05 11:39:13 - mmengine - INFO - Epoch(train) [75][5000/5005] lr: 1.0000e-03 eta: 14:46:03 time: 0.4253 data_time: 0.0040 loss: 0.7737 03/05 11:39:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:39:16 - mmengine - INFO - Saving checkpoint at 75 epochs 03/05 11:39:28 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:00:08 time: 0.0286 data_time: 0.0004 03/05 11:39:41 - mmengine - INFO - Epoch(val) [75][196/196] accuracy/top1: 79.3100 accuracy/top5: 94.5720 03/05 11:40:27 - mmengine - INFO - Epoch(train) [76][ 100/5005] lr: 1.0000e-03 eta: 14:45:20 time: 0.4317 data_time: 0.0035 loss: 0.6489 03/05 11:41:10 - mmengine - INFO - Epoch(train) [76][ 200/5005] lr: 1.0000e-03 eta: 14:44:37 time: 0.4246 data_time: 0.0032 loss: 0.6766 03/05 11:41:53 - mmengine - INFO - Epoch(train) [76][ 300/5005] lr: 1.0000e-03 eta: 14:43:55 time: 0.4220 data_time: 0.0035 loss: 0.8218 03/05 11:42:36 - mmengine - INFO - Epoch(train) [76][ 400/5005] lr: 1.0000e-03 eta: 14:43:13 time: 0.4233 data_time: 0.0032 loss: 0.9038 03/05 11:43:18 - mmengine - INFO - Epoch(train) [76][ 500/5005] lr: 1.0000e-03 eta: 14:42:30 time: 0.4227 data_time: 0.0032 loss: 0.9371 03/05 11:44:01 - mmengine - INFO - Epoch(train) [76][ 600/5005] lr: 1.0000e-03 eta: 14:41:48 time: 0.4224 data_time: 0.0032 loss: 0.8861 03/05 11:44:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:44:44 - mmengine - INFO - Epoch(train) [76][ 700/5005] lr: 1.0000e-03 eta: 14:41:05 time: 0.4617 data_time: 0.0032 loss: 0.7503 03/05 11:45:27 - mmengine - INFO - Epoch(train) [76][ 800/5005] lr: 1.0000e-03 eta: 14:40:23 time: 0.4302 data_time: 0.0035 loss: 0.9346 03/05 11:46:10 - mmengine - INFO - Epoch(train) [76][ 900/5005] lr: 1.0000e-03 eta: 14:39:40 time: 0.4243 data_time: 0.0031 loss: 0.6874 03/05 11:46:52 - mmengine - INFO - Epoch(train) [76][1000/5005] lr: 1.0000e-03 eta: 14:38:58 time: 0.4252 data_time: 0.0034 loss: 0.7743 03/05 11:47:35 - mmengine - INFO - Epoch(train) [76][1100/5005] lr: 1.0000e-03 eta: 14:38:15 time: 0.4247 data_time: 0.0033 loss: 0.7564 03/05 11:48:18 - mmengine - INFO - Epoch(train) [76][1200/5005] lr: 1.0000e-03 eta: 14:37:33 time: 0.4280 data_time: 0.0033 loss: 0.7829 03/05 11:49:00 - mmengine - INFO - Epoch(train) [76][1300/5005] lr: 1.0000e-03 eta: 14:36:50 time: 0.4247 data_time: 0.0032 loss: 0.7596 03/05 11:49:43 - mmengine - INFO - Epoch(train) [76][1400/5005] lr: 1.0000e-03 eta: 14:36:08 time: 0.4338 data_time: 0.0032 loss: 0.6778 03/05 11:50:25 - mmengine - INFO - Epoch(train) [76][1500/5005] lr: 1.0000e-03 eta: 14:35:25 time: 0.4240 data_time: 0.0034 loss: 0.8275 03/05 11:51:08 - mmengine - INFO - Epoch(train) [76][1600/5005] lr: 1.0000e-03 eta: 14:34:43 time: 0.4249 data_time: 0.0033 loss: 0.6760 03/05 11:51:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:51:51 - mmengine - INFO - Epoch(train) [76][1700/5005] lr: 1.0000e-03 eta: 14:34:00 time: 0.4281 data_time: 0.0034 loss: 0.8849 03/05 11:52:33 - mmengine - INFO - Epoch(train) [76][1800/5005] lr: 1.0000e-03 eta: 14:33:18 time: 0.4219 data_time: 0.0037 loss: 0.7221 03/05 11:53:16 - mmengine - INFO - Epoch(train) [76][1900/5005] lr: 1.0000e-03 eta: 14:32:35 time: 0.4267 data_time: 0.0033 loss: 0.5829 03/05 11:53:58 - mmengine - INFO - Epoch(train) [76][2000/5005] lr: 1.0000e-03 eta: 14:31:53 time: 0.4251 data_time: 0.0033 loss: 0.8434 03/05 11:54:41 - mmengine - INFO - Epoch(train) [76][2100/5005] lr: 1.0000e-03 eta: 14:31:10 time: 0.4247 data_time: 0.0032 loss: 0.7453 03/05 11:55:24 - mmengine - INFO - Epoch(train) [76][2200/5005] lr: 1.0000e-03 eta: 14:30:28 time: 0.4231 data_time: 0.0031 loss: 0.8285 03/05 11:56:06 - mmengine - INFO - Epoch(train) [76][2300/5005] lr: 1.0000e-03 eta: 14:29:46 time: 0.4227 data_time: 0.0032 loss: 0.7655 03/05 11:56:49 - mmengine - INFO - Epoch(train) [76][2400/5005] lr: 1.0000e-03 eta: 14:29:03 time: 0.4207 data_time: 0.0033 loss: 0.7750 03/05 11:57:32 - mmengine - INFO - Epoch(train) [76][2500/5005] lr: 1.0000e-03 eta: 14:28:21 time: 0.4230 data_time: 0.0032 loss: 0.7459 03/05 11:58:14 - mmengine - INFO - Epoch(train) [76][2600/5005] lr: 1.0000e-03 eta: 14:27:38 time: 0.4252 data_time: 0.0032 loss: 0.6675 03/05 11:58:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 11:58:57 - mmengine - INFO - Epoch(train) [76][2700/5005] lr: 1.0000e-03 eta: 14:26:56 time: 0.4326 data_time: 0.0032 loss: 0.6944 03/05 11:59:40 - mmengine - INFO - Epoch(train) [76][2800/5005] lr: 1.0000e-03 eta: 14:26:13 time: 0.4251 data_time: 0.0032 loss: 0.7561 03/05 12:00:23 - mmengine - INFO - Epoch(train) [76][2900/5005] lr: 1.0000e-03 eta: 14:25:31 time: 0.4287 data_time: 0.0032 loss: 0.7005 03/05 12:01:05 - mmengine - INFO - Epoch(train) [76][3000/5005] lr: 1.0000e-03 eta: 14:24:48 time: 0.4220 data_time: 0.0036 loss: 0.7930 03/05 12:01:48 - mmengine - INFO - Epoch(train) [76][3100/5005] lr: 1.0000e-03 eta: 14:24:06 time: 0.4262 data_time: 0.0034 loss: 0.7201 03/05 12:02:31 - mmengine - INFO - Epoch(train) [76][3200/5005] lr: 1.0000e-03 eta: 14:23:23 time: 0.4293 data_time: 0.0035 loss: 0.6486 03/05 12:03:13 - mmengine - INFO - Epoch(train) [76][3300/5005] lr: 1.0000e-03 eta: 14:22:41 time: 0.4297 data_time: 0.0033 loss: 0.6577 03/05 12:03:56 - mmengine - INFO - Epoch(train) [76][3400/5005] lr: 1.0000e-03 eta: 14:21:58 time: 0.4222 data_time: 0.0034 loss: 0.7454 03/05 12:04:39 - mmengine - INFO - Epoch(train) [76][3500/5005] lr: 1.0000e-03 eta: 14:21:16 time: 0.4215 data_time: 0.0032 loss: 0.8308 03/05 12:05:21 - mmengine - INFO - Epoch(train) [76][3600/5005] lr: 1.0000e-03 eta: 14:20:33 time: 0.4249 data_time: 0.0033 loss: 0.7608 03/05 12:05:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:06:04 - mmengine - INFO - Epoch(train) [76][3700/5005] lr: 1.0000e-03 eta: 14:19:51 time: 0.4266 data_time: 0.0037 loss: 0.8641 03/05 12:06:47 - mmengine - INFO - Epoch(train) [76][3800/5005] lr: 1.0000e-03 eta: 14:19:09 time: 0.4231 data_time: 0.0033 loss: 0.7275 03/05 12:07:29 - mmengine - INFO - Epoch(train) [76][3900/5005] lr: 1.0000e-03 eta: 14:18:26 time: 0.4290 data_time: 0.0032 loss: 0.7250 03/05 12:08:12 - mmengine - INFO - Epoch(train) [76][4000/5005] lr: 1.0000e-03 eta: 14:17:44 time: 0.4275 data_time: 0.0033 loss: 0.8680 03/05 12:08:55 - mmengine - INFO - Epoch(train) [76][4100/5005] lr: 1.0000e-03 eta: 14:17:01 time: 0.4191 data_time: 0.0032 loss: 0.7507 03/05 12:09:37 - mmengine - INFO - Epoch(train) [76][4200/5005] lr: 1.0000e-03 eta: 14:16:19 time: 0.4226 data_time: 0.0035 loss: 0.7792 03/05 12:10:20 - mmengine - INFO - Epoch(train) [76][4300/5005] lr: 1.0000e-03 eta: 14:15:36 time: 0.4265 data_time: 0.0033 loss: 0.8375 03/05 12:11:03 - mmengine - INFO - Epoch(train) [76][4400/5005] lr: 1.0000e-03 eta: 14:14:54 time: 0.4299 data_time: 0.0032 loss: 0.7159 03/05 12:11:45 - mmengine - INFO - Epoch(train) [76][4500/5005] lr: 1.0000e-03 eta: 14:14:11 time: 0.4276 data_time: 0.0032 loss: 0.7494 03/05 12:12:28 - mmengine - INFO - Epoch(train) [76][4600/5005] lr: 1.0000e-03 eta: 14:13:29 time: 0.4312 data_time: 0.0034 loss: 0.7157 03/05 12:12:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:13:11 - mmengine - INFO - Epoch(train) [76][4700/5005] lr: 1.0000e-03 eta: 14:12:46 time: 0.4250 data_time: 0.0034 loss: 0.7870 03/05 12:13:54 - mmengine - INFO - Epoch(train) [76][4800/5005] lr: 1.0000e-03 eta: 14:12:04 time: 0.4251 data_time: 0.0033 loss: 0.7618 03/05 12:14:36 - mmengine - INFO - Epoch(train) [76][4900/5005] lr: 1.0000e-03 eta: 14:11:21 time: 0.4207 data_time: 0.0032 loss: 0.7935 03/05 12:15:19 - mmengine - INFO - Epoch(train) [76][5000/5005] lr: 1.0000e-03 eta: 14:10:39 time: 0.4258 data_time: 0.0031 loss: 0.7183 03/05 12:15:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:15:22 - mmengine - INFO - Saving checkpoint at 76 epochs 03/05 12:15:34 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:00:08 time: 0.0285 data_time: 0.0004 03/05 12:15:48 - mmengine - INFO - Epoch(val) [76][196/196] accuracy/top1: 79.1260 accuracy/top5: 94.5040 03/05 12:16:34 - mmengine - INFO - Epoch(train) [77][ 100/5005] lr: 1.0000e-03 eta: 14:09:55 time: 0.4267 data_time: 0.0033 loss: 0.7521 03/05 12:17:17 - mmengine - INFO - Epoch(train) [77][ 200/5005] lr: 1.0000e-03 eta: 14:09:13 time: 0.4232 data_time: 0.0035 loss: 0.7057 03/05 12:18:00 - mmengine - INFO - Epoch(train) [77][ 300/5005] lr: 1.0000e-03 eta: 14:08:31 time: 0.4246 data_time: 0.0034 loss: 0.6234 03/05 12:18:42 - mmengine - INFO - Epoch(train) [77][ 400/5005] lr: 1.0000e-03 eta: 14:07:48 time: 0.4240 data_time: 0.0032 loss: 0.5904 03/05 12:19:25 - mmengine - INFO - Epoch(train) [77][ 500/5005] lr: 1.0000e-03 eta: 14:07:06 time: 0.4225 data_time: 0.0033 loss: 0.7478 03/05 12:20:08 - mmengine - INFO - Epoch(train) [77][ 600/5005] lr: 1.0000e-03 eta: 14:06:23 time: 0.4245 data_time: 0.0037 loss: 0.7930 03/05 12:20:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:20:50 - mmengine - INFO - Epoch(train) [77][ 700/5005] lr: 1.0000e-03 eta: 14:05:41 time: 0.4243 data_time: 0.0033 loss: 0.7661 03/05 12:21:33 - mmengine - INFO - Epoch(train) [77][ 800/5005] lr: 1.0000e-03 eta: 14:04:58 time: 0.4222 data_time: 0.0034 loss: 0.7577 03/05 12:22:16 - mmengine - INFO - Epoch(train) [77][ 900/5005] lr: 1.0000e-03 eta: 14:04:16 time: 0.4299 data_time: 0.0034 loss: 0.8719 03/05 12:22:59 - mmengine - INFO - Epoch(train) [77][1000/5005] lr: 1.0000e-03 eta: 14:03:33 time: 0.4258 data_time: 0.0035 loss: 0.7274 03/05 12:23:42 - mmengine - INFO - Epoch(train) [77][1100/5005] lr: 1.0000e-03 eta: 14:02:51 time: 0.4246 data_time: 0.0036 loss: 0.7469 03/05 12:24:24 - mmengine - INFO - Epoch(train) [77][1200/5005] lr: 1.0000e-03 eta: 14:02:08 time: 0.4201 data_time: 0.0032 loss: 0.7877 03/05 12:25:07 - mmengine - INFO - Epoch(train) [77][1300/5005] lr: 1.0000e-03 eta: 14:01:26 time: 0.4204 data_time: 0.0034 loss: 0.6227 03/05 12:25:49 - mmengine - INFO - Epoch(train) [77][1400/5005] lr: 1.0000e-03 eta: 14:00:43 time: 0.4215 data_time: 0.0034 loss: 0.7659 03/05 12:26:32 - mmengine - INFO - Epoch(train) [77][1500/5005] lr: 1.0000e-03 eta: 14:00:01 time: 0.4287 data_time: 0.0035 loss: 0.7378 03/05 12:27:14 - mmengine - INFO - Epoch(train) [77][1600/5005] lr: 1.0000e-03 eta: 13:59:18 time: 0.4198 data_time: 0.0033 loss: 0.7118 03/05 12:27:23 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:27:57 - mmengine - INFO - Epoch(train) [77][1700/5005] lr: 1.0000e-03 eta: 13:58:36 time: 0.4231 data_time: 0.0034 loss: 0.8288 03/05 12:28:40 - mmengine - INFO - Epoch(train) [77][1800/5005] lr: 1.0000e-03 eta: 13:57:53 time: 0.4290 data_time: 0.0033 loss: 0.6847 03/05 12:29:22 - mmengine - INFO - Epoch(train) [77][1900/5005] lr: 1.0000e-03 eta: 13:57:11 time: 0.4229 data_time: 0.0032 loss: 0.5850 03/05 12:30:05 - mmengine - INFO - Epoch(train) [77][2000/5005] lr: 1.0000e-03 eta: 13:56:28 time: 0.4291 data_time: 0.0034 loss: 0.6970 03/05 12:30:47 - mmengine - INFO - Epoch(train) [77][2100/5005] lr: 1.0000e-03 eta: 13:55:46 time: 0.4242 data_time: 0.0034 loss: 0.7589 03/05 12:31:30 - mmengine - INFO - Epoch(train) [77][2200/5005] lr: 1.0000e-03 eta: 13:55:03 time: 0.4252 data_time: 0.0033 loss: 0.6614 03/05 12:32:13 - mmengine - INFO - Epoch(train) [77][2300/5005] lr: 1.0000e-03 eta: 13:54:21 time: 0.4234 data_time: 0.0035 loss: 0.6089 03/05 12:32:55 - mmengine - INFO - Epoch(train) [77][2400/5005] lr: 1.0000e-03 eta: 13:53:38 time: 0.4221 data_time: 0.0037 loss: 0.8491 03/05 12:33:38 - mmengine - INFO - Epoch(train) [77][2500/5005] lr: 1.0000e-03 eta: 13:52:56 time: 0.4252 data_time: 0.0033 loss: 0.7323 03/05 12:34:20 - mmengine - INFO - Epoch(train) [77][2600/5005] lr: 1.0000e-03 eta: 13:52:13 time: 0.4273 data_time: 0.0033 loss: 0.8653 03/05 12:34:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:35:03 - mmengine - INFO - Epoch(train) [77][2700/5005] lr: 1.0000e-03 eta: 13:51:31 time: 0.4238 data_time: 0.0033 loss: 0.6032 03/05 12:35:46 - mmengine - INFO - Epoch(train) [77][2800/5005] lr: 1.0000e-03 eta: 13:50:48 time: 0.4276 data_time: 0.0038 loss: 0.7153 03/05 12:36:28 - mmengine - INFO - Epoch(train) [77][2900/5005] lr: 1.0000e-03 eta: 13:50:06 time: 0.4249 data_time: 0.0033 loss: 0.8238 03/05 12:37:11 - mmengine - INFO - Epoch(train) [77][3000/5005] lr: 1.0000e-03 eta: 13:49:23 time: 0.4267 data_time: 0.0033 loss: 0.6225 03/05 12:37:54 - mmengine - INFO - Epoch(train) [77][3100/5005] lr: 1.0000e-03 eta: 13:48:41 time: 0.4237 data_time: 0.0035 loss: 0.7230 03/05 12:38:36 - mmengine - INFO - Epoch(train) [77][3200/5005] lr: 1.0000e-03 eta: 13:47:58 time: 0.4208 data_time: 0.0033 loss: 0.6837 03/05 12:39:19 - mmengine - INFO - Epoch(train) [77][3300/5005] lr: 1.0000e-03 eta: 13:47:16 time: 0.4218 data_time: 0.0035 loss: 0.6835 03/05 12:40:01 - mmengine - INFO - Epoch(train) [77][3400/5005] lr: 1.0000e-03 eta: 13:46:33 time: 0.4273 data_time: 0.0036 loss: 0.8068 03/05 12:40:44 - mmengine - INFO - Epoch(train) [77][3500/5005] lr: 1.0000e-03 eta: 13:45:51 time: 0.4212 data_time: 0.0034 loss: 0.6783 03/05 12:41:26 - mmengine - INFO - Epoch(train) [77][3600/5005] lr: 1.0000e-03 eta: 13:45:08 time: 0.4227 data_time: 0.0032 loss: 0.6994 03/05 12:41:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:42:09 - mmengine - INFO - Epoch(train) [77][3700/5005] lr: 1.0000e-03 eta: 13:44:26 time: 0.4238 data_time: 0.0032 loss: 0.7654 03/05 12:42:52 - mmengine - INFO - Epoch(train) [77][3800/5005] lr: 1.0000e-03 eta: 13:43:43 time: 0.4243 data_time: 0.0031 loss: 0.6889 03/05 12:43:34 - mmengine - INFO - Epoch(train) [77][3900/5005] lr: 1.0000e-03 eta: 13:43:01 time: 0.4227 data_time: 0.0032 loss: 0.7688 03/05 12:44:17 - mmengine - INFO - Epoch(train) [77][4000/5005] lr: 1.0000e-03 eta: 13:42:18 time: 0.4252 data_time: 0.0033 loss: 0.6272 03/05 12:44:59 - mmengine - INFO - Epoch(train) [77][4100/5005] lr: 1.0000e-03 eta: 13:41:36 time: 0.4211 data_time: 0.0032 loss: 0.7081 03/05 12:45:42 - mmengine - INFO - Epoch(train) [77][4200/5005] lr: 1.0000e-03 eta: 13:40:53 time: 0.4263 data_time: 0.0034 loss: 0.8142 03/05 12:46:25 - mmengine - INFO - Epoch(train) [77][4300/5005] lr: 1.0000e-03 eta: 13:40:11 time: 0.4239 data_time: 0.0032 loss: 0.8207 03/05 12:47:07 - mmengine - INFO - Epoch(train) [77][4400/5005] lr: 1.0000e-03 eta: 13:39:29 time: 0.4224 data_time: 0.0035 loss: 0.6845 03/05 12:47:50 - mmengine - INFO - Epoch(train) [77][4500/5005] lr: 1.0000e-03 eta: 13:38:46 time: 0.4202 data_time: 0.0033 loss: 0.7235 03/05 12:48:33 - mmengine - INFO - Epoch(train) [77][4600/5005] lr: 1.0000e-03 eta: 13:38:04 time: 0.4281 data_time: 0.0033 loss: 0.7158 03/05 12:48:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:49:15 - mmengine - INFO - Epoch(train) [77][4700/5005] lr: 1.0000e-03 eta: 13:37:21 time: 0.4227 data_time: 0.0033 loss: 0.8131 03/05 12:49:58 - mmengine - INFO - Epoch(train) [77][4800/5005] lr: 1.0000e-03 eta: 13:36:39 time: 0.4286 data_time: 0.0032 loss: 0.6643 03/05 12:50:40 - mmengine - INFO - Epoch(train) [77][4900/5005] lr: 1.0000e-03 eta: 13:35:56 time: 0.4266 data_time: 0.0032 loss: 0.6920 03/05 12:51:23 - mmengine - INFO - Epoch(train) [77][5000/5005] lr: 1.0000e-03 eta: 13:35:14 time: 0.4225 data_time: 0.0032 loss: 0.9202 03/05 12:51:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:51:26 - mmengine - INFO - Saving checkpoint at 77 epochs 03/05 12:51:38 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:00:08 time: 0.0532 data_time: 0.0004 03/05 12:51:52 - mmengine - INFO - Epoch(val) [77][196/196] accuracy/top1: 79.0940 accuracy/top5: 94.5380 03/05 12:52:38 - mmengine - INFO - Epoch(train) [78][ 100/5005] lr: 1.0000e-03 eta: 13:34:30 time: 0.4244 data_time: 0.0033 loss: 0.7172 03/05 12:53:21 - mmengine - INFO - Epoch(train) [78][ 200/5005] lr: 1.0000e-03 eta: 13:33:48 time: 0.4298 data_time: 0.0033 loss: 0.7305 03/05 12:54:04 - mmengine - INFO - Epoch(train) [78][ 300/5005] lr: 1.0000e-03 eta: 13:33:05 time: 0.4256 data_time: 0.0043 loss: 0.6958 03/05 12:54:47 - mmengine - INFO - Epoch(train) [78][ 400/5005] lr: 1.0000e-03 eta: 13:32:23 time: 0.4322 data_time: 0.0036 loss: 0.6975 03/05 12:55:30 - mmengine - INFO - Epoch(train) [78][ 500/5005] lr: 1.0000e-03 eta: 13:31:40 time: 0.4324 data_time: 0.0033 loss: 0.6608 03/05 12:56:13 - mmengine - INFO - Epoch(train) [78][ 600/5005] lr: 1.0000e-03 eta: 13:30:58 time: 0.4339 data_time: 0.0036 loss: 0.6615 03/05 12:56:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 12:56:55 - mmengine - INFO - Epoch(train) [78][ 700/5005] lr: 1.0000e-03 eta: 13:30:15 time: 0.4224 data_time: 0.0043 loss: 0.6904 03/05 12:57:38 - mmengine - INFO - Epoch(train) [78][ 800/5005] lr: 1.0000e-03 eta: 13:29:33 time: 0.4254 data_time: 0.0032 loss: 0.6843 03/05 12:58:21 - mmengine - INFO - Epoch(train) [78][ 900/5005] lr: 1.0000e-03 eta: 13:28:51 time: 0.4269 data_time: 0.0034 loss: 0.7303 03/05 12:59:04 - mmengine - INFO - Epoch(train) [78][1000/5005] lr: 1.0000e-03 eta: 13:28:08 time: 0.4274 data_time: 0.0033 loss: 0.7104 03/05 12:59:47 - mmengine - INFO - Epoch(train) [78][1100/5005] lr: 1.0000e-03 eta: 13:27:26 time: 0.4247 data_time: 0.0033 loss: 0.7951 03/05 13:00:29 - mmengine - INFO - Epoch(train) [78][1200/5005] lr: 1.0000e-03 eta: 13:26:43 time: 0.4229 data_time: 0.0036 loss: 0.6069 03/05 13:01:12 - mmengine - INFO - Epoch(train) [78][1300/5005] lr: 1.0000e-03 eta: 13:26:01 time: 0.4235 data_time: 0.0035 loss: 0.6932 03/05 13:01:55 - mmengine - INFO - Epoch(train) [78][1400/5005] lr: 1.0000e-03 eta: 13:25:18 time: 0.4297 data_time: 0.0032 loss: 0.8192 03/05 13:02:38 - mmengine - INFO - Epoch(train) [78][1500/5005] lr: 1.0000e-03 eta: 13:24:36 time: 0.4235 data_time: 0.0034 loss: 0.8576 03/05 13:03:20 - mmengine - INFO - Epoch(train) [78][1600/5005] lr: 1.0000e-03 eta: 13:23:53 time: 0.4283 data_time: 0.0033 loss: 0.8513 03/05 13:03:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:04:03 - mmengine - INFO - Epoch(train) [78][1700/5005] lr: 1.0000e-03 eta: 13:23:11 time: 0.4316 data_time: 0.0033 loss: 0.6907 03/05 13:04:46 - mmengine - INFO - Epoch(train) [78][1800/5005] lr: 1.0000e-03 eta: 13:22:29 time: 0.4240 data_time: 0.0033 loss: 0.7955 03/05 13:05:28 - mmengine - INFO - Epoch(train) [78][1900/5005] lr: 1.0000e-03 eta: 13:21:46 time: 0.4225 data_time: 0.0034 loss: 0.6885 03/05 13:06:11 - mmengine - INFO - Epoch(train) [78][2000/5005] lr: 1.0000e-03 eta: 13:21:04 time: 0.4288 data_time: 0.0033 loss: 0.5457 03/05 13:06:54 - mmengine - INFO - Epoch(train) [78][2100/5005] lr: 1.0000e-03 eta: 13:20:21 time: 0.4187 data_time: 0.0032 loss: 0.6072 03/05 13:07:37 - mmengine - INFO - Epoch(train) [78][2200/5005] lr: 1.0000e-03 eta: 13:19:39 time: 0.4332 data_time: 0.0034 loss: 0.8908 03/05 13:08:20 - mmengine - INFO - Epoch(train) [78][2300/5005] lr: 1.0000e-03 eta: 13:18:56 time: 0.4259 data_time: 0.0034 loss: 0.7631 03/05 13:09:03 - mmengine - INFO - Epoch(train) [78][2400/5005] lr: 1.0000e-03 eta: 13:18:14 time: 0.4316 data_time: 0.0033 loss: 0.6774 03/05 13:09:46 - mmengine - INFO - Epoch(train) [78][2500/5005] lr: 1.0000e-03 eta: 13:17:31 time: 0.4278 data_time: 0.0034 loss: 0.8151 03/05 13:10:28 - mmengine - INFO - Epoch(train) [78][2600/5005] lr: 1.0000e-03 eta: 13:16:49 time: 0.4247 data_time: 0.0034 loss: 0.8086 03/05 13:10:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:11:11 - mmengine - INFO - Epoch(train) [78][2700/5005] lr: 1.0000e-03 eta: 13:16:07 time: 0.4214 data_time: 0.0034 loss: 0.7432 03/05 13:11:54 - mmengine - INFO - Epoch(train) [78][2800/5005] lr: 1.0000e-03 eta: 13:15:24 time: 0.4274 data_time: 0.0034 loss: 0.8407 03/05 13:12:37 - mmengine - INFO - Epoch(train) [78][2900/5005] lr: 1.0000e-03 eta: 13:14:42 time: 0.4359 data_time: 0.0034 loss: 0.6663 03/05 13:13:19 - mmengine - INFO - Epoch(train) [78][3000/5005] lr: 1.0000e-03 eta: 13:13:59 time: 0.4264 data_time: 0.0035 loss: 0.6983 03/05 13:14:02 - mmengine - INFO - Epoch(train) [78][3100/5005] lr: 1.0000e-03 eta: 13:13:17 time: 0.4290 data_time: 0.0032 loss: 0.7602 03/05 13:14:45 - mmengine - INFO - Epoch(train) [78][3200/5005] lr: 1.0000e-03 eta: 13:12:34 time: 0.4253 data_time: 0.0035 loss: 0.6521 03/05 13:15:28 - mmengine - INFO - Epoch(train) [78][3300/5005] lr: 1.0000e-03 eta: 13:11:52 time: 0.4245 data_time: 0.0036 loss: 0.7364 03/05 13:16:10 - mmengine - INFO - Epoch(train) [78][3400/5005] lr: 1.0000e-03 eta: 13:11:09 time: 0.4328 data_time: 0.0033 loss: 0.9057 03/05 13:16:53 - mmengine - INFO - Epoch(train) [78][3500/5005] lr: 1.0000e-03 eta: 13:10:27 time: 0.4296 data_time: 0.0039 loss: 0.7503 03/05 13:17:36 - mmengine - INFO - Epoch(train) [78][3600/5005] lr: 1.0000e-03 eta: 13:09:44 time: 0.4246 data_time: 0.0033 loss: 0.8347 03/05 13:17:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:18:18 - mmengine - INFO - Epoch(train) [78][3700/5005] lr: 1.0000e-03 eta: 13:09:02 time: 0.4272 data_time: 0.0034 loss: 0.8849 03/05 13:19:01 - mmengine - INFO - Epoch(train) [78][3800/5005] lr: 1.0000e-03 eta: 13:08:19 time: 0.4323 data_time: 0.0033 loss: 0.7238 03/05 13:19:44 - mmengine - INFO - Epoch(train) [78][3900/5005] lr: 1.0000e-03 eta: 13:07:37 time: 0.4244 data_time: 0.0033 loss: 0.9501 03/05 13:20:27 - mmengine - INFO - Epoch(train) [78][4000/5005] lr: 1.0000e-03 eta: 13:06:55 time: 0.4261 data_time: 0.0033 loss: 0.8442 03/05 13:21:09 - mmengine - INFO - Epoch(train) [78][4100/5005] lr: 1.0000e-03 eta: 13:06:12 time: 0.4277 data_time: 0.0033 loss: 0.6738 03/05 13:21:52 - mmengine - INFO - Epoch(train) [78][4200/5005] lr: 1.0000e-03 eta: 13:05:30 time: 0.4255 data_time: 0.0032 loss: 0.6143 03/05 13:22:35 - mmengine - INFO - Epoch(train) [78][4300/5005] lr: 1.0000e-03 eta: 13:04:47 time: 0.4259 data_time: 0.0032 loss: 0.6769 03/05 13:23:17 - mmengine - INFO - Epoch(train) [78][4400/5005] lr: 1.0000e-03 eta: 13:04:05 time: 0.4252 data_time: 0.0033 loss: 0.7908 03/05 13:24:00 - mmengine - INFO - Epoch(train) [78][4500/5005] lr: 1.0000e-03 eta: 13:03:22 time: 0.4287 data_time: 0.0033 loss: 0.7637 03/05 13:24:43 - mmengine - INFO - Epoch(train) [78][4600/5005] lr: 1.0000e-03 eta: 13:02:40 time: 0.4365 data_time: 0.0032 loss: 0.8103 03/05 13:24:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:25:26 - mmengine - INFO - Epoch(train) [78][4700/5005] lr: 1.0000e-03 eta: 13:01:57 time: 0.4245 data_time: 0.0038 loss: 0.8160 03/05 13:26:08 - mmengine - INFO - Epoch(train) [78][4800/5005] lr: 1.0000e-03 eta: 13:01:15 time: 0.4229 data_time: 0.0033 loss: 0.7263 03/05 13:26:51 - mmengine - INFO - Epoch(train) [78][4900/5005] lr: 1.0000e-03 eta: 13:00:32 time: 0.4254 data_time: 0.0032 loss: 0.8097 03/05 13:27:33 - mmengine - INFO - Epoch(train) [78][5000/5005] lr: 1.0000e-03 eta: 12:59:50 time: 0.4263 data_time: 0.0030 loss: 0.7326 03/05 13:27:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:27:36 - mmengine - INFO - Saving checkpoint at 78 epochs 03/05 13:27:48 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:00:08 time: 0.0296 data_time: 0.0005 03/05 13:28:02 - mmengine - INFO - Epoch(val) [78][196/196] accuracy/top1: 79.1840 accuracy/top5: 94.4000 03/05 13:28:49 - mmengine - INFO - Epoch(train) [79][ 100/5005] lr: 1.0000e-03 eta: 12:59:06 time: 0.4615 data_time: 0.0033 loss: 0.6055 03/05 13:29:32 - mmengine - INFO - Epoch(train) [79][ 200/5005] lr: 1.0000e-03 eta: 12:58:24 time: 0.4281 data_time: 0.0034 loss: 0.7067 03/05 13:30:15 - mmengine - INFO - Epoch(train) [79][ 300/5005] lr: 1.0000e-03 eta: 12:57:41 time: 0.4312 data_time: 0.0035 loss: 0.7224 03/05 13:30:57 - mmengine - INFO - Epoch(train) [79][ 400/5005] lr: 1.0000e-03 eta: 12:56:59 time: 0.4245 data_time: 0.0033 loss: 0.6651 03/05 13:31:40 - mmengine - INFO - Epoch(train) [79][ 500/5005] lr: 1.0000e-03 eta: 12:56:17 time: 0.4274 data_time: 0.0033 loss: 0.6346 03/05 13:32:23 - mmengine - INFO - Epoch(train) [79][ 600/5005] lr: 1.0000e-03 eta: 12:55:34 time: 0.4223 data_time: 0.0032 loss: 0.7022 03/05 13:32:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:33:06 - mmengine - INFO - Epoch(train) [79][ 700/5005] lr: 1.0000e-03 eta: 12:54:52 time: 0.4315 data_time: 0.0039 loss: 0.7107 03/05 13:33:49 - mmengine - INFO - Epoch(train) [79][ 800/5005] lr: 1.0000e-03 eta: 12:54:09 time: 0.4296 data_time: 0.0034 loss: 0.7015 03/05 13:34:32 - mmengine - INFO - Epoch(train) [79][ 900/5005] lr: 1.0000e-03 eta: 12:53:27 time: 0.4260 data_time: 0.0034 loss: 0.7992 03/05 13:35:15 - mmengine - INFO - Epoch(train) [79][1000/5005] lr: 1.0000e-03 eta: 12:52:44 time: 0.4247 data_time: 0.0035 loss: 0.6819 03/05 13:35:58 - mmengine - INFO - Epoch(train) [79][1100/5005] lr: 1.0000e-03 eta: 12:52:02 time: 0.4248 data_time: 0.0036 loss: 0.7144 03/05 13:36:41 - mmengine - INFO - Epoch(train) [79][1200/5005] lr: 1.0000e-03 eta: 12:51:20 time: 0.4268 data_time: 0.0034 loss: 0.6913 03/05 13:37:24 - mmengine - INFO - Epoch(train) [79][1300/5005] lr: 1.0000e-03 eta: 12:50:37 time: 0.4250 data_time: 0.0033 loss: 0.8165 03/05 13:38:07 - mmengine - INFO - Epoch(train) [79][1400/5005] lr: 1.0000e-03 eta: 12:49:55 time: 0.4290 data_time: 0.0036 loss: 0.6946 03/05 13:38:50 - mmengine - INFO - Epoch(train) [79][1500/5005] lr: 1.0000e-03 eta: 12:49:13 time: 0.4309 data_time: 0.0033 loss: 0.9303 03/05 13:39:33 - mmengine - INFO - Epoch(train) [79][1600/5005] lr: 1.0000e-03 eta: 12:48:30 time: 0.4331 data_time: 0.0037 loss: 0.7020 03/05 13:39:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:40:16 - mmengine - INFO - Epoch(train) [79][1700/5005] lr: 1.0000e-03 eta: 12:47:48 time: 0.4305 data_time: 0.0033 loss: 0.7951 03/05 13:40:59 - mmengine - INFO - Epoch(train) [79][1800/5005] lr: 1.0000e-03 eta: 12:47:05 time: 0.4336 data_time: 0.0033 loss: 0.6951 03/05 13:41:42 - mmengine - INFO - Epoch(train) [79][1900/5005] lr: 1.0000e-03 eta: 12:46:23 time: 0.4323 data_time: 0.0034 loss: 0.6628 03/05 13:42:25 - mmengine - INFO - Epoch(train) [79][2000/5005] lr: 1.0000e-03 eta: 12:45:41 time: 0.4270 data_time: 0.0036 loss: 0.7370 03/05 13:43:09 - mmengine - INFO - Epoch(train) [79][2100/5005] lr: 1.0000e-03 eta: 12:44:58 time: 0.4331 data_time: 0.0032 loss: 0.9417 03/05 13:43:52 - mmengine - INFO - Epoch(train) [79][2200/5005] lr: 1.0000e-03 eta: 12:44:16 time: 0.4249 data_time: 0.0036 loss: 0.8293 03/05 13:44:35 - mmengine - INFO - Epoch(train) [79][2300/5005] lr: 1.0000e-03 eta: 12:43:34 time: 0.4264 data_time: 0.0035 loss: 0.7536 03/05 13:45:18 - mmengine - INFO - Epoch(train) [79][2400/5005] lr: 1.0000e-03 eta: 12:42:51 time: 0.4286 data_time: 0.0033 loss: 0.7893 03/05 13:46:01 - mmengine - INFO - Epoch(train) [79][2500/5005] lr: 1.0000e-03 eta: 12:42:09 time: 0.4288 data_time: 0.0033 loss: 0.7347 03/05 13:46:44 - mmengine - INFO - Epoch(train) [79][2600/5005] lr: 1.0000e-03 eta: 12:41:27 time: 0.4284 data_time: 0.0034 loss: 0.7278 03/05 13:46:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:47:27 - mmengine - INFO - Epoch(train) [79][2700/5005] lr: 1.0000e-03 eta: 12:40:44 time: 0.4291 data_time: 0.0034 loss: 0.6827 03/05 13:48:10 - mmengine - INFO - Epoch(train) [79][2800/5005] lr: 1.0000e-03 eta: 12:40:02 time: 0.4292 data_time: 0.0036 loss: 0.7432 03/05 13:48:53 - mmengine - INFO - Epoch(train) [79][2900/5005] lr: 1.0000e-03 eta: 12:39:19 time: 0.4349 data_time: 0.0035 loss: 0.6622 03/05 13:49:36 - mmengine - INFO - Epoch(train) [79][3000/5005] lr: 1.0000e-03 eta: 12:38:37 time: 0.4242 data_time: 0.0033 loss: 0.9119 03/05 13:50:19 - mmengine - INFO - Epoch(train) [79][3100/5005] lr: 1.0000e-03 eta: 12:37:55 time: 0.4363 data_time: 0.0032 loss: 0.8762 03/05 13:51:02 - mmengine - INFO - Epoch(train) [79][3200/5005] lr: 1.0000e-03 eta: 12:37:12 time: 0.4286 data_time: 0.0036 loss: 0.7005 03/05 13:51:46 - mmengine - INFO - Epoch(train) [79][3300/5005] lr: 1.0000e-03 eta: 12:36:30 time: 0.4333 data_time: 0.0036 loss: 0.6827 03/05 13:52:29 - mmengine - INFO - Epoch(train) [79][3400/5005] lr: 1.0000e-03 eta: 12:35:48 time: 0.4322 data_time: 0.0032 loss: 0.7539 03/05 13:53:12 - mmengine - INFO - Epoch(train) [79][3500/5005] lr: 1.0000e-03 eta: 12:35:05 time: 0.4336 data_time: 0.0035 loss: 0.6345 03/05 13:53:55 - mmengine - INFO - Epoch(train) [79][3600/5005] lr: 1.0000e-03 eta: 12:34:23 time: 0.4333 data_time: 0.0033 loss: 0.6879 03/05 13:54:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 13:54:38 - mmengine - INFO - Epoch(train) [79][3700/5005] lr: 1.0000e-03 eta: 12:33:41 time: 0.4280 data_time: 0.0034 loss: 0.6061 03/05 13:55:22 - mmengine - INFO - Epoch(train) [79][3800/5005] lr: 1.0000e-03 eta: 12:32:58 time: 0.4247 data_time: 0.0035 loss: 0.7669 03/05 13:56:05 - mmengine - INFO - Epoch(train) [79][3900/5005] lr: 1.0000e-03 eta: 12:32:16 time: 0.4310 data_time: 0.0034 loss: 0.8505 03/05 13:56:48 - mmengine - INFO - Epoch(train) [79][4000/5005] lr: 1.0000e-03 eta: 12:31:33 time: 0.4289 data_time: 0.0034 loss: 0.7707 03/05 13:57:31 - mmengine - INFO - Epoch(train) [79][4100/5005] lr: 1.0000e-03 eta: 12:30:51 time: 0.4307 data_time: 0.0033 loss: 0.7174 03/05 13:58:14 - mmengine - INFO - Epoch(train) [79][4200/5005] lr: 1.0000e-03 eta: 12:30:09 time: 0.4313 data_time: 0.0036 loss: 0.6705 03/05 13:58:57 - mmengine - INFO - Epoch(train) [79][4300/5005] lr: 1.0000e-03 eta: 12:29:26 time: 0.4354 data_time: 0.0034 loss: 0.6613 03/05 13:59:40 - mmengine - INFO - Epoch(train) [79][4400/5005] lr: 1.0000e-03 eta: 12:28:44 time: 0.4282 data_time: 0.0032 loss: 0.7007 03/05 14:00:24 - mmengine - INFO - Epoch(train) [79][4500/5005] lr: 1.0000e-03 eta: 12:28:02 time: 0.4275 data_time: 0.0033 loss: 0.8439 03/05 14:01:07 - mmengine - INFO - Epoch(train) [79][4600/5005] lr: 1.0000e-03 eta: 12:27:19 time: 0.4329 data_time: 0.0035 loss: 0.7628 03/05 14:01:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:01:50 - mmengine - INFO - Epoch(train) [79][4700/5005] lr: 1.0000e-03 eta: 12:26:37 time: 0.4261 data_time: 0.0033 loss: 0.6824 03/05 14:02:33 - mmengine - INFO - Epoch(train) [79][4800/5005] lr: 1.0000e-03 eta: 12:25:55 time: 0.4251 data_time: 0.0033 loss: 0.8538 03/05 14:03:16 - mmengine - INFO - Epoch(train) [79][4900/5005] lr: 1.0000e-03 eta: 12:25:12 time: 0.4292 data_time: 0.0034 loss: 0.8883 03/05 14:03:59 - mmengine - INFO - Epoch(train) [79][5000/5005] lr: 1.0000e-03 eta: 12:24:30 time: 0.4281 data_time: 0.0033 loss: 0.7170 03/05 14:04:01 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:04:02 - mmengine - INFO - Saving checkpoint at 79 epochs 03/05 14:04:14 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:00:08 time: 0.0297 data_time: 0.0005 03/05 14:04:28 - mmengine - INFO - Epoch(val) [79][196/196] accuracy/top1: 79.2380 accuracy/top5: 94.5020 03/05 14:05:15 - mmengine - INFO - Epoch(train) [80][ 100/5005] lr: 1.0000e-03 eta: 12:23:46 time: 0.4287 data_time: 0.0036 loss: 0.8416 03/05 14:05:58 - mmengine - INFO - Epoch(train) [80][ 200/5005] lr: 1.0000e-03 eta: 12:23:04 time: 0.4271 data_time: 0.0036 loss: 0.6358 03/05 14:06:41 - mmengine - INFO - Epoch(train) [80][ 300/5005] lr: 1.0000e-03 eta: 12:22:22 time: 0.4319 data_time: 0.0038 loss: 0.7419 03/05 14:07:24 - mmengine - INFO - Epoch(train) [80][ 400/5005] lr: 1.0000e-03 eta: 12:21:39 time: 0.4284 data_time: 0.0037 loss: 0.8128 03/05 14:08:07 - mmengine - INFO - Epoch(train) [80][ 500/5005] lr: 1.0000e-03 eta: 12:20:57 time: 0.4315 data_time: 0.0033 loss: 0.7301 03/05 14:08:50 - mmengine - INFO - Epoch(train) [80][ 600/5005] lr: 1.0000e-03 eta: 12:20:14 time: 0.4313 data_time: 0.0035 loss: 0.7274 03/05 14:08:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:09:34 - mmengine - INFO - Epoch(train) [80][ 700/5005] lr: 1.0000e-03 eta: 12:19:32 time: 0.4339 data_time: 0.0036 loss: 0.7294 03/05 14:10:16 - mmengine - INFO - Epoch(train) [80][ 800/5005] lr: 1.0000e-03 eta: 12:18:50 time: 0.4296 data_time: 0.0037 loss: 0.6624 03/05 14:10:59 - mmengine - INFO - Epoch(train) [80][ 900/5005] lr: 1.0000e-03 eta: 12:18:07 time: 0.4232 data_time: 0.0034 loss: 0.7806 03/05 14:11:43 - mmengine - INFO - Epoch(train) [80][1000/5005] lr: 1.0000e-03 eta: 12:17:25 time: 0.4309 data_time: 0.0037 loss: 0.7152 03/05 14:12:26 - mmengine - INFO - Epoch(train) [80][1100/5005] lr: 1.0000e-03 eta: 12:16:43 time: 0.4257 data_time: 0.0035 loss: 0.6619 03/05 14:13:09 - mmengine - INFO - Epoch(train) [80][1200/5005] lr: 1.0000e-03 eta: 12:16:00 time: 0.4255 data_time: 0.0038 loss: 0.6592 03/05 14:13:52 - mmengine - INFO - Epoch(train) [80][1300/5005] lr: 1.0000e-03 eta: 12:15:18 time: 0.4344 data_time: 0.0033 loss: 0.7693 03/05 14:14:35 - mmengine - INFO - Epoch(train) [80][1400/5005] lr: 1.0000e-03 eta: 12:14:35 time: 0.4284 data_time: 0.0034 loss: 0.6104 03/05 14:15:18 - mmengine - INFO - Epoch(train) [80][1500/5005] lr: 1.0000e-03 eta: 12:13:53 time: 0.4297 data_time: 0.0036 loss: 0.7104 03/05 14:16:01 - mmengine - INFO - Epoch(train) [80][1600/5005] lr: 1.0000e-03 eta: 12:13:11 time: 0.4309 data_time: 0.0034 loss: 0.6641 03/05 14:16:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:16:44 - mmengine - INFO - Epoch(train) [80][1700/5005] lr: 1.0000e-03 eta: 12:12:28 time: 0.4308 data_time: 0.0034 loss: 0.6293 03/05 14:17:27 - mmengine - INFO - Epoch(train) [80][1800/5005] lr: 1.0000e-03 eta: 12:11:46 time: 0.4282 data_time: 0.0033 loss: 0.6933 03/05 14:18:10 - mmengine - INFO - Epoch(train) [80][1900/5005] lr: 1.0000e-03 eta: 12:11:03 time: 0.4300 data_time: 0.0034 loss: 0.7528 03/05 14:18:53 - mmengine - INFO - Epoch(train) [80][2000/5005] lr: 1.0000e-03 eta: 12:10:21 time: 0.4294 data_time: 0.0036 loss: 0.7714 03/05 14:19:36 - mmengine - INFO - Epoch(train) [80][2100/5005] lr: 1.0000e-03 eta: 12:09:39 time: 0.4259 data_time: 0.0035 loss: 0.6942 03/05 14:20:19 - mmengine - INFO - Epoch(train) [80][2200/5005] lr: 1.0000e-03 eta: 12:08:56 time: 0.4284 data_time: 0.0035 loss: 0.8031 03/05 14:21:02 - mmengine - INFO - Epoch(train) [80][2300/5005] lr: 1.0000e-03 eta: 12:08:14 time: 0.4264 data_time: 0.0035 loss: 0.7736 03/05 14:21:45 - mmengine - INFO - Epoch(train) [80][2400/5005] lr: 1.0000e-03 eta: 12:07:31 time: 0.4258 data_time: 0.0034 loss: 0.7716 03/05 14:22:28 - mmengine - INFO - Epoch(train) [80][2500/5005] lr: 1.0000e-03 eta: 12:06:49 time: 0.4244 data_time: 0.0033 loss: 0.7375 03/05 14:23:11 - mmengine - INFO - Epoch(train) [80][2600/5005] lr: 1.0000e-03 eta: 12:06:07 time: 0.4298 data_time: 0.0034 loss: 0.6956 03/05 14:23:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:23:54 - mmengine - INFO - Epoch(train) [80][2700/5005] lr: 1.0000e-03 eta: 12:05:24 time: 0.4244 data_time: 0.0033 loss: 0.7681 03/05 14:24:37 - mmengine - INFO - Epoch(train) [80][2800/5005] lr: 1.0000e-03 eta: 12:04:42 time: 0.4292 data_time: 0.0034 loss: 0.8289 03/05 14:25:21 - mmengine - INFO - Epoch(train) [80][2900/5005] lr: 1.0000e-03 eta: 12:03:59 time: 0.4322 data_time: 0.0036 loss: 0.6574 03/05 14:26:04 - mmengine - INFO - Epoch(train) [80][3000/5005] lr: 1.0000e-03 eta: 12:03:17 time: 0.4299 data_time: 0.0033 loss: 0.7337 03/05 14:26:47 - mmengine - INFO - Epoch(train) [80][3100/5005] lr: 1.0000e-03 eta: 12:02:35 time: 0.4270 data_time: 0.0035 loss: 0.7888 03/05 14:27:30 - mmengine - INFO - Epoch(train) [80][3200/5005] lr: 1.0000e-03 eta: 12:01:52 time: 0.4297 data_time: 0.0033 loss: 0.7258 03/05 14:28:13 - mmengine - INFO - Epoch(train) [80][3300/5005] lr: 1.0000e-03 eta: 12:01:10 time: 0.4267 data_time: 0.0034 loss: 0.7853 03/05 14:28:56 - mmengine - INFO - Epoch(train) [80][3400/5005] lr: 1.0000e-03 eta: 12:00:27 time: 0.4319 data_time: 0.0034 loss: 0.7835 03/05 14:29:39 - mmengine - INFO - Epoch(train) [80][3500/5005] lr: 1.0000e-03 eta: 11:59:45 time: 0.4256 data_time: 0.0034 loss: 0.7467 03/05 14:30:22 - mmengine - INFO - Epoch(train) [80][3600/5005] lr: 1.0000e-03 eta: 11:59:03 time: 0.4190 data_time: 0.0033 loss: 0.7493 03/05 14:30:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:31:05 - mmengine - INFO - Epoch(train) [80][3700/5005] lr: 1.0000e-03 eta: 11:58:20 time: 0.4212 data_time: 0.0034 loss: 0.8789 03/05 14:31:47 - mmengine - INFO - Epoch(train) [80][3800/5005] lr: 1.0000e-03 eta: 11:57:38 time: 0.4224 data_time: 0.0035 loss: 0.6768 03/05 14:32:30 - mmengine - INFO - Epoch(train) [80][3900/5005] lr: 1.0000e-03 eta: 11:56:55 time: 0.4266 data_time: 0.0034 loss: 0.7461 03/05 14:33:13 - mmengine - INFO - Epoch(train) [80][4000/5005] lr: 1.0000e-03 eta: 11:56:13 time: 0.4268 data_time: 0.0033 loss: 0.8542 03/05 14:33:56 - mmengine - INFO - Epoch(train) [80][4100/5005] lr: 1.0000e-03 eta: 11:55:30 time: 0.4302 data_time: 0.0032 loss: 0.6071 03/05 14:34:38 - mmengine - INFO - Epoch(train) [80][4200/5005] lr: 1.0000e-03 eta: 11:54:48 time: 0.4204 data_time: 0.0035 loss: 0.7570 03/05 14:35:21 - mmengine - INFO - Epoch(train) [80][4300/5005] lr: 1.0000e-03 eta: 11:54:05 time: 0.4272 data_time: 0.0033 loss: 0.7111 03/05 14:36:03 - mmengine - INFO - Epoch(train) [80][4400/5005] lr: 1.0000e-03 eta: 11:53:23 time: 0.4219 data_time: 0.0032 loss: 0.7329 03/05 14:36:46 - mmengine - INFO - Epoch(train) [80][4500/5005] lr: 1.0000e-03 eta: 11:52:40 time: 0.4211 data_time: 0.0033 loss: 0.6577 03/05 14:37:28 - mmengine - INFO - Epoch(train) [80][4600/5005] lr: 1.0000e-03 eta: 11:51:58 time: 0.4216 data_time: 0.0033 loss: 0.6980 03/05 14:37:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:38:11 - mmengine - INFO - Epoch(train) [80][4700/5005] lr: 1.0000e-03 eta: 11:51:15 time: 0.4216 data_time: 0.0034 loss: 0.7876 03/05 14:38:54 - mmengine - INFO - Epoch(train) [80][4800/5005] lr: 1.0000e-03 eta: 11:50:33 time: 0.4256 data_time: 0.0035 loss: 0.5533 03/05 14:39:37 - mmengine - INFO - Epoch(train) [80][4900/5005] lr: 1.0000e-03 eta: 11:49:50 time: 0.4225 data_time: 0.0034 loss: 0.6493 03/05 14:40:19 - mmengine - INFO - Epoch(train) [80][5000/5005] lr: 1.0000e-03 eta: 11:49:08 time: 0.4252 data_time: 0.0033 loss: 0.7716 03/05 14:40:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:40:22 - mmengine - INFO - Saving checkpoint at 80 epochs 03/05 14:40:34 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:00:08 time: 0.0296 data_time: 0.0005 03/05 14:40:48 - mmengine - INFO - Epoch(val) [80][196/196] accuracy/top1: 79.2340 accuracy/top5: 94.4640 03/05 14:41:34 - mmengine - INFO - Epoch(train) [81][ 100/5005] lr: 1.0000e-03 eta: 11:48:24 time: 0.4243 data_time: 0.0033 loss: 0.7536 03/05 14:42:17 - mmengine - INFO - Epoch(train) [81][ 200/5005] lr: 1.0000e-03 eta: 11:47:41 time: 0.4274 data_time: 0.0035 loss: 0.6534 03/05 14:43:00 - mmengine - INFO - Epoch(train) [81][ 300/5005] lr: 1.0000e-03 eta: 11:46:59 time: 0.4259 data_time: 0.0034 loss: 0.6338 03/05 14:43:43 - mmengine - INFO - Epoch(train) [81][ 400/5005] lr: 1.0000e-03 eta: 11:46:17 time: 0.4260 data_time: 0.0033 loss: 0.6645 03/05 14:44:26 - mmengine - INFO - Epoch(train) [81][ 500/5005] lr: 1.0000e-03 eta: 11:45:34 time: 0.4264 data_time: 0.0035 loss: 0.7213 03/05 14:45:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:45:09 - mmengine - INFO - Epoch(train) [81][ 600/5005] lr: 1.0000e-03 eta: 11:44:52 time: 0.4285 data_time: 0.0035 loss: 0.7396 03/05 14:45:51 - mmengine - INFO - Epoch(train) [81][ 700/5005] lr: 1.0000e-03 eta: 11:44:09 time: 0.4232 data_time: 0.0033 loss: 0.5736 03/05 14:46:34 - mmengine - INFO - Epoch(train) [81][ 800/5005] lr: 1.0000e-03 eta: 11:43:27 time: 0.4273 data_time: 0.0034 loss: 0.7810 03/05 14:47:17 - mmengine - INFO - Epoch(train) [81][ 900/5005] lr: 1.0000e-03 eta: 11:42:44 time: 0.4270 data_time: 0.0035 loss: 0.6786 03/05 14:48:00 - mmengine - INFO - Epoch(train) [81][1000/5005] lr: 1.0000e-03 eta: 11:42:02 time: 0.4276 data_time: 0.0033 loss: 0.8026 03/05 14:48:43 - mmengine - INFO - Epoch(train) [81][1100/5005] lr: 1.0000e-03 eta: 11:41:19 time: 0.4383 data_time: 0.0033 loss: 0.7025 03/05 14:49:26 - mmengine - INFO - Epoch(train) [81][1200/5005] lr: 1.0000e-03 eta: 11:40:37 time: 0.4273 data_time: 0.0034 loss: 0.7334 03/05 14:50:08 - mmengine - INFO - Epoch(train) [81][1300/5005] lr: 1.0000e-03 eta: 11:39:54 time: 0.4259 data_time: 0.0032 loss: 0.8042 03/05 14:50:51 - mmengine - INFO - Epoch(train) [81][1400/5005] lr: 1.0000e-03 eta: 11:39:12 time: 0.4289 data_time: 0.0037 loss: 0.7030 03/05 14:51:34 - mmengine - INFO - Epoch(train) [81][1500/5005] lr: 1.0000e-03 eta: 11:38:29 time: 0.4279 data_time: 0.0034 loss: 0.7195 03/05 14:52:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:52:17 - mmengine - INFO - Epoch(train) [81][1600/5005] lr: 1.0000e-03 eta: 11:37:47 time: 0.4207 data_time: 0.0035 loss: 0.9276 03/05 14:52:59 - mmengine - INFO - Epoch(train) [81][1700/5005] lr: 1.0000e-03 eta: 11:37:04 time: 0.4265 data_time: 0.0033 loss: 0.6927 03/05 14:53:42 - mmengine - INFO - Epoch(train) [81][1800/5005] lr: 1.0000e-03 eta: 11:36:22 time: 0.4225 data_time: 0.0036 loss: 0.7321 03/05 14:54:25 - mmengine - INFO - Epoch(train) [81][1900/5005] lr: 1.0000e-03 eta: 11:35:39 time: 0.4265 data_time: 0.0034 loss: 0.7353 03/05 14:55:07 - mmengine - INFO - Epoch(train) [81][2000/5005] lr: 1.0000e-03 eta: 11:34:57 time: 0.4248 data_time: 0.0034 loss: 0.8259 03/05 14:55:50 - mmengine - INFO - Epoch(train) [81][2100/5005] lr: 1.0000e-03 eta: 11:34:14 time: 0.4250 data_time: 0.0037 loss: 0.6587 03/05 14:56:32 - mmengine - INFO - Epoch(train) [81][2200/5005] lr: 1.0000e-03 eta: 11:33:32 time: 0.4250 data_time: 0.0033 loss: 0.7201 03/05 14:57:15 - mmengine - INFO - Epoch(train) [81][2300/5005] lr: 1.0000e-03 eta: 11:32:49 time: 0.4288 data_time: 0.0032 loss: 0.6746 03/05 14:57:58 - mmengine - INFO - Epoch(train) [81][2400/5005] lr: 1.0000e-03 eta: 11:32:07 time: 0.4255 data_time: 0.0036 loss: 0.6731 03/05 14:58:41 - mmengine - INFO - Epoch(train) [81][2500/5005] lr: 1.0000e-03 eta: 11:31:24 time: 0.4246 data_time: 0.0034 loss: 0.7266 03/05 14:59:23 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 14:59:23 - mmengine - INFO - Epoch(train) [81][2600/5005] lr: 1.0000e-03 eta: 11:30:42 time: 0.4304 data_time: 0.0033 loss: 0.6427 03/05 15:00:06 - mmengine - INFO - Epoch(train) [81][2700/5005] lr: 1.0000e-03 eta: 11:30:00 time: 0.4257 data_time: 0.0034 loss: 0.5864 03/05 15:00:49 - mmengine - INFO - Epoch(train) [81][2800/5005] lr: 1.0000e-03 eta: 11:29:17 time: 0.4257 data_time: 0.0034 loss: 0.6633 03/05 15:01:32 - mmengine - INFO - Epoch(train) [81][2900/5005] lr: 1.0000e-03 eta: 11:28:35 time: 0.4245 data_time: 0.0034 loss: 0.7514 03/05 15:02:15 - mmengine - INFO - Epoch(train) [81][3000/5005] lr: 1.0000e-03 eta: 11:27:52 time: 0.4283 data_time: 0.0034 loss: 0.7327 03/05 15:02:57 - mmengine - INFO - Epoch(train) [81][3100/5005] lr: 1.0000e-03 eta: 11:27:10 time: 0.4277 data_time: 0.0033 loss: 0.8340 03/05 15:03:40 - mmengine - INFO - Epoch(train) [81][3200/5005] lr: 1.0000e-03 eta: 11:26:27 time: 0.4252 data_time: 0.0033 loss: 0.7406 03/05 15:04:22 - mmengine - INFO - Epoch(train) [81][3300/5005] lr: 1.0000e-03 eta: 11:25:45 time: 0.4249 data_time: 0.0033 loss: 0.6939 03/05 15:05:05 - mmengine - INFO - Epoch(train) [81][3400/5005] lr: 1.0000e-03 eta: 11:25:02 time: 0.4264 data_time: 0.0035 loss: 0.7608 03/05 15:05:48 - mmengine - INFO - Epoch(train) [81][3500/5005] lr: 1.0000e-03 eta: 11:24:20 time: 0.4260 data_time: 0.0033 loss: 0.7559 03/05 15:06:31 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:06:31 - mmengine - INFO - Epoch(train) [81][3600/5005] lr: 1.0000e-03 eta: 11:23:37 time: 0.4363 data_time: 0.0037 loss: 0.6449 03/05 15:07:13 - mmengine - INFO - Epoch(train) [81][3700/5005] lr: 1.0000e-03 eta: 11:22:55 time: 0.4303 data_time: 0.0036 loss: 0.7726 03/05 15:07:56 - mmengine - INFO - Epoch(train) [81][3800/5005] lr: 1.0000e-03 eta: 11:22:12 time: 0.4258 data_time: 0.0035 loss: 0.7871 03/05 15:08:39 - mmengine - INFO - Epoch(train) [81][3900/5005] lr: 1.0000e-03 eta: 11:21:30 time: 0.4276 data_time: 0.0033 loss: 0.6297 03/05 15:09:21 - mmengine - INFO - Epoch(train) [81][4000/5005] lr: 1.0000e-03 eta: 11:20:47 time: 0.4211 data_time: 0.0036 loss: 0.6783 03/05 15:10:04 - mmengine - INFO - Epoch(train) [81][4100/5005] lr: 1.0000e-03 eta: 11:20:05 time: 0.4225 data_time: 0.0034 loss: 0.7570 03/05 15:10:47 - mmengine - INFO - Epoch(train) [81][4200/5005] lr: 1.0000e-03 eta: 11:19:22 time: 0.4199 data_time: 0.0035 loss: 0.8334 03/05 15:11:29 - mmengine - INFO - Epoch(train) [81][4300/5005] lr: 1.0000e-03 eta: 11:18:40 time: 0.4290 data_time: 0.0034 loss: 0.7355 03/05 15:12:12 - mmengine - INFO - Epoch(train) [81][4400/5005] lr: 1.0000e-03 eta: 11:17:57 time: 0.4211 data_time: 0.0033 loss: 0.6728 03/05 15:12:55 - mmengine - INFO - Epoch(train) [81][4500/5005] lr: 1.0000e-03 eta: 11:17:15 time: 0.4277 data_time: 0.0032 loss: 0.8142 03/05 15:13:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:13:38 - mmengine - INFO - Epoch(train) [81][4600/5005] lr: 1.0000e-03 eta: 11:16:32 time: 0.4246 data_time: 0.0034 loss: 0.6318 03/05 15:14:20 - mmengine - INFO - Epoch(train) [81][4700/5005] lr: 1.0000e-03 eta: 11:15:50 time: 0.4265 data_time: 0.0033 loss: 0.6482 03/05 15:15:03 - mmengine - INFO - Epoch(train) [81][4800/5005] lr: 1.0000e-03 eta: 11:15:07 time: 0.4237 data_time: 0.0033 loss: 0.7759 03/05 15:15:46 - mmengine - INFO - Epoch(train) [81][4900/5005] lr: 1.0000e-03 eta: 11:14:25 time: 0.4218 data_time: 0.0034 loss: 0.6882 03/05 15:16:28 - mmengine - INFO - Epoch(train) [81][5000/5005] lr: 1.0000e-03 eta: 11:13:42 time: 0.4234 data_time: 0.0032 loss: 0.6846 03/05 15:16:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:16:31 - mmengine - INFO - Saving checkpoint at 81 epochs 03/05 15:16:43 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:00:08 time: 0.0283 data_time: 0.0005 03/05 15:16:57 - mmengine - INFO - Epoch(val) [81][196/196] accuracy/top1: 79.0860 accuracy/top5: 94.4320 03/05 15:17:43 - mmengine - INFO - Epoch(train) [82][ 100/5005] lr: 1.0000e-03 eta: 11:12:58 time: 0.4587 data_time: 0.0034 loss: 0.7422 03/05 15:18:26 - mmengine - INFO - Epoch(train) [82][ 200/5005] lr: 1.0000e-03 eta: 11:12:16 time: 0.4248 data_time: 0.0035 loss: 0.7431 03/05 15:19:09 - mmengine - INFO - Epoch(train) [82][ 300/5005] lr: 1.0000e-03 eta: 11:11:33 time: 0.4260 data_time: 0.0034 loss: 0.7091 03/05 15:19:52 - mmengine - INFO - Epoch(train) [82][ 400/5005] lr: 1.0000e-03 eta: 11:10:51 time: 0.4265 data_time: 0.0033 loss: 0.6769 03/05 15:20:35 - mmengine - INFO - Epoch(train) [82][ 500/5005] lr: 1.0000e-03 eta: 11:10:09 time: 0.4232 data_time: 0.0034 loss: 0.7558 03/05 15:21:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:21:18 - mmengine - INFO - Epoch(train) [82][ 600/5005] lr: 1.0000e-03 eta: 11:09:26 time: 0.4355 data_time: 0.0034 loss: 0.6675 03/05 15:22:00 - mmengine - INFO - Epoch(train) [82][ 700/5005] lr: 1.0000e-03 eta: 11:08:44 time: 0.4250 data_time: 0.0035 loss: 0.7519 03/05 15:22:43 - mmengine - INFO - Epoch(train) [82][ 800/5005] lr: 1.0000e-03 eta: 11:08:01 time: 0.4302 data_time: 0.0035 loss: 0.5956 03/05 15:23:26 - mmengine - INFO - Epoch(train) [82][ 900/5005] lr: 1.0000e-03 eta: 11:07:19 time: 0.4258 data_time: 0.0035 loss: 0.6254 03/05 15:24:09 - mmengine - INFO - Epoch(train) [82][1000/5005] lr: 1.0000e-03 eta: 11:06:36 time: 0.4276 data_time: 0.0037 loss: 0.6885 03/05 15:24:52 - mmengine - INFO - Epoch(train) [82][1100/5005] lr: 1.0000e-03 eta: 11:05:54 time: 0.4233 data_time: 0.0034 loss: 0.7553 03/05 15:25:35 - mmengine - INFO - Epoch(train) [82][1200/5005] lr: 1.0000e-03 eta: 11:05:11 time: 0.4296 data_time: 0.0036 loss: 0.7638 03/05 15:26:18 - mmengine - INFO - Epoch(train) [82][1300/5005] lr: 1.0000e-03 eta: 11:04:29 time: 0.4262 data_time: 0.0034 loss: 0.7860 03/05 15:27:00 - mmengine - INFO - Epoch(train) [82][1400/5005] lr: 1.0000e-03 eta: 11:03:47 time: 0.4233 data_time: 0.0035 loss: 0.8130 03/05 15:27:43 - mmengine - INFO - Epoch(train) [82][1500/5005] lr: 1.0000e-03 eta: 11:03:04 time: 0.4354 data_time: 0.0036 loss: 0.6728 03/05 15:28:24 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:28:26 - mmengine - INFO - Epoch(train) [82][1600/5005] lr: 1.0000e-03 eta: 11:02:22 time: 0.4316 data_time: 0.0036 loss: 0.6288 03/05 15:29:09 - mmengine - INFO - Epoch(train) [82][1700/5005] lr: 1.0000e-03 eta: 11:01:39 time: 0.4315 data_time: 0.0037 loss: 0.7798 03/05 15:29:52 - mmengine - INFO - Epoch(train) [82][1800/5005] lr: 1.0000e-03 eta: 11:00:57 time: 0.4253 data_time: 0.0033 loss: 0.7646 03/05 15:30:34 - mmengine - INFO - Epoch(train) [82][1900/5005] lr: 1.0000e-03 eta: 11:00:14 time: 0.4236 data_time: 0.0035 loss: 0.5972 03/05 15:31:17 - mmengine - INFO - Epoch(train) [82][2000/5005] lr: 1.0000e-03 eta: 10:59:32 time: 0.4288 data_time: 0.0037 loss: 0.7787 03/05 15:32:00 - mmengine - INFO - Epoch(train) [82][2100/5005] lr: 1.0000e-03 eta: 10:58:49 time: 0.4285 data_time: 0.0038 loss: 0.8013 03/05 15:32:43 - mmengine - INFO - Epoch(train) [82][2200/5005] lr: 1.0000e-03 eta: 10:58:07 time: 0.4201 data_time: 0.0035 loss: 0.7868 03/05 15:33:26 - mmengine - INFO - Epoch(train) [82][2300/5005] lr: 1.0000e-03 eta: 10:57:24 time: 0.4357 data_time: 0.0032 loss: 0.7919 03/05 15:34:08 - mmengine - INFO - Epoch(train) [82][2400/5005] lr: 1.0000e-03 eta: 10:56:42 time: 0.4249 data_time: 0.0034 loss: 0.6635 03/05 15:34:51 - mmengine - INFO - Epoch(train) [82][2500/5005] lr: 1.0000e-03 eta: 10:55:59 time: 0.4256 data_time: 0.0033 loss: 0.6091 03/05 15:35:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:35:34 - mmengine - INFO - Epoch(train) [82][2600/5005] lr: 1.0000e-03 eta: 10:55:17 time: 0.4209 data_time: 0.0036 loss: 0.6935 03/05 15:36:17 - mmengine - INFO - Epoch(train) [82][2700/5005] lr: 1.0000e-03 eta: 10:54:34 time: 0.4297 data_time: 0.0035 loss: 0.8078 03/05 15:37:00 - mmengine - INFO - Epoch(train) [82][2800/5005] lr: 1.0000e-03 eta: 10:53:52 time: 0.4253 data_time: 0.0037 loss: 0.8347 03/05 15:37:43 - mmengine - INFO - Epoch(train) [82][2900/5005] lr: 1.0000e-03 eta: 10:53:10 time: 0.4253 data_time: 0.0033 loss: 0.7384 03/05 15:38:26 - mmengine - INFO - Epoch(train) [82][3000/5005] lr: 1.0000e-03 eta: 10:52:27 time: 0.4381 data_time: 0.0035 loss: 0.6534 03/05 15:39:09 - mmengine - INFO - Epoch(train) [82][3100/5005] lr: 1.0000e-03 eta: 10:51:45 time: 0.4332 data_time: 0.0033 loss: 0.7769 03/05 15:39:52 - mmengine - INFO - Epoch(train) [82][3200/5005] lr: 1.0000e-03 eta: 10:51:02 time: 0.4347 data_time: 0.0036 loss: 0.7555 03/05 15:40:35 - mmengine - INFO - Epoch(train) [82][3300/5005] lr: 1.0000e-03 eta: 10:50:20 time: 0.4271 data_time: 0.0034 loss: 0.6467 03/05 15:41:18 - mmengine - INFO - Epoch(train) [82][3400/5005] lr: 1.0000e-03 eta: 10:49:37 time: 0.4282 data_time: 0.0035 loss: 0.8168 03/05 15:42:00 - mmengine - INFO - Epoch(train) [82][3500/5005] lr: 1.0000e-03 eta: 10:48:55 time: 0.4236 data_time: 0.0033 loss: 0.6278 03/05 15:42:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:42:43 - mmengine - INFO - Epoch(train) [82][3600/5005] lr: 1.0000e-03 eta: 10:48:12 time: 0.4237 data_time: 0.0034 loss: 0.8696 03/05 15:43:26 - mmengine - INFO - Epoch(train) [82][3700/5005] lr: 1.0000e-03 eta: 10:47:30 time: 0.4265 data_time: 0.0034 loss: 0.6899 03/05 15:44:08 - mmengine - INFO - Epoch(train) [82][3800/5005] lr: 1.0000e-03 eta: 10:46:47 time: 0.4211 data_time: 0.0037 loss: 0.6867 03/05 15:44:51 - mmengine - INFO - Epoch(train) [82][3900/5005] lr: 1.0000e-03 eta: 10:46:05 time: 0.4248 data_time: 0.0033 loss: 0.8235 03/05 15:45:34 - mmengine - INFO - Epoch(train) [82][4000/5005] lr: 1.0000e-03 eta: 10:45:22 time: 0.4270 data_time: 0.0035 loss: 0.7193 03/05 15:46:17 - mmengine - INFO - Epoch(train) [82][4100/5005] lr: 1.0000e-03 eta: 10:44:40 time: 0.4228 data_time: 0.0033 loss: 0.7530 03/05 15:46:59 - mmengine - INFO - Epoch(train) [82][4200/5005] lr: 1.0000e-03 eta: 10:43:57 time: 0.4212 data_time: 0.0035 loss: 0.6023 03/05 15:47:42 - mmengine - INFO - Epoch(train) [82][4300/5005] lr: 1.0000e-03 eta: 10:43:15 time: 0.4299 data_time: 0.0035 loss: 0.6687 03/05 15:48:25 - mmengine - INFO - Epoch(train) [82][4400/5005] lr: 1.0000e-03 eta: 10:42:33 time: 0.4310 data_time: 0.0035 loss: 0.7017 03/05 15:49:08 - mmengine - INFO - Epoch(train) [82][4500/5005] lr: 1.0000e-03 eta: 10:41:50 time: 0.4191 data_time: 0.0035 loss: 0.6120 03/05 15:49:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:49:51 - mmengine - INFO - Epoch(train) [82][4600/5005] lr: 1.0000e-03 eta: 10:41:08 time: 0.4234 data_time: 0.0034 loss: 0.8116 03/05 15:50:34 - mmengine - INFO - Epoch(train) [82][4700/5005] lr: 1.0000e-03 eta: 10:40:25 time: 0.4327 data_time: 0.0033 loss: 0.7213 03/05 15:51:16 - mmengine - INFO - Epoch(train) [82][4800/5005] lr: 1.0000e-03 eta: 10:39:43 time: 0.4249 data_time: 0.0033 loss: 0.8835 03/05 15:51:59 - mmengine - INFO - Epoch(train) [82][4900/5005] lr: 1.0000e-03 eta: 10:39:00 time: 0.4271 data_time: 0.0035 loss: 0.7699 03/05 15:52:42 - mmengine - INFO - Epoch(train) [82][5000/5005] lr: 1.0000e-03 eta: 10:38:18 time: 0.4266 data_time: 0.0033 loss: 0.8024 03/05 15:52:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:52:45 - mmengine - INFO - Saving checkpoint at 82 epochs 03/05 15:52:57 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:00:08 time: 0.0275 data_time: 0.0005 03/05 15:53:11 - mmengine - INFO - Epoch(val) [82][196/196] accuracy/top1: 79.0940 accuracy/top5: 94.4540 03/05 15:53:57 - mmengine - INFO - Epoch(train) [83][ 100/5005] lr: 1.0000e-03 eta: 10:37:34 time: 0.4332 data_time: 0.0033 loss: 0.7903 03/05 15:54:40 - mmengine - INFO - Epoch(train) [83][ 200/5005] lr: 1.0000e-03 eta: 10:36:51 time: 0.4308 data_time: 0.0035 loss: 0.6149 03/05 15:55:23 - mmengine - INFO - Epoch(train) [83][ 300/5005] lr: 1.0000e-03 eta: 10:36:09 time: 0.4224 data_time: 0.0033 loss: 0.6869 03/05 15:56:06 - mmengine - INFO - Epoch(train) [83][ 400/5005] lr: 1.0000e-03 eta: 10:35:26 time: 0.4323 data_time: 0.0036 loss: 0.6919 03/05 15:56:48 - mmengine - INFO - Epoch(train) [83][ 500/5005] lr: 1.0000e-03 eta: 10:34:44 time: 0.4294 data_time: 0.0034 loss: 0.7465 03/05 15:57:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 15:57:32 - mmengine - INFO - Epoch(train) [83][ 600/5005] lr: 1.0000e-03 eta: 10:34:02 time: 0.4260 data_time: 0.0034 loss: 0.8022 03/05 15:58:14 - mmengine - INFO - Epoch(train) [83][ 700/5005] lr: 1.0000e-03 eta: 10:33:19 time: 0.4301 data_time: 0.0036 loss: 0.7613 03/05 15:58:57 - mmengine - INFO - Epoch(train) [83][ 800/5005] lr: 1.0000e-03 eta: 10:32:37 time: 0.4234 data_time: 0.0038 loss: 0.6835 03/05 15:59:40 - mmengine - INFO - Epoch(train) [83][ 900/5005] lr: 1.0000e-03 eta: 10:31:54 time: 0.4258 data_time: 0.0033 loss: 0.6601 03/05 16:00:23 - mmengine - INFO - Epoch(train) [83][1000/5005] lr: 1.0000e-03 eta: 10:31:12 time: 0.4309 data_time: 0.0033 loss: 0.8334 03/05 16:01:05 - mmengine - INFO - Epoch(train) [83][1100/5005] lr: 1.0000e-03 eta: 10:30:29 time: 0.4253 data_time: 0.0033 loss: 0.7511 03/05 16:01:48 - mmengine - INFO - Epoch(train) [83][1200/5005] lr: 1.0000e-03 eta: 10:29:47 time: 0.4215 data_time: 0.0035 loss: 0.6908 03/05 16:02:31 - mmengine - INFO - Epoch(train) [83][1300/5005] lr: 1.0000e-03 eta: 10:29:04 time: 0.4230 data_time: 0.0034 loss: 0.6087 03/05 16:03:14 - mmengine - INFO - Epoch(train) [83][1400/5005] lr: 1.0000e-03 eta: 10:28:22 time: 0.4246 data_time: 0.0033 loss: 0.6810 03/05 16:03:56 - mmengine - INFO - Epoch(train) [83][1500/5005] lr: 1.0000e-03 eta: 10:27:39 time: 0.4291 data_time: 0.0034 loss: 0.6395 03/05 16:04:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:04:39 - mmengine - INFO - Epoch(train) [83][1600/5005] lr: 1.0000e-03 eta: 10:26:57 time: 0.4296 data_time: 0.0036 loss: 0.6330 03/05 16:05:22 - mmengine - INFO - Epoch(train) [83][1700/5005] lr: 1.0000e-03 eta: 10:26:14 time: 0.4271 data_time: 0.0037 loss: 0.8275 03/05 16:06:05 - mmengine - INFO - Epoch(train) [83][1800/5005] lr: 1.0000e-03 eta: 10:25:32 time: 0.4250 data_time: 0.0034 loss: 0.5813 03/05 16:06:47 - mmengine - INFO - Epoch(train) [83][1900/5005] lr: 1.0000e-03 eta: 10:24:49 time: 0.4298 data_time: 0.0035 loss: 0.6617 03/05 16:07:30 - mmengine - INFO - Epoch(train) [83][2000/5005] lr: 1.0000e-03 eta: 10:24:07 time: 0.4285 data_time: 0.0032 loss: 0.8180 03/05 16:08:13 - mmengine - INFO - Epoch(train) [83][2100/5005] lr: 1.0000e-03 eta: 10:23:24 time: 0.4256 data_time: 0.0036 loss: 0.6844 03/05 16:08:56 - mmengine - INFO - Epoch(train) [83][2200/5005] lr: 1.0000e-03 eta: 10:22:42 time: 0.4431 data_time: 0.0036 loss: 0.8234 03/05 16:09:39 - mmengine - INFO - Epoch(train) [83][2300/5005] lr: 1.0000e-03 eta: 10:21:59 time: 0.4276 data_time: 0.0034 loss: 0.9762 03/05 16:10:21 - mmengine - INFO - Epoch(train) [83][2400/5005] lr: 1.0000e-03 eta: 10:21:17 time: 0.4252 data_time: 0.0035 loss: 0.7101 03/05 16:11:04 - mmengine - INFO - Epoch(train) [83][2500/5005] lr: 1.0000e-03 eta: 10:20:34 time: 0.4306 data_time: 0.0034 loss: 0.8682 03/05 16:11:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:11:47 - mmengine - INFO - Epoch(train) [83][2600/5005] lr: 1.0000e-03 eta: 10:19:52 time: 0.4356 data_time: 0.0036 loss: 0.7182 03/05 16:12:30 - mmengine - INFO - Epoch(train) [83][2700/5005] lr: 1.0000e-03 eta: 10:19:09 time: 0.4239 data_time: 0.0035 loss: 0.6655 03/05 16:13:13 - mmengine - INFO - Epoch(train) [83][2800/5005] lr: 1.0000e-03 eta: 10:18:27 time: 0.4290 data_time: 0.0035 loss: 0.6513 03/05 16:13:55 - mmengine - INFO - Epoch(train) [83][2900/5005] lr: 1.0000e-03 eta: 10:17:44 time: 0.4246 data_time: 0.0034 loss: 0.7933 03/05 16:14:38 - mmengine - INFO - Epoch(train) [83][3000/5005] lr: 1.0000e-03 eta: 10:17:02 time: 0.4235 data_time: 0.0036 loss: 0.6062 03/05 16:15:21 - mmengine - INFO - Epoch(train) [83][3100/5005] lr: 1.0000e-03 eta: 10:16:19 time: 0.4214 data_time: 0.0035 loss: 0.6767 03/05 16:16:03 - mmengine - INFO - Epoch(train) [83][3200/5005] lr: 1.0000e-03 eta: 10:15:37 time: 0.4220 data_time: 0.0034 loss: 0.7716 03/05 16:16:46 - mmengine - INFO - Epoch(train) [83][3300/5005] lr: 1.0000e-03 eta: 10:14:54 time: 0.4254 data_time: 0.0034 loss: 0.5785 03/05 16:17:29 - mmengine - INFO - Epoch(train) [83][3400/5005] lr: 1.0000e-03 eta: 10:14:12 time: 0.4226 data_time: 0.0035 loss: 0.6906 03/05 16:18:12 - mmengine - INFO - Epoch(train) [83][3500/5005] lr: 1.0000e-03 eta: 10:13:29 time: 0.4249 data_time: 0.0035 loss: 0.6689 03/05 16:18:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:18:55 - mmengine - INFO - Epoch(train) [83][3600/5005] lr: 1.0000e-03 eta: 10:12:47 time: 0.4290 data_time: 0.0034 loss: 0.8161 03/05 16:19:37 - mmengine - INFO - Epoch(train) [83][3700/5005] lr: 1.0000e-03 eta: 10:12:05 time: 0.4225 data_time: 0.0037 loss: 0.7461 03/05 16:20:20 - mmengine - INFO - Epoch(train) [83][3800/5005] lr: 1.0000e-03 eta: 10:11:22 time: 0.4285 data_time: 0.0035 loss: 0.8538 03/05 16:21:03 - mmengine - INFO - Epoch(train) [83][3900/5005] lr: 1.0000e-03 eta: 10:10:40 time: 0.4248 data_time: 0.0032 loss: 0.7963 03/05 16:21:46 - mmengine - INFO - Epoch(train) [83][4000/5005] lr: 1.0000e-03 eta: 10:09:57 time: 0.4277 data_time: 0.0033 loss: 0.7649 03/05 16:22:29 - mmengine - INFO - Epoch(train) [83][4100/5005] lr: 1.0000e-03 eta: 10:09:15 time: 0.4278 data_time: 0.0033 loss: 0.7340 03/05 16:23:11 - mmengine - INFO - Epoch(train) [83][4200/5005] lr: 1.0000e-03 eta: 10:08:32 time: 0.4264 data_time: 0.0033 loss: 0.8288 03/05 16:23:55 - mmengine - INFO - Epoch(train) [83][4300/5005] lr: 1.0000e-03 eta: 10:07:50 time: 0.4384 data_time: 0.0035 loss: 0.7128 03/05 16:24:37 - mmengine - INFO - Epoch(train) [83][4400/5005] lr: 1.0000e-03 eta: 10:07:07 time: 0.4296 data_time: 0.0035 loss: 0.7692 03/05 16:25:20 - mmengine - INFO - Epoch(train) [83][4500/5005] lr: 1.0000e-03 eta: 10:06:25 time: 0.4318 data_time: 0.0034 loss: 0.6936 03/05 16:25:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:26:03 - mmengine - INFO - Epoch(train) [83][4600/5005] lr: 1.0000e-03 eta: 10:05:42 time: 0.4251 data_time: 0.0034 loss: 0.7600 03/05 16:26:45 - mmengine - INFO - Epoch(train) [83][4700/5005] lr: 1.0000e-03 eta: 10:05:00 time: 0.4298 data_time: 0.0035 loss: 0.8068 03/05 16:27:28 - mmengine - INFO - Epoch(train) [83][4800/5005] lr: 1.0000e-03 eta: 10:04:17 time: 0.4268 data_time: 0.0036 loss: 0.5903 03/05 16:28:11 - mmengine - INFO - Epoch(train) [83][4900/5005] lr: 1.0000e-03 eta: 10:03:35 time: 0.4238 data_time: 0.0036 loss: 0.8155 03/05 16:28:53 - mmengine - INFO - Epoch(train) [83][5000/5005] lr: 1.0000e-03 eta: 10:02:52 time: 0.4194 data_time: 0.0032 loss: 0.6373 03/05 16:28:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:28:56 - mmengine - INFO - Saving checkpoint at 83 epochs 03/05 16:29:09 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:00:08 time: 0.0320 data_time: 0.0005 03/05 16:29:23 - mmengine - INFO - Epoch(val) [83][196/196] accuracy/top1: 79.1220 accuracy/top5: 94.3880 03/05 16:30:09 - mmengine - INFO - Epoch(train) [84][ 100/5005] lr: 1.0000e-03 eta: 10:02:08 time: 0.4273 data_time: 0.0034 loss: 0.9178 03/05 16:30:52 - mmengine - INFO - Epoch(train) [84][ 200/5005] lr: 1.0000e-03 eta: 10:01:26 time: 0.4320 data_time: 0.0035 loss: 0.6531 03/05 16:31:34 - mmengine - INFO - Epoch(train) [84][ 300/5005] lr: 1.0000e-03 eta: 10:00:43 time: 0.4240 data_time: 0.0035 loss: 0.6738 03/05 16:32:17 - mmengine - INFO - Epoch(train) [84][ 400/5005] lr: 1.0000e-03 eta: 10:00:01 time: 0.4228 data_time: 0.0034 loss: 0.6779 03/05 16:33:00 - mmengine - INFO - Epoch(train) [84][ 500/5005] lr: 1.0000e-03 eta: 9:59:18 time: 0.4270 data_time: 0.0036 loss: 0.6956 03/05 16:33:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:33:43 - mmengine - INFO - Epoch(train) [84][ 600/5005] lr: 1.0000e-03 eta: 9:58:36 time: 0.4422 data_time: 0.0036 loss: 0.6488 03/05 16:34:26 - mmengine - INFO - Epoch(train) [84][ 700/5005] lr: 1.0000e-03 eta: 9:57:54 time: 0.4308 data_time: 0.0035 loss: 0.6780 03/05 16:35:09 - mmengine - INFO - Epoch(train) [84][ 800/5005] lr: 1.0000e-03 eta: 9:57:11 time: 0.4277 data_time: 0.0034 loss: 0.7077 03/05 16:35:52 - mmengine - INFO - Epoch(train) [84][ 900/5005] lr: 1.0000e-03 eta: 9:56:29 time: 0.4290 data_time: 0.0034 loss: 0.6455 03/05 16:36:35 - mmengine - INFO - Epoch(train) [84][1000/5005] lr: 1.0000e-03 eta: 9:55:46 time: 0.4286 data_time: 0.0040 loss: 0.7930 03/05 16:37:18 - mmengine - INFO - Epoch(train) [84][1100/5005] lr: 1.0000e-03 eta: 9:55:04 time: 0.4250 data_time: 0.0036 loss: 0.7178 03/05 16:38:01 - mmengine - INFO - Epoch(train) [84][1200/5005] lr: 1.0000e-03 eta: 9:54:21 time: 0.4291 data_time: 0.0034 loss: 0.8075 03/05 16:38:44 - mmengine - INFO - Epoch(train) [84][1300/5005] lr: 1.0000e-03 eta: 9:53:39 time: 0.4305 data_time: 0.0037 loss: 0.6173 03/05 16:39:27 - mmengine - INFO - Epoch(train) [84][1400/5005] lr: 1.0000e-03 eta: 9:52:56 time: 0.4347 data_time: 0.0035 loss: 0.6040 03/05 16:40:10 - mmengine - INFO - Epoch(train) [84][1500/5005] lr: 1.0000e-03 eta: 9:52:14 time: 0.4231 data_time: 0.0036 loss: 0.6322 03/05 16:40:46 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:40:53 - mmengine - INFO - Epoch(train) [84][1600/5005] lr: 1.0000e-03 eta: 9:51:31 time: 0.4322 data_time: 0.0034 loss: 0.7384 03/05 16:41:35 - mmengine - INFO - Epoch(train) [84][1700/5005] lr: 1.0000e-03 eta: 9:50:49 time: 0.4214 data_time: 0.0034 loss: 0.7493 03/05 16:42:18 - mmengine - INFO - Epoch(train) [84][1800/5005] lr: 1.0000e-03 eta: 9:50:06 time: 0.4292 data_time: 0.0033 loss: 0.7251 03/05 16:43:01 - mmengine - INFO - Epoch(train) [84][1900/5005] lr: 1.0000e-03 eta: 9:49:24 time: 0.4218 data_time: 0.0036 loss: 0.7097 03/05 16:43:44 - mmengine - INFO - Epoch(train) [84][2000/5005] lr: 1.0000e-03 eta: 9:48:42 time: 0.4248 data_time: 0.0036 loss: 0.7113 03/05 16:44:27 - mmengine - INFO - Epoch(train) [84][2100/5005] lr: 1.0000e-03 eta: 9:47:59 time: 0.4290 data_time: 0.0034 loss: 0.6143 03/05 16:45:10 - mmengine - INFO - Epoch(train) [84][2200/5005] lr: 1.0000e-03 eta: 9:47:17 time: 0.4289 data_time: 0.0033 loss: 0.5922 03/05 16:45:52 - mmengine - INFO - Epoch(train) [84][2300/5005] lr: 1.0000e-03 eta: 9:46:34 time: 0.4295 data_time: 0.0032 loss: 0.7988 03/05 16:46:35 - mmengine - INFO - Epoch(train) [84][2400/5005] lr: 1.0000e-03 eta: 9:45:52 time: 0.4240 data_time: 0.0034 loss: 0.5888 03/05 16:47:18 - mmengine - INFO - Epoch(train) [84][2500/5005] lr: 1.0000e-03 eta: 9:45:09 time: 0.4267 data_time: 0.0037 loss: 0.7168 03/05 16:47:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:48:01 - mmengine - INFO - Epoch(train) [84][2600/5005] lr: 1.0000e-03 eta: 9:44:27 time: 0.4225 data_time: 0.0034 loss: 0.7441 03/05 16:48:43 - mmengine - INFO - Epoch(train) [84][2700/5005] lr: 1.0000e-03 eta: 9:43:44 time: 0.4378 data_time: 0.0034 loss: 0.7962 03/05 16:49:26 - mmengine - INFO - Epoch(train) [84][2800/5005] lr: 1.0000e-03 eta: 9:43:02 time: 0.4212 data_time: 0.0036 loss: 0.6483 03/05 16:50:09 - mmengine - INFO - Epoch(train) [84][2900/5005] lr: 1.0000e-03 eta: 9:42:19 time: 0.4277 data_time: 0.0034 loss: 0.6861 03/05 16:50:52 - mmengine - INFO - Epoch(train) [84][3000/5005] lr: 1.0000e-03 eta: 9:41:37 time: 0.4284 data_time: 0.0034 loss: 0.6121 03/05 16:51:35 - mmengine - INFO - Epoch(train) [84][3100/5005] lr: 1.0000e-03 eta: 9:40:54 time: 0.4277 data_time: 0.0037 loss: 0.8030 03/05 16:52:17 - mmengine - INFO - Epoch(train) [84][3200/5005] lr: 1.0000e-03 eta: 9:40:12 time: 0.4204 data_time: 0.0034 loss: 0.7012 03/05 16:53:00 - mmengine - INFO - Epoch(train) [84][3300/5005] lr: 1.0000e-03 eta: 9:39:29 time: 0.4309 data_time: 0.0034 loss: 0.6610 03/05 16:53:43 - mmengine - INFO - Epoch(train) [84][3400/5005] lr: 1.0000e-03 eta: 9:38:47 time: 0.4291 data_time: 0.0033 loss: 0.6785 03/05 16:54:26 - mmengine - INFO - Epoch(train) [84][3500/5005] lr: 1.0000e-03 eta: 9:38:04 time: 0.4250 data_time: 0.0034 loss: 0.7604 03/05 16:55:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 16:55:09 - mmengine - INFO - Epoch(train) [84][3600/5005] lr: 1.0000e-03 eta: 9:37:22 time: 0.4271 data_time: 0.0035 loss: 0.7390 03/05 16:55:52 - mmengine - INFO - Epoch(train) [84][3700/5005] lr: 1.0000e-03 eta: 9:36:39 time: 0.4253 data_time: 0.0035 loss: 0.6950 03/05 16:56:34 - mmengine - INFO - Epoch(train) [84][3800/5005] lr: 1.0000e-03 eta: 9:35:57 time: 0.4297 data_time: 0.0037 loss: 0.7995 03/05 16:57:17 - mmengine - INFO - Epoch(train) [84][3900/5005] lr: 1.0000e-03 eta: 9:35:14 time: 0.4246 data_time: 0.0034 loss: 0.6344 03/05 16:58:00 - mmengine - INFO - Epoch(train) [84][4000/5005] lr: 1.0000e-03 eta: 9:34:32 time: 0.4259 data_time: 0.0035 loss: 0.8120 03/05 16:58:43 - mmengine - INFO - Epoch(train) [84][4100/5005] lr: 1.0000e-03 eta: 9:33:49 time: 0.4262 data_time: 0.0034 loss: 0.6186 03/05 16:59:26 - mmengine - INFO - Epoch(train) [84][4200/5005] lr: 1.0000e-03 eta: 9:33:07 time: 0.4334 data_time: 0.0036 loss: 0.6514 03/05 17:00:08 - mmengine - INFO - Epoch(train) [84][4300/5005] lr: 1.0000e-03 eta: 9:32:24 time: 0.4292 data_time: 0.0035 loss: 0.6681 03/05 17:00:51 - mmengine - INFO - Epoch(train) [84][4400/5005] lr: 1.0000e-03 eta: 9:31:42 time: 0.4289 data_time: 0.0036 loss: 0.6857 03/05 17:01:34 - mmengine - INFO - Epoch(train) [84][4500/5005] lr: 1.0000e-03 eta: 9:30:59 time: 0.4244 data_time: 0.0035 loss: 0.7278 03/05 17:02:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:02:16 - mmengine - INFO - Epoch(train) [84][4600/5005] lr: 1.0000e-03 eta: 9:30:17 time: 0.4232 data_time: 0.0035 loss: 0.7438 03/05 17:02:59 - mmengine - INFO - Epoch(train) [84][4700/5005] lr: 1.0000e-03 eta: 9:29:34 time: 0.4245 data_time: 0.0037 loss: 0.6520 03/05 17:03:42 - mmengine - INFO - Epoch(train) [84][4800/5005] lr: 1.0000e-03 eta: 9:28:52 time: 0.4286 data_time: 0.0034 loss: 0.5963 03/05 17:04:24 - mmengine - INFO - Epoch(train) [84][4900/5005] lr: 1.0000e-03 eta: 9:28:09 time: 0.4241 data_time: 0.0033 loss: 0.8406 03/05 17:05:07 - mmengine - INFO - Epoch(train) [84][5000/5005] lr: 1.0000e-03 eta: 9:27:27 time: 0.4202 data_time: 0.0032 loss: 0.8099 03/05 17:05:09 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:05:10 - mmengine - INFO - Saving checkpoint at 84 epochs 03/05 17:05:21 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:00:08 time: 0.0281 data_time: 0.0005 03/05 17:05:35 - mmengine - INFO - Epoch(val) [84][196/196] accuracy/top1: 79.0180 accuracy/top5: 94.4500 03/05 17:06:21 - mmengine - INFO - Epoch(train) [85][ 100/5005] lr: 1.0000e-03 eta: 9:26:43 time: 0.4231 data_time: 0.0045 loss: 0.7877 03/05 17:07:04 - mmengine - INFO - Epoch(train) [85][ 200/5005] lr: 1.0000e-03 eta: 9:26:00 time: 0.4280 data_time: 0.0033 loss: 0.7764 03/05 17:07:46 - mmengine - INFO - Epoch(train) [85][ 300/5005] lr: 1.0000e-03 eta: 9:25:18 time: 0.4269 data_time: 0.0033 loss: 0.6262 03/05 17:08:29 - mmengine - INFO - Epoch(train) [85][ 400/5005] lr: 1.0000e-03 eta: 9:24:35 time: 0.4270 data_time: 0.0036 loss: 0.7061 03/05 17:09:11 - mmengine - INFO - Epoch(train) [85][ 500/5005] lr: 1.0000e-03 eta: 9:23:53 time: 0.4286 data_time: 0.0033 loss: 0.7257 03/05 17:09:46 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:09:54 - mmengine - INFO - Epoch(train) [85][ 600/5005] lr: 1.0000e-03 eta: 9:23:10 time: 0.4246 data_time: 0.0036 loss: 0.6054 03/05 17:10:37 - mmengine - INFO - Epoch(train) [85][ 700/5005] lr: 1.0000e-03 eta: 9:22:28 time: 0.4261 data_time: 0.0035 loss: 0.6702 03/05 17:11:19 - mmengine - INFO - Epoch(train) [85][ 800/5005] lr: 1.0000e-03 eta: 9:21:45 time: 0.4278 data_time: 0.0036 loss: 0.7866 03/05 17:12:02 - mmengine - INFO - Epoch(train) [85][ 900/5005] lr: 1.0000e-03 eta: 9:21:03 time: 0.4258 data_time: 0.0034 loss: 0.6850 03/05 17:12:45 - mmengine - INFO - Epoch(train) [85][1000/5005] lr: 1.0000e-03 eta: 9:20:20 time: 0.4256 data_time: 0.0039 loss: 0.8075 03/05 17:13:27 - mmengine - INFO - Epoch(train) [85][1100/5005] lr: 1.0000e-03 eta: 9:19:38 time: 0.4236 data_time: 0.0036 loss: 0.7738 03/05 17:14:10 - mmengine - INFO - Epoch(train) [85][1200/5005] lr: 1.0000e-03 eta: 9:18:55 time: 0.4296 data_time: 0.0034 loss: 0.6927 03/05 17:14:52 - mmengine - INFO - Epoch(train) [85][1300/5005] lr: 1.0000e-03 eta: 9:18:12 time: 0.4250 data_time: 0.0034 loss: 0.7404 03/05 17:15:35 - mmengine - INFO - Epoch(train) [85][1400/5005] lr: 1.0000e-03 eta: 9:17:30 time: 0.4215 data_time: 0.0035 loss: 0.7571 03/05 17:16:18 - mmengine - INFO - Epoch(train) [85][1500/5005] lr: 1.0000e-03 eta: 9:16:47 time: 0.4245 data_time: 0.0034 loss: 0.8567 03/05 17:16:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:17:00 - mmengine - INFO - Epoch(train) [85][1600/5005] lr: 1.0000e-03 eta: 9:16:05 time: 0.4277 data_time: 0.0034 loss: 0.6381 03/05 17:17:43 - mmengine - INFO - Epoch(train) [85][1700/5005] lr: 1.0000e-03 eta: 9:15:22 time: 0.4260 data_time: 0.0035 loss: 0.5780 03/05 17:18:25 - mmengine - INFO - Epoch(train) [85][1800/5005] lr: 1.0000e-03 eta: 9:14:40 time: 0.4238 data_time: 0.0037 loss: 0.5633 03/05 17:19:08 - mmengine - INFO - Epoch(train) [85][1900/5005] lr: 1.0000e-03 eta: 9:13:57 time: 0.4223 data_time: 0.0033 loss: 0.7176 03/05 17:19:51 - mmengine - INFO - Epoch(train) [85][2000/5005] lr: 1.0000e-03 eta: 9:13:15 time: 0.4274 data_time: 0.0033 loss: 0.5689 03/05 17:20:34 - mmengine - INFO - Epoch(train) [85][2100/5005] lr: 1.0000e-03 eta: 9:12:32 time: 0.4303 data_time: 0.0036 loss: 0.6183 03/05 17:21:16 - mmengine - INFO - Epoch(train) [85][2200/5005] lr: 1.0000e-03 eta: 9:11:50 time: 0.4241 data_time: 0.0036 loss: 0.6810 03/05 17:21:59 - mmengine - INFO - Epoch(train) [85][2300/5005] lr: 1.0000e-03 eta: 9:11:07 time: 0.4186 data_time: 0.0036 loss: 0.5704 03/05 17:22:42 - mmengine - INFO - Epoch(train) [85][2400/5005] lr: 1.0000e-03 eta: 9:10:25 time: 0.4261 data_time: 0.0033 loss: 0.7233 03/05 17:23:24 - mmengine - INFO - Epoch(train) [85][2500/5005] lr: 1.0000e-03 eta: 9:09:42 time: 0.4196 data_time: 0.0034 loss: 0.7964 03/05 17:23:58 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:24:07 - mmengine - INFO - Epoch(train) [85][2600/5005] lr: 1.0000e-03 eta: 9:09:00 time: 0.4270 data_time: 0.0035 loss: 0.7136 03/05 17:24:50 - mmengine - INFO - Epoch(train) [85][2700/5005] lr: 1.0000e-03 eta: 9:08:17 time: 0.4252 data_time: 0.0034 loss: 0.7644 03/05 17:25:32 - mmengine - INFO - Epoch(train) [85][2800/5005] lr: 1.0000e-03 eta: 9:07:35 time: 0.4283 data_time: 0.0033 loss: 0.7838 03/05 17:26:15 - mmengine - INFO - Epoch(train) [85][2900/5005] lr: 1.0000e-03 eta: 9:06:52 time: 0.4285 data_time: 0.0034 loss: 0.8244 03/05 17:26:58 - mmengine - INFO - Epoch(train) [85][3000/5005] lr: 1.0000e-03 eta: 9:06:10 time: 0.4263 data_time: 0.0034 loss: 0.6843 03/05 17:27:41 - mmengine - INFO - Epoch(train) [85][3100/5005] lr: 1.0000e-03 eta: 9:05:27 time: 0.4248 data_time: 0.0035 loss: 0.7391 03/05 17:28:24 - mmengine - INFO - Epoch(train) [85][3200/5005] lr: 1.0000e-03 eta: 9:04:45 time: 0.4226 data_time: 0.0035 loss: 0.7153 03/05 17:29:06 - mmengine - INFO - Epoch(train) [85][3300/5005] lr: 1.0000e-03 eta: 9:04:02 time: 0.4308 data_time: 0.0034 loss: 0.6320 03/05 17:29:49 - mmengine - INFO - Epoch(train) [85][3400/5005] lr: 1.0000e-03 eta: 9:03:20 time: 0.4248 data_time: 0.0034 loss: 0.6260 03/05 17:30:32 - mmengine - INFO - Epoch(train) [85][3500/5005] lr: 1.0000e-03 eta: 9:02:37 time: 0.4276 data_time: 0.0035 loss: 0.7913 03/05 17:31:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:31:15 - mmengine - INFO - Epoch(train) [85][3600/5005] lr: 1.0000e-03 eta: 9:01:55 time: 0.4260 data_time: 0.0034 loss: 0.6658 03/05 17:31:57 - mmengine - INFO - Epoch(train) [85][3700/5005] lr: 1.0000e-03 eta: 9:01:12 time: 0.4283 data_time: 0.0037 loss: 0.8558 03/05 17:32:40 - mmengine - INFO - Epoch(train) [85][3800/5005] lr: 1.0000e-03 eta: 9:00:30 time: 0.4236 data_time: 0.0035 loss: 0.5479 03/05 17:33:23 - mmengine - INFO - Epoch(train) [85][3900/5005] lr: 1.0000e-03 eta: 8:59:47 time: 0.4236 data_time: 0.0035 loss: 0.6586 03/05 17:34:06 - mmengine - INFO - Epoch(train) [85][4000/5005] lr: 1.0000e-03 eta: 8:59:05 time: 0.4295 data_time: 0.0034 loss: 0.6429 03/05 17:34:48 - mmengine - INFO - Epoch(train) [85][4100/5005] lr: 1.0000e-03 eta: 8:58:22 time: 0.4211 data_time: 0.0034 loss: 0.6230 03/05 17:35:31 - mmengine - INFO - Epoch(train) [85][4200/5005] lr: 1.0000e-03 eta: 8:57:40 time: 0.4259 data_time: 0.0034 loss: 0.7158 03/05 17:36:14 - mmengine - INFO - Epoch(train) [85][4300/5005] lr: 1.0000e-03 eta: 8:56:57 time: 0.4234 data_time: 0.0034 loss: 0.7692 03/05 17:36:56 - mmengine - INFO - Epoch(train) [85][4400/5005] lr: 1.0000e-03 eta: 8:56:15 time: 0.4294 data_time: 0.0034 loss: 0.7725 03/05 17:37:39 - mmengine - INFO - Epoch(train) [85][4500/5005] lr: 1.0000e-03 eta: 8:55:32 time: 0.4241 data_time: 0.0035 loss: 0.6625 03/05 17:38:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:38:22 - mmengine - INFO - Epoch(train) [85][4600/5005] lr: 1.0000e-03 eta: 8:54:50 time: 0.4273 data_time: 0.0036 loss: 0.6088 03/05 17:39:04 - mmengine - INFO - Epoch(train) [85][4700/5005] lr: 1.0000e-03 eta: 8:54:07 time: 0.4224 data_time: 0.0033 loss: 0.7648 03/05 17:39:47 - mmengine - INFO - Epoch(train) [85][4800/5005] lr: 1.0000e-03 eta: 8:53:25 time: 0.4302 data_time: 0.0033 loss: 0.6192 03/05 17:40:30 - mmengine - INFO - Epoch(train) [85][4900/5005] lr: 1.0000e-03 eta: 8:52:42 time: 0.4310 data_time: 0.0034 loss: 0.7353 03/05 17:41:13 - mmengine - INFO - Epoch(train) [85][5000/5005] lr: 1.0000e-03 eta: 8:52:00 time: 0.4254 data_time: 0.0032 loss: 0.7505 03/05 17:41:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:41:16 - mmengine - INFO - Saving checkpoint at 85 epochs 03/05 17:41:27 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:00:08 time: 0.0284 data_time: 0.0005 03/05 17:41:41 - mmengine - INFO - Epoch(val) [85][196/196] accuracy/top1: 78.9640 accuracy/top5: 94.4300 03/05 17:42:27 - mmengine - INFO - Epoch(train) [86][ 100/5005] lr: 1.0000e-03 eta: 8:51:16 time: 0.4220 data_time: 0.0035 loss: 0.6902 03/05 17:43:10 - mmengine - INFO - Epoch(train) [86][ 200/5005] lr: 1.0000e-03 eta: 8:50:33 time: 0.4255 data_time: 0.0034 loss: 0.5223 03/05 17:43:53 - mmengine - INFO - Epoch(train) [86][ 300/5005] lr: 1.0000e-03 eta: 8:49:51 time: 0.4195 data_time: 0.0033 loss: 0.6990 03/05 17:44:36 - mmengine - INFO - Epoch(train) [86][ 400/5005] lr: 1.0000e-03 eta: 8:49:08 time: 0.4265 data_time: 0.0036 loss: 0.7427 03/05 17:45:18 - mmengine - INFO - Epoch(train) [86][ 500/5005] lr: 1.0000e-03 eta: 8:48:26 time: 0.4202 data_time: 0.0034 loss: 0.7198 03/05 17:45:50 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:46:01 - mmengine - INFO - Epoch(train) [86][ 600/5005] lr: 1.0000e-03 eta: 8:47:43 time: 0.4239 data_time: 0.0034 loss: 0.6178 03/05 17:46:44 - mmengine - INFO - Epoch(train) [86][ 700/5005] lr: 1.0000e-03 eta: 8:47:01 time: 0.4235 data_time: 0.0036 loss: 0.6327 03/05 17:47:27 - mmengine - INFO - Epoch(train) [86][ 800/5005] lr: 1.0000e-03 eta: 8:46:18 time: 0.4270 data_time: 0.0035 loss: 0.6945 03/05 17:48:09 - mmengine - INFO - Epoch(train) [86][ 900/5005] lr: 1.0000e-03 eta: 8:45:36 time: 0.4228 data_time: 0.0036 loss: 0.6018 03/05 17:48:52 - mmengine - INFO - Epoch(train) [86][1000/5005] lr: 1.0000e-03 eta: 8:44:53 time: 0.4244 data_time: 0.0036 loss: 0.7267 03/05 17:49:34 - mmengine - INFO - Epoch(train) [86][1100/5005] lr: 1.0000e-03 eta: 8:44:11 time: 0.4248 data_time: 0.0036 loss: 0.6041 03/05 17:50:17 - mmengine - INFO - Epoch(train) [86][1200/5005] lr: 1.0000e-03 eta: 8:43:28 time: 0.4292 data_time: 0.0037 loss: 0.6948 03/05 17:51:00 - mmengine - INFO - Epoch(train) [86][1300/5005] lr: 1.0000e-03 eta: 8:42:46 time: 0.4244 data_time: 0.0035 loss: 0.7878 03/05 17:51:42 - mmengine - INFO - Epoch(train) [86][1400/5005] lr: 1.0000e-03 eta: 8:42:03 time: 0.4212 data_time: 0.0034 loss: 0.7361 03/05 17:52:25 - mmengine - INFO - Epoch(train) [86][1500/5005] lr: 1.0000e-03 eta: 8:41:21 time: 0.4190 data_time: 0.0036 loss: 0.7234 03/05 17:52:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 17:53:08 - mmengine - INFO - Epoch(train) [86][1600/5005] lr: 1.0000e-03 eta: 8:40:38 time: 0.4266 data_time: 0.0036 loss: 0.8002 03/05 17:53:51 - mmengine - INFO - Epoch(train) [86][1700/5005] lr: 1.0000e-03 eta: 8:39:56 time: 0.4260 data_time: 0.0035 loss: 0.7882 03/05 17:54:34 - mmengine - INFO - Epoch(train) [86][1800/5005] lr: 1.0000e-03 eta: 8:39:13 time: 0.4231 data_time: 0.0035 loss: 0.5990 03/05 17:55:16 - mmengine - INFO - Epoch(train) [86][1900/5005] lr: 1.0000e-03 eta: 8:38:31 time: 0.4235 data_time: 0.0036 loss: 0.6930 03/05 17:55:59 - mmengine - INFO - Epoch(train) [86][2000/5005] lr: 1.0000e-03 eta: 8:37:48 time: 0.4223 data_time: 0.0033 loss: 0.6578 03/05 17:56:42 - mmengine - INFO - Epoch(train) [86][2100/5005] lr: 1.0000e-03 eta: 8:37:06 time: 0.4191 data_time: 0.0036 loss: 0.6142 03/05 17:57:24 - mmengine - INFO - Epoch(train) [86][2200/5005] lr: 1.0000e-03 eta: 8:36:23 time: 0.4238 data_time: 0.0033 loss: 0.7241 03/05 17:58:07 - mmengine - INFO - Epoch(train) [86][2300/5005] lr: 1.0000e-03 eta: 8:35:40 time: 0.4249 data_time: 0.0036 loss: 0.7192 03/05 17:58:49 - mmengine - INFO - Epoch(train) [86][2400/5005] lr: 1.0000e-03 eta: 8:34:58 time: 0.4238 data_time: 0.0035 loss: 0.7329 03/05 17:59:32 - mmengine - INFO - Epoch(train) [86][2500/5005] lr: 1.0000e-03 eta: 8:34:15 time: 0.4221 data_time: 0.0033 loss: 0.6293 03/05 18:00:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:00:15 - mmengine - INFO - Epoch(train) [86][2600/5005] lr: 1.0000e-03 eta: 8:33:33 time: 0.4274 data_time: 0.0037 loss: 0.7518 03/05 18:00:57 - mmengine - INFO - Epoch(train) [86][2700/5005] lr: 1.0000e-03 eta: 8:32:50 time: 0.4277 data_time: 0.0034 loss: 0.6306 03/05 18:01:40 - mmengine - INFO - Epoch(train) [86][2800/5005] lr: 1.0000e-03 eta: 8:32:08 time: 0.4216 data_time: 0.0036 loss: 0.7150 03/05 18:02:23 - mmengine - INFO - Epoch(train) [86][2900/5005] lr: 1.0000e-03 eta: 8:31:25 time: 0.4256 data_time: 0.0039 loss: 0.6571 03/05 18:03:05 - mmengine - INFO - Epoch(train) [86][3000/5005] lr: 1.0000e-03 eta: 8:30:43 time: 0.4276 data_time: 0.0035 loss: 0.6212 03/05 18:03:48 - mmengine - INFO - Epoch(train) [86][3100/5005] lr: 1.0000e-03 eta: 8:30:00 time: 0.4244 data_time: 0.0036 loss: 0.7716 03/05 18:04:31 - mmengine - INFO - Epoch(train) [86][3200/5005] lr: 1.0000e-03 eta: 8:29:18 time: 0.4228 data_time: 0.0037 loss: 0.6810 03/05 18:05:13 - mmengine - INFO - Epoch(train) [86][3300/5005] lr: 1.0000e-03 eta: 8:28:35 time: 0.4261 data_time: 0.0034 loss: 0.7763 03/05 18:05:56 - mmengine - INFO - Epoch(train) [86][3400/5005] lr: 1.0000e-03 eta: 8:27:53 time: 0.4234 data_time: 0.0034 loss: 0.8123 03/05 18:06:39 - mmengine - INFO - Epoch(train) [86][3500/5005] lr: 1.0000e-03 eta: 8:27:10 time: 0.4354 data_time: 0.0034 loss: 0.6188 03/05 18:07:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:07:22 - mmengine - INFO - Epoch(train) [86][3600/5005] lr: 1.0000e-03 eta: 8:26:28 time: 0.4250 data_time: 0.0034 loss: 0.5912 03/05 18:08:04 - mmengine - INFO - Epoch(train) [86][3700/5005] lr: 1.0000e-03 eta: 8:25:45 time: 0.4193 data_time: 0.0034 loss: 0.7381 03/05 18:08:47 - mmengine - INFO - Epoch(train) [86][3800/5005] lr: 1.0000e-03 eta: 8:25:03 time: 0.4245 data_time: 0.0037 loss: 0.6596 03/05 18:09:30 - mmengine - INFO - Epoch(train) [86][3900/5005] lr: 1.0000e-03 eta: 8:24:20 time: 0.4273 data_time: 0.0033 loss: 0.7328 03/05 18:10:12 - mmengine - INFO - Epoch(train) [86][4000/5005] lr: 1.0000e-03 eta: 8:23:38 time: 0.4235 data_time: 0.0036 loss: 0.7832 03/05 18:10:55 - mmengine - INFO - Epoch(train) [86][4100/5005] lr: 1.0000e-03 eta: 8:22:55 time: 0.4230 data_time: 0.0037 loss: 0.5720 03/05 18:11:38 - mmengine - INFO - Epoch(train) [86][4200/5005] lr: 1.0000e-03 eta: 8:22:13 time: 0.4299 data_time: 0.0033 loss: 0.6855 03/05 18:12:20 - mmengine - INFO - Epoch(train) [86][4300/5005] lr: 1.0000e-03 eta: 8:21:30 time: 0.4259 data_time: 0.0034 loss: 0.7085 03/05 18:13:03 - mmengine - INFO - Epoch(train) [86][4400/5005] lr: 1.0000e-03 eta: 8:20:48 time: 0.4257 data_time: 0.0034 loss: 0.6564 03/05 18:13:46 - mmengine - INFO - Epoch(train) [86][4500/5005] lr: 1.0000e-03 eta: 8:20:05 time: 0.4217 data_time: 0.0035 loss: 0.8696 03/05 18:14:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:14:29 - mmengine - INFO - Epoch(train) [86][4600/5005] lr: 1.0000e-03 eta: 8:19:23 time: 0.4228 data_time: 0.0034 loss: 0.7282 03/05 18:15:11 - mmengine - INFO - Epoch(train) [86][4700/5005] lr: 1.0000e-03 eta: 8:18:40 time: 0.4263 data_time: 0.0035 loss: 0.7357 03/05 18:15:54 - mmengine - INFO - Epoch(train) [86][4800/5005] lr: 1.0000e-03 eta: 8:17:58 time: 0.4248 data_time: 0.0036 loss: 0.6695 03/05 18:16:37 - mmengine - INFO - Epoch(train) [86][4900/5005] lr: 1.0000e-03 eta: 8:17:15 time: 0.4271 data_time: 0.0035 loss: 0.6282 03/05 18:17:20 - mmengine - INFO - Epoch(train) [86][5000/5005] lr: 1.0000e-03 eta: 8:16:33 time: 0.4222 data_time: 0.0033 loss: 0.7202 03/05 18:17:22 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:17:23 - mmengine - INFO - Saving checkpoint at 86 epochs 03/05 18:17:35 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:00:08 time: 0.0271 data_time: 0.0005 03/05 18:17:49 - mmengine - INFO - Epoch(val) [86][196/196] accuracy/top1: 79.0600 accuracy/top5: 94.3800 03/05 18:18:35 - mmengine - INFO - Epoch(train) [87][ 100/5005] lr: 1.0000e-03 eta: 8:15:49 time: 0.4264 data_time: 0.0038 loss: 0.6721 03/05 18:19:18 - mmengine - INFO - Epoch(train) [87][ 200/5005] lr: 1.0000e-03 eta: 8:15:06 time: 0.4240 data_time: 0.0034 loss: 0.5551 03/05 18:20:01 - mmengine - INFO - Epoch(train) [87][ 300/5005] lr: 1.0000e-03 eta: 8:14:24 time: 0.4247 data_time: 0.0037 loss: 0.7347 03/05 18:20:44 - mmengine - INFO - Epoch(train) [87][ 400/5005] lr: 1.0000e-03 eta: 8:13:41 time: 0.4269 data_time: 0.0037 loss: 0.7578 03/05 18:21:26 - mmengine - INFO - Epoch(train) [87][ 500/5005] lr: 1.0000e-03 eta: 8:12:59 time: 0.4218 data_time: 0.0034 loss: 0.7337 03/05 18:21:56 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:22:09 - mmengine - INFO - Epoch(train) [87][ 600/5005] lr: 1.0000e-03 eta: 8:12:16 time: 0.4244 data_time: 0.0034 loss: 0.5951 03/05 18:22:52 - mmengine - INFO - Epoch(train) [87][ 700/5005] lr: 1.0000e-03 eta: 8:11:34 time: 0.4227 data_time: 0.0038 loss: 0.7342 03/05 18:23:35 - mmengine - INFO - Epoch(train) [87][ 800/5005] lr: 1.0000e-03 eta: 8:10:51 time: 0.4236 data_time: 0.0036 loss: 0.6517 03/05 18:24:17 - mmengine - INFO - Epoch(train) [87][ 900/5005] lr: 1.0000e-03 eta: 8:10:09 time: 0.4234 data_time: 0.0034 loss: 0.6370 03/05 18:25:00 - mmengine - INFO - Epoch(train) [87][1000/5005] lr: 1.0000e-03 eta: 8:09:26 time: 0.4211 data_time: 0.0035 loss: 0.7175 03/05 18:25:42 - mmengine - INFO - Epoch(train) [87][1100/5005] lr: 1.0000e-03 eta: 8:08:44 time: 0.4195 data_time: 0.0035 loss: 0.7914 03/05 18:26:25 - mmengine - INFO - Epoch(train) [87][1200/5005] lr: 1.0000e-03 eta: 8:08:01 time: 0.4265 data_time: 0.0035 loss: 0.8741 03/05 18:27:08 - mmengine - INFO - Epoch(train) [87][1300/5005] lr: 1.0000e-03 eta: 8:07:19 time: 0.4242 data_time: 0.0034 loss: 0.8573 03/05 18:27:51 - mmengine - INFO - Epoch(train) [87][1400/5005] lr: 1.0000e-03 eta: 8:06:36 time: 0.4277 data_time: 0.0034 loss: 0.7406 03/05 18:28:33 - mmengine - INFO - Epoch(train) [87][1500/5005] lr: 1.0000e-03 eta: 8:05:54 time: 0.4324 data_time: 0.0033 loss: 0.6740 03/05 18:29:03 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:29:16 - mmengine - INFO - Epoch(train) [87][1600/5005] lr: 1.0000e-03 eta: 8:05:11 time: 0.4242 data_time: 0.0035 loss: 0.8129 03/05 18:29:59 - mmengine - INFO - Epoch(train) [87][1700/5005] lr: 1.0000e-03 eta: 8:04:29 time: 0.4268 data_time: 0.0034 loss: 0.8351 03/05 18:30:42 - mmengine - INFO - Epoch(train) [87][1800/5005] lr: 1.0000e-03 eta: 8:03:46 time: 0.4275 data_time: 0.0034 loss: 0.8426 03/05 18:31:24 - mmengine - INFO - Epoch(train) [87][1900/5005] lr: 1.0000e-03 eta: 8:03:04 time: 0.4312 data_time: 0.0035 loss: 0.7725 03/05 18:32:07 - mmengine - INFO - Epoch(train) [87][2000/5005] lr: 1.0000e-03 eta: 8:02:21 time: 0.4254 data_time: 0.0037 loss: 0.6131 03/05 18:32:50 - mmengine - INFO - Epoch(train) [87][2100/5005] lr: 1.0000e-03 eta: 8:01:39 time: 0.4273 data_time: 0.0037 loss: 0.7968 03/05 18:33:33 - mmengine - INFO - Epoch(train) [87][2200/5005] lr: 1.0000e-03 eta: 8:00:56 time: 0.4255 data_time: 0.0034 loss: 0.6602 03/05 18:34:15 - mmengine - INFO - Epoch(train) [87][2300/5005] lr: 1.0000e-03 eta: 8:00:14 time: 0.4208 data_time: 0.0036 loss: 0.7365 03/05 18:34:58 - mmengine - INFO - Epoch(train) [87][2400/5005] lr: 1.0000e-03 eta: 7:59:31 time: 0.4270 data_time: 0.0035 loss: 0.6453 03/05 18:35:41 - mmengine - INFO - Epoch(train) [87][2500/5005] lr: 1.0000e-03 eta: 7:58:49 time: 0.4209 data_time: 0.0035 loss: 0.7819 03/05 18:36:11 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:36:24 - mmengine - INFO - Epoch(train) [87][2600/5005] lr: 1.0000e-03 eta: 7:58:06 time: 0.4287 data_time: 0.0035 loss: 0.7123 03/05 18:37:06 - mmengine - INFO - Epoch(train) [87][2700/5005] lr: 1.0000e-03 eta: 7:57:24 time: 0.4271 data_time: 0.0035 loss: 0.8035 03/05 18:37:49 - mmengine - INFO - Epoch(train) [87][2800/5005] lr: 1.0000e-03 eta: 7:56:41 time: 0.4269 data_time: 0.0035 loss: 0.7192 03/05 18:38:32 - mmengine - INFO - Epoch(train) [87][2900/5005] lr: 1.0000e-03 eta: 7:55:59 time: 0.4269 data_time: 0.0035 loss: 0.5958 03/05 18:39:14 - mmengine - INFO - Epoch(train) [87][3000/5005] lr: 1.0000e-03 eta: 7:55:16 time: 0.4212 data_time: 0.0036 loss: 0.7691 03/05 18:39:57 - mmengine - INFO - Epoch(train) [87][3100/5005] lr: 1.0000e-03 eta: 7:54:34 time: 0.4268 data_time: 0.0035 loss: 0.7329 03/05 18:40:40 - mmengine - INFO - Epoch(train) [87][3200/5005] lr: 1.0000e-03 eta: 7:53:51 time: 0.4269 data_time: 0.0036 loss: 0.7049 03/05 18:41:23 - mmengine - INFO - Epoch(train) [87][3300/5005] lr: 1.0000e-03 eta: 7:53:09 time: 0.4263 data_time: 0.0037 loss: 0.6485 03/05 18:42:05 - mmengine - INFO - Epoch(train) [87][3400/5005] lr: 1.0000e-03 eta: 7:52:26 time: 0.4233 data_time: 0.0035 loss: 0.6247 03/05 18:42:48 - mmengine - INFO - Epoch(train) [87][3500/5005] lr: 1.0000e-03 eta: 7:51:43 time: 0.4288 data_time: 0.0033 loss: 0.7684 03/05 18:43:18 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:43:31 - mmengine - INFO - Epoch(train) [87][3600/5005] lr: 1.0000e-03 eta: 7:51:01 time: 0.4226 data_time: 0.0037 loss: 0.7827 03/05 18:44:14 - mmengine - INFO - Epoch(train) [87][3700/5005] lr: 1.0000e-03 eta: 7:50:18 time: 0.4267 data_time: 0.0036 loss: 0.6781 03/05 18:44:57 - mmengine - INFO - Epoch(train) [87][3800/5005] lr: 1.0000e-03 eta: 7:49:36 time: 0.4290 data_time: 0.0033 loss: 0.7771 03/05 18:45:39 - mmengine - INFO - Epoch(train) [87][3900/5005] lr: 1.0000e-03 eta: 7:48:54 time: 0.4250 data_time: 0.0038 loss: 0.7368 03/05 18:46:22 - mmengine - INFO - Epoch(train) [87][4000/5005] lr: 1.0000e-03 eta: 7:48:11 time: 0.4296 data_time: 0.0035 loss: 0.7224 03/05 18:47:05 - mmengine - INFO - Epoch(train) [87][4100/5005] lr: 1.0000e-03 eta: 7:47:29 time: 0.4264 data_time: 0.0037 loss: 0.6858 03/05 18:47:48 - mmengine - INFO - Epoch(train) [87][4200/5005] lr: 1.0000e-03 eta: 7:46:46 time: 0.4267 data_time: 0.0034 loss: 0.6296 03/05 18:48:30 - mmengine - INFO - Epoch(train) [87][4300/5005] lr: 1.0000e-03 eta: 7:46:03 time: 0.4251 data_time: 0.0037 loss: 0.6906 03/05 18:49:13 - mmengine - INFO - Epoch(train) [87][4400/5005] lr: 1.0000e-03 eta: 7:45:21 time: 0.4280 data_time: 0.0034 loss: 0.7478 03/05 18:49:56 - mmengine - INFO - Epoch(train) [87][4500/5005] lr: 1.0000e-03 eta: 7:44:38 time: 0.4204 data_time: 0.0034 loss: 0.7152 03/05 18:50:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:50:39 - mmengine - INFO - Epoch(train) [87][4600/5005] lr: 1.0000e-03 eta: 7:43:56 time: 0.4220 data_time: 0.0037 loss: 0.5300 03/05 18:51:22 - mmengine - INFO - Epoch(train) [87][4700/5005] lr: 1.0000e-03 eta: 7:43:14 time: 0.4251 data_time: 0.0038 loss: 0.6761 03/05 18:52:04 - mmengine - INFO - Epoch(train) [87][4800/5005] lr: 1.0000e-03 eta: 7:42:31 time: 0.4279 data_time: 0.0035 loss: 0.7279 03/05 18:52:47 - mmengine - INFO - Epoch(train) [87][4900/5005] lr: 1.0000e-03 eta: 7:41:48 time: 0.4195 data_time: 0.0035 loss: 0.6597 03/05 18:53:30 - mmengine - INFO - Epoch(train) [87][5000/5005] lr: 1.0000e-03 eta: 7:41:06 time: 0.4232 data_time: 0.0034 loss: 0.6674 03/05 18:53:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:53:33 - mmengine - INFO - Saving checkpoint at 87 epochs 03/05 18:53:45 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:00:08 time: 0.0293 data_time: 0.0005 03/05 18:53:59 - mmengine - INFO - Epoch(val) [87][196/196] accuracy/top1: 78.9520 accuracy/top5: 94.3960 03/05 18:54:45 - mmengine - INFO - Epoch(train) [88][ 100/5005] lr: 1.0000e-03 eta: 7:40:22 time: 0.4297 data_time: 0.0037 loss: 0.6785 03/05 18:55:28 - mmengine - INFO - Epoch(train) [88][ 200/5005] lr: 1.0000e-03 eta: 7:39:39 time: 0.4409 data_time: 0.0036 loss: 0.7000 03/05 18:56:11 - mmengine - INFO - Epoch(train) [88][ 300/5005] lr: 1.0000e-03 eta: 7:38:57 time: 0.4274 data_time: 0.0033 loss: 0.6207 03/05 18:56:54 - mmengine - INFO - Epoch(train) [88][ 400/5005] lr: 1.0000e-03 eta: 7:38:14 time: 0.4248 data_time: 0.0035 loss: 0.6942 03/05 18:57:37 - mmengine - INFO - Epoch(train) [88][ 500/5005] lr: 1.0000e-03 eta: 7:37:32 time: 0.4292 data_time: 0.0033 loss: 0.7928 03/05 18:58:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 18:58:20 - mmengine - INFO - Epoch(train) [88][ 600/5005] lr: 1.0000e-03 eta: 7:36:49 time: 0.4273 data_time: 0.0035 loss: 0.7817 03/05 18:59:03 - mmengine - INFO - Epoch(train) [88][ 700/5005] lr: 1.0000e-03 eta: 7:36:07 time: 0.4222 data_time: 0.0037 loss: 0.7087 03/05 18:59:45 - mmengine - INFO - Epoch(train) [88][ 800/5005] lr: 1.0000e-03 eta: 7:35:24 time: 0.4238 data_time: 0.0035 loss: 0.6238 03/05 19:00:28 - mmengine - INFO - Epoch(train) [88][ 900/5005] lr: 1.0000e-03 eta: 7:34:42 time: 0.4202 data_time: 0.0038 loss: 0.6837 03/05 19:01:11 - mmengine - INFO - Epoch(train) [88][1000/5005] lr: 1.0000e-03 eta: 7:33:59 time: 0.4253 data_time: 0.0033 loss: 0.7477 03/05 19:01:53 - mmengine - INFO - Epoch(train) [88][1100/5005] lr: 1.0000e-03 eta: 7:33:17 time: 0.4250 data_time: 0.0035 loss: 0.8005 03/05 19:02:36 - mmengine - INFO - Epoch(train) [88][1200/5005] lr: 1.0000e-03 eta: 7:32:34 time: 0.4217 data_time: 0.0036 loss: 0.7129 03/05 19:03:19 - mmengine - INFO - Epoch(train) [88][1300/5005] lr: 1.0000e-03 eta: 7:31:52 time: 0.4344 data_time: 0.0034 loss: 0.6417 03/05 19:04:02 - mmengine - INFO - Epoch(train) [88][1400/5005] lr: 1.0000e-03 eta: 7:31:09 time: 0.4260 data_time: 0.0034 loss: 0.7169 03/05 19:04:45 - mmengine - INFO - Epoch(train) [88][1500/5005] lr: 1.0000e-03 eta: 7:30:27 time: 0.4269 data_time: 0.0036 loss: 0.8463 03/05 19:05:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:05:27 - mmengine - INFO - Epoch(train) [88][1600/5005] lr: 1.0000e-03 eta: 7:29:44 time: 0.4215 data_time: 0.0035 loss: 0.6340 03/05 19:06:10 - mmengine - INFO - Epoch(train) [88][1700/5005] lr: 1.0000e-03 eta: 7:29:02 time: 0.4229 data_time: 0.0035 loss: 0.6589 03/05 19:06:53 - mmengine - INFO - Epoch(train) [88][1800/5005] lr: 1.0000e-03 eta: 7:28:19 time: 0.4290 data_time: 0.0034 loss: 0.5996 03/05 19:07:36 - mmengine - INFO - Epoch(train) [88][1900/5005] lr: 1.0000e-03 eta: 7:27:37 time: 0.4270 data_time: 0.0036 loss: 0.5325 03/05 19:08:19 - mmengine - INFO - Epoch(train) [88][2000/5005] lr: 1.0000e-03 eta: 7:26:54 time: 0.4342 data_time: 0.0034 loss: 0.6713 03/05 19:09:01 - mmengine - INFO - Epoch(train) [88][2100/5005] lr: 1.0000e-03 eta: 7:26:12 time: 0.4251 data_time: 0.0034 loss: 0.7347 03/05 19:09:44 - mmengine - INFO - Epoch(train) [88][2200/5005] lr: 1.0000e-03 eta: 7:25:29 time: 0.4289 data_time: 0.0034 loss: 0.7074 03/05 19:10:27 - mmengine - INFO - Epoch(train) [88][2300/5005] lr: 1.0000e-03 eta: 7:24:47 time: 0.4256 data_time: 0.0036 loss: 0.6605 03/05 19:11:09 - mmengine - INFO - Epoch(train) [88][2400/5005] lr: 1.0000e-03 eta: 7:24:04 time: 0.4293 data_time: 0.0035 loss: 0.5816 03/05 19:11:52 - mmengine - INFO - Epoch(train) [88][2500/5005] lr: 1.0000e-03 eta: 7:23:22 time: 0.4264 data_time: 0.0036 loss: 0.5837 03/05 19:12:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:12:35 - mmengine - INFO - Epoch(train) [88][2600/5005] lr: 1.0000e-03 eta: 7:22:39 time: 0.4239 data_time: 0.0035 loss: 0.6262 03/05 19:13:18 - mmengine - INFO - Epoch(train) [88][2700/5005] lr: 1.0000e-03 eta: 7:21:57 time: 0.4280 data_time: 0.0036 loss: 0.6299 03/05 19:14:00 - mmengine - INFO - Epoch(train) [88][2800/5005] lr: 1.0000e-03 eta: 7:21:14 time: 0.4249 data_time: 0.0036 loss: 0.5871 03/05 19:14:43 - mmengine - INFO - Epoch(train) [88][2900/5005] lr: 1.0000e-03 eta: 7:20:32 time: 0.4230 data_time: 0.0034 loss: 0.8135 03/05 19:15:26 - mmengine - INFO - Epoch(train) [88][3000/5005] lr: 1.0000e-03 eta: 7:19:49 time: 0.4254 data_time: 0.0041 loss: 0.7144 03/05 19:16:09 - mmengine - INFO - Epoch(train) [88][3100/5005] lr: 1.0000e-03 eta: 7:19:07 time: 0.4254 data_time: 0.0035 loss: 0.8161 03/05 19:16:51 - mmengine - INFO - Epoch(train) [88][3200/5005] lr: 1.0000e-03 eta: 7:18:24 time: 0.4253 data_time: 0.0035 loss: 0.5433 03/05 19:17:34 - mmengine - INFO - Epoch(train) [88][3300/5005] lr: 1.0000e-03 eta: 7:17:42 time: 0.4244 data_time: 0.0033 loss: 0.6658 03/05 19:18:17 - mmengine - INFO - Epoch(train) [88][3400/5005] lr: 1.0000e-03 eta: 7:16:59 time: 0.4246 data_time: 0.0036 loss: 0.7271 03/05 19:18:59 - mmengine - INFO - Epoch(train) [88][3500/5005] lr: 1.0000e-03 eta: 7:16:17 time: 0.4270 data_time: 0.0034 loss: 0.6833 03/05 19:19:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:19:42 - mmengine - INFO - Epoch(train) [88][3600/5005] lr: 1.0000e-03 eta: 7:15:34 time: 0.4257 data_time: 0.0037 loss: 0.6679 03/05 19:20:25 - mmengine - INFO - Epoch(train) [88][3700/5005] lr: 1.0000e-03 eta: 7:14:52 time: 0.4265 data_time: 0.0035 loss: 0.6866 03/05 19:21:08 - mmengine - INFO - Epoch(train) [88][3800/5005] lr: 1.0000e-03 eta: 7:14:09 time: 0.4240 data_time: 0.0036 loss: 0.7405 03/05 19:21:50 - mmengine - INFO - Epoch(train) [88][3900/5005] lr: 1.0000e-03 eta: 7:13:27 time: 0.4225 data_time: 0.0034 loss: 0.6910 03/05 19:22:33 - mmengine - INFO - Epoch(train) [88][4000/5005] lr: 1.0000e-03 eta: 7:12:44 time: 0.4244 data_time: 0.0036 loss: 0.5625 03/05 19:23:16 - mmengine - INFO - Epoch(train) [88][4100/5005] lr: 1.0000e-03 eta: 7:12:02 time: 0.4251 data_time: 0.0034 loss: 0.6977 03/05 19:23:59 - mmengine - INFO - Epoch(train) [88][4200/5005] lr: 1.0000e-03 eta: 7:11:19 time: 0.4231 data_time: 0.0033 loss: 0.6747 03/05 19:24:41 - mmengine - INFO - Epoch(train) [88][4300/5005] lr: 1.0000e-03 eta: 7:10:37 time: 0.4202 data_time: 0.0034 loss: 0.5958 03/05 19:25:24 - mmengine - INFO - Epoch(train) [88][4400/5005] lr: 1.0000e-03 eta: 7:09:54 time: 0.4307 data_time: 0.0033 loss: 0.7465 03/05 19:26:07 - mmengine - INFO - Epoch(train) [88][4500/5005] lr: 1.0000e-03 eta: 7:09:12 time: 0.4246 data_time: 0.0036 loss: 0.5450 03/05 19:26:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:26:49 - mmengine - INFO - Epoch(train) [88][4600/5005] lr: 1.0000e-03 eta: 7:08:29 time: 0.4213 data_time: 0.0036 loss: 0.5750 03/05 19:27:32 - mmengine - INFO - Epoch(train) [88][4700/5005] lr: 1.0000e-03 eta: 7:07:47 time: 0.4185 data_time: 0.0038 loss: 0.7028 03/05 19:28:15 - mmengine - INFO - Epoch(train) [88][4800/5005] lr: 1.0000e-03 eta: 7:07:04 time: 0.4296 data_time: 0.0034 loss: 0.6116 03/05 19:28:57 - mmengine - INFO - Epoch(train) [88][4900/5005] lr: 1.0000e-03 eta: 7:06:22 time: 0.4225 data_time: 0.0035 loss: 0.7181 03/05 19:29:40 - mmengine - INFO - Epoch(train) [88][5000/5005] lr: 1.0000e-03 eta: 7:05:39 time: 0.4210 data_time: 0.0034 loss: 0.5923 03/05 19:29:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:29:43 - mmengine - INFO - Saving checkpoint at 88 epochs 03/05 19:29:55 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:00:08 time: 0.0278 data_time: 0.0005 03/05 19:30:09 - mmengine - INFO - Epoch(val) [88][196/196] accuracy/top1: 79.0180 accuracy/top5: 94.4000 03/05 19:30:55 - mmengine - INFO - Epoch(train) [89][ 100/5005] lr: 1.0000e-03 eta: 7:04:55 time: 0.4224 data_time: 0.0036 loss: 0.8520 03/05 19:31:38 - mmengine - INFO - Epoch(train) [89][ 200/5005] lr: 1.0000e-03 eta: 7:04:12 time: 0.4273 data_time: 0.0034 loss: 0.7538 03/05 19:32:21 - mmengine - INFO - Epoch(train) [89][ 300/5005] lr: 1.0000e-03 eta: 7:03:30 time: 0.4247 data_time: 0.0036 loss: 0.7438 03/05 19:33:04 - mmengine - INFO - Epoch(train) [89][ 400/5005] lr: 1.0000e-03 eta: 7:02:47 time: 0.4230 data_time: 0.0036 loss: 0.7214 03/05 19:33:47 - mmengine - INFO - Epoch(train) [89][ 500/5005] lr: 1.0000e-03 eta: 7:02:05 time: 0.4271 data_time: 0.0035 loss: 0.5687 03/05 19:34:13 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:34:30 - mmengine - INFO - Epoch(train) [89][ 600/5005] lr: 1.0000e-03 eta: 7:01:22 time: 0.4215 data_time: 0.0035 loss: 0.8099 03/05 19:35:13 - mmengine - INFO - Epoch(train) [89][ 700/5005] lr: 1.0000e-03 eta: 7:00:40 time: 0.4223 data_time: 0.0038 loss: 0.7877 03/05 19:35:55 - mmengine - INFO - Epoch(train) [89][ 800/5005] lr: 1.0000e-03 eta: 6:59:57 time: 0.4288 data_time: 0.0036 loss: 0.6963 03/05 19:36:38 - mmengine - INFO - Epoch(train) [89][ 900/5005] lr: 1.0000e-03 eta: 6:59:15 time: 0.4240 data_time: 0.0036 loss: 0.5995 03/05 19:37:21 - mmengine - INFO - Epoch(train) [89][1000/5005] lr: 1.0000e-03 eta: 6:58:32 time: 0.4257 data_time: 0.0036 loss: 0.5600 03/05 19:38:04 - mmengine - INFO - Epoch(train) [89][1100/5005] lr: 1.0000e-03 eta: 6:57:50 time: 0.4265 data_time: 0.0037 loss: 0.6874 03/05 19:38:47 - mmengine - INFO - Epoch(train) [89][1200/5005] lr: 1.0000e-03 eta: 6:57:07 time: 0.4243 data_time: 0.0036 loss: 0.7127 03/05 19:39:30 - mmengine - INFO - Epoch(train) [89][1300/5005] lr: 1.0000e-03 eta: 6:56:25 time: 0.4214 data_time: 0.0034 loss: 0.7319 03/05 19:40:13 - mmengine - INFO - Epoch(train) [89][1400/5005] lr: 1.0000e-03 eta: 6:55:42 time: 0.4223 data_time: 0.0039 loss: 0.7428 03/05 19:40:55 - mmengine - INFO - Epoch(train) [89][1500/5005] lr: 1.0000e-03 eta: 6:55:00 time: 0.4275 data_time: 0.0035 loss: 0.8129 03/05 19:41:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:41:38 - mmengine - INFO - Epoch(train) [89][1600/5005] lr: 1.0000e-03 eta: 6:54:17 time: 0.4266 data_time: 0.0035 loss: 0.7157 03/05 19:42:21 - mmengine - INFO - Epoch(train) [89][1700/5005] lr: 1.0000e-03 eta: 6:53:35 time: 0.4338 data_time: 0.0035 loss: 0.7980 03/05 19:43:04 - mmengine - INFO - Epoch(train) [89][1800/5005] lr: 1.0000e-03 eta: 6:52:52 time: 0.4300 data_time: 0.0036 loss: 0.6593 03/05 19:43:46 - mmengine - INFO - Epoch(train) [89][1900/5005] lr: 1.0000e-03 eta: 6:52:10 time: 0.4251 data_time: 0.0034 loss: 0.7092 03/05 19:44:29 - mmengine - INFO - Epoch(train) [89][2000/5005] lr: 1.0000e-03 eta: 6:51:27 time: 0.4278 data_time: 0.0037 loss: 0.7602 03/05 19:45:12 - mmengine - INFO - Epoch(train) [89][2100/5005] lr: 1.0000e-03 eta: 6:50:45 time: 0.4300 data_time: 0.0035 loss: 0.5920 03/05 19:45:55 - mmengine - INFO - Epoch(train) [89][2200/5005] lr: 1.0000e-03 eta: 6:50:02 time: 0.4274 data_time: 0.0034 loss: 0.6213 03/05 19:46:37 - mmengine - INFO - Epoch(train) [89][2300/5005] lr: 1.0000e-03 eta: 6:49:20 time: 0.4242 data_time: 0.0035 loss: 0.7342 03/05 19:47:20 - mmengine - INFO - Epoch(train) [89][2400/5005] lr: 1.0000e-03 eta: 6:48:37 time: 0.4312 data_time: 0.0035 loss: 0.7263 03/05 19:48:03 - mmengine - INFO - Epoch(train) [89][2500/5005] lr: 1.0000e-03 eta: 6:47:55 time: 0.4250 data_time: 0.0034 loss: 0.6094 03/05 19:48:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:48:46 - mmengine - INFO - Epoch(train) [89][2600/5005] lr: 1.0000e-03 eta: 6:47:12 time: 0.4227 data_time: 0.0036 loss: 0.6913 03/05 19:49:29 - mmengine - INFO - Epoch(train) [89][2700/5005] lr: 1.0000e-03 eta: 6:46:30 time: 0.4325 data_time: 0.0033 loss: 0.6266 03/05 19:50:11 - mmengine - INFO - Epoch(train) [89][2800/5005] lr: 1.0000e-03 eta: 6:45:47 time: 0.4263 data_time: 0.0035 loss: 0.6747 03/05 19:50:54 - mmengine - INFO - Epoch(train) [89][2900/5005] lr: 1.0000e-03 eta: 6:45:05 time: 0.4323 data_time: 0.0034 loss: 0.6346 03/05 19:51:37 - mmengine - INFO - Epoch(train) [89][3000/5005] lr: 1.0000e-03 eta: 6:44:22 time: 0.4205 data_time: 0.0036 loss: 0.5571 03/05 19:52:20 - mmengine - INFO - Epoch(train) [89][3100/5005] lr: 1.0000e-03 eta: 6:43:40 time: 0.4230 data_time: 0.0034 loss: 0.6881 03/05 19:53:03 - mmengine - INFO - Epoch(train) [89][3200/5005] lr: 1.0000e-03 eta: 6:42:57 time: 0.4318 data_time: 0.0035 loss: 0.6747 03/05 19:53:45 - mmengine - INFO - Epoch(train) [89][3300/5005] lr: 1.0000e-03 eta: 6:42:15 time: 0.4215 data_time: 0.0039 loss: 0.7048 03/05 19:54:29 - mmengine - INFO - Epoch(train) [89][3400/5005] lr: 1.0000e-03 eta: 6:41:32 time: 0.4274 data_time: 0.0034 loss: 0.5798 03/05 19:55:11 - mmengine - INFO - Epoch(train) [89][3500/5005] lr: 1.0000e-03 eta: 6:40:50 time: 0.4310 data_time: 0.0034 loss: 0.7072 03/05 19:55:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 19:55:54 - mmengine - INFO - Epoch(train) [89][3600/5005] lr: 1.0000e-03 eta: 6:40:07 time: 0.4291 data_time: 0.0036 loss: 0.7746 03/05 19:56:37 - mmengine - INFO - Epoch(train) [89][3700/5005] lr: 1.0000e-03 eta: 6:39:25 time: 0.4271 data_time: 0.0035 loss: 0.7046 03/05 19:57:20 - mmengine - INFO - Epoch(train) [89][3800/5005] lr: 1.0000e-03 eta: 6:38:42 time: 0.4253 data_time: 0.0034 loss: 0.5961 03/05 19:58:03 - mmengine - INFO - Epoch(train) [89][3900/5005] lr: 1.0000e-03 eta: 6:38:00 time: 0.4251 data_time: 0.0037 loss: 0.6976 03/05 19:58:45 - mmengine - INFO - Epoch(train) [89][4000/5005] lr: 1.0000e-03 eta: 6:37:17 time: 0.4236 data_time: 0.0034 loss: 0.7039 03/05 19:59:28 - mmengine - INFO - Epoch(train) [89][4100/5005] lr: 1.0000e-03 eta: 6:36:35 time: 0.4272 data_time: 0.0036 loss: 0.5976 03/05 20:00:11 - mmengine - INFO - Epoch(train) [89][4200/5005] lr: 1.0000e-03 eta: 6:35:52 time: 0.4300 data_time: 0.0037 loss: 0.6387 03/05 20:00:54 - mmengine - INFO - Epoch(train) [89][4300/5005] lr: 1.0000e-03 eta: 6:35:10 time: 0.4359 data_time: 0.0036 loss: 0.5877 03/05 20:01:37 - mmengine - INFO - Epoch(train) [89][4400/5005] lr: 1.0000e-03 eta: 6:34:27 time: 0.4248 data_time: 0.0036 loss: 0.7234 03/05 20:02:20 - mmengine - INFO - Epoch(train) [89][4500/5005] lr: 1.0000e-03 eta: 6:33:45 time: 0.4237 data_time: 0.0034 loss: 0.7671 03/05 20:02:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:03:03 - mmengine - INFO - Epoch(train) [89][4600/5005] lr: 1.0000e-03 eta: 6:33:02 time: 0.4263 data_time: 0.0037 loss: 0.6212 03/05 20:03:45 - mmengine - INFO - Epoch(train) [89][4700/5005] lr: 1.0000e-03 eta: 6:32:20 time: 0.4235 data_time: 0.0035 loss: 0.6684 03/05 20:04:28 - mmengine - INFO - Epoch(train) [89][4800/5005] lr: 1.0000e-03 eta: 6:31:37 time: 0.4243 data_time: 0.0034 loss: 0.6993 03/05 20:05:11 - mmengine - INFO - Epoch(train) [89][4900/5005] lr: 1.0000e-03 eta: 6:30:55 time: 0.4222 data_time: 0.0036 loss: 0.7308 03/05 20:05:53 - mmengine - INFO - Epoch(train) [89][5000/5005] lr: 1.0000e-03 eta: 6:30:12 time: 0.4195 data_time: 0.0035 loss: 0.8616 03/05 20:05:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:05:56 - mmengine - INFO - Saving checkpoint at 89 epochs 03/05 20:06:08 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:00:07 time: 0.0276 data_time: 0.0004 03/05 20:06:22 - mmengine - INFO - Epoch(val) [89][196/196] accuracy/top1: 78.8420 accuracy/top5: 94.4420 03/05 20:07:08 - mmengine - INFO - Epoch(train) [90][ 100/5005] lr: 1.0000e-03 eta: 6:29:28 time: 0.4268 data_time: 0.0039 loss: 0.7100 03/05 20:07:51 - mmengine - INFO - Epoch(train) [90][ 200/5005] lr: 1.0000e-03 eta: 6:28:45 time: 0.4317 data_time: 0.0041 loss: 0.7770 03/05 20:08:34 - mmengine - INFO - Epoch(train) [90][ 300/5005] lr: 1.0000e-03 eta: 6:28:03 time: 0.4250 data_time: 0.0035 loss: 0.8068 03/05 20:09:17 - mmengine - INFO - Epoch(train) [90][ 400/5005] lr: 1.0000e-03 eta: 6:27:20 time: 0.4423 data_time: 0.0037 loss: 0.6219 03/05 20:09:59 - mmengine - INFO - Epoch(train) [90][ 500/5005] lr: 1.0000e-03 eta: 6:26:38 time: 0.4220 data_time: 0.0035 loss: 0.7333 03/05 20:10:23 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:10:42 - mmengine - INFO - Epoch(train) [90][ 600/5005] lr: 1.0000e-03 eta: 6:25:55 time: 0.4250 data_time: 0.0036 loss: 0.8449 03/05 20:11:24 - mmengine - INFO - Epoch(train) [90][ 700/5005] lr: 1.0000e-03 eta: 6:25:13 time: 0.4271 data_time: 0.0033 loss: 0.7142 03/05 20:12:07 - mmengine - INFO - Epoch(train) [90][ 800/5005] lr: 1.0000e-03 eta: 6:24:30 time: 0.4226 data_time: 0.0040 loss: 0.5842 03/05 20:12:50 - mmengine - INFO - Epoch(train) [90][ 900/5005] lr: 1.0000e-03 eta: 6:23:48 time: 0.4249 data_time: 0.0035 loss: 0.6145 03/05 20:13:33 - mmengine - INFO - Epoch(train) [90][1000/5005] lr: 1.0000e-03 eta: 6:23:05 time: 0.4315 data_time: 0.0037 loss: 0.7953 03/05 20:14:16 - mmengine - INFO - Epoch(train) [90][1100/5005] lr: 1.0000e-03 eta: 6:22:23 time: 0.4265 data_time: 0.0037 loss: 0.6037 03/05 20:14:58 - mmengine - INFO - Epoch(train) [90][1200/5005] lr: 1.0000e-03 eta: 6:21:40 time: 0.4216 data_time: 0.0035 loss: 0.7323 03/05 20:15:41 - mmengine - INFO - Epoch(train) [90][1300/5005] lr: 1.0000e-03 eta: 6:20:58 time: 0.4212 data_time: 0.0037 loss: 0.9430 03/05 20:16:23 - mmengine - INFO - Epoch(train) [90][1400/5005] lr: 1.0000e-03 eta: 6:20:15 time: 0.4258 data_time: 0.0040 loss: 0.7498 03/05 20:17:06 - mmengine - INFO - Epoch(train) [90][1500/5005] lr: 1.0000e-03 eta: 6:19:33 time: 0.4304 data_time: 0.0040 loss: 0.7100 03/05 20:17:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:17:49 - mmengine - INFO - Epoch(train) [90][1600/5005] lr: 1.0000e-03 eta: 6:18:50 time: 0.4235 data_time: 0.0037 loss: 0.6114 03/05 20:18:32 - mmengine - INFO - Epoch(train) [90][1700/5005] lr: 1.0000e-03 eta: 6:18:08 time: 0.4246 data_time: 0.0035 loss: 0.7442 03/05 20:19:15 - mmengine - INFO - Epoch(train) [90][1800/5005] lr: 1.0000e-03 eta: 6:17:25 time: 0.4264 data_time: 0.0035 loss: 0.6423 03/05 20:19:58 - mmengine - INFO - Epoch(train) [90][1900/5005] lr: 1.0000e-03 eta: 6:16:43 time: 0.4280 data_time: 0.0038 loss: 0.6159 03/05 20:20:41 - mmengine - INFO - Epoch(train) [90][2000/5005] lr: 1.0000e-03 eta: 6:16:00 time: 0.4238 data_time: 0.0037 loss: 0.7951 03/05 20:21:24 - mmengine - INFO - Epoch(train) [90][2100/5005] lr: 1.0000e-03 eta: 6:15:18 time: 0.4340 data_time: 0.0036 loss: 0.7786 03/05 20:22:07 - mmengine - INFO - Epoch(train) [90][2200/5005] lr: 1.0000e-03 eta: 6:14:35 time: 0.4365 data_time: 0.0036 loss: 0.6740 03/05 20:22:50 - mmengine - INFO - Epoch(train) [90][2300/5005] lr: 1.0000e-03 eta: 6:13:53 time: 0.4269 data_time: 0.0036 loss: 0.7459 03/05 20:23:33 - mmengine - INFO - Epoch(train) [90][2400/5005] lr: 1.0000e-03 eta: 6:13:10 time: 0.4257 data_time: 0.0036 loss: 0.6541 03/05 20:24:16 - mmengine - INFO - Epoch(train) [90][2500/5005] lr: 1.0000e-03 eta: 6:12:28 time: 0.4237 data_time: 0.0037 loss: 0.6400 03/05 20:24:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:24:58 - mmengine - INFO - Epoch(train) [90][2600/5005] lr: 1.0000e-03 eta: 6:11:45 time: 0.4243 data_time: 0.0035 loss: 0.7092 03/05 20:25:41 - mmengine - INFO - Epoch(train) [90][2700/5005] lr: 1.0000e-03 eta: 6:11:03 time: 0.4246 data_time: 0.0037 loss: 0.6600 03/05 20:26:24 - mmengine - INFO - Epoch(train) [90][2800/5005] lr: 1.0000e-03 eta: 6:10:20 time: 0.4267 data_time: 0.0035 loss: 0.6405 03/05 20:27:07 - mmengine - INFO - Epoch(train) [90][2900/5005] lr: 1.0000e-03 eta: 6:09:38 time: 0.4225 data_time: 0.0035 loss: 0.7730 03/05 20:27:50 - mmengine - INFO - Epoch(train) [90][3000/5005] lr: 1.0000e-03 eta: 6:08:55 time: 0.4233 data_time: 0.0038 loss: 0.6606 03/05 20:28:32 - mmengine - INFO - Epoch(train) [90][3100/5005] lr: 1.0000e-03 eta: 6:08:13 time: 0.4255 data_time: 0.0036 loss: 0.8333 03/05 20:29:15 - mmengine - INFO - Epoch(train) [90][3200/5005] lr: 1.0000e-03 eta: 6:07:30 time: 0.4246 data_time: 0.0039 loss: 0.6046 03/05 20:29:58 - mmengine - INFO - Epoch(train) [90][3300/5005] lr: 1.0000e-03 eta: 6:06:48 time: 0.4271 data_time: 0.0035 loss: 0.7266 03/05 20:30:40 - mmengine - INFO - Epoch(train) [90][3400/5005] lr: 1.0000e-03 eta: 6:06:05 time: 0.4232 data_time: 0.0036 loss: 0.5946 03/05 20:31:23 - mmengine - INFO - Epoch(train) [90][3500/5005] lr: 1.0000e-03 eta: 6:05:23 time: 0.4234 data_time: 0.0036 loss: 0.6725 03/05 20:31:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:32:06 - mmengine - INFO - Epoch(train) [90][3600/5005] lr: 1.0000e-03 eta: 6:04:40 time: 0.4227 data_time: 0.0036 loss: 0.7673 03/05 20:32:49 - mmengine - INFO - Epoch(train) [90][3700/5005] lr: 1.0000e-03 eta: 6:03:58 time: 0.4257 data_time: 0.0037 loss: 0.8120 03/05 20:33:32 - mmengine - INFO - Epoch(train) [90][3800/5005] lr: 1.0000e-03 eta: 6:03:15 time: 0.4222 data_time: 0.0037 loss: 0.9101 03/05 20:34:14 - mmengine - INFO - Epoch(train) [90][3900/5005] lr: 1.0000e-03 eta: 6:02:33 time: 0.4267 data_time: 0.0037 loss: 0.7342 03/05 20:34:58 - mmengine - INFO - Epoch(train) [90][4000/5005] lr: 1.0000e-03 eta: 6:01:50 time: 0.4343 data_time: 0.0035 loss: 0.6570 03/05 20:35:40 - mmengine - INFO - Epoch(train) [90][4100/5005] lr: 1.0000e-03 eta: 6:01:08 time: 0.4269 data_time: 0.0035 loss: 0.6870 03/05 20:36:23 - mmengine - INFO - Epoch(train) [90][4200/5005] lr: 1.0000e-03 eta: 6:00:25 time: 0.4244 data_time: 0.0035 loss: 0.6853 03/05 20:37:05 - mmengine - INFO - Epoch(train) [90][4300/5005] lr: 1.0000e-03 eta: 5:59:43 time: 0.4279 data_time: 0.0035 loss: 0.6968 03/05 20:37:48 - mmengine - INFO - Epoch(train) [90][4400/5005] lr: 1.0000e-03 eta: 5:59:00 time: 0.4326 data_time: 0.0035 loss: 0.8225 03/05 20:38:31 - mmengine - INFO - Epoch(train) [90][4500/5005] lr: 1.0000e-03 eta: 5:58:18 time: 0.4241 data_time: 0.0035 loss: 0.8334 03/05 20:38:54 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:39:14 - mmengine - INFO - Epoch(train) [90][4600/5005] lr: 1.0000e-03 eta: 5:57:35 time: 0.4200 data_time: 0.0037 loss: 0.7159 03/05 20:39:56 - mmengine - INFO - Epoch(train) [90][4700/5005] lr: 1.0000e-03 eta: 5:56:53 time: 0.4237 data_time: 0.0034 loss: 0.7212 03/05 20:40:39 - mmengine - INFO - Epoch(train) [90][4800/5005] lr: 1.0000e-03 eta: 5:56:10 time: 0.4221 data_time: 0.0036 loss: 0.6833 03/05 20:41:22 - mmengine - INFO - Epoch(train) [90][4900/5005] lr: 1.0000e-03 eta: 5:55:27 time: 0.4245 data_time: 0.0037 loss: 0.6947 03/05 20:42:04 - mmengine - INFO - Epoch(train) [90][5000/5005] lr: 1.0000e-03 eta: 5:54:45 time: 0.4258 data_time: 0.0035 loss: 0.7199 03/05 20:42:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:42:07 - mmengine - INFO - Saving checkpoint at 90 epochs 03/05 20:42:19 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:00:08 time: 0.0298 data_time: 0.0005 03/05 20:42:33 - mmengine - INFO - Epoch(val) [90][196/196] accuracy/top1: 79.0280 accuracy/top5: 94.3600 03/05 20:43:20 - mmengine - INFO - Epoch(train) [91][ 100/5005] lr: 1.0000e-04 eta: 5:54:01 time: 0.4244 data_time: 0.0040 loss: 0.6245 03/05 20:44:03 - mmengine - INFO - Epoch(train) [91][ 200/5005] lr: 1.0000e-04 eta: 5:53:18 time: 0.4253 data_time: 0.0036 loss: 0.6829 03/05 20:44:46 - mmengine - INFO - Epoch(train) [91][ 300/5005] lr: 1.0000e-04 eta: 5:52:36 time: 0.4225 data_time: 0.0036 loss: 0.6933 03/05 20:45:28 - mmengine - INFO - Epoch(train) [91][ 400/5005] lr: 1.0000e-04 eta: 5:51:53 time: 0.4321 data_time: 0.0034 loss: 0.6422 03/05 20:46:11 - mmengine - INFO - Epoch(train) [91][ 500/5005] lr: 1.0000e-04 eta: 5:51:11 time: 0.4275 data_time: 0.0037 loss: 0.6627 03/05 20:46:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:46:54 - mmengine - INFO - Epoch(train) [91][ 600/5005] lr: 1.0000e-04 eta: 5:50:28 time: 0.4256 data_time: 0.0036 loss: 0.7399 03/05 20:47:37 - mmengine - INFO - Epoch(train) [91][ 700/5005] lr: 1.0000e-04 eta: 5:49:46 time: 0.4233 data_time: 0.0036 loss: 0.6631 03/05 20:48:20 - mmengine - INFO - Epoch(train) [91][ 800/5005] lr: 1.0000e-04 eta: 5:49:03 time: 0.4229 data_time: 0.0036 loss: 0.6851 03/05 20:49:03 - mmengine - INFO - Epoch(train) [91][ 900/5005] lr: 1.0000e-04 eta: 5:48:21 time: 0.4205 data_time: 0.0036 loss: 0.6520 03/05 20:49:46 - mmengine - INFO - Epoch(train) [91][1000/5005] lr: 1.0000e-04 eta: 5:47:38 time: 0.4291 data_time: 0.0036 loss: 0.6489 03/05 20:50:29 - mmengine - INFO - Epoch(train) [91][1100/5005] lr: 1.0000e-04 eta: 5:46:56 time: 0.4236 data_time: 0.0037 loss: 0.7314 03/05 20:51:11 - mmengine - INFO - Epoch(train) [91][1200/5005] lr: 1.0000e-04 eta: 5:46:13 time: 0.4262 data_time: 0.0037 loss: 0.5637 03/05 20:51:55 - mmengine - INFO - Epoch(train) [91][1300/5005] lr: 1.0000e-04 eta: 5:45:31 time: 0.4270 data_time: 0.0036 loss: 0.6516 03/05 20:52:37 - mmengine - INFO - Epoch(train) [91][1400/5005] lr: 1.0000e-04 eta: 5:44:48 time: 0.4345 data_time: 0.0035 loss: 0.7339 03/05 20:53:20 - mmengine - INFO - Epoch(train) [91][1500/5005] lr: 1.0000e-04 eta: 5:44:06 time: 0.4241 data_time: 0.0037 loss: 0.6307 03/05 20:53:42 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 20:54:03 - mmengine - INFO - Epoch(train) [91][1600/5005] lr: 1.0000e-04 eta: 5:43:23 time: 0.4219 data_time: 0.0035 loss: 0.7671 03/05 20:54:46 - mmengine - INFO - Epoch(train) [91][1700/5005] lr: 1.0000e-04 eta: 5:42:41 time: 0.4257 data_time: 0.0037 loss: 0.5961 03/05 20:55:29 - mmengine - INFO - Epoch(train) [91][1800/5005] lr: 1.0000e-04 eta: 5:41:58 time: 0.4242 data_time: 0.0038 loss: 0.5566 03/05 20:56:11 - mmengine - INFO - Epoch(train) [91][1900/5005] lr: 1.0000e-04 eta: 5:41:16 time: 0.4314 data_time: 0.0035 loss: 0.5309 03/05 20:56:54 - mmengine - INFO - Epoch(train) [91][2000/5005] lr: 1.0000e-04 eta: 5:40:33 time: 0.4258 data_time: 0.0035 loss: 0.6397 03/05 20:57:37 - mmengine - INFO - Epoch(train) [91][2100/5005] lr: 1.0000e-04 eta: 5:39:51 time: 0.4255 data_time: 0.0035 loss: 0.5564 03/05 20:58:19 - mmengine - INFO - Epoch(train) [91][2200/5005] lr: 1.0000e-04 eta: 5:39:08 time: 0.4235 data_time: 0.0038 loss: 0.6891 03/05 20:59:02 - mmengine - INFO - Epoch(train) [91][2300/5005] lr: 1.0000e-04 eta: 5:38:26 time: 0.4333 data_time: 0.0033 loss: 0.6959 03/05 20:59:45 - mmengine - INFO - Epoch(train) [91][2400/5005] lr: 1.0000e-04 eta: 5:37:43 time: 0.4255 data_time: 0.0035 loss: 0.7927 03/05 21:00:28 - mmengine - INFO - Epoch(train) [91][2500/5005] lr: 1.0000e-04 eta: 5:37:01 time: 0.4266 data_time: 0.0037 loss: 0.8211 03/05 21:00:49 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:01:11 - mmengine - INFO - Epoch(train) [91][2600/5005] lr: 1.0000e-04 eta: 5:36:18 time: 0.4295 data_time: 0.0036 loss: 0.5780 03/05 21:01:53 - mmengine - INFO - Epoch(train) [91][2700/5005] lr: 1.0000e-04 eta: 5:35:36 time: 0.4254 data_time: 0.0035 loss: 0.6284 03/05 21:02:36 - mmengine - INFO - Epoch(train) [91][2800/5005] lr: 1.0000e-04 eta: 5:34:53 time: 0.4263 data_time: 0.0036 loss: 0.6963 03/05 21:03:19 - mmengine - INFO - Epoch(train) [91][2900/5005] lr: 1.0000e-04 eta: 5:34:10 time: 0.4260 data_time: 0.0036 loss: 0.6280 03/05 21:04:02 - mmengine - INFO - Epoch(train) [91][3000/5005] lr: 1.0000e-04 eta: 5:33:28 time: 0.4285 data_time: 0.0036 loss: 0.6895 03/05 21:04:44 - mmengine - INFO - Epoch(train) [91][3100/5005] lr: 1.0000e-04 eta: 5:32:45 time: 0.4230 data_time: 0.0035 loss: 0.6056 03/05 21:05:27 - mmengine - INFO - Epoch(train) [91][3200/5005] lr: 1.0000e-04 eta: 5:32:03 time: 0.4251 data_time: 0.0037 loss: 0.5684 03/05 21:06:10 - mmengine - INFO - Epoch(train) [91][3300/5005] lr: 1.0000e-04 eta: 5:31:20 time: 0.4245 data_time: 0.0037 loss: 0.8217 03/05 21:06:53 - mmengine - INFO - Epoch(train) [91][3400/5005] lr: 1.0000e-04 eta: 5:30:38 time: 0.4277 data_time: 0.0036 loss: 0.6213 03/05 21:07:36 - mmengine - INFO - Epoch(train) [91][3500/5005] lr: 1.0000e-04 eta: 5:29:55 time: 0.4334 data_time: 0.0037 loss: 0.4713 03/05 21:07:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:08:19 - mmengine - INFO - Epoch(train) [91][3600/5005] lr: 1.0000e-04 eta: 5:29:13 time: 0.4252 data_time: 0.0037 loss: 0.6603 03/05 21:09:02 - mmengine - INFO - Epoch(train) [91][3700/5005] lr: 1.0000e-04 eta: 5:28:30 time: 0.4254 data_time: 0.0037 loss: 0.5828 03/05 21:09:44 - mmengine - INFO - Epoch(train) [91][3800/5005] lr: 1.0000e-04 eta: 5:27:48 time: 0.4265 data_time: 0.0037 loss: 0.6683 03/05 21:10:27 - mmengine - INFO - Epoch(train) [91][3900/5005] lr: 1.0000e-04 eta: 5:27:05 time: 0.4223 data_time: 0.0038 loss: 0.6486 03/05 21:11:10 - mmengine - INFO - Epoch(train) [91][4000/5005] lr: 1.0000e-04 eta: 5:26:23 time: 0.4234 data_time: 0.0036 loss: 0.8306 03/05 21:11:53 - mmengine - INFO - Epoch(train) [91][4100/5005] lr: 1.0000e-04 eta: 5:25:40 time: 0.4299 data_time: 0.0035 loss: 0.7270 03/05 21:12:36 - mmengine - INFO - Epoch(train) [91][4200/5005] lr: 1.0000e-04 eta: 5:24:58 time: 0.4355 data_time: 0.0034 loss: 0.6946 03/05 21:13:18 - mmengine - INFO - Epoch(train) [91][4300/5005] lr: 1.0000e-04 eta: 5:24:15 time: 0.4273 data_time: 0.0037 loss: 0.7341 03/05 21:14:01 - mmengine - INFO - Epoch(train) [91][4400/5005] lr: 1.0000e-04 eta: 5:23:33 time: 0.4251 data_time: 0.0036 loss: 0.6308 03/05 21:14:44 - mmengine - INFO - Epoch(train) [91][4500/5005] lr: 1.0000e-04 eta: 5:22:50 time: 0.4272 data_time: 0.0034 loss: 0.5905 03/05 21:15:06 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:15:27 - mmengine - INFO - Epoch(train) [91][4600/5005] lr: 1.0000e-04 eta: 5:22:08 time: 0.4254 data_time: 0.0036 loss: 0.6147 03/05 21:16:10 - mmengine - INFO - Epoch(train) [91][4700/5005] lr: 1.0000e-04 eta: 5:21:25 time: 0.4257 data_time: 0.0035 loss: 0.6780 03/05 21:16:53 - mmengine - INFO - Epoch(train) [91][4800/5005] lr: 1.0000e-04 eta: 5:20:43 time: 0.4246 data_time: 0.0036 loss: 0.6330 03/05 21:17:35 - mmengine - INFO - Epoch(train) [91][4900/5005] lr: 1.0000e-04 eta: 5:20:00 time: 0.4253 data_time: 0.0036 loss: 0.6806 03/05 21:18:18 - mmengine - INFO - Epoch(train) [91][5000/5005] lr: 1.0000e-04 eta: 5:19:18 time: 0.4249 data_time: 0.0033 loss: 0.7069 03/05 21:18:20 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:18:21 - mmengine - INFO - Saving checkpoint at 91 epochs 03/05 21:18:33 - mmengine - INFO - Epoch(val) [91][100/196] eta: 0:00:08 time: 0.0278 data_time: 0.0005 03/05 21:18:47 - mmengine - INFO - Epoch(val) [91][196/196] accuracy/top1: 79.4300 accuracy/top5: 94.4860 03/05 21:19:33 - mmengine - INFO - Epoch(train) [92][ 100/5005] lr: 1.0000e-04 eta: 5:18:33 time: 0.4252 data_time: 0.0036 loss: 0.6316 03/05 21:20:16 - mmengine - INFO - Epoch(train) [92][ 200/5005] lr: 1.0000e-04 eta: 5:17:51 time: 0.4185 data_time: 0.0038 loss: 0.6421 03/05 21:20:58 - mmengine - INFO - Epoch(train) [92][ 300/5005] lr: 1.0000e-04 eta: 5:17:08 time: 0.4394 data_time: 0.0040 loss: 0.5570 03/05 21:21:41 - mmengine - INFO - Epoch(train) [92][ 400/5005] lr: 1.0000e-04 eta: 5:16:26 time: 0.4277 data_time: 0.0036 loss: 0.7131 03/05 21:22:24 - mmengine - INFO - Epoch(train) [92][ 500/5005] lr: 1.0000e-04 eta: 5:15:43 time: 0.4200 data_time: 0.0035 loss: 0.5884 03/05 21:22:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:23:07 - mmengine - INFO - Epoch(train) [92][ 600/5005] lr: 1.0000e-04 eta: 5:15:01 time: 0.4303 data_time: 0.0037 loss: 0.7367 03/05 21:23:49 - mmengine - INFO - Epoch(train) [92][ 700/5005] lr: 1.0000e-04 eta: 5:14:18 time: 0.4212 data_time: 0.0036 loss: 0.6861 03/05 21:24:32 - mmengine - INFO - Epoch(train) [92][ 800/5005] lr: 1.0000e-04 eta: 5:13:36 time: 0.4264 data_time: 0.0040 loss: 0.5923 03/05 21:25:15 - mmengine - INFO - Epoch(train) [92][ 900/5005] lr: 1.0000e-04 eta: 5:12:53 time: 0.4286 data_time: 0.0038 loss: 0.7263 03/05 21:25:58 - mmengine - INFO - Epoch(train) [92][1000/5005] lr: 1.0000e-04 eta: 5:12:11 time: 0.4234 data_time: 0.0037 loss: 0.5941 03/05 21:26:40 - mmengine - INFO - Epoch(train) [92][1100/5005] lr: 1.0000e-04 eta: 5:11:28 time: 0.4264 data_time: 0.0038 loss: 0.7980 03/05 21:27:23 - mmengine - INFO - Epoch(train) [92][1200/5005] lr: 1.0000e-04 eta: 5:10:46 time: 0.4235 data_time: 0.0038 loss: 0.5703 03/05 21:28:06 - mmengine - INFO - Epoch(train) [92][1300/5005] lr: 1.0000e-04 eta: 5:10:03 time: 0.4239 data_time: 0.0043 loss: 0.7142 03/05 21:28:49 - mmengine - INFO - Epoch(train) [92][1400/5005] lr: 1.0000e-04 eta: 5:09:21 time: 0.4314 data_time: 0.0036 loss: 0.5806 03/05 21:29:31 - mmengine - INFO - Epoch(train) [92][1500/5005] lr: 1.0000e-04 eta: 5:08:38 time: 0.4344 data_time: 0.0037 loss: 0.6056 03/05 21:29:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:30:14 - mmengine - INFO - Epoch(train) [92][1600/5005] lr: 1.0000e-04 eta: 5:07:56 time: 0.4230 data_time: 0.0035 loss: 0.6446 03/05 21:30:57 - mmengine - INFO - Epoch(train) [92][1700/5005] lr: 1.0000e-04 eta: 5:07:13 time: 0.4266 data_time: 0.0037 loss: 0.6820 03/05 21:31:40 - mmengine - INFO - Epoch(train) [92][1800/5005] lr: 1.0000e-04 eta: 5:06:31 time: 0.4255 data_time: 0.0034 loss: 0.7443 03/05 21:32:23 - mmengine - INFO - Epoch(train) [92][1900/5005] lr: 1.0000e-04 eta: 5:05:48 time: 0.4287 data_time: 0.0038 loss: 0.6458 03/05 21:33:06 - mmengine - INFO - Epoch(train) [92][2000/5005] lr: 1.0000e-04 eta: 5:05:06 time: 0.4293 data_time: 0.0035 loss: 0.5790 03/05 21:33:48 - mmengine - INFO - Epoch(train) [92][2100/5005] lr: 1.0000e-04 eta: 5:04:23 time: 0.4305 data_time: 0.0034 loss: 0.7158 03/05 21:34:31 - mmengine - INFO - Epoch(train) [92][2200/5005] lr: 1.0000e-04 eta: 5:03:40 time: 0.4237 data_time: 0.0035 loss: 0.7257 03/05 21:35:14 - mmengine - INFO - Epoch(train) [92][2300/5005] lr: 1.0000e-04 eta: 5:02:58 time: 0.4271 data_time: 0.0036 loss: 0.7454 03/05 21:35:57 - mmengine - INFO - Epoch(train) [92][2400/5005] lr: 1.0000e-04 eta: 5:02:15 time: 0.4319 data_time: 0.0037 loss: 0.7339 03/05 21:36:40 - mmengine - INFO - Epoch(train) [92][2500/5005] lr: 1.0000e-04 eta: 5:01:33 time: 0.4237 data_time: 0.0035 loss: 0.5811 03/05 21:36:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:37:23 - mmengine - INFO - Epoch(train) [92][2600/5005] lr: 1.0000e-04 eta: 5:00:50 time: 0.4321 data_time: 0.0036 loss: 0.6148 03/05 21:38:05 - mmengine - INFO - Epoch(train) [92][2700/5005] lr: 1.0000e-04 eta: 5:00:08 time: 0.4164 data_time: 0.0035 loss: 0.6669 03/05 21:38:48 - mmengine - INFO - Epoch(train) [92][2800/5005] lr: 1.0000e-04 eta: 4:59:25 time: 0.4255 data_time: 0.0038 loss: 0.6439 03/05 21:39:31 - mmengine - INFO - Epoch(train) [92][2900/5005] lr: 1.0000e-04 eta: 4:58:43 time: 0.4262 data_time: 0.0036 loss: 0.6975 03/05 21:40:14 - mmengine - INFO - Epoch(train) [92][3000/5005] lr: 1.0000e-04 eta: 4:58:00 time: 0.4283 data_time: 0.0036 loss: 0.6887 03/05 21:40:57 - mmengine - INFO - Epoch(train) [92][3100/5005] lr: 1.0000e-04 eta: 4:57:18 time: 0.4296 data_time: 0.0035 loss: 0.7382 03/05 21:41:40 - mmengine - INFO - Epoch(train) [92][3200/5005] lr: 1.0000e-04 eta: 4:56:35 time: 0.4199 data_time: 0.0035 loss: 0.6306 03/05 21:42:23 - mmengine - INFO - Epoch(train) [92][3300/5005] lr: 1.0000e-04 eta: 4:55:53 time: 0.4247 data_time: 0.0036 loss: 0.5908 03/05 21:43:05 - mmengine - INFO - Epoch(train) [92][3400/5005] lr: 1.0000e-04 eta: 4:55:10 time: 0.4211 data_time: 0.0036 loss: 0.6285 03/05 21:43:48 - mmengine - INFO - Epoch(train) [92][3500/5005] lr: 1.0000e-04 eta: 4:54:28 time: 0.4243 data_time: 0.0036 loss: 0.7044 03/05 21:44:08 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:44:31 - mmengine - INFO - Epoch(train) [92][3600/5005] lr: 1.0000e-04 eta: 4:53:45 time: 0.4220 data_time: 0.0036 loss: 0.7349 03/05 21:45:14 - mmengine - INFO - Epoch(train) [92][3700/5005] lr: 1.0000e-04 eta: 4:53:03 time: 0.4244 data_time: 0.0039 loss: 0.5716 03/05 21:45:57 - mmengine - INFO - Epoch(train) [92][3800/5005] lr: 1.0000e-04 eta: 4:52:20 time: 0.4259 data_time: 0.0035 loss: 0.6240 03/05 21:46:40 - mmengine - INFO - Epoch(train) [92][3900/5005] lr: 1.0000e-04 eta: 4:51:38 time: 0.4210 data_time: 0.0035 loss: 0.5941 03/05 21:47:22 - mmengine - INFO - Epoch(train) [92][4000/5005] lr: 1.0000e-04 eta: 4:50:55 time: 0.4265 data_time: 0.0035 loss: 0.7114 03/05 21:48:05 - mmengine - INFO - Epoch(train) [92][4100/5005] lr: 1.0000e-04 eta: 4:50:13 time: 0.4288 data_time: 0.0036 loss: 0.6028 03/05 21:48:48 - mmengine - INFO - Epoch(train) [92][4200/5005] lr: 1.0000e-04 eta: 4:49:30 time: 0.4258 data_time: 0.0035 loss: 0.6837 03/05 21:49:31 - mmengine - INFO - Epoch(train) [92][4300/5005] lr: 1.0000e-04 eta: 4:48:48 time: 0.4230 data_time: 0.0036 loss: 0.7095 03/05 21:50:14 - mmengine - INFO - Epoch(train) [92][4400/5005] lr: 1.0000e-04 eta: 4:48:05 time: 0.4299 data_time: 0.0038 loss: 0.6237 03/05 21:50:56 - mmengine - INFO - Epoch(train) [92][4500/5005] lr: 1.0000e-04 eta: 4:47:23 time: 0.4232 data_time: 0.0035 loss: 0.6325 03/05 21:51:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:51:39 - mmengine - INFO - Epoch(train) [92][4600/5005] lr: 1.0000e-04 eta: 4:46:40 time: 0.4209 data_time: 0.0036 loss: 0.8552 03/05 21:52:22 - mmengine - INFO - Epoch(train) [92][4700/5005] lr: 1.0000e-04 eta: 4:45:58 time: 0.4260 data_time: 0.0039 loss: 0.6300 03/05 21:53:05 - mmengine - INFO - Epoch(train) [92][4800/5005] lr: 1.0000e-04 eta: 4:45:15 time: 0.4294 data_time: 0.0035 loss: 0.5056 03/05 21:53:48 - mmengine - INFO - Epoch(train) [92][4900/5005] lr: 1.0000e-04 eta: 4:44:33 time: 0.4274 data_time: 0.0035 loss: 0.6256 03/05 21:54:31 - mmengine - INFO - Epoch(train) [92][5000/5005] lr: 1.0000e-04 eta: 4:43:50 time: 0.4197 data_time: 0.0032 loss: 0.7142 03/05 21:54:33 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:54:34 - mmengine - INFO - Saving checkpoint at 92 epochs 03/05 21:54:46 - mmengine - INFO - Epoch(val) [92][100/196] eta: 0:00:08 time: 0.0277 data_time: 0.0005 03/05 21:55:00 - mmengine - INFO - Epoch(val) [92][196/196] accuracy/top1: 79.4120 accuracy/top5: 94.5160 03/05 21:55:46 - mmengine - INFO - Epoch(train) [93][ 100/5005] lr: 1.0000e-04 eta: 4:43:06 time: 0.4283 data_time: 0.0036 loss: 0.7658 03/05 21:56:29 - mmengine - INFO - Epoch(train) [93][ 200/5005] lr: 1.0000e-04 eta: 4:42:23 time: 0.4301 data_time: 0.0042 loss: 0.6923 03/05 21:57:12 - mmengine - INFO - Epoch(train) [93][ 300/5005] lr: 1.0000e-04 eta: 4:41:41 time: 0.4271 data_time: 0.0037 loss: 0.6149 03/05 21:57:55 - mmengine - INFO - Epoch(train) [93][ 400/5005] lr: 1.0000e-04 eta: 4:40:58 time: 0.4266 data_time: 0.0039 loss: 0.5622 03/05 21:58:38 - mmengine - INFO - Epoch(train) [93][ 500/5005] lr: 1.0000e-04 eta: 4:40:16 time: 0.4270 data_time: 0.0039 loss: 0.5201 03/05 21:58:55 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 21:59:21 - mmengine - INFO - Epoch(train) [93][ 600/5005] lr: 1.0000e-04 eta: 4:39:33 time: 0.4358 data_time: 0.0036 loss: 0.6988 03/05 22:00:04 - mmengine - INFO - Epoch(train) [93][ 700/5005] lr: 1.0000e-04 eta: 4:38:51 time: 0.4228 data_time: 0.0037 loss: 0.6599 03/05 22:00:47 - mmengine - INFO - Epoch(train) [93][ 800/5005] lr: 1.0000e-04 eta: 4:38:08 time: 0.4264 data_time: 0.0037 loss: 0.6157 03/05 22:01:30 - mmengine - INFO - Epoch(train) [93][ 900/5005] lr: 1.0000e-04 eta: 4:37:26 time: 0.4284 data_time: 0.0036 loss: 0.5743 03/05 22:02:12 - mmengine - INFO - Epoch(train) [93][1000/5005] lr: 1.0000e-04 eta: 4:36:43 time: 0.4238 data_time: 0.0036 loss: 0.7281 03/05 22:02:55 - mmengine - INFO - Epoch(train) [93][1100/5005] lr: 1.0000e-04 eta: 4:36:01 time: 0.4278 data_time: 0.0038 loss: 0.5793 03/05 22:03:38 - mmengine - INFO - Epoch(train) [93][1200/5005] lr: 1.0000e-04 eta: 4:35:18 time: 0.4320 data_time: 0.0037 loss: 0.8311 03/05 22:04:21 - mmengine - INFO - Epoch(train) [93][1300/5005] lr: 1.0000e-04 eta: 4:34:36 time: 0.4256 data_time: 0.0042 loss: 0.6722 03/05 22:05:04 - mmengine - INFO - Epoch(train) [93][1400/5005] lr: 1.0000e-04 eta: 4:33:53 time: 0.4239 data_time: 0.0035 loss: 0.5208 03/05 22:05:46 - mmengine - INFO - Epoch(train) [93][1500/5005] lr: 1.0000e-04 eta: 4:33:11 time: 0.4341 data_time: 0.0036 loss: 0.6494 03/05 22:06:04 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:06:29 - mmengine - INFO - Epoch(train) [93][1600/5005] lr: 1.0000e-04 eta: 4:32:28 time: 0.4244 data_time: 0.0036 loss: 0.8542 03/05 22:07:12 - mmengine - INFO - Epoch(train) [93][1700/5005] lr: 1.0000e-04 eta: 4:31:46 time: 0.4272 data_time: 0.0036 loss: 0.7232 03/05 22:07:55 - mmengine - INFO - Epoch(train) [93][1800/5005] lr: 1.0000e-04 eta: 4:31:03 time: 0.4244 data_time: 0.0038 loss: 0.6727 03/05 22:08:38 - mmengine - INFO - Epoch(train) [93][1900/5005] lr: 1.0000e-04 eta: 4:30:21 time: 0.4267 data_time: 0.0044 loss: 0.5116 03/05 22:09:21 - mmengine - INFO - Epoch(train) [93][2000/5005] lr: 1.0000e-04 eta: 4:29:38 time: 0.4292 data_time: 0.0039 loss: 0.6805 03/05 22:10:03 - mmengine - INFO - Epoch(train) [93][2100/5005] lr: 1.0000e-04 eta: 4:28:55 time: 0.4291 data_time: 0.0038 loss: 0.4822 03/05 22:10:46 - mmengine - INFO - Epoch(train) [93][2200/5005] lr: 1.0000e-04 eta: 4:28:13 time: 0.4262 data_time: 0.0040 loss: 0.5646 03/05 22:11:29 - mmengine - INFO - Epoch(train) [93][2300/5005] lr: 1.0000e-04 eta: 4:27:30 time: 0.4308 data_time: 0.0036 loss: 0.6452 03/05 22:12:12 - mmengine - INFO - Epoch(train) [93][2400/5005] lr: 1.0000e-04 eta: 4:26:48 time: 0.4248 data_time: 0.0037 loss: 0.6692 03/05 22:12:55 - mmengine - INFO - Epoch(train) [93][2500/5005] lr: 1.0000e-04 eta: 4:26:05 time: 0.4268 data_time: 0.0035 loss: 0.6279 03/05 22:13:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:13:38 - mmengine - INFO - Epoch(train) [93][2600/5005] lr: 1.0000e-04 eta: 4:25:23 time: 0.4271 data_time: 0.0035 loss: 0.7844 03/05 22:14:21 - mmengine - INFO - Epoch(train) [93][2700/5005] lr: 1.0000e-04 eta: 4:24:40 time: 0.4299 data_time: 0.0036 loss: 0.6511 03/05 22:15:03 - mmengine - INFO - Epoch(train) [93][2800/5005] lr: 1.0000e-04 eta: 4:23:58 time: 0.4266 data_time: 0.0037 loss: 0.7575 03/05 22:15:46 - mmengine - INFO - Epoch(train) [93][2900/5005] lr: 1.0000e-04 eta: 4:23:15 time: 0.4256 data_time: 0.0036 loss: 0.6987 03/05 22:16:29 - mmengine - INFO - Epoch(train) [93][3000/5005] lr: 1.0000e-04 eta: 4:22:33 time: 0.4256 data_time: 0.0036 loss: 0.6034 03/05 22:17:12 - mmengine - INFO - Epoch(train) [93][3100/5005] lr: 1.0000e-04 eta: 4:21:50 time: 0.4261 data_time: 0.0036 loss: 0.7152 03/05 22:17:54 - mmengine - INFO - Epoch(train) [93][3200/5005] lr: 1.0000e-04 eta: 4:21:08 time: 0.4263 data_time: 0.0035 loss: 0.6038 03/05 22:18:37 - mmengine - INFO - Epoch(train) [93][3300/5005] lr: 1.0000e-04 eta: 4:20:25 time: 0.4238 data_time: 0.0039 loss: 0.5789 03/05 22:19:20 - mmengine - INFO - Epoch(train) [93][3400/5005] lr: 1.0000e-04 eta: 4:19:43 time: 0.4281 data_time: 0.0037 loss: 0.5891 03/05 22:20:02 - mmengine - INFO - Epoch(train) [93][3500/5005] lr: 1.0000e-04 eta: 4:19:00 time: 0.4242 data_time: 0.0035 loss: 0.5916 03/05 22:20:19 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:20:45 - mmengine - INFO - Epoch(train) [93][3600/5005] lr: 1.0000e-04 eta: 4:18:18 time: 0.4237 data_time: 0.0035 loss: 0.6439 03/05 22:21:28 - mmengine - INFO - Epoch(train) [93][3700/5005] lr: 1.0000e-04 eta: 4:17:35 time: 0.4212 data_time: 0.0036 loss: 0.7511 03/05 22:22:11 - mmengine - INFO - Epoch(train) [93][3800/5005] lr: 1.0000e-04 eta: 4:16:53 time: 0.4307 data_time: 0.0038 loss: 0.5797 03/05 22:22:54 - mmengine - INFO - Epoch(train) [93][3900/5005] lr: 1.0000e-04 eta: 4:16:10 time: 0.4243 data_time: 0.0038 loss: 0.5551 03/05 22:23:36 - mmengine - INFO - Epoch(train) [93][4000/5005] lr: 1.0000e-04 eta: 4:15:28 time: 0.4227 data_time: 0.0036 loss: 0.6338 03/05 22:24:19 - mmengine - INFO - Epoch(train) [93][4100/5005] lr: 1.0000e-04 eta: 4:14:45 time: 0.4276 data_time: 0.0039 loss: 0.6635 03/05 22:25:02 - mmengine - INFO - Epoch(train) [93][4200/5005] lr: 1.0000e-04 eta: 4:14:02 time: 0.4212 data_time: 0.0035 loss: 0.4354 03/05 22:25:45 - mmengine - INFO - Epoch(train) [93][4300/5005] lr: 1.0000e-04 eta: 4:13:20 time: 0.4287 data_time: 0.0037 loss: 0.6103 03/05 22:26:28 - mmengine - INFO - Epoch(train) [93][4400/5005] lr: 1.0000e-04 eta: 4:12:37 time: 0.4267 data_time: 0.0037 loss: 0.6408 03/05 22:27:11 - mmengine - INFO - Epoch(train) [93][4500/5005] lr: 1.0000e-04 eta: 4:11:55 time: 0.4251 data_time: 0.0036 loss: 0.6060 03/05 22:27:28 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:27:53 - mmengine - INFO - Epoch(train) [93][4600/5005] lr: 1.0000e-04 eta: 4:11:12 time: 0.4265 data_time: 0.0036 loss: 0.7617 03/05 22:28:36 - mmengine - INFO - Epoch(train) [93][4700/5005] lr: 1.0000e-04 eta: 4:10:30 time: 0.4317 data_time: 0.0038 loss: 0.4610 03/05 22:29:19 - mmengine - INFO - Epoch(train) [93][4800/5005] lr: 1.0000e-04 eta: 4:09:47 time: 0.4267 data_time: 0.0037 loss: 0.6660 03/05 22:30:02 - mmengine - INFO - Epoch(train) [93][4900/5005] lr: 1.0000e-04 eta: 4:09:05 time: 0.4266 data_time: 0.0036 loss: 0.7820 03/05 22:30:45 - mmengine - INFO - Epoch(train) [93][5000/5005] lr: 1.0000e-04 eta: 4:08:22 time: 0.4211 data_time: 0.0034 loss: 0.5919 03/05 22:30:47 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:30:47 - mmengine - INFO - Saving checkpoint at 93 epochs 03/05 22:30:59 - mmengine - INFO - Epoch(val) [93][100/196] eta: 0:00:08 time: 0.0298 data_time: 0.0005 03/05 22:31:13 - mmengine - INFO - Epoch(val) [93][196/196] accuracy/top1: 79.4080 accuracy/top5: 94.5460 03/05 22:31:59 - mmengine - INFO - Epoch(train) [94][ 100/5005] lr: 1.0000e-04 eta: 4:07:38 time: 0.4300 data_time: 0.0035 loss: 0.4869 03/05 22:32:43 - mmengine - INFO - Epoch(train) [94][ 200/5005] lr: 1.0000e-04 eta: 4:06:55 time: 0.4335 data_time: 0.0035 loss: 0.6899 03/05 22:33:26 - mmengine - INFO - Epoch(train) [94][ 300/5005] lr: 1.0000e-04 eta: 4:06:13 time: 0.4284 data_time: 0.0038 loss: 0.6463 03/05 22:34:09 - mmengine - INFO - Epoch(train) [94][ 400/5005] lr: 1.0000e-04 eta: 4:05:30 time: 0.4260 data_time: 0.0037 loss: 0.8286 03/05 22:34:52 - mmengine - INFO - Epoch(train) [94][ 500/5005] lr: 1.0000e-04 eta: 4:04:48 time: 0.4322 data_time: 0.0037 loss: 0.5993 03/05 22:35:07 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:35:35 - mmengine - INFO - Epoch(train) [94][ 600/5005] lr: 1.0000e-04 eta: 4:04:05 time: 0.4258 data_time: 0.0037 loss: 0.6120 03/05 22:36:18 - mmengine - INFO - Epoch(train) [94][ 700/5005] lr: 1.0000e-04 eta: 4:03:23 time: 0.4326 data_time: 0.0035 loss: 0.7097 03/05 22:37:00 - mmengine - INFO - Epoch(train) [94][ 800/5005] lr: 1.0000e-04 eta: 4:02:40 time: 0.4292 data_time: 0.0037 loss: 0.7679 03/05 22:37:43 - mmengine - INFO - Epoch(train) [94][ 900/5005] lr: 1.0000e-04 eta: 4:01:58 time: 0.4252 data_time: 0.0036 loss: 0.5968 03/05 22:38:26 - mmengine - INFO - Epoch(train) [94][1000/5005] lr: 1.0000e-04 eta: 4:01:15 time: 0.4261 data_time: 0.0035 loss: 0.7348 03/05 22:39:09 - mmengine - INFO - Epoch(train) [94][1100/5005] lr: 1.0000e-04 eta: 4:00:33 time: 0.4244 data_time: 0.0037 loss: 0.6215 03/05 22:39:51 - mmengine - INFO - Epoch(train) [94][1200/5005] lr: 1.0000e-04 eta: 3:59:50 time: 0.4184 data_time: 0.0035 loss: 0.5559 03/05 22:40:34 - mmengine - INFO - Epoch(train) [94][1300/5005] lr: 1.0000e-04 eta: 3:59:08 time: 0.4299 data_time: 0.0035 loss: 0.5737 03/05 22:41:17 - mmengine - INFO - Epoch(train) [94][1400/5005] lr: 1.0000e-04 eta: 3:58:25 time: 0.4210 data_time: 0.0036 loss: 0.6437 03/05 22:42:00 - mmengine - INFO - Epoch(train) [94][1500/5005] lr: 1.0000e-04 eta: 3:57:43 time: 0.4200 data_time: 0.0036 loss: 0.6667 03/05 22:42:15 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:42:42 - mmengine - INFO - Epoch(train) [94][1600/5005] lr: 1.0000e-04 eta: 3:57:00 time: 0.4238 data_time: 0.0036 loss: 0.6509 03/05 22:43:25 - mmengine - INFO - Epoch(train) [94][1700/5005] lr: 1.0000e-04 eta: 3:56:18 time: 0.4279 data_time: 0.0035 loss: 0.6670 03/05 22:44:08 - mmengine - INFO - Epoch(train) [94][1800/5005] lr: 1.0000e-04 eta: 3:55:35 time: 0.4275 data_time: 0.0036 loss: 0.5698 03/05 22:44:51 - mmengine - INFO - Epoch(train) [94][1900/5005] lr: 1.0000e-04 eta: 3:54:53 time: 0.4264 data_time: 0.0038 loss: 0.5968 03/05 22:45:34 - mmengine - INFO - Epoch(train) [94][2000/5005] lr: 1.0000e-04 eta: 3:54:10 time: 0.4255 data_time: 0.0036 loss: 0.6881 03/05 22:46:17 - mmengine - INFO - Epoch(train) [94][2100/5005] lr: 1.0000e-04 eta: 3:53:28 time: 0.4252 data_time: 0.0039 loss: 0.7517 03/05 22:47:00 - mmengine - INFO - Epoch(train) [94][2200/5005] lr: 1.0000e-04 eta: 3:52:45 time: 0.4274 data_time: 0.0036 loss: 0.6641 03/05 22:47:42 - mmengine - INFO - Epoch(train) [94][2300/5005] lr: 1.0000e-04 eta: 3:52:02 time: 0.4274 data_time: 0.0037 loss: 0.4842 03/05 22:48:25 - mmengine - INFO - Epoch(train) [94][2400/5005] lr: 1.0000e-04 eta: 3:51:20 time: 0.4232 data_time: 0.0034 loss: 0.6217 03/05 22:49:08 - mmengine - INFO - Epoch(train) [94][2500/5005] lr: 1.0000e-04 eta: 3:50:37 time: 0.4221 data_time: 0.0035 loss: 0.5406 03/05 22:49:23 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:49:50 - mmengine - INFO - Epoch(train) [94][2600/5005] lr: 1.0000e-04 eta: 3:49:55 time: 0.4253 data_time: 0.0036 loss: 0.6391 03/05 22:50:33 - mmengine - INFO - Epoch(train) [94][2700/5005] lr: 1.0000e-04 eta: 3:49:12 time: 0.4266 data_time: 0.0035 loss: 0.7589 03/05 22:51:16 - mmengine - INFO - Epoch(train) [94][2800/5005] lr: 1.0000e-04 eta: 3:48:30 time: 0.4266 data_time: 0.0037 loss: 0.5450 03/05 22:51:59 - mmengine - INFO - Epoch(train) [94][2900/5005] lr: 1.0000e-04 eta: 3:47:47 time: 0.4274 data_time: 0.0039 loss: 0.7572 03/05 22:52:41 - mmengine - INFO - Epoch(train) [94][3000/5005] lr: 1.0000e-04 eta: 3:47:05 time: 0.4240 data_time: 0.0039 loss: 0.6495 03/05 22:53:24 - mmengine - INFO - Epoch(train) [94][3100/5005] lr: 1.0000e-04 eta: 3:46:22 time: 0.4297 data_time: 0.0036 loss: 0.5898 03/05 22:54:07 - mmengine - INFO - Epoch(train) [94][3200/5005] lr: 1.0000e-04 eta: 3:45:40 time: 0.4301 data_time: 0.0035 loss: 0.5748 03/05 22:54:50 - mmengine - INFO - Epoch(train) [94][3300/5005] lr: 1.0000e-04 eta: 3:44:57 time: 0.4250 data_time: 0.0036 loss: 0.6005 03/05 22:55:33 - mmengine - INFO - Epoch(train) [94][3400/5005] lr: 1.0000e-04 eta: 3:44:15 time: 0.4219 data_time: 0.0036 loss: 0.5750 03/05 22:56:15 - mmengine - INFO - Epoch(train) [94][3500/5005] lr: 1.0000e-04 eta: 3:43:32 time: 0.4331 data_time: 0.0037 loss: 0.6994 03/05 22:56:30 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 22:56:58 - mmengine - INFO - Epoch(train) [94][3600/5005] lr: 1.0000e-04 eta: 3:42:50 time: 0.4248 data_time: 0.0038 loss: 0.6996 03/05 22:57:41 - mmengine - INFO - Epoch(train) [94][3700/5005] lr: 1.0000e-04 eta: 3:42:07 time: 0.4238 data_time: 0.0036 loss: 0.6528 03/05 22:58:24 - mmengine - INFO - Epoch(train) [94][3800/5005] lr: 1.0000e-04 eta: 3:41:25 time: 0.4312 data_time: 0.0036 loss: 0.6346 03/05 22:59:07 - mmengine - INFO - Epoch(train) [94][3900/5005] lr: 1.0000e-04 eta: 3:40:42 time: 0.4281 data_time: 0.0037 loss: 0.5503 03/05 22:59:50 - mmengine - INFO - Epoch(train) [94][4000/5005] lr: 1.0000e-04 eta: 3:40:00 time: 0.4286 data_time: 0.0036 loss: 0.5834 03/05 23:00:32 - mmengine - INFO - Epoch(train) [94][4100/5005] lr: 1.0000e-04 eta: 3:39:17 time: 0.4262 data_time: 0.0036 loss: 0.5344 03/05 23:01:15 - mmengine - INFO - Epoch(train) [94][4200/5005] lr: 1.0000e-04 eta: 3:38:34 time: 0.4257 data_time: 0.0037 loss: 0.8638 03/05 23:01:58 - mmengine - INFO - Epoch(train) [94][4300/5005] lr: 1.0000e-04 eta: 3:37:52 time: 0.4287 data_time: 0.0035 loss: 0.6767 03/05 23:02:41 - mmengine - INFO - Epoch(train) [94][4400/5005] lr: 1.0000e-04 eta: 3:37:09 time: 0.4267 data_time: 0.0038 loss: 0.6314 03/05 23:03:24 - mmengine - INFO - Epoch(train) [94][4500/5005] lr: 1.0000e-04 eta: 3:36:27 time: 0.4362 data_time: 0.0039 loss: 0.5381 03/05 23:03:39 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:04:06 - mmengine - INFO - Epoch(train) [94][4600/5005] lr: 1.0000e-04 eta: 3:35:44 time: 0.4233 data_time: 0.0038 loss: 0.6874 03/05 23:04:49 - mmengine - INFO - Epoch(train) [94][4700/5005] lr: 1.0000e-04 eta: 3:35:02 time: 0.4305 data_time: 0.0039 loss: 0.7048 03/05 23:05:32 - mmengine - INFO - Epoch(train) [94][4800/5005] lr: 1.0000e-04 eta: 3:34:19 time: 0.4224 data_time: 0.0036 loss: 0.6579 03/05 23:06:15 - mmengine - INFO - Epoch(train) [94][4900/5005] lr: 1.0000e-04 eta: 3:33:37 time: 0.4263 data_time: 0.0038 loss: 0.6877 03/05 23:06:57 - mmengine - INFO - Epoch(train) [94][5000/5005] lr: 1.0000e-04 eta: 3:32:54 time: 0.4253 data_time: 0.0033 loss: 0.6305 03/05 23:06:59 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:07:00 - mmengine - INFO - Saving checkpoint at 94 epochs 03/05 23:07:12 - mmengine - INFO - Epoch(val) [94][100/196] eta: 0:00:07 time: 0.0284 data_time: 0.0005 03/05 23:07:25 - mmengine - INFO - Epoch(val) [94][196/196] accuracy/top1: 79.3280 accuracy/top5: 94.5060 03/05 23:08:12 - mmengine - INFO - Epoch(train) [95][ 100/5005] lr: 1.0000e-04 eta: 3:32:10 time: 0.4190 data_time: 0.0038 loss: 0.6862 03/05 23:08:55 - mmengine - INFO - Epoch(train) [95][ 200/5005] lr: 1.0000e-04 eta: 3:31:27 time: 0.4268 data_time: 0.0038 loss: 0.5776 03/05 23:09:37 - mmengine - INFO - Epoch(train) [95][ 300/5005] lr: 1.0000e-04 eta: 3:30:45 time: 0.4276 data_time: 0.0036 loss: 0.5570 03/05 23:10:20 - mmengine - INFO - Epoch(train) [95][ 400/5005] lr: 1.0000e-04 eta: 3:30:02 time: 0.4302 data_time: 0.0037 loss: 0.5741 03/05 23:11:03 - mmengine - INFO - Epoch(train) [95][ 500/5005] lr: 1.0000e-04 eta: 3:29:20 time: 0.4222 data_time: 0.0038 loss: 0.6258 03/05 23:11:16 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:11:46 - mmengine - INFO - Epoch(train) [95][ 600/5005] lr: 1.0000e-04 eta: 3:28:37 time: 0.4250 data_time: 0.0038 loss: 0.5809 03/05 23:12:29 - mmengine - INFO - Epoch(train) [95][ 700/5005] lr: 1.0000e-04 eta: 3:27:55 time: 0.4236 data_time: 0.0040 loss: 0.6559 03/05 23:13:12 - mmengine - INFO - Epoch(train) [95][ 800/5005] lr: 1.0000e-04 eta: 3:27:12 time: 0.4229 data_time: 0.0039 loss: 0.5254 03/05 23:13:54 - mmengine - INFO - Epoch(train) [95][ 900/5005] lr: 1.0000e-04 eta: 3:26:30 time: 0.4241 data_time: 0.0035 loss: 0.6651 03/05 23:14:37 - mmengine - INFO - Epoch(train) [95][1000/5005] lr: 1.0000e-04 eta: 3:25:47 time: 0.4241 data_time: 0.0037 loss: 0.7191 03/05 23:15:20 - mmengine - INFO - Epoch(train) [95][1100/5005] lr: 1.0000e-04 eta: 3:25:05 time: 0.4269 data_time: 0.0035 loss: 0.7170 03/05 23:16:03 - mmengine - INFO - Epoch(train) [95][1200/5005] lr: 1.0000e-04 eta: 3:24:22 time: 0.4332 data_time: 0.0039 loss: 0.6176 03/05 23:16:46 - mmengine - INFO - Epoch(train) [95][1300/5005] lr: 1.0000e-04 eta: 3:23:40 time: 0.4209 data_time: 0.0038 loss: 0.6996 03/05 23:17:29 - mmengine - INFO - Epoch(train) [95][1400/5005] lr: 1.0000e-04 eta: 3:22:57 time: 0.4243 data_time: 0.0036 loss: 0.6484 03/05 23:18:12 - mmengine - INFO - Epoch(train) [95][1500/5005] lr: 1.0000e-04 eta: 3:22:15 time: 0.4310 data_time: 0.0037 loss: 0.7238 03/05 23:18:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:18:55 - mmengine - INFO - Epoch(train) [95][1600/5005] lr: 1.0000e-04 eta: 3:21:32 time: 0.4257 data_time: 0.0036 loss: 0.6294 03/05 23:19:37 - mmengine - INFO - Epoch(train) [95][1700/5005] lr: 1.0000e-04 eta: 3:20:49 time: 0.4235 data_time: 0.0035 loss: 0.6695 03/05 23:20:20 - mmengine - INFO - Epoch(train) [95][1800/5005] lr: 1.0000e-04 eta: 3:20:07 time: 0.4206 data_time: 0.0036 loss: 0.5507 03/05 23:21:03 - mmengine - INFO - Epoch(train) [95][1900/5005] lr: 1.0000e-04 eta: 3:19:24 time: 0.4232 data_time: 0.0035 loss: 0.6915 03/05 23:21:46 - mmengine - INFO - Epoch(train) [95][2000/5005] lr: 1.0000e-04 eta: 3:18:42 time: 0.4225 data_time: 0.0038 loss: 0.8106 03/05 23:22:28 - mmengine - INFO - Epoch(train) [95][2100/5005] lr: 1.0000e-04 eta: 3:17:59 time: 0.4255 data_time: 0.0046 loss: 0.6685 03/05 23:23:11 - mmengine - INFO - Epoch(train) [95][2200/5005] lr: 1.0000e-04 eta: 3:17:17 time: 0.4218 data_time: 0.0036 loss: 0.6687 03/05 23:23:54 - mmengine - INFO - Epoch(train) [95][2300/5005] lr: 1.0000e-04 eta: 3:16:34 time: 0.4233 data_time: 0.0039 loss: 0.6759 03/05 23:24:36 - mmengine - INFO - Epoch(train) [95][2400/5005] lr: 1.0000e-04 eta: 3:15:52 time: 0.4219 data_time: 0.0038 loss: 0.6302 03/05 23:25:19 - mmengine - INFO - Epoch(train) [95][2500/5005] lr: 1.0000e-04 eta: 3:15:09 time: 0.4297 data_time: 0.0037 loss: 0.6706 03/05 23:25:32 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:26:02 - mmengine - INFO - Epoch(train) [95][2600/5005] lr: 1.0000e-04 eta: 3:14:27 time: 0.4236 data_time: 0.0037 loss: 0.6899 03/05 23:26:45 - mmengine - INFO - Epoch(train) [95][2700/5005] lr: 1.0000e-04 eta: 3:13:44 time: 0.4267 data_time: 0.0035 loss: 0.5583 03/05 23:27:28 - mmengine - INFO - Epoch(train) [95][2800/5005] lr: 1.0000e-04 eta: 3:13:02 time: 0.4293 data_time: 0.0036 loss: 0.6104 03/05 23:28:11 - mmengine - INFO - Epoch(train) [95][2900/5005] lr: 1.0000e-04 eta: 3:12:19 time: 0.4235 data_time: 0.0036 loss: 0.6823 03/05 23:28:53 - mmengine - INFO - Epoch(train) [95][3000/5005] lr: 1.0000e-04 eta: 3:11:37 time: 0.4254 data_time: 0.0039 loss: 0.6057 03/05 23:29:36 - mmengine - INFO - Epoch(train) [95][3100/5005] lr: 1.0000e-04 eta: 3:10:54 time: 0.4259 data_time: 0.0040 loss: 0.6110 03/05 23:30:19 - mmengine - INFO - Epoch(train) [95][3200/5005] lr: 1.0000e-04 eta: 3:10:12 time: 0.4267 data_time: 0.0037 loss: 0.6537 03/05 23:31:02 - mmengine - INFO - Epoch(train) [95][3300/5005] lr: 1.0000e-04 eta: 3:09:29 time: 0.4242 data_time: 0.0037 loss: 0.5757 03/05 23:31:45 - mmengine - INFO - Epoch(train) [95][3400/5005] lr: 1.0000e-04 eta: 3:08:46 time: 0.4252 data_time: 0.0037 loss: 0.7073 03/05 23:32:28 - mmengine - INFO - Epoch(train) [95][3500/5005] lr: 1.0000e-04 eta: 3:08:04 time: 0.4248 data_time: 0.0037 loss: 0.6338 03/05 23:32:41 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:33:10 - mmengine - INFO - Epoch(train) [95][3600/5005] lr: 1.0000e-04 eta: 3:07:21 time: 0.4239 data_time: 0.0038 loss: 0.5077 03/05 23:33:53 - mmengine - INFO - Epoch(train) [95][3700/5005] lr: 1.0000e-04 eta: 3:06:39 time: 0.4264 data_time: 0.0037 loss: 0.5402 03/05 23:34:36 - mmengine - INFO - Epoch(train) [95][3800/5005] lr: 1.0000e-04 eta: 3:05:56 time: 0.4253 data_time: 0.0036 loss: 0.5325 03/05 23:35:19 - mmengine - INFO - Epoch(train) [95][3900/5005] lr: 1.0000e-04 eta: 3:05:14 time: 0.4283 data_time: 0.0036 loss: 0.5884 03/05 23:36:01 - mmengine - INFO - Epoch(train) [95][4000/5005] lr: 1.0000e-04 eta: 3:04:31 time: 0.4301 data_time: 0.0036 loss: 0.6863 03/05 23:36:44 - mmengine - INFO - Epoch(train) [95][4100/5005] lr: 1.0000e-04 eta: 3:03:49 time: 0.4291 data_time: 0.0036 loss: 0.6701 03/05 23:37:27 - mmengine - INFO - Epoch(train) [95][4200/5005] lr: 1.0000e-04 eta: 3:03:06 time: 0.4299 data_time: 0.0036 loss: 0.6640 03/05 23:38:10 - mmengine - INFO - Epoch(train) [95][4300/5005] lr: 1.0000e-04 eta: 3:02:24 time: 0.4255 data_time: 0.0038 loss: 0.6761 03/05 23:38:53 - mmengine - INFO - Epoch(train) [95][4400/5005] lr: 1.0000e-04 eta: 3:01:41 time: 0.4300 data_time: 0.0037 loss: 0.5282 03/05 23:39:36 - mmengine - INFO - Epoch(train) [95][4500/5005] lr: 1.0000e-04 eta: 3:00:59 time: 0.4277 data_time: 0.0036 loss: 0.5753 03/05 23:39:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:40:18 - mmengine - INFO - Epoch(train) [95][4600/5005] lr: 1.0000e-04 eta: 3:00:16 time: 0.4241 data_time: 0.0038 loss: 0.6068 03/05 23:41:01 - mmengine - INFO - Epoch(train) [95][4700/5005] lr: 1.0000e-04 eta: 2:59:34 time: 0.4279 data_time: 0.0035 loss: 0.6666 03/05 23:41:44 - mmengine - INFO - Epoch(train) [95][4800/5005] lr: 1.0000e-04 eta: 2:58:51 time: 0.4249 data_time: 0.0036 loss: 0.5611 03/05 23:42:27 - mmengine - INFO - Epoch(train) [95][4900/5005] lr: 1.0000e-04 eta: 2:58:09 time: 0.4234 data_time: 0.0036 loss: 0.7299 03/05 23:43:10 - mmengine - INFO - Epoch(train) [95][5000/5005] lr: 1.0000e-04 eta: 2:57:26 time: 0.4274 data_time: 0.0033 loss: 0.6726 03/05 23:43:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:43:13 - mmengine - INFO - Saving checkpoint at 95 epochs 03/05 23:43:25 - mmengine - INFO - Epoch(val) [95][100/196] eta: 0:00:08 time: 0.0280 data_time: 0.0005 03/05 23:43:38 - mmengine - INFO - Epoch(val) [95][196/196] accuracy/top1: 79.4640 accuracy/top5: 94.5300 03/05 23:44:24 - mmengine - INFO - Epoch(train) [96][ 100/5005] lr: 1.0000e-04 eta: 2:56:42 time: 0.4236 data_time: 0.0036 loss: 0.6555 03/05 23:45:07 - mmengine - INFO - Epoch(train) [96][ 200/5005] lr: 1.0000e-04 eta: 2:55:59 time: 0.4283 data_time: 0.0038 loss: 0.5043 03/05 23:45:50 - mmengine - INFO - Epoch(train) [96][ 300/5005] lr: 1.0000e-04 eta: 2:55:16 time: 0.4268 data_time: 0.0037 loss: 0.7898 03/05 23:46:33 - mmengine - INFO - Epoch(train) [96][ 400/5005] lr: 1.0000e-04 eta: 2:54:34 time: 0.4287 data_time: 0.0038 loss: 0.7559 03/05 23:47:16 - mmengine - INFO - Epoch(train) [96][ 500/5005] lr: 1.0000e-04 eta: 2:53:51 time: 0.4276 data_time: 0.0037 loss: 0.6398 03/05 23:47:27 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:47:59 - mmengine - INFO - Epoch(train) [96][ 600/5005] lr: 1.0000e-04 eta: 2:53:09 time: 0.4259 data_time: 0.0037 loss: 0.7466 03/05 23:48:42 - mmengine - INFO - Epoch(train) [96][ 700/5005] lr: 1.0000e-04 eta: 2:52:26 time: 0.4326 data_time: 0.0036 loss: 0.6589 03/05 23:49:24 - mmengine - INFO - Epoch(train) [96][ 800/5005] lr: 1.0000e-04 eta: 2:51:44 time: 0.4255 data_time: 0.0036 loss: 0.5246 03/05 23:50:07 - mmengine - INFO - Epoch(train) [96][ 900/5005] lr: 1.0000e-04 eta: 2:51:01 time: 0.4340 data_time: 0.0041 loss: 0.7232 03/05 23:50:50 - mmengine - INFO - Epoch(train) [96][1000/5005] lr: 1.0000e-04 eta: 2:50:19 time: 0.4332 data_time: 0.0036 loss: 0.4941 03/05 23:51:33 - mmengine - INFO - Epoch(train) [96][1100/5005] lr: 1.0000e-04 eta: 2:49:36 time: 0.4305 data_time: 0.0036 loss: 0.5564 03/05 23:52:16 - mmengine - INFO - Epoch(train) [96][1200/5005] lr: 1.0000e-04 eta: 2:48:54 time: 0.4216 data_time: 0.0038 loss: 0.7077 03/05 23:52:59 - mmengine - INFO - Epoch(train) [96][1300/5005] lr: 1.0000e-04 eta: 2:48:11 time: 0.4285 data_time: 0.0038 loss: 0.5890 03/05 23:53:42 - mmengine - INFO - Epoch(train) [96][1400/5005] lr: 1.0000e-04 eta: 2:47:29 time: 0.4234 data_time: 0.0037 loss: 0.6093 03/05 23:54:25 - mmengine - INFO - Epoch(train) [96][1500/5005] lr: 1.0000e-04 eta: 2:46:46 time: 0.4278 data_time: 0.0037 loss: 0.6089 03/05 23:54:35 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/05 23:55:07 - mmengine - INFO - Epoch(train) [96][1600/5005] lr: 1.0000e-04 eta: 2:46:04 time: 0.4275 data_time: 0.0036 loss: 0.6736 03/05 23:55:50 - mmengine - INFO - Epoch(train) [96][1700/5005] lr: 1.0000e-04 eta: 2:45:21 time: 0.4252 data_time: 0.0035 loss: 0.7407 03/05 23:56:33 - mmengine - INFO - Epoch(train) [96][1800/5005] lr: 1.0000e-04 eta: 2:44:39 time: 0.4283 data_time: 0.0039 loss: 0.6582 03/05 23:57:16 - mmengine - INFO - Epoch(train) [96][1900/5005] lr: 1.0000e-04 eta: 2:43:56 time: 0.4237 data_time: 0.0042 loss: 0.5917 03/05 23:57:59 - mmengine - INFO - Epoch(train) [96][2000/5005] lr: 1.0000e-04 eta: 2:43:14 time: 0.4221 data_time: 0.0037 loss: 0.6401 03/05 23:58:42 - mmengine - INFO - Epoch(train) [96][2100/5005] lr: 1.0000e-04 eta: 2:42:31 time: 0.4239 data_time: 0.0037 loss: 0.6706 03/05 23:59:25 - mmengine - INFO - Epoch(train) [96][2200/5005] lr: 1.0000e-04 eta: 2:41:48 time: 0.4314 data_time: 0.0038 loss: 0.6105 03/06 00:00:07 - mmengine - INFO - Epoch(train) [96][2300/5005] lr: 1.0000e-04 eta: 2:41:06 time: 0.4204 data_time: 0.0036 loss: 0.7427 03/06 00:00:50 - mmengine - INFO - Epoch(train) [96][2400/5005] lr: 1.0000e-04 eta: 2:40:23 time: 0.4222 data_time: 0.0037 loss: 0.6017 03/06 00:01:33 - mmengine - INFO - Epoch(train) [96][2500/5005] lr: 1.0000e-04 eta: 2:39:41 time: 0.4264 data_time: 0.0037 loss: 0.5969 03/06 00:01:44 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:02:16 - mmengine - INFO - Epoch(train) [96][2600/5005] lr: 1.0000e-04 eta: 2:38:58 time: 0.4252 data_time: 0.0036 loss: 0.6854 03/06 00:02:59 - mmengine - INFO - Epoch(train) [96][2700/5005] lr: 1.0000e-04 eta: 2:38:16 time: 0.4347 data_time: 0.0038 loss: 0.6195 03/06 00:03:41 - mmengine - INFO - Epoch(train) [96][2800/5005] lr: 1.0000e-04 eta: 2:37:33 time: 0.4280 data_time: 0.0038 loss: 0.6872 03/06 00:04:24 - mmengine - INFO - Epoch(train) [96][2900/5005] lr: 1.0000e-04 eta: 2:36:51 time: 0.4258 data_time: 0.0036 loss: 0.6988 03/06 00:05:07 - mmengine - INFO - Epoch(train) [96][3000/5005] lr: 1.0000e-04 eta: 2:36:08 time: 0.4259 data_time: 0.0035 loss: 0.7479 03/06 00:05:50 - mmengine - INFO - Epoch(train) [96][3100/5005] lr: 1.0000e-04 eta: 2:35:26 time: 0.4270 data_time: 0.0036 loss: 0.7244 03/06 00:06:33 - mmengine - INFO - Epoch(train) [96][3200/5005] lr: 1.0000e-04 eta: 2:34:43 time: 0.4241 data_time: 0.0036 loss: 0.5837 03/06 00:07:15 - mmengine - INFO - Epoch(train) [96][3300/5005] lr: 1.0000e-04 eta: 2:34:01 time: 0.4226 data_time: 0.0037 loss: 0.6992 03/06 00:07:58 - mmengine - INFO - Epoch(train) [96][3400/5005] lr: 1.0000e-04 eta: 2:33:18 time: 0.4214 data_time: 0.0036 loss: 0.6513 03/06 00:08:41 - mmengine - INFO - Epoch(train) [96][3500/5005] lr: 1.0000e-04 eta: 2:32:36 time: 0.4208 data_time: 0.0038 loss: 0.6589 03/06 00:08:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:09:24 - mmengine - INFO - Epoch(train) [96][3600/5005] lr: 1.0000e-04 eta: 2:31:53 time: 0.4289 data_time: 0.0039 loss: 0.6420 03/06 00:10:07 - mmengine - INFO - Epoch(train) [96][3700/5005] lr: 1.0000e-04 eta: 2:31:10 time: 0.4246 data_time: 0.0037 loss: 0.4944 03/06 00:10:50 - mmengine - INFO - Epoch(train) [96][3800/5005] lr: 1.0000e-04 eta: 2:30:28 time: 0.4305 data_time: 0.0043 loss: 0.5646 03/06 00:11:32 - mmengine - INFO - Epoch(train) [96][3900/5005] lr: 1.0000e-04 eta: 2:29:45 time: 0.4245 data_time: 0.0039 loss: 0.4862 03/06 00:12:15 - mmengine - INFO - Epoch(train) [96][4000/5005] lr: 1.0000e-04 eta: 2:29:03 time: 0.4269 data_time: 0.0039 loss: 0.6258 03/06 00:12:58 - mmengine - INFO - Epoch(train) [96][4100/5005] lr: 1.0000e-04 eta: 2:28:20 time: 0.4232 data_time: 0.0038 loss: 0.7255 03/06 00:13:41 - mmengine - INFO - Epoch(train) [96][4200/5005] lr: 1.0000e-04 eta: 2:27:38 time: 0.4282 data_time: 0.0036 loss: 0.5714 03/06 00:14:24 - mmengine - INFO - Epoch(train) [96][4300/5005] lr: 1.0000e-04 eta: 2:26:55 time: 0.4235 data_time: 0.0037 loss: 0.6870 03/06 00:15:06 - mmengine - INFO - Epoch(train) [96][4400/5005] lr: 1.0000e-04 eta: 2:26:13 time: 0.4235 data_time: 0.0038 loss: 0.7156 03/06 00:15:49 - mmengine - INFO - Epoch(train) [96][4500/5005] lr: 1.0000e-04 eta: 2:25:30 time: 0.4295 data_time: 0.0036 loss: 0.5623 03/06 00:16:00 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:16:32 - mmengine - INFO - Epoch(train) [96][4600/5005] lr: 1.0000e-04 eta: 2:24:48 time: 0.4209 data_time: 0.0037 loss: 0.6334 03/06 00:17:15 - mmengine - INFO - Epoch(train) [96][4700/5005] lr: 1.0000e-04 eta: 2:24:05 time: 0.4367 data_time: 0.0036 loss: 0.7026 03/06 00:17:58 - mmengine - INFO - Epoch(train) [96][4800/5005] lr: 1.0000e-04 eta: 2:23:23 time: 0.4237 data_time: 0.0036 loss: 0.4672 03/06 00:18:40 - mmengine - INFO - Epoch(train) [96][4900/5005] lr: 1.0000e-04 eta: 2:22:40 time: 0.4208 data_time: 0.0036 loss: 0.4954 03/06 00:19:23 - mmengine - INFO - Epoch(train) [96][5000/5005] lr: 1.0000e-04 eta: 2:21:58 time: 0.4268 data_time: 0.0037 loss: 0.6749 03/06 00:19:25 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:19:26 - mmengine - INFO - Saving checkpoint at 96 epochs 03/06 00:19:38 - mmengine - INFO - Epoch(val) [96][100/196] eta: 0:00:08 time: 0.0285 data_time: 0.0005 03/06 00:19:52 - mmengine - INFO - Epoch(val) [96][196/196] accuracy/top1: 79.4300 accuracy/top5: 94.5200 03/06 00:20:38 - mmengine - INFO - Epoch(train) [97][ 100/5005] lr: 1.0000e-04 eta: 2:21:13 time: 0.4261 data_time: 0.0036 loss: 0.7237 03/06 00:21:21 - mmengine - INFO - Epoch(train) [97][ 200/5005] lr: 1.0000e-04 eta: 2:20:30 time: 0.4275 data_time: 0.0037 loss: 0.5478 03/06 00:22:03 - mmengine - INFO - Epoch(train) [97][ 300/5005] lr: 1.0000e-04 eta: 2:19:48 time: 0.4253 data_time: 0.0037 loss: 0.6002 03/06 00:22:46 - mmengine - INFO - Epoch(train) [97][ 400/5005] lr: 1.0000e-04 eta: 2:19:05 time: 0.4235 data_time: 0.0037 loss: 0.6035 03/06 00:23:29 - mmengine - INFO - Epoch(train) [97][ 500/5005] lr: 1.0000e-04 eta: 2:18:23 time: 0.4277 data_time: 0.0036 loss: 0.6547 03/06 00:23:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:24:12 - mmengine - INFO - Epoch(train) [97][ 600/5005] lr: 1.0000e-04 eta: 2:17:40 time: 0.4232 data_time: 0.0036 loss: 0.6468 03/06 00:24:54 - mmengine - INFO - Epoch(train) [97][ 700/5005] lr: 1.0000e-04 eta: 2:16:58 time: 0.4283 data_time: 0.0038 loss: 0.4533 03/06 00:25:37 - mmengine - INFO - Epoch(train) [97][ 800/5005] lr: 1.0000e-04 eta: 2:16:15 time: 0.4268 data_time: 0.0037 loss: 0.5686 03/06 00:26:20 - mmengine - INFO - Epoch(train) [97][ 900/5005] lr: 1.0000e-04 eta: 2:15:33 time: 0.4254 data_time: 0.0037 loss: 0.7192 03/06 00:27:03 - mmengine - INFO - Epoch(train) [97][1000/5005] lr: 1.0000e-04 eta: 2:14:50 time: 0.4353 data_time: 0.0039 loss: 0.6950 03/06 00:27:45 - mmengine - INFO - Epoch(train) [97][1100/5005] lr: 1.0000e-04 eta: 2:14:08 time: 0.4282 data_time: 0.0037 loss: 0.5971 03/06 00:28:28 - mmengine - INFO - Epoch(train) [97][1200/5005] lr: 1.0000e-04 eta: 2:13:25 time: 0.4244 data_time: 0.0037 loss: 0.6692 03/06 00:29:11 - mmengine - INFO - Epoch(train) [97][1300/5005] lr: 1.0000e-04 eta: 2:12:43 time: 0.4285 data_time: 0.0039 loss: 0.6820 03/06 00:29:54 - mmengine - INFO - Epoch(train) [97][1400/5005] lr: 1.0000e-04 eta: 2:12:00 time: 0.4237 data_time: 0.0037 loss: 0.6444 03/06 00:30:37 - mmengine - INFO - Epoch(train) [97][1500/5005] lr: 1.0000e-04 eta: 2:11:18 time: 0.4309 data_time: 0.0036 loss: 0.5621 03/06 00:30:45 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:31:19 - mmengine - INFO - Epoch(train) [97][1600/5005] lr: 1.0000e-04 eta: 2:10:35 time: 0.4286 data_time: 0.0037 loss: 0.6950 03/06 00:32:02 - mmengine - INFO - Epoch(train) [97][1700/5005] lr: 1.0000e-04 eta: 2:09:52 time: 0.4370 data_time: 0.0037 loss: 0.7291 03/06 00:32:45 - mmengine - INFO - Epoch(train) [97][1800/5005] lr: 1.0000e-04 eta: 2:09:10 time: 0.4281 data_time: 0.0043 loss: 0.7097 03/06 00:33:28 - mmengine - INFO - Epoch(train) [97][1900/5005] lr: 1.0000e-04 eta: 2:08:27 time: 0.4223 data_time: 0.0039 loss: 0.7050 03/06 00:34:11 - mmengine - INFO - Epoch(train) [97][2000/5005] lr: 1.0000e-04 eta: 2:07:45 time: 0.4282 data_time: 0.0037 loss: 0.5970 03/06 00:34:53 - mmengine - INFO - Epoch(train) [97][2100/5005] lr: 1.0000e-04 eta: 2:07:02 time: 0.4239 data_time: 0.0036 loss: 0.6747 03/06 00:35:36 - mmengine - INFO - Epoch(train) [97][2200/5005] lr: 1.0000e-04 eta: 2:06:20 time: 0.4265 data_time: 0.0038 loss: 0.6110 03/06 00:36:19 - mmengine - INFO - Epoch(train) [97][2300/5005] lr: 1.0000e-04 eta: 2:05:37 time: 0.4295 data_time: 0.0043 loss: 0.6049 03/06 00:37:02 - mmengine - INFO - Epoch(train) [97][2400/5005] lr: 1.0000e-04 eta: 2:04:55 time: 0.4293 data_time: 0.0035 loss: 0.6943 03/06 00:37:45 - mmengine - INFO - Epoch(train) [97][2500/5005] lr: 1.0000e-04 eta: 2:04:12 time: 0.4257 data_time: 0.0037 loss: 0.5818 03/06 00:37:53 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:38:28 - mmengine - INFO - Epoch(train) [97][2600/5005] lr: 1.0000e-04 eta: 2:03:30 time: 0.4301 data_time: 0.0038 loss: 0.6392 03/06 00:39:10 - mmengine - INFO - Epoch(train) [97][2700/5005] lr: 1.0000e-04 eta: 2:02:47 time: 0.4234 data_time: 0.0036 loss: 0.6307 03/06 00:39:53 - mmengine - INFO - Epoch(train) [97][2800/5005] lr: 1.0000e-04 eta: 2:02:05 time: 0.4244 data_time: 0.0040 loss: 0.6902 03/06 00:40:36 - mmengine - INFO - Epoch(train) [97][2900/5005] lr: 1.0000e-04 eta: 2:01:22 time: 0.4293 data_time: 0.0040 loss: 0.6251 03/06 00:41:19 - mmengine - INFO - Epoch(train) [97][3000/5005] lr: 1.0000e-04 eta: 2:00:40 time: 0.4219 data_time: 0.0039 loss: 0.5684 03/06 00:42:02 - mmengine - INFO - Epoch(train) [97][3100/5005] lr: 1.0000e-04 eta: 1:59:57 time: 0.4270 data_time: 0.0036 loss: 0.7006 03/06 00:42:45 - mmengine - INFO - Epoch(train) [97][3200/5005] lr: 1.0000e-04 eta: 1:59:14 time: 0.4243 data_time: 0.0039 loss: 0.6352 03/06 00:43:27 - mmengine - INFO - Epoch(train) [97][3300/5005] lr: 1.0000e-04 eta: 1:58:32 time: 0.4271 data_time: 0.0038 loss: 0.5215 03/06 00:44:10 - mmengine - INFO - Epoch(train) [97][3400/5005] lr: 1.0000e-04 eta: 1:57:49 time: 0.4278 data_time: 0.0036 loss: 0.6526 03/06 00:44:53 - mmengine - INFO - Epoch(train) [97][3500/5005] lr: 1.0000e-04 eta: 1:57:07 time: 0.4320 data_time: 0.0041 loss: 0.7783 03/06 00:45:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:45:36 - mmengine - INFO - Epoch(train) [97][3600/5005] lr: 1.0000e-04 eta: 1:56:24 time: 0.4262 data_time: 0.0036 loss: 0.5166 03/06 00:46:18 - mmengine - INFO - Epoch(train) [97][3700/5005] lr: 1.0000e-04 eta: 1:55:42 time: 0.4243 data_time: 0.0038 loss: 0.6339 03/06 00:47:01 - mmengine - INFO - Epoch(train) [97][3800/5005] lr: 1.0000e-04 eta: 1:54:59 time: 0.4244 data_time: 0.0037 loss: 0.6425 03/06 00:47:44 - mmengine - INFO - Epoch(train) [97][3900/5005] lr: 1.0000e-04 eta: 1:54:17 time: 0.4299 data_time: 0.0038 loss: 0.6865 03/06 00:48:27 - mmengine - INFO - Epoch(train) [97][4000/5005] lr: 1.0000e-04 eta: 1:53:34 time: 0.4291 data_time: 0.0036 loss: 0.6594 03/06 00:49:10 - mmengine - INFO - Epoch(train) [97][4100/5005] lr: 1.0000e-04 eta: 1:52:52 time: 0.4279 data_time: 0.0036 loss: 0.5737 03/06 00:49:53 - mmengine - INFO - Epoch(train) [97][4200/5005] lr: 1.0000e-04 eta: 1:52:09 time: 0.4290 data_time: 0.0038 loss: 0.7612 03/06 00:50:36 - mmengine - INFO - Epoch(train) [97][4300/5005] lr: 1.0000e-04 eta: 1:51:27 time: 0.4249 data_time: 0.0038 loss: 0.5234 03/06 00:51:18 - mmengine - INFO - Epoch(train) [97][4400/5005] lr: 1.0000e-04 eta: 1:50:44 time: 0.4262 data_time: 0.0036 loss: 0.5368 03/06 00:52:01 - mmengine - INFO - Epoch(train) [97][4500/5005] lr: 1.0000e-04 eta: 1:50:01 time: 0.4234 data_time: 0.0036 loss: 0.6294 03/06 00:52:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:52:44 - mmengine - INFO - Epoch(train) [97][4600/5005] lr: 1.0000e-04 eta: 1:49:19 time: 0.4259 data_time: 0.0038 loss: 0.5993 03/06 00:53:27 - mmengine - INFO - Epoch(train) [97][4700/5005] lr: 1.0000e-04 eta: 1:48:36 time: 0.4298 data_time: 0.0037 loss: 0.6878 03/06 00:54:10 - mmengine - INFO - Epoch(train) [97][4800/5005] lr: 1.0000e-04 eta: 1:47:54 time: 0.4273 data_time: 0.0038 loss: 0.5850 03/06 00:54:52 - mmengine - INFO - Epoch(train) [97][4900/5005] lr: 1.0000e-04 eta: 1:47:11 time: 0.4294 data_time: 0.0036 loss: 0.6944 03/06 00:55:35 - mmengine - INFO - Epoch(train) [97][5000/5005] lr: 1.0000e-04 eta: 1:46:29 time: 0.4196 data_time: 0.0035 loss: 0.6043 03/06 00:55:37 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 00:55:38 - mmengine - INFO - Saving checkpoint at 97 epochs 03/06 00:55:50 - mmengine - INFO - Epoch(val) [97][100/196] eta: 0:00:08 time: 0.0293 data_time: 0.0005 03/06 00:56:04 - mmengine - INFO - Epoch(val) [97][196/196] accuracy/top1: 79.4080 accuracy/top5: 94.5380 03/06 00:56:50 - mmengine - INFO - Epoch(train) [98][ 100/5005] lr: 1.0000e-04 eta: 1:45:44 time: 0.4284 data_time: 0.0040 loss: 0.5869 03/06 00:57:33 - mmengine - INFO - Epoch(train) [98][ 200/5005] lr: 1.0000e-04 eta: 1:45:02 time: 0.4219 data_time: 0.0036 loss: 0.5835 03/06 00:58:16 - mmengine - INFO - Epoch(train) [98][ 300/5005] lr: 1.0000e-04 eta: 1:44:19 time: 0.4231 data_time: 0.0039 loss: 0.6350 03/06 00:58:59 - mmengine - INFO - Epoch(train) [98][ 400/5005] lr: 1.0000e-04 eta: 1:43:37 time: 0.4232 data_time: 0.0036 loss: 0.6645 03/06 00:59:42 - mmengine - INFO - Epoch(train) [98][ 500/5005] lr: 1.0000e-04 eta: 1:42:54 time: 0.4258 data_time: 0.0040 loss: 0.6550 03/06 00:59:48 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:00:25 - mmengine - INFO - Epoch(train) [98][ 600/5005] lr: 1.0000e-04 eta: 1:42:12 time: 0.4267 data_time: 0.0038 loss: 0.5867 03/06 01:01:08 - mmengine - INFO - Epoch(train) [98][ 700/5005] lr: 1.0000e-04 eta: 1:41:29 time: 0.4313 data_time: 0.0037 loss: 0.6848 03/06 01:01:51 - mmengine - INFO - Epoch(train) [98][ 800/5005] lr: 1.0000e-04 eta: 1:40:47 time: 0.4258 data_time: 0.0038 loss: 0.6044 03/06 01:02:33 - mmengine - INFO - Epoch(train) [98][ 900/5005] lr: 1.0000e-04 eta: 1:40:04 time: 0.4275 data_time: 0.0039 loss: 0.6070 03/06 01:03:16 - mmengine - INFO - Epoch(train) [98][1000/5005] lr: 1.0000e-04 eta: 1:39:21 time: 0.4299 data_time: 0.0037 loss: 0.7086 03/06 01:03:59 - mmengine - INFO - Epoch(train) [98][1100/5005] lr: 1.0000e-04 eta: 1:38:39 time: 0.4278 data_time: 0.0039 loss: 0.6306 03/06 01:04:42 - mmengine - INFO - Epoch(train) [98][1200/5005] lr: 1.0000e-04 eta: 1:37:56 time: 0.4351 data_time: 0.0036 loss: 0.7082 03/06 01:05:25 - mmengine - INFO - Epoch(train) [98][1300/5005] lr: 1.0000e-04 eta: 1:37:14 time: 0.4256 data_time: 0.0037 loss: 0.6560 03/06 01:06:08 - mmengine - INFO - Epoch(train) [98][1400/5005] lr: 1.0000e-04 eta: 1:36:31 time: 0.4269 data_time: 0.0037 loss: 0.6759 03/06 01:06:51 - mmengine - INFO - Epoch(train) [98][1500/5005] lr: 1.0000e-04 eta: 1:35:49 time: 0.4324 data_time: 0.0037 loss: 0.5285 03/06 01:06:57 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:07:33 - mmengine - INFO - Epoch(train) [98][1600/5005] lr: 1.0000e-04 eta: 1:35:06 time: 0.4244 data_time: 0.0038 loss: 0.5404 03/06 01:08:16 - mmengine - INFO - Epoch(train) [98][1700/5005] lr: 1.0000e-04 eta: 1:34:24 time: 0.4268 data_time: 0.0039 loss: 0.6773 03/06 01:08:59 - mmengine - INFO - Epoch(train) [98][1800/5005] lr: 1.0000e-04 eta: 1:33:41 time: 0.4227 data_time: 0.0035 loss: 0.6681 03/06 01:09:42 - mmengine - INFO - Epoch(train) [98][1900/5005] lr: 1.0000e-04 eta: 1:32:59 time: 0.4236 data_time: 0.0036 loss: 0.5222 03/06 01:10:24 - mmengine - INFO - Epoch(train) [98][2000/5005] lr: 1.0000e-04 eta: 1:32:16 time: 0.4213 data_time: 0.0036 loss: 0.8682 03/06 01:11:07 - mmengine - INFO - Epoch(train) [98][2100/5005] lr: 1.0000e-04 eta: 1:31:34 time: 0.4266 data_time: 0.0036 loss: 0.6718 03/06 01:11:50 - mmengine - INFO - Epoch(train) [98][2200/5005] lr: 1.0000e-04 eta: 1:30:51 time: 0.4261 data_time: 0.0036 loss: 0.6396 03/06 01:12:33 - mmengine - INFO - Epoch(train) [98][2300/5005] lr: 1.0000e-04 eta: 1:30:08 time: 0.4263 data_time: 0.0038 loss: 0.7238 03/06 01:13:16 - mmengine - INFO - Epoch(train) [98][2400/5005] lr: 1.0000e-04 eta: 1:29:26 time: 0.4331 data_time: 0.0037 loss: 0.6732 03/06 01:13:59 - mmengine - INFO - Epoch(train) [98][2500/5005] lr: 1.0000e-04 eta: 1:28:43 time: 0.4236 data_time: 0.0039 loss: 0.5482 03/06 01:14:05 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:14:42 - mmengine - INFO - Epoch(train) [98][2600/5005] lr: 1.0000e-04 eta: 1:28:01 time: 0.4208 data_time: 0.0037 loss: 0.4915 03/06 01:15:24 - mmengine - INFO - Epoch(train) [98][2700/5005] lr: 1.0000e-04 eta: 1:27:18 time: 0.4231 data_time: 0.0039 loss: 0.6722 03/06 01:16:07 - mmengine - INFO - Epoch(train) [98][2800/5005] lr: 1.0000e-04 eta: 1:26:36 time: 0.4195 data_time: 0.0040 loss: 0.5885 03/06 01:16:50 - mmengine - INFO - Epoch(train) [98][2900/5005] lr: 1.0000e-04 eta: 1:25:53 time: 0.4277 data_time: 0.0037 loss: 0.5111 03/06 01:17:33 - mmengine - INFO - Epoch(train) [98][3000/5005] lr: 1.0000e-04 eta: 1:25:11 time: 0.4297 data_time: 0.0037 loss: 0.7551 03/06 01:18:16 - mmengine - INFO - Epoch(train) [98][3100/5005] lr: 1.0000e-04 eta: 1:24:28 time: 0.4265 data_time: 0.0035 loss: 0.6023 03/06 01:18:59 - mmengine - INFO - Epoch(train) [98][3200/5005] lr: 1.0000e-04 eta: 1:23:46 time: 0.4261 data_time: 0.0037 loss: 0.7644 03/06 01:19:42 - mmengine - INFO - Epoch(train) [98][3300/5005] lr: 1.0000e-04 eta: 1:23:03 time: 0.4270 data_time: 0.0036 loss: 0.8447 03/06 01:20:25 - mmengine - INFO - Epoch(train) [98][3400/5005] lr: 1.0000e-04 eta: 1:22:21 time: 0.4239 data_time: 0.0037 loss: 0.5880 03/06 01:21:07 - mmengine - INFO - Epoch(train) [98][3500/5005] lr: 1.0000e-04 eta: 1:21:38 time: 0.4303 data_time: 0.0035 loss: 0.5057 03/06 01:21:14 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:21:50 - mmengine - INFO - Epoch(train) [98][3600/5005] lr: 1.0000e-04 eta: 1:20:56 time: 0.4230 data_time: 0.0036 loss: 0.6830 03/06 01:22:33 - mmengine - INFO - Epoch(train) [98][3700/5005] lr: 1.0000e-04 eta: 1:20:13 time: 0.4266 data_time: 0.0036 loss: 0.4846 03/06 01:23:16 - mmengine - INFO - Epoch(train) [98][3800/5005] lr: 1.0000e-04 eta: 1:19:30 time: 0.4298 data_time: 0.0038 loss: 0.6392 03/06 01:23:59 - mmengine - INFO - Epoch(train) [98][3900/5005] lr: 1.0000e-04 eta: 1:18:48 time: 0.4272 data_time: 0.0036 loss: 0.6366 03/06 01:24:42 - mmengine - INFO - Epoch(train) [98][4000/5005] lr: 1.0000e-04 eta: 1:18:05 time: 0.4262 data_time: 0.0037 loss: 0.6891 03/06 01:25:24 - mmengine - INFO - Epoch(train) [98][4100/5005] lr: 1.0000e-04 eta: 1:17:23 time: 0.4294 data_time: 0.0036 loss: 0.6695 03/06 01:26:07 - mmengine - INFO - Epoch(train) [98][4200/5005] lr: 1.0000e-04 eta: 1:16:40 time: 0.4374 data_time: 0.0036 loss: 0.6897 03/06 01:26:50 - mmengine - INFO - Epoch(train) [98][4300/5005] lr: 1.0000e-04 eta: 1:15:58 time: 0.4374 data_time: 0.0036 loss: 0.5649 03/06 01:27:33 - mmengine - INFO - Epoch(train) [98][4400/5005] lr: 1.0000e-04 eta: 1:15:15 time: 0.4261 data_time: 0.0038 loss: 0.6281 03/06 01:28:16 - mmengine - INFO - Epoch(train) [98][4500/5005] lr: 1.0000e-04 eta: 1:14:33 time: 0.4302 data_time: 0.0039 loss: 0.6351 03/06 01:28:22 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:28:59 - mmengine - INFO - Epoch(train) [98][4600/5005] lr: 1.0000e-04 eta: 1:13:50 time: 0.4250 data_time: 0.0036 loss: 0.6741 03/06 01:29:42 - mmengine - INFO - Epoch(train) [98][4700/5005] lr: 1.0000e-04 eta: 1:13:08 time: 0.4253 data_time: 0.0039 loss: 0.4564 03/06 01:30:24 - mmengine - INFO - Epoch(train) [98][4800/5005] lr: 1.0000e-04 eta: 1:12:25 time: 0.4267 data_time: 0.0037 loss: 0.7472 03/06 01:31:07 - mmengine - INFO - Epoch(train) [98][4900/5005] lr: 1.0000e-04 eta: 1:11:43 time: 0.4283 data_time: 0.0039 loss: 0.6306 03/06 01:31:50 - mmengine - INFO - Epoch(train) [98][5000/5005] lr: 1.0000e-04 eta: 1:11:00 time: 0.4216 data_time: 0.0035 loss: 0.6282 03/06 01:31:52 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:31:53 - mmengine - INFO - Saving checkpoint at 98 epochs 03/06 01:32:05 - mmengine - INFO - Epoch(val) [98][100/196] eta: 0:00:08 time: 0.0276 data_time: 0.0005 03/06 01:32:19 - mmengine - INFO - Epoch(val) [98][196/196] accuracy/top1: 79.3260 accuracy/top5: 94.5000 03/06 01:33:05 - mmengine - INFO - Epoch(train) [99][ 100/5005] lr: 1.0000e-04 eta: 1:10:15 time: 0.4309 data_time: 0.0050 loss: 0.6196 03/06 01:33:48 - mmengine - INFO - Epoch(train) [99][ 200/5005] lr: 1.0000e-04 eta: 1:09:33 time: 0.4282 data_time: 0.0040 loss: 0.5818 03/06 01:34:32 - mmengine - INFO - Epoch(train) [99][ 300/5005] lr: 1.0000e-04 eta: 1:08:50 time: 0.4479 data_time: 0.0038 loss: 0.5867 03/06 01:35:15 - mmengine - INFO - Epoch(train) [99][ 400/5005] lr: 1.0000e-04 eta: 1:08:08 time: 0.4255 data_time: 0.0037 loss: 0.7217 03/06 01:35:58 - mmengine - INFO - Epoch(train) [99][ 500/5005] lr: 1.0000e-04 eta: 1:07:25 time: 0.4214 data_time: 0.0037 loss: 0.5886 03/06 01:36:02 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:36:41 - mmengine - INFO - Epoch(train) [99][ 600/5005] lr: 1.0000e-04 eta: 1:06:43 time: 0.4237 data_time: 0.0037 loss: 0.6719 03/06 01:37:24 - mmengine - INFO - Epoch(train) [99][ 700/5005] lr: 1.0000e-04 eta: 1:06:00 time: 0.4329 data_time: 0.0036 loss: 0.7083 03/06 01:38:06 - mmengine - INFO - Epoch(train) [99][ 800/5005] lr: 1.0000e-04 eta: 1:05:18 time: 0.4257 data_time: 0.0042 loss: 0.7189 03/06 01:38:49 - mmengine - INFO - Epoch(train) [99][ 900/5005] lr: 1.0000e-04 eta: 1:04:35 time: 0.4251 data_time: 0.0039 loss: 0.5835 03/06 01:39:33 - mmengine - INFO - Epoch(train) [99][1000/5005] lr: 1.0000e-04 eta: 1:03:53 time: 0.4679 data_time: 0.0040 loss: 0.5872 03/06 01:40:16 - mmengine - INFO - Epoch(train) [99][1100/5005] lr: 1.0000e-04 eta: 1:03:10 time: 0.4292 data_time: 0.0040 loss: 0.6348 03/06 01:40:59 - mmengine - INFO - Epoch(train) [99][1200/5005] lr: 1.0000e-04 eta: 1:02:27 time: 0.4247 data_time: 0.0038 loss: 0.6054 03/06 01:41:42 - mmengine - INFO - Epoch(train) [99][1300/5005] lr: 1.0000e-04 eta: 1:01:45 time: 0.4253 data_time: 0.0041 loss: 0.6229 03/06 01:42:25 - mmengine - INFO - Epoch(train) [99][1400/5005] lr: 1.0000e-04 eta: 1:01:02 time: 0.4254 data_time: 0.0036 loss: 0.6142 03/06 01:43:08 - mmengine - INFO - Epoch(train) [99][1500/5005] lr: 1.0000e-04 eta: 1:00:20 time: 0.4221 data_time: 0.0037 loss: 0.6397 03/06 01:43:12 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:43:50 - mmengine - INFO - Epoch(train) [99][1600/5005] lr: 1.0000e-04 eta: 0:59:37 time: 0.4266 data_time: 0.0040 loss: 0.6551 03/06 01:44:34 - mmengine - INFO - Epoch(train) [99][1700/5005] lr: 1.0000e-04 eta: 0:58:55 time: 0.4277 data_time: 0.0037 loss: 0.6727 03/06 01:45:16 - mmengine - INFO - Epoch(train) [99][1800/5005] lr: 1.0000e-04 eta: 0:58:12 time: 0.4262 data_time: 0.0037 loss: 0.6935 03/06 01:45:59 - mmengine - INFO - Epoch(train) [99][1900/5005] lr: 1.0000e-04 eta: 0:57:30 time: 0.4248 data_time: 0.0038 loss: 0.7022 03/06 01:46:42 - mmengine - INFO - Epoch(train) [99][2000/5005] lr: 1.0000e-04 eta: 0:56:47 time: 0.4286 data_time: 0.0036 loss: 0.6225 03/06 01:47:25 - mmengine - INFO - Epoch(train) [99][2100/5005] lr: 1.0000e-04 eta: 0:56:05 time: 0.4263 data_time: 0.0042 loss: 0.6978 03/06 01:48:08 - mmengine - INFO - Epoch(train) [99][2200/5005] lr: 1.0000e-04 eta: 0:55:22 time: 0.4209 data_time: 0.0036 loss: 0.6597 03/06 01:48:51 - mmengine - INFO - Epoch(train) [99][2300/5005] lr: 1.0000e-04 eta: 0:54:40 time: 0.4267 data_time: 0.0040 loss: 0.6205 03/06 01:49:34 - mmengine - INFO - Epoch(train) [99][2400/5005] lr: 1.0000e-04 eta: 0:53:57 time: 0.4249 data_time: 0.0036 loss: 0.6440 03/06 01:50:16 - mmengine - INFO - Epoch(train) [99][2500/5005] lr: 1.0000e-04 eta: 0:53:14 time: 0.4279 data_time: 0.0037 loss: 0.7182 03/06 01:50:21 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:50:59 - mmengine - INFO - Epoch(train) [99][2600/5005] lr: 1.0000e-04 eta: 0:52:32 time: 0.4328 data_time: 0.0038 loss: 0.6228 03/06 01:51:42 - mmengine - INFO - Epoch(train) [99][2700/5005] lr: 1.0000e-04 eta: 0:51:49 time: 0.4241 data_time: 0.0038 loss: 0.6691 03/06 01:52:25 - mmengine - INFO - Epoch(train) [99][2800/5005] lr: 1.0000e-04 eta: 0:51:07 time: 0.4267 data_time: 0.0037 loss: 0.6034 03/06 01:53:08 - mmengine - INFO - Epoch(train) [99][2900/5005] lr: 1.0000e-04 eta: 0:50:24 time: 0.4224 data_time: 0.0037 loss: 0.6348 03/06 01:53:51 - mmengine - INFO - Epoch(train) [99][3000/5005] lr: 1.0000e-04 eta: 0:49:42 time: 0.4261 data_time: 0.0037 loss: 0.5901 03/06 01:54:33 - mmengine - INFO - Epoch(train) [99][3100/5005] lr: 1.0000e-04 eta: 0:48:59 time: 0.4243 data_time: 0.0038 loss: 0.5904 03/06 01:55:16 - mmengine - INFO - Epoch(train) [99][3200/5005] lr: 1.0000e-04 eta: 0:48:17 time: 0.4263 data_time: 0.0039 loss: 0.8352 03/06 01:55:59 - mmengine - INFO - Epoch(train) [99][3300/5005] lr: 1.0000e-04 eta: 0:47:34 time: 0.4281 data_time: 0.0037 loss: 0.5739 03/06 01:56:42 - mmengine - INFO - Epoch(train) [99][3400/5005] lr: 1.0000e-04 eta: 0:46:52 time: 0.4314 data_time: 0.0040 loss: 0.7378 03/06 01:57:25 - mmengine - INFO - Epoch(train) [99][3500/5005] lr: 1.0000e-04 eta: 0:46:09 time: 0.4289 data_time: 0.0036 loss: 0.5591 03/06 01:57:29 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 01:58:08 - mmengine - INFO - Epoch(train) [99][3600/5005] lr: 1.0000e-04 eta: 0:45:27 time: 0.4229 data_time: 0.0039 loss: 0.5957 03/06 01:58:51 - mmengine - INFO - Epoch(train) [99][3700/5005] lr: 1.0000e-04 eta: 0:44:44 time: 0.4247 data_time: 0.0036 loss: 0.7143 03/06 01:59:33 - mmengine - INFO - Epoch(train) [99][3800/5005] lr: 1.0000e-04 eta: 0:44:01 time: 0.4240 data_time: 0.0035 loss: 0.5649 03/06 02:00:16 - mmengine - INFO - Epoch(train) [99][3900/5005] lr: 1.0000e-04 eta: 0:43:19 time: 0.4209 data_time: 0.0036 loss: 0.7278 03/06 02:00:59 - mmengine - INFO - Epoch(train) [99][4000/5005] lr: 1.0000e-04 eta: 0:42:36 time: 0.4290 data_time: 0.0038 loss: 0.6674 03/06 02:01:42 - mmengine - INFO - Epoch(train) [99][4100/5005] lr: 1.0000e-04 eta: 0:41:54 time: 0.4274 data_time: 0.0036 loss: 0.5341 03/06 02:02:25 - mmengine - INFO - Epoch(train) [99][4200/5005] lr: 1.0000e-04 eta: 0:41:11 time: 0.4278 data_time: 0.0039 loss: 0.6283 03/06 02:03:08 - mmengine - INFO - Epoch(train) [99][4300/5005] lr: 1.0000e-04 eta: 0:40:29 time: 0.4306 data_time: 0.0038 loss: 0.6853 03/06 02:03:51 - mmengine - INFO - Epoch(train) [99][4400/5005] lr: 1.0000e-04 eta: 0:39:46 time: 0.4255 data_time: 0.0039 loss: 0.6936 03/06 02:04:34 - mmengine - INFO - Epoch(train) [99][4500/5005] lr: 1.0000e-04 eta: 0:39:04 time: 0.4266 data_time: 0.0036 loss: 0.6461 03/06 02:04:38 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:05:17 - mmengine - INFO - Epoch(train) [99][4600/5005] lr: 1.0000e-04 eta: 0:38:21 time: 0.4298 data_time: 0.0038 loss: 0.5797 03/06 02:05:59 - mmengine - INFO - Epoch(train) [99][4700/5005] lr: 1.0000e-04 eta: 0:37:39 time: 0.4296 data_time: 0.0037 loss: 0.6435 03/06 02:06:42 - mmengine - INFO - Epoch(train) [99][4800/5005] lr: 1.0000e-04 eta: 0:36:56 time: 0.4281 data_time: 0.0036 loss: 0.3806 03/06 02:07:25 - mmengine - INFO - Epoch(train) [99][4900/5005] lr: 1.0000e-04 eta: 0:36:13 time: 0.4315 data_time: 0.0037 loss: 0.6728 03/06 02:08:08 - mmengine - INFO - Epoch(train) [99][5000/5005] lr: 1.0000e-04 eta: 0:35:31 time: 0.4251 data_time: 0.0035 loss: 0.6130 03/06 02:08:10 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:08:11 - mmengine - INFO - Saving checkpoint at 99 epochs 03/06 02:08:23 - mmengine - INFO - Epoch(val) [99][100/196] eta: 0:00:08 time: 0.0298 data_time: 0.0005 03/06 02:08:37 - mmengine - INFO - Epoch(val) [99][196/196] accuracy/top1: 79.3320 accuracy/top5: 94.5480 03/06 02:09:23 - mmengine - INFO - Epoch(train) [100][ 100/5005] lr: 1.0000e-04 eta: 0:34:46 time: 0.4304 data_time: 0.0037 loss: 0.8316 03/06 02:10:06 - mmengine - INFO - Epoch(train) [100][ 200/5005] lr: 1.0000e-04 eta: 0:34:04 time: 0.4306 data_time: 0.0036 loss: 0.4292 03/06 02:10:49 - mmengine - INFO - Epoch(train) [100][ 300/5005] lr: 1.0000e-04 eta: 0:33:21 time: 0.4311 data_time: 0.0036 loss: 0.6589 03/06 02:11:32 - mmengine - INFO - Epoch(train) [100][ 400/5005] lr: 1.0000e-04 eta: 0:32:39 time: 0.4261 data_time: 0.0036 loss: 0.7180 03/06 02:12:15 - mmengine - INFO - Epoch(train) [100][ 500/5005] lr: 1.0000e-04 eta: 0:31:56 time: 0.4248 data_time: 0.0038 loss: 0.5901 03/06 02:12:17 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:12:57 - mmengine - INFO - Epoch(train) [100][ 600/5005] lr: 1.0000e-04 eta: 0:31:14 time: 0.4283 data_time: 0.0039 loss: 0.8092 03/06 02:13:40 - mmengine - INFO - Epoch(train) [100][ 700/5005] lr: 1.0000e-04 eta: 0:30:31 time: 0.4281 data_time: 0.0039 loss: 0.5675 03/06 02:14:23 - mmengine - INFO - Epoch(train) [100][ 800/5005] lr: 1.0000e-04 eta: 0:29:49 time: 0.4304 data_time: 0.0036 loss: 0.5953 03/06 02:15:06 - mmengine - INFO - Epoch(train) [100][ 900/5005] lr: 1.0000e-04 eta: 0:29:06 time: 0.4276 data_time: 0.0037 loss: 0.6398 03/06 02:15:49 - mmengine - INFO - Epoch(train) [100][1000/5005] lr: 1.0000e-04 eta: 0:28:23 time: 0.4267 data_time: 0.0037 loss: 0.6150 03/06 02:16:32 - mmengine - INFO - Epoch(train) [100][1100/5005] lr: 1.0000e-04 eta: 0:27:41 time: 0.4265 data_time: 0.0040 loss: 0.6812 03/06 02:17:15 - mmengine - INFO - Epoch(train) [100][1200/5005] lr: 1.0000e-04 eta: 0:26:58 time: 0.4258 data_time: 0.0037 loss: 0.7100 03/06 02:17:58 - mmengine - INFO - Epoch(train) [100][1300/5005] lr: 1.0000e-04 eta: 0:26:16 time: 0.4272 data_time: 0.0037 loss: 0.5901 03/06 02:18:41 - mmengine - INFO - Epoch(train) [100][1400/5005] lr: 1.0000e-04 eta: 0:25:33 time: 0.4280 data_time: 0.0041 loss: 0.5820 03/06 02:19:23 - mmengine - INFO - Epoch(train) [100][1500/5005] lr: 1.0000e-04 eta: 0:24:51 time: 0.4269 data_time: 0.0037 loss: 0.7033 03/06 02:19:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:20:06 - mmengine - INFO - Epoch(train) [100][1600/5005] lr: 1.0000e-04 eta: 0:24:08 time: 0.4358 data_time: 0.0036 loss: 0.5477 03/06 02:20:49 - mmengine - INFO - Epoch(train) [100][1700/5005] lr: 1.0000e-04 eta: 0:23:26 time: 0.4224 data_time: 0.0042 loss: 0.6507 03/06 02:21:32 - mmengine - INFO - Epoch(train) [100][1800/5005] lr: 1.0000e-04 eta: 0:22:43 time: 0.4337 data_time: 0.0037 loss: 0.6138 03/06 02:22:15 - mmengine - INFO - Epoch(train) [100][1900/5005] lr: 1.0000e-04 eta: 0:22:01 time: 0.4285 data_time: 0.0038 loss: 0.6851 03/06 02:22:58 - mmengine - INFO - Epoch(train) [100][2000/5005] lr: 1.0000e-04 eta: 0:21:18 time: 0.4239 data_time: 0.0038 loss: 0.7343 03/06 02:23:41 - mmengine - INFO - Epoch(train) [100][2100/5005] lr: 1.0000e-04 eta: 0:20:35 time: 0.4278 data_time: 0.0038 loss: 0.7157 03/06 02:24:24 - mmengine - INFO - Epoch(train) [100][2200/5005] lr: 1.0000e-04 eta: 0:19:53 time: 0.4275 data_time: 0.0036 loss: 0.6266 03/06 02:25:06 - mmengine - INFO - Epoch(train) [100][2300/5005] lr: 1.0000e-04 eta: 0:19:10 time: 0.4236 data_time: 0.0037 loss: 0.8181 03/06 02:25:49 - mmengine - INFO - Epoch(train) [100][2400/5005] lr: 1.0000e-04 eta: 0:18:28 time: 0.4272 data_time: 0.0037 loss: 0.6116 03/06 02:26:32 - mmengine - INFO - Epoch(train) [100][2500/5005] lr: 1.0000e-04 eta: 0:17:45 time: 0.4310 data_time: 0.0038 loss: 0.7194 03/06 02:26:34 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:27:15 - mmengine - INFO - Epoch(train) [100][2600/5005] lr: 1.0000e-04 eta: 0:17:03 time: 0.4270 data_time: 0.0037 loss: 0.5825 03/06 02:27:58 - mmengine - INFO - Epoch(train) [100][2700/5005] lr: 1.0000e-04 eta: 0:16:20 time: 0.4232 data_time: 0.0038 loss: 0.6438 03/06 02:28:41 - mmengine - INFO - Epoch(train) [100][2800/5005] lr: 1.0000e-04 eta: 0:15:38 time: 0.4285 data_time: 0.0037 loss: 0.6556 03/06 02:29:23 - mmengine - INFO - Epoch(train) [100][2900/5005] lr: 1.0000e-04 eta: 0:14:55 time: 0.4289 data_time: 0.0038 loss: 0.6117 03/06 02:30:06 - mmengine - INFO - Epoch(train) [100][3000/5005] lr: 1.0000e-04 eta: 0:14:13 time: 0.4269 data_time: 0.0036 loss: 0.6358 03/06 02:30:49 - mmengine - INFO - Epoch(train) [100][3100/5005] lr: 1.0000e-04 eta: 0:13:30 time: 0.4264 data_time: 0.0037 loss: 0.5115 03/06 02:31:32 - mmengine - INFO - Epoch(train) [100][3200/5005] lr: 1.0000e-04 eta: 0:12:47 time: 0.4292 data_time: 0.0036 loss: 0.5390 03/06 02:32:15 - mmengine - INFO - Epoch(train) [100][3300/5005] lr: 1.0000e-04 eta: 0:12:05 time: 0.4297 data_time: 0.0036 loss: 0.7055 03/06 02:32:58 - mmengine - INFO - Epoch(train) [100][3400/5005] lr: 1.0000e-04 eta: 0:11:22 time: 0.4253 data_time: 0.0041 loss: 0.6864 03/06 02:33:41 - mmengine - INFO - Epoch(train) [100][3500/5005] lr: 1.0000e-04 eta: 0:10:40 time: 0.4274 data_time: 0.0036 loss: 0.6473 03/06 02:33:43 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:34:23 - mmengine - INFO - Epoch(train) [100][3600/5005] lr: 1.0000e-04 eta: 0:09:57 time: 0.4282 data_time: 0.0040 loss: 0.6838 03/06 02:35:06 - mmengine - INFO - Epoch(train) [100][3700/5005] lr: 1.0000e-04 eta: 0:09:15 time: 0.4298 data_time: 0.0037 loss: 0.6956 03/06 02:35:49 - mmengine - INFO - Epoch(train) [100][3800/5005] lr: 1.0000e-04 eta: 0:08:32 time: 0.4251 data_time: 0.0037 loss: 0.5520 03/06 02:36:32 - mmengine - INFO - Epoch(train) [100][3900/5005] lr: 1.0000e-04 eta: 0:07:50 time: 0.4297 data_time: 0.0037 loss: 0.7306 03/06 02:37:15 - mmengine - INFO - Epoch(train) [100][4000/5005] lr: 1.0000e-04 eta: 0:07:07 time: 0.4237 data_time: 0.0037 loss: 0.6831 03/06 02:37:58 - mmengine - INFO - Epoch(train) [100][4100/5005] lr: 1.0000e-04 eta: 0:06:25 time: 0.4280 data_time: 0.0037 loss: 0.6116 03/06 02:38:40 - mmengine - INFO - Epoch(train) [100][4200/5005] lr: 1.0000e-04 eta: 0:05:42 time: 0.4233 data_time: 0.0037 loss: 0.6880 03/06 02:39:23 - mmengine - INFO - Epoch(train) [100][4300/5005] lr: 1.0000e-04 eta: 0:04:59 time: 0.4229 data_time: 0.0037 loss: 0.6316 03/06 02:40:06 - mmengine - INFO - Epoch(train) [100][4400/5005] lr: 1.0000e-04 eta: 0:04:17 time: 0.4246 data_time: 0.0038 loss: 0.6132 03/06 02:40:49 - mmengine - INFO - Epoch(train) [100][4500/5005] lr: 1.0000e-04 eta: 0:03:34 time: 0.4272 data_time: 0.0037 loss: 0.6039 03/06 02:40:51 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:41:32 - mmengine - INFO - Epoch(train) [100][4600/5005] lr: 1.0000e-04 eta: 0:02:52 time: 0.4243 data_time: 0.0038 loss: 0.5569 03/06 02:42:15 - mmengine - INFO - Epoch(train) [100][4700/5005] lr: 1.0000e-04 eta: 0:02:09 time: 0.4254 data_time: 0.0040 loss: 0.6593 03/06 02:42:58 - mmengine - INFO - Epoch(train) [100][4800/5005] lr: 1.0000e-04 eta: 0:01:27 time: 0.4306 data_time: 0.0036 loss: 0.6695 03/06 02:43:40 - mmengine - INFO - Epoch(train) [100][4900/5005] lr: 1.0000e-04 eta: 0:00:44 time: 0.4280 data_time: 0.0037 loss: 0.6379 03/06 02:44:23 - mmengine - INFO - Epoch(train) [100][5000/5005] lr: 1.0000e-04 eta: 0:00:02 time: 0.4214 data_time: 0.0035 loss: 0.6875 03/06 02:44:26 - mmengine - INFO - Exp name: resnetv1d152_8xb32_in1k_20230303_144210 03/06 02:44:26 - mmengine - INFO - Saving checkpoint at 100 epochs 03/06 02:44:39 - mmengine - INFO - Epoch(val) [100][100/196] eta: 0:00:08 time: 0.0300 data_time: 0.0005 03/06 02:44:52 - mmengine - INFO - Epoch(val) [100][196/196] accuracy/top1: 79.4120 accuracy/top5: 94.4860