[W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) 03/09 19:42:39 - 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: 596235044 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 ------------------------------------------------------------ 03/09 19:42:39 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict(type='MobileNetV3', arch='small'), neck=dict(type='GlobalAveragePooling'), head=dict( type='StackedLinearClsHead', num_classes=1000, in_channels=576, mid_channels=[1024], dropout_rate=0.2, act_cfg=dict(type='HSwish'), loss=dict(type='CrossEntropyLoss', loss_weight=1.0), init_cfg=dict( type='Normal', layer='Linear', mean=0.0, std=0.01, bias=0.0), 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) bgr_mean = [103.53, 116.28, 123.675] bgr_std = [57.375, 57.12, 58.395] train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, 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=128, num_workers=5, 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)) 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) optim_wrapper = dict( optimizer=dict( type='RMSprop', lr=0.064, alpha=0.9, momentum=0.9, eps=0.0316, weight_decay=1e-05)) param_scheduler = dict(type='StepLR', by_epoch=True, step_size=2, gamma=0.973) train_cfg = dict(by_epoch=True, max_epochs=600, val_interval=1) val_cfg = dict() test_cfg = dict() auto_scale_lr = dict(base_batch_size=1024) launcher = 'pytorch' work_dir = './work_dirs/mobilenet-v3-small_8xb128_in1k' 03/09 19:42:39 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:42:39 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:42:40 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_TransData_cff7e25b6e8a53ebd26d72d8ec34241132427ee832fc08696b3779210663c5c3.o': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_Conv2DBackpropInput_44aea27da836e303e32d4d50bf1f4a7d7cd89751950190c86fea26c8c478a302.json': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_Conv2DBackpropFilter_531edf47942817c1a79c28b40ff655889974e9385c3ad2664f75e8a2266ae721.o': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_TransData_cff7e25b6e8a53ebd26d72d8ec34241132427ee832fc08696b3779210663c5c3.json': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_TransData_cff7e25b6e8a53ebd26d72d8ec34241132427ee832fc08696b3779210663c5c3.json': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_TransData_a3b488d9967b1c0b355e524a6d24a1dc18d15c1c2d9e9e60cfb93b7d9f7a4b86.json': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_Conv2DBackpropFilter_2d3b465fb826fb0d992afdae3d48a0fd99621c6236acb5e5606a57cbf425763a.json': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_TransData_a3b488d9967b1c0b355e524a6d24a1dc18d15c1c2d9e9e60cfb93b7d9f7a4b86.o': No such file or directory du: cannot access '/home/lml/mmcv_2.x/mmclassification/cache/fuzzy_kernel_cache/Ascend910A/te_Conv2DBackpropFilter_349cf055abb7e560c5de13c8ec9d88df064263a5493100108ef3c31b72e78106.o': No such file or directory 03/09 19:44:04 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:44:04 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 03/09 19:44:04 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:44:04 - mmengine - WARNING - The "transform" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/09 19:44:12 - mmengine - WARNING - The "data sampler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:44:12 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:44:12 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:44:12 - 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 03/09 19:44:12 - mmengine - WARNING - The "parameter scheduler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:44:13 - 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 03/09 19:44:28 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/09 19:45:03 - mmengine - INFO - Checkpoints will be saved to /home/lml/mmcv_2.x/mmclassification/work_dirs/mobilenet-v3-small_8xb128_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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], strides() = [1] (function operator()) 03/09 19:51:49 - mmengine - INFO - Epoch(train) [1][ 100/1252] lr: 6.4000e-02 eta: 35 days, 7:20:05 time: 0.4372 data_time: 0.0024 loss: 6.7759 03/09 19:52:24 - mmengine - INFO - Epoch(train) [1][ 200/1252] lr: 6.4000e-02 eta: 19 days, 4:27:31 time: 0.4111 data_time: 0.0014 loss: 6.5201 03/09 19:52:59 - mmengine - INFO - Epoch(train) [1][ 300/1252] lr: 6.4000e-02 eta: 13 days, 19:22:03 time: 0.2866 data_time: 0.0014 loss: 6.3851 03/09 19:53:35 - mmengine - INFO - Epoch(train) [1][ 400/1252] lr: 6.4000e-02 eta: 11 days, 3:13:01 time: 0.4055 data_time: 0.0014 loss: 6.2745 03/09 19:54:12 - mmengine - INFO - Epoch(train) [1][ 500/1252] lr: 6.4000e-02 eta: 9 days, 13:02:50 time: 0.3423 data_time: 0.0014 loss: 6.1563 03/09 19:54:47 - mmengine - INFO - Epoch(train) [1][ 600/1252] lr: 6.4000e-02 eta: 8 days, 11:14:47 time: 0.3861 data_time: 0.0015 loss: 6.0630 03/09 19:55:25 - mmengine - INFO - Epoch(train) [1][ 700/1252] lr: 6.4000e-02 eta: 7 days, 17:23:48 time: 0.3778 data_time: 0.0014 loss: 6.0275 03/09 19:56:01 - mmengine - INFO - Epoch(train) [1][ 800/1252] lr: 6.4000e-02 eta: 7 days, 3:39:28 time: 0.3649 data_time: 0.0016 loss: 5.8313 03/09 19:56:37 - mmengine - INFO - Epoch(train) [1][ 900/1252] lr: 6.4000e-02 eta: 6 days, 16:51:17 time: 0.3487 data_time: 0.0015 loss: 5.7357 03/09 19:57:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 19:57:14 - mmengine - INFO - Epoch(train) [1][1000/1252] lr: 6.4000e-02 eta: 6 days, 8:30:02 time: 0.3975 data_time: 0.0015 loss: 5.6895 03/09 19:57:49 - mmengine - INFO - Epoch(train) [1][1100/1252] lr: 6.4000e-02 eta: 6 days, 1:06:59 time: 0.3446 data_time: 0.0017 loss: 5.6078 03/09 19:58:25 - mmengine - INFO - Epoch(train) [1][1200/1252] lr: 6.4000e-02 eta: 5 days, 19:22:40 time: 0.4024 data_time: 0.0013 loss: 5.5112 03/09 20:01:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:01:27 - mmengine - INFO - Saving checkpoint at 1 epochs 03/09 20:03:39 - mmengine - INFO - Epoch(val) [1][49/49] accuracy/top1: 5.1260 accuracy/top5: 16.3600 03/09 20:04:19 - mmengine - INFO - Epoch(train) [2][ 100/1252] lr: 6.4000e-02 eta: 6 days, 13:42:07 time: 0.4106 data_time: 0.0021 loss: 5.3184 03/09 20:04:55 - mmengine - INFO - Epoch(train) [2][ 200/1252] lr: 6.4000e-02 eta: 6 days, 7:55:15 time: 0.4040 data_time: 0.0014 loss: 5.3091 03/09 20:05:32 - mmengine - INFO - Epoch(train) [2][ 300/1252] lr: 6.4000e-02 eta: 6 days, 3:03:45 time: 0.3738 data_time: 0.0018 loss: 5.2787 03/09 20:06:08 - mmengine - INFO - Epoch(train) [2][ 400/1252] lr: 6.4000e-02 eta: 5 days, 22:42:51 time: 0.3073 data_time: 0.0017 loss: 5.1831 03/09 20:06:46 - mmengine - INFO - Epoch(train) [2][ 500/1252] lr: 6.4000e-02 eta: 5 days, 19:01:18 time: 0.3338 data_time: 0.0019 loss: 5.1015 03/09 20:07:22 - mmengine - INFO - Epoch(train) [2][ 600/1252] lr: 6.4000e-02 eta: 5 days, 15:37:24 time: 0.3895 data_time: 0.0015 loss: 5.0089 03/09 20:07:59 - mmengine - INFO - Epoch(train) [2][ 700/1252] lr: 6.4000e-02 eta: 5 days, 12:32:50 time: 0.3687 data_time: 0.0017 loss: 4.9081 03/09 20:08:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:08:35 - mmengine - INFO - Epoch(train) [2][ 800/1252] lr: 6.4000e-02 eta: 5 days, 9:45:02 time: 0.3863 data_time: 0.0013 loss: 5.0220 03/09 20:09:13 - mmengine - INFO - Epoch(train) [2][ 900/1252] lr: 6.4000e-02 eta: 5 days, 7:24:39 time: 0.4012 data_time: 0.0014 loss: 4.8630 03/09 20:09:49 - mmengine - INFO - Epoch(train) [2][1000/1252] lr: 6.4000e-02 eta: 5 days, 5:03:49 time: 0.3902 data_time: 0.0017 loss: 4.9148 03/09 20:10:26 - mmengine - INFO - Epoch(train) [2][1100/1252] lr: 6.4000e-02 eta: 5 days, 2:56:12 time: 0.2713 data_time: 0.0018 loss: 4.7466 03/09 20:11:03 - mmengine - INFO - Epoch(train) [2][1200/1252] lr: 6.4000e-02 eta: 5 days, 1:02:04 time: 0.4146 data_time: 0.0015 loss: 4.7095 03/09 20:11:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:11:22 - mmengine - INFO - Saving checkpoint at 2 epochs 03/09 20:11:47 - mmengine - INFO - Epoch(val) [2][49/49] accuracy/top1: 7.0820 accuracy/top5: 18.8580 03/09 20:12:25 - mmengine - INFO - Epoch(train) [3][ 100/1252] lr: 6.2272e-02 eta: 4 days, 22:32:45 time: 0.3858 data_time: 0.0019 loss: 4.6737 03/09 20:13:02 - mmengine - INFO - Epoch(train) [3][ 200/1252] lr: 6.2272e-02 eta: 4 days, 20:59:11 time: 0.3890 data_time: 0.0016 loss: 4.6435 03/09 20:13:39 - mmengine - INFO - Epoch(train) [3][ 300/1252] lr: 6.2272e-02 eta: 4 days, 19:32:53 time: 0.3596 data_time: 0.0019 loss: 4.6153 03/09 20:14:15 - mmengine - INFO - Epoch(train) [3][ 400/1252] lr: 6.2272e-02 eta: 4 days, 18:07:58 time: 0.3219 data_time: 0.0018 loss: 4.6149 03/09 20:14:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:14:53 - mmengine - INFO - Epoch(train) [3][ 500/1252] lr: 6.2272e-02 eta: 4 days, 16:55:16 time: 0.3825 data_time: 0.0018 loss: 4.4667 03/09 20:15:29 - mmengine - INFO - Epoch(train) [3][ 600/1252] lr: 6.2272e-02 eta: 4 days, 15:41:20 time: 0.3229 data_time: 0.0014 loss: 4.5082 03/09 20:16:06 - mmengine - INFO - Epoch(train) [3][ 700/1252] lr: 6.2272e-02 eta: 4 days, 14:33:38 time: 0.3032 data_time: 0.0017 loss: 4.5021 03/09 20:16:44 - mmengine - INFO - Epoch(train) [3][ 800/1252] lr: 6.2272e-02 eta: 4 days, 13:35:39 time: 0.4344 data_time: 0.0018 loss: 4.4124 03/09 20:17:21 - mmengine - INFO - Epoch(train) [3][ 900/1252] lr: 6.2272e-02 eta: 4 days, 12:38:17 time: 0.4298 data_time: 0.0016 loss: 4.2789 03/09 20:17:58 - mmengine - INFO - Epoch(train) [3][1000/1252] lr: 6.2272e-02 eta: 4 days, 11:43:07 time: 0.3971 data_time: 0.0016 loss: 4.4271 03/09 20:18:35 - mmengine - INFO - Epoch(train) [3][1100/1252] lr: 6.2272e-02 eta: 4 days, 10:49:48 time: 0.3844 data_time: 0.0018 loss: 4.3266 03/09 20:19:11 - mmengine - INFO - Epoch(train) [3][1200/1252] lr: 6.2272e-02 eta: 4 days, 9:58:22 time: 0.3853 data_time: 0.0014 loss: 4.1856 03/09 20:19:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:19:29 - mmengine - INFO - Saving checkpoint at 3 epochs 03/09 20:19:54 - mmengine - INFO - Epoch(val) [3][49/49] accuracy/top1: 17.2380 accuracy/top5: 38.1240 03/09 20:20:32 - mmengine - INFO - Epoch(train) [4][ 100/1252] lr: 6.2272e-02 eta: 4 days, 8:46:43 time: 0.3544 data_time: 0.0016 loss: 4.2035 03/09 20:21:09 - mmengine - INFO - Epoch(train) [4][ 200/1252] lr: 6.2272e-02 eta: 4 days, 8:05:29 time: 0.3884 data_time: 0.0019 loss: 4.3773 03/09 20:21:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:21:46 - mmengine - INFO - Epoch(train) [4][ 300/1252] lr: 6.2272e-02 eta: 4 days, 7:21:24 time: 0.2913 data_time: 0.0016 loss: 4.2631 03/09 20:22:23 - mmengine - INFO - Epoch(train) [4][ 400/1252] lr: 6.2272e-02 eta: 4 days, 6:44:10 time: 0.4208 data_time: 0.0016 loss: 4.0790 03/09 20:23:01 - mmengine - INFO - Epoch(train) [4][ 500/1252] lr: 6.2272e-02 eta: 4 days, 6:08:16 time: 0.3818 data_time: 0.0016 loss: 4.1296 03/09 20:23:36 - mmengine - INFO - Epoch(train) [4][ 600/1252] lr: 6.2272e-02 eta: 4 days, 5:28:25 time: 0.3582 data_time: 0.0018 loss: 4.1089 03/09 20:24:15 - mmengine - INFO - Epoch(train) [4][ 700/1252] lr: 6.2272e-02 eta: 4 days, 4:58:05 time: 0.4597 data_time: 0.0019 loss: 4.2563 03/09 20:24:50 - mmengine - INFO - Epoch(train) [4][ 800/1252] lr: 6.2272e-02 eta: 4 days, 4:21:16 time: 0.3624 data_time: 0.0013 loss: 4.0863 03/09 20:25:27 - mmengine - INFO - Epoch(train) [4][ 900/1252] lr: 6.2272e-02 eta: 4 days, 3:51:02 time: 0.4018 data_time: 0.0018 loss: 4.2242 03/09 20:26:05 - mmengine - INFO - Epoch(train) [4][1000/1252] lr: 6.2272e-02 eta: 4 days, 3:21:46 time: 0.3444 data_time: 0.0016 loss: 4.1575 03/09 20:26:42 - mmengine - INFO - Epoch(train) [4][1100/1252] lr: 6.2272e-02 eta: 4 days, 2:54:15 time: 0.3633 data_time: 0.0017 loss: 4.0518 03/09 20:27:19 - mmengine - INFO - Epoch(train) [4][1200/1252] lr: 6.2272e-02 eta: 4 days, 2:26:08 time: 0.3805 data_time: 0.0017 loss: 4.1115 03/09 20:27:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:27:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:27:37 - mmengine - INFO - Saving checkpoint at 4 epochs 03/09 20:28:01 - mmengine - INFO - Epoch(val) [4][49/49] accuracy/top1: 21.3660 accuracy/top5: 43.4260 03/09 20:28:40 - mmengine - INFO - Epoch(train) [5][ 100/1252] lr: 6.0591e-02 eta: 4 days, 1:46:04 time: 0.3840 data_time: 0.0016 loss: 4.1042 03/09 20:29:16 - mmengine - INFO - Epoch(train) [5][ 200/1252] lr: 6.0591e-02 eta: 4 days, 1:20:01 time: 0.3270 data_time: 0.0018 loss: 3.9769 03/09 20:29:54 - mmengine - INFO - Epoch(train) [5][ 300/1252] lr: 6.0591e-02 eta: 4 days, 0:57:01 time: 0.3531 data_time: 0.0017 loss: 3.9947 03/09 20:30:31 - mmengine - INFO - Epoch(train) [5][ 400/1252] lr: 6.0591e-02 eta: 4 days, 0:33:20 time: 0.4296 data_time: 0.0016 loss: 3.8484 03/09 20:31:07 - mmengine - INFO - Epoch(train) [5][ 500/1252] lr: 6.0591e-02 eta: 4 days, 0:10:13 time: 0.3600 data_time: 0.0015 loss: 3.8999 03/09 20:31:44 - mmengine - INFO - Epoch(train) [5][ 600/1252] lr: 6.0591e-02 eta: 3 days, 23:47:36 time: 0.3528 data_time: 0.0018 loss: 4.0380 03/09 20:32:22 - mmengine - INFO - Epoch(train) [5][ 700/1252] lr: 6.0591e-02 eta: 3 days, 23:28:54 time: 0.4078 data_time: 0.0015 loss: 3.8760 03/09 20:32:59 - mmengine - INFO - Epoch(train) [5][ 800/1252] lr: 6.0591e-02 eta: 3 days, 23:07:54 time: 0.4225 data_time: 0.0015 loss: 3.9733 03/09 20:33:36 - mmengine - INFO - Epoch(train) [5][ 900/1252] lr: 6.0591e-02 eta: 3 days, 22:49:17 time: 0.3367 data_time: 0.0018 loss: 3.9263 03/09 20:34:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:34:12 - mmengine - INFO - Epoch(train) [5][1000/1252] lr: 6.0591e-02 eta: 3 days, 22:27:42 time: 0.2873 data_time: 0.0017 loss: 3.8630 03/09 20:34:50 - mmengine - INFO - Epoch(train) [5][1100/1252] lr: 6.0591e-02 eta: 3 days, 22:12:21 time: 0.3601 data_time: 0.0016 loss: 3.7808 03/09 20:35:27 - mmengine - INFO - Epoch(train) [5][1200/1252] lr: 6.0591e-02 eta: 3 days, 21:54:42 time: 0.3884 data_time: 0.0015 loss: 3.8995 03/09 20:35:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:35:45 - mmengine - INFO - Saving checkpoint at 5 epochs 03/09 20:36:11 - mmengine - INFO - Epoch(val) [5][49/49] accuracy/top1: 15.8760 accuracy/top5: 34.2800 03/09 20:36:50 - mmengine - INFO - Epoch(train) [6][ 100/1252] lr: 6.0591e-02 eta: 3 days, 21:30:33 time: 0.4374 data_time: 0.0023 loss: 3.9324 03/09 20:37:26 - mmengine - INFO - Epoch(train) [6][ 200/1252] lr: 6.0591e-02 eta: 3 days, 21:12:25 time: 0.2978 data_time: 0.0022 loss: 3.8301 03/09 20:38:04 - mmengine - INFO - Epoch(train) [6][ 300/1252] lr: 6.0591e-02 eta: 3 days, 20:57:29 time: 0.3840 data_time: 0.0019 loss: 3.9445 03/09 20:38:41 - mmengine - INFO - Epoch(train) [6][ 400/1252] lr: 6.0591e-02 eta: 3 days, 20:40:57 time: 0.3944 data_time: 0.0017 loss: 3.8084 03/09 20:39:18 - mmengine - INFO - Epoch(train) [6][ 500/1252] lr: 6.0591e-02 eta: 3 days, 20:27:35 time: 0.3942 data_time: 0.0016 loss: 3.8545 03/09 20:39:54 - mmengine - INFO - Epoch(train) [6][ 600/1252] lr: 6.0591e-02 eta: 3 days, 20:10:12 time: 0.2905 data_time: 0.0017 loss: 3.7925 03/09 20:40:31 - mmengine - INFO - Epoch(train) [6][ 700/1252] lr: 6.0591e-02 eta: 3 days, 19:56:16 time: 0.3726 data_time: 0.0017 loss: 3.8058 03/09 20:40:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:41:08 - mmengine - INFO - Epoch(train) [6][ 800/1252] lr: 6.0591e-02 eta: 3 days, 19:41:59 time: 0.3245 data_time: 0.0020 loss: 3.8867 03/09 20:41:45 - mmengine - INFO - Epoch(train) [6][ 900/1252] lr: 6.0591e-02 eta: 3 days, 19:28:48 time: 0.3471 data_time: 0.0021 loss: 3.8373 03/09 20:42:23 - mmengine - INFO - Epoch(train) [6][1000/1252] lr: 6.0591e-02 eta: 3 days, 19:16:02 time: 0.3713 data_time: 0.0020 loss: 3.8605 03/09 20:42:59 - mmengine - INFO - Epoch(train) [6][1100/1252] lr: 6.0591e-02 eta: 3 days, 19:03:00 time: 0.2849 data_time: 0.0019 loss: 3.8021 03/09 20:43:38 - mmengine - INFO - Epoch(train) [6][1200/1252] lr: 6.0591e-02 eta: 3 days, 18:52:36 time: 0.4818 data_time: 0.0016 loss: 3.7606 03/09 20:43:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:43:55 - mmengine - INFO - Saving checkpoint at 6 epochs 03/09 20:44:19 - mmengine - INFO - Epoch(val) [6][49/49] accuracy/top1: 17.8540 accuracy/top5: 37.9340 03/09 20:44:59 - mmengine - INFO - Epoch(train) [7][ 100/1252] lr: 5.8955e-02 eta: 3 days, 18:35:55 time: 0.4690 data_time: 0.0017 loss: 3.7464 03/09 20:45:36 - mmengine - INFO - Epoch(train) [7][ 200/1252] lr: 5.8955e-02 eta: 3 days, 18:24:11 time: 0.4725 data_time: 0.0021 loss: 3.8382 03/09 20:46:12 - mmengine - INFO - Epoch(train) [7][ 300/1252] lr: 5.8955e-02 eta: 3 days, 18:10:18 time: 0.3327 data_time: 0.0017 loss: 3.7365 03/09 20:46:49 - mmengine - INFO - Epoch(train) [7][ 400/1252] lr: 5.8955e-02 eta: 3 days, 18:00:05 time: 0.4014 data_time: 0.0017 loss: 3.7099 03/09 20:47:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:47:25 - mmengine - INFO - Epoch(train) [7][ 500/1252] lr: 5.8955e-02 eta: 3 days, 17:47:40 time: 0.3210 data_time: 0.0018 loss: 3.6395 03/09 20:48:03 - mmengine - INFO - Epoch(train) [7][ 600/1252] lr: 5.8955e-02 eta: 3 days, 17:37:27 time: 0.3591 data_time: 0.0017 loss: 3.6499 03/09 20:48:40 - mmengine - INFO - Epoch(train) [7][ 700/1252] lr: 5.8955e-02 eta: 3 days, 17:26:51 time: 0.3690 data_time: 0.0015 loss: 3.6250 03/09 20:49:18 - mmengine - INFO - Epoch(train) [7][ 800/1252] lr: 5.8955e-02 eta: 3 days, 17:18:10 time: 0.3573 data_time: 0.0015 loss: 3.6259 03/09 20:49:55 - mmengine - INFO - Epoch(train) [7][ 900/1252] lr: 5.8955e-02 eta: 3 days, 17:08:05 time: 0.3693 data_time: 0.0018 loss: 3.5197 03/09 20:50:32 - mmengine - INFO - Epoch(train) [7][1000/1252] lr: 5.8955e-02 eta: 3 days, 16:58:36 time: 0.3745 data_time: 0.0018 loss: 3.5374 03/09 20:51:08 - mmengine - INFO - Epoch(train) [7][1100/1252] lr: 5.8955e-02 eta: 3 days, 16:48:05 time: 0.3381 data_time: 0.0017 loss: 3.7239 03/09 20:51:45 - mmengine - INFO - Epoch(train) [7][1200/1252] lr: 5.8955e-02 eta: 3 days, 16:38:06 time: 0.3923 data_time: 0.0017 loss: 3.5769 03/09 20:52:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:52:03 - mmengine - INFO - Saving checkpoint at 7 epochs 03/09 20:52:28 - mmengine - INFO - Epoch(val) [7][49/49] accuracy/top1: 21.7300 accuracy/top5: 43.8680 03/09 20:53:06 - mmengine - INFO - Epoch(train) [8][ 100/1252] lr: 5.8955e-02 eta: 3 days, 16:24:22 time: 0.3288 data_time: 0.0022 loss: 3.6508 03/09 20:53:44 - mmengine - INFO - Epoch(train) [8][ 200/1252] lr: 5.8955e-02 eta: 3 days, 16:16:17 time: 0.3645 data_time: 0.0025 loss: 3.6136 03/09 20:53:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 20:54:21 - mmengine - INFO - Epoch(train) [8][ 300/1252] lr: 5.8955e-02 eta: 3 days, 16:07:42 time: 0.4200 data_time: 0.0020 loss: 3.6300 03/09 20:54:57 - mmengine - INFO - Epoch(train) [8][ 400/1252] lr: 5.8955e-02 eta: 3 days, 15:57:39 time: 0.4073 data_time: 0.0017 loss: 3.6789 03/09 20:55:34 - mmengine - INFO - Epoch(train) [8][ 500/1252] lr: 5.8955e-02 eta: 3 days, 15:49:22 time: 0.3869 data_time: 0.0017 loss: 3.5448 03/09 20:56:11 - mmengine - INFO - Epoch(train) [8][ 600/1252] lr: 5.8955e-02 eta: 3 days, 15:41:15 time: 0.3569 data_time: 0.0016 loss: 3.6374 03/09 20:56:48 - mmengine - INFO - Epoch(train) [8][ 700/1252] lr: 5.8955e-02 eta: 3 days, 15:33:35 time: 0.3783 data_time: 0.0015 loss: 3.7408 03/09 20:57:24 - mmengine - INFO - Epoch(train) [8][ 800/1252] lr: 5.8955e-02 eta: 3 days, 15:24:27 time: 0.3569 data_time: 0.0022 loss: 3.6429 03/09 20:58:02 - mmengine - INFO - Epoch(train) [8][ 900/1252] lr: 5.8955e-02 eta: 3 days, 15:17:35 time: 0.3928 data_time: 0.0016 loss: 3.5964 03/09 20:58:37 - mmengine - INFO - Epoch(train) [8][1000/1252] lr: 5.8955e-02 eta: 3 days, 15:08:12 time: 0.3491 data_time: 0.0017 loss: 3.5930 03/09 20:59:15 - mmengine - INFO - Epoch(train) [8][1100/1252] lr: 5.8955e-02 eta: 3 days, 15:02:05 time: 0.3803 data_time: 0.0016 loss: 3.6226 03/09 20:59:52 - mmengine - INFO - Epoch(train) [8][1200/1252] lr: 5.8955e-02 eta: 3 days, 14:54:00 time: 0.3731 data_time: 0.0016 loss: 3.5876 03/09 21:00:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:00:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:00:11 - mmengine - INFO - Saving checkpoint at 8 epochs 03/09 21:00:34 - mmengine - INFO - Epoch(val) [8][49/49] accuracy/top1: 32.3700 accuracy/top5: 57.7320 03/09 21:01:13 - mmengine - INFO - Epoch(train) [9][ 100/1252] lr: 5.7363e-02 eta: 3 days, 14:45:32 time: 0.2790 data_time: 0.0020 loss: 3.6175 03/09 21:01:51 - mmengine - INFO - Epoch(train) [9][ 200/1252] lr: 5.7363e-02 eta: 3 days, 14:38:52 time: 0.4440 data_time: 0.0016 loss: 3.5269 03/09 21:02:27 - mmengine - INFO - Epoch(train) [9][ 300/1252] lr: 5.7363e-02 eta: 3 days, 14:31:26 time: 0.3473 data_time: 0.0017 loss: 3.5378 03/09 21:03:05 - mmengine - INFO - Epoch(train) [9][ 400/1252] lr: 5.7363e-02 eta: 3 days, 14:25:37 time: 0.3994 data_time: 0.0018 loss: 3.5811 03/09 21:03:43 - mmengine - INFO - Epoch(train) [9][ 500/1252] lr: 5.7363e-02 eta: 3 days, 14:20:00 time: 0.3947 data_time: 0.0015 loss: 3.5587 03/09 21:04:19 - mmengine - INFO - Epoch(train) [9][ 600/1252] lr: 5.7363e-02 eta: 3 days, 14:12:49 time: 0.3409 data_time: 0.0017 loss: 3.4775 03/09 21:04:56 - mmengine - INFO - Epoch(train) [9][ 700/1252] lr: 5.7363e-02 eta: 3 days, 14:06:17 time: 0.3737 data_time: 0.0016 loss: 3.5603 03/09 21:05:33 - mmengine - INFO - Epoch(train) [9][ 800/1252] lr: 5.7363e-02 eta: 3 days, 13:59:39 time: 0.3875 data_time: 0.0017 loss: 3.6371 03/09 21:06:10 - mmengine - INFO - Epoch(train) [9][ 900/1252] lr: 5.7363e-02 eta: 3 days, 13:53:28 time: 0.3837 data_time: 0.0015 loss: 3.6204 03/09 21:06:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:06:47 - mmengine - INFO - Epoch(train) [9][1000/1252] lr: 5.7363e-02 eta: 3 days, 13:48:06 time: 0.4186 data_time: 0.0018 loss: 3.5204 03/09 21:07:24 - mmengine - INFO - Epoch(train) [9][1100/1252] lr: 5.7363e-02 eta: 3 days, 13:42:15 time: 0.3650 data_time: 0.0018 loss: 3.5265 03/09 21:08:02 - mmengine - INFO - Epoch(train) [9][1200/1252] lr: 5.7363e-02 eta: 3 days, 13:36:43 time: 0.4281 data_time: 0.0031 loss: 3.5752 03/09 21:08:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:08:19 - mmengine - INFO - Saving checkpoint at 9 epochs 03/09 21:08:46 - mmengine - INFO - Epoch(val) [9][49/49] accuracy/top1: 23.9240 accuracy/top5: 46.3440 03/09 21:09:25 - mmengine - INFO - Epoch(train) [10][ 100/1252] lr: 5.7363e-02 eta: 3 days, 13:28:32 time: 0.3229 data_time: 0.0020 loss: 3.6435 03/09 21:10:03 - mmengine - INFO - Epoch(train) [10][ 200/1252] lr: 5.7363e-02 eta: 3 days, 13:23:42 time: 0.3763 data_time: 0.0017 loss: 3.3600 03/09 21:10:39 - mmengine - INFO - Epoch(train) [10][ 300/1252] lr: 5.7363e-02 eta: 3 days, 13:17:32 time: 0.3654 data_time: 0.0016 loss: 3.4970 03/09 21:11:17 - mmengine - INFO - Epoch(train) [10][ 400/1252] lr: 5.7363e-02 eta: 3 days, 13:12:26 time: 0.3624 data_time: 0.0016 loss: 3.4758 03/09 21:11:54 - mmengine - INFO - Epoch(train) [10][ 500/1252] lr: 5.7363e-02 eta: 3 days, 13:07:07 time: 0.4501 data_time: 0.0017 loss: 3.4620 03/09 21:12:31 - mmengine - INFO - Epoch(train) [10][ 600/1252] lr: 5.7363e-02 eta: 3 days, 13:02:14 time: 0.4298 data_time: 0.0018 loss: 3.4128 03/09 21:13:08 - mmengine - INFO - Epoch(train) [10][ 700/1252] lr: 5.7363e-02 eta: 3 days, 12:56:42 time: 0.3449 data_time: 0.0015 loss: 3.5589 03/09 21:13:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:13:45 - mmengine - INFO - Epoch(train) [10][ 800/1252] lr: 5.7363e-02 eta: 3 days, 12:51:31 time: 0.3848 data_time: 0.0016 loss: 3.4548 03/09 21:14:22 - mmengine - INFO - Epoch(train) [10][ 900/1252] lr: 5.7363e-02 eta: 3 days, 12:46:22 time: 0.3777 data_time: 0.0017 loss: 3.5422 03/09 21:15:00 - mmengine - INFO - Epoch(train) [10][1000/1252] lr: 5.7363e-02 eta: 3 days, 12:42:20 time: 0.3884 data_time: 0.0017 loss: 3.5058 03/09 21:15:36 - mmengine - INFO - Epoch(train) [10][1100/1252] lr: 5.7363e-02 eta: 3 days, 12:36:38 time: 0.3993 data_time: 0.0018 loss: 3.5262 03/09 21:16:13 - mmengine - INFO - Epoch(train) [10][1200/1252] lr: 5.7363e-02 eta: 3 days, 12:31:51 time: 0.3628 data_time: 0.0016 loss: 3.6862 03/09 21:16:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:16:32 - mmengine - INFO - Saving checkpoint at 10 epochs 03/09 21:16:57 - mmengine - INFO - Epoch(val) [10][49/49] accuracy/top1: 28.7000 accuracy/top5: 52.8120 03/09 21:17:35 - mmengine - INFO - Epoch(train) [11][ 100/1252] lr: 5.5814e-02 eta: 3 days, 12:25:05 time: 0.3818 data_time: 0.0017 loss: 3.3731 03/09 21:18:13 - mmengine - INFO - Epoch(train) [11][ 200/1252] lr: 5.5814e-02 eta: 3 days, 12:20:37 time: 0.3672 data_time: 0.0015 loss: 3.3489 03/09 21:18:49 - mmengine - INFO - Epoch(train) [11][ 300/1252] lr: 5.5814e-02 eta: 3 days, 12:15:37 time: 0.3296 data_time: 0.0016 loss: 3.4108 03/09 21:19:27 - mmengine - INFO - Epoch(train) [11][ 400/1252] lr: 5.5814e-02 eta: 3 days, 12:11:40 time: 0.4061 data_time: 0.0018 loss: 3.3638 03/09 21:19:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:20:04 - mmengine - INFO - Epoch(train) [11][ 500/1252] lr: 5.5814e-02 eta: 3 days, 12:07:12 time: 0.3412 data_time: 0.0017 loss: 3.3428 03/09 21:20:41 - mmengine - INFO - Epoch(train) [11][ 600/1252] lr: 5.5814e-02 eta: 3 days, 12:02:29 time: 0.3203 data_time: 0.0015 loss: 3.4615 03/09 21:21:18 - mmengine - INFO - Epoch(train) [11][ 700/1252] lr: 5.5814e-02 eta: 3 days, 11:57:54 time: 0.3923 data_time: 0.0016 loss: 3.5389 03/09 21:21:55 - mmengine - INFO - Epoch(train) [11][ 800/1252] lr: 5.5814e-02 eta: 3 days, 11:53:29 time: 0.3658 data_time: 0.0019 loss: 3.4932 03/09 21:22:31 - mmengine - INFO - Epoch(train) [11][ 900/1252] lr: 5.5814e-02 eta: 3 days, 11:48:26 time: 0.3925 data_time: 0.0017 loss: 3.4852 03/09 21:23:08 - mmengine - INFO - Epoch(train) [11][1000/1252] lr: 5.5814e-02 eta: 3 days, 11:44:13 time: 0.3372 data_time: 0.0016 loss: 3.4062 03/09 21:23:45 - mmengine - INFO - Epoch(train) [11][1100/1252] lr: 5.5814e-02 eta: 3 days, 11:40:31 time: 0.3303 data_time: 0.0021 loss: 3.5015 03/09 21:24:23 - mmengine - INFO - Epoch(train) [11][1200/1252] lr: 5.5814e-02 eta: 3 days, 11:37:03 time: 0.3981 data_time: 0.0015 loss: 3.6372 03/09 21:24:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:24:41 - mmengine - INFO - Saving checkpoint at 11 epochs 03/09 21:25:06 - mmengine - INFO - Epoch(val) [11][49/49] accuracy/top1: 26.1220 accuracy/top5: 49.2380 03/09 21:25:45 - mmengine - INFO - Epoch(train) [12][ 100/1252] lr: 5.5814e-02 eta: 3 days, 11:31:19 time: 0.3487 data_time: 0.0019 loss: 3.3969 03/09 21:26:22 - mmengine - INFO - Epoch(train) [12][ 200/1252] lr: 5.5814e-02 eta: 3 days, 11:26:49 time: 0.3961 data_time: 0.0016 loss: 3.3822 03/09 21:26:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:26:58 - mmengine - INFO - Epoch(train) [12][ 300/1252] lr: 5.5814e-02 eta: 3 days, 11:22:31 time: 0.4002 data_time: 0.0017 loss: 3.5566 03/09 21:27:35 - mmengine - INFO - Epoch(train) [12][ 400/1252] lr: 5.5814e-02 eta: 3 days, 11:18:13 time: 0.2916 data_time: 0.0022 loss: 3.4445 03/09 21:28:12 - mmengine - INFO - Epoch(train) [12][ 500/1252] lr: 5.5814e-02 eta: 3 days, 11:14:06 time: 0.3555 data_time: 0.0017 loss: 3.4069 03/09 21:28:48 - mmengine - INFO - Epoch(train) [12][ 600/1252] lr: 5.5814e-02 eta: 3 days, 11:09:57 time: 0.3963 data_time: 0.0017 loss: 3.3393 03/09 21:29:25 - mmengine - INFO - Epoch(train) [12][ 700/1252] lr: 5.5814e-02 eta: 3 days, 11:05:52 time: 0.3468 data_time: 0.0019 loss: 3.4019 03/09 21:30:02 - mmengine - INFO - Epoch(train) [12][ 800/1252] lr: 5.5814e-02 eta: 3 days, 11:02:18 time: 0.3615 data_time: 0.0016 loss: 3.3925 03/09 21:30:39 - mmengine - INFO - Epoch(train) [12][ 900/1252] lr: 5.5814e-02 eta: 3 days, 10:58:24 time: 0.3629 data_time: 0.0019 loss: 3.4818 03/09 21:31:16 - mmengine - INFO - Epoch(train) [12][1000/1252] lr: 5.5814e-02 eta: 3 days, 10:54:57 time: 0.3934 data_time: 0.0017 loss: 3.4821 03/09 21:31:52 - mmengine - INFO - Epoch(train) [12][1100/1252] lr: 5.5814e-02 eta: 3 days, 10:50:44 time: 0.2976 data_time: 0.0018 loss: 3.4813 03/09 21:32:29 - mmengine - INFO - Epoch(train) [12][1200/1252] lr: 5.5814e-02 eta: 3 days, 10:47:16 time: 0.3608 data_time: 0.0019 loss: 3.4214 03/09 21:32:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:32:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:32:48 - mmengine - INFO - Saving checkpoint at 12 epochs 03/09 21:33:13 - mmengine - INFO - Epoch(val) [12][49/49] accuracy/top1: 30.5260 accuracy/top5: 55.2320 03/09 21:33:52 - mmengine - INFO - Epoch(train) [13][ 100/1252] lr: 5.4307e-02 eta: 3 days, 10:42:41 time: 0.2900 data_time: 0.0018 loss: 3.4820 03/09 21:34:28 - mmengine - INFO - Epoch(train) [13][ 200/1252] lr: 5.4307e-02 eta: 3 days, 10:38:50 time: 0.3477 data_time: 0.0018 loss: 3.2927 03/09 21:35:05 - mmengine - INFO - Epoch(train) [13][ 300/1252] lr: 5.4307e-02 eta: 3 days, 10:34:58 time: 0.3335 data_time: 0.0016 loss: 3.4077 03/09 21:35:43 - mmengine - INFO - Epoch(train) [13][ 400/1252] lr: 5.4307e-02 eta: 3 days, 10:32:39 time: 0.4428 data_time: 0.0016 loss: 3.3570 03/09 21:36:18 - mmengine - INFO - Epoch(train) [13][ 500/1252] lr: 5.4307e-02 eta: 3 days, 10:27:55 time: 0.3333 data_time: 0.0022 loss: 3.3495 03/09 21:36:57 - mmengine - INFO - Epoch(train) [13][ 600/1252] lr: 5.4307e-02 eta: 3 days, 10:25:48 time: 0.4025 data_time: 0.0017 loss: 3.3691 03/09 21:37:33 - mmengine - INFO - Epoch(train) [13][ 700/1252] lr: 5.4307e-02 eta: 3 days, 10:21:43 time: 0.3464 data_time: 0.0017 loss: 3.2624 03/09 21:38:10 - mmengine - INFO - Epoch(train) [13][ 800/1252] lr: 5.4307e-02 eta: 3 days, 10:19:02 time: 0.3643 data_time: 0.0017 loss: 3.4655 03/09 21:38:48 - mmengine - INFO - Epoch(train) [13][ 900/1252] lr: 5.4307e-02 eta: 3 days, 10:15:52 time: 0.3688 data_time: 0.0023 loss: 3.3834 03/09 21:39:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:39:24 - mmengine - INFO - Epoch(train) [13][1000/1252] lr: 5.4307e-02 eta: 3 days, 10:12:04 time: 0.3959 data_time: 0.0023 loss: 3.3388 03/09 21:40:01 - mmengine - INFO - Epoch(train) [13][1100/1252] lr: 5.4307e-02 eta: 3 days, 10:09:02 time: 0.3703 data_time: 0.0021 loss: 3.3834 03/09 21:40:38 - mmengine - INFO - Epoch(train) [13][1200/1252] lr: 5.4307e-02 eta: 3 days, 10:05:54 time: 0.4029 data_time: 0.0015 loss: 3.4043 03/09 21:40:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:40:56 - mmengine - INFO - Saving checkpoint at 13 epochs 03/09 21:41:20 - mmengine - INFO - Epoch(val) [13][49/49] accuracy/top1: 25.3240 accuracy/top5: 48.7420 03/09 21:42:00 - mmengine - INFO - Epoch(train) [14][ 100/1252] lr: 5.4307e-02 eta: 3 days, 10:02:06 time: 0.4224 data_time: 0.0024 loss: 3.2891 03/09 21:42:37 - mmengine - INFO - Epoch(train) [14][ 200/1252] lr: 5.4307e-02 eta: 3 days, 9:59:37 time: 0.4509 data_time: 0.0018 loss: 3.4011 03/09 21:43:13 - mmengine - INFO - Epoch(train) [14][ 300/1252] lr: 5.4307e-02 eta: 3 days, 9:55:22 time: 0.3367 data_time: 0.0022 loss: 3.2181 03/09 21:43:50 - mmengine - INFO - Epoch(train) [14][ 400/1252] lr: 5.4307e-02 eta: 3 days, 9:52:37 time: 0.4368 data_time: 0.0015 loss: 3.3333 03/09 21:44:27 - mmengine - INFO - Epoch(train) [14][ 500/1252] lr: 5.4307e-02 eta: 3 days, 9:49:32 time: 0.3941 data_time: 0.0018 loss: 3.3872 03/09 21:45:04 - mmengine - INFO - Epoch(train) [14][ 600/1252] lr: 5.4307e-02 eta: 3 days, 9:46:48 time: 0.4255 data_time: 0.0017 loss: 3.4067 03/09 21:45:40 - mmengine - INFO - Epoch(train) [14][ 700/1252] lr: 5.4307e-02 eta: 3 days, 9:43:12 time: 0.3544 data_time: 0.0017 loss: 3.4856 03/09 21:45:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:46:18 - mmengine - INFO - Epoch(train) [14][ 800/1252] lr: 5.4307e-02 eta: 3 days, 9:40:38 time: 0.3998 data_time: 0.0018 loss: 3.3026 03/09 21:46:54 - mmengine - INFO - Epoch(train) [14][ 900/1252] lr: 5.4307e-02 eta: 3 days, 9:37:25 time: 0.3248 data_time: 0.0020 loss: 3.4777 03/09 21:47:30 - mmengine - INFO - Epoch(train) [14][1000/1252] lr: 5.4307e-02 eta: 3 days, 9:33:59 time: 0.3394 data_time: 0.0017 loss: 3.1896 03/09 21:48:08 - mmengine - INFO - Epoch(train) [14][1100/1252] lr: 5.4307e-02 eta: 3 days, 9:31:35 time: 0.3521 data_time: 0.0017 loss: 3.3398 03/09 21:48:45 - mmengine - INFO - Epoch(train) [14][1200/1252] lr: 5.4307e-02 eta: 3 days, 9:28:47 time: 0.4108 data_time: 0.0026 loss: 3.2193 03/09 21:49:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:49:03 - mmengine - INFO - Saving checkpoint at 14 epochs 03/09 21:49:29 - mmengine - INFO - Epoch(val) [14][49/49] accuracy/top1: 30.2040 accuracy/top5: 54.6800 03/09 21:50:09 - mmengine - INFO - Epoch(train) [15][ 100/1252] lr: 5.2841e-02 eta: 3 days, 9:25:38 time: 0.4636 data_time: 0.0020 loss: 3.2609 03/09 21:50:46 - mmengine - INFO - Epoch(train) [15][ 200/1252] lr: 5.2841e-02 eta: 3 days, 9:23:19 time: 0.3998 data_time: 0.0018 loss: 3.3718 03/09 21:51:22 - mmengine - INFO - Epoch(train) [15][ 300/1252] lr: 5.2841e-02 eta: 3 days, 9:20:02 time: 0.4054 data_time: 0.0015 loss: 3.3715 03/09 21:51:58 - mmengine - INFO - Epoch(train) [15][ 400/1252] lr: 5.2841e-02 eta: 3 days, 9:16:31 time: 0.2504 data_time: 0.0023 loss: 3.2243 03/09 21:52:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:52:37 - mmengine - INFO - Epoch(train) [15][ 500/1252] lr: 5.2841e-02 eta: 3 days, 9:15:08 time: 0.3752 data_time: 0.0018 loss: 3.2669 03/09 21:53:14 - mmengine - INFO - Epoch(train) [15][ 600/1252] lr: 5.2841e-02 eta: 3 days, 9:12:22 time: 0.4412 data_time: 0.0017 loss: 3.2585 03/09 21:53:51 - mmengine - INFO - Epoch(train) [15][ 700/1252] lr: 5.2841e-02 eta: 3 days, 9:09:53 time: 0.3862 data_time: 0.0021 loss: 3.4177 03/09 21:54:27 - mmengine - INFO - Epoch(train) [15][ 800/1252] lr: 5.2841e-02 eta: 3 days, 9:06:33 time: 0.3734 data_time: 0.0018 loss: 3.3881 03/09 21:55:04 - mmengine - INFO - Epoch(train) [15][ 900/1252] lr: 5.2841e-02 eta: 3 days, 9:04:20 time: 0.4059 data_time: 0.0017 loss: 3.3227 03/09 21:55:40 - mmengine - INFO - Epoch(train) [15][1000/1252] lr: 5.2841e-02 eta: 3 days, 9:00:54 time: 0.3350 data_time: 0.0017 loss: 3.3735 03/09 21:56:17 - mmengine - INFO - Epoch(train) [15][1100/1252] lr: 5.2841e-02 eta: 3 days, 8:58:39 time: 0.3534 data_time: 0.0016 loss: 3.3220 03/09 21:56:54 - mmengine - INFO - Epoch(train) [15][1200/1252] lr: 5.2841e-02 eta: 3 days, 8:56:04 time: 0.3382 data_time: 0.0026 loss: 3.2226 03/09 21:57:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:57:13 - mmengine - INFO - Saving checkpoint at 15 epochs 03/09 21:57:40 - mmengine - INFO - Epoch(val) [15][49/49] accuracy/top1: 31.4100 accuracy/top5: 56.2140 03/09 21:58:19 - mmengine - INFO - Epoch(train) [16][ 100/1252] lr: 5.2841e-02 eta: 3 days, 8:53:26 time: 0.3990 data_time: 0.0016 loss: 3.2230 03/09 21:58:56 - mmengine - INFO - Epoch(train) [16][ 200/1252] lr: 5.2841e-02 eta: 3 days, 8:51:00 time: 0.4147 data_time: 0.0017 loss: 3.2808 03/09 21:59:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 21:59:33 - mmengine - INFO - Epoch(train) [16][ 300/1252] lr: 5.2841e-02 eta: 3 days, 8:48:07 time: 0.3625 data_time: 0.0024 loss: 3.2685 03/09 22:00:10 - mmengine - INFO - Epoch(train) [16][ 400/1252] lr: 5.2841e-02 eta: 3 days, 8:45:56 time: 0.3024 data_time: 0.0017 loss: 3.2663 03/09 22:00:46 - mmengine - INFO - Epoch(train) [16][ 500/1252] lr: 5.2841e-02 eta: 3 days, 8:43:11 time: 0.3747 data_time: 0.0020 loss: 3.1852 03/09 22:01:24 - mmengine - INFO - Epoch(train) [16][ 600/1252] lr: 5.2841e-02 eta: 3 days, 8:40:57 time: 0.3781 data_time: 0.0017 loss: 3.2818 03/09 22:02:01 - mmengine - INFO - Epoch(train) [16][ 700/1252] lr: 5.2841e-02 eta: 3 days, 8:39:03 time: 0.4069 data_time: 0.0019 loss: 3.2481 03/09 22:02:38 - mmengine - INFO - Epoch(train) [16][ 800/1252] lr: 5.2841e-02 eta: 3 days, 8:36:21 time: 0.3165 data_time: 0.0017 loss: 3.3582 03/09 22:03:16 - mmengine - INFO - Epoch(train) [16][ 900/1252] lr: 5.2841e-02 eta: 3 days, 8:34:34 time: 0.3881 data_time: 0.0015 loss: 3.2450 03/09 22:03:51 - mmengine - INFO - Epoch(train) [16][1000/1252] lr: 5.2841e-02 eta: 3 days, 8:31:06 time: 0.2849 data_time: 0.0018 loss: 3.2538 03/09 22:04:29 - mmengine - INFO - Epoch(train) [16][1100/1252] lr: 5.2841e-02 eta: 3 days, 8:29:29 time: 0.3679 data_time: 0.0017 loss: 3.2669 03/09 22:05:06 - mmengine - INFO - Epoch(train) [16][1200/1252] lr: 5.2841e-02 eta: 3 days, 8:27:38 time: 0.3880 data_time: 0.0014 loss: 3.2645 03/09 22:05:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:05:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:05:25 - mmengine - INFO - Saving checkpoint at 16 epochs 03/09 22:05:49 - mmengine - INFO - Epoch(val) [16][49/49] accuracy/top1: 34.5920 accuracy/top5: 60.5160 03/09 22:06:28 - mmengine - INFO - Epoch(train) [17][ 100/1252] lr: 5.1414e-02 eta: 3 days, 8:24:43 time: 0.3835 data_time: 0.0018 loss: 3.3049 03/09 22:07:06 - mmengine - INFO - Epoch(train) [17][ 200/1252] lr: 5.1414e-02 eta: 3 days, 8:22:53 time: 0.3715 data_time: 0.0019 loss: 3.2832 03/09 22:07:43 - mmengine - INFO - Epoch(train) [17][ 300/1252] lr: 5.1414e-02 eta: 3 days, 8:20:33 time: 0.3824 data_time: 0.0017 loss: 3.2925 03/09 22:08:20 - mmengine - INFO - Epoch(train) [17][ 400/1252] lr: 5.1414e-02 eta: 3 days, 8:18:31 time: 0.3424 data_time: 0.0018 loss: 3.2259 03/09 22:08:57 - mmengine - INFO - Epoch(train) [17][ 500/1252] lr: 5.1414e-02 eta: 3 days, 8:16:15 time: 0.4286 data_time: 0.0017 loss: 3.3568 03/09 22:09:33 - mmengine - INFO - Epoch(train) [17][ 600/1252] lr: 5.1414e-02 eta: 3 days, 8:13:40 time: 0.2984 data_time: 0.0018 loss: 3.2666 03/09 22:10:11 - mmengine - INFO - Epoch(train) [17][ 700/1252] lr: 5.1414e-02 eta: 3 days, 8:11:44 time: 0.3730 data_time: 0.0017 loss: 3.1952 03/09 22:10:47 - mmengine - INFO - Epoch(train) [17][ 800/1252] lr: 5.1414e-02 eta: 3 days, 8:09:07 time: 0.3050 data_time: 0.0017 loss: 3.1688 03/09 22:11:24 - mmengine - INFO - Epoch(train) [17][ 900/1252] lr: 5.1414e-02 eta: 3 days, 8:07:20 time: 0.3854 data_time: 0.0020 loss: 3.3367 03/09 22:11:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:12:01 - mmengine - INFO - Epoch(train) [17][1000/1252] lr: 5.1414e-02 eta: 3 days, 8:05:12 time: 0.3711 data_time: 0.0021 loss: 3.3820 03/09 22:12:39 - mmengine - INFO - Epoch(train) [17][1100/1252] lr: 5.1414e-02 eta: 3 days, 8:03:26 time: 0.3689 data_time: 0.0016 loss: 3.2880 03/09 22:13:17 - mmengine - INFO - Epoch(train) [17][1200/1252] lr: 5.1414e-02 eta: 3 days, 8:01:43 time: 0.3982 data_time: 0.0015 loss: 3.2844 03/09 22:13:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:13:35 - mmengine - INFO - Saving checkpoint at 17 epochs 03/09 22:14:01 - mmengine - INFO - Epoch(val) [17][49/49] accuracy/top1: 33.4540 accuracy/top5: 58.8140 03/09 22:14:40 - mmengine - INFO - Epoch(train) [18][ 100/1252] lr: 5.1414e-02 eta: 3 days, 7:58:58 time: 0.3420 data_time: 0.0016 loss: 3.3713 03/09 22:15:17 - mmengine - INFO - Epoch(train) [18][ 200/1252] lr: 5.1414e-02 eta: 3 days, 7:56:52 time: 0.3908 data_time: 0.0016 loss: 3.3090 03/09 22:15:54 - mmengine - INFO - Epoch(train) [18][ 300/1252] lr: 5.1414e-02 eta: 3 days, 7:54:50 time: 0.3968 data_time: 0.0016 loss: 3.3478 03/09 22:16:30 - mmengine - INFO - Epoch(train) [18][ 400/1252] lr: 5.1414e-02 eta: 3 days, 7:52:16 time: 0.3396 data_time: 0.0017 loss: 3.4169 03/09 22:17:09 - mmengine - INFO - Epoch(train) [18][ 500/1252] lr: 5.1414e-02 eta: 3 days, 7:51:13 time: 0.4249 data_time: 0.0016 loss: 3.2775 03/09 22:17:46 - mmengine - INFO - Epoch(train) [18][ 600/1252] lr: 5.1414e-02 eta: 3 days, 7:49:12 time: 0.3752 data_time: 0.0017 loss: 3.2007 03/09 22:18:22 - mmengine - INFO - Epoch(train) [18][ 700/1252] lr: 5.1414e-02 eta: 3 days, 7:46:54 time: 0.4193 data_time: 0.0017 loss: 3.3750 03/09 22:18:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:18:59 - mmengine - INFO - Epoch(train) [18][ 800/1252] lr: 5.1414e-02 eta: 3 days, 7:44:51 time: 0.3623 data_time: 0.0015 loss: 3.3127 03/09 22:19:36 - mmengine - INFO - Epoch(train) [18][ 900/1252] lr: 5.1414e-02 eta: 3 days, 7:43:00 time: 0.4031 data_time: 0.0016 loss: 3.3005 03/09 22:20:14 - mmengine - INFO - Epoch(train) [18][1000/1252] lr: 5.1414e-02 eta: 3 days, 7:41:05 time: 0.3787 data_time: 0.0017 loss: 3.4370 03/09 22:20:51 - mmengine - INFO - Epoch(train) [18][1100/1252] lr: 5.1414e-02 eta: 3 days, 7:39:17 time: 0.4157 data_time: 0.0018 loss: 3.2954 03/09 22:21:27 - mmengine - INFO - Epoch(train) [18][1200/1252] lr: 5.1414e-02 eta: 3 days, 7:36:57 time: 0.3255 data_time: 0.0018 loss: 3.2699 03/09 22:21:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:21:46 - mmengine - INFO - Saving checkpoint at 18 epochs 03/09 22:22:12 - mmengine - INFO - Epoch(val) [18][49/49] accuracy/top1: 32.1300 accuracy/top5: 57.0260 03/09 22:22:51 - mmengine - INFO - Epoch(train) [19][ 100/1252] lr: 5.0026e-02 eta: 3 days, 7:35:07 time: 0.3800 data_time: 0.0017 loss: 3.1729 03/09 22:23:28 - mmengine - INFO - Epoch(train) [19][ 200/1252] lr: 5.0026e-02 eta: 3 days, 7:33:08 time: 0.4136 data_time: 0.0017 loss: 3.1974 03/09 22:24:05 - mmengine - INFO - Epoch(train) [19][ 300/1252] lr: 5.0026e-02 eta: 3 days, 7:31:01 time: 0.3395 data_time: 0.0023 loss: 3.1859 03/09 22:24:41 - mmengine - INFO - Epoch(train) [19][ 400/1252] lr: 5.0026e-02 eta: 3 days, 7:28:55 time: 0.3056 data_time: 0.0019 loss: 3.2345 03/09 22:25:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:25:19 - mmengine - INFO - Epoch(train) [19][ 500/1252] lr: 5.0026e-02 eta: 3 days, 7:27:25 time: 0.3963 data_time: 0.0016 loss: 3.2853 03/09 22:25:56 - mmengine - INFO - Epoch(train) [19][ 600/1252] lr: 5.0026e-02 eta: 3 days, 7:25:24 time: 0.3344 data_time: 0.0015 loss: 3.3651 03/09 22:26:32 - mmengine - INFO - Epoch(train) [19][ 700/1252] lr: 5.0026e-02 eta: 3 days, 7:23:02 time: 0.3663 data_time: 0.0016 loss: 3.1622 03/09 22:27:09 - mmengine - INFO - Epoch(train) [19][ 800/1252] lr: 5.0026e-02 eta: 3 days, 7:21:34 time: 0.4013 data_time: 0.0018 loss: 3.2119 03/09 22:27:47 - mmengine - INFO - Epoch(train) [19][ 900/1252] lr: 5.0026e-02 eta: 3 days, 7:19:53 time: 0.3963 data_time: 0.0015 loss: 3.2057 03/09 22:28:24 - mmengine - INFO - Epoch(train) [19][1000/1252] lr: 5.0026e-02 eta: 3 days, 7:18:04 time: 0.3555 data_time: 0.0019 loss: 3.1518 03/09 22:29:00 - mmengine - INFO - Epoch(train) [19][1100/1252] lr: 5.0026e-02 eta: 3 days, 7:16:01 time: 0.3607 data_time: 0.0017 loss: 3.1956 03/09 22:29:38 - mmengine - INFO - Epoch(train) [19][1200/1252] lr: 5.0026e-02 eta: 3 days, 7:14:36 time: 0.3269 data_time: 0.0018 loss: 3.0788 03/09 22:29:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:29:57 - mmengine - INFO - Saving checkpoint at 19 epochs 03/09 22:30:22 - mmengine - INFO - Epoch(val) [19][49/49] accuracy/top1: 32.6240 accuracy/top5: 57.2720 03/09 22:31:01 - mmengine - INFO - Epoch(train) [20][ 100/1252] lr: 5.0026e-02 eta: 3 days, 7:12:18 time: 0.3793 data_time: 0.0016 loss: 3.1434 03/09 22:31:39 - mmengine - INFO - Epoch(train) [20][ 200/1252] lr: 5.0026e-02 eta: 3 days, 7:10:45 time: 0.3216 data_time: 0.0018 loss: 3.3124 03/09 22:31:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:32:15 - mmengine - INFO - Epoch(train) [20][ 300/1252] lr: 5.0026e-02 eta: 3 days, 7:08:40 time: 0.3407 data_time: 0.0017 loss: 3.2142 03/09 22:32:53 - mmengine - INFO - Epoch(train) [20][ 400/1252] lr: 5.0026e-02 eta: 3 days, 7:07:26 time: 0.3349 data_time: 0.0018 loss: 3.2766 03/09 22:33:30 - mmengine - INFO - Epoch(train) [20][ 500/1252] lr: 5.0026e-02 eta: 3 days, 7:05:29 time: 0.3831 data_time: 0.0019 loss: 3.1895 03/09 22:34:07 - mmengine - INFO - Epoch(train) [20][ 600/1252] lr: 5.0026e-02 eta: 3 days, 7:03:48 time: 0.3451 data_time: 0.0015 loss: 3.2657 03/09 22:34:44 - mmengine - INFO - Epoch(train) [20][ 700/1252] lr: 5.0026e-02 eta: 3 days, 7:02:23 time: 0.3616 data_time: 0.0019 loss: 3.1916 03/09 22:35:20 - mmengine - INFO - Epoch(train) [20][ 800/1252] lr: 5.0026e-02 eta: 3 days, 7:00:17 time: 0.4023 data_time: 0.0017 loss: 3.1673 03/09 22:35:58 - mmengine - INFO - Epoch(train) [20][ 900/1252] lr: 5.0026e-02 eta: 3 days, 6:58:48 time: 0.4332 data_time: 0.0019 loss: 3.3451 03/09 22:36:34 - mmengine - INFO - Epoch(train) [20][1000/1252] lr: 5.0026e-02 eta: 3 days, 6:56:41 time: 0.3236 data_time: 0.0016 loss: 3.2497 03/09 22:37:11 - mmengine - INFO - Epoch(train) [20][1100/1252] lr: 5.0026e-02 eta: 3 days, 6:54:47 time: 0.3581 data_time: 0.0018 loss: 3.0709 03/09 22:37:49 - mmengine - INFO - Epoch(train) [20][1200/1252] lr: 5.0026e-02 eta: 3 days, 6:53:34 time: 0.4192 data_time: 0.0020 loss: 3.1394 03/09 22:37:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:38:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:38:06 - mmengine - INFO - Saving checkpoint at 20 epochs 03/09 22:38:32 - mmengine - INFO - Epoch(val) [20][49/49] accuracy/top1: 33.3760 accuracy/top5: 58.5760 03/09 22:39:11 - mmengine - INFO - Epoch(train) [21][ 100/1252] lr: 4.8675e-02 eta: 3 days, 6:51:19 time: 0.4542 data_time: 0.0019 loss: 3.1528 03/09 22:39:48 - mmengine - INFO - Epoch(train) [21][ 200/1252] lr: 4.8675e-02 eta: 3 days, 6:49:33 time: 0.4109 data_time: 0.0015 loss: 3.1987 03/09 22:40:25 - mmengine - INFO - Epoch(train) [21][ 300/1252] lr: 4.8675e-02 eta: 3 days, 6:47:52 time: 0.3551 data_time: 0.0016 loss: 3.2168 03/09 22:41:02 - mmengine - INFO - Epoch(train) [21][ 400/1252] lr: 4.8675e-02 eta: 3 days, 6:46:20 time: 0.4019 data_time: 0.0018 loss: 3.3064 03/09 22:41:39 - mmengine - INFO - Epoch(train) [21][ 500/1252] lr: 4.8675e-02 eta: 3 days, 6:44:45 time: 0.4159 data_time: 0.0016 loss: 3.2108 03/09 22:42:15 - mmengine - INFO - Epoch(train) [21][ 600/1252] lr: 4.8675e-02 eta: 3 days, 6:42:49 time: 0.3790 data_time: 0.0015 loss: 3.2844 03/09 22:42:52 - mmengine - INFO - Epoch(train) [21][ 700/1252] lr: 4.8675e-02 eta: 3 days, 6:41:11 time: 0.4259 data_time: 0.0016 loss: 3.1851 03/09 22:43:30 - mmengine - INFO - Epoch(train) [21][ 800/1252] lr: 4.8675e-02 eta: 3 days, 6:39:42 time: 0.3541 data_time: 0.0017 loss: 3.2454 03/09 22:44:06 - mmengine - INFO - Epoch(train) [21][ 900/1252] lr: 4.8675e-02 eta: 3 days, 6:38:04 time: 0.4196 data_time: 0.0018 loss: 3.1681 03/09 22:44:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:44:43 - mmengine - INFO - Epoch(train) [21][1000/1252] lr: 4.8675e-02 eta: 3 days, 6:36:23 time: 0.3841 data_time: 0.0021 loss: 3.2952 03/09 22:45:20 - mmengine - INFO - Epoch(train) [21][1100/1252] lr: 4.8675e-02 eta: 3 days, 6:34:47 time: 0.3719 data_time: 0.0020 loss: 3.1481 03/09 22:45:57 - mmengine - INFO - Epoch(train) [21][1200/1252] lr: 4.8675e-02 eta: 3 days, 6:33:01 time: 0.3424 data_time: 0.0016 loss: 3.0740 03/09 22:46:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:46:15 - mmengine - INFO - Saving checkpoint at 21 epochs 03/09 22:46:41 - mmengine - INFO - Epoch(val) [21][49/49] accuracy/top1: 30.0700 accuracy/top5: 55.3100 03/09 22:47:21 - mmengine - INFO - Epoch(train) [22][ 100/1252] lr: 4.8675e-02 eta: 3 days, 6:31:07 time: 0.3639 data_time: 0.0018 loss: 3.2372 03/09 22:47:57 - mmengine - INFO - Epoch(train) [22][ 200/1252] lr: 4.8675e-02 eta: 3 days, 6:29:10 time: 0.2981 data_time: 0.0022 loss: 3.2557 03/09 22:48:34 - mmengine - INFO - Epoch(train) [22][ 300/1252] lr: 4.8675e-02 eta: 3 days, 6:27:37 time: 0.3311 data_time: 0.0017 loss: 3.2186 03/09 22:49:10 - mmengine - INFO - Epoch(train) [22][ 400/1252] lr: 4.8675e-02 eta: 3 days, 6:25:56 time: 0.3016 data_time: 0.0020 loss: 3.2184 03/09 22:49:48 - mmengine - INFO - Epoch(train) [22][ 500/1252] lr: 4.8675e-02 eta: 3 days, 6:24:38 time: 0.3775 data_time: 0.0017 loss: 3.1443 03/09 22:50:24 - mmengine - INFO - Epoch(train) [22][ 600/1252] lr: 4.8675e-02 eta: 3 days, 6:22:40 time: 0.3864 data_time: 0.0016 loss: 3.1323 03/09 22:51:01 - mmengine - INFO - Epoch(train) [22][ 700/1252] lr: 4.8675e-02 eta: 3 days, 6:21:11 time: 0.4482 data_time: 0.0018 loss: 3.1095 03/09 22:51:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:51:38 - mmengine - INFO - Epoch(train) [22][ 800/1252] lr: 4.8675e-02 eta: 3 days, 6:19:29 time: 0.3909 data_time: 0.0016 loss: 3.2163 03/09 22:52:14 - mmengine - INFO - Epoch(train) [22][ 900/1252] lr: 4.8675e-02 eta: 3 days, 6:17:39 time: 0.3484 data_time: 0.0019 loss: 3.0374 03/09 22:52:52 - mmengine - INFO - Epoch(train) [22][1000/1252] lr: 4.8675e-02 eta: 3 days, 6:16:25 time: 0.3498 data_time: 0.0016 loss: 3.2297 03/09 22:53:27 - mmengine - INFO - Epoch(train) [22][1100/1252] lr: 4.8675e-02 eta: 3 days, 6:14:23 time: 0.3501 data_time: 0.0017 loss: 3.2216 03/09 22:54:04 - mmengine - INFO - Epoch(train) [22][1200/1252] lr: 4.8675e-02 eta: 3 days, 6:12:41 time: 0.3626 data_time: 0.0018 loss: 3.1853 03/09 22:54:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:54:22 - mmengine - INFO - Saving checkpoint at 22 epochs 03/09 22:54:46 - mmengine - INFO - Epoch(val) [22][49/49] accuracy/top1: 34.0400 accuracy/top5: 58.7080 03/09 22:55:25 - mmengine - INFO - Epoch(train) [23][ 100/1252] lr: 4.7361e-02 eta: 3 days, 6:10:53 time: 0.2921 data_time: 0.0018 loss: 3.2317 03/09 22:56:04 - mmengine - INFO - Epoch(train) [23][ 200/1252] lr: 4.7361e-02 eta: 3 days, 6:10:03 time: 0.4012 data_time: 0.0017 loss: 3.1251 03/09 22:56:40 - mmengine - INFO - Epoch(train) [23][ 300/1252] lr: 4.7361e-02 eta: 3 days, 6:08:33 time: 0.4365 data_time: 0.0016 loss: 3.0916 03/09 22:57:17 - mmengine - INFO - Epoch(train) [23][ 400/1252] lr: 4.7361e-02 eta: 3 days, 6:06:47 time: 0.4225 data_time: 0.0015 loss: 3.1371 03/09 22:57:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 22:57:53 - mmengine - INFO - Epoch(train) [23][ 500/1252] lr: 4.7361e-02 eta: 3 days, 6:05:02 time: 0.3956 data_time: 0.0017 loss: 3.1927 03/09 22:58:31 - mmengine - INFO - Epoch(train) [23][ 600/1252] lr: 4.7361e-02 eta: 3 days, 6:03:52 time: 0.3791 data_time: 0.0019 loss: 3.1478 03/09 22:59:09 - mmengine - INFO - Epoch(train) [23][ 700/1252] lr: 4.7361e-02 eta: 3 days, 6:02:45 time: 0.4106 data_time: 0.0016 loss: 3.1509 03/09 22:59:45 - mmengine - INFO - Epoch(train) [23][ 800/1252] lr: 4.7361e-02 eta: 3 days, 6:01:05 time: 0.3387 data_time: 0.0016 loss: 3.1416 03/09 23:00:22 - mmengine - INFO - Epoch(train) [23][ 900/1252] lr: 4.7361e-02 eta: 3 days, 5:59:33 time: 0.2880 data_time: 0.0018 loss: 3.1800 03/09 23:00:59 - mmengine - INFO - Epoch(train) [23][1000/1252] lr: 4.7361e-02 eta: 3 days, 5:58:07 time: 0.2997 data_time: 0.0018 loss: 3.0705 03/09 23:01:35 - mmengine - INFO - Epoch(train) [23][1100/1252] lr: 4.7361e-02 eta: 3 days, 5:56:31 time: 0.3732 data_time: 0.0018 loss: 3.0900 03/09 23:02:12 - mmengine - INFO - Epoch(train) [23][1200/1252] lr: 4.7361e-02 eta: 3 days, 5:55:05 time: 0.4229 data_time: 0.0019 loss: 3.0543 03/09 23:02:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:02:30 - mmengine - INFO - Saving checkpoint at 23 epochs 03/09 23:02:55 - mmengine - INFO - Epoch(val) [23][49/49] accuracy/top1: 33.9660 accuracy/top5: 58.6680 03/09 23:03:34 - mmengine - INFO - Epoch(train) [24][ 100/1252] lr: 4.7361e-02 eta: 3 days, 5:53:15 time: 0.4114 data_time: 0.0017 loss: 3.1556 03/09 23:04:12 - mmengine - INFO - Epoch(train) [24][ 200/1252] lr: 4.7361e-02 eta: 3 days, 5:52:10 time: 0.4253 data_time: 0.0018 loss: 3.1084 03/09 23:04:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:04:48 - mmengine - INFO - Epoch(train) [24][ 300/1252] lr: 4.7361e-02 eta: 3 days, 5:50:22 time: 0.4021 data_time: 0.0018 loss: 2.9887 03/09 23:05:25 - mmengine - INFO - Epoch(train) [24][ 400/1252] lr: 4.7361e-02 eta: 3 days, 5:48:48 time: 0.2941 data_time: 0.0020 loss: 3.2154 03/09 23:06:02 - mmengine - INFO - Epoch(train) [24][ 500/1252] lr: 4.7361e-02 eta: 3 days, 5:47:27 time: 0.4098 data_time: 0.0017 loss: 2.9331 03/09 23:06:39 - mmengine - INFO - Epoch(train) [24][ 600/1252] lr: 4.7361e-02 eta: 3 days, 5:46:00 time: 0.3309 data_time: 0.0018 loss: 3.1594 03/09 23:07:16 - mmengine - INFO - Epoch(train) [24][ 700/1252] lr: 4.7361e-02 eta: 3 days, 5:44:49 time: 0.3694 data_time: 0.0017 loss: 3.0495 03/09 23:07:53 - mmengine - INFO - Epoch(train) [24][ 800/1252] lr: 4.7361e-02 eta: 3 days, 5:43:11 time: 0.3243 data_time: 0.0018 loss: 3.1892 03/09 23:08:30 - mmengine - INFO - Epoch(train) [24][ 900/1252] lr: 4.7361e-02 eta: 3 days, 5:41:58 time: 0.3471 data_time: 0.0016 loss: 3.0585 03/09 23:09:06 - mmengine - INFO - Epoch(train) [24][1000/1252] lr: 4.7361e-02 eta: 3 days, 5:40:18 time: 0.3673 data_time: 0.0017 loss: 3.1067 03/09 23:09:43 - mmengine - INFO - Epoch(train) [24][1100/1252] lr: 4.7361e-02 eta: 3 days, 5:38:58 time: 0.3874 data_time: 0.0021 loss: 3.1094 03/09 23:10:21 - mmengine - INFO - Epoch(train) [24][1200/1252] lr: 4.7361e-02 eta: 3 days, 5:37:52 time: 0.4236 data_time: 0.0018 loss: 3.0426 03/09 23:10:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:10:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:10:39 - mmengine - INFO - Saving checkpoint at 24 epochs 03/09 23:11:04 - mmengine - INFO - Epoch(val) [24][49/49] accuracy/top1: 33.0420 accuracy/top5: 58.1280 03/09 23:11:43 - mmengine - INFO - Epoch(train) [25][ 100/1252] lr: 4.6082e-02 eta: 3 days, 5:36:15 time: 0.3692 data_time: 0.0017 loss: 2.9441 03/09 23:12:20 - mmengine - INFO - Epoch(train) [25][ 200/1252] lr: 4.6082e-02 eta: 3 days, 5:35:00 time: 0.3289 data_time: 0.0019 loss: 3.1340 03/09 23:12:57 - mmengine - INFO - Epoch(train) [25][ 300/1252] lr: 4.6082e-02 eta: 3 days, 5:33:28 time: 0.3507 data_time: 0.0019 loss: 3.0718 03/09 23:13:35 - mmengine - INFO - Epoch(train) [25][ 400/1252] lr: 4.6082e-02 eta: 3 days, 5:32:34 time: 0.4217 data_time: 0.0019 loss: 2.9929 03/09 23:14:11 - mmengine - INFO - Epoch(train) [25][ 500/1252] lr: 4.6082e-02 eta: 3 days, 5:30:50 time: 0.3162 data_time: 0.0017 loss: 3.0319 03/09 23:14:47 - mmengine - INFO - Epoch(train) [25][ 600/1252] lr: 4.6082e-02 eta: 3 days, 5:29:14 time: 0.4087 data_time: 0.0019 loss: 3.0990 03/09 23:15:24 - mmengine - INFO - Epoch(train) [25][ 700/1252] lr: 4.6082e-02 eta: 3 days, 5:27:58 time: 0.4123 data_time: 0.0020 loss: 3.1322 03/09 23:16:00 - mmengine - INFO - Epoch(train) [25][ 800/1252] lr: 4.6082e-02 eta: 3 days, 5:26:16 time: 0.2985 data_time: 0.0017 loss: 3.0057 03/09 23:16:37 - mmengine - INFO - Epoch(train) [25][ 900/1252] lr: 4.6082e-02 eta: 3 days, 5:24:56 time: 0.2820 data_time: 0.0024 loss: 3.1104 03/09 23:16:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:17:14 - mmengine - INFO - Epoch(train) [25][1000/1252] lr: 4.6082e-02 eta: 3 days, 5:23:47 time: 0.4220 data_time: 0.0016 loss: 3.0533 03/09 23:17:50 - mmengine - INFO - Epoch(train) [25][1100/1252] lr: 4.6082e-02 eta: 3 days, 5:22:07 time: 0.3427 data_time: 0.0019 loss: 3.1237 03/09 23:18:28 - mmengine - INFO - Epoch(train) [25][1200/1252] lr: 4.6082e-02 eta: 3 days, 5:21:01 time: 0.3817 data_time: 0.0018 loss: 3.0520 03/09 23:18:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:18:46 - mmengine - INFO - Saving checkpoint at 25 epochs 03/09 23:19:12 - mmengine - INFO - Epoch(val) [25][49/49] accuracy/top1: 34.7780 accuracy/top5: 59.6420 03/09 23:19:52 - mmengine - INFO - Epoch(train) [26][ 100/1252] lr: 4.6082e-02 eta: 3 days, 5:19:27 time: 0.4092 data_time: 0.0018 loss: 3.0142 03/09 23:20:29 - mmengine - INFO - Epoch(train) [26][ 200/1252] lr: 4.6082e-02 eta: 3 days, 5:18:20 time: 0.4300 data_time: 0.0016 loss: 3.0518 03/09 23:21:04 - mmengine - INFO - Epoch(train) [26][ 300/1252] lr: 4.6082e-02 eta: 3 days, 5:16:26 time: 0.3184 data_time: 0.0017 loss: 3.1478 03/09 23:21:42 - mmengine - INFO - Epoch(train) [26][ 400/1252] lr: 4.6082e-02 eta: 3 days, 5:15:20 time: 0.3332 data_time: 0.0021 loss: 3.2130 03/09 23:22:19 - mmengine - INFO - Epoch(train) [26][ 500/1252] lr: 4.6082e-02 eta: 3 days, 5:14:10 time: 0.3975 data_time: 0.0015 loss: 3.1155 03/09 23:22:56 - mmengine - INFO - Epoch(train) [26][ 600/1252] lr: 4.6082e-02 eta: 3 days, 5:12:48 time: 0.3455 data_time: 0.0023 loss: 3.1081 03/09 23:23:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:23:33 - mmengine - INFO - Epoch(train) [26][ 700/1252] lr: 4.6082e-02 eta: 3 days, 5:11:39 time: 0.3996 data_time: 0.0019 loss: 2.9811 03/09 23:24:09 - mmengine - INFO - Epoch(train) [26][ 800/1252] lr: 4.6082e-02 eta: 3 days, 5:10:07 time: 0.3894 data_time: 0.0018 loss: 3.0147 03/09 23:24:48 - mmengine - INFO - Epoch(train) [26][ 900/1252] lr: 4.6082e-02 eta: 3 days, 5:09:16 time: 0.3538 data_time: 0.0018 loss: 3.0322 03/09 23:25:24 - mmengine - INFO - Epoch(train) [26][1000/1252] lr: 4.6082e-02 eta: 3 days, 5:07:57 time: 0.3494 data_time: 0.0017 loss: 3.0754 03/09 23:26:02 - mmengine - INFO - Epoch(train) [26][1100/1252] lr: 4.6082e-02 eta: 3 days, 5:06:57 time: 0.3867 data_time: 0.0017 loss: 2.9997 03/09 23:26:38 - mmengine - INFO - Epoch(train) [26][1200/1252] lr: 4.6082e-02 eta: 3 days, 5:05:28 time: 0.3345 data_time: 0.0018 loss: 3.0379 03/09 23:26:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:26:57 - mmengine - INFO - Saving checkpoint at 26 epochs 03/09 23:27:23 - mmengine - INFO - Epoch(val) [26][49/49] accuracy/top1: 34.4800 accuracy/top5: 60.0380 03/09 23:28:03 - mmengine - INFO - Epoch(train) [27][ 100/1252] lr: 4.4838e-02 eta: 3 days, 5:04:27 time: 0.3917 data_time: 0.0018 loss: 2.9084 03/09 23:28:40 - mmengine - INFO - Epoch(train) [27][ 200/1252] lr: 4.4838e-02 eta: 3 days, 5:02:59 time: 0.3614 data_time: 0.0018 loss: 3.1410 03/09 23:29:17 - mmengine - INFO - Epoch(train) [27][ 300/1252] lr: 4.4838e-02 eta: 3 days, 5:01:59 time: 0.3874 data_time: 0.0019 loss: 2.9623 03/09 23:29:53 - mmengine - INFO - Epoch(train) [27][ 400/1252] lr: 4.4838e-02 eta: 3 days, 5:00:21 time: 0.3106 data_time: 0.0017 loss: 3.0063 03/09 23:30:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:30:32 - mmengine - INFO - Epoch(train) [27][ 500/1252] lr: 4.4838e-02 eta: 3 days, 4:59:37 time: 0.3579 data_time: 0.0016 loss: 3.1633 03/09 23:31:08 - mmengine - INFO - Epoch(train) [27][ 600/1252] lr: 4.4838e-02 eta: 3 days, 4:58:03 time: 0.2987 data_time: 0.0017 loss: 2.9759 03/09 23:31:45 - mmengine - INFO - Epoch(train) [27][ 700/1252] lr: 4.4838e-02 eta: 3 days, 4:56:49 time: 0.3544 data_time: 0.0017 loss: 3.0546 03/09 23:32:22 - mmengine - INFO - Epoch(train) [27][ 800/1252] lr: 4.4838e-02 eta: 3 days, 4:55:51 time: 0.3705 data_time: 0.0017 loss: 3.0437 03/09 23:33:00 - mmengine - INFO - Epoch(train) [27][ 900/1252] lr: 4.4838e-02 eta: 3 days, 4:54:44 time: 0.3607 data_time: 0.0017 loss: 2.9844 03/09 23:33:36 - mmengine - INFO - Epoch(train) [27][1000/1252] lr: 4.4838e-02 eta: 3 days, 4:53:30 time: 0.4048 data_time: 0.0014 loss: 3.1692 03/09 23:34:13 - mmengine - INFO - Epoch(train) [27][1100/1252] lr: 4.4838e-02 eta: 3 days, 4:52:16 time: 0.3052 data_time: 0.0017 loss: 3.0103 03/09 23:34:52 - mmengine - INFO - Epoch(train) [27][1200/1252] lr: 4.4838e-02 eta: 3 days, 4:51:31 time: 0.4170 data_time: 0.0019 loss: 3.0192 03/09 23:35:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:35:10 - mmengine - INFO - Saving checkpoint at 27 epochs 03/09 23:35:35 - mmengine - INFO - Epoch(val) [27][49/49] accuracy/top1: 33.8020 accuracy/top5: 58.5680 03/09 23:36:15 - mmengine - INFO - Epoch(train) [28][ 100/1252] lr: 4.4838e-02 eta: 3 days, 4:49:57 time: 0.3536 data_time: 0.0019 loss: 2.9641 03/09 23:36:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:36:51 - mmengine - INFO - Epoch(train) [28][ 200/1252] lr: 4.4838e-02 eta: 3 days, 4:48:41 time: 0.2800 data_time: 0.0019 loss: 3.1080 03/09 23:37:28 - mmengine - INFO - Epoch(train) [28][ 300/1252] lr: 4.4838e-02 eta: 3 days, 4:47:23 time: 0.2968 data_time: 0.0018 loss: 2.9412 03/09 23:38:05 - mmengine - INFO - Epoch(train) [28][ 400/1252] lr: 4.4838e-02 eta: 3 days, 4:46:20 time: 0.4403 data_time: 0.0017 loss: 2.9974 03/09 23:38:42 - mmengine - INFO - Epoch(train) [28][ 500/1252] lr: 4.4838e-02 eta: 3 days, 4:45:06 time: 0.4132 data_time: 0.0016 loss: 2.9983 03/09 23:39:19 - mmengine - INFO - Epoch(train) [28][ 600/1252] lr: 4.4838e-02 eta: 3 days, 4:43:47 time: 0.4209 data_time: 0.0017 loss: 3.0136 03/09 23:39:55 - mmengine - INFO - Epoch(train) [28][ 700/1252] lr: 4.4838e-02 eta: 3 days, 4:42:21 time: 0.3018 data_time: 0.0019 loss: 3.0663 03/09 23:40:33 - mmengine - INFO - Epoch(train) [28][ 800/1252] lr: 4.4838e-02 eta: 3 days, 4:41:28 time: 0.3520 data_time: 0.0016 loss: 3.1272 03/09 23:41:10 - mmengine - INFO - Epoch(train) [28][ 900/1252] lr: 4.4838e-02 eta: 3 days, 4:40:22 time: 0.3987 data_time: 0.0019 loss: 3.1139 03/09 23:41:47 - mmengine - INFO - Epoch(train) [28][1000/1252] lr: 4.4838e-02 eta: 3 days, 4:39:13 time: 0.3923 data_time: 0.0017 loss: 3.0604 03/09 23:42:23 - mmengine - INFO - Epoch(train) [28][1100/1252] lr: 4.4838e-02 eta: 3 days, 4:37:41 time: 0.2938 data_time: 0.0019 loss: 3.0765 03/09 23:42:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:43:01 - mmengine - INFO - Epoch(train) [28][1200/1252] lr: 4.4838e-02 eta: 3 days, 4:36:41 time: 0.4094 data_time: 0.0018 loss: 3.0477 03/09 23:43:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:43:20 - mmengine - INFO - Saving checkpoint at 28 epochs 03/09 23:43:46 - mmengine - INFO - Epoch(val) [28][49/49] accuracy/top1: 40.5100 accuracy/top5: 66.2040 03/09 23:44:25 - mmengine - INFO - Epoch(train) [29][ 100/1252] lr: 4.3627e-02 eta: 3 days, 4:35:21 time: 0.3322 data_time: 0.0017 loss: 2.9837 03/09 23:45:02 - mmengine - INFO - Epoch(train) [29][ 200/1252] lr: 4.3627e-02 eta: 3 days, 4:34:16 time: 0.3116 data_time: 0.0020 loss: 3.0520 03/09 23:45:38 - mmengine - INFO - Epoch(train) [29][ 300/1252] lr: 4.3627e-02 eta: 3 days, 4:32:58 time: 0.3011 data_time: 0.0018 loss: 3.0751 03/09 23:46:15 - mmengine - INFO - Epoch(train) [29][ 400/1252] lr: 4.3627e-02 eta: 3 days, 4:31:46 time: 0.4012 data_time: 0.0016 loss: 3.0537 03/09 23:46:52 - mmengine - INFO - Epoch(train) [29][ 500/1252] lr: 4.3627e-02 eta: 3 days, 4:30:39 time: 0.3017 data_time: 0.0018 loss: 3.0528 03/09 23:47:29 - mmengine - INFO - Epoch(train) [29][ 600/1252] lr: 4.3627e-02 eta: 3 days, 4:29:24 time: 0.3527 data_time: 0.0019 loss: 2.9627 03/09 23:48:07 - mmengine - INFO - Epoch(train) [29][ 700/1252] lr: 4.3627e-02 eta: 3 days, 4:28:28 time: 0.4135 data_time: 0.0018 loss: 3.1148 03/09 23:48:43 - mmengine - INFO - Epoch(train) [29][ 800/1252] lr: 4.3627e-02 eta: 3 days, 4:27:01 time: 0.3628 data_time: 0.0016 loss: 2.9634 03/09 23:49:20 - mmengine - INFO - Epoch(train) [29][ 900/1252] lr: 4.3627e-02 eta: 3 days, 4:25:54 time: 0.3480 data_time: 0.0018 loss: 3.0128 03/09 23:49:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:49:57 - mmengine - INFO - Epoch(train) [29][1000/1252] lr: 4.3627e-02 eta: 3 days, 4:24:48 time: 0.2814 data_time: 0.0023 loss: 3.0252 03/09 23:50:33 - mmengine - INFO - Epoch(train) [29][1100/1252] lr: 4.3627e-02 eta: 3 days, 4:23:33 time: 0.3642 data_time: 0.0018 loss: 3.0243 03/09 23:51:10 - mmengine - INFO - Epoch(train) [29][1200/1252] lr: 4.3627e-02 eta: 3 days, 4:22:22 time: 0.3154 data_time: 0.0019 loss: 3.1306 03/09 23:51:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:51:29 - mmengine - INFO - Saving checkpoint at 29 epochs 03/09 23:51:54 - mmengine - INFO - Epoch(val) [29][49/49] accuracy/top1: 41.6160 accuracy/top5: 67.4580 03/09 23:52:33 - mmengine - INFO - Epoch(train) [30][ 100/1252] lr: 4.3627e-02 eta: 3 days, 4:20:57 time: 0.3722 data_time: 0.0019 loss: 2.9498 03/09 23:53:10 - mmengine - INFO - Epoch(train) [30][ 200/1252] lr: 4.3627e-02 eta: 3 days, 4:19:42 time: 0.3252 data_time: 0.0017 loss: 3.0245 03/09 23:53:47 - mmengine - INFO - Epoch(train) [30][ 300/1252] lr: 4.3627e-02 eta: 3 days, 4:18:31 time: 0.3857 data_time: 0.0018 loss: 3.0521 03/09 23:54:23 - mmengine - INFO - Epoch(train) [30][ 400/1252] lr: 4.3627e-02 eta: 3 days, 4:17:12 time: 0.3626 data_time: 0.0018 loss: 3.0730 03/09 23:55:00 - mmengine - INFO - Epoch(train) [30][ 500/1252] lr: 4.3627e-02 eta: 3 days, 4:16:00 time: 0.3359 data_time: 0.0018 loss: 2.9364 03/09 23:55:37 - mmengine - INFO - Epoch(train) [30][ 600/1252] lr: 4.3627e-02 eta: 3 days, 4:14:53 time: 0.4059 data_time: 0.0018 loss: 2.9783 03/09 23:56:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:56:13 - mmengine - INFO - Epoch(train) [30][ 700/1252] lr: 4.3627e-02 eta: 3 days, 4:13:37 time: 0.3490 data_time: 0.0018 loss: 3.0061 03/09 23:56:50 - mmengine - INFO - Epoch(train) [30][ 800/1252] lr: 4.3627e-02 eta: 3 days, 4:12:27 time: 0.3252 data_time: 0.0017 loss: 3.0685 03/09 23:57:27 - mmengine - INFO - Epoch(train) [30][ 900/1252] lr: 4.3627e-02 eta: 3 days, 4:11:29 time: 0.3795 data_time: 0.0023 loss: 3.1127 03/09 23:58:05 - mmengine - INFO - Epoch(train) [30][1000/1252] lr: 4.3627e-02 eta: 3 days, 4:10:36 time: 0.3964 data_time: 0.0017 loss: 3.1062 03/09 23:58:41 - mmengine - INFO - Epoch(train) [30][1100/1252] lr: 4.3627e-02 eta: 3 days, 4:09:18 time: 0.4159 data_time: 0.0020 loss: 3.1029 03/09 23:59:19 - mmengine - INFO - Epoch(train) [30][1200/1252] lr: 4.3627e-02 eta: 3 days, 4:08:21 time: 0.3505 data_time: 0.0020 loss: 3.0795 03/09 23:59:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/09 23:59:36 - mmengine - INFO - Saving checkpoint at 30 epochs 03/10 00:00:02 - mmengine - INFO - Epoch(val) [30][49/49] accuracy/top1: 33.5160 accuracy/top5: 58.4140 03/10 00:00:42 - mmengine - INFO - Epoch(train) [31][ 100/1252] lr: 4.2449e-02 eta: 3 days, 4:06:51 time: 0.3827 data_time: 0.0019 loss: 2.9242 03/10 00:01:18 - mmengine - INFO - Epoch(train) [31][ 200/1252] lr: 4.2449e-02 eta: 3 days, 4:05:39 time: 0.3554 data_time: 0.0019 loss: 3.0424 03/10 00:01:56 - mmengine - INFO - Epoch(train) [31][ 300/1252] lr: 4.2449e-02 eta: 3 days, 4:04:41 time: 0.3779 data_time: 0.0018 loss: 2.9352 03/10 00:02:32 - mmengine - INFO - Epoch(train) [31][ 400/1252] lr: 4.2449e-02 eta: 3 days, 4:03:29 time: 0.3324 data_time: 0.0017 loss: 3.0049 03/10 00:02:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:03:11 - mmengine - INFO - Epoch(train) [31][ 500/1252] lr: 4.2449e-02 eta: 3 days, 4:02:51 time: 0.3596 data_time: 0.0021 loss: 3.0784 03/10 00:03:46 - mmengine - INFO - Epoch(train) [31][ 600/1252] lr: 4.2449e-02 eta: 3 days, 4:01:18 time: 0.3552 data_time: 0.0022 loss: 3.0673 03/10 00:04:24 - mmengine - INFO - Epoch(train) [31][ 700/1252] lr: 4.2449e-02 eta: 3 days, 4:00:25 time: 0.4419 data_time: 0.0019 loss: 3.1323 03/10 00:05:01 - mmengine - INFO - Epoch(train) [31][ 800/1252] lr: 4.2449e-02 eta: 3 days, 3:59:15 time: 0.3502 data_time: 0.0019 loss: 2.9213 03/10 00:05:37 - mmengine - INFO - Epoch(train) [31][ 900/1252] lr: 4.2449e-02 eta: 3 days, 3:58:03 time: 0.3577 data_time: 0.0017 loss: 2.9811 03/10 00:06:14 - mmengine - INFO - Epoch(train) [31][1000/1252] lr: 4.2449e-02 eta: 3 days, 3:56:58 time: 0.3767 data_time: 0.0017 loss: 3.1938 03/10 00:06:51 - mmengine - INFO - Epoch(train) [31][1100/1252] lr: 4.2449e-02 eta: 3 days, 3:55:59 time: 0.3230 data_time: 0.0017 loss: 3.0769 03/10 00:07:28 - mmengine - INFO - Epoch(train) [31][1200/1252] lr: 4.2449e-02 eta: 3 days, 3:54:48 time: 0.3666 data_time: 0.0018 loss: 3.0808 03/10 00:07:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:07:46 - mmengine - INFO - Saving checkpoint at 31 epochs 03/10 00:08:10 - mmengine - INFO - Epoch(val) [31][49/49] accuracy/top1: 33.5660 accuracy/top5: 58.4360 03/10 00:08:50 - mmengine - INFO - Epoch(train) [32][ 100/1252] lr: 4.2449e-02 eta: 3 days, 3:53:20 time: 0.3333 data_time: 0.0018 loss: 2.8882 03/10 00:09:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:09:26 - mmengine - INFO - Epoch(train) [32][ 200/1252] lr: 4.2449e-02 eta: 3 days, 3:52:09 time: 0.3886 data_time: 0.0018 loss: 2.9481 03/10 00:10:03 - mmengine - INFO - Epoch(train) [32][ 300/1252] lr: 4.2449e-02 eta: 3 days, 3:51:10 time: 0.4371 data_time: 0.0016 loss: 3.0602 03/10 00:10:41 - mmengine - INFO - Epoch(train) [32][ 400/1252] lr: 4.2449e-02 eta: 3 days, 3:50:17 time: 0.3496 data_time: 0.0018 loss: 2.9190 03/10 00:11:17 - mmengine - INFO - Epoch(train) [32][ 500/1252] lr: 4.2449e-02 eta: 3 days, 3:49:01 time: 0.3284 data_time: 0.0021 loss: 3.0468 03/10 00:11:55 - mmengine - INFO - Epoch(train) [32][ 600/1252] lr: 4.2449e-02 eta: 3 days, 3:48:07 time: 0.3478 data_time: 0.0019 loss: 2.9159 03/10 00:12:31 - mmengine - INFO - Epoch(train) [32][ 700/1252] lr: 4.2449e-02 eta: 3 days, 3:46:54 time: 0.4150 data_time: 0.0017 loss: 3.0430 03/10 00:13:08 - mmengine - INFO - Epoch(train) [32][ 800/1252] lr: 4.2449e-02 eta: 3 days, 3:45:47 time: 0.4127 data_time: 0.0018 loss: 3.0512 03/10 00:13:44 - mmengine - INFO - Epoch(train) [32][ 900/1252] lr: 4.2449e-02 eta: 3 days, 3:44:34 time: 0.3777 data_time: 0.0019 loss: 2.9331 03/10 00:14:22 - mmengine - INFO - Epoch(train) [32][1000/1252] lr: 4.2449e-02 eta: 3 days, 3:43:45 time: 0.4212 data_time: 0.0021 loss: 2.9190 03/10 00:14:58 - mmengine - INFO - Epoch(train) [32][1100/1252] lr: 4.2449e-02 eta: 3 days, 3:42:28 time: 0.3426 data_time: 0.0025 loss: 2.9249 03/10 00:15:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:15:36 - mmengine - INFO - Epoch(train) [32][1200/1252] lr: 4.2449e-02 eta: 3 days, 3:41:34 time: 0.3322 data_time: 0.0023 loss: 2.9120 03/10 00:15:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:15:53 - mmengine - INFO - Saving checkpoint at 32 epochs 03/10 00:16:19 - mmengine - INFO - Epoch(val) [32][49/49] accuracy/top1: 38.6280 accuracy/top5: 63.9760 03/10 00:16:58 - mmengine - INFO - Epoch(train) [33][ 100/1252] lr: 4.1303e-02 eta: 3 days, 3:40:03 time: 0.4072 data_time: 0.0018 loss: 3.0457 03/10 00:17:34 - mmengine - INFO - Epoch(train) [33][ 200/1252] lr: 4.1303e-02 eta: 3 days, 3:38:55 time: 0.3726 data_time: 0.0020 loss: 2.9380 03/10 00:18:11 - mmengine - INFO - Epoch(train) [33][ 300/1252] lr: 4.1303e-02 eta: 3 days, 3:37:39 time: 0.3090 data_time: 0.0017 loss: 3.0561 03/10 00:18:49 - mmengine - INFO - Epoch(train) [33][ 400/1252] lr: 4.1303e-02 eta: 3 days, 3:36:56 time: 0.3912 data_time: 0.0019 loss: 2.9934 03/10 00:19:25 - mmengine - INFO - Epoch(train) [33][ 500/1252] lr: 4.1303e-02 eta: 3 days, 3:35:44 time: 0.3747 data_time: 0.0021 loss: 3.0163 03/10 00:20:02 - mmengine - INFO - Epoch(train) [33][ 600/1252] lr: 4.1303e-02 eta: 3 days, 3:34:36 time: 0.3804 data_time: 0.0019 loss: 3.0073 03/10 00:20:39 - mmengine - INFO - Epoch(train) [33][ 700/1252] lr: 4.1303e-02 eta: 3 days, 3:33:46 time: 0.3866 data_time: 0.0018 loss: 2.9289 03/10 00:21:16 - mmengine - INFO - Epoch(train) [33][ 800/1252] lr: 4.1303e-02 eta: 3 days, 3:32:41 time: 0.2805 data_time: 0.0019 loss: 3.0524 03/10 00:21:53 - mmengine - INFO - Epoch(train) [33][ 900/1252] lr: 4.1303e-02 eta: 3 days, 3:31:32 time: 0.3278 data_time: 0.0025 loss: 3.0290 03/10 00:22:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:22:29 - mmengine - INFO - Epoch(train) [33][1000/1252] lr: 4.1303e-02 eta: 3 days, 3:30:23 time: 0.3521 data_time: 0.0018 loss: 2.9878 03/10 00:23:07 - mmengine - INFO - Epoch(train) [33][1100/1252] lr: 4.1303e-02 eta: 3 days, 3:29:45 time: 0.4347 data_time: 0.0020 loss: 2.9028 03/10 00:23:44 - mmengine - INFO - Epoch(train) [33][1200/1252] lr: 4.1303e-02 eta: 3 days, 3:28:30 time: 0.3511 data_time: 0.0016 loss: 2.9139 03/10 00:24:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:24:02 - mmengine - INFO - Saving checkpoint at 33 epochs 03/10 00:24:27 - mmengine - INFO - Epoch(val) [33][49/49] accuracy/top1: 37.0860 accuracy/top5: 62.2120 03/10 00:25:06 - mmengine - INFO - Epoch(train) [34][ 100/1252] lr: 4.1303e-02 eta: 3 days, 3:27:22 time: 0.3502 data_time: 0.0026 loss: 2.9149 03/10 00:25:43 - mmengine - INFO - Epoch(train) [34][ 200/1252] lr: 4.1303e-02 eta: 3 days, 3:26:26 time: 0.4274 data_time: 0.0018 loss: 2.9843 03/10 00:26:19 - mmengine - INFO - Epoch(train) [34][ 300/1252] lr: 4.1303e-02 eta: 3 days, 3:25:08 time: 0.3584 data_time: 0.0019 loss: 2.9040 03/10 00:26:57 - mmengine - INFO - Epoch(train) [34][ 400/1252] lr: 4.1303e-02 eta: 3 days, 3:24:12 time: 0.3607 data_time: 0.0017 loss: 2.9835 03/10 00:27:33 - mmengine - INFO - Epoch(train) [34][ 500/1252] lr: 4.1303e-02 eta: 3 days, 3:23:03 time: 0.3245 data_time: 0.0018 loss: 2.9116 03/10 00:28:11 - mmengine - INFO - Epoch(train) [34][ 600/1252] lr: 4.1303e-02 eta: 3 days, 3:22:12 time: 0.4466 data_time: 0.0018 loss: 3.0443 03/10 00:28:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:28:47 - mmengine - INFO - Epoch(train) [34][ 700/1252] lr: 4.1303e-02 eta: 3 days, 3:21:06 time: 0.4266 data_time: 0.0015 loss: 3.0213 03/10 00:29:23 - mmengine - INFO - Epoch(train) [34][ 800/1252] lr: 4.1303e-02 eta: 3 days, 3:19:46 time: 0.3772 data_time: 0.0021 loss: 2.9878 03/10 00:29:59 - mmengine - INFO - Epoch(train) [34][ 900/1252] lr: 4.1303e-02 eta: 3 days, 3:18:34 time: 0.3002 data_time: 0.0021 loss: 2.9327 03/10 00:30:37 - mmengine - INFO - Epoch(train) [34][1000/1252] lr: 4.1303e-02 eta: 3 days, 3:17:54 time: 0.3948 data_time: 0.0019 loss: 2.9243 03/10 00:31:12 - mmengine - INFO - Epoch(train) [34][1100/1252] lr: 4.1303e-02 eta: 3 days, 3:16:22 time: 0.3153 data_time: 0.0019 loss: 3.0233 03/10 00:31:50 - mmengine - INFO - Epoch(train) [34][1200/1252] lr: 4.1303e-02 eta: 3 days, 3:15:26 time: 0.3245 data_time: 0.0020 loss: 2.9506 03/10 00:32:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:32:08 - mmengine - INFO - Saving checkpoint at 34 epochs 03/10 00:32:33 - mmengine - INFO - Epoch(val) [34][49/49] accuracy/top1: 41.6120 accuracy/top5: 67.7100 03/10 00:33:11 - mmengine - INFO - Epoch(train) [35][ 100/1252] lr: 4.0188e-02 eta: 3 days, 3:14:04 time: 0.3056 data_time: 0.0019 loss: 2.9076 03/10 00:33:49 - mmengine - INFO - Epoch(train) [35][ 200/1252] lr: 4.0188e-02 eta: 3 days, 3:13:14 time: 0.4222 data_time: 0.0018 loss: 2.9475 03/10 00:34:25 - mmengine - INFO - Epoch(train) [35][ 300/1252] lr: 4.0188e-02 eta: 3 days, 3:12:08 time: 0.3265 data_time: 0.0022 loss: 2.9745 03/10 00:35:04 - mmengine - INFO - Epoch(train) [35][ 400/1252] lr: 4.0188e-02 eta: 3 days, 3:11:27 time: 0.4283 data_time: 0.0019 loss: 2.8753 03/10 00:35:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:35:41 - mmengine - INFO - Epoch(train) [35][ 500/1252] lr: 4.0188e-02 eta: 3 days, 3:10:31 time: 0.3803 data_time: 0.0017 loss: 2.9412 03/10 00:36:16 - mmengine - INFO - Epoch(train) [35][ 600/1252] lr: 4.0188e-02 eta: 3 days, 3:09:09 time: 0.3837 data_time: 0.0021 loss: 2.9087 03/10 00:36:54 - mmengine - INFO - Epoch(train) [35][ 700/1252] lr: 4.0188e-02 eta: 3 days, 3:08:20 time: 0.4519 data_time: 0.0017 loss: 2.9606 03/10 00:37:30 - mmengine - INFO - Epoch(train) [35][ 800/1252] lr: 4.0188e-02 eta: 3 days, 3:07:06 time: 0.3431 data_time: 0.0016 loss: 2.9736 03/10 00:38:08 - mmengine - INFO - Epoch(train) [35][ 900/1252] lr: 4.0188e-02 eta: 3 days, 3:06:22 time: 0.3856 data_time: 0.0017 loss: 2.9729 03/10 00:38:44 - mmengine - INFO - Epoch(train) [35][1000/1252] lr: 4.0188e-02 eta: 3 days, 3:05:12 time: 0.3446 data_time: 0.0017 loss: 2.9624 03/10 00:39:21 - mmengine - INFO - Epoch(train) [35][1100/1252] lr: 4.0188e-02 eta: 3 days, 3:04:21 time: 0.3719 data_time: 0.0017 loss: 2.9695 03/10 00:39:59 - mmengine - INFO - Epoch(train) [35][1200/1252] lr: 4.0188e-02 eta: 3 days, 3:03:27 time: 0.3978 data_time: 0.0017 loss: 2.9741 03/10 00:40:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:40:17 - mmengine - INFO - Saving checkpoint at 35 epochs 03/10 00:40:41 - mmengine - INFO - Epoch(val) [35][49/49] accuracy/top1: 41.6040 accuracy/top5: 67.1320 03/10 00:41:21 - mmengine - INFO - Epoch(train) [36][ 100/1252] lr: 4.0188e-02 eta: 3 days, 3:02:27 time: 0.4058 data_time: 0.0019 loss: 2.9835 03/10 00:41:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:41:57 - mmengine - INFO - Epoch(train) [36][ 200/1252] lr: 4.0188e-02 eta: 3 days, 3:01:19 time: 0.3569 data_time: 0.0018 loss: 2.8025 03/10 00:42:35 - mmengine - INFO - Epoch(train) [36][ 300/1252] lr: 4.0188e-02 eta: 3 days, 3:00:33 time: 0.4152 data_time: 0.0019 loss: 2.9288 03/10 00:43:11 - mmengine - INFO - Epoch(train) [36][ 400/1252] lr: 4.0188e-02 eta: 3 days, 2:59:21 time: 0.3722 data_time: 0.0018 loss: 2.7643 03/10 00:43:49 - mmengine - INFO - Epoch(train) [36][ 500/1252] lr: 4.0188e-02 eta: 3 days, 2:58:38 time: 0.4456 data_time: 0.0017 loss: 3.0134 03/10 00:44:25 - mmengine - INFO - Epoch(train) [36][ 600/1252] lr: 4.0188e-02 eta: 3 days, 2:57:33 time: 0.3547 data_time: 0.0016 loss: 2.9546 03/10 00:45:02 - mmengine - INFO - Epoch(train) [36][ 700/1252] lr: 4.0188e-02 eta: 3 days, 2:56:31 time: 0.3695 data_time: 0.0015 loss: 2.9872 03/10 00:45:39 - mmengine - INFO - Epoch(train) [36][ 800/1252] lr: 4.0188e-02 eta: 3 days, 2:55:34 time: 0.3935 data_time: 0.0017 loss: 2.9958 03/10 00:46:15 - mmengine - INFO - Epoch(train) [36][ 900/1252] lr: 4.0188e-02 eta: 3 days, 2:54:23 time: 0.3116 data_time: 0.0020 loss: 2.9189 03/10 00:46:53 - mmengine - INFO - Epoch(train) [36][1000/1252] lr: 4.0188e-02 eta: 3 days, 2:53:34 time: 0.2990 data_time: 0.0018 loss: 2.8731 03/10 00:47:30 - mmengine - INFO - Epoch(train) [36][1100/1252] lr: 4.0188e-02 eta: 3 days, 2:52:37 time: 0.3593 data_time: 0.0019 loss: 2.9788 03/10 00:47:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:48:06 - mmengine - INFO - Epoch(train) [36][1200/1252] lr: 4.0188e-02 eta: 3 days, 2:51:32 time: 0.4054 data_time: 0.0018 loss: 2.8378 03/10 00:48:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:48:25 - mmengine - INFO - Saving checkpoint at 36 epochs 03/10 00:48:51 - mmengine - INFO - Epoch(val) [36][49/49] accuracy/top1: 38.0900 accuracy/top5: 63.2820 03/10 00:49:30 - mmengine - INFO - Epoch(train) [37][ 100/1252] lr: 3.9103e-02 eta: 3 days, 2:50:28 time: 0.3642 data_time: 0.0020 loss: 2.9379 03/10 00:50:06 - mmengine - INFO - Epoch(train) [37][ 200/1252] lr: 3.9103e-02 eta: 3 days, 2:49:25 time: 0.3668 data_time: 0.0019 loss: 2.9704 03/10 00:50:44 - mmengine - INFO - Epoch(train) [37][ 300/1252] lr: 3.9103e-02 eta: 3 days, 2:48:39 time: 0.4407 data_time: 0.0018 loss: 3.0412 03/10 00:51:21 - mmengine - INFO - Epoch(train) [37][ 400/1252] lr: 3.9103e-02 eta: 3 days, 2:47:47 time: 0.3140 data_time: 0.0018 loss: 2.9075 03/10 00:51:58 - mmengine - INFO - Epoch(train) [37][ 500/1252] lr: 3.9103e-02 eta: 3 days, 2:46:54 time: 0.4419 data_time: 0.0016 loss: 2.8901 03/10 00:52:35 - mmengine - INFO - Epoch(train) [37][ 600/1252] lr: 3.9103e-02 eta: 3 days, 2:45:48 time: 0.2814 data_time: 0.0021 loss: 2.9484 03/10 00:53:12 - mmengine - INFO - Epoch(train) [37][ 700/1252] lr: 3.9103e-02 eta: 3 days, 2:44:59 time: 0.3536 data_time: 0.0017 loss: 2.9560 03/10 00:53:50 - mmengine - INFO - Epoch(train) [37][ 800/1252] lr: 3.9103e-02 eta: 3 days, 2:44:13 time: 0.4447 data_time: 0.0018 loss: 2.9398 03/10 00:54:26 - mmengine - INFO - Epoch(train) [37][ 900/1252] lr: 3.9103e-02 eta: 3 days, 2:43:10 time: 0.4181 data_time: 0.0018 loss: 2.9067 03/10 00:54:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:55:04 - mmengine - INFO - Epoch(train) [37][1000/1252] lr: 3.9103e-02 eta: 3 days, 2:42:21 time: 0.3941 data_time: 0.0017 loss: 3.0513 03/10 00:55:41 - mmengine - INFO - Epoch(train) [37][1100/1252] lr: 3.9103e-02 eta: 3 days, 2:41:24 time: 0.4075 data_time: 0.0019 loss: 2.9430 03/10 00:56:17 - mmengine - INFO - Epoch(train) [37][1200/1252] lr: 3.9103e-02 eta: 3 days, 2:40:14 time: 0.3265 data_time: 0.0017 loss: 2.8504 03/10 00:56:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 00:56:35 - mmengine - INFO - Saving checkpoint at 37 epochs 03/10 00:57:02 - mmengine - INFO - Epoch(val) [37][49/49] accuracy/top1: 38.7060 accuracy/top5: 64.3720 03/10 00:57:40 - mmengine - INFO - Epoch(train) [38][ 100/1252] lr: 3.9103e-02 eta: 3 days, 2:39:05 time: 0.3426 data_time: 0.0019 loss: 2.9723 03/10 00:58:17 - mmengine - INFO - Epoch(train) [38][ 200/1252] lr: 3.9103e-02 eta: 3 days, 2:38:04 time: 0.3293 data_time: 0.0019 loss: 2.9020 03/10 00:58:55 - mmengine - INFO - Epoch(train) [38][ 300/1252] lr: 3.9103e-02 eta: 3 days, 2:37:19 time: 0.3936 data_time: 0.0017 loss: 2.9464 03/10 00:59:31 - mmengine - INFO - Epoch(train) [38][ 400/1252] lr: 3.9103e-02 eta: 3 days, 2:36:11 time: 0.3005 data_time: 0.0016 loss: 2.8596 03/10 01:00:08 - mmengine - INFO - Epoch(train) [38][ 500/1252] lr: 3.9103e-02 eta: 3 days, 2:35:16 time: 0.3586 data_time: 0.0018 loss: 3.0875 03/10 01:00:45 - mmengine - INFO - Epoch(train) [38][ 600/1252] lr: 3.9103e-02 eta: 3 days, 2:34:19 time: 0.3536 data_time: 0.0018 loss: 3.0369 03/10 01:01:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:01:21 - mmengine - INFO - Epoch(train) [38][ 700/1252] lr: 3.9103e-02 eta: 3 days, 2:33:15 time: 0.3915 data_time: 0.0019 loss: 2.9268 03/10 01:01:58 - mmengine - INFO - Epoch(train) [38][ 800/1252] lr: 3.9103e-02 eta: 3 days, 2:32:12 time: 0.3286 data_time: 0.0017 loss: 2.9561 03/10 01:02:36 - mmengine - INFO - Epoch(train) [38][ 900/1252] lr: 3.9103e-02 eta: 3 days, 2:31:36 time: 0.3851 data_time: 0.0021 loss: 2.8446 03/10 01:03:13 - mmengine - INFO - Epoch(train) [38][1000/1252] lr: 3.9103e-02 eta: 3 days, 2:30:41 time: 0.3361 data_time: 0.0021 loss: 3.0300 03/10 01:03:49 - mmengine - INFO - Epoch(train) [38][1100/1252] lr: 3.9103e-02 eta: 3 days, 2:29:30 time: 0.3614 data_time: 0.0019 loss: 3.0114 03/10 01:04:27 - mmengine - INFO - Epoch(train) [38][1200/1252] lr: 3.9103e-02 eta: 3 days, 2:28:49 time: 0.3982 data_time: 0.0026 loss: 2.8631 03/10 01:04:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:04:45 - mmengine - INFO - Saving checkpoint at 38 epochs 03/10 01:05:10 - mmengine - INFO - Epoch(val) [38][49/49] accuracy/top1: 37.5000 accuracy/top5: 62.8520 03/10 01:05:50 - mmengine - INFO - Epoch(train) [39][ 100/1252] lr: 3.8047e-02 eta: 3 days, 2:27:45 time: 0.4261 data_time: 0.0017 loss: 2.9526 03/10 01:06:27 - mmengine - INFO - Epoch(train) [39][ 200/1252] lr: 3.8047e-02 eta: 3 days, 2:26:50 time: 0.3240 data_time: 0.0018 loss: 2.7898 03/10 01:07:04 - mmengine - INFO - Epoch(train) [39][ 300/1252] lr: 3.8047e-02 eta: 3 days, 2:25:57 time: 0.3872 data_time: 0.0019 loss: 2.9220 03/10 01:07:40 - mmengine - INFO - Epoch(train) [39][ 400/1252] lr: 3.8047e-02 eta: 3 days, 2:24:53 time: 0.3618 data_time: 0.0020 loss: 2.7607 03/10 01:07:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:08:18 - mmengine - INFO - Epoch(train) [39][ 500/1252] lr: 3.8047e-02 eta: 3 days, 2:24:10 time: 0.3593 data_time: 0.0018 loss: 2.8346 03/10 01:08:55 - mmengine - INFO - Epoch(train) [39][ 600/1252] lr: 3.8047e-02 eta: 3 days, 2:23:17 time: 0.3714 data_time: 0.0019 loss: 2.9339 03/10 01:09:33 - mmengine - INFO - Epoch(train) [39][ 700/1252] lr: 3.8047e-02 eta: 3 days, 2:22:39 time: 0.3828 data_time: 0.0017 loss: 2.8933 03/10 01:10:09 - mmengine - INFO - Epoch(train) [39][ 800/1252] lr: 3.8047e-02 eta: 3 days, 2:21:24 time: 0.3373 data_time: 0.0022 loss: 2.8432 03/10 01:10:46 - mmengine - INFO - Epoch(train) [39][ 900/1252] lr: 3.8047e-02 eta: 3 days, 2:20:35 time: 0.3855 data_time: 0.0018 loss: 2.8612 03/10 01:11:23 - mmengine - INFO - Epoch(train) [39][1000/1252] lr: 3.8047e-02 eta: 3 days, 2:19:46 time: 0.3555 data_time: 0.0020 loss: 2.9822 03/10 01:12:01 - mmengine - INFO - Epoch(train) [39][1100/1252] lr: 3.8047e-02 eta: 3 days, 2:18:56 time: 0.3806 data_time: 0.0016 loss: 2.9316 03/10 01:12:36 - mmengine - INFO - Epoch(train) [39][1200/1252] lr: 3.8047e-02 eta: 3 days, 2:17:45 time: 0.3007 data_time: 0.0018 loss: 2.8181 03/10 01:12:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:12:55 - mmengine - INFO - Saving checkpoint at 39 epochs 03/10 01:13:22 - mmengine - INFO - Epoch(val) [39][49/49] accuracy/top1: 36.9740 accuracy/top5: 62.6400 03/10 01:14:01 - mmengine - INFO - Epoch(train) [40][ 100/1252] lr: 3.8047e-02 eta: 3 days, 2:16:49 time: 0.4362 data_time: 0.0020 loss: 2.8527 03/10 01:14:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:14:37 - mmengine - INFO - Epoch(train) [40][ 200/1252] lr: 3.8047e-02 eta: 3 days, 2:15:42 time: 0.3238 data_time: 0.0018 loss: 2.9249 03/10 01:15:15 - mmengine - INFO - Epoch(train) [40][ 300/1252] lr: 3.8047e-02 eta: 3 days, 2:15:00 time: 0.4131 data_time: 0.0023 loss: 2.9387 03/10 01:15:53 - mmengine - INFO - Epoch(train) [40][ 400/1252] lr: 3.8047e-02 eta: 3 days, 2:14:12 time: 0.4478 data_time: 0.0019 loss: 2.9502 03/10 01:16:29 - mmengine - INFO - Epoch(train) [40][ 500/1252] lr: 3.8047e-02 eta: 3 days, 2:13:14 time: 0.3902 data_time: 0.0018 loss: 3.0396 03/10 01:17:06 - mmengine - INFO - Epoch(train) [40][ 600/1252] lr: 3.8047e-02 eta: 3 days, 2:12:18 time: 0.3515 data_time: 0.0016 loss: 2.8357 03/10 01:17:42 - mmengine - INFO - Epoch(train) [40][ 700/1252] lr: 3.8047e-02 eta: 3 days, 2:11:08 time: 0.3999 data_time: 0.0018 loss: 2.8931 03/10 01:18:20 - mmengine - INFO - Epoch(train) [40][ 800/1252] lr: 3.8047e-02 eta: 3 days, 2:10:31 time: 0.4447 data_time: 0.0017 loss: 2.9893 03/10 01:18:57 - mmengine - INFO - Epoch(train) [40][ 900/1252] lr: 3.8047e-02 eta: 3 days, 2:09:32 time: 0.3972 data_time: 0.0018 loss: 2.8261 03/10 01:19:33 - mmengine - INFO - Epoch(train) [40][1000/1252] lr: 3.8047e-02 eta: 3 days, 2:08:34 time: 0.3889 data_time: 0.0021 loss: 2.9872 03/10 01:20:11 - mmengine - INFO - Epoch(train) [40][1100/1252] lr: 3.8047e-02 eta: 3 days, 2:07:42 time: 0.3571 data_time: 0.0020 loss: 3.0134 03/10 01:20:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:20:48 - mmengine - INFO - Epoch(train) [40][1200/1252] lr: 3.8047e-02 eta: 3 days, 2:06:51 time: 0.4375 data_time: 0.0019 loss: 2.9471 03/10 01:21:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:21:05 - mmengine - INFO - Saving checkpoint at 40 epochs 03/10 01:21:31 - mmengine - INFO - Epoch(val) [40][49/49] accuracy/top1: 37.3700 accuracy/top5: 62.9480 03/10 01:22:11 - mmengine - INFO - Epoch(train) [41][ 100/1252] lr: 3.7020e-02 eta: 3 days, 2:05:50 time: 0.3124 data_time: 0.0022 loss: 2.8697 03/10 01:22:48 - mmengine - INFO - Epoch(train) [41][ 200/1252] lr: 3.7020e-02 eta: 3 days, 2:04:54 time: 0.4124 data_time: 0.0017 loss: 2.9118 03/10 01:23:25 - mmengine - INFO - Epoch(train) [41][ 300/1252] lr: 3.7020e-02 eta: 3 days, 2:03:55 time: 0.3536 data_time: 0.0018 loss: 2.8863 03/10 01:24:02 - mmengine - INFO - Epoch(train) [41][ 400/1252] lr: 3.7020e-02 eta: 3 days, 2:03:09 time: 0.3523 data_time: 0.0019 loss: 2.9785 03/10 01:24:39 - mmengine - INFO - Epoch(train) [41][ 500/1252] lr: 3.7020e-02 eta: 3 days, 2:02:14 time: 0.3035 data_time: 0.0018 loss: 2.8913 03/10 01:25:15 - mmengine - INFO - Epoch(train) [41][ 600/1252] lr: 3.7020e-02 eta: 3 days, 2:01:10 time: 0.3608 data_time: 0.0020 loss: 2.8782 03/10 01:25:52 - mmengine - INFO - Epoch(train) [41][ 700/1252] lr: 3.7020e-02 eta: 3 days, 2:00:14 time: 0.3016 data_time: 0.0019 loss: 2.8685 03/10 01:26:29 - mmengine - INFO - Epoch(train) [41][ 800/1252] lr: 3.7020e-02 eta: 3 days, 1:59:20 time: 0.3323 data_time: 0.0018 loss: 2.9340 03/10 01:27:05 - mmengine - INFO - Epoch(train) [41][ 900/1252] lr: 3.7020e-02 eta: 3 days, 1:58:20 time: 0.3186 data_time: 0.0021 loss: 2.9718 03/10 01:27:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:27:44 - mmengine - INFO - Epoch(train) [41][1000/1252] lr: 3.7020e-02 eta: 3 days, 1:57:48 time: 0.4263 data_time: 0.0018 loss: 2.9430 03/10 01:28:20 - mmengine - INFO - Epoch(train) [41][1100/1252] lr: 3.7020e-02 eta: 3 days, 1:56:50 time: 0.4027 data_time: 0.0018 loss: 2.9191 03/10 01:28:56 - mmengine - INFO - Epoch(train) [41][1200/1252] lr: 3.7020e-02 eta: 3 days, 1:55:44 time: 0.3030 data_time: 0.0020 loss: 3.0603 03/10 01:29:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:29:16 - mmengine - INFO - Saving checkpoint at 41 epochs 03/10 01:29:40 - mmengine - INFO - Epoch(val) [41][49/49] accuracy/top1: 42.1040 accuracy/top5: 67.4320 03/10 01:30:20 - mmengine - INFO - Epoch(train) [42][ 100/1252] lr: 3.7020e-02 eta: 3 days, 1:54:46 time: 0.3451 data_time: 0.0023 loss: 2.8359 03/10 01:30:57 - mmengine - INFO - Epoch(train) [42][ 200/1252] lr: 3.7020e-02 eta: 3 days, 1:53:54 time: 0.2995 data_time: 0.0019 loss: 3.0009 03/10 01:31:34 - mmengine - INFO - Epoch(train) [42][ 300/1252] lr: 3.7020e-02 eta: 3 days, 1:53:10 time: 0.3973 data_time: 0.0018 loss: 2.8833 03/10 01:32:11 - mmengine - INFO - Epoch(train) [42][ 400/1252] lr: 3.7020e-02 eta: 3 days, 1:52:22 time: 0.4445 data_time: 0.0018 loss: 2.9701 03/10 01:32:47 - mmengine - INFO - Epoch(train) [42][ 500/1252] lr: 3.7020e-02 eta: 3 days, 1:51:16 time: 0.4094 data_time: 0.0017 loss: 2.9847 03/10 01:33:24 - mmengine - INFO - Epoch(train) [42][ 600/1252] lr: 3.7020e-02 eta: 3 days, 1:50:17 time: 0.2914 data_time: 0.0018 loss: 2.7821 03/10 01:33:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:34:01 - mmengine - INFO - Epoch(train) [42][ 700/1252] lr: 3.7020e-02 eta: 3 days, 1:49:28 time: 0.2885 data_time: 0.0021 loss: 2.7851 03/10 01:34:39 - mmengine - INFO - Epoch(train) [42][ 800/1252] lr: 3.7020e-02 eta: 3 days, 1:48:42 time: 0.4179 data_time: 0.0021 loss: 2.8932 03/10 01:35:16 - mmengine - INFO - Epoch(train) [42][ 900/1252] lr: 3.7020e-02 eta: 3 days, 1:48:02 time: 0.4083 data_time: 0.0019 loss: 3.0304 03/10 01:35:53 - mmengine - INFO - Epoch(train) [42][1000/1252] lr: 3.7020e-02 eta: 3 days, 1:46:59 time: 0.3818 data_time: 0.0020 loss: 2.7309 03/10 01:36:29 - mmengine - INFO - Epoch(train) [42][1100/1252] lr: 3.7020e-02 eta: 3 days, 1:46:00 time: 0.3182 data_time: 0.0024 loss: 2.8937 03/10 01:37:06 - mmengine - INFO - Epoch(train) [42][1200/1252] lr: 3.7020e-02 eta: 3 days, 1:45:03 time: 0.3226 data_time: 0.0018 loss: 2.8375 03/10 01:37:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:37:25 - mmengine - INFO - Saving checkpoint at 42 epochs 03/10 01:37:51 - mmengine - INFO - Epoch(val) [42][49/49] accuracy/top1: 42.6720 accuracy/top5: 68.0360 03/10 01:38:30 - mmengine - INFO - Epoch(train) [43][ 100/1252] lr: 3.6020e-02 eta: 3 days, 1:44:07 time: 0.3683 data_time: 0.0020 loss: 2.7409 03/10 01:39:08 - mmengine - INFO - Epoch(train) [43][ 200/1252] lr: 3.6020e-02 eta: 3 days, 1:43:19 time: 0.4232 data_time: 0.0019 loss: 2.8644 03/10 01:39:44 - mmengine - INFO - Epoch(train) [43][ 300/1252] lr: 3.6020e-02 eta: 3 days, 1:42:16 time: 0.3969 data_time: 0.0018 loss: 2.7830 03/10 01:40:21 - mmengine - INFO - Epoch(train) [43][ 400/1252] lr: 3.6020e-02 eta: 3 days, 1:41:26 time: 0.3345 data_time: 0.0019 loss: 2.9570 03/10 01:40:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:40:59 - mmengine - INFO - Epoch(train) [43][ 500/1252] lr: 3.6020e-02 eta: 3 days, 1:40:50 time: 0.4221 data_time: 0.0019 loss: 2.8315 03/10 01:41:35 - mmengine - INFO - Epoch(train) [43][ 600/1252] lr: 3.6020e-02 eta: 3 days, 1:39:52 time: 0.3526 data_time: 0.0019 loss: 2.8685 03/10 01:42:13 - mmengine - INFO - Epoch(train) [43][ 700/1252] lr: 3.6020e-02 eta: 3 days, 1:39:07 time: 0.4091 data_time: 0.0018 loss: 2.8061 03/10 01:42:49 - mmengine - INFO - Epoch(train) [43][ 800/1252] lr: 3.6020e-02 eta: 3 days, 1:38:02 time: 0.2998 data_time: 0.0021 loss: 2.8411 03/10 01:43:27 - mmengine - INFO - Epoch(train) [43][ 900/1252] lr: 3.6020e-02 eta: 3 days, 1:37:29 time: 0.4206 data_time: 0.0017 loss: 2.7884 03/10 01:44:03 - mmengine - INFO - Epoch(train) [43][1000/1252] lr: 3.6020e-02 eta: 3 days, 1:36:19 time: 0.3420 data_time: 0.0019 loss: 2.8637 03/10 01:44:40 - mmengine - INFO - Epoch(train) [43][1100/1252] lr: 3.6020e-02 eta: 3 days, 1:35:35 time: 0.3471 data_time: 0.0017 loss: 2.8289 03/10 01:45:17 - mmengine - INFO - Epoch(train) [43][1200/1252] lr: 3.6020e-02 eta: 3 days, 1:34:44 time: 0.3732 data_time: 0.0024 loss: 2.9050 03/10 01:45:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:45:34 - mmengine - INFO - Saving checkpoint at 43 epochs 03/10 01:46:00 - mmengine - INFO - Epoch(val) [43][49/49] accuracy/top1: 38.0300 accuracy/top5: 63.1620 03/10 01:46:39 - mmengine - INFO - Epoch(train) [44][ 100/1252] lr: 3.6020e-02 eta: 3 days, 1:33:22 time: 0.4069 data_time: 0.0018 loss: 2.8565 03/10 01:47:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:47:15 - mmengine - INFO - Epoch(train) [44][ 200/1252] lr: 3.6020e-02 eta: 3 days, 1:32:22 time: 0.3444 data_time: 0.0021 loss: 2.7111 03/10 01:47:52 - mmengine - INFO - Epoch(train) [44][ 300/1252] lr: 3.6020e-02 eta: 3 days, 1:31:30 time: 0.3981 data_time: 0.0019 loss: 2.8282 03/10 01:48:30 - mmengine - INFO - Epoch(train) [44][ 400/1252] lr: 3.6020e-02 eta: 3 days, 1:30:46 time: 0.4381 data_time: 0.0020 loss: 2.8612 03/10 01:49:06 - mmengine - INFO - Epoch(train) [44][ 500/1252] lr: 3.6020e-02 eta: 3 days, 1:29:43 time: 0.4249 data_time: 0.0019 loss: 2.7638 03/10 01:49:43 - mmengine - INFO - Epoch(train) [44][ 600/1252] lr: 3.6020e-02 eta: 3 days, 1:28:57 time: 0.4150 data_time: 0.0021 loss: 2.9687 03/10 01:50:19 - mmengine - INFO - Epoch(train) [44][ 700/1252] lr: 3.6020e-02 eta: 3 days, 1:28:00 time: 0.3942 data_time: 0.0019 loss: 2.9707 03/10 01:50:56 - mmengine - INFO - Epoch(train) [44][ 800/1252] lr: 3.6020e-02 eta: 3 days, 1:27:01 time: 0.3085 data_time: 0.0020 loss: 2.8446 03/10 01:51:32 - mmengine - INFO - Epoch(train) [44][ 900/1252] lr: 3.6020e-02 eta: 3 days, 1:26:00 time: 0.3037 data_time: 0.0020 loss: 2.9000 03/10 01:52:09 - mmengine - INFO - Epoch(train) [44][1000/1252] lr: 3.6020e-02 eta: 3 days, 1:25:15 time: 0.3858 data_time: 0.0019 loss: 3.0399 03/10 01:52:47 - mmengine - INFO - Epoch(train) [44][1100/1252] lr: 3.6020e-02 eta: 3 days, 1:24:29 time: 0.4186 data_time: 0.0018 loss: 2.8887 03/10 01:53:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:53:23 - mmengine - INFO - Epoch(train) [44][1200/1252] lr: 3.6020e-02 eta: 3 days, 1:23:29 time: 0.3360 data_time: 0.0023 loss: 2.8966 03/10 01:53:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 01:53:42 - mmengine - INFO - Saving checkpoint at 44 epochs 03/10 01:54:06 - mmengine - INFO - Epoch(val) [44][49/49] accuracy/top1: 28.4720 accuracy/top5: 51.6200 03/10 01:54:46 - mmengine - INFO - Epoch(train) [45][ 100/1252] lr: 3.5048e-02 eta: 3 days, 1:22:37 time: 0.3927 data_time: 0.0017 loss: 2.8762 03/10 01:55:22 - mmengine - INFO - Epoch(train) [45][ 200/1252] lr: 3.5048e-02 eta: 3 days, 1:21:37 time: 0.2651 data_time: 0.0020 loss: 2.7810 03/10 01:55:59 - mmengine - INFO - Epoch(train) [45][ 300/1252] lr: 3.5048e-02 eta: 3 days, 1:20:44 time: 0.3103 data_time: 0.0023 loss: 2.8956 03/10 01:56:36 - mmengine - INFO - Epoch(train) [45][ 400/1252] lr: 3.5048e-02 eta: 3 days, 1:20:01 time: 0.3357 data_time: 0.0020 loss: 2.8332 03/10 01:57:13 - mmengine - INFO - Epoch(train) [45][ 500/1252] lr: 3.5048e-02 eta: 3 days, 1:19:02 time: 0.3489 data_time: 0.0021 loss: 2.8279 03/10 01:57:51 - mmengine - INFO - Epoch(train) [45][ 600/1252] lr: 3.5048e-02 eta: 3 days, 1:18:27 time: 0.3926 data_time: 0.0019 loss: 2.8614 03/10 01:58:26 - mmengine - INFO - Epoch(train) [45][ 700/1252] lr: 3.5048e-02 eta: 3 days, 1:17:10 time: 0.2980 data_time: 0.0018 loss: 2.8438 03/10 01:59:04 - mmengine - INFO - Epoch(train) [45][ 800/1252] lr: 3.5048e-02 eta: 3 days, 1:16:34 time: 0.4228 data_time: 0.0023 loss: 2.8008 03/10 01:59:40 - mmengine - INFO - Epoch(train) [45][ 900/1252] lr: 3.5048e-02 eta: 3 days, 1:15:31 time: 0.3365 data_time: 0.0018 loss: 2.8481 03/10 01:59:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:00:18 - mmengine - INFO - Epoch(train) [45][1000/1252] lr: 3.5048e-02 eta: 3 days, 1:14:59 time: 0.4107 data_time: 0.0016 loss: 2.9448 03/10 02:00:54 - mmengine - INFO - Epoch(train) [45][1100/1252] lr: 3.5048e-02 eta: 3 days, 1:13:57 time: 0.4178 data_time: 0.0020 loss: 2.9425 03/10 02:01:30 - mmengine - INFO - Epoch(train) [45][1200/1252] lr: 3.5048e-02 eta: 3 days, 1:12:58 time: 0.3020 data_time: 0.0020 loss: 2.8305 03/10 02:01:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:01:49 - mmengine - INFO - Saving checkpoint at 45 epochs 03/10 02:02:17 - mmengine - INFO - Epoch(val) [45][49/49] accuracy/top1: 38.9860 accuracy/top5: 63.8080 03/10 02:02:56 - mmengine - INFO - Epoch(train) [46][ 100/1252] lr: 3.5048e-02 eta: 3 days, 1:12:12 time: 0.3739 data_time: 0.0022 loss: 2.9047 03/10 02:03:33 - mmengine - INFO - Epoch(train) [46][ 200/1252] lr: 3.5048e-02 eta: 3 days, 1:11:20 time: 0.3647 data_time: 0.0023 loss: 2.7641 03/10 02:04:11 - mmengine - INFO - Epoch(train) [46][ 300/1252] lr: 3.5048e-02 eta: 3 days, 1:10:41 time: 0.4245 data_time: 0.0018 loss: 2.9469 03/10 02:04:47 - mmengine - INFO - Epoch(train) [46][ 400/1252] lr: 3.5048e-02 eta: 3 days, 1:09:46 time: 0.3587 data_time: 0.0017 loss: 2.8571 03/10 02:05:24 - mmengine - INFO - Epoch(train) [46][ 500/1252] lr: 3.5048e-02 eta: 3 days, 1:08:53 time: 0.3668 data_time: 0.0018 loss: 2.8588 03/10 02:06:00 - mmengine - INFO - Epoch(train) [46][ 600/1252] lr: 3.5048e-02 eta: 3 days, 1:07:53 time: 0.3748 data_time: 0.0019 loss: 2.9217 03/10 02:06:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:06:37 - mmengine - INFO - Epoch(train) [46][ 700/1252] lr: 3.5048e-02 eta: 3 days, 1:07:05 time: 0.3892 data_time: 0.0019 loss: 2.9063 03/10 02:07:15 - mmengine - INFO - Epoch(train) [46][ 800/1252] lr: 3.5048e-02 eta: 3 days, 1:06:18 time: 0.4363 data_time: 0.0017 loss: 2.7903 03/10 02:07:50 - mmengine - INFO - Epoch(train) [46][ 900/1252] lr: 3.5048e-02 eta: 3 days, 1:05:13 time: 0.2901 data_time: 0.0020 loss: 2.8153 03/10 02:08:28 - mmengine - INFO - Epoch(train) [46][1000/1252] lr: 3.5048e-02 eta: 3 days, 1:04:28 time: 0.3066 data_time: 0.0018 loss: 2.8510 03/10 02:09:05 - mmengine - INFO - Epoch(train) [46][1100/1252] lr: 3.5048e-02 eta: 3 days, 1:03:43 time: 0.3421 data_time: 0.0020 loss: 2.8030 03/10 02:09:42 - mmengine - INFO - Epoch(train) [46][1200/1252] lr: 3.5048e-02 eta: 3 days, 1:02:58 time: 0.4209 data_time: 0.0019 loss: 2.8293 03/10 02:10:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:10:00 - mmengine - INFO - Saving checkpoint at 46 epochs 03/10 02:10:27 - mmengine - INFO - Epoch(val) [46][49/49] accuracy/top1: 39.5700 accuracy/top5: 64.6140 03/10 02:11:06 - mmengine - INFO - Epoch(train) [47][ 100/1252] lr: 3.4102e-02 eta: 3 days, 1:01:56 time: 0.4107 data_time: 0.0019 loss: 2.8445 03/10 02:11:42 - mmengine - INFO - Epoch(train) [47][ 200/1252] lr: 3.4102e-02 eta: 3 days, 1:00:46 time: 0.2805 data_time: 0.0024 loss: 2.6310 03/10 02:12:19 - mmengine - INFO - Epoch(train) [47][ 300/1252] lr: 3.4102e-02 eta: 3 days, 0:59:57 time: 0.3442 data_time: 0.0018 loss: 2.9382 03/10 02:12:57 - mmengine - INFO - Epoch(train) [47][ 400/1252] lr: 3.4102e-02 eta: 3 days, 0:59:21 time: 0.3933 data_time: 0.0016 loss: 2.8377 03/10 02:12:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:13:32 - mmengine - INFO - Epoch(train) [47][ 500/1252] lr: 3.4102e-02 eta: 3 days, 0:58:12 time: 0.3597 data_time: 0.0020 loss: 2.7585 03/10 02:14:09 - mmengine - INFO - Epoch(train) [47][ 600/1252] lr: 3.4102e-02 eta: 3 days, 0:57:23 time: 0.3916 data_time: 0.0019 loss: 2.8247 03/10 02:14:46 - mmengine - INFO - Epoch(train) [47][ 700/1252] lr: 3.4102e-02 eta: 3 days, 0:56:30 time: 0.3198 data_time: 0.0020 loss: 2.7919 03/10 02:15:23 - mmengine - INFO - Epoch(train) [47][ 800/1252] lr: 3.4102e-02 eta: 3 days, 0:55:49 time: 0.3715 data_time: 0.0028 loss: 2.7954 03/10 02:15:59 - mmengine - INFO - Epoch(train) [47][ 900/1252] lr: 3.4102e-02 eta: 3 days, 0:54:50 time: 0.2985 data_time: 0.0018 loss: 2.6508 03/10 02:16:37 - mmengine - INFO - Epoch(train) [47][1000/1252] lr: 3.4102e-02 eta: 3 days, 0:54:09 time: 0.3736 data_time: 0.0017 loss: 2.8585 03/10 02:17:14 - mmengine - INFO - Epoch(train) [47][1100/1252] lr: 3.4102e-02 eta: 3 days, 0:53:14 time: 0.3039 data_time: 0.0016 loss: 2.8708 03/10 02:17:51 - mmengine - INFO - Epoch(train) [47][1200/1252] lr: 3.4102e-02 eta: 3 days, 0:52:29 time: 0.4384 data_time: 0.0018 loss: 2.8693 03/10 02:18:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:18:10 - mmengine - INFO - Saving checkpoint at 47 epochs 03/10 02:18:33 - mmengine - INFO - Epoch(val) [47][49/49] accuracy/top1: 39.8500 accuracy/top5: 65.0560 03/10 02:19:12 - mmengine - INFO - Epoch(train) [48][ 100/1252] lr: 3.4102e-02 eta: 3 days, 0:51:29 time: 0.3547 data_time: 0.0022 loss: 2.7726 03/10 02:19:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:19:50 - mmengine - INFO - Epoch(train) [48][ 200/1252] lr: 3.4102e-02 eta: 3 days, 0:50:54 time: 0.3859 data_time: 0.0018 loss: 2.7988 03/10 02:20:27 - mmengine - INFO - Epoch(train) [48][ 300/1252] lr: 3.4102e-02 eta: 3 days, 0:50:00 time: 0.3946 data_time: 0.0018 loss: 2.7242 03/10 02:21:04 - mmengine - INFO - Epoch(train) [48][ 400/1252] lr: 3.4102e-02 eta: 3 days, 0:49:06 time: 0.3988 data_time: 0.0017 loss: 2.7422 03/10 02:21:40 - mmengine - INFO - Epoch(train) [48][ 500/1252] lr: 3.4102e-02 eta: 3 days, 0:48:16 time: 0.2834 data_time: 0.0020 loss: 2.9356 03/10 02:22:18 - mmengine - INFO - Epoch(train) [48][ 600/1252] lr: 3.4102e-02 eta: 3 days, 0:47:30 time: 0.3121 data_time: 0.0020 loss: 2.8333 03/10 02:22:55 - mmengine - INFO - Epoch(train) [48][ 700/1252] lr: 3.4102e-02 eta: 3 days, 0:46:44 time: 0.4154 data_time: 0.0020 loss: 2.6716 03/10 02:23:32 - mmengine - INFO - Epoch(train) [48][ 800/1252] lr: 3.4102e-02 eta: 3 days, 0:45:54 time: 0.3722 data_time: 0.0018 loss: 2.9873 03/10 02:24:09 - mmengine - INFO - Epoch(train) [48][ 900/1252] lr: 3.4102e-02 eta: 3 days, 0:45:10 time: 0.3530 data_time: 0.0019 loss: 2.8265 03/10 02:24:45 - mmengine - INFO - Epoch(train) [48][1000/1252] lr: 3.4102e-02 eta: 3 days, 0:44:12 time: 0.3231 data_time: 0.0023 loss: 2.7920 03/10 02:25:23 - mmengine - INFO - Epoch(train) [48][1100/1252] lr: 3.4102e-02 eta: 3 days, 0:43:31 time: 0.3797 data_time: 0.0019 loss: 2.7585 03/10 02:25:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:26:00 - mmengine - INFO - Epoch(train) [48][1200/1252] lr: 3.4102e-02 eta: 3 days, 0:42:40 time: 0.4659 data_time: 0.0016 loss: 2.8475 03/10 02:26:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:26:17 - mmengine - INFO - Saving checkpoint at 48 epochs 03/10 02:26:44 - mmengine - INFO - Epoch(val) [48][49/49] accuracy/top1: 42.6940 accuracy/top5: 68.1780 03/10 02:27:24 - mmengine - INFO - Epoch(train) [49][ 100/1252] lr: 3.3181e-02 eta: 3 days, 0:41:41 time: 0.4561 data_time: 0.0018 loss: 2.6979 03/10 02:28:01 - mmengine - INFO - Epoch(train) [49][ 200/1252] lr: 3.3181e-02 eta: 3 days, 0:40:47 time: 0.4000 data_time: 0.0019 loss: 2.7378 03/10 02:28:37 - mmengine - INFO - Epoch(train) [49][ 300/1252] lr: 3.3181e-02 eta: 3 days, 0:39:51 time: 0.3822 data_time: 0.0021 loss: 2.7817 03/10 02:29:14 - mmengine - INFO - Epoch(train) [49][ 400/1252] lr: 3.3181e-02 eta: 3 days, 0:39:03 time: 0.3288 data_time: 0.0021 loss: 2.7091 03/10 02:29:50 - mmengine - INFO - Epoch(train) [49][ 500/1252] lr: 3.3181e-02 eta: 3 days, 0:38:06 time: 0.2617 data_time: 0.0020 loss: 2.7703 03/10 02:30:29 - mmengine - INFO - Epoch(train) [49][ 600/1252] lr: 3.3181e-02 eta: 3 days, 0:37:39 time: 0.3848 data_time: 0.0018 loss: 2.6860 03/10 02:31:05 - mmengine - INFO - Epoch(train) [49][ 700/1252] lr: 3.3181e-02 eta: 3 days, 0:36:37 time: 0.3792 data_time: 0.0026 loss: 2.8347 03/10 02:31:42 - mmengine - INFO - Epoch(train) [49][ 800/1252] lr: 3.3181e-02 eta: 3 days, 0:35:53 time: 0.3816 data_time: 0.0021 loss: 2.8502 03/10 02:32:19 - mmengine - INFO - Epoch(train) [49][ 900/1252] lr: 3.3181e-02 eta: 3 days, 0:35:00 time: 0.3823 data_time: 0.0020 loss: 2.8342 03/10 02:32:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:32:56 - mmengine - INFO - Epoch(train) [49][1000/1252] lr: 3.3181e-02 eta: 3 days, 0:34:15 time: 0.4031 data_time: 0.0019 loss: 2.8924 03/10 02:33:32 - mmengine - INFO - Epoch(train) [49][1100/1252] lr: 3.3181e-02 eta: 3 days, 0:33:21 time: 0.3205 data_time: 0.0018 loss: 2.8831 03/10 02:34:10 - mmengine - INFO - Epoch(train) [49][1200/1252] lr: 3.3181e-02 eta: 3 days, 0:32:37 time: 0.3702 data_time: 0.0018 loss: 2.8251 03/10 02:34:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:34:28 - mmengine - INFO - Saving checkpoint at 49 epochs 03/10 02:34:54 - mmengine - INFO - Epoch(val) [49][49/49] accuracy/top1: 42.5680 accuracy/top5: 68.2580 03/10 02:35:33 - mmengine - INFO - Epoch(train) [50][ 100/1252] lr: 3.3181e-02 eta: 3 days, 0:31:28 time: 0.3809 data_time: 0.0020 loss: 2.6395 03/10 02:36:09 - mmengine - INFO - Epoch(train) [50][ 200/1252] lr: 3.3181e-02 eta: 3 days, 0:30:33 time: 0.3361 data_time: 0.0024 loss: 2.8942 03/10 02:36:47 - mmengine - INFO - Epoch(train) [50][ 300/1252] lr: 3.3181e-02 eta: 3 days, 0:29:50 time: 0.4110 data_time: 0.0022 loss: 2.8485 03/10 02:37:24 - mmengine - INFO - Epoch(train) [50][ 400/1252] lr: 3.3181e-02 eta: 3 days, 0:29:02 time: 0.3221 data_time: 0.0021 loss: 2.8551 03/10 02:38:01 - mmengine - INFO - Epoch(train) [50][ 500/1252] lr: 3.3181e-02 eta: 3 days, 0:28:14 time: 0.4116 data_time: 0.0018 loss: 2.7636 03/10 02:38:37 - mmengine - INFO - Epoch(train) [50][ 600/1252] lr: 3.3181e-02 eta: 3 days, 0:27:20 time: 0.3509 data_time: 0.0019 loss: 2.8261 03/10 02:38:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:39:14 - mmengine - INFO - Epoch(train) [50][ 700/1252] lr: 3.3181e-02 eta: 3 days, 0:26:30 time: 0.4206 data_time: 0.0016 loss: 2.8020 03/10 02:39:51 - mmengine - INFO - Epoch(train) [50][ 800/1252] lr: 3.3181e-02 eta: 3 days, 0:25:47 time: 0.2966 data_time: 0.0020 loss: 2.7939 03/10 02:40:28 - mmengine - INFO - Epoch(train) [50][ 900/1252] lr: 3.3181e-02 eta: 3 days, 0:24:53 time: 0.3619 data_time: 0.0019 loss: 2.8330 03/10 02:41:05 - mmengine - INFO - Epoch(train) [50][1000/1252] lr: 3.3181e-02 eta: 3 days, 0:24:04 time: 0.2726 data_time: 0.0023 loss: 2.7860 03/10 02:41:42 - mmengine - INFO - Epoch(train) [50][1100/1252] lr: 3.3181e-02 eta: 3 days, 0:23:26 time: 0.4527 data_time: 0.0022 loss: 2.7039 03/10 02:42:18 - mmengine - INFO - Epoch(train) [50][1200/1252] lr: 3.3181e-02 eta: 3 days, 0:22:28 time: 0.3617 data_time: 0.0016 loss: 2.8237 03/10 02:42:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:42:37 - mmengine - INFO - Saving checkpoint at 50 epochs 03/10 02:43:02 - mmengine - INFO - Epoch(val) [50][49/49] accuracy/top1: 39.5580 accuracy/top5: 65.0040 03/10 02:43:42 - mmengine - INFO - Epoch(train) [51][ 100/1252] lr: 3.2285e-02 eta: 3 days, 0:21:36 time: 0.3868 data_time: 0.0021 loss: 2.8601 03/10 02:44:18 - mmengine - INFO - Epoch(train) [51][ 200/1252] lr: 3.2285e-02 eta: 3 days, 0:20:40 time: 0.3402 data_time: 0.0019 loss: 2.8266 03/10 02:44:55 - mmengine - INFO - Epoch(train) [51][ 300/1252] lr: 3.2285e-02 eta: 3 days, 0:19:51 time: 0.3498 data_time: 0.0020 loss: 2.7257 03/10 02:45:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:45:32 - mmengine - INFO - Epoch(train) [51][ 400/1252] lr: 3.2285e-02 eta: 3 days, 0:19:08 time: 0.3990 data_time: 0.0019 loss: 2.7889 03/10 02:46:09 - mmengine - INFO - Epoch(train) [51][ 500/1252] lr: 3.2285e-02 eta: 3 days, 0:18:17 time: 0.2965 data_time: 0.0020 loss: 2.7294 03/10 02:46:46 - mmengine - INFO - Epoch(train) [51][ 600/1252] lr: 3.2285e-02 eta: 3 days, 0:17:34 time: 0.2869 data_time: 0.0024 loss: 2.7925 03/10 02:47:22 - mmengine - INFO - Epoch(train) [51][ 700/1252] lr: 3.2285e-02 eta: 3 days, 0:16:41 time: 0.3880 data_time: 0.0018 loss: 2.6533 03/10 02:48:00 - mmengine - INFO - Epoch(train) [51][ 800/1252] lr: 3.2285e-02 eta: 3 days, 0:16:00 time: 0.3873 data_time: 0.0019 loss: 2.8190 03/10 02:48:36 - mmengine - INFO - Epoch(train) [51][ 900/1252] lr: 3.2285e-02 eta: 3 days, 0:15:07 time: 0.3170 data_time: 0.0025 loss: 2.8455 03/10 02:49:13 - mmengine - INFO - Epoch(train) [51][1000/1252] lr: 3.2285e-02 eta: 3 days, 0:14:17 time: 0.3765 data_time: 0.0031 loss: 2.7719 03/10 02:49:50 - mmengine - INFO - Epoch(train) [51][1100/1252] lr: 3.2285e-02 eta: 3 days, 0:13:30 time: 0.2786 data_time: 0.0019 loss: 2.7756 03/10 02:50:27 - mmengine - INFO - Epoch(train) [51][1200/1252] lr: 3.2285e-02 eta: 3 days, 0:12:43 time: 0.3341 data_time: 0.0018 loss: 2.7893 03/10 02:50:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:50:45 - mmengine - INFO - Saving checkpoint at 51 epochs 03/10 02:51:11 - mmengine - INFO - Epoch(val) [51][49/49] accuracy/top1: 36.7880 accuracy/top5: 62.0360 03/10 02:51:49 - mmengine - INFO - Epoch(train) [52][ 100/1252] lr: 3.2285e-02 eta: 3 days, 0:11:31 time: 0.3256 data_time: 0.0023 loss: 2.6755 03/10 02:52:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:52:26 - mmengine - INFO - Epoch(train) [52][ 200/1252] lr: 3.2285e-02 eta: 3 days, 0:10:43 time: 0.3764 data_time: 0.0023 loss: 2.7815 03/10 02:53:03 - mmengine - INFO - Epoch(train) [52][ 300/1252] lr: 3.2285e-02 eta: 3 days, 0:09:53 time: 0.3782 data_time: 0.0018 loss: 2.7291 03/10 02:53:39 - mmengine - INFO - Epoch(train) [52][ 400/1252] lr: 3.2285e-02 eta: 3 days, 0:09:04 time: 0.4021 data_time: 0.0020 loss: 2.8912 03/10 02:54:17 - mmengine - INFO - Epoch(train) [52][ 500/1252] lr: 3.2285e-02 eta: 3 days, 0:08:22 time: 0.4416 data_time: 0.0017 loss: 2.8196 03/10 02:54:53 - mmengine - INFO - Epoch(train) [52][ 600/1252] lr: 3.2285e-02 eta: 3 days, 0:07:21 time: 0.2810 data_time: 0.0021 loss: 2.7970 03/10 02:55:28 - mmengine - INFO - Epoch(train) [52][ 700/1252] lr: 3.2285e-02 eta: 3 days, 0:06:24 time: 0.3938 data_time: 0.0017 loss: 2.9452 03/10 02:56:06 - mmengine - INFO - Epoch(train) [52][ 800/1252] lr: 3.2285e-02 eta: 3 days, 0:05:44 time: 0.4439 data_time: 0.0016 loss: 2.7261 03/10 02:56:42 - mmengine - INFO - Epoch(train) [52][ 900/1252] lr: 3.2285e-02 eta: 3 days, 0:04:50 time: 0.3770 data_time: 0.0018 loss: 2.8669 03/10 02:57:19 - mmengine - INFO - Epoch(train) [52][1000/1252] lr: 3.2285e-02 eta: 3 days, 0:04:04 time: 0.3324 data_time: 0.0020 loss: 2.7615 03/10 02:57:56 - mmengine - INFO - Epoch(train) [52][1100/1252] lr: 3.2285e-02 eta: 3 days, 0:03:17 time: 0.3851 data_time: 0.0019 loss: 2.8038 03/10 02:58:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:58:33 - mmengine - INFO - Epoch(train) [52][1200/1252] lr: 3.2285e-02 eta: 3 days, 0:02:28 time: 0.4025 data_time: 0.0022 loss: 2.8849 03/10 02:58:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 02:58:51 - mmengine - INFO - Saving checkpoint at 52 epochs 03/10 02:59:16 - mmengine - INFO - Epoch(val) [52][49/49] accuracy/top1: 39.7700 accuracy/top5: 65.1040 03/10 02:59:56 - mmengine - INFO - Epoch(train) [53][ 100/1252] lr: 3.1413e-02 eta: 3 days, 0:01:33 time: 0.3876 data_time: 0.0020 loss: 2.7199 03/10 03:00:32 - mmengine - INFO - Epoch(train) [53][ 200/1252] lr: 3.1413e-02 eta: 3 days, 0:00:42 time: 0.3892 data_time: 0.0025 loss: 2.8076 03/10 03:01:08 - mmengine - INFO - Epoch(train) [53][ 300/1252] lr: 3.1413e-02 eta: 2 days, 23:59:45 time: 0.3392 data_time: 0.0020 loss: 2.6828 03/10 03:01:45 - mmengine - INFO - Epoch(train) [53][ 400/1252] lr: 3.1413e-02 eta: 2 days, 23:59:00 time: 0.2761 data_time: 0.0026 loss: 2.7341 03/10 03:02:23 - mmengine - INFO - Epoch(train) [53][ 500/1252] lr: 3.1413e-02 eta: 2 days, 23:58:16 time: 0.3324 data_time: 0.0020 loss: 2.8153 03/10 03:03:00 - mmengine - INFO - Epoch(train) [53][ 600/1252] lr: 3.1413e-02 eta: 2 days, 23:57:29 time: 0.3704 data_time: 0.0020 loss: 2.7332 03/10 03:03:36 - mmengine - INFO - Epoch(train) [53][ 700/1252] lr: 3.1413e-02 eta: 2 days, 23:56:41 time: 0.3691 data_time: 0.0019 loss: 2.7492 03/10 03:04:15 - mmengine - INFO - Epoch(train) [53][ 800/1252] lr: 3.1413e-02 eta: 2 days, 23:56:07 time: 0.4426 data_time: 0.0019 loss: 2.9599 03/10 03:04:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:04:51 - mmengine - INFO - Epoch(train) [53][ 900/1252] lr: 3.1413e-02 eta: 2 days, 23:55:18 time: 0.3357 data_time: 0.0020 loss: 2.8215 03/10 03:05:28 - mmengine - INFO - Epoch(train) [53][1000/1252] lr: 3.1413e-02 eta: 2 days, 23:54:27 time: 0.3970 data_time: 0.0019 loss: 2.8876 03/10 03:06:04 - mmengine - INFO - Epoch(train) [53][1100/1252] lr: 3.1413e-02 eta: 2 days, 23:53:37 time: 0.3650 data_time: 0.0021 loss: 2.7743 03/10 03:06:41 - mmengine - INFO - Epoch(train) [53][1200/1252] lr: 3.1413e-02 eta: 2 days, 23:52:50 time: 0.4056 data_time: 0.0020 loss: 2.8106 03/10 03:06:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:07:00 - mmengine - INFO - Saving checkpoint at 53 epochs 03/10 03:07:26 - mmengine - INFO - Epoch(val) [53][49/49] accuracy/top1: 44.6000 accuracy/top5: 70.0800 03/10 03:08:05 - mmengine - INFO - Epoch(train) [54][ 100/1252] lr: 3.1413e-02 eta: 2 days, 23:51:45 time: 0.3602 data_time: 0.0021 loss: 2.6968 03/10 03:08:42 - mmengine - INFO - Epoch(train) [54][ 200/1252] lr: 3.1413e-02 eta: 2 days, 23:51:04 time: 0.3756 data_time: 0.0019 loss: 2.7600 03/10 03:09:19 - mmengine - INFO - Epoch(train) [54][ 300/1252] lr: 3.1413e-02 eta: 2 days, 23:50:15 time: 0.3654 data_time: 0.0021 loss: 2.7116 03/10 03:09:56 - mmengine - INFO - Epoch(train) [54][ 400/1252] lr: 3.1413e-02 eta: 2 days, 23:49:32 time: 0.2954 data_time: 0.0020 loss: 2.7150 03/10 03:10:34 - mmengine - INFO - Epoch(train) [54][ 500/1252] lr: 3.1413e-02 eta: 2 days, 23:48:51 time: 0.4763 data_time: 0.0019 loss: 2.7245 03/10 03:11:09 - mmengine - INFO - Epoch(train) [54][ 600/1252] lr: 3.1413e-02 eta: 2 days, 23:47:50 time: 0.3031 data_time: 0.0018 loss: 2.8433 03/10 03:11:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:11:47 - mmengine - INFO - Epoch(train) [54][ 700/1252] lr: 3.1413e-02 eta: 2 days, 23:47:08 time: 0.4099 data_time: 0.0018 loss: 2.7412 03/10 03:12:23 - mmengine - INFO - Epoch(train) [54][ 800/1252] lr: 3.1413e-02 eta: 2 days, 23:46:19 time: 0.4095 data_time: 0.0018 loss: 2.7764 03/10 03:13:01 - mmengine - INFO - Epoch(train) [54][ 900/1252] lr: 3.1413e-02 eta: 2 days, 23:45:40 time: 0.5001 data_time: 0.0018 loss: 2.8025 03/10 03:13:37 - mmengine - INFO - Epoch(train) [54][1000/1252] lr: 3.1413e-02 eta: 2 days, 23:44:37 time: 0.3149 data_time: 0.0019 loss: 2.8216 03/10 03:14:15 - mmengine - INFO - Epoch(train) [54][1100/1252] lr: 3.1413e-02 eta: 2 days, 23:44:02 time: 0.2968 data_time: 0.0020 loss: 2.7795 03/10 03:14:52 - mmengine - INFO - Epoch(train) [54][1200/1252] lr: 3.1413e-02 eta: 2 days, 23:43:23 time: 0.3984 data_time: 0.0020 loss: 2.7760 03/10 03:15:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:15:10 - mmengine - INFO - Saving checkpoint at 54 epochs 03/10 03:15:36 - mmengine - INFO - Epoch(val) [54][49/49] accuracy/top1: 40.7640 accuracy/top5: 65.9920 03/10 03:16:16 - mmengine - INFO - Epoch(train) [55][ 100/1252] lr: 3.0565e-02 eta: 2 days, 23:42:30 time: 0.4172 data_time: 0.0019 loss: 2.6687 03/10 03:16:52 - mmengine - INFO - Epoch(train) [55][ 200/1252] lr: 3.0565e-02 eta: 2 days, 23:41:36 time: 0.3300 data_time: 0.0018 loss: 2.7452 03/10 03:17:29 - mmengine - INFO - Epoch(train) [55][ 300/1252] lr: 3.0565e-02 eta: 2 days, 23:40:50 time: 0.3023 data_time: 0.0019 loss: 2.7774 03/10 03:18:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:18:06 - mmengine - INFO - Epoch(train) [55][ 400/1252] lr: 3.0565e-02 eta: 2 days, 23:40:07 time: 0.3972 data_time: 0.0021 loss: 2.7641 03/10 03:18:44 - mmengine - INFO - Epoch(train) [55][ 500/1252] lr: 3.0565e-02 eta: 2 days, 23:39:23 time: 0.4023 data_time: 0.0019 loss: 2.7516 03/10 03:19:20 - mmengine - INFO - Epoch(train) [55][ 600/1252] lr: 3.0565e-02 eta: 2 days, 23:38:31 time: 0.3700 data_time: 0.0019 loss: 2.7964 03/10 03:19:58 - mmengine - INFO - Epoch(train) [55][ 700/1252] lr: 3.0565e-02 eta: 2 days, 23:37:54 time: 0.4575 data_time: 0.0019 loss: 2.8340 03/10 03:20:34 - mmengine - INFO - Epoch(train) [55][ 800/1252] lr: 3.0565e-02 eta: 2 days, 23:37:04 time: 0.3128 data_time: 0.0023 loss: 2.6126 03/10 03:21:11 - mmengine - INFO - Epoch(train) [55][ 900/1252] lr: 3.0565e-02 eta: 2 days, 23:36:16 time: 0.4267 data_time: 0.0020 loss: 2.7672 03/10 03:21:47 - mmengine - INFO - Epoch(train) [55][1000/1252] lr: 3.0565e-02 eta: 2 days, 23:35:18 time: 0.3445 data_time: 0.0019 loss: 2.6468 03/10 03:22:25 - mmengine - INFO - Epoch(train) [55][1100/1252] lr: 3.0565e-02 eta: 2 days, 23:34:41 time: 0.3961 data_time: 0.0020 loss: 2.7247 03/10 03:23:02 - mmengine - INFO - Epoch(train) [55][1200/1252] lr: 3.0565e-02 eta: 2 days, 23:33:58 time: 0.4214 data_time: 0.0018 loss: 2.7967 03/10 03:23:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:23:20 - mmengine - INFO - Saving checkpoint at 55 epochs 03/10 03:23:44 - mmengine - INFO - Epoch(val) [55][49/49] accuracy/top1: 44.7300 accuracy/top5: 69.9440 03/10 03:24:24 - mmengine - INFO - Epoch(train) [56][ 100/1252] lr: 3.0565e-02 eta: 2 days, 23:33:00 time: 0.3410 data_time: 0.0021 loss: 2.7054 03/10 03:24:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:25:02 - mmengine - INFO - Epoch(train) [56][ 200/1252] lr: 3.0565e-02 eta: 2 days, 23:32:26 time: 0.3206 data_time: 0.0020 loss: 2.7144 03/10 03:25:38 - mmengine - INFO - Epoch(train) [56][ 300/1252] lr: 3.0565e-02 eta: 2 days, 23:31:29 time: 0.2957 data_time: 0.0020 loss: 2.7107 03/10 03:26:15 - mmengine - INFO - Epoch(train) [56][ 400/1252] lr: 3.0565e-02 eta: 2 days, 23:30:49 time: 0.2845 data_time: 0.0020 loss: 2.7286 03/10 03:26:52 - mmengine - INFO - Epoch(train) [56][ 500/1252] lr: 3.0565e-02 eta: 2 days, 23:30:00 time: 0.3217 data_time: 0.0019 loss: 2.8851 03/10 03:27:30 - mmengine - INFO - Epoch(train) [56][ 600/1252] lr: 3.0565e-02 eta: 2 days, 23:29:28 time: 0.3291 data_time: 0.0020 loss: 2.7071 03/10 03:28:06 - mmengine - INFO - Epoch(train) [56][ 700/1252] lr: 3.0565e-02 eta: 2 days, 23:28:27 time: 0.3456 data_time: 0.0021 loss: 2.6707 03/10 03:28:44 - mmengine - INFO - Epoch(train) [56][ 800/1252] lr: 3.0565e-02 eta: 2 days, 23:27:51 time: 0.3913 data_time: 0.0020 loss: 2.7430 03/10 03:29:20 - mmengine - INFO - Epoch(train) [56][ 900/1252] lr: 3.0565e-02 eta: 2 days, 23:26:56 time: 0.3465 data_time: 0.0018 loss: 2.8453 03/10 03:29:57 - mmengine - INFO - Epoch(train) [56][1000/1252] lr: 3.0565e-02 eta: 2 days, 23:26:10 time: 0.3342 data_time: 0.0018 loss: 2.7793 03/10 03:30:34 - mmengine - INFO - Epoch(train) [56][1100/1252] lr: 3.0565e-02 eta: 2 days, 23:25:28 time: 0.3377 data_time: 0.0017 loss: 2.7521 03/10 03:30:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:31:11 - mmengine - INFO - Epoch(train) [56][1200/1252] lr: 3.0565e-02 eta: 2 days, 23:24:42 time: 0.3765 data_time: 0.0019 loss: 2.7405 03/10 03:31:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:31:29 - mmengine - INFO - Saving checkpoint at 56 epochs 03/10 03:31:55 - mmengine - INFO - Epoch(val) [56][49/49] accuracy/top1: 44.0000 accuracy/top5: 69.6140 03/10 03:32:35 - mmengine - INFO - Epoch(train) [57][ 100/1252] lr: 2.9740e-02 eta: 2 days, 23:23:45 time: 0.2744 data_time: 0.0019 loss: 2.6435 03/10 03:33:11 - mmengine - INFO - Epoch(train) [57][ 200/1252] lr: 2.9740e-02 eta: 2 days, 23:22:56 time: 0.3146 data_time: 0.0024 loss: 2.8652 03/10 03:33:48 - mmengine - INFO - Epoch(train) [57][ 300/1252] lr: 2.9740e-02 eta: 2 days, 23:22:10 time: 0.4107 data_time: 0.0020 loss: 2.6215 03/10 03:34:25 - mmengine - INFO - Epoch(train) [57][ 400/1252] lr: 2.9740e-02 eta: 2 days, 23:21:23 time: 0.4049 data_time: 0.0022 loss: 2.5985 03/10 03:35:03 - mmengine - INFO - Epoch(train) [57][ 500/1252] lr: 2.9740e-02 eta: 2 days, 23:20:46 time: 0.4031 data_time: 0.0021 loss: 2.6818 03/10 03:35:39 - mmengine - INFO - Epoch(train) [57][ 600/1252] lr: 2.9740e-02 eta: 2 days, 23:19:52 time: 0.3111 data_time: 0.0017 loss: 2.6353 03/10 03:36:16 - mmengine - INFO - Epoch(train) [57][ 700/1252] lr: 2.9740e-02 eta: 2 days, 23:19:09 time: 0.3595 data_time: 0.0018 loss: 2.6639 03/10 03:36:54 - mmengine - INFO - Epoch(train) [57][ 800/1252] lr: 2.9740e-02 eta: 2 days, 23:18:36 time: 0.3979 data_time: 0.0019 loss: 2.7451 03/10 03:37:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:37:30 - mmengine - INFO - Epoch(train) [57][ 900/1252] lr: 2.9740e-02 eta: 2 days, 23:17:42 time: 0.3978 data_time: 0.0018 loss: 2.8684 03/10 03:38:07 - mmengine - INFO - Epoch(train) [57][1000/1252] lr: 2.9740e-02 eta: 2 days, 23:16:50 time: 0.3098 data_time: 0.0020 loss: 2.7295 03/10 03:38:44 - mmengine - INFO - Epoch(train) [57][1100/1252] lr: 2.9740e-02 eta: 2 days, 23:16:13 time: 0.4228 data_time: 0.0018 loss: 2.7718 03/10 03:39:21 - mmengine - INFO - Epoch(train) [57][1200/1252] lr: 2.9740e-02 eta: 2 days, 23:15:27 time: 0.4092 data_time: 0.0019 loss: 2.6783 03/10 03:39:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:39:39 - mmengine - INFO - Saving checkpoint at 57 epochs 03/10 03:40:05 - mmengine - INFO - Epoch(val) [57][49/49] accuracy/top1: 38.7080 accuracy/top5: 63.5960 03/10 03:40:44 - mmengine - INFO - Epoch(train) [58][ 100/1252] lr: 2.9740e-02 eta: 2 days, 23:14:25 time: 0.3362 data_time: 0.0021 loss: 2.6685 03/10 03:41:22 - mmengine - INFO - Epoch(train) [58][ 200/1252] lr: 2.9740e-02 eta: 2 days, 23:13:46 time: 0.4110 data_time: 0.0019 loss: 2.7862 03/10 03:41:58 - mmengine - INFO - Epoch(train) [58][ 300/1252] lr: 2.9740e-02 eta: 2 days, 23:12:56 time: 0.4164 data_time: 0.0019 loss: 2.7858 03/10 03:42:35 - mmengine - INFO - Epoch(train) [58][ 400/1252] lr: 2.9740e-02 eta: 2 days, 23:12:09 time: 0.3234 data_time: 0.0021 loss: 2.7610 03/10 03:43:12 - mmengine - INFO - Epoch(train) [58][ 500/1252] lr: 2.9740e-02 eta: 2 days, 23:11:26 time: 0.3058 data_time: 0.0017 loss: 2.5707 03/10 03:43:50 - mmengine - INFO - Epoch(train) [58][ 600/1252] lr: 2.9740e-02 eta: 2 days, 23:10:47 time: 0.3484 data_time: 0.0020 loss: 2.6242 03/10 03:44:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:44:26 - mmengine - INFO - Epoch(train) [58][ 700/1252] lr: 2.9740e-02 eta: 2 days, 23:09:56 time: 0.4119 data_time: 0.0024 loss: 2.7390 03/10 03:45:03 - mmengine - INFO - Epoch(train) [58][ 800/1252] lr: 2.9740e-02 eta: 2 days, 23:09:13 time: 0.3908 data_time: 0.0019 loss: 2.8260 03/10 03:45:40 - mmengine - INFO - Epoch(train) [58][ 900/1252] lr: 2.9740e-02 eta: 2 days, 23:08:27 time: 0.3856 data_time: 0.0018 loss: 2.8740 03/10 03:46:17 - mmengine - INFO - Epoch(train) [58][1000/1252] lr: 2.9740e-02 eta: 2 days, 23:07:41 time: 0.4064 data_time: 0.0019 loss: 2.6900 03/10 03:46:55 - mmengine - INFO - Epoch(train) [58][1100/1252] lr: 2.9740e-02 eta: 2 days, 23:07:02 time: 0.3815 data_time: 0.0025 loss: 2.8530 03/10 03:47:31 - mmengine - INFO - Epoch(train) [58][1200/1252] lr: 2.9740e-02 eta: 2 days, 23:06:15 time: 0.3850 data_time: 0.0021 loss: 2.7494 03/10 03:47:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:47:49 - mmengine - INFO - Saving checkpoint at 58 epochs 03/10 03:48:15 - mmengine - INFO - Epoch(val) [58][49/49] accuracy/top1: 44.6220 accuracy/top5: 69.9960 03/10 03:48:54 - mmengine - INFO - Epoch(train) [59][ 100/1252] lr: 2.8937e-02 eta: 2 days, 23:05:13 time: 0.3684 data_time: 0.0021 loss: 2.7410 03/10 03:49:31 - mmengine - INFO - Epoch(train) [59][ 200/1252] lr: 2.8937e-02 eta: 2 days, 23:04:28 time: 0.4108 data_time: 0.0019 loss: 2.7431 03/10 03:50:08 - mmengine - INFO - Epoch(train) [59][ 300/1252] lr: 2.8937e-02 eta: 2 days, 23:03:42 time: 0.3613 data_time: 0.0019 loss: 2.6171 03/10 03:50:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:50:46 - mmengine - INFO - Epoch(train) [59][ 400/1252] lr: 2.8937e-02 eta: 2 days, 23:03:01 time: 0.4071 data_time: 0.0018 loss: 2.7064 03/10 03:51:21 - mmengine - INFO - Epoch(train) [59][ 500/1252] lr: 2.8937e-02 eta: 2 days, 23:02:05 time: 0.3408 data_time: 0.0020 loss: 2.7006 03/10 03:51:58 - mmengine - INFO - Epoch(train) [59][ 600/1252] lr: 2.8937e-02 eta: 2 days, 23:01:19 time: 0.3164 data_time: 0.0020 loss: 2.8604 03/10 03:52:35 - mmengine - INFO - Epoch(train) [59][ 700/1252] lr: 2.8937e-02 eta: 2 days, 23:00:34 time: 0.3157 data_time: 0.0018 loss: 2.6428 03/10 03:53:12 - mmengine - INFO - Epoch(train) [59][ 800/1252] lr: 2.8937e-02 eta: 2 days, 22:59:48 time: 0.3740 data_time: 0.0022 loss: 2.7710 03/10 03:53:48 - mmengine - INFO - Epoch(train) [59][ 900/1252] lr: 2.8937e-02 eta: 2 days, 22:58:58 time: 0.3494 data_time: 0.0025 loss: 2.7353 03/10 03:54:26 - mmengine - INFO - Epoch(train) [59][1000/1252] lr: 2.8937e-02 eta: 2 days, 22:58:17 time: 0.3411 data_time: 0.0019 loss: 2.7995 03/10 03:55:03 - mmengine - INFO - Epoch(train) [59][1100/1252] lr: 2.8937e-02 eta: 2 days, 22:57:32 time: 0.3455 data_time: 0.0019 loss: 2.8244 03/10 03:55:38 - mmengine - INFO - Epoch(train) [59][1200/1252] lr: 2.8937e-02 eta: 2 days, 22:56:35 time: 0.3611 data_time: 0.0022 loss: 2.6616 03/10 03:55:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:55:57 - mmengine - INFO - Saving checkpoint at 59 epochs 03/10 03:56:21 - mmengine - INFO - Epoch(val) [59][49/49] accuracy/top1: 39.5600 accuracy/top5: 65.0180 03/10 03:57:00 - mmengine - INFO - Epoch(train) [60][ 100/1252] lr: 2.8937e-02 eta: 2 days, 22:55:45 time: 0.3963 data_time: 0.0020 loss: 2.7992 03/10 03:57:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 03:57:37 - mmengine - INFO - Epoch(train) [60][ 200/1252] lr: 2.8937e-02 eta: 2 days, 22:54:58 time: 0.3507 data_time: 0.0019 loss: 2.6822 03/10 03:58:14 - mmengine - INFO - Epoch(train) [60][ 300/1252] lr: 2.8937e-02 eta: 2 days, 22:54:15 time: 0.3284 data_time: 0.0020 loss: 2.7696 03/10 03:58:51 - mmengine - INFO - Epoch(train) [60][ 400/1252] lr: 2.8937e-02 eta: 2 days, 22:53:28 time: 0.3929 data_time: 0.0018 loss: 2.9012 03/10 03:59:29 - mmengine - INFO - Epoch(train) [60][ 500/1252] lr: 2.8937e-02 eta: 2 days, 22:52:50 time: 0.4222 data_time: 0.0019 loss: 2.6176 03/10 04:00:06 - mmengine - INFO - Epoch(train) [60][ 600/1252] lr: 2.8937e-02 eta: 2 days, 22:52:13 time: 0.3465 data_time: 0.0023 loss: 2.6183 03/10 04:00:43 - mmengine - INFO - Epoch(train) [60][ 700/1252] lr: 2.8937e-02 eta: 2 days, 22:51:22 time: 0.3504 data_time: 0.0021 loss: 2.7614 03/10 04:01:20 - mmengine - INFO - Epoch(train) [60][ 800/1252] lr: 2.8937e-02 eta: 2 days, 22:50:38 time: 0.3634 data_time: 0.0021 loss: 2.6978 03/10 04:01:57 - mmengine - INFO - Epoch(train) [60][ 900/1252] lr: 2.8937e-02 eta: 2 days, 22:49:56 time: 0.3999 data_time: 0.0018 loss: 2.6349 03/10 04:02:33 - mmengine - INFO - Epoch(train) [60][1000/1252] lr: 2.8937e-02 eta: 2 days, 22:49:01 time: 0.3896 data_time: 0.0020 loss: 2.7023 03/10 04:03:10 - mmengine - INFO - Epoch(train) [60][1100/1252] lr: 2.8937e-02 eta: 2 days, 22:48:19 time: 0.3267 data_time: 0.0022 loss: 2.6585 03/10 04:03:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:03:46 - mmengine - INFO - Epoch(train) [60][1200/1252] lr: 2.8937e-02 eta: 2 days, 22:47:28 time: 0.2924 data_time: 0.0027 loss: 2.8091 03/10 04:04:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:04:06 - mmengine - INFO - Saving checkpoint at 60 epochs 03/10 04:04:31 - mmengine - INFO - Epoch(val) [60][49/49] accuracy/top1: 41.5480 accuracy/top5: 66.6620 03/10 04:05:11 - mmengine - INFO - Epoch(train) [61][ 100/1252] lr: 2.8156e-02 eta: 2 days, 22:46:42 time: 0.3881 data_time: 0.0026 loss: 2.6328 03/10 04:05:48 - mmengine - INFO - Epoch(train) [61][ 200/1252] lr: 2.8156e-02 eta: 2 days, 22:46:02 time: 0.3675 data_time: 0.0019 loss: 2.6321 03/10 04:06:24 - mmengine - INFO - Epoch(train) [61][ 300/1252] lr: 2.8156e-02 eta: 2 days, 22:45:10 time: 0.3126 data_time: 0.0023 loss: 2.5665 03/10 04:07:01 - mmengine - INFO - Epoch(train) [61][ 400/1252] lr: 2.8156e-02 eta: 2 days, 22:44:29 time: 0.3115 data_time: 0.0019 loss: 2.7379 03/10 04:07:38 - mmengine - INFO - Epoch(train) [61][ 500/1252] lr: 2.8156e-02 eta: 2 days, 22:43:40 time: 0.3783 data_time: 0.0024 loss: 2.7230 03/10 04:08:15 - mmengine - INFO - Epoch(train) [61][ 600/1252] lr: 2.8156e-02 eta: 2 days, 22:42:53 time: 0.3776 data_time: 0.0027 loss: 2.7280 03/10 04:08:52 - mmengine - INFO - Epoch(train) [61][ 700/1252] lr: 2.8156e-02 eta: 2 days, 22:42:15 time: 0.4047 data_time: 0.0019 loss: 2.5734 03/10 04:09:29 - mmengine - INFO - Epoch(train) [61][ 800/1252] lr: 2.8156e-02 eta: 2 days, 22:41:28 time: 0.3357 data_time: 0.0019 loss: 2.7027 03/10 04:09:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:10:06 - mmengine - INFO - Epoch(train) [61][ 900/1252] lr: 2.8156e-02 eta: 2 days, 22:40:43 time: 0.2948 data_time: 0.0020 loss: 2.7161 03/10 04:10:43 - mmengine - INFO - Epoch(train) [61][1000/1252] lr: 2.8156e-02 eta: 2 days, 22:39:59 time: 0.3917 data_time: 0.0019 loss: 2.6109 03/10 04:11:20 - mmengine - INFO - Epoch(train) [61][1100/1252] lr: 2.8156e-02 eta: 2 days, 22:39:14 time: 0.3469 data_time: 0.0020 loss: 2.7627 03/10 04:11:57 - mmengine - INFO - Epoch(train) [61][1200/1252] lr: 2.8156e-02 eta: 2 days, 22:38:35 time: 0.4170 data_time: 0.0019 loss: 2.6644 03/10 04:12:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:12:15 - mmengine - INFO - Saving checkpoint at 61 epochs 03/10 04:12:41 - mmengine - INFO - Epoch(val) [61][49/49] accuracy/top1: 43.0100 accuracy/top5: 68.5520 03/10 04:13:20 - mmengine - INFO - Epoch(train) [62][ 100/1252] lr: 2.8156e-02 eta: 2 days, 22:37:27 time: 0.4175 data_time: 0.0022 loss: 2.7644 03/10 04:13:57 - mmengine - INFO - Epoch(train) [62][ 200/1252] lr: 2.8156e-02 eta: 2 days, 22:36:38 time: 0.3213 data_time: 0.0025 loss: 2.7426 03/10 04:14:34 - mmengine - INFO - Epoch(train) [62][ 300/1252] lr: 2.8156e-02 eta: 2 days, 22:35:53 time: 0.3604 data_time: 0.0020 loss: 2.7186 03/10 04:15:10 - mmengine - INFO - Epoch(train) [62][ 400/1252] lr: 2.8156e-02 eta: 2 days, 22:35:06 time: 0.3747 data_time: 0.0019 loss: 2.7255 03/10 04:15:47 - mmengine - INFO - Epoch(train) [62][ 500/1252] lr: 2.8156e-02 eta: 2 days, 22:34:19 time: 0.3663 data_time: 0.0021 loss: 2.7810 03/10 04:16:24 - mmengine - INFO - Epoch(train) [62][ 600/1252] lr: 2.8156e-02 eta: 2 days, 22:33:35 time: 0.3860 data_time: 0.0020 loss: 2.7601 03/10 04:16:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:17:01 - mmengine - INFO - Epoch(train) [62][ 700/1252] lr: 2.8156e-02 eta: 2 days, 22:32:55 time: 0.3963 data_time: 0.0021 loss: 2.8988 03/10 04:17:37 - mmengine - INFO - Epoch(train) [62][ 800/1252] lr: 2.8156e-02 eta: 2 days, 22:32:02 time: 0.3666 data_time: 0.0022 loss: 2.7626 03/10 04:18:16 - mmengine - INFO - Epoch(train) [62][ 900/1252] lr: 2.8156e-02 eta: 2 days, 22:31:30 time: 0.4269 data_time: 0.0020 loss: 2.6272 03/10 04:18:52 - mmengine - INFO - Epoch(train) [62][1000/1252] lr: 2.8156e-02 eta: 2 days, 22:30:43 time: 0.4531 data_time: 0.0020 loss: 2.6683 03/10 04:19:28 - mmengine - INFO - Epoch(train) [62][1100/1252] lr: 2.8156e-02 eta: 2 days, 22:29:52 time: 0.3088 data_time: 0.0020 loss: 2.7882 03/10 04:20:05 - mmengine - INFO - Epoch(train) [62][1200/1252] lr: 2.8156e-02 eta: 2 days, 22:29:04 time: 0.3725 data_time: 0.0021 loss: 2.7869 03/10 04:20:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:20:24 - mmengine - INFO - Saving checkpoint at 62 epochs 03/10 04:20:50 - mmengine - INFO - Epoch(val) [62][49/49] accuracy/top1: 35.9440 accuracy/top5: 60.6560 03/10 04:21:28 - mmengine - INFO - Epoch(train) [63][ 100/1252] lr: 2.7395e-02 eta: 2 days, 22:28:06 time: 0.3424 data_time: 0.0020 loss: 2.7177 03/10 04:22:06 - mmengine - INFO - Epoch(train) [63][ 200/1252] lr: 2.7395e-02 eta: 2 days, 22:27:26 time: 0.3554 data_time: 0.0020 loss: 2.5967 03/10 04:22:42 - mmengine - INFO - Epoch(train) [63][ 300/1252] lr: 2.7395e-02 eta: 2 days, 22:26:36 time: 0.3578 data_time: 0.0022 loss: 2.6986 03/10 04:23:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:23:20 - mmengine - INFO - Epoch(train) [63][ 400/1252] lr: 2.7395e-02 eta: 2 days, 22:25:58 time: 0.3695 data_time: 0.0020 loss: 2.6995 03/10 04:23:56 - mmengine - INFO - Epoch(train) [63][ 500/1252] lr: 2.7395e-02 eta: 2 days, 22:25:09 time: 0.4127 data_time: 0.0020 loss: 2.6723 03/10 04:24:33 - mmengine - INFO - Epoch(train) [63][ 600/1252] lr: 2.7395e-02 eta: 2 days, 22:24:25 time: 0.4066 data_time: 0.0020 loss: 2.5975 03/10 04:25:09 - mmengine - INFO - Epoch(train) [63][ 700/1252] lr: 2.7395e-02 eta: 2 days, 22:23:30 time: 0.2552 data_time: 0.0020 loss: 2.6605 03/10 04:25:46 - mmengine - INFO - Epoch(train) [63][ 800/1252] lr: 2.7395e-02 eta: 2 days, 22:22:49 time: 0.3458 data_time: 0.0023 loss: 2.6980 03/10 04:26:23 - mmengine - INFO - Epoch(train) [63][ 900/1252] lr: 2.7395e-02 eta: 2 days, 22:22:04 time: 0.3731 data_time: 0.0021 loss: 2.6725 03/10 04:27:01 - mmengine - INFO - Epoch(train) [63][1000/1252] lr: 2.7395e-02 eta: 2 days, 22:21:29 time: 0.4114 data_time: 0.0019 loss: 2.8041 03/10 04:27:37 - mmengine - INFO - Epoch(train) [63][1100/1252] lr: 2.7395e-02 eta: 2 days, 22:20:37 time: 0.4166 data_time: 0.0024 loss: 2.5807 03/10 04:28:13 - mmengine - INFO - Epoch(train) [63][1200/1252] lr: 2.7395e-02 eta: 2 days, 22:19:42 time: 0.3347 data_time: 0.0019 loss: 2.6891 03/10 04:28:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:28:31 - mmengine - INFO - Saving checkpoint at 63 epochs 03/10 04:28:57 - mmengine - INFO - Epoch(val) [63][49/49] accuracy/top1: 45.0580 accuracy/top5: 70.3560 03/10 04:29:36 - mmengine - INFO - Epoch(train) [64][ 100/1252] lr: 2.7395e-02 eta: 2 days, 22:18:48 time: 0.2839 data_time: 0.0023 loss: 2.7530 03/10 04:29:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:30:13 - mmengine - INFO - Epoch(train) [64][ 200/1252] lr: 2.7395e-02 eta: 2 days, 22:18:06 time: 0.3411 data_time: 0.0019 loss: 2.5683 03/10 04:30:51 - mmengine - INFO - Epoch(train) [64][ 300/1252] lr: 2.7395e-02 eta: 2 days, 22:17:24 time: 0.3925 data_time: 0.0019 loss: 2.6199 03/10 04:31:27 - mmengine - INFO - Epoch(train) [64][ 400/1252] lr: 2.7395e-02 eta: 2 days, 22:16:37 time: 0.3351 data_time: 0.0021 loss: 2.7473 03/10 04:32:03 - mmengine - INFO - Epoch(train) [64][ 500/1252] lr: 2.7395e-02 eta: 2 days, 22:15:47 time: 0.3387 data_time: 0.0021 loss: 2.7630 03/10 04:32:41 - mmengine - INFO - Epoch(train) [64][ 600/1252] lr: 2.7395e-02 eta: 2 days, 22:15:13 time: 0.3621 data_time: 0.0021 loss: 2.6317 03/10 04:33:17 - mmengine - INFO - Epoch(train) [64][ 700/1252] lr: 2.7395e-02 eta: 2 days, 22:14:20 time: 0.2875 data_time: 0.0022 loss: 2.7448 03/10 04:33:55 - mmengine - INFO - Epoch(train) [64][ 800/1252] lr: 2.7395e-02 eta: 2 days, 22:13:41 time: 0.3823 data_time: 0.0027 loss: 2.7873 03/10 04:34:32 - mmengine - INFO - Epoch(train) [64][ 900/1252] lr: 2.7395e-02 eta: 2 days, 22:12:57 time: 0.3652 data_time: 0.0018 loss: 2.6319 03/10 04:35:09 - mmengine - INFO - Epoch(train) [64][1000/1252] lr: 2.7395e-02 eta: 2 days, 22:12:12 time: 0.3662 data_time: 0.0020 loss: 2.6220 03/10 04:35:46 - mmengine - INFO - Epoch(train) [64][1100/1252] lr: 2.7395e-02 eta: 2 days, 22:11:33 time: 0.4180 data_time: 0.0020 loss: 2.6782 03/10 04:35:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:36:23 - mmengine - INFO - Epoch(train) [64][1200/1252] lr: 2.7395e-02 eta: 2 days, 22:10:48 time: 0.3684 data_time: 0.0018 loss: 2.7733 03/10 04:36:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:36:41 - mmengine - INFO - Saving checkpoint at 64 epochs 03/10 04:37:06 - mmengine - INFO - Epoch(val) [64][49/49] accuracy/top1: 46.9520 accuracy/top5: 72.1540 03/10 04:37:44 - mmengine - INFO - Epoch(train) [65][ 100/1252] lr: 2.6656e-02 eta: 2 days, 22:09:46 time: 0.2975 data_time: 0.0018 loss: 2.5131 03/10 04:38:22 - mmengine - INFO - Epoch(train) [65][ 200/1252] lr: 2.6656e-02 eta: 2 days, 22:09:06 time: 0.4250 data_time: 0.0021 loss: 2.6846 03/10 04:38:58 - mmengine - INFO - Epoch(train) [65][ 300/1252] lr: 2.6656e-02 eta: 2 days, 22:08:18 time: 0.3798 data_time: 0.0021 loss: 2.6329 03/10 04:39:35 - mmengine - INFO - Epoch(train) [65][ 400/1252] lr: 2.6656e-02 eta: 2 days, 22:07:34 time: 0.3333 data_time: 0.0018 loss: 2.6371 03/10 04:40:13 - mmengine - INFO - Epoch(train) [65][ 500/1252] lr: 2.6656e-02 eta: 2 days, 22:06:57 time: 0.3930 data_time: 0.0019 loss: 2.7534 03/10 04:40:50 - mmengine - INFO - Epoch(train) [65][ 600/1252] lr: 2.6656e-02 eta: 2 days, 22:06:10 time: 0.3244 data_time: 0.0022 loss: 2.6834 03/10 04:41:27 - mmengine - INFO - Epoch(train) [65][ 700/1252] lr: 2.6656e-02 eta: 2 days, 22:05:30 time: 0.4507 data_time: 0.0019 loss: 2.7610 03/10 04:42:03 - mmengine - INFO - Epoch(train) [65][ 800/1252] lr: 2.6656e-02 eta: 2 days, 22:04:43 time: 0.3897 data_time: 0.0020 loss: 2.6487 03/10 04:42:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:42:40 - mmengine - INFO - Epoch(train) [65][ 900/1252] lr: 2.6656e-02 eta: 2 days, 22:03:57 time: 0.3192 data_time: 0.0021 loss: 2.7808 03/10 04:43:17 - mmengine - INFO - Epoch(train) [65][1000/1252] lr: 2.6656e-02 eta: 2 days, 22:03:12 time: 0.3194 data_time: 0.0022 loss: 2.6472 03/10 04:43:54 - mmengine - INFO - Epoch(train) [65][1100/1252] lr: 2.6656e-02 eta: 2 days, 22:02:31 time: 0.3726 data_time: 0.0022 loss: 2.6540 03/10 04:44:31 - mmengine - INFO - Epoch(train) [65][1200/1252] lr: 2.6656e-02 eta: 2 days, 22:01:49 time: 0.4184 data_time: 0.0020 loss: 2.6135 03/10 04:44:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:44:49 - mmengine - INFO - Saving checkpoint at 65 epochs 03/10 04:45:15 - mmengine - INFO - Epoch(val) [65][49/49] accuracy/top1: 47.2000 accuracy/top5: 72.4400 03/10 04:45:55 - mmengine - INFO - Epoch(train) [66][ 100/1252] lr: 2.6656e-02 eta: 2 days, 22:00:54 time: 0.3314 data_time: 0.0018 loss: 2.6478 03/10 04:46:32 - mmengine - INFO - Epoch(train) [66][ 200/1252] lr: 2.6656e-02 eta: 2 days, 22:00:15 time: 0.4208 data_time: 0.0023 loss: 2.5820 03/10 04:47:10 - mmengine - INFO - Epoch(train) [66][ 300/1252] lr: 2.6656e-02 eta: 2 days, 21:59:36 time: 0.4014 data_time: 0.0021 loss: 2.6322 03/10 04:47:47 - mmengine - INFO - Epoch(train) [66][ 400/1252] lr: 2.6656e-02 eta: 2 days, 21:58:51 time: 0.3716 data_time: 0.0017 loss: 2.7041 03/10 04:48:23 - mmengine - INFO - Epoch(train) [66][ 500/1252] lr: 2.6656e-02 eta: 2 days, 21:58:07 time: 0.3998 data_time: 0.0021 loss: 2.6265 03/10 04:49:00 - mmengine - INFO - Epoch(train) [66][ 600/1252] lr: 2.6656e-02 eta: 2 days, 21:57:17 time: 0.3486 data_time: 0.0020 loss: 2.6136 03/10 04:49:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:49:37 - mmengine - INFO - Epoch(train) [66][ 700/1252] lr: 2.6656e-02 eta: 2 days, 21:56:35 time: 0.3875 data_time: 0.0022 loss: 2.5851 03/10 04:50:13 - mmengine - INFO - Epoch(train) [66][ 800/1252] lr: 2.6656e-02 eta: 2 days, 21:55:49 time: 0.3808 data_time: 0.0020 loss: 2.6384 03/10 04:50:50 - mmengine - INFO - Epoch(train) [66][ 900/1252] lr: 2.6656e-02 eta: 2 days, 21:55:01 time: 0.3101 data_time: 0.0020 loss: 2.6048 03/10 04:51:26 - mmengine - INFO - Epoch(train) [66][1000/1252] lr: 2.6656e-02 eta: 2 days, 21:54:14 time: 0.3349 data_time: 0.0022 loss: 2.5973 03/10 04:52:04 - mmengine - INFO - Epoch(train) [66][1100/1252] lr: 2.6656e-02 eta: 2 days, 21:53:33 time: 0.3710 data_time: 0.0020 loss: 2.7669 03/10 04:52:41 - mmengine - INFO - Epoch(train) [66][1200/1252] lr: 2.6656e-02 eta: 2 days, 21:52:52 time: 0.3826 data_time: 0.0021 loss: 2.6392 03/10 04:52:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:52:59 - mmengine - INFO - Saving checkpoint at 66 epochs 03/10 04:53:23 - mmengine - INFO - Epoch(val) [66][49/49] accuracy/top1: 44.8300 accuracy/top5: 70.6340 03/10 04:54:03 - mmengine - INFO - Epoch(train) [67][ 100/1252] lr: 2.5936e-02 eta: 2 days, 21:51:57 time: 0.3523 data_time: 0.0026 loss: 2.5259 03/10 04:54:39 - mmengine - INFO - Epoch(train) [67][ 200/1252] lr: 2.5936e-02 eta: 2 days, 21:51:07 time: 0.3031 data_time: 0.0022 loss: 2.6169 03/10 04:55:17 - mmengine - INFO - Epoch(train) [67][ 300/1252] lr: 2.5936e-02 eta: 2 days, 21:50:34 time: 0.3938 data_time: 0.0019 loss: 2.6367 03/10 04:55:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 04:55:55 - mmengine - INFO - Epoch(train) [67][ 400/1252] lr: 2.5936e-02 eta: 2 days, 21:50:00 time: 0.3968 data_time: 0.0019 loss: 2.6517 03/10 04:56:31 - mmengine - INFO - Epoch(train) [67][ 500/1252] lr: 2.5936e-02 eta: 2 days, 21:49:08 time: 0.3876 data_time: 0.0019 loss: 2.5251 03/10 04:57:09 - mmengine - INFO - Epoch(train) [67][ 600/1252] lr: 2.5936e-02 eta: 2 days, 21:48:30 time: 0.4387 data_time: 0.0019 loss: 2.6786 03/10 04:57:45 - mmengine - INFO - Epoch(train) [67][ 700/1252] lr: 2.5936e-02 eta: 2 days, 21:47:46 time: 0.4214 data_time: 0.0020 loss: 2.7472 03/10 04:58:21 - mmengine - INFO - Epoch(train) [67][ 800/1252] lr: 2.5936e-02 eta: 2 days, 21:46:53 time: 0.3521 data_time: 0.0021 loss: 2.6309 03/10 04:58:58 - mmengine - INFO - Epoch(train) [67][ 900/1252] lr: 2.5936e-02 eta: 2 days, 21:46:08 time: 0.3984 data_time: 0.0021 loss: 2.6379 03/10 04:59:35 - mmengine - INFO - Epoch(train) [67][1000/1252] lr: 2.5936e-02 eta: 2 days, 21:45:29 time: 0.3350 data_time: 0.0021 loss: 2.7035 03/10 05:00:12 - mmengine - INFO - Epoch(train) [67][1100/1252] lr: 2.5936e-02 eta: 2 days, 21:44:43 time: 0.3782 data_time: 0.0020 loss: 2.6522 03/10 05:00:49 - mmengine - INFO - Epoch(train) [67][1200/1252] lr: 2.5936e-02 eta: 2 days, 21:44:03 time: 0.3535 data_time: 0.0020 loss: 2.5621 03/10 05:01:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 05:01:08 - mmengine - INFO - Saving checkpoint at 67 epochs 03/10 05:01:32 - mmengine - INFO - Epoch(val) [67][49/49] accuracy/top1: 43.2620 accuracy/top5: 69.2020 03/10 05:02:12 - mmengine - INFO - Epoch(train) [68][ 100/1252] lr: 2.5936e-02 eta: 2 days, 21:43:08 time: 0.3746 data_time: 0.0018 loss: 2.5301 03/10 05:02:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 05:02:49 - mmengine - INFO - Epoch(train) [68][ 200/1252] lr: 2.5936e-02 eta: 2 days, 21:42:28 time: 0.3820 data_time: 0.0023 loss: 2.5537 03/10 05:03:26 - mmengine - INFO - Epoch(train) [68][ 300/1252] lr: 2.5936e-02 eta: 2 days, 21:41:47 time: 0.3680 data_time: 0.0020 loss: 2.6570 03/10 05:04:04 - mmengine - INFO - Epoch(train) [68][ 400/1252] lr: 2.5936e-02 eta: 2 days, 21:41:09 time: 0.3873 data_time: 0.0020 loss: 2.7204 03/10 05:04:40 - mmengine - INFO - Epoch(train) [68][ 500/1252] lr: 2.5936e-02 eta: 2 days, 21:40:23 time: 0.3534 data_time: 0.0017 loss: 2.6666 03/10 05:05:17 - mmengine - INFO - Epoch(train) [68][ 600/1252] lr: 2.5936e-02 eta: 2 days, 21:39:42 time: 0.4094 data_time: 0.0026 loss: 2.6214 03/10 05:05:54 - mmengine - INFO - Epoch(train) [68][ 700/1252] lr: 2.5936e-02 eta: 2 days, 21:38:58 time: 0.4165 data_time: 0.0019 loss: 2.6646 03/10 05:06:32 - mmengine - INFO - Epoch(train) [68][ 800/1252] lr: 2.5936e-02 eta: 2 days, 21:38:20 time: 0.4028 data_time: 0.0018 loss: 2.6438 03/10 05:07:09 - mmengine - INFO - Epoch(train) [68][ 900/1252] lr: 2.5936e-02 eta: 2 days, 21:37:41 time: 0.4618 data_time: 0.0020 loss: 2.5957 03/10 05:07:46 - mmengine - INFO - Epoch(train) [68][1000/1252] lr: 2.5936e-02 eta: 2 days, 21:36:55 time: 0.3275 data_time: 0.0017 loss: 2.6592 03/10 05:08:22 - mmengine - INFO - Epoch(train) [68][1100/1252] lr: 2.5936e-02 eta: 2 days, 21:36:07 time: 0.3350 data_time: 0.0025 loss: 2.6555 03/10 05:08:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 05:08:59 - mmengine - INFO - Epoch(train) [68][1200/1252] lr: 2.5936e-02 eta: 2 days, 21:35:24 time: 0.3847 data_time: 0.0022 loss: 2.6371 03/10 05:09:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 05:09:18 - mmengine - INFO - Saving checkpoint at 68 epochs 03/10 05:09:44 - mmengine - INFO - Epoch(val) [68][49/49] accuracy/top1: 45.0260 accuracy/top5: 70.3660 03/10 05:10:24 - mmengine - INFO - Epoch(train) [69][ 100/1252] lr: 2.5236e-02 eta: 2 days, 21:34:38 time: 0.3726 data_time: 0.0026 loss: 2.6162 03/10 05:11:00 - mmengine - INFO - Epoch(train) [69][ 200/1252] lr: 2.5236e-02 eta: 2 days, 21:33:51 time: 0.3484 data_time: 0.0020 loss: 2.6298 03/10 05:11:37 - mmengine - INFO - Epoch(train) [69][ 300/1252] lr: 2.5236e-02 eta: 2 days, 21:33:12 time: 0.3448 data_time: 0.0022 loss: 2.5454 03/10 05:12:14 - mmengine - INFO - Epoch(train) [69][ 400/1252] lr: 2.5236e-02 eta: 2 days, 21:32:29 time: 0.3800 data_time: 0.0019 loss: 2.5692 03/10 05:12:52 - mmengine - INFO - Epoch(train) [69][ 500/1252] lr: 2.5236e-02 eta: 2 days, 21:31:53 time: 0.3536 data_time: 0.0020 loss: 2.6223 03/10 05:13:29 - mmengine - INFO - Epoch(train) [69][ 600/1252] lr: 2.5236e-02 eta: 2 days, 21:31:11 time: 0.4045 data_time: 0.0024 loss: 2.6739 03/10 05:14:08 - mmengine - INFO - Epoch(train) [69][ 700/1252] lr: 2.5236e-02 eta: 2 days, 21:30:38 time: 0.3832 data_time: 0.0019 loss: 2.5765 03/10 05:14:44 - mmengine - INFO - Epoch(train) [69][ 800/1252] lr: 2.5236e-02 eta: 2 days, 21:29:49 time: 0.3297 data_time: 0.0019 loss: 2.6148 03/10 05:15:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 05:15:20 - mmengine - INFO - Epoch(train) [69][ 900/1252] lr: 2.5236e-02 eta: 2 days, 21:29:00 time: 0.4103 data_time: 0.0018 loss: 2.7268 03/10 05:15:59 - mmengine - INFO - Epoch(train) [69][1000/1252] lr: 2.5236e-02 eta: 2 days, 21:28:36 time: 0.4033 data_time: 0.0020 loss: 2.6260 03/10 05:16:36 - mmengine - INFO - Epoch(train) [69][1100/1252] lr: 2.5236e-02 eta: 2 days, 21:27:49 time: 0.3061 data_time: 0.0023 loss: 2.5646 03/10 05:17:13 - mmengine - INFO - Epoch(train) [69][1200/1252] lr: 2.5236e-02 eta: 2 days, 21:27:09 time: 0.3977 data_time: 0.0022 loss: 2.6571 03/10 05:17:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230309_194237 03/10 05:17:31 - mmengine - INFO - Saving checkpoint at 69 epochs ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** Killing subprocess 28557 Killing subprocess 28558 Killing subprocess 28559 Killing subprocess 28560 Killing subprocess 28561 Killing subprocess 28562 Killing subprocess 28563 Killing subprocess 28564 Main process received SIGTERM, exiting /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth usage: train.py [-h] [--work-dir WORK_DIR] [--resume [RESUME]] [--amp] [--no-validate] [--auto-scale-lr] [--no-pin-memory] [--no-persistent-workers] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth THPModule_npu_shutdown success. THPModule_npu_shutdown success. Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 340, in main() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 326, in main sigkill_handler(signal.SIGTERM, None) # not coming back File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 301, in sigkill_handler raise subprocess.CalledProcessError(returncode=last_return_code, cmd=cmd) subprocess.CalledProcessError: Command '['/root/anaconda3/envs/mmcv_2.x/bin/python', '-u', './tools/train.py', '--local_rank=7', 'configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py', '--launcher', 'pytorch', '--resume-from=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth']' returned non-zero exit status 2. ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** Killing subprocess 53866 Killing subprocess 53867 Killing subprocess 53868 Killing subprocess 53869 Killing subprocess 53870 Killing subprocess 53871 Killing subprocess 53872 Killing subprocess 53873 [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) 03/10 14:12:11 - 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: 1245678009 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 ------------------------------------------------------------ 03/10 14:12:12 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict(type='MobileNetV3', arch='small'), neck=dict(type='GlobalAveragePooling'), head=dict( type='StackedLinearClsHead', num_classes=1000, in_channels=576, mid_channels=[1024], dropout_rate=0.2, act_cfg=dict(type='HSwish'), loss=dict(type='CrossEntropyLoss', loss_weight=1.0), init_cfg=dict( type='Normal', layer='Linear', mean=0.0, std=0.01, bias=0.0), 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) bgr_mean = [103.53, 116.28, 123.675] bgr_std = [57.375, 57.12, 58.395] train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, 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=128, num_workers=5, 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)) 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 = 'work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth' resume = True randomness = dict(seed=None, deterministic=False) optim_wrapper = dict( optimizer=dict( type='RMSprop', lr=0.064, alpha=0.9, momentum=0.9, eps=0.0316, weight_decay=1e-05)) param_scheduler = dict(type='StepLR', by_epoch=True, step_size=2, gamma=0.973) train_cfg = dict(by_epoch=True, max_epochs=600, val_interval=1) val_cfg = dict() test_cfg = dict() auto_scale_lr = dict(base_batch_size=1024) launcher = 'pytorch' work_dir = './work_dirs/mobilenet-v3-small_8xb128_in1k' 03/10 14:12:12 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:12 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:12 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:16 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:16 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 03/10 14:12:16 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:16 - 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 03/10 14:12:24 - mmengine - WARNING - The "data sampler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:24 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:24 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:24 - mmengine - WARNING - The "optimizer_wrapper" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/10 14:12:24 - mmengine - WARNING - The "parameter scheduler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:12:24 - 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 GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/10 14:12:27 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Traceback (most recent call last): File "./tools/train.py", line 162, in main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume checkpoint = self.load_checkpoint(filename, map_location=device) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint checkpoint = _load_checkpoint(filename, map_location=map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device if index >= device_count: TypeError: '>=' not supported between instances of 'NoneType' and 'int' Traceback (most recent call last): File "./tools/train.py", line 162, in main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train Traceback (most recent call last): File "./tools/train.py", line 162, in self.load_or_resume() main() File "./tools/train.py", line 158, in main Traceback (most recent call last): File "./tools/train.py", line 162, in runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume checkpoint = self.load_checkpoint(filename, map_location=device)self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume Traceback (most recent call last): File "./tools/train.py", line 162, in self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume checkpoint = self.load_checkpoint(filename, map_location=device) main() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint checkpoint = _load_checkpoint(filename, map_location=map_location) File "./tools/train.py", line 158, in main File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint checkpoint = self.load_checkpoint(filename, map_location=device) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load checkpoint = _load_checkpoint(filename, map_location=map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint checkpoint = _load_checkpoint(filename, map_location=map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load checkpoint = self.load_checkpoint(filename, map_location=device) loaded_storages[key] = restore_location(storage, location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize load_tensor(data_type, size, key, _maybe_decode_ascii(location)) device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device checkpoint = _load_checkpoint(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint if index >= device_count: TypeError: '>=' not supported between instances of 'NoneType' and 'int' return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load if index >= device_count: return default_restore_location(storage, map_location) TypeError File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location : '>=' not supported between instances of 'NoneType' and 'int' result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device if index >= device_count: TypeError: '>=' not supported between instances of 'NoneType' and 'int' result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device if index >= device_count: TypeError: '>=' not supported between instances of 'NoneType' and 'int' Traceback (most recent call last): File "./tools/train.py", line 162, in main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume Traceback (most recent call last): File "./tools/train.py", line 162, in main() checkpoint = self.load_checkpoint(filename, map_location=device) File "./tools/train.py", line 158, in main File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train checkpoint = _load_checkpoint(filename, map_location=map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load checkpoint = self.load_checkpoint(filename, map_location=device) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location checkpoint = _load_checkpoint(filename, map_location=map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) if index >= device_count: File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load TypeError: '>=' not supported between instances of 'NoneType' and 'int' result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device if index >= device_count: TypeError: '>=' not supported between instances of 'NoneType' and 'int' Traceback (most recent call last): File "./tools/train.py", line 162, in main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1678, in train self.load_or_resume() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1624, in load_or_resume self.resume(resume_from) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1926, in resume checkpoint = self.load_checkpoint(filename, map_location=device) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 2033, in load_checkpoint checkpoint = _load_checkpoint(filename, map_location=map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 516, in _load_checkpoint return CheckpointLoader.load_checkpoint(filename, map_location, logger) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 301, in load_checkpoint return checkpoint_loader(filename, map_location) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/checkpoint.py", line 318, in load_from_local checkpoint = torch.load(filename, map_location=map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 112, in load return se._load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 851, in _load result = unpickler.load() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 843, in persistent_load load_tensor(data_type, size, key, _maybe_decode_ascii(location)) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 832, in load_tensor loaded_storages[key] = restore_location(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 809, in restore_location return default_restore_location(storage, map_location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/serialization.py", line 175, in default_restore_location result = fn(storage, location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 53, in _npu_deserialize device = validate_npu_device(location) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch_npu/utils/serialization.py", line 43, in validate_npu_device if index >= device_count: TypeError: '>=' not supported between instances of 'NoneType' and 'int' THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 340, in main() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 326, in main sigkill_handler(signal.SIGTERM, None) # not coming back File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 301, in sigkill_handler raise subprocess.CalledProcessError(returncode=last_return_code, cmd=cmd) subprocess.CalledProcessError: Command '['/root/anaconda3/envs/mmcv_2.x/bin/python', '-u', './tools/train.py', '--local_rank=7', 'configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py', '--launcher', 'pytorch', '--resume=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth']' returned non-zero exit status 1. ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** Killing subprocess 55543 Killing subprocess 55544 Killing subprocess 55545 Killing subprocess 55546 Killing subprocess 55547 Killing subprocess 55548 Killing subprocess 55549 Killing subprocess 55550 [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) 03/10 14:17:34 - 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: 1451201639 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 ------------------------------------------------------------ 03/10 14:17:34 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict(type='MobileNetV3', arch='small'), neck=dict(type='GlobalAveragePooling'), head=dict( type='StackedLinearClsHead', num_classes=1000, in_channels=576, mid_channels=[1024], dropout_rate=0.2, act_cfg=dict(type='HSwish'), loss=dict(type='CrossEntropyLoss', loss_weight=1.0), init_cfg=dict( type='Normal', layer='Linear', mean=0.0, std=0.01, bias=0.0), 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) bgr_mean = [103.53, 116.28, 123.675] bgr_std = [57.375, 57.12, 58.395] train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, 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=128, num_workers=5, 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)) 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 = 'work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth' resume = True randomness = dict(seed=None, deterministic=False) optim_wrapper = dict( optimizer=dict( type='RMSprop', lr=0.064, alpha=0.9, momentum=0.9, eps=0.0316, weight_decay=1e-05)) param_scheduler = dict(type='StepLR', by_epoch=True, step_size=2, gamma=0.973) train_cfg = dict(by_epoch=True, max_epochs=600, val_interval=1) val_cfg = dict() test_cfg = dict() auto_scale_lr = dict(base_batch_size=1024) launcher = 'pytorch' work_dir = './work_dirs/mobilenet-v3-small_8xb128_in1k' 03/10 14:17:34 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:34 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:35 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:38 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:38 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 03/10 14:17:39 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:39 - mmengine - WARNING - The "transform" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/10 14:17:47 - mmengine - WARNING - The "data sampler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:47 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:47 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:47 - mmengine - WARNING - The "optimizer_wrapper" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/10 14:17:47 - mmengine - WARNING - The "parameter scheduler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True GradScaler options are: init_scale : 65536.0 growth_factor : 2.0 backoff_factor : 0.5 growth_interval : 2000 dynamic : True enabled : True 03/10 14:17:47 - mmengine - WARNING - The "metric" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/10 14:17:50 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth 03/10 14:17:56 - mmengine - INFO - Load checkpoint from work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_69.pth 03/10 14:17:56 - mmengine - INFO - resumed epoch: 69, iter: 86388 03/10 14:17:56 - mmengine - INFO - Checkpoints will be saved to /home/lml/mmcv_2.x/mmclassification/work_dirs/mobilenet-v3-small_8xb128_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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], strides() = [1] (function operator()) 03/10 14:19:07 - mmengine - INFO - Epoch(train) [70][ 100/1252] lr: 2.5236e-02 eta: 5 days, 9:23:42 time: 0.3328 data_time: 0.0720 loss: 2.5750 03/10 14:19:41 - mmengine - INFO - Epoch(train) [70][ 200/1252] lr: 2.5236e-02 eta: 4 days, 0:03:29 time: 0.3563 data_time: 0.0024 loss: 2.6331 03/10 14:20:13 - mmengine - INFO - Epoch(train) [70][ 300/1252] lr: 2.5236e-02 eta: 3 days, 12:03:08 time: 0.3006 data_time: 0.1510 loss: 2.5528 03/10 14:20:47 - mmengine - INFO - Epoch(train) [70][ 400/1252] lr: 2.5236e-02 eta: 3 days, 6:31:11 time: 0.3278 data_time: 0.0025 loss: 2.5091 03/10 14:21:19 - mmengine - INFO - Epoch(train) [70][ 500/1252] lr: 2.5236e-02 eta: 3 days, 2:45:36 time: 0.2822 data_time: 0.0023 loss: 2.6850 03/10 14:21:54 - mmengine - INFO - Epoch(train) [70][ 600/1252] lr: 2.5236e-02 eta: 3 days, 0:50:32 time: 0.3456 data_time: 0.0029 loss: 2.6015 03/10 14:21:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:22:26 - mmengine - INFO - Epoch(train) [70][ 700/1252] lr: 2.5236e-02 eta: 2 days, 23:02:17 time: 0.2608 data_time: 0.0213 loss: 2.6555 03/10 14:23:00 - mmengine - INFO - Epoch(train) [70][ 800/1252] lr: 2.5236e-02 eta: 2 days, 21:59:40 time: 0.3426 data_time: 0.0026 loss: 2.5912 03/10 14:23:33 - mmengine - INFO - Epoch(train) [70][ 900/1252] lr: 2.5236e-02 eta: 2 days, 20:58:58 time: 0.3798 data_time: 0.0026 loss: 2.6675 03/10 14:24:07 - mmengine - INFO - Epoch(train) [70][1000/1252] lr: 2.5236e-02 eta: 2 days, 20:17:49 time: 0.3563 data_time: 0.0024 loss: 2.7228 03/10 14:24:41 - mmengine - INFO - Epoch(train) [70][1100/1252] lr: 2.5236e-02 eta: 2 days, 19:40:34 time: 0.3511 data_time: 0.1596 loss: 2.5375 03/10 14:25:13 - mmengine - INFO - Epoch(train) [70][1200/1252] lr: 2.5236e-02 eta: 2 days, 18:59:06 time: 0.3101 data_time: 0.1027 loss: 2.7284 03/10 14:25:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:25:42 - mmengine - INFO - Saving checkpoint at 70 epochs 03/10 14:26:15 - mmengine - INFO - Epoch(val) [70][49/49] accuracy/top1: 49.9800 accuracy/top5: 74.9040 03/10 14:26:51 - mmengine - INFO - Epoch(train) [71][ 100/1252] lr: 2.4554e-02 eta: 2 days, 20:19:41 time: 0.3385 data_time: 0.0034 loss: 2.6227 03/10 14:27:25 - mmengine - INFO - Epoch(train) [71][ 200/1252] lr: 2.4554e-02 eta: 2 days, 19:53:48 time: 0.2905 data_time: 0.0028 loss: 2.4952 03/10 14:27:58 - mmengine - INFO - Epoch(train) [71][ 300/1252] lr: 2.4554e-02 eta: 2 days, 19:27:04 time: 0.2978 data_time: 0.0538 loss: 2.5877 03/10 14:28:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:28:32 - mmengine - INFO - Epoch(train) [71][ 400/1252] lr: 2.4554e-02 eta: 2 days, 19:12:40 time: 0.3354 data_time: 0.0021 loss: 2.6131 03/10 14:29:06 - mmengine - INFO - Epoch(train) [71][ 500/1252] lr: 2.4554e-02 eta: 2 days, 18:52:57 time: 0.3401 data_time: 0.1350 loss: 2.6522 03/10 14:29:40 - mmengine - INFO - Epoch(train) [71][ 600/1252] lr: 2.4554e-02 eta: 2 days, 18:38:41 time: 0.3327 data_time: 0.0026 loss: 2.6676 03/10 14:30:14 - mmengine - INFO - Epoch(train) [71][ 700/1252] lr: 2.4554e-02 eta: 2 days, 18:24:16 time: 0.3210 data_time: 0.0059 loss: 2.7049 03/10 14:30:48 - mmengine - INFO - Epoch(train) [71][ 800/1252] lr: 2.4554e-02 eta: 2 days, 18:13:12 time: 0.3903 data_time: 0.0035 loss: 2.6541 03/10 14:31:21 - mmengine - INFO - Epoch(train) [71][ 900/1252] lr: 2.4554e-02 eta: 2 days, 17:57:54 time: 0.2904 data_time: 0.0720 loss: 2.5944 03/10 14:31:55 - mmengine - INFO - Epoch(train) [71][1000/1252] lr: 2.4554e-02 eta: 2 days, 17:46:44 time: 0.3393 data_time: 0.0251 loss: 2.7009 03/10 14:32:28 - mmengine - INFO - Epoch(train) [71][1100/1252] lr: 2.4554e-02 eta: 2 days, 17:33:55 time: 0.2782 data_time: 0.0023 loss: 2.6398 03/10 14:33:03 - mmengine - INFO - Epoch(train) [71][1200/1252] lr: 2.4554e-02 eta: 2 days, 17:28:35 time: 0.3876 data_time: 0.2708 loss: 2.6563 03/10 14:33:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:33:19 - mmengine - INFO - Saving checkpoint at 71 epochs 03/10 14:33:46 - mmengine - INFO - Epoch(val) [71][49/49] accuracy/top1: 43.1660 accuracy/top5: 67.8540 03/10 14:34:22 - mmengine - INFO - Epoch(train) [72][ 100/1252] lr: 2.4554e-02 eta: 2 days, 17:21:57 time: 0.3701 data_time: 0.0026 loss: 2.5175 03/10 14:34:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:34:56 - mmengine - INFO - Epoch(train) [72][ 200/1252] lr: 2.4554e-02 eta: 2 days, 17:13:46 time: 0.2772 data_time: 0.0025 loss: 2.5139 03/10 14:35:30 - mmengine - INFO - Epoch(train) [72][ 300/1252] lr: 2.4554e-02 eta: 2 days, 17:08:54 time: 0.3305 data_time: 0.0025 loss: 2.6143 03/10 14:36:04 - mmengine - INFO - Epoch(train) [72][ 400/1252] lr: 2.4554e-02 eta: 2 days, 17:01:38 time: 0.3377 data_time: 0.0047 loss: 2.6680 03/10 14:36:39 - mmengine - INFO - Epoch(train) [72][ 500/1252] lr: 2.4554e-02 eta: 2 days, 16:58:22 time: 0.3397 data_time: 0.2243 loss: 2.5600 03/10 14:37:12 - mmengine - INFO - Epoch(train) [72][ 600/1252] lr: 2.4554e-02 eta: 2 days, 16:50:36 time: 0.3304 data_time: 0.0021 loss: 2.5539 03/10 14:37:46 - mmengine - INFO - Epoch(train) [72][ 700/1252] lr: 2.4554e-02 eta: 2 days, 16:45:18 time: 0.3146 data_time: 0.1858 loss: 2.6080 03/10 14:38:20 - mmengine - INFO - Epoch(train) [72][ 800/1252] lr: 2.4554e-02 eta: 2 days, 16:40:12 time: 0.3748 data_time: 0.0029 loss: 2.5894 03/10 14:38:55 - mmengine - INFO - Epoch(train) [72][ 900/1252] lr: 2.4554e-02 eta: 2 days, 16:37:41 time: 0.3271 data_time: 0.0020 loss: 2.5967 03/10 14:39:29 - mmengine - INFO - Epoch(train) [72][1000/1252] lr: 2.4554e-02 eta: 2 days, 16:35:39 time: 0.3489 data_time: 0.0033 loss: 2.6609 03/10 14:40:03 - mmengine - INFO - Epoch(train) [72][1100/1252] lr: 2.4554e-02 eta: 2 days, 16:29:17 time: 0.3606 data_time: 0.0149 loss: 2.7198 03/10 14:40:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:40:36 - mmengine - INFO - Epoch(train) [72][1200/1252] lr: 2.4554e-02 eta: 2 days, 16:22:51 time: 0.3337 data_time: 0.0401 loss: 2.6018 03/10 14:40:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:40:53 - mmengine - INFO - Saving checkpoint at 72 epochs 03/10 14:41:18 - mmengine - INFO - Epoch(val) [72][49/49] accuracy/top1: 47.3240 accuracy/top5: 72.7740 03/10 14:41:55 - mmengine - INFO - Epoch(train) [73][ 100/1252] lr: 2.3891e-02 eta: 2 days, 16:22:00 time: 0.3571 data_time: 0.0025 loss: 2.6875 03/10 14:42:29 - mmengine - INFO - Epoch(train) [73][ 200/1252] lr: 2.3891e-02 eta: 2 days, 16:17:18 time: 0.3364 data_time: 0.0125 loss: 2.5583 03/10 14:43:02 - mmengine - INFO - Epoch(train) [73][ 300/1252] lr: 2.3891e-02 eta: 2 days, 16:12:04 time: 0.3326 data_time: 0.0026 loss: 2.6714 03/10 14:43:36 - mmengine - INFO - Epoch(train) [73][ 400/1252] lr: 2.3891e-02 eta: 2 days, 16:08:37 time: 0.3369 data_time: 0.0498 loss: 2.4092 03/10 14:44:09 - mmengine - INFO - Epoch(train) [73][ 500/1252] lr: 2.3891e-02 eta: 2 days, 16:03:58 time: 0.3177 data_time: 0.1758 loss: 2.6747 03/10 14:44:44 - mmengine - INFO - Epoch(train) [73][ 600/1252] lr: 2.3891e-02 eta: 2 days, 16:03:30 time: 0.3593 data_time: 0.2293 loss: 2.6213 03/10 14:45:18 - mmengine - INFO - Epoch(train) [73][ 700/1252] lr: 2.3891e-02 eta: 2 days, 16:00:18 time: 0.3019 data_time: 0.1934 loss: 2.6044 03/10 14:45:51 - mmengine - INFO - Epoch(train) [73][ 800/1252] lr: 2.3891e-02 eta: 2 days, 15:55:17 time: 0.3458 data_time: 0.1839 loss: 2.5648 03/10 14:46:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:46:26 - mmengine - INFO - Epoch(train) [73][ 900/1252] lr: 2.3891e-02 eta: 2 days, 15:53:42 time: 0.3679 data_time: 0.0026 loss: 2.6116 03/10 14:47:00 - mmengine - INFO - Epoch(train) [73][1000/1252] lr: 2.3891e-02 eta: 2 days, 15:51:45 time: 0.3321 data_time: 0.0024 loss: 2.5992 03/10 14:47:33 - mmengine - INFO - Epoch(train) [73][1100/1252] lr: 2.3891e-02 eta: 2 days, 15:47:50 time: 0.3479 data_time: 0.2120 loss: 2.5618 03/10 14:48:07 - mmengine - INFO - Epoch(train) [73][1200/1252] lr: 2.3891e-02 eta: 2 days, 15:44:04 time: 0.3247 data_time: 0.0026 loss: 2.4827 03/10 14:48:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:48:24 - mmengine - INFO - Saving checkpoint at 73 epochs 03/10 14:48:48 - mmengine - INFO - Epoch(val) [73][49/49] accuracy/top1: 38.9120 accuracy/top5: 63.2380 03/10 14:49:24 - mmengine - INFO - Epoch(train) [74][ 100/1252] lr: 2.3891e-02 eta: 2 days, 15:43:11 time: 0.3047 data_time: 0.0540 loss: 2.5593 03/10 14:49:58 - mmengine - INFO - Epoch(train) [74][ 200/1252] lr: 2.3891e-02 eta: 2 days, 15:40:52 time: 0.3537 data_time: 0.0026 loss: 2.7162 03/10 14:50:32 - mmengine - INFO - Epoch(train) [74][ 300/1252] lr: 2.3891e-02 eta: 2 days, 15:38:17 time: 0.3864 data_time: 0.2189 loss: 2.6163 03/10 14:51:07 - mmengine - INFO - Epoch(train) [74][ 400/1252] lr: 2.3891e-02 eta: 2 days, 15:36:59 time: 0.3468 data_time: 0.0027 loss: 2.5990 03/10 14:51:41 - mmengine - INFO - Epoch(train) [74][ 500/1252] lr: 2.3891e-02 eta: 2 days, 15:34:57 time: 0.3778 data_time: 0.0025 loss: 2.6014 03/10 14:52:14 - mmengine - INFO - Epoch(train) [74][ 600/1252] lr: 2.3891e-02 eta: 2 days, 15:30:46 time: 0.3075 data_time: 0.0085 loss: 2.6816 03/10 14:52:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:52:48 - mmengine - INFO - Epoch(train) [74][ 700/1252] lr: 2.3891e-02 eta: 2 days, 15:30:05 time: 0.3617 data_time: 0.0514 loss: 2.5772 03/10 14:53:22 - mmengine - INFO - Epoch(train) [74][ 800/1252] lr: 2.3891e-02 eta: 2 days, 15:27:37 time: 0.4108 data_time: 0.1162 loss: 2.6930 03/10 14:53:56 - mmengine - INFO - Epoch(train) [74][ 900/1252] lr: 2.3891e-02 eta: 2 days, 15:25:41 time: 0.3476 data_time: 0.1707 loss: 2.6615 03/10 14:54:29 - mmengine - INFO - Epoch(train) [74][1000/1252] lr: 2.3891e-02 eta: 2 days, 15:22:48 time: 0.3011 data_time: 0.1459 loss: 2.6509 03/10 14:55:04 - mmengine - INFO - Epoch(train) [74][1100/1252] lr: 2.3891e-02 eta: 2 days, 15:21:41 time: 0.2943 data_time: 0.0061 loss: 2.5886 03/10 14:55:38 - mmengine - INFO - Epoch(train) [74][1200/1252] lr: 2.3891e-02 eta: 2 days, 15:20:45 time: 0.3803 data_time: 0.0024 loss: 2.4934 03/10 14:55:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:55:55 - mmengine - INFO - Saving checkpoint at 74 epochs 03/10 14:56:21 - mmengine - INFO - Epoch(val) [74][49/49] accuracy/top1: 38.7020 accuracy/top5: 63.6840 03/10 14:56:58 - mmengine - INFO - Epoch(train) [75][ 100/1252] lr: 2.3246e-02 eta: 2 days, 15:21:43 time: 0.4201 data_time: 0.2698 loss: 2.6594 03/10 14:57:31 - mmengine - INFO - Epoch(train) [75][ 200/1252] lr: 2.3246e-02 eta: 2 days, 15:17:33 time: 0.3589 data_time: 0.0025 loss: 2.5916 03/10 14:58:05 - mmengine - INFO - Epoch(train) [75][ 300/1252] lr: 2.3246e-02 eta: 2 days, 15:16:18 time: 0.2990 data_time: 0.1809 loss: 2.5338 03/10 14:58:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 14:58:39 - mmengine - INFO - Epoch(train) [75][ 400/1252] lr: 2.3246e-02 eta: 2 days, 15:14:54 time: 0.3610 data_time: 0.1112 loss: 2.4769 03/10 14:59:13 - mmengine - INFO - Epoch(train) [75][ 500/1252] lr: 2.3246e-02 eta: 2 days, 15:12:42 time: 0.3575 data_time: 0.0026 loss: 2.5274 03/10 14:59:47 - mmengine - INFO - Epoch(train) [75][ 600/1252] lr: 2.3246e-02 eta: 2 days, 15:11:24 time: 0.3994 data_time: 0.0927 loss: 2.5856 03/10 15:00:20 - mmengine - INFO - Epoch(train) [75][ 700/1252] lr: 2.3246e-02 eta: 2 days, 15:08:53 time: 0.3427 data_time: 0.0029 loss: 2.5073 03/10 15:00:54 - mmengine - INFO - Epoch(train) [75][ 800/1252] lr: 2.3246e-02 eta: 2 days, 15:07:05 time: 0.3190 data_time: 0.0026 loss: 2.5477 03/10 15:01:28 - mmengine - INFO - Epoch(train) [75][ 900/1252] lr: 2.3246e-02 eta: 2 days, 15:04:54 time: 0.3298 data_time: 0.0034 loss: 2.5481 03/10 15:02:02 - mmengine - INFO - Epoch(train) [75][1000/1252] lr: 2.3246e-02 eta: 2 days, 15:03:56 time: 0.3513 data_time: 0.0027 loss: 2.6293 03/10 15:02:35 - mmengine - INFO - Epoch(train) [75][1100/1252] lr: 2.3246e-02 eta: 2 days, 15:01:13 time: 0.3158 data_time: 0.1486 loss: 2.4834 03/10 15:03:11 - mmengine - INFO - Epoch(train) [75][1200/1252] lr: 2.3246e-02 eta: 2 days, 15:03:02 time: 0.3930 data_time: 0.0035 loss: 2.6894 03/10 15:03:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:03:27 - mmengine - INFO - Saving checkpoint at 75 epochs 03/10 15:03:53 - mmengine - INFO - Epoch(val) [75][49/49] accuracy/top1: 44.8240 accuracy/top5: 70.0180 03/10 15:04:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:04:28 - mmengine - INFO - Epoch(train) [76][ 100/1252] lr: 2.3246e-02 eta: 2 days, 15:00:40 time: 0.3562 data_time: 0.0025 loss: 2.5439 03/10 15:05:03 - mmengine - INFO - Epoch(train) [76][ 200/1252] lr: 2.3246e-02 eta: 2 days, 15:00:01 time: 0.3438 data_time: 0.0025 loss: 2.5783 03/10 15:05:37 - mmengine - INFO - Epoch(train) [76][ 300/1252] lr: 2.3246e-02 eta: 2 days, 14:58:22 time: 0.3601 data_time: 0.0026 loss: 2.6815 03/10 15:06:11 - mmengine - INFO - Epoch(train) [76][ 400/1252] lr: 2.3246e-02 eta: 2 days, 14:57:01 time: 0.3814 data_time: 0.0024 loss: 2.6027 03/10 15:06:44 - mmengine - INFO - Epoch(train) [76][ 500/1252] lr: 2.3246e-02 eta: 2 days, 14:54:50 time: 0.3279 data_time: 0.0053 loss: 2.6066 03/10 15:07:18 - mmengine - INFO - Epoch(train) [76][ 600/1252] lr: 2.3246e-02 eta: 2 days, 14:53:12 time: 0.3460 data_time: 0.0077 loss: 2.5409 03/10 15:07:52 - mmengine - INFO - Epoch(train) [76][ 700/1252] lr: 2.3246e-02 eta: 2 days, 14:52:11 time: 0.3242 data_time: 0.0032 loss: 2.6375 03/10 15:08:25 - mmengine - INFO - Epoch(train) [76][ 800/1252] lr: 2.3246e-02 eta: 2 days, 14:50:25 time: 0.3781 data_time: 0.0024 loss: 2.6362 03/10 15:08:59 - mmengine - INFO - Epoch(train) [76][ 900/1252] lr: 2.3246e-02 eta: 2 days, 14:48:40 time: 0.2854 data_time: 0.1492 loss: 2.5458 03/10 15:09:33 - mmengine - INFO - Epoch(train) [76][1000/1252] lr: 2.3246e-02 eta: 2 days, 14:47:59 time: 0.3497 data_time: 0.0025 loss: 2.5754 03/10 15:10:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:10:07 - mmengine - INFO - Epoch(train) [76][1100/1252] lr: 2.3246e-02 eta: 2 days, 14:46:53 time: 0.3586 data_time: 0.0028 loss: 2.6324 03/10 15:10:41 - mmengine - INFO - Epoch(train) [76][1200/1252] lr: 2.3246e-02 eta: 2 days, 14:45:17 time: 0.3727 data_time: 0.0035 loss: 2.6566 03/10 15:10:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:10:58 - mmengine - INFO - Saving checkpoint at 76 epochs 03/10 15:11:24 - mmengine - INFO - Epoch(val) [76][49/49] accuracy/top1: 49.2300 accuracy/top5: 73.7720 03/10 15:12:00 - mmengine - INFO - Epoch(train) [77][ 100/1252] lr: 2.2619e-02 eta: 2 days, 14:45:00 time: 0.3150 data_time: 0.0028 loss: 2.4637 03/10 15:12:34 - mmengine - INFO - Epoch(train) [77][ 200/1252] lr: 2.2619e-02 eta: 2 days, 14:44:06 time: 0.3597 data_time: 0.0028 loss: 2.5418 03/10 15:13:08 - mmengine - INFO - Epoch(train) [77][ 300/1252] lr: 2.2619e-02 eta: 2 days, 14:43:13 time: 0.3844 data_time: 0.0298 loss: 2.6503 03/10 15:13:41 - mmengine - INFO - Epoch(train) [77][ 400/1252] lr: 2.2619e-02 eta: 2 days, 14:40:55 time: 0.3333 data_time: 0.0484 loss: 2.5231 03/10 15:14:16 - mmengine - INFO - Epoch(train) [77][ 500/1252] lr: 2.2619e-02 eta: 2 days, 14:40:13 time: 0.3413 data_time: 0.0031 loss: 2.5474 03/10 15:14:50 - mmengine - INFO - Epoch(train) [77][ 600/1252] lr: 2.2619e-02 eta: 2 days, 14:38:53 time: 0.3362 data_time: 0.0026 loss: 2.6721 03/10 15:15:26 - mmengine - INFO - Epoch(train) [77][ 700/1252] lr: 2.2619e-02 eta: 2 days, 14:40:09 time: 0.3588 data_time: 0.0023 loss: 2.6078 03/10 15:15:59 - mmengine - INFO - Epoch(train) [77][ 800/1252] lr: 2.2619e-02 eta: 2 days, 14:38:47 time: 0.3959 data_time: 0.0490 loss: 2.5775 03/10 15:16:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:16:33 - mmengine - INFO - Epoch(train) [77][ 900/1252] lr: 2.2619e-02 eta: 2 days, 14:37:33 time: 0.3360 data_time: 0.2228 loss: 2.6605 03/10 15:17:07 - mmengine - INFO - Epoch(train) [77][1000/1252] lr: 2.2619e-02 eta: 2 days, 14:36:01 time: 0.3311 data_time: 0.0666 loss: 2.5474 03/10 15:17:41 - mmengine - INFO - Epoch(train) [77][1100/1252] lr: 2.2619e-02 eta: 2 days, 14:34:47 time: 0.3458 data_time: 0.0024 loss: 2.7218 03/10 15:18:15 - mmengine - INFO - Epoch(train) [77][1200/1252] lr: 2.2619e-02 eta: 2 days, 14:33:49 time: 0.3663 data_time: 0.0171 loss: 2.6978 03/10 15:18:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:18:32 - mmengine - INFO - Saving checkpoint at 77 epochs 03/10 15:18:57 - mmengine - INFO - Epoch(val) [77][49/49] accuracy/top1: 47.2220 accuracy/top5: 72.1340 03/10 15:19:33 - mmengine - INFO - Epoch(train) [78][ 100/1252] lr: 2.2619e-02 eta: 2 days, 14:33:37 time: 0.3238 data_time: 0.1787 loss: 2.5948 03/10 15:20:08 - mmengine - INFO - Epoch(train) [78][ 200/1252] lr: 2.2619e-02 eta: 2 days, 14:33:18 time: 0.2867 data_time: 0.1614 loss: 2.6147 03/10 15:20:42 - mmengine - INFO - Epoch(train) [78][ 300/1252] lr: 2.2619e-02 eta: 2 days, 14:31:52 time: 0.3328 data_time: 0.2161 loss: 2.4313 03/10 15:21:15 - mmengine - INFO - Epoch(train) [78][ 400/1252] lr: 2.2619e-02 eta: 2 days, 14:30:06 time: 0.3496 data_time: 0.0555 loss: 2.5513 03/10 15:21:49 - mmengine - INFO - Epoch(train) [78][ 500/1252] lr: 2.2619e-02 eta: 2 days, 14:28:48 time: 0.3169 data_time: 0.0029 loss: 2.6855 03/10 15:22:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:22:24 - mmengine - INFO - Epoch(train) [78][ 600/1252] lr: 2.2619e-02 eta: 2 days, 14:28:43 time: 0.3031 data_time: 0.0661 loss: 2.5662 03/10 15:22:58 - mmengine - INFO - Epoch(train) [78][ 700/1252] lr: 2.2619e-02 eta: 2 days, 14:28:28 time: 0.3636 data_time: 0.0638 loss: 2.5500 03/10 15:23:45 - mmengine - INFO - Epoch(train) [78][ 800/1252] lr: 2.2619e-02 eta: 2 days, 14:39:48 time: 0.8441 data_time: 0.0038 loss: 2.6334 03/10 15:24:59 - mmengine - INFO - Epoch(train) [78][ 900/1252] lr: 2.2619e-02 eta: 2 days, 15:18:48 time: 0.6303 data_time: 0.1296 loss: 2.3759 03/10 15:25:55 - mmengine - INFO - Epoch(train) [78][1000/1252] lr: 2.2619e-02 eta: 2 days, 15:39:21 time: 0.3839 data_time: 0.2639 loss: 2.5196 03/10 15:26:29 - mmengine - INFO - Epoch(train) [78][1100/1252] lr: 2.2619e-02 eta: 2 days, 15:37:12 time: 0.3677 data_time: 0.0026 loss: 2.6676 03/10 15:27:02 - mmengine - INFO - Epoch(train) [78][1200/1252] lr: 2.2619e-02 eta: 2 days, 15:35:12 time: 0.3290 data_time: 0.0028 loss: 2.6451 03/10 15:27:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:27:19 - mmengine - INFO - Saving checkpoint at 78 epochs 03/10 15:27:43 - mmengine - INFO - Epoch(val) [78][49/49] accuracy/top1: 48.2560 accuracy/top5: 73.1880 03/10 15:28:20 - mmengine - INFO - Epoch(train) [79][ 100/1252] lr: 2.2008e-02 eta: 2 days, 15:33:52 time: 0.3538 data_time: 0.0985 loss: 2.5963 03/10 15:28:54 - mmengine - INFO - Epoch(train) [79][ 200/1252] lr: 2.2008e-02 eta: 2 days, 15:32:17 time: 0.3122 data_time: 0.0027 loss: 2.5593 03/10 15:29:27 - mmengine - INFO - Epoch(train) [79][ 300/1252] lr: 2.2008e-02 eta: 2 days, 15:30:38 time: 0.3450 data_time: 0.0892 loss: 2.4860 03/10 15:29:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:30:02 - mmengine - INFO - Epoch(train) [79][ 400/1252] lr: 2.2008e-02 eta: 2 days, 15:29:20 time: 0.3808 data_time: 0.0222 loss: 2.6006 03/10 15:30:35 - mmengine - INFO - Epoch(train) [79][ 500/1252] lr: 2.2008e-02 eta: 2 days, 15:26:50 time: 0.3453 data_time: 0.0033 loss: 2.5630 03/10 15:31:08 - mmengine - INFO - Epoch(train) [79][ 600/1252] lr: 2.2008e-02 eta: 2 days, 15:25:02 time: 0.3407 data_time: 0.0151 loss: 2.4496 03/10 15:31:43 - mmengine - INFO - Epoch(train) [79][ 700/1252] lr: 2.2008e-02 eta: 2 days, 15:23:59 time: 0.3697 data_time: 0.0470 loss: 2.6183 03/10 15:32:17 - mmengine - INFO - Epoch(train) [79][ 800/1252] lr: 2.2008e-02 eta: 2 days, 15:22:16 time: 0.3789 data_time: 0.0183 loss: 2.6062 03/10 15:32:51 - mmengine - INFO - Epoch(train) [79][ 900/1252] lr: 2.2008e-02 eta: 2 days, 15:21:20 time: 0.3444 data_time: 0.0515 loss: 2.5109 03/10 15:33:25 - mmengine - INFO - Epoch(train) [79][1000/1252] lr: 2.2008e-02 eta: 2 days, 15:19:50 time: 0.3462 data_time: 0.1405 loss: 2.5323 03/10 15:33:59 - mmengine - INFO - Epoch(train) [79][1100/1252] lr: 2.2008e-02 eta: 2 days, 15:17:46 time: 0.3051 data_time: 0.1206 loss: 2.4894 03/10 15:34:33 - mmengine - INFO - Epoch(train) [79][1200/1252] lr: 2.2008e-02 eta: 2 days, 15:16:22 time: 0.3185 data_time: 0.0027 loss: 2.5641 03/10 15:34:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:34:49 - mmengine - INFO - Saving checkpoint at 79 epochs 03/10 15:35:15 - mmengine - INFO - Epoch(val) [79][49/49] accuracy/top1: 51.8480 accuracy/top5: 76.5080 03/10 15:35:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:35:51 - mmengine - INFO - Epoch(train) [80][ 100/1252] lr: 2.2008e-02 eta: 2 days, 15:15:11 time: 0.3577 data_time: 0.0028 loss: 2.6089 03/10 15:36:25 - mmengine - INFO - Epoch(train) [80][ 200/1252] lr: 2.2008e-02 eta: 2 days, 15:14:04 time: 0.3314 data_time: 0.0026 loss: 2.5416 03/10 15:36:59 - mmengine - INFO - Epoch(train) [80][ 300/1252] lr: 2.2008e-02 eta: 2 days, 15:12:37 time: 0.3683 data_time: 0.0026 loss: 2.6712 03/10 15:37:34 - mmengine - INFO - Epoch(train) [80][ 400/1252] lr: 2.2008e-02 eta: 2 days, 15:11:31 time: 0.3483 data_time: 0.0026 loss: 2.5285 03/10 15:38:07 - mmengine - INFO - Epoch(train) [80][ 500/1252] lr: 2.2008e-02 eta: 2 days, 15:09:18 time: 0.2831 data_time: 0.0027 loss: 2.6118 03/10 15:38:41 - mmengine - INFO - Epoch(train) [80][ 600/1252] lr: 2.2008e-02 eta: 2 days, 15:08:26 time: 0.3883 data_time: 0.0023 loss: 2.4585 03/10 15:39:14 - mmengine - INFO - Epoch(train) [80][ 700/1252] lr: 2.2008e-02 eta: 2 days, 15:06:15 time: 0.3144 data_time: 0.0448 loss: 2.6471 03/10 15:39:48 - mmengine - INFO - Epoch(train) [80][ 800/1252] lr: 2.2008e-02 eta: 2 days, 15:04:36 time: 0.2891 data_time: 0.0028 loss: 2.6779 03/10 15:40:23 - mmengine - INFO - Epoch(train) [80][ 900/1252] lr: 2.2008e-02 eta: 2 days, 15:04:20 time: 0.3642 data_time: 0.0023 loss: 2.6390 03/10 15:40:59 - mmengine - INFO - Epoch(train) [80][1000/1252] lr: 2.2008e-02 eta: 2 days, 15:04:22 time: 0.2940 data_time: 0.0033 loss: 2.4860 03/10 15:41:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:41:33 - mmengine - INFO - Epoch(train) [80][1100/1252] lr: 2.2008e-02 eta: 2 days, 15:03:21 time: 0.3266 data_time: 0.0030 loss: 2.4788 03/10 15:42:32 - mmengine - INFO - Epoch(train) [80][1200/1252] lr: 2.2008e-02 eta: 2 days, 15:21:30 time: 0.5957 data_time: 0.0039 loss: 2.4950 03/10 15:43:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:43:10 - mmengine - INFO - Saving checkpoint at 80 epochs 03/10 15:43:56 - mmengine - INFO - Epoch(val) [80][49/49] accuracy/top1: 48.5220 accuracy/top5: 73.3340 03/10 15:44:33 - mmengine - INFO - Epoch(train) [81][ 100/1252] lr: 2.1414e-02 eta: 2 days, 15:36:48 time: 0.3840 data_time: 0.0068 loss: 2.5560 03/10 15:45:06 - mmengine - INFO - Epoch(train) [81][ 200/1252] lr: 2.1414e-02 eta: 2 days, 15:34:34 time: 0.3080 data_time: 0.1206 loss: 2.6232 03/10 15:45:41 - mmengine - INFO - Epoch(train) [81][ 300/1252] lr: 2.1414e-02 eta: 2 days, 15:33:47 time: 0.3182 data_time: 0.0305 loss: 2.5218 03/10 15:46:17 - mmengine - INFO - Epoch(train) [81][ 400/1252] lr: 2.1414e-02 eta: 2 days, 15:33:51 time: 0.3910 data_time: 0.0028 loss: 2.4337 03/10 15:46:51 - mmengine - INFO - Epoch(train) [81][ 500/1252] lr: 2.1414e-02 eta: 2 days, 15:32:35 time: 0.3269 data_time: 0.0221 loss: 2.5664 03/10 15:47:27 - mmengine - INFO - Epoch(train) [81][ 600/1252] lr: 2.1414e-02 eta: 2 days, 15:32:24 time: 0.3631 data_time: 0.0021 loss: 2.4283 03/10 15:48:02 - mmengine - INFO - Epoch(train) [81][ 700/1252] lr: 2.1414e-02 eta: 2 days, 15:31:32 time: 0.3490 data_time: 0.0024 loss: 2.5241 03/10 15:48:37 - mmengine - INFO - Epoch(train) [81][ 800/1252] lr: 2.1414e-02 eta: 2 days, 15:31:13 time: 0.3809 data_time: 0.0466 loss: 2.6104 03/10 15:48:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:49:11 - mmengine - INFO - Epoch(train) [81][ 900/1252] lr: 2.1414e-02 eta: 2 days, 15:29:49 time: 0.3574 data_time: 0.0222 loss: 2.6078 03/10 15:49:45 - mmengine - INFO - Epoch(train) [81][1000/1252] lr: 2.1414e-02 eta: 2 days, 15:27:58 time: 0.3249 data_time: 0.0611 loss: 2.5356 03/10 15:50:19 - mmengine - INFO - Epoch(train) [81][1100/1252] lr: 2.1414e-02 eta: 2 days, 15:26:17 time: 0.3130 data_time: 0.0026 loss: 2.7151 03/10 15:50:53 - mmengine - INFO - Epoch(train) [81][1200/1252] lr: 2.1414e-02 eta: 2 days, 15:25:10 time: 0.3052 data_time: 0.1863 loss: 2.5110 03/10 15:51:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:51:10 - mmengine - INFO - Saving checkpoint at 81 epochs 03/10 15:51:34 - mmengine - INFO - Epoch(val) [81][49/49] accuracy/top1: 49.6520 accuracy/top5: 74.5800 03/10 15:52:10 - mmengine - INFO - Epoch(train) [82][ 100/1252] lr: 2.1414e-02 eta: 2 days, 15:23:35 time: 0.3710 data_time: 0.0025 loss: 2.4678 03/10 15:52:44 - mmengine - INFO - Epoch(train) [82][ 200/1252] lr: 2.1414e-02 eta: 2 days, 15:21:57 time: 0.3636 data_time: 0.0911 loss: 2.6547 03/10 15:53:19 - mmengine - INFO - Epoch(train) [82][ 300/1252] lr: 2.1414e-02 eta: 2 days, 15:20:56 time: 0.3937 data_time: 0.0430 loss: 2.4818 03/10 15:53:52 - mmengine - INFO - Epoch(train) [82][ 400/1252] lr: 2.1414e-02 eta: 2 days, 15:19:12 time: 0.3032 data_time: 0.0027 loss: 2.4504 03/10 15:54:26 - mmengine - INFO - Epoch(train) [82][ 500/1252] lr: 2.1414e-02 eta: 2 days, 15:17:40 time: 0.3544 data_time: 0.1234 loss: 2.5913 03/10 15:54:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:55:00 - mmengine - INFO - Epoch(train) [82][ 600/1252] lr: 2.1414e-02 eta: 2 days, 15:15:58 time: 0.3394 data_time: 0.2235 loss: 2.5089 03/10 15:55:33 - mmengine - INFO - Epoch(train) [82][ 700/1252] lr: 2.1414e-02 eta: 2 days, 15:14:28 time: 0.3213 data_time: 0.1889 loss: 2.5249 03/10 15:56:08 - mmengine - INFO - Epoch(train) [82][ 800/1252] lr: 2.1414e-02 eta: 2 days, 15:13:55 time: 0.3532 data_time: 0.0240 loss: 2.5921 03/10 15:56:42 - mmengine - INFO - Epoch(train) [82][ 900/1252] lr: 2.1414e-02 eta: 2 days, 15:12:04 time: 0.3311 data_time: 0.0029 loss: 2.6832 03/10 15:57:17 - mmengine - INFO - Epoch(train) [82][1000/1252] lr: 2.1414e-02 eta: 2 days, 15:11:26 time: 0.3420 data_time: 0.2079 loss: 2.4984 03/10 15:57:49 - mmengine - INFO - Epoch(train) [82][1100/1252] lr: 2.1414e-02 eta: 2 days, 15:09:10 time: 0.2816 data_time: 0.0037 loss: 2.5894 03/10 15:58:23 - mmengine - INFO - Epoch(train) [82][1200/1252] lr: 2.1414e-02 eta: 2 days, 15:07:44 time: 0.2974 data_time: 0.1276 loss: 2.5376 03/10 15:58:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 15:58:41 - mmengine - INFO - Saving checkpoint at 82 epochs 03/10 15:59:06 - mmengine - INFO - Epoch(val) [82][49/49] accuracy/top1: 47.4220 accuracy/top5: 72.4240 03/10 15:59:43 - mmengine - INFO - Epoch(train) [83][ 100/1252] lr: 2.0836e-02 eta: 2 days, 15:07:21 time: 0.3636 data_time: 0.0028 loss: 2.5160 03/10 16:00:16 - mmengine - INFO - Epoch(train) [83][ 200/1252] lr: 2.0836e-02 eta: 2 days, 15:05:45 time: 0.3103 data_time: 0.0174 loss: 2.5171 03/10 16:00:51 - mmengine - INFO - Epoch(train) [83][ 300/1252] lr: 2.0836e-02 eta: 2 days, 15:05:11 time: 0.3525 data_time: 0.1060 loss: 2.4795 03/10 16:01:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:01:25 - mmengine - INFO - Epoch(train) [83][ 400/1252] lr: 2.0836e-02 eta: 2 days, 15:03:29 time: 0.3029 data_time: 0.0025 loss: 2.5320 03/10 16:01:58 - mmengine - INFO - Epoch(train) [83][ 500/1252] lr: 2.0836e-02 eta: 2 days, 15:02:05 time: 0.3394 data_time: 0.0052 loss: 2.4615 03/10 16:02:32 - mmengine - INFO - Epoch(train) [83][ 600/1252] lr: 2.0836e-02 eta: 2 days, 15:00:50 time: 0.3272 data_time: 0.1255 loss: 2.4418 03/10 16:03:07 - mmengine - INFO - Epoch(train) [83][ 700/1252] lr: 2.0836e-02 eta: 2 days, 14:59:59 time: 0.3922 data_time: 0.0029 loss: 2.6312 03/10 16:03:41 - mmengine - INFO - Epoch(train) [83][ 800/1252] lr: 2.0836e-02 eta: 2 days, 14:58:33 time: 0.2823 data_time: 0.0658 loss: 2.4442 03/10 16:04:14 - mmengine - INFO - Epoch(train) [83][ 900/1252] lr: 2.0836e-02 eta: 2 days, 14:56:47 time: 0.3092 data_time: 0.0026 loss: 2.6263 03/10 16:04:48 - mmengine - INFO - Epoch(train) [83][1000/1252] lr: 2.0836e-02 eta: 2 days, 14:55:54 time: 0.3314 data_time: 0.0188 loss: 2.5081 03/10 16:05:22 - mmengine - INFO - Epoch(train) [83][1100/1252] lr: 2.0836e-02 eta: 2 days, 14:54:32 time: 0.3146 data_time: 0.1555 loss: 2.4680 03/10 16:05:57 - mmengine - INFO - Epoch(train) [83][1200/1252] lr: 2.0836e-02 eta: 2 days, 14:53:39 time: 0.3624 data_time: 0.1573 loss: 2.6474 03/10 16:06:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:06:13 - mmengine - INFO - Saving checkpoint at 83 epochs 03/10 16:06:37 - mmengine - INFO - Epoch(val) [83][49/49] accuracy/top1: 47.1960 accuracy/top5: 72.1620 03/10 16:07:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:07:12 - mmengine - INFO - Epoch(train) [84][ 100/1252] lr: 2.0836e-02 eta: 2 days, 14:51:36 time: 0.2759 data_time: 0.0112 loss: 2.5955 03/10 16:07:47 - mmengine - INFO - Epoch(train) [84][ 200/1252] lr: 2.0836e-02 eta: 2 days, 14:51:08 time: 0.2868 data_time: 0.0026 loss: 2.4726 03/10 16:08:21 - mmengine - INFO - Epoch(train) [84][ 300/1252] lr: 2.0836e-02 eta: 2 days, 14:49:28 time: 0.3448 data_time: 0.0026 loss: 2.5773 03/10 16:08:55 - mmengine - INFO - Epoch(train) [84][ 400/1252] lr: 2.0836e-02 eta: 2 days, 14:48:28 time: 0.3693 data_time: 0.0168 loss: 2.4604 03/10 16:09:29 - mmengine - INFO - Epoch(train) [84][ 500/1252] lr: 2.0836e-02 eta: 2 days, 14:47:12 time: 0.3579 data_time: 0.2099 loss: 2.4515 03/10 16:10:02 - mmengine - INFO - Epoch(train) [84][ 600/1252] lr: 2.0836e-02 eta: 2 days, 14:45:31 time: 0.3584 data_time: 0.1025 loss: 2.5942 03/10 16:10:36 - mmengine - INFO - Epoch(train) [84][ 700/1252] lr: 2.0836e-02 eta: 2 days, 14:44:30 time: 0.3449 data_time: 0.0909 loss: 2.5453 03/10 16:11:09 - mmengine - INFO - Epoch(train) [84][ 800/1252] lr: 2.0836e-02 eta: 2 days, 14:42:50 time: 0.2909 data_time: 0.0027 loss: 2.5885 03/10 16:11:44 - mmengine - INFO - Epoch(train) [84][ 900/1252] lr: 2.0836e-02 eta: 2 days, 14:41:58 time: 0.3814 data_time: 0.0036 loss: 2.5908 03/10 16:12:18 - mmengine - INFO - Epoch(train) [84][1000/1252] lr: 2.0836e-02 eta: 2 days, 14:41:13 time: 0.4429 data_time: 0.0181 loss: 2.5563 03/10 16:12:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:12:51 - mmengine - INFO - Epoch(train) [84][1100/1252] lr: 2.0836e-02 eta: 2 days, 14:39:25 time: 0.3082 data_time: 0.0568 loss: 2.5809 03/10 16:13:26 - mmengine - INFO - Epoch(train) [84][1200/1252] lr: 2.0836e-02 eta: 2 days, 14:38:28 time: 0.3044 data_time: 0.1839 loss: 2.6292 03/10 16:13:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:13:43 - mmengine - INFO - Saving checkpoint at 84 epochs 03/10 16:14:09 - mmengine - INFO - Epoch(val) [84][49/49] accuracy/top1: 47.6440 accuracy/top5: 72.6000 03/10 16:14:45 - mmengine - INFO - Epoch(train) [85][ 100/1252] lr: 2.0273e-02 eta: 2 days, 14:37:56 time: 0.3417 data_time: 0.0913 loss: 2.6279 03/10 16:15:20 - mmengine - INFO - Epoch(train) [85][ 200/1252] lr: 2.0273e-02 eta: 2 days, 14:37:06 time: 0.3471 data_time: 0.0023 loss: 2.5323 03/10 16:15:54 - mmengine - INFO - Epoch(train) [85][ 300/1252] lr: 2.0273e-02 eta: 2 days, 14:35:49 time: 0.3934 data_time: 0.0028 loss: 2.3643 03/10 16:16:28 - mmengine - INFO - Epoch(train) [85][ 400/1252] lr: 2.0273e-02 eta: 2 days, 14:34:52 time: 0.3446 data_time: 0.0022 loss: 2.5835 03/10 16:17:02 - mmengine - INFO - Epoch(train) [85][ 500/1252] lr: 2.0273e-02 eta: 2 days, 14:33:57 time: 0.3445 data_time: 0.0894 loss: 2.5168 03/10 16:17:36 - mmengine - INFO - Epoch(train) [85][ 600/1252] lr: 2.0273e-02 eta: 2 days, 14:32:40 time: 0.3062 data_time: 0.1779 loss: 2.4950 03/10 16:18:11 - mmengine - INFO - Epoch(train) [85][ 700/1252] lr: 2.0273e-02 eta: 2 days, 14:31:59 time: 0.3964 data_time: 0.0330 loss: 2.5472 03/10 16:18:45 - mmengine - INFO - Epoch(train) [85][ 800/1252] lr: 2.0273e-02 eta: 2 days, 14:30:59 time: 0.3519 data_time: 0.0230 loss: 2.4842 03/10 16:18:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:19:19 - mmengine - INFO - Epoch(train) [85][ 900/1252] lr: 2.0273e-02 eta: 2 days, 14:30:03 time: 0.3710 data_time: 0.2428 loss: 2.5536 03/10 16:19:54 - mmengine - INFO - Epoch(train) [85][1000/1252] lr: 2.0273e-02 eta: 2 days, 14:29:09 time: 0.3862 data_time: 0.1304 loss: 2.6251 03/10 16:20:28 - mmengine - INFO - Epoch(train) [85][1100/1252] lr: 2.0273e-02 eta: 2 days, 14:28:17 time: 0.4283 data_time: 0.1620 loss: 2.5042 03/10 16:21:02 - mmengine - INFO - Epoch(train) [85][1200/1252] lr: 2.0273e-02 eta: 2 days, 14:27:04 time: 0.2729 data_time: 0.0026 loss: 2.5156 03/10 16:21:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:21:19 - mmengine - INFO - Saving checkpoint at 85 epochs 03/10 16:21:44 - mmengine - INFO - Epoch(val) [85][49/49] accuracy/top1: 49.5580 accuracy/top5: 74.3540 03/10 16:22:20 - mmengine - INFO - Epoch(train) [86][ 100/1252] lr: 2.0273e-02 eta: 2 days, 14:26:03 time: 0.3179 data_time: 0.0025 loss: 2.6341 03/10 16:22:55 - mmengine - INFO - Epoch(train) [86][ 200/1252] lr: 2.0273e-02 eta: 2 days, 14:25:14 time: 0.3529 data_time: 0.1194 loss: 2.5189 03/10 16:23:29 - mmengine - INFO - Epoch(train) [86][ 300/1252] lr: 2.0273e-02 eta: 2 days, 14:24:37 time: 0.3036 data_time: 0.1629 loss: 2.4692 03/10 16:24:04 - mmengine - INFO - Epoch(train) [86][ 400/1252] lr: 2.0273e-02 eta: 2 days, 14:23:36 time: 0.4034 data_time: 0.0190 loss: 2.6514 03/10 16:24:37 - mmengine - INFO - Epoch(train) [86][ 500/1252] lr: 2.0273e-02 eta: 2 days, 14:22:07 time: 0.3019 data_time: 0.0025 loss: 2.4610 03/10 16:25:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:25:12 - mmengine - INFO - Epoch(train) [86][ 600/1252] lr: 2.0273e-02 eta: 2 days, 14:21:32 time: 0.3357 data_time: 0.0023 loss: 2.5730 03/10 16:25:46 - mmengine - INFO - Epoch(train) [86][ 700/1252] lr: 2.0273e-02 eta: 2 days, 14:20:34 time: 0.3419 data_time: 0.0023 loss: 2.4969 03/10 16:26:18 - mmengine - INFO - Epoch(train) [86][ 800/1252] lr: 2.0273e-02 eta: 2 days, 14:18:48 time: 0.3186 data_time: 0.1933 loss: 2.4989 03/10 16:26:53 - mmengine - INFO - Epoch(train) [86][ 900/1252] lr: 2.0273e-02 eta: 2 days, 14:17:57 time: 0.3529 data_time: 0.1270 loss: 2.5269 03/10 16:27:27 - mmengine - INFO - Epoch(train) [86][1000/1252] lr: 2.0273e-02 eta: 2 days, 14:16:51 time: 0.2996 data_time: 0.0716 loss: 2.6431 03/10 16:28:01 - mmengine - INFO - Epoch(train) [86][1100/1252] lr: 2.0273e-02 eta: 2 days, 14:15:55 time: 0.3497 data_time: 0.0021 loss: 2.4730 03/10 16:28:35 - mmengine - INFO - Epoch(train) [86][1200/1252] lr: 2.0273e-02 eta: 2 days, 14:15:00 time: 0.3238 data_time: 0.0022 loss: 2.5609 03/10 16:28:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:28:52 - mmengine - INFO - Saving checkpoint at 86 epochs 03/10 16:29:16 - mmengine - INFO - Epoch(val) [86][49/49] accuracy/top1: 49.7980 accuracy/top5: 74.7300 03/10 16:29:52 - mmengine - INFO - Epoch(train) [87][ 100/1252] lr: 1.9726e-02 eta: 2 days, 14:14:01 time: 0.3777 data_time: 0.1128 loss: 2.6213 03/10 16:30:25 - mmengine - INFO - Epoch(train) [87][ 200/1252] lr: 1.9726e-02 eta: 2 days, 14:12:36 time: 0.3289 data_time: 0.0026 loss: 2.4981 03/10 16:30:59 - mmengine - INFO - Epoch(train) [87][ 300/1252] lr: 1.9726e-02 eta: 2 days, 14:11:36 time: 0.3317 data_time: 0.0353 loss: 2.4744 03/10 16:31:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:31:33 - mmengine - INFO - Epoch(train) [87][ 400/1252] lr: 1.9726e-02 eta: 2 days, 14:10:32 time: 0.3099 data_time: 0.1877 loss: 2.4048 03/10 16:32:08 - mmengine - INFO - Epoch(train) [87][ 500/1252] lr: 1.9726e-02 eta: 2 days, 14:09:39 time: 0.3989 data_time: 0.0872 loss: 2.4954 03/10 16:32:42 - mmengine - INFO - Epoch(train) [87][ 600/1252] lr: 1.9726e-02 eta: 2 days, 14:08:38 time: 0.3211 data_time: 0.0022 loss: 2.5920 03/10 16:33:15 - mmengine - INFO - Epoch(train) [87][ 700/1252] lr: 1.9726e-02 eta: 2 days, 14:07:34 time: 0.3234 data_time: 0.0029 loss: 2.5323 03/10 16:33:50 - mmengine - INFO - Epoch(train) [87][ 800/1252] lr: 1.9726e-02 eta: 2 days, 14:06:49 time: 0.3148 data_time: 0.1697 loss: 2.6154 03/10 16:34:23 - mmengine - INFO - Epoch(train) [87][ 900/1252] lr: 1.9726e-02 eta: 2 days, 14:05:31 time: 0.3315 data_time: 0.1898 loss: 2.5222 03/10 16:34:57 - mmengine - INFO - Epoch(train) [87][1000/1252] lr: 1.9726e-02 eta: 2 days, 14:04:33 time: 0.3443 data_time: 0.1342 loss: 2.5664 03/10 16:35:31 - mmengine - INFO - Epoch(train) [87][1100/1252] lr: 1.9726e-02 eta: 2 days, 14:03:24 time: 0.2936 data_time: 0.0034 loss: 2.5605 03/10 16:36:06 - mmengine - INFO - Epoch(train) [87][1200/1252] lr: 1.9726e-02 eta: 2 days, 14:02:50 time: 0.3923 data_time: 0.0025 loss: 2.5766 03/10 16:36:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:36:23 - mmengine - INFO - Saving checkpoint at 87 epochs 03/10 16:36:48 - mmengine - INFO - Epoch(val) [87][49/49] accuracy/top1: 50.2040 accuracy/top5: 75.2880 03/10 16:37:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:37:24 - mmengine - INFO - Epoch(train) [88][ 100/1252] lr: 1.9726e-02 eta: 2 days, 14:02:06 time: 0.2821 data_time: 0.0026 loss: 2.5666 03/10 16:37:59 - mmengine - INFO - Epoch(train) [88][ 200/1252] lr: 1.9726e-02 eta: 2 days, 14:01:27 time: 0.3820 data_time: 0.0071 loss: 2.4729 03/10 16:38:33 - mmengine - INFO - Epoch(train) [88][ 300/1252] lr: 1.9726e-02 eta: 2 days, 14:00:45 time: 0.2941 data_time: 0.0026 loss: 2.5329 03/10 16:39:07 - mmengine - INFO - Epoch(train) [88][ 400/1252] lr: 1.9726e-02 eta: 2 days, 13:59:50 time: 0.3566 data_time: 0.2383 loss: 2.4867 03/10 16:39:41 - mmengine - INFO - Epoch(train) [88][ 500/1252] lr: 1.9726e-02 eta: 2 days, 13:58:54 time: 0.3287 data_time: 0.0022 loss: 2.4288 03/10 16:40:15 - mmengine - INFO - Epoch(train) [88][ 600/1252] lr: 1.9726e-02 eta: 2 days, 13:57:48 time: 0.3779 data_time: 0.0024 loss: 2.5890 03/10 16:40:50 - mmengine - INFO - Epoch(train) [88][ 700/1252] lr: 1.9726e-02 eta: 2 days, 13:57:02 time: 0.3162 data_time: 0.1802 loss: 2.5278 03/10 16:41:24 - mmengine - INFO - Epoch(train) [88][ 800/1252] lr: 1.9726e-02 eta: 2 days, 13:56:12 time: 0.3815 data_time: 0.1012 loss: 2.4632 03/10 16:41:57 - mmengine - INFO - Epoch(train) [88][ 900/1252] lr: 1.9726e-02 eta: 2 days, 13:55:04 time: 0.3728 data_time: 0.0328 loss: 2.3990 03/10 16:42:32 - mmengine - INFO - Epoch(train) [88][1000/1252] lr: 1.9726e-02 eta: 2 days, 13:54:34 time: 0.4096 data_time: 0.2316 loss: 2.6362 03/10 16:42:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:43:05 - mmengine - INFO - Epoch(train) [88][1100/1252] lr: 1.9726e-02 eta: 2 days, 13:53:10 time: 0.3087 data_time: 0.1842 loss: 2.5533 03/10 16:43:40 - mmengine - INFO - Epoch(train) [88][1200/1252] lr: 1.9726e-02 eta: 2 days, 13:52:29 time: 0.3666 data_time: 0.1476 loss: 2.6437 03/10 16:43:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:43:57 - mmengine - INFO - Saving checkpoint at 88 epochs 03/10 16:44:23 - mmengine - INFO - Epoch(val) [88][49/49] accuracy/top1: 47.1620 accuracy/top5: 71.9420 03/10 16:44:59 - mmengine - INFO - Epoch(train) [89][ 100/1252] lr: 1.9193e-02 eta: 2 days, 13:51:50 time: 0.3200 data_time: 0.0025 loss: 2.4480 03/10 16:45:33 - mmengine - INFO - Epoch(train) [89][ 200/1252] lr: 1.9193e-02 eta: 2 days, 13:50:53 time: 0.3418 data_time: 0.0025 loss: 2.5396 03/10 16:46:08 - mmengine - INFO - Epoch(train) [89][ 300/1252] lr: 1.9193e-02 eta: 2 days, 13:50:07 time: 0.4147 data_time: 0.2835 loss: 2.4136 03/10 16:46:41 - mmengine - INFO - Epoch(train) [89][ 400/1252] lr: 1.9193e-02 eta: 2 days, 13:48:54 time: 0.2962 data_time: 0.0048 loss: 2.6199 03/10 16:47:15 - mmengine - INFO - Epoch(train) [89][ 500/1252] lr: 1.9193e-02 eta: 2 days, 13:48:00 time: 0.3209 data_time: 0.0026 loss: 2.4521 03/10 16:47:49 - mmengine - INFO - Epoch(train) [89][ 600/1252] lr: 1.9193e-02 eta: 2 days, 13:47:09 time: 0.3561 data_time: 0.2196 loss: 2.3090 03/10 16:48:23 - mmengine - INFO - Epoch(train) [89][ 700/1252] lr: 1.9193e-02 eta: 2 days, 13:46:09 time: 0.3279 data_time: 0.0092 loss: 2.5579 03/10 16:48:57 - mmengine - INFO - Epoch(train) [89][ 800/1252] lr: 1.9193e-02 eta: 2 days, 13:45:14 time: 0.3747 data_time: 0.0108 loss: 2.5595 03/10 16:49:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:49:30 - mmengine - INFO - Epoch(train) [89][ 900/1252] lr: 1.9193e-02 eta: 2 days, 13:43:57 time: 0.3101 data_time: 0.0259 loss: 2.4870 03/10 16:50:06 - mmengine - INFO - Epoch(train) [89][1000/1252] lr: 1.9193e-02 eta: 2 days, 13:43:38 time: 0.4014 data_time: 0.1852 loss: 2.4795 03/10 16:50:39 - mmengine - INFO - Epoch(train) [89][1100/1252] lr: 1.9193e-02 eta: 2 days, 13:42:34 time: 0.3928 data_time: 0.1994 loss: 2.4516 03/10 16:51:14 - mmengine - INFO - Epoch(train) [89][1200/1252] lr: 1.9193e-02 eta: 2 days, 13:41:56 time: 0.4052 data_time: 0.0021 loss: 2.5680 03/10 16:51:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:51:30 - mmengine - INFO - Saving checkpoint at 89 epochs 03/10 16:51:55 - mmengine - INFO - Epoch(val) [89][49/49] accuracy/top1: 48.4940 accuracy/top5: 73.3760 03/10 16:52:32 - mmengine - INFO - Epoch(train) [90][ 100/1252] lr: 1.9193e-02 eta: 2 days, 13:41:03 time: 0.3721 data_time: 0.0455 loss: 2.5355 03/10 16:53:05 - mmengine - INFO - Epoch(train) [90][ 200/1252] lr: 1.9193e-02 eta: 2 days, 13:39:58 time: 0.3763 data_time: 0.1140 loss: 2.5038 03/10 16:53:39 - mmengine - INFO - Epoch(train) [90][ 300/1252] lr: 1.9193e-02 eta: 2 days, 13:38:57 time: 0.3032 data_time: 0.1679 loss: 2.4637 03/10 16:54:14 - mmengine - INFO - Epoch(train) [90][ 400/1252] lr: 1.9193e-02 eta: 2 days, 13:38:34 time: 0.3289 data_time: 0.1081 loss: 2.5540 03/10 16:54:48 - mmengine - INFO - Epoch(train) [90][ 500/1252] lr: 1.9193e-02 eta: 2 days, 13:37:38 time: 0.3682 data_time: 0.0142 loss: 2.4940 03/10 16:55:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:55:22 - mmengine - INFO - Epoch(train) [90][ 600/1252] lr: 1.9193e-02 eta: 2 days, 13:36:33 time: 0.3199 data_time: 0.0331 loss: 2.4888 03/10 16:55:56 - mmengine - INFO - Epoch(train) [90][ 700/1252] lr: 1.9193e-02 eta: 2 days, 13:35:55 time: 0.2978 data_time: 0.0031 loss: 2.4618 03/10 16:56:31 - mmengine - INFO - Epoch(train) [90][ 800/1252] lr: 1.9193e-02 eta: 2 days, 13:35:19 time: 0.3455 data_time: 0.0027 loss: 2.5411 03/10 16:57:05 - mmengine - INFO - Epoch(train) [90][ 900/1252] lr: 1.9193e-02 eta: 2 days, 13:34:25 time: 0.3539 data_time: 0.0811 loss: 2.4807 03/10 16:57:39 - mmengine - INFO - Epoch(train) [90][1000/1252] lr: 1.9193e-02 eta: 2 days, 13:33:35 time: 0.3471 data_time: 0.0027 loss: 2.4505 03/10 16:58:13 - mmengine - INFO - Epoch(train) [90][1100/1252] lr: 1.9193e-02 eta: 2 days, 13:32:29 time: 0.3562 data_time: 0.0224 loss: 2.4939 03/10 16:58:48 - mmengine - INFO - Epoch(train) [90][1200/1252] lr: 1.9193e-02 eta: 2 days, 13:32:11 time: 0.3503 data_time: 0.2346 loss: 2.5602 03/10 16:59:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 16:59:05 - mmengine - INFO - Saving checkpoint at 90 epochs 03/10 16:59:30 - mmengine - INFO - Epoch(val) [90][49/49] accuracy/top1: 49.0620 accuracy/top5: 73.5660 03/10 17:00:07 - mmengine - INFO - Epoch(train) [91][ 100/1252] lr: 1.8675e-02 eta: 2 days, 13:31:27 time: 0.3749 data_time: 0.0330 loss: 2.6098 03/10 17:00:41 - mmengine - INFO - Epoch(train) [91][ 200/1252] lr: 1.8675e-02 eta: 2 days, 13:30:47 time: 0.3550 data_time: 0.0027 loss: 2.4595 03/10 17:01:15 - mmengine - INFO - Epoch(train) [91][ 300/1252] lr: 1.8675e-02 eta: 2 days, 13:29:49 time: 0.3321 data_time: 0.1931 loss: 2.4761 03/10 17:01:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:01:49 - mmengine - INFO - Epoch(train) [91][ 400/1252] lr: 1.8675e-02 eta: 2 days, 13:28:49 time: 0.3440 data_time: 0.1253 loss: 2.4768 03/10 17:02:24 - mmengine - INFO - Epoch(train) [91][ 500/1252] lr: 1.8675e-02 eta: 2 days, 13:28:24 time: 0.3163 data_time: 0.1951 loss: 2.5144 03/10 17:02:57 - mmengine - INFO - Epoch(train) [91][ 600/1252] lr: 1.8675e-02 eta: 2 days, 13:27:19 time: 0.3088 data_time: 0.0024 loss: 2.4617 03/10 17:03:32 - mmengine - INFO - Epoch(train) [91][ 700/1252] lr: 1.8675e-02 eta: 2 days, 13:26:44 time: 0.3790 data_time: 0.1071 loss: 2.4561 03/10 17:04:06 - mmengine - INFO - Epoch(train) [91][ 800/1252] lr: 1.8675e-02 eta: 2 days, 13:25:46 time: 0.3469 data_time: 0.0025 loss: 2.5018 03/10 17:04:40 - mmengine - INFO - Epoch(train) [91][ 900/1252] lr: 1.8675e-02 eta: 2 days, 13:24:53 time: 0.3993 data_time: 0.2722 loss: 2.4967 03/10 17:05:13 - mmengine - INFO - Epoch(train) [91][1000/1252] lr: 1.8675e-02 eta: 2 days, 13:23:57 time: 0.3262 data_time: 0.1670 loss: 2.5514 03/10 17:05:48 - mmengine - INFO - Epoch(train) [91][1100/1252] lr: 1.8675e-02 eta: 2 days, 13:23:23 time: 0.3959 data_time: 0.0031 loss: 2.5892 03/10 17:06:21 - mmengine - INFO - Epoch(train) [91][1200/1252] lr: 1.8675e-02 eta: 2 days, 13:22:08 time: 0.2974 data_time: 0.0473 loss: 2.4355 03/10 17:06:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:06:39 - mmengine - INFO - Saving checkpoint at 91 epochs 03/10 17:07:04 - mmengine - INFO - Epoch(val) [91][49/49] accuracy/top1: 52.4920 accuracy/top5: 76.5220 03/10 17:07:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:07:40 - mmengine - INFO - Epoch(train) [92][ 100/1252] lr: 1.8675e-02 eta: 2 days, 13:21:53 time: 0.3982 data_time: 0.2505 loss: 2.4713 03/10 17:08:14 - mmengine - INFO - Epoch(train) [92][ 200/1252] lr: 1.8675e-02 eta: 2 days, 13:20:56 time: 0.3334 data_time: 0.0027 loss: 2.4435 03/10 17:08:48 - mmengine - INFO - Epoch(train) [92][ 300/1252] lr: 1.8675e-02 eta: 2 days, 13:20:00 time: 0.3142 data_time: 0.1149 loss: 2.4357 03/10 17:09:22 - mmengine - INFO - Epoch(train) [92][ 400/1252] lr: 1.8675e-02 eta: 2 days, 13:19:01 time: 0.3327 data_time: 0.0023 loss: 2.5463 03/10 17:09:56 - mmengine - INFO - Epoch(train) [92][ 500/1252] lr: 1.8675e-02 eta: 2 days, 13:18:19 time: 0.3000 data_time: 0.0049 loss: 2.5643 03/10 17:10:30 - mmengine - INFO - Epoch(train) [92][ 600/1252] lr: 1.8675e-02 eta: 2 days, 13:17:29 time: 0.3294 data_time: 0.0330 loss: 2.4364 03/10 17:11:04 - mmengine - INFO - Epoch(train) [92][ 700/1252] lr: 1.8675e-02 eta: 2 days, 13:16:34 time: 0.3376 data_time: 0.0023 loss: 2.4937 03/10 17:11:38 - mmengine - INFO - Epoch(train) [92][ 800/1252] lr: 1.8675e-02 eta: 2 days, 13:15:48 time: 0.3153 data_time: 0.1469 loss: 2.4179 03/10 17:12:12 - mmengine - INFO - Epoch(train) [92][ 900/1252] lr: 1.8675e-02 eta: 2 days, 13:14:53 time: 0.3567 data_time: 0.0078 loss: 2.6173 03/10 17:12:46 - mmengine - INFO - Epoch(train) [92][1000/1252] lr: 1.8675e-02 eta: 2 days, 13:14:08 time: 0.3644 data_time: 0.1331 loss: 2.4383 03/10 17:13:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:13:20 - mmengine - INFO - Epoch(train) [92][1100/1252] lr: 1.8675e-02 eta: 2 days, 13:13:08 time: 0.3204 data_time: 0.0361 loss: 2.5042 03/10 17:13:53 - mmengine - INFO - Epoch(train) [92][1200/1252] lr: 1.8675e-02 eta: 2 days, 13:12:15 time: 0.3194 data_time: 0.0024 loss: 2.6078 03/10 17:14:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:14:11 - mmengine - INFO - Saving checkpoint at 92 epochs 03/10 17:14:36 - mmengine - INFO - Epoch(val) [92][49/49] accuracy/top1: 49.1220 accuracy/top5: 74.1420 03/10 17:15:13 - mmengine - INFO - Epoch(train) [93][ 100/1252] lr: 1.8171e-02 eta: 2 days, 13:11:55 time: 0.2848 data_time: 0.1519 loss: 2.3966 03/10 17:15:46 - mmengine - INFO - Epoch(train) [93][ 200/1252] lr: 1.8171e-02 eta: 2 days, 13:10:46 time: 0.3142 data_time: 0.0030 loss: 2.5394 03/10 17:16:20 - mmengine - INFO - Epoch(train) [93][ 300/1252] lr: 1.8171e-02 eta: 2 days, 13:09:53 time: 0.3718 data_time: 0.1673 loss: 2.3881 03/10 17:16:55 - mmengine - INFO - Epoch(train) [93][ 400/1252] lr: 1.8171e-02 eta: 2 days, 13:09:12 time: 0.3571 data_time: 0.0969 loss: 2.5249 03/10 17:17:29 - mmengine - INFO - Epoch(train) [93][ 500/1252] lr: 1.8171e-02 eta: 2 days, 13:08:29 time: 0.3429 data_time: 0.2293 loss: 2.4505 03/10 17:18:02 - mmengine - INFO - Epoch(train) [93][ 600/1252] lr: 1.8171e-02 eta: 2 days, 13:07:30 time: 0.3205 data_time: 0.1375 loss: 2.4901 03/10 17:18:36 - mmengine - INFO - Epoch(train) [93][ 700/1252] lr: 1.8171e-02 eta: 2 days, 13:06:36 time: 0.3464 data_time: 0.0025 loss: 2.4950 03/10 17:19:11 - mmengine - INFO - Epoch(train) [93][ 800/1252] lr: 1.8171e-02 eta: 2 days, 13:05:58 time: 0.3469 data_time: 0.0024 loss: 2.4550 03/10 17:19:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:19:45 - mmengine - INFO - Epoch(train) [93][ 900/1252] lr: 1.8171e-02 eta: 2 days, 13:05:05 time: 0.3837 data_time: 0.0095 loss: 2.5092 03/10 17:20:19 - mmengine - INFO - Epoch(train) [93][1000/1252] lr: 1.8171e-02 eta: 2 days, 13:04:18 time: 0.3309 data_time: 0.1403 loss: 2.5739 03/10 17:20:53 - mmengine - INFO - Epoch(train) [93][1100/1252] lr: 1.8171e-02 eta: 2 days, 13:03:38 time: 0.3744 data_time: 0.0942 loss: 2.5389 03/10 17:21:27 - mmengine - INFO - Epoch(train) [93][1200/1252] lr: 1.8171e-02 eta: 2 days, 13:02:41 time: 0.3124 data_time: 0.1202 loss: 2.6463 03/10 17:21:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:21:44 - mmengine - INFO - Saving checkpoint at 93 epochs 03/10 17:22:08 - mmengine - INFO - Epoch(val) [93][49/49] accuracy/top1: 51.7060 accuracy/top5: 76.2940 03/10 17:22:45 - mmengine - INFO - Epoch(train) [94][ 100/1252] lr: 1.8171e-02 eta: 2 days, 13:02:04 time: 0.2890 data_time: 0.0968 loss: 2.4753 03/10 17:23:19 - mmengine - INFO - Epoch(train) [94][ 200/1252] lr: 1.8171e-02 eta: 2 days, 13:01:19 time: 0.3101 data_time: 0.0035 loss: 2.4860 03/10 17:23:54 - mmengine - INFO - Epoch(train) [94][ 300/1252] lr: 1.8171e-02 eta: 2 days, 13:00:45 time: 0.4010 data_time: 0.0028 loss: 2.5867 03/10 17:24:28 - mmengine - INFO - Epoch(train) [94][ 400/1252] lr: 1.8171e-02 eta: 2 days, 13:00:09 time: 0.3607 data_time: 0.1933 loss: 2.4104 03/10 17:25:01 - mmengine - INFO - Epoch(train) [94][ 500/1252] lr: 1.8171e-02 eta: 2 days, 12:58:58 time: 0.2979 data_time: 0.0029 loss: 2.4891 03/10 17:25:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:25:35 - mmengine - INFO - Epoch(train) [94][ 600/1252] lr: 1.8171e-02 eta: 2 days, 12:58:12 time: 0.3898 data_time: 0.0241 loss: 2.4320 03/10 17:26:09 - mmengine - INFO - Epoch(train) [94][ 700/1252] lr: 1.8171e-02 eta: 2 days, 12:57:21 time: 0.3324 data_time: 0.1859 loss: 2.5310 03/10 17:26:43 - mmengine - INFO - Epoch(train) [94][ 800/1252] lr: 1.8171e-02 eta: 2 days, 12:56:27 time: 0.3445 data_time: 0.0025 loss: 2.6013 03/10 17:27:16 - mmengine - INFO - Epoch(train) [94][ 900/1252] lr: 1.8171e-02 eta: 2 days, 12:55:30 time: 0.3328 data_time: 0.1308 loss: 2.6273 03/10 17:27:51 - mmengine - INFO - Epoch(train) [94][1000/1252] lr: 1.8171e-02 eta: 2 days, 12:55:01 time: 0.3588 data_time: 0.2477 loss: 2.4123 03/10 17:28:25 - mmengine - INFO - Epoch(train) [94][1100/1252] lr: 1.8171e-02 eta: 2 days, 12:54:10 time: 0.2961 data_time: 0.0267 loss: 2.3497 03/10 17:28:59 - mmengine - INFO - Epoch(train) [94][1200/1252] lr: 1.8171e-02 eta: 2 days, 12:53:12 time: 0.3141 data_time: 0.0025 loss: 2.4829 03/10 17:29:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:29:16 - mmengine - INFO - Saving checkpoint at 94 epochs 03/10 17:29:42 - mmengine - INFO - Epoch(val) [94][49/49] accuracy/top1: 48.5200 accuracy/top5: 73.4540 03/10 17:30:19 - mmengine - INFO - Epoch(train) [95][ 100/1252] lr: 1.7680e-02 eta: 2 days, 12:52:50 time: 0.2873 data_time: 0.0273 loss: 2.3795 03/10 17:30:53 - mmengine - INFO - Epoch(train) [95][ 200/1252] lr: 1.7680e-02 eta: 2 days, 12:52:16 time: 0.2925 data_time: 0.0026 loss: 2.4456 03/10 17:31:28 - mmengine - INFO - Epoch(train) [95][ 300/1252] lr: 1.7680e-02 eta: 2 days, 12:51:44 time: 0.4008 data_time: 0.2457 loss: 2.3760 03/10 17:31:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:32:02 - mmengine - INFO - Epoch(train) [95][ 400/1252] lr: 1.7680e-02 eta: 2 days, 12:50:46 time: 0.3878 data_time: 0.0026 loss: 2.3866 03/10 17:32:35 - mmengine - INFO - Epoch(train) [95][ 500/1252] lr: 1.7680e-02 eta: 2 days, 12:49:55 time: 0.3263 data_time: 0.0037 loss: 2.4236 03/10 17:33:10 - mmengine - INFO - Epoch(train) [95][ 600/1252] lr: 1.7680e-02 eta: 2 days, 12:49:15 time: 0.3349 data_time: 0.1242 loss: 2.3816 03/10 17:33:44 - mmengine - INFO - Epoch(train) [95][ 700/1252] lr: 1.7680e-02 eta: 2 days, 12:48:33 time: 0.3397 data_time: 0.1976 loss: 2.4814 03/10 17:34:18 - mmengine - INFO - Epoch(train) [95][ 800/1252] lr: 1.7680e-02 eta: 2 days, 12:47:47 time: 0.2962 data_time: 0.0028 loss: 2.4387 03/10 17:34:52 - mmengine - INFO - Epoch(train) [95][ 900/1252] lr: 1.7680e-02 eta: 2 days, 12:46:55 time: 0.3415 data_time: 0.0129 loss: 2.4185 03/10 17:35:26 - mmengine - INFO - Epoch(train) [95][1000/1252] lr: 1.7680e-02 eta: 2 days, 12:46:14 time: 0.2806 data_time: 0.1636 loss: 2.4936 03/10 17:36:01 - mmengine - INFO - Epoch(train) [95][1100/1252] lr: 1.7680e-02 eta: 2 days, 12:45:38 time: 0.3505 data_time: 0.2119 loss: 2.5053 03/10 17:36:33 - mmengine - INFO - Epoch(train) [95][1200/1252] lr: 1.7680e-02 eta: 2 days, 12:44:25 time: 0.3230 data_time: 0.0614 loss: 2.4747 03/10 17:36:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:36:51 - mmengine - INFO - Saving checkpoint at 95 epochs 03/10 17:37:17 - mmengine - INFO - Epoch(val) [95][49/49] accuracy/top1: 50.5460 accuracy/top5: 74.8320 03/10 17:37:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:37:53 - mmengine - INFO - Epoch(train) [96][ 100/1252] lr: 1.7680e-02 eta: 2 days, 12:43:55 time: 0.2977 data_time: 0.0026 loss: 2.5238 03/10 17:38:27 - mmengine - INFO - Epoch(train) [96][ 200/1252] lr: 1.7680e-02 eta: 2 days, 12:43:02 time: 0.3229 data_time: 0.0024 loss: 2.4458 03/10 17:39:01 - mmengine - INFO - Epoch(train) [96][ 300/1252] lr: 1.7680e-02 eta: 2 days, 12:42:27 time: 0.3484 data_time: 0.0175 loss: 2.4576 03/10 17:39:35 - mmengine - INFO - Epoch(train) [96][ 400/1252] lr: 1.7680e-02 eta: 2 days, 12:41:32 time: 0.3595 data_time: 0.1568 loss: 2.5005 03/10 17:40:09 - mmengine - INFO - Epoch(train) [96][ 500/1252] lr: 1.7680e-02 eta: 2 days, 12:40:44 time: 0.3274 data_time: 0.0909 loss: 2.5187 03/10 17:40:43 - mmengine - INFO - Epoch(train) [96][ 600/1252] lr: 1.7680e-02 eta: 2 days, 12:40:01 time: 0.3615 data_time: 0.0929 loss: 2.3947 03/10 17:41:17 - mmengine - INFO - Epoch(train) [96][ 700/1252] lr: 1.7680e-02 eta: 2 days, 12:39:03 time: 0.2967 data_time: 0.1737 loss: 2.5427 03/10 17:41:50 - mmengine - INFO - Epoch(train) [96][ 800/1252] lr: 1.7680e-02 eta: 2 days, 12:38:12 time: 0.3063 data_time: 0.0022 loss: 2.4069 03/10 17:42:25 - mmengine - INFO - Epoch(train) [96][ 900/1252] lr: 1.7680e-02 eta: 2 days, 12:37:40 time: 0.3701 data_time: 0.1374 loss: 2.4028 03/10 17:42:58 - mmengine - INFO - Epoch(train) [96][1000/1252] lr: 1.7680e-02 eta: 2 days, 12:36:39 time: 0.3106 data_time: 0.0029 loss: 2.3840 03/10 17:43:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:43:32 - mmengine - INFO - Epoch(train) [96][1100/1252] lr: 1.7680e-02 eta: 2 days, 12:35:53 time: 0.2971 data_time: 0.0027 loss: 2.4107 03/10 17:44:07 - mmengine - INFO - Epoch(train) [96][1200/1252] lr: 1.7680e-02 eta: 2 days, 12:35:20 time: 0.3837 data_time: 0.0524 loss: 2.4515 03/10 17:44:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:44:24 - mmengine - INFO - Saving checkpoint at 96 epochs 03/10 17:44:50 - mmengine - INFO - Epoch(val) [96][49/49] accuracy/top1: 51.7320 accuracy/top5: 76.2020 03/10 17:45:26 - mmengine - INFO - Epoch(train) [97][ 100/1252] lr: 1.7203e-02 eta: 2 days, 12:34:52 time: 0.3005 data_time: 0.0027 loss: 2.4356 03/10 17:46:00 - mmengine - INFO - Epoch(train) [97][ 200/1252] lr: 1.7203e-02 eta: 2 days, 12:34:02 time: 0.3314 data_time: 0.1545 loss: 2.3764 03/10 17:46:34 - mmengine - INFO - Epoch(train) [97][ 300/1252] lr: 1.7203e-02 eta: 2 days, 12:33:19 time: 0.3342 data_time: 0.0274 loss: 2.5419 03/10 17:47:09 - mmengine - INFO - Epoch(train) [97][ 400/1252] lr: 1.7203e-02 eta: 2 days, 12:32:38 time: 0.3749 data_time: 0.0614 loss: 2.4479 03/10 17:47:42 - mmengine - INFO - Epoch(train) [97][ 500/1252] lr: 1.7203e-02 eta: 2 days, 12:31:41 time: 0.3296 data_time: 0.0028 loss: 2.5164 03/10 17:48:16 - mmengine - INFO - Epoch(train) [97][ 600/1252] lr: 1.7203e-02 eta: 2 days, 12:30:52 time: 0.3287 data_time: 0.0098 loss: 2.4196 03/10 17:48:50 - mmengine - INFO - Epoch(train) [97][ 700/1252] lr: 1.7203e-02 eta: 2 days, 12:30:15 time: 0.3650 data_time: 0.0027 loss: 2.3774 03/10 17:49:24 - mmengine - INFO - Epoch(train) [97][ 800/1252] lr: 1.7203e-02 eta: 2 days, 12:29:30 time: 0.3150 data_time: 0.1902 loss: 2.4734 03/10 17:49:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:49:58 - mmengine - INFO - Epoch(train) [97][ 900/1252] lr: 1.7203e-02 eta: 2 days, 12:28:37 time: 0.3161 data_time: 0.1151 loss: 2.4933 03/10 17:50:32 - mmengine - INFO - Epoch(train) [97][1000/1252] lr: 1.7203e-02 eta: 2 days, 12:27:59 time: 0.3254 data_time: 0.1804 loss: 2.4386 03/10 17:51:06 - mmengine - INFO - Epoch(train) [97][1100/1252] lr: 1.7203e-02 eta: 2 days, 12:27:13 time: 0.3123 data_time: 0.1544 loss: 2.5123 03/10 17:51:41 - mmengine - INFO - Epoch(train) [97][1200/1252] lr: 1.7203e-02 eta: 2 days, 12:26:35 time: 0.4149 data_time: 0.2427 loss: 2.3904 03/10 17:51:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:51:57 - mmengine - INFO - Saving checkpoint at 97 epochs 03/10 17:52:22 - mmengine - INFO - Epoch(val) [97][49/49] accuracy/top1: 47.8160 accuracy/top5: 72.8300 03/10 17:52:58 - mmengine - INFO - Epoch(train) [98][ 100/1252] lr: 1.7203e-02 eta: 2 days, 12:25:46 time: 0.3500 data_time: 0.0030 loss: 2.4826 03/10 17:53:32 - mmengine - INFO - Epoch(train) [98][ 200/1252] lr: 1.7203e-02 eta: 2 days, 12:25:01 time: 0.3024 data_time: 0.0413 loss: 2.3938 03/10 17:54:06 - mmengine - INFO - Epoch(train) [98][ 300/1252] lr: 1.7203e-02 eta: 2 days, 12:24:11 time: 0.3536 data_time: 0.0947 loss: 2.4956 03/10 17:54:41 - mmengine - INFO - Epoch(train) [98][ 400/1252] lr: 1.7203e-02 eta: 2 days, 12:23:34 time: 0.3430 data_time: 0.0845 loss: 2.3253 03/10 17:55:15 - mmengine - INFO - Epoch(train) [98][ 500/1252] lr: 1.7203e-02 eta: 2 days, 12:23:03 time: 0.4553 data_time: 0.0249 loss: 2.3449 03/10 17:55:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:55:49 - mmengine - INFO - Epoch(train) [98][ 600/1252] lr: 1.7203e-02 eta: 2 days, 12:22:16 time: 0.3983 data_time: 0.0026 loss: 2.5019 03/10 17:56:23 - mmengine - INFO - Epoch(train) [98][ 700/1252] lr: 1.7203e-02 eta: 2 days, 12:21:31 time: 0.3679 data_time: 0.0028 loss: 2.4920 03/10 17:56:58 - mmengine - INFO - Epoch(train) [98][ 800/1252] lr: 1.7203e-02 eta: 2 days, 12:20:53 time: 0.3710 data_time: 0.2422 loss: 2.4797 03/10 17:57:32 - mmengine - INFO - Epoch(train) [98][ 900/1252] lr: 1.7203e-02 eta: 2 days, 12:20:06 time: 0.3539 data_time: 0.0027 loss: 2.3419 03/10 17:58:05 - mmengine - INFO - Epoch(train) [98][1000/1252] lr: 1.7203e-02 eta: 2 days, 12:19:15 time: 0.3222 data_time: 0.0313 loss: 2.4111 03/10 17:58:39 - mmengine - INFO - Epoch(train) [98][1100/1252] lr: 1.7203e-02 eta: 2 days, 12:18:21 time: 0.3670 data_time: 0.2022 loss: 2.4724 03/10 17:59:12 - mmengine - INFO - Epoch(train) [98][1200/1252] lr: 1.7203e-02 eta: 2 days, 12:17:32 time: 0.3079 data_time: 0.1270 loss: 2.5373 03/10 17:59:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 17:59:30 - mmengine - INFO - Saving checkpoint at 98 epochs 03/10 17:59:53 - mmengine - INFO - Epoch(val) [98][49/49] accuracy/top1: 47.2840 accuracy/top5: 71.9740 03/10 18:00:30 - mmengine - INFO - Epoch(train) [99][ 100/1252] lr: 1.6738e-02 eta: 2 days, 12:17:02 time: 0.3655 data_time: 0.0259 loss: 2.3465 03/10 18:01:04 - mmengine - INFO - Epoch(train) [99][ 200/1252] lr: 1.6738e-02 eta: 2 days, 12:16:19 time: 0.3256 data_time: 0.1318 loss: 2.5403 03/10 18:01:39 - mmengine - INFO - Epoch(train) [99][ 300/1252] lr: 1.6738e-02 eta: 2 days, 12:15:44 time: 0.3917 data_time: 0.0282 loss: 2.4121 03/10 18:01:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:02:12 - mmengine - INFO - Epoch(train) [99][ 400/1252] lr: 1.6738e-02 eta: 2 days, 12:14:51 time: 0.3176 data_time: 0.1908 loss: 2.5257 03/10 18:02:47 - mmengine - INFO - Epoch(train) [99][ 500/1252] lr: 1.6738e-02 eta: 2 days, 12:14:16 time: 0.3065 data_time: 0.0028 loss: 2.4770 03/10 18:03:21 - mmengine - INFO - Epoch(train) [99][ 600/1252] lr: 1.6738e-02 eta: 2 days, 12:13:35 time: 0.4027 data_time: 0.1965 loss: 2.4933 03/10 18:03:54 - mmengine - INFO - Epoch(train) [99][ 700/1252] lr: 1.6738e-02 eta: 2 days, 12:12:37 time: 0.3052 data_time: 0.0710 loss: 2.4812 03/10 18:04:29 - mmengine - INFO - Epoch(train) [99][ 800/1252] lr: 1.6738e-02 eta: 2 days, 12:11:58 time: 0.3652 data_time: 0.0052 loss: 2.3386 03/10 18:05:04 - mmengine - INFO - Epoch(train) [99][ 900/1252] lr: 1.6738e-02 eta: 2 days, 12:11:43 time: 0.3607 data_time: 0.0026 loss: 2.4592 03/10 18:05:38 - mmengine - INFO - Epoch(train) [99][1000/1252] lr: 1.6738e-02 eta: 2 days, 12:10:50 time: 0.2962 data_time: 0.0130 loss: 2.4053 03/10 18:06:12 - mmengine - INFO - Epoch(train) [99][1100/1252] lr: 1.6738e-02 eta: 2 days, 12:10:03 time: 0.3157 data_time: 0.1676 loss: 2.3860 03/10 18:06:46 - mmengine - INFO - Epoch(train) [99][1200/1252] lr: 1.6738e-02 eta: 2 days, 12:09:24 time: 0.3889 data_time: 0.1638 loss: 2.6031 03/10 18:07:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:07:03 - mmengine - INFO - Saving checkpoint at 99 epochs 03/10 18:07:27 - mmengine - INFO - Epoch(val) [99][49/49] accuracy/top1: 51.9400 accuracy/top5: 76.6280 03/10 18:07:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:08:03 - mmengine - INFO - Epoch(train) [100][ 100/1252] lr: 1.6738e-02 eta: 2 days, 12:08:31 time: 0.3287 data_time: 0.1949 loss: 2.4102 03/10 18:08:38 - mmengine - INFO - Epoch(train) [100][ 200/1252] lr: 1.6738e-02 eta: 2 days, 12:08:02 time: 0.3484 data_time: 0.0026 loss: 2.4925 03/10 18:09:11 - mmengine - INFO - Epoch(train) [100][ 300/1252] lr: 1.6738e-02 eta: 2 days, 12:07:09 time: 0.2910 data_time: 0.0194 loss: 2.4353 03/10 18:09:46 - mmengine - INFO - Epoch(train) [100][ 400/1252] lr: 1.6738e-02 eta: 2 days, 12:06:34 time: 0.3637 data_time: 0.0760 loss: 2.4513 03/10 18:10:19 - mmengine - INFO - Epoch(train) [100][ 500/1252] lr: 1.6738e-02 eta: 2 days, 12:05:45 time: 0.3545 data_time: 0.0028 loss: 2.4309 03/10 18:10:53 - mmengine - INFO - Epoch(train) [100][ 600/1252] lr: 1.6738e-02 eta: 2 days, 12:04:57 time: 0.3324 data_time: 0.1083 loss: 2.4147 03/10 18:11:27 - mmengine - INFO - Epoch(train) [100][ 700/1252] lr: 1.6738e-02 eta: 2 days, 12:04:12 time: 0.3479 data_time: 0.0025 loss: 2.3989 03/10 18:12:02 - mmengine - INFO - Epoch(train) [100][ 800/1252] lr: 1.6738e-02 eta: 2 days, 12:03:45 time: 0.3171 data_time: 0.0035 loss: 2.4188 03/10 18:12:36 - mmengine - INFO - Epoch(train) [100][ 900/1252] lr: 1.6738e-02 eta: 2 days, 12:03:00 time: 0.2831 data_time: 0.0025 loss: 2.5380 03/10 18:13:10 - mmengine - INFO - Epoch(train) [100][1000/1252] lr: 1.6738e-02 eta: 2 days, 12:02:21 time: 0.3636 data_time: 0.1694 loss: 2.3786 03/10 18:13:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:13:45 - mmengine - INFO - Epoch(train) [100][1100/1252] lr: 1.6738e-02 eta: 2 days, 12:01:44 time: 0.3495 data_time: 0.0707 loss: 2.4412 03/10 18:14:19 - mmengine - INFO - Epoch(train) [100][1200/1252] lr: 1.6738e-02 eta: 2 days, 12:00:59 time: 0.3016 data_time: 0.1769 loss: 2.4510 03/10 18:14:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:14:36 - mmengine - INFO - Saving checkpoint at 100 epochs 03/10 18:15:01 - mmengine - INFO - Epoch(val) [100][49/49] accuracy/top1: 49.9320 accuracy/top5: 74.4940 03/10 18:15:39 - mmengine - INFO - Epoch(train) [101][ 100/1252] lr: 1.6286e-02 eta: 2 days, 12:00:51 time: 0.3804 data_time: 0.2533 loss: 2.3716 03/10 18:16:12 - mmengine - INFO - Epoch(train) [101][ 200/1252] lr: 1.6286e-02 eta: 2 days, 11:59:55 time: 0.3892 data_time: 0.1230 loss: 2.3147 03/10 18:16:46 - mmengine - INFO - Epoch(train) [101][ 300/1252] lr: 1.6286e-02 eta: 2 days, 11:59:09 time: 0.3173 data_time: 0.0139 loss: 2.4114 03/10 18:17:20 - mmengine - INFO - Epoch(train) [101][ 400/1252] lr: 1.6286e-02 eta: 2 days, 11:58:33 time: 0.3326 data_time: 0.0029 loss: 2.4661 03/10 18:17:54 - mmengine - INFO - Epoch(train) [101][ 500/1252] lr: 1.6286e-02 eta: 2 days, 11:57:37 time: 0.3278 data_time: 0.0446 loss: 2.4971 03/10 18:18:28 - mmengine - INFO - Epoch(train) [101][ 600/1252] lr: 1.6286e-02 eta: 2 days, 11:56:51 time: 0.3017 data_time: 0.1162 loss: 2.4547 03/10 18:19:02 - mmengine - INFO - Epoch(train) [101][ 700/1252] lr: 1.6286e-02 eta: 2 days, 11:56:09 time: 0.3242 data_time: 0.1808 loss: 2.3104 03/10 18:19:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:19:37 - mmengine - INFO - Epoch(train) [101][ 800/1252] lr: 1.6286e-02 eta: 2 days, 11:55:40 time: 0.3981 data_time: 0.2454 loss: 2.3995 03/10 18:20:10 - mmengine - INFO - Epoch(train) [101][ 900/1252] lr: 1.6286e-02 eta: 2 days, 11:54:53 time: 0.3490 data_time: 0.2194 loss: 2.3092 03/10 18:20:44 - mmengine - INFO - Epoch(train) [101][1000/1252] lr: 1.6286e-02 eta: 2 days, 11:54:06 time: 0.3977 data_time: 0.2314 loss: 2.4866 03/10 18:21:18 - mmengine - INFO - Epoch(train) [101][1100/1252] lr: 1.6286e-02 eta: 2 days, 11:53:23 time: 0.3584 data_time: 0.1584 loss: 2.4028 03/10 18:21:52 - mmengine - INFO - Epoch(train) [101][1200/1252] lr: 1.6286e-02 eta: 2 days, 11:52:41 time: 0.3555 data_time: 0.1520 loss: 2.4116 03/10 18:22:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:22:09 - mmengine - INFO - Saving checkpoint at 101 epochs 03/10 18:22:34 - mmengine - INFO - Epoch(val) [101][49/49] accuracy/top1: 50.3680 accuracy/top5: 74.7780 03/10 18:23:11 - mmengine - INFO - Epoch(train) [102][ 100/1252] lr: 1.6286e-02 eta: 2 days, 11:52:04 time: 0.3499 data_time: 0.0121 loss: 2.4769 03/10 18:23:44 - mmengine - INFO - Epoch(train) [102][ 200/1252] lr: 1.6286e-02 eta: 2 days, 11:51:14 time: 0.2908 data_time: 0.1731 loss: 2.5740 03/10 18:24:19 - mmengine - INFO - Epoch(train) [102][ 300/1252] lr: 1.6286e-02 eta: 2 days, 11:50:34 time: 0.2994 data_time: 0.1761 loss: 2.4251 03/10 18:24:53 - mmengine - INFO - Epoch(train) [102][ 400/1252] lr: 1.6286e-02 eta: 2 days, 11:49:53 time: 0.3365 data_time: 0.2209 loss: 2.5564 03/10 18:25:27 - mmengine - INFO - Epoch(train) [102][ 500/1252] lr: 1.6286e-02 eta: 2 days, 11:49:08 time: 0.3496 data_time: 0.0974 loss: 2.5339 03/10 18:25:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:26:01 - mmengine - INFO - Epoch(train) [102][ 600/1252] lr: 1.6286e-02 eta: 2 days, 11:48:26 time: 0.3458 data_time: 0.0029 loss: 2.3689 03/10 18:26:35 - mmengine - INFO - Epoch(train) [102][ 700/1252] lr: 1.6286e-02 eta: 2 days, 11:47:44 time: 0.3405 data_time: 0.0032 loss: 2.4563 03/10 18:27:10 - mmengine - INFO - Epoch(train) [102][ 800/1252] lr: 1.6286e-02 eta: 2 days, 11:47:14 time: 0.4366 data_time: 0.1468 loss: 2.4536 03/10 18:27:43 - mmengine - INFO - Epoch(train) [102][ 900/1252] lr: 1.6286e-02 eta: 2 days, 11:46:25 time: 0.3666 data_time: 0.2512 loss: 2.5559 03/10 18:28:17 - mmengine - INFO - Epoch(train) [102][1000/1252] lr: 1.6286e-02 eta: 2 days, 11:45:38 time: 0.3562 data_time: 0.0617 loss: 2.4435 03/10 18:28:52 - mmengine - INFO - Epoch(train) [102][1100/1252] lr: 1.6286e-02 eta: 2 days, 11:45:10 time: 0.3857 data_time: 0.2649 loss: 2.4684 03/10 18:29:27 - mmengine - INFO - Epoch(train) [102][1200/1252] lr: 1.6286e-02 eta: 2 days, 11:44:37 time: 0.3256 data_time: 0.0023 loss: 2.5562 03/10 18:29:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:29:43 - mmengine - INFO - Saving checkpoint at 102 epochs 03/10 18:30:09 - mmengine - INFO - Epoch(val) [102][49/49] accuracy/top1: 54.0160 accuracy/top5: 78.2200 03/10 18:30:45 - mmengine - INFO - Epoch(train) [103][ 100/1252] lr: 1.5847e-02 eta: 2 days, 11:43:45 time: 0.3550 data_time: 0.0027 loss: 2.3756 03/10 18:31:20 - mmengine - INFO - Epoch(train) [103][ 200/1252] lr: 1.5847e-02 eta: 2 days, 11:43:12 time: 0.3362 data_time: 0.1754 loss: 2.4579 03/10 18:31:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:31:54 - mmengine - INFO - Epoch(train) [103][ 300/1252] lr: 1.5847e-02 eta: 2 days, 11:42:25 time: 0.3479 data_time: 0.2316 loss: 2.4437 03/10 18:32:28 - mmengine - INFO - Epoch(train) [103][ 400/1252] lr: 1.5847e-02 eta: 2 days, 11:41:42 time: 0.2930 data_time: 0.0027 loss: 2.2518 03/10 18:33:02 - mmengine - INFO - Epoch(train) [103][ 500/1252] lr: 1.5847e-02 eta: 2 days, 11:41:06 time: 0.3266 data_time: 0.0325 loss: 2.3661 03/10 18:33:37 - mmengine - INFO - Epoch(train) [103][ 600/1252] lr: 1.5847e-02 eta: 2 days, 11:40:31 time: 0.4101 data_time: 0.2807 loss: 2.3890 03/10 18:34:11 - mmengine - INFO - Epoch(train) [103][ 700/1252] lr: 1.5847e-02 eta: 2 days, 11:39:48 time: 0.3493 data_time: 0.0026 loss: 2.5582 03/10 18:34:44 - mmengine - INFO - Epoch(train) [103][ 800/1252] lr: 1.5847e-02 eta: 2 days, 11:38:50 time: 0.2673 data_time: 0.1067 loss: 2.5027 03/10 18:35:18 - mmengine - INFO - Epoch(train) [103][ 900/1252] lr: 1.5847e-02 eta: 2 days, 11:38:17 time: 0.3098 data_time: 0.0028 loss: 2.4717 03/10 18:35:53 - mmengine - INFO - Epoch(train) [103][1000/1252] lr: 1.5847e-02 eta: 2 days, 11:37:39 time: 0.3762 data_time: 0.2573 loss: 2.4012 03/10 18:36:27 - mmengine - INFO - Epoch(train) [103][1100/1252] lr: 1.5847e-02 eta: 2 days, 11:37:01 time: 0.3500 data_time: 0.0025 loss: 2.4835 03/10 18:37:01 - mmengine - INFO - Epoch(train) [103][1200/1252] lr: 1.5847e-02 eta: 2 days, 11:36:27 time: 0.3573 data_time: 0.0025 loss: 2.4914 03/10 18:37:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:37:18 - mmengine - INFO - Saving checkpoint at 103 epochs 03/10 18:37:43 - mmengine - INFO - Epoch(val) [103][49/49] accuracy/top1: 51.8680 accuracy/top5: 76.3540 03/10 18:38:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:38:20 - mmengine - INFO - Epoch(train) [104][ 100/1252] lr: 1.5847e-02 eta: 2 days, 11:35:44 time: 0.3642 data_time: 0.1116 loss: 2.4666 03/10 18:38:54 - mmengine - INFO - Epoch(train) [104][ 200/1252] lr: 1.5847e-02 eta: 2 days, 11:34:59 time: 0.3074 data_time: 0.1706 loss: 2.4790 03/10 18:39:29 - mmengine - INFO - Epoch(train) [104][ 300/1252] lr: 1.5847e-02 eta: 2 days, 11:34:32 time: 0.3707 data_time: 0.2541 loss: 2.4226 03/10 18:40:02 - mmengine - INFO - Epoch(train) [104][ 400/1252] lr: 1.5847e-02 eta: 2 days, 11:33:45 time: 0.3370 data_time: 0.1415 loss: 2.4795 03/10 18:40:36 - mmengine - INFO - Epoch(train) [104][ 500/1252] lr: 1.5847e-02 eta: 2 days, 11:32:59 time: 0.3401 data_time: 0.0026 loss: 2.4150 03/10 18:41:10 - mmengine - INFO - Epoch(train) [104][ 600/1252] lr: 1.5847e-02 eta: 2 days, 11:32:12 time: 0.3260 data_time: 0.1282 loss: 2.4636 03/10 18:41:45 - mmengine - INFO - Epoch(train) [104][ 700/1252] lr: 1.5847e-02 eta: 2 days, 11:31:42 time: 0.3834 data_time: 0.0858 loss: 2.4198 03/10 18:42:18 - mmengine - INFO - Epoch(train) [104][ 800/1252] lr: 1.5847e-02 eta: 2 days, 11:30:55 time: 0.2845 data_time: 0.1422 loss: 2.4526 03/10 18:42:53 - mmengine - INFO - Epoch(train) [104][ 900/1252] lr: 1.5847e-02 eta: 2 days, 11:30:18 time: 0.3169 data_time: 0.0230 loss: 2.4895 03/10 18:43:28 - mmengine - INFO - Epoch(train) [104][1000/1252] lr: 1.5847e-02 eta: 2 days, 11:29:45 time: 0.3561 data_time: 0.1000 loss: 2.3969 03/10 18:43:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:44:01 - mmengine - INFO - Epoch(train) [104][1100/1252] lr: 1.5847e-02 eta: 2 days, 11:29:00 time: 0.2860 data_time: 0.0201 loss: 2.3470 03/10 18:44:35 - mmengine - INFO - Epoch(train) [104][1200/1252] lr: 1.5847e-02 eta: 2 days, 11:28:15 time: 0.2938 data_time: 0.0734 loss: 2.4889 03/10 18:44:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:44:53 - mmengine - INFO - Saving checkpoint at 104 epochs 03/10 18:45:17 - mmengine - INFO - Epoch(val) [104][49/49] accuracy/top1: 50.8360 accuracy/top5: 75.1500 03/10 18:45:54 - mmengine - INFO - Epoch(train) [105][ 100/1252] lr: 1.5419e-02 eta: 2 days, 11:27:48 time: 0.3690 data_time: 0.0024 loss: 2.3673 03/10 18:46:28 - mmengine - INFO - Epoch(train) [105][ 200/1252] lr: 1.5419e-02 eta: 2 days, 11:27:08 time: 0.3811 data_time: 0.0064 loss: 2.4226 03/10 18:47:01 - mmengine - INFO - Epoch(train) [105][ 300/1252] lr: 1.5419e-02 eta: 2 days, 11:26:18 time: 0.3127 data_time: 0.0478 loss: 2.3054 03/10 18:47:36 - mmengine - INFO - Epoch(train) [105][ 400/1252] lr: 1.5419e-02 eta: 2 days, 11:25:42 time: 0.4237 data_time: 0.2000 loss: 2.3554 03/10 18:48:10 - mmengine - INFO - Epoch(train) [105][ 500/1252] lr: 1.5419e-02 eta: 2 days, 11:24:58 time: 0.3502 data_time: 0.1682 loss: 2.6228 03/10 18:48:43 - mmengine - INFO - Epoch(train) [105][ 600/1252] lr: 1.5419e-02 eta: 2 days, 11:24:02 time: 0.3532 data_time: 0.0825 loss: 2.3802 03/10 18:49:17 - mmengine - INFO - Epoch(train) [105][ 700/1252] lr: 1.5419e-02 eta: 2 days, 11:23:19 time: 0.3270 data_time: 0.0960 loss: 2.3968 03/10 18:49:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:49:51 - mmengine - INFO - Epoch(train) [105][ 800/1252] lr: 1.5419e-02 eta: 2 days, 11:22:40 time: 0.2744 data_time: 0.0028 loss: 2.5570 03/10 18:50:26 - mmengine - INFO - Epoch(train) [105][ 900/1252] lr: 1.5419e-02 eta: 2 days, 11:22:08 time: 0.3749 data_time: 0.0028 loss: 2.3740 03/10 18:50:59 - mmengine - INFO - Epoch(train) [105][1000/1252] lr: 1.5419e-02 eta: 2 days, 11:21:22 time: 0.3091 data_time: 0.1879 loss: 2.3113 03/10 18:51:34 - mmengine - INFO - Epoch(train) [105][1100/1252] lr: 1.5419e-02 eta: 2 days, 11:20:46 time: 0.3364 data_time: 0.1215 loss: 2.4209 03/10 18:52:08 - mmengine - INFO - Epoch(train) [105][1200/1252] lr: 1.5419e-02 eta: 2 days, 11:20:14 time: 0.4347 data_time: 0.2451 loss: 2.3950 03/10 18:52:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:52:25 - mmengine - INFO - Saving checkpoint at 105 epochs 03/10 18:52:50 - mmengine - INFO - Epoch(val) [105][49/49] accuracy/top1: 51.4200 accuracy/top5: 76.1360 03/10 18:53:26 - mmengine - INFO - Epoch(train) [106][ 100/1252] lr: 1.5419e-02 eta: 2 days, 11:19:21 time: 0.3529 data_time: 0.0032 loss: 2.4430 03/10 18:54:01 - mmengine - INFO - Epoch(train) [106][ 200/1252] lr: 1.5419e-02 eta: 2 days, 11:18:41 time: 0.3755 data_time: 0.0030 loss: 2.5037 03/10 18:54:34 - mmengine - INFO - Epoch(train) [106][ 300/1252] lr: 1.5419e-02 eta: 2 days, 11:17:55 time: 0.3960 data_time: 0.2780 loss: 2.3065 03/10 18:55:08 - mmengine - INFO - Epoch(train) [106][ 400/1252] lr: 1.5419e-02 eta: 2 days, 11:17:12 time: 0.3133 data_time: 0.0029 loss: 2.3393 03/10 18:55:43 - mmengine - INFO - Epoch(train) [106][ 500/1252] lr: 1.5419e-02 eta: 2 days, 11:16:42 time: 0.3729 data_time: 0.0024 loss: 2.4619 03/10 18:55:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:56:16 - mmengine - INFO - Epoch(train) [106][ 600/1252] lr: 1.5419e-02 eta: 2 days, 11:15:48 time: 0.3136 data_time: 0.0129 loss: 2.2835 03/10 18:56:51 - mmengine - INFO - Epoch(train) [106][ 700/1252] lr: 1.5419e-02 eta: 2 days, 11:15:17 time: 0.3844 data_time: 0.0401 loss: 2.4443 03/10 18:57:25 - mmengine - INFO - Epoch(train) [106][ 800/1252] lr: 1.5419e-02 eta: 2 days, 11:14:37 time: 0.3234 data_time: 0.0317 loss: 2.4528 03/10 18:57:59 - mmengine - INFO - Epoch(train) [106][ 900/1252] lr: 1.5419e-02 eta: 2 days, 11:14:00 time: 0.3672 data_time: 0.0048 loss: 2.4633 03/10 18:58:33 - mmengine - INFO - Epoch(train) [106][1000/1252] lr: 1.5419e-02 eta: 2 days, 11:13:15 time: 0.3293 data_time: 0.1445 loss: 2.4976 03/10 18:59:07 - mmengine - INFO - Epoch(train) [106][1100/1252] lr: 1.5419e-02 eta: 2 days, 11:12:34 time: 0.3568 data_time: 0.0835 loss: 2.4694 03/10 18:59:42 - mmengine - INFO - Epoch(train) [106][1200/1252] lr: 1.5419e-02 eta: 2 days, 11:11:59 time: 0.3484 data_time: 0.0027 loss: 2.4007 03/10 18:59:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 18:59:58 - mmengine - INFO - Saving checkpoint at 106 epochs 03/10 19:00:22 - mmengine - INFO - Epoch(val) [106][49/49] accuracy/top1: 48.3800 accuracy/top5: 72.9220 03/10 19:00:59 - mmengine - INFO - Epoch(train) [107][ 100/1252] lr: 1.5002e-02 eta: 2 days, 11:11:12 time: 0.3889 data_time: 0.0778 loss: 2.3701 03/10 19:01:32 - mmengine - INFO - Epoch(train) [107][ 200/1252] lr: 1.5002e-02 eta: 2 days, 11:10:26 time: 0.2933 data_time: 0.0978 loss: 2.3460 03/10 19:02:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:02:06 - mmengine - INFO - Epoch(train) [107][ 300/1252] lr: 1.5002e-02 eta: 2 days, 11:09:42 time: 0.2997 data_time: 0.1123 loss: 2.4287 03/10 19:02:40 - mmengine - INFO - Epoch(train) [107][ 400/1252] lr: 1.5002e-02 eta: 2 days, 11:08:57 time: 0.3371 data_time: 0.2019 loss: 2.4864 03/10 19:03:14 - mmengine - INFO - Epoch(train) [107][ 500/1252] lr: 1.5002e-02 eta: 2 days, 11:08:14 time: 0.3046 data_time: 0.0031 loss: 2.4206 03/10 19:03:48 - mmengine - INFO - Epoch(train) [107][ 600/1252] lr: 1.5002e-02 eta: 2 days, 11:07:38 time: 0.3075 data_time: 0.0031 loss: 2.3647 03/10 19:04:22 - mmengine - INFO - Epoch(train) [107][ 700/1252] lr: 1.5002e-02 eta: 2 days, 11:06:52 time: 0.3356 data_time: 0.0557 loss: 2.4240 03/10 19:04:55 - mmengine - INFO - Epoch(train) [107][ 800/1252] lr: 1.5002e-02 eta: 2 days, 11:06:08 time: 0.3576 data_time: 0.0503 loss: 2.4647 03/10 19:05:30 - mmengine - INFO - Epoch(train) [107][ 900/1252] lr: 1.5002e-02 eta: 2 days, 11:05:37 time: 0.3476 data_time: 0.2058 loss: 2.4024 03/10 19:06:04 - mmengine - INFO - Epoch(train) [107][1000/1252] lr: 1.5002e-02 eta: 2 days, 11:04:54 time: 0.3305 data_time: 0.0310 loss: 2.3815 03/10 19:06:37 - mmengine - INFO - Epoch(train) [107][1100/1252] lr: 1.5002e-02 eta: 2 days, 11:04:05 time: 0.2932 data_time: 0.0106 loss: 2.5122 03/10 19:07:12 - mmengine - INFO - Epoch(train) [107][1200/1252] lr: 1.5002e-02 eta: 2 days, 11:03:30 time: 0.2836 data_time: 0.1623 loss: 2.4653 03/10 19:07:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:07:29 - mmengine - INFO - Saving checkpoint at 107 epochs 03/10 19:07:54 - mmengine - INFO - Epoch(val) [107][49/49] accuracy/top1: 47.0560 accuracy/top5: 72.0240 03/10 19:08:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:08:31 - mmengine - INFO - Epoch(train) [108][ 100/1252] lr: 1.5002e-02 eta: 2 days, 11:03:02 time: 0.2586 data_time: 0.1201 loss: 2.3909 03/10 19:09:04 - mmengine - INFO - Epoch(train) [108][ 200/1252] lr: 1.5002e-02 eta: 2 days, 11:02:18 time: 0.3271 data_time: 0.0032 loss: 2.3698 03/10 19:09:39 - mmengine - INFO - Epoch(train) [108][ 300/1252] lr: 1.5002e-02 eta: 2 days, 11:01:43 time: 0.3505 data_time: 0.0027 loss: 2.5443 03/10 19:10:13 - mmengine - INFO - Epoch(train) [108][ 400/1252] lr: 1.5002e-02 eta: 2 days, 11:01:03 time: 0.3910 data_time: 0.0032 loss: 2.4348 03/10 19:10:47 - mmengine - INFO - Epoch(train) [108][ 500/1252] lr: 1.5002e-02 eta: 2 days, 11:00:25 time: 0.3189 data_time: 0.0029 loss: 2.4034 03/10 19:11:21 - mmengine - INFO - Epoch(train) [108][ 600/1252] lr: 1.5002e-02 eta: 2 days, 10:59:37 time: 0.3505 data_time: 0.0924 loss: 2.4012 03/10 19:11:55 - mmengine - INFO - Epoch(train) [108][ 700/1252] lr: 1.5002e-02 eta: 2 days, 10:59:03 time: 0.3090 data_time: 0.0030 loss: 2.4082 03/10 19:12:29 - mmengine - INFO - Epoch(train) [108][ 800/1252] lr: 1.5002e-02 eta: 2 days, 10:58:16 time: 0.3102 data_time: 0.1899 loss: 2.4825 03/10 19:13:03 - mmengine - INFO - Epoch(train) [108][ 900/1252] lr: 1.5002e-02 eta: 2 days, 10:57:40 time: 0.3551 data_time: 0.0685 loss: 2.3421 03/10 19:13:38 - mmengine - INFO - Epoch(train) [108][1000/1252] lr: 1.5002e-02 eta: 2 days, 10:57:13 time: 0.4065 data_time: 0.2464 loss: 2.3512 03/10 19:13:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:14:12 - mmengine - INFO - Epoch(train) [108][1100/1252] lr: 1.5002e-02 eta: 2 days, 10:56:27 time: 0.3684 data_time: 0.1851 loss: 2.3835 03/10 19:14:46 - mmengine - INFO - Epoch(train) [108][1200/1252] lr: 1.5002e-02 eta: 2 days, 10:55:44 time: 0.3197 data_time: 0.1894 loss: 2.5063 03/10 19:15:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:15:03 - mmengine - INFO - Saving checkpoint at 108 epochs 03/10 19:15:28 - mmengine - INFO - Epoch(val) [108][49/49] accuracy/top1: 54.2600 accuracy/top5: 78.2940 03/10 19:16:05 - mmengine - INFO - Epoch(train) [109][ 100/1252] lr: 1.4597e-02 eta: 2 days, 10:55:11 time: 0.2958 data_time: 0.1457 loss: 2.3427 03/10 19:16:39 - mmengine - INFO - Epoch(train) [109][ 200/1252] lr: 1.4597e-02 eta: 2 days, 10:54:25 time: 0.3520 data_time: 0.0856 loss: 2.4192 03/10 19:17:13 - mmengine - INFO - Epoch(train) [109][ 300/1252] lr: 1.4597e-02 eta: 2 days, 10:53:44 time: 0.3509 data_time: 0.0023 loss: 2.4324 03/10 19:17:46 - mmengine - INFO - Epoch(train) [109][ 400/1252] lr: 1.4597e-02 eta: 2 days, 10:53:00 time: 0.3304 data_time: 0.1494 loss: 2.3500 03/10 19:18:20 - mmengine - INFO - Epoch(train) [109][ 500/1252] lr: 1.4597e-02 eta: 2 days, 10:52:17 time: 0.3515 data_time: 0.2173 loss: 2.4185 03/10 19:18:55 - mmengine - INFO - Epoch(train) [109][ 600/1252] lr: 1.4597e-02 eta: 2 days, 10:51:39 time: 0.4187 data_time: 0.1687 loss: 2.3520 03/10 19:19:28 - mmengine - INFO - Epoch(train) [109][ 700/1252] lr: 1.4597e-02 eta: 2 days, 10:50:54 time: 0.3176 data_time: 0.0609 loss: 2.5005 03/10 19:19:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:20:02 - mmengine - INFO - Epoch(train) [109][ 800/1252] lr: 1.4597e-02 eta: 2 days, 10:50:15 time: 0.4052 data_time: 0.0030 loss: 2.4844 03/10 19:20:36 - mmengine - INFO - Epoch(train) [109][ 900/1252] lr: 1.4597e-02 eta: 2 days, 10:49:31 time: 0.3197 data_time: 0.0722 loss: 2.3732 03/10 19:21:10 - mmengine - INFO - Epoch(train) [109][1000/1252] lr: 1.4597e-02 eta: 2 days, 10:48:46 time: 0.3280 data_time: 0.1880 loss: 2.4727 03/10 19:21:44 - mmengine - INFO - Epoch(train) [109][1100/1252] lr: 1.4597e-02 eta: 2 days, 10:48:15 time: 0.3364 data_time: 0.0288 loss: 2.4486 03/10 19:22:18 - mmengine - INFO - Epoch(train) [109][1200/1252] lr: 1.4597e-02 eta: 2 days, 10:47:32 time: 0.3652 data_time: 0.2013 loss: 2.4101 03/10 19:22:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:22:35 - mmengine - INFO - Saving checkpoint at 109 epochs 03/10 19:23:01 - mmengine - INFO - Epoch(val) [109][49/49] accuracy/top1: 52.5600 accuracy/top5: 76.7700 03/10 19:23:38 - mmengine - INFO - Epoch(train) [110][ 100/1252] lr: 1.4597e-02 eta: 2 days, 10:46:52 time: 0.3570 data_time: 0.0034 loss: 2.4670 03/10 19:24:11 - mmengine - INFO - Epoch(train) [110][ 200/1252] lr: 1.4597e-02 eta: 2 days, 10:46:02 time: 0.3506 data_time: 0.1701 loss: 2.3964 03/10 19:24:44 - mmengine - INFO - Epoch(train) [110][ 300/1252] lr: 1.4597e-02 eta: 2 days, 10:45:17 time: 0.3045 data_time: 0.0033 loss: 2.4132 03/10 19:25:19 - mmengine - INFO - Epoch(train) [110][ 400/1252] lr: 1.4597e-02 eta: 2 days, 10:44:39 time: 0.3449 data_time: 0.0024 loss: 2.3351 03/10 19:25:52 - mmengine - INFO - Epoch(train) [110][ 500/1252] lr: 1.4597e-02 eta: 2 days, 10:43:57 time: 0.2605 data_time: 0.1170 loss: 2.4649 03/10 19:26:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:26:27 - mmengine - INFO - Epoch(train) [110][ 600/1252] lr: 1.4597e-02 eta: 2 days, 10:43:26 time: 0.3423 data_time: 0.0485 loss: 2.4113 03/10 19:27:01 - mmengine - INFO - Epoch(train) [110][ 700/1252] lr: 1.4597e-02 eta: 2 days, 10:42:39 time: 0.3291 data_time: 0.0231 loss: 2.4157 03/10 19:27:36 - mmengine - INFO - Epoch(train) [110][ 800/1252] lr: 1.4597e-02 eta: 2 days, 10:42:13 time: 0.3502 data_time: 0.2257 loss: 2.3881 03/10 19:28:10 - mmengine - INFO - Epoch(train) [110][ 900/1252] lr: 1.4597e-02 eta: 2 days, 10:41:30 time: 0.3594 data_time: 0.0104 loss: 2.4584 03/10 19:28:43 - mmengine - INFO - Epoch(train) [110][1000/1252] lr: 1.4597e-02 eta: 2 days, 10:40:42 time: 0.2798 data_time: 0.0028 loss: 2.4340 03/10 19:29:17 - mmengine - INFO - Epoch(train) [110][1100/1252] lr: 1.4597e-02 eta: 2 days, 10:40:05 time: 0.3144 data_time: 0.0128 loss: 2.3879 03/10 19:29:52 - mmengine - INFO - Epoch(train) [110][1200/1252] lr: 1.4597e-02 eta: 2 days, 10:39:35 time: 0.3244 data_time: 0.1654 loss: 2.4118 03/10 19:30:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:30:09 - mmengine - INFO - Saving checkpoint at 110 epochs 03/10 19:30:34 - mmengine - INFO - Epoch(val) [110][49/49] accuracy/top1: 48.4880 accuracy/top5: 73.4340 03/10 19:31:10 - mmengine - INFO - Epoch(train) [111][ 100/1252] lr: 1.4203e-02 eta: 2 days, 10:38:52 time: 0.3086 data_time: 0.0685 loss: 2.2244 03/10 19:31:44 - mmengine - INFO - Epoch(train) [111][ 200/1252] lr: 1.4203e-02 eta: 2 days, 10:38:17 time: 0.3612 data_time: 0.2511 loss: 2.4563 03/10 19:32:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:32:18 - mmengine - INFO - Epoch(train) [111][ 300/1252] lr: 1.4203e-02 eta: 2 days, 10:37:34 time: 0.3132 data_time: 0.1380 loss: 2.4372 03/10 19:32:53 - mmengine - INFO - Epoch(train) [111][ 400/1252] lr: 1.4203e-02 eta: 2 days, 10:36:59 time: 0.3431 data_time: 0.0033 loss: 2.3835 03/10 19:33:27 - mmengine - INFO - Epoch(train) [111][ 500/1252] lr: 1.4203e-02 eta: 2 days, 10:36:28 time: 0.4089 data_time: 0.2825 loss: 2.4078 03/10 19:34:01 - mmengine - INFO - Epoch(train) [111][ 600/1252] lr: 1.4203e-02 eta: 2 days, 10:35:49 time: 0.3688 data_time: 0.0501 loss: 2.3453 03/10 19:34:36 - mmengine - INFO - Epoch(train) [111][ 700/1252] lr: 1.4203e-02 eta: 2 days, 10:35:15 time: 0.3738 data_time: 0.1973 loss: 2.4482 03/10 19:35:09 - mmengine - INFO - Epoch(train) [111][ 800/1252] lr: 1.4203e-02 eta: 2 days, 10:34:30 time: 0.3735 data_time: 0.2389 loss: 2.2759 03/10 19:35:44 - mmengine - INFO - Epoch(train) [111][ 900/1252] lr: 1.4203e-02 eta: 2 days, 10:33:56 time: 0.3180 data_time: 0.0039 loss: 2.4588 03/10 19:36:18 - mmengine - INFO - Epoch(train) [111][1000/1252] lr: 1.4203e-02 eta: 2 days, 10:33:16 time: 0.3890 data_time: 0.0087 loss: 2.3595 03/10 19:36:52 - mmengine - INFO - Epoch(train) [111][1100/1252] lr: 1.4203e-02 eta: 2 days, 10:32:36 time: 0.2870 data_time: 0.0025 loss: 2.3675 03/10 19:37:26 - mmengine - INFO - Epoch(train) [111][1200/1252] lr: 1.4203e-02 eta: 2 days, 10:31:55 time: 0.3854 data_time: 0.0026 loss: 2.4454 03/10 19:37:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:37:43 - mmengine - INFO - Saving checkpoint at 111 epochs 03/10 19:38:07 - mmengine - INFO - Epoch(val) [111][49/49] accuracy/top1: 51.9040 accuracy/top5: 76.0780 03/10 19:38:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:38:44 - mmengine - INFO - Epoch(train) [112][ 100/1252] lr: 1.4203e-02 eta: 2 days, 10:31:14 time: 0.3171 data_time: 0.0971 loss: 2.4702 03/10 19:39:18 - mmengine - INFO - Epoch(train) [112][ 200/1252] lr: 1.4203e-02 eta: 2 days, 10:30:36 time: 0.3626 data_time: 0.0859 loss: 2.3903 03/10 19:39:52 - mmengine - INFO - Epoch(train) [112][ 300/1252] lr: 1.4203e-02 eta: 2 days, 10:29:55 time: 0.3233 data_time: 0.0992 loss: 2.3500 03/10 19:40:27 - mmengine - INFO - Epoch(train) [112][ 400/1252] lr: 1.4203e-02 eta: 2 days, 10:29:27 time: 0.3494 data_time: 0.1973 loss: 2.3082 03/10 19:41:01 - mmengine - INFO - Epoch(train) [112][ 500/1252] lr: 1.4203e-02 eta: 2 days, 10:28:47 time: 0.2917 data_time: 0.0028 loss: 2.4086 03/10 19:41:35 - mmengine - INFO - Epoch(train) [112][ 600/1252] lr: 1.4203e-02 eta: 2 days, 10:28:13 time: 0.3392 data_time: 0.0029 loss: 2.3746 03/10 19:42:08 - mmengine - INFO - Epoch(train) [112][ 700/1252] lr: 1.4203e-02 eta: 2 days, 10:27:24 time: 0.3453 data_time: 0.1159 loss: 2.4064 03/10 19:42:43 - mmengine - INFO - Epoch(train) [112][ 800/1252] lr: 1.4203e-02 eta: 2 days, 10:26:52 time: 0.3830 data_time: 0.1367 loss: 2.4512 03/10 19:43:18 - mmengine - INFO - Epoch(train) [112][ 900/1252] lr: 1.4203e-02 eta: 2 days, 10:26:17 time: 0.3709 data_time: 0.2553 loss: 2.4574 03/10 19:43:52 - mmengine - INFO - Epoch(train) [112][1000/1252] lr: 1.4203e-02 eta: 2 days, 10:25:40 time: 0.3489 data_time: 0.0025 loss: 2.4237 03/10 19:44:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:44:25 - mmengine - INFO - Epoch(train) [112][1100/1252] lr: 1.4203e-02 eta: 2 days, 10:24:53 time: 0.2980 data_time: 0.0040 loss: 2.3948 03/10 19:45:00 - mmengine - INFO - Epoch(train) [112][1200/1252] lr: 1.4203e-02 eta: 2 days, 10:24:17 time: 0.3770 data_time: 0.1879 loss: 2.3606 03/10 19:45:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:45:16 - mmengine - INFO - Saving checkpoint at 112 epochs 03/10 19:45:41 - mmengine - INFO - Epoch(val) [112][49/49] accuracy/top1: 54.9680 accuracy/top5: 78.8340 03/10 19:46:17 - mmengine - INFO - Epoch(train) [113][ 100/1252] lr: 1.3820e-02 eta: 2 days, 10:23:29 time: 0.3278 data_time: 0.0025 loss: 2.3128 03/10 19:46:52 - mmengine - INFO - Epoch(train) [113][ 200/1252] lr: 1.3820e-02 eta: 2 days, 10:22:56 time: 0.3655 data_time: 0.1287 loss: 2.3766 03/10 19:47:26 - mmengine - INFO - Epoch(train) [113][ 300/1252] lr: 1.3820e-02 eta: 2 days, 10:22:17 time: 0.3874 data_time: 0.2290 loss: 2.3819 03/10 19:47:59 - mmengine - INFO - Epoch(train) [113][ 400/1252] lr: 1.3820e-02 eta: 2 days, 10:21:32 time: 0.3339 data_time: 0.0393 loss: 2.4703 03/10 19:48:34 - mmengine - INFO - Epoch(train) [113][ 500/1252] lr: 1.3820e-02 eta: 2 days, 10:20:57 time: 0.3589 data_time: 0.1711 loss: 2.4350 03/10 19:49:08 - mmengine - INFO - Epoch(train) [113][ 600/1252] lr: 1.3820e-02 eta: 2 days, 10:20:17 time: 0.3992 data_time: 0.1811 loss: 2.3842 03/10 19:49:42 - mmengine - INFO - Epoch(train) [113][ 700/1252] lr: 1.3820e-02 eta: 2 days, 10:19:43 time: 0.3863 data_time: 0.2443 loss: 2.3233 03/10 19:50:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:50:16 - mmengine - INFO - Epoch(train) [113][ 800/1252] lr: 1.3820e-02 eta: 2 days, 10:19:01 time: 0.3001 data_time: 0.0033 loss: 2.3706 03/10 19:50:51 - mmengine - INFO - Epoch(train) [113][ 900/1252] lr: 1.3820e-02 eta: 2 days, 10:18:33 time: 0.3004 data_time: 0.1785 loss: 2.3427 03/10 19:51:25 - mmengine - INFO - Epoch(train) [113][1000/1252] lr: 1.3820e-02 eta: 2 days, 10:17:57 time: 0.3141 data_time: 0.0032 loss: 2.2897 03/10 19:51:59 - mmengine - INFO - Epoch(train) [113][1100/1252] lr: 1.3820e-02 eta: 2 days, 10:17:15 time: 0.3691 data_time: 0.0025 loss: 2.2194 03/10 19:52:33 - mmengine - INFO - Epoch(train) [113][1200/1252] lr: 1.3820e-02 eta: 2 days, 10:16:40 time: 0.3944 data_time: 0.0556 loss: 2.3736 03/10 19:52:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:52:51 - mmengine - INFO - Saving checkpoint at 113 epochs 03/10 19:53:17 - mmengine - INFO - Epoch(val) [113][49/49] accuracy/top1: 52.8860 accuracy/top5: 77.1820 03/10 19:53:53 - mmengine - INFO - Epoch(train) [114][ 100/1252] lr: 1.3820e-02 eta: 2 days, 10:16:00 time: 0.3844 data_time: 0.1430 loss: 2.3668 03/10 19:54:28 - mmengine - INFO - Epoch(train) [114][ 200/1252] lr: 1.3820e-02 eta: 2 days, 10:15:26 time: 0.3312 data_time: 0.1313 loss: 2.2650 03/10 19:55:02 - mmengine - INFO - Epoch(train) [114][ 300/1252] lr: 1.3820e-02 eta: 2 days, 10:14:44 time: 0.3237 data_time: 0.1277 loss: 2.3411 03/10 19:55:36 - mmengine - INFO - Epoch(train) [114][ 400/1252] lr: 1.3820e-02 eta: 2 days, 10:14:08 time: 0.3445 data_time: 0.0026 loss: 2.2932 03/10 19:56:10 - mmengine - INFO - Epoch(train) [114][ 500/1252] lr: 1.3820e-02 eta: 2 days, 10:13:29 time: 0.3377 data_time: 0.0411 loss: 2.3051 03/10 19:56:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 19:56:45 - mmengine - INFO - Epoch(train) [114][ 600/1252] lr: 1.3820e-02 eta: 2 days, 10:12:55 time: 0.3778 data_time: 0.1479 loss: 2.3526 03/10 19:57:18 - mmengine - INFO - Epoch(train) [114][ 700/1252] lr: 1.3820e-02 eta: 2 days, 10:12:09 time: 0.3119 data_time: 0.1429 loss: 2.3389 03/10 19:57:52 - mmengine - INFO - Epoch(train) [114][ 800/1252] lr: 1.3820e-02 eta: 2 days, 10:11:31 time: 0.2925 data_time: 0.0024 loss: 2.2974 03/10 19:58:26 - mmengine - INFO - Epoch(train) [114][ 900/1252] lr: 1.3820e-02 eta: 2 days, 10:10:53 time: 0.3147 data_time: 0.0526 loss: 2.4461 03/10 19:59:02 - mmengine - INFO - Epoch(train) [114][1000/1252] lr: 1.3820e-02 eta: 2 days, 10:10:30 time: 0.3330 data_time: 0.2037 loss: 2.5088 03/10 19:59:36 - mmengine - INFO - Epoch(train) [114][1100/1252] lr: 1.3820e-02 eta: 2 days, 10:09:51 time: 0.3096 data_time: 0.1634 loss: 2.3702 03/10 20:00:09 - mmengine - INFO - Epoch(train) [114][1200/1252] lr: 1.3820e-02 eta: 2 days, 10:08:59 time: 0.3151 data_time: 0.0193 loss: 2.3777 03/10 20:00:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:00:26 - mmengine - INFO - Saving checkpoint at 114 epochs 03/10 20:00:50 - mmengine - INFO - Epoch(val) [114][49/49] accuracy/top1: 53.9420 accuracy/top5: 78.0660 03/10 20:01:27 - mmengine - INFO - Epoch(train) [115][ 100/1252] lr: 1.3447e-02 eta: 2 days, 10:08:22 time: 0.3199 data_time: 0.0035 loss: 2.3567 03/10 20:02:01 - mmengine - INFO - Epoch(train) [115][ 200/1252] lr: 1.3447e-02 eta: 2 days, 10:07:43 time: 0.3472 data_time: 0.0381 loss: 2.4321 03/10 20:02:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:02:35 - mmengine - INFO - Epoch(train) [115][ 300/1252] lr: 1.3447e-02 eta: 2 days, 10:07:05 time: 0.3774 data_time: 0.0276 loss: 2.2995 03/10 20:03:09 - mmengine - INFO - Epoch(train) [115][ 400/1252] lr: 1.3447e-02 eta: 2 days, 10:06:26 time: 0.3370 data_time: 0.0709 loss: 2.2564 03/10 20:03:43 - mmengine - INFO - Epoch(train) [115][ 500/1252] lr: 1.3447e-02 eta: 2 days, 10:05:43 time: 0.3437 data_time: 0.0545 loss: 2.4054 03/10 20:04:17 - mmengine - INFO - Epoch(train) [115][ 600/1252] lr: 1.3447e-02 eta: 2 days, 10:05:05 time: 0.3060 data_time: 0.0531 loss: 2.3030 03/10 20:04:51 - mmengine - INFO - Epoch(train) [115][ 700/1252] lr: 1.3447e-02 eta: 2 days, 10:04:22 time: 0.3305 data_time: 0.0033 loss: 2.4634 03/10 20:05:25 - mmengine - INFO - Epoch(train) [115][ 800/1252] lr: 1.3447e-02 eta: 2 days, 10:03:51 time: 0.3877 data_time: 0.0029 loss: 2.3243 03/10 20:05:59 - mmengine - INFO - Epoch(train) [115][ 900/1252] lr: 1.3447e-02 eta: 2 days, 10:03:10 time: 0.3035 data_time: 0.0740 loss: 2.4095 03/10 20:06:33 - mmengine - INFO - Epoch(train) [115][1000/1252] lr: 1.3447e-02 eta: 2 days, 10:02:30 time: 0.3105 data_time: 0.0025 loss: 2.2926 03/10 20:07:07 - mmengine - INFO - Epoch(train) [115][1100/1252] lr: 1.3447e-02 eta: 2 days, 10:01:48 time: 0.3328 data_time: 0.0203 loss: 2.3535 03/10 20:07:42 - mmengine - INFO - Epoch(train) [115][1200/1252] lr: 1.3447e-02 eta: 2 days, 10:01:20 time: 0.3457 data_time: 0.0027 loss: 2.3757 03/10 20:07:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:07:59 - mmengine - INFO - Saving checkpoint at 115 epochs 03/10 20:08:23 - mmengine - INFO - Epoch(val) [115][49/49] accuracy/top1: 53.4020 accuracy/top5: 77.5960 03/10 20:08:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:08:59 - mmengine - INFO - Epoch(train) [116][ 100/1252] lr: 1.3447e-02 eta: 2 days, 10:00:34 time: 0.3426 data_time: 0.0670 loss: 2.3962 03/10 20:09:34 - mmengine - INFO - Epoch(train) [116][ 200/1252] lr: 1.3447e-02 eta: 2 days, 10:00:04 time: 0.3402 data_time: 0.1906 loss: 2.3359 03/10 20:10:08 - mmengine - INFO - Epoch(train) [116][ 300/1252] lr: 1.3447e-02 eta: 2 days, 9:59:25 time: 0.3639 data_time: 0.0028 loss: 2.3614 03/10 20:10:43 - mmengine - INFO - Epoch(train) [116][ 400/1252] lr: 1.3447e-02 eta: 2 days, 9:58:51 time: 0.4165 data_time: 0.1701 loss: 2.2434 03/10 20:11:17 - mmengine - INFO - Epoch(train) [116][ 500/1252] lr: 1.3447e-02 eta: 2 days, 9:58:10 time: 0.3610 data_time: 0.0093 loss: 2.3524 03/10 20:11:50 - mmengine - INFO - Epoch(train) [116][ 600/1252] lr: 1.3447e-02 eta: 2 days, 9:57:28 time: 0.2896 data_time: 0.0033 loss: 2.3192 03/10 20:12:25 - mmengine - INFO - Epoch(train) [116][ 700/1252] lr: 1.3447e-02 eta: 2 days, 9:56:51 time: 0.3305 data_time: 0.0026 loss: 2.5074 03/10 20:12:59 - mmengine - INFO - Epoch(train) [116][ 800/1252] lr: 1.3447e-02 eta: 2 days, 9:56:21 time: 0.3677 data_time: 0.0684 loss: 2.3245 03/10 20:13:33 - mmengine - INFO - Epoch(train) [116][ 900/1252] lr: 1.3447e-02 eta: 2 days, 9:55:38 time: 0.3090 data_time: 0.1700 loss: 2.3639 03/10 20:14:07 - mmengine - INFO - Epoch(train) [116][1000/1252] lr: 1.3447e-02 eta: 2 days, 9:55:00 time: 0.3407 data_time: 0.1837 loss: 2.3903 03/10 20:14:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:14:42 - mmengine - INFO - Epoch(train) [116][1100/1252] lr: 1.3447e-02 eta: 2 days, 9:54:25 time: 0.4005 data_time: 0.0026 loss: 2.4680 03/10 20:15:16 - mmengine - INFO - Epoch(train) [116][1200/1252] lr: 1.3447e-02 eta: 2 days, 9:53:51 time: 0.3523 data_time: 0.0034 loss: 2.3706 03/10 20:15:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:15:33 - mmengine - INFO - Saving checkpoint at 116 epochs 03/10 20:15:57 - mmengine - INFO - Epoch(val) [116][49/49] accuracy/top1: 52.0860 accuracy/top5: 76.4680 03/10 20:16:34 - mmengine - INFO - Epoch(train) [117][ 100/1252] lr: 1.3084e-02 eta: 2 days, 9:53:12 time: 0.3626 data_time: 0.0031 loss: 2.2517 03/10 20:17:08 - mmengine - INFO - Epoch(train) [117][ 200/1252] lr: 1.3084e-02 eta: 2 days, 9:52:34 time: 0.2956 data_time: 0.0029 loss: 2.4033 03/10 20:17:42 - mmengine - INFO - Epoch(train) [117][ 300/1252] lr: 1.3084e-02 eta: 2 days, 9:51:57 time: 0.3941 data_time: 0.1707 loss: 2.3949 03/10 20:18:17 - mmengine - INFO - Epoch(train) [117][ 400/1252] lr: 1.3084e-02 eta: 2 days, 9:51:22 time: 0.3421 data_time: 0.1849 loss: 2.4512 03/10 20:18:51 - mmengine - INFO - Epoch(train) [117][ 500/1252] lr: 1.3084e-02 eta: 2 days, 9:50:46 time: 0.3497 data_time: 0.0027 loss: 2.5443 03/10 20:19:25 - mmengine - INFO - Epoch(train) [117][ 600/1252] lr: 1.3084e-02 eta: 2 days, 9:50:04 time: 0.3260 data_time: 0.0442 loss: 2.1393 03/10 20:19:59 - mmengine - INFO - Epoch(train) [117][ 700/1252] lr: 1.3084e-02 eta: 2 days, 9:49:32 time: 0.3446 data_time: 0.0027 loss: 2.4601 03/10 20:20:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:20:33 - mmengine - INFO - Epoch(train) [117][ 800/1252] lr: 1.3084e-02 eta: 2 days, 9:48:49 time: 0.3165 data_time: 0.1337 loss: 2.2404 03/10 20:21:08 - mmengine - INFO - Epoch(train) [117][ 900/1252] lr: 1.3084e-02 eta: 2 days, 9:48:20 time: 0.3747 data_time: 0.2606 loss: 2.3026 03/10 20:21:42 - mmengine - INFO - Epoch(train) [117][1000/1252] lr: 1.3084e-02 eta: 2 days, 9:47:36 time: 0.3359 data_time: 0.0658 loss: 2.3819 03/10 20:22:16 - mmengine - INFO - Epoch(train) [117][1100/1252] lr: 1.3084e-02 eta: 2 days, 9:47:00 time: 0.3325 data_time: 0.0032 loss: 2.4236 03/10 20:22:50 - mmengine - INFO - Epoch(train) [117][1200/1252] lr: 1.3084e-02 eta: 2 days, 9:46:20 time: 0.3284 data_time: 0.0026 loss: 2.4310 03/10 20:23:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:23:06 - mmengine - INFO - Saving checkpoint at 117 epochs 03/10 20:23:32 - mmengine - INFO - Epoch(val) [117][49/49] accuracy/top1: 54.6560 accuracy/top5: 78.7280 03/10 20:24:09 - mmengine - INFO - Epoch(train) [118][ 100/1252] lr: 1.3084e-02 eta: 2 days, 9:45:36 time: 0.3573 data_time: 0.0940 loss: 2.2892 03/10 20:24:43 - mmengine - INFO - Epoch(train) [118][ 200/1252] lr: 1.3084e-02 eta: 2 days, 9:44:59 time: 0.3348 data_time: 0.0316 loss: 2.4105 03/10 20:25:17 - mmengine - INFO - Epoch(train) [118][ 300/1252] lr: 1.3084e-02 eta: 2 days, 9:44:22 time: 0.3619 data_time: 0.1720 loss: 2.3152 03/10 20:25:51 - mmengine - INFO - Epoch(train) [118][ 400/1252] lr: 1.3084e-02 eta: 2 days, 9:43:42 time: 0.2887 data_time: 0.0031 loss: 2.4087 03/10 20:26:25 - mmengine - INFO - Epoch(train) [118][ 500/1252] lr: 1.3084e-02 eta: 2 days, 9:42:57 time: 0.2931 data_time: 0.0036 loss: 2.2982 03/10 20:26:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:26:59 - mmengine - INFO - Epoch(train) [118][ 600/1252] lr: 1.3084e-02 eta: 2 days, 9:42:24 time: 0.2921 data_time: 0.0031 loss: 2.3788 03/10 20:27:33 - mmengine - INFO - Epoch(train) [118][ 700/1252] lr: 1.3084e-02 eta: 2 days, 9:41:45 time: 0.3483 data_time: 0.1219 loss: 2.3520 03/10 20:28:07 - mmengine - INFO - Epoch(train) [118][ 800/1252] lr: 1.3084e-02 eta: 2 days, 9:41:01 time: 0.2967 data_time: 0.1720 loss: 2.3451 03/10 20:28:41 - mmengine - INFO - Epoch(train) [118][ 900/1252] lr: 1.3084e-02 eta: 2 days, 9:40:25 time: 0.3059 data_time: 0.0246 loss: 2.4142 03/10 20:29:15 - mmengine - INFO - Epoch(train) [118][1000/1252] lr: 1.3084e-02 eta: 2 days, 9:39:52 time: 0.3298 data_time: 0.0105 loss: 2.5676 03/10 20:29:50 - mmengine - INFO - Epoch(train) [118][1100/1252] lr: 1.3084e-02 eta: 2 days, 9:39:17 time: 0.3370 data_time: 0.1952 loss: 2.2556 03/10 20:30:24 - mmengine - INFO - Epoch(train) [118][1200/1252] lr: 1.3084e-02 eta: 2 days, 9:38:35 time: 0.3017 data_time: 0.0027 loss: 2.3117 03/10 20:30:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:30:41 - mmengine - INFO - Saving checkpoint at 118 epochs 03/10 20:31:06 - mmengine - INFO - Epoch(val) [118][49/49] accuracy/top1: 53.6780 accuracy/top5: 77.8500 03/10 20:31:43 - mmengine - INFO - Epoch(train) [119][ 100/1252] lr: 1.2730e-02 eta: 2 days, 9:37:57 time: 0.3988 data_time: 0.0029 loss: 2.3607 03/10 20:32:17 - mmengine - INFO - Epoch(train) [119][ 200/1252] lr: 1.2730e-02 eta: 2 days, 9:37:20 time: 0.3475 data_time: 0.0036 loss: 2.2926 03/10 20:32:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:32:51 - mmengine - INFO - Epoch(train) [119][ 300/1252] lr: 1.2730e-02 eta: 2 days, 9:36:41 time: 0.3443 data_time: 0.2026 loss: 2.3104 03/10 20:33:25 - mmengine - INFO - Epoch(train) [119][ 400/1252] lr: 1.2730e-02 eta: 2 days, 9:36:03 time: 0.3384 data_time: 0.0034 loss: 2.2240 03/10 20:33:59 - mmengine - INFO - Epoch(train) [119][ 500/1252] lr: 1.2730e-02 eta: 2 days, 9:35:27 time: 0.3335 data_time: 0.0452 loss: 2.3937 03/10 20:34:33 - mmengine - INFO - Epoch(train) [119][ 600/1252] lr: 1.2730e-02 eta: 2 days, 9:34:51 time: 0.3410 data_time: 0.1171 loss: 2.3962 03/10 20:35:08 - mmengine - INFO - Epoch(train) [119][ 700/1252] lr: 1.2730e-02 eta: 2 days, 9:34:15 time: 0.2817 data_time: 0.0028 loss: 2.3432 03/10 20:35:41 - mmengine - INFO - Epoch(train) [119][ 800/1252] lr: 1.2730e-02 eta: 2 days, 9:33:31 time: 0.2837 data_time: 0.0028 loss: 2.3620 03/10 20:36:16 - mmengine - INFO - Epoch(train) [119][ 900/1252] lr: 1.2730e-02 eta: 2 days, 9:32:59 time: 0.4055 data_time: 0.0026 loss: 2.2578 03/10 20:36:50 - mmengine - INFO - Epoch(train) [119][1000/1252] lr: 1.2730e-02 eta: 2 days, 9:32:22 time: 0.3201 data_time: 0.0347 loss: 2.1521 03/10 20:37:24 - mmengine - INFO - Epoch(train) [119][1100/1252] lr: 1.2730e-02 eta: 2 days, 9:31:38 time: 0.3296 data_time: 0.0028 loss: 2.3000 03/10 20:37:58 - mmengine - INFO - Epoch(train) [119][1200/1252] lr: 1.2730e-02 eta: 2 days, 9:31:00 time: 0.3164 data_time: 0.0026 loss: 2.4150 03/10 20:38:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:38:15 - mmengine - INFO - Saving checkpoint at 119 epochs 03/10 20:38:40 - mmengine - INFO - Epoch(val) [119][49/49] accuracy/top1: 46.7620 accuracy/top5: 71.6300 03/10 20:38:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:39:16 - mmengine - INFO - Epoch(train) [120][ 100/1252] lr: 1.2730e-02 eta: 2 days, 9:30:18 time: 0.3583 data_time: 0.0887 loss: 2.3437 03/10 20:39:51 - mmengine - INFO - Epoch(train) [120][ 200/1252] lr: 1.2730e-02 eta: 2 days, 9:29:52 time: 0.3660 data_time: 0.0040 loss: 2.2728 03/10 20:40:24 - mmengine - INFO - Epoch(train) [120][ 300/1252] lr: 1.2730e-02 eta: 2 days, 9:29:06 time: 0.3126 data_time: 0.0659 loss: 2.1928 03/10 20:40:59 - mmengine - INFO - Epoch(train) [120][ 400/1252] lr: 1.2730e-02 eta: 2 days, 9:28:29 time: 0.3394 data_time: 0.2240 loss: 2.3408 03/10 20:41:33 - mmengine - INFO - Epoch(train) [120][ 500/1252] lr: 1.2730e-02 eta: 2 days, 9:27:54 time: 0.3631 data_time: 0.0029 loss: 2.2618 03/10 20:42:07 - mmengine - INFO - Epoch(train) [120][ 600/1252] lr: 1.2730e-02 eta: 2 days, 9:27:17 time: 0.3532 data_time: 0.1383 loss: 2.3146 03/10 20:42:41 - mmengine - INFO - Epoch(train) [120][ 700/1252] lr: 1.2730e-02 eta: 2 days, 9:26:36 time: 0.3522 data_time: 0.0026 loss: 2.3568 03/10 20:43:14 - mmengine - INFO - Epoch(train) [120][ 800/1252] lr: 1.2730e-02 eta: 2 days, 9:25:53 time: 0.3115 data_time: 0.0026 loss: 2.3264 03/10 20:43:49 - mmengine - INFO - Epoch(train) [120][ 900/1252] lr: 1.2730e-02 eta: 2 days, 9:25:19 time: 0.3377 data_time: 0.0170 loss: 2.3701 03/10 20:44:22 - mmengine - INFO - Epoch(train) [120][1000/1252] lr: 1.2730e-02 eta: 2 days, 9:24:34 time: 0.3121 data_time: 0.1074 loss: 2.4537 03/10 20:44:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:44:57 - mmengine - INFO - Epoch(train) [120][1100/1252] lr: 1.2730e-02 eta: 2 days, 9:24:02 time: 0.3705 data_time: 0.0981 loss: 2.3286 03/10 20:45:31 - mmengine - INFO - Epoch(train) [120][1200/1252] lr: 1.2730e-02 eta: 2 days, 9:23:19 time: 0.2722 data_time: 0.0811 loss: 2.2578 03/10 20:45:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:45:48 - mmengine - INFO - Saving checkpoint at 120 epochs 03/10 20:46:12 - mmengine - INFO - Epoch(val) [120][49/49] accuracy/top1: 54.6120 accuracy/top5: 78.5220 03/10 20:46:49 - mmengine - INFO - Epoch(train) [121][ 100/1252] lr: 1.2387e-02 eta: 2 days, 9:22:38 time: 0.3243 data_time: 0.0189 loss: 2.3535 03/10 20:47:23 - mmengine - INFO - Epoch(train) [121][ 200/1252] lr: 1.2387e-02 eta: 2 days, 9:22:03 time: 0.3318 data_time: 0.0122 loss: 2.3453 03/10 20:47:57 - mmengine - INFO - Epoch(train) [121][ 300/1252] lr: 1.2387e-02 eta: 2 days, 9:21:24 time: 0.3567 data_time: 0.0245 loss: 2.3527 03/10 20:48:31 - mmengine - INFO - Epoch(train) [121][ 400/1252] lr: 1.2387e-02 eta: 2 days, 9:20:41 time: 0.3317 data_time: 0.0559 loss: 2.3298 03/10 20:49:07 - mmengine - INFO - Epoch(train) [121][ 500/1252] lr: 1.2387e-02 eta: 2 days, 9:20:18 time: 0.3720 data_time: 0.0030 loss: 2.3444 03/10 20:49:41 - mmengine - INFO - Epoch(train) [121][ 600/1252] lr: 1.2387e-02 eta: 2 days, 9:19:43 time: 0.4084 data_time: 0.0037 loss: 2.3949 03/10 20:50:14 - mmengine - INFO - Epoch(train) [121][ 700/1252] lr: 1.2387e-02 eta: 2 days, 9:18:55 time: 0.3797 data_time: 0.0028 loss: 2.3870 03/10 20:50:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:50:47 - mmengine - INFO - Epoch(train) [121][ 800/1252] lr: 1.2387e-02 eta: 2 days, 9:18:10 time: 0.3387 data_time: 0.0030 loss: 2.2513 03/10 20:51:22 - mmengine - INFO - Epoch(train) [121][ 900/1252] lr: 1.2387e-02 eta: 2 days, 9:17:36 time: 0.3263 data_time: 0.0207 loss: 2.3452 03/10 20:51:56 - mmengine - INFO - Epoch(train) [121][1000/1252] lr: 1.2387e-02 eta: 2 days, 9:17:01 time: 0.3854 data_time: 0.0028 loss: 2.4312 03/10 20:52:29 - mmengine - INFO - Epoch(train) [121][1100/1252] lr: 1.2387e-02 eta: 2 days, 9:16:16 time: 0.3709 data_time: 0.0029 loss: 2.3733 03/10 20:53:04 - mmengine - INFO - Epoch(train) [121][1200/1252] lr: 1.2387e-02 eta: 2 days, 9:15:39 time: 0.3080 data_time: 0.0033 loss: 2.4501 03/10 20:53:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:53:21 - mmengine - INFO - Saving checkpoint at 121 epochs 03/10 20:53:47 - mmengine - INFO - Epoch(val) [121][49/49] accuracy/top1: 52.9300 accuracy/top5: 77.3280 03/10 20:54:23 - mmengine - INFO - Epoch(train) [122][ 100/1252] lr: 1.2387e-02 eta: 2 days, 9:15:02 time: 0.3533 data_time: 0.1184 loss: 2.2939 03/10 20:54:57 - mmengine - INFO - Epoch(train) [122][ 200/1252] lr: 1.2387e-02 eta: 2 days, 9:14:19 time: 0.3372 data_time: 0.0085 loss: 2.2737 03/10 20:55:31 - mmengine - INFO - Epoch(train) [122][ 300/1252] lr: 1.2387e-02 eta: 2 days, 9:13:39 time: 0.3110 data_time: 0.1574 loss: 2.2276 03/10 20:56:05 - mmengine - INFO - Epoch(train) [122][ 400/1252] lr: 1.2387e-02 eta: 2 days, 9:13:01 time: 0.3758 data_time: 0.1320 loss: 2.3806 03/10 20:56:39 - mmengine - INFO - Epoch(train) [122][ 500/1252] lr: 1.2387e-02 eta: 2 days, 9:12:20 time: 0.3440 data_time: 0.1120 loss: 2.2212 03/10 20:56:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 20:57:13 - mmengine - INFO - Epoch(train) [122][ 600/1252] lr: 1.2387e-02 eta: 2 days, 9:11:43 time: 0.3206 data_time: 0.1452 loss: 2.3697 03/10 20:57:47 - mmengine - INFO - Epoch(train) [122][ 700/1252] lr: 1.2387e-02 eta: 2 days, 9:11:03 time: 0.3403 data_time: 0.1014 loss: 2.2162 03/10 20:58:20 - mmengine - INFO - Epoch(train) [122][ 800/1252] lr: 1.2387e-02 eta: 2 days, 9:10:17 time: 0.3118 data_time: 0.0030 loss: 2.3331 03/10 20:58:54 - mmengine - INFO - Epoch(train) [122][ 900/1252] lr: 1.2387e-02 eta: 2 days, 9:09:44 time: 0.4036 data_time: 0.0028 loss: 2.3160 03/10 20:59:28 - mmengine - INFO - Epoch(train) [122][1000/1252] lr: 1.2387e-02 eta: 2 days, 9:09:08 time: 0.3438 data_time: 0.2070 loss: 2.3573 03/10 21:00:02 - mmengine - INFO - Epoch(train) [122][1100/1252] lr: 1.2387e-02 eta: 2 days, 9:08:25 time: 0.3579 data_time: 0.0437 loss: 2.3741 03/10 21:00:35 - mmengine - INFO - Epoch(train) [122][1200/1252] lr: 1.2387e-02 eta: 2 days, 9:07:39 time: 0.2827 data_time: 0.0558 loss: 2.3487 03/10 21:00:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:00:53 - mmengine - INFO - Saving checkpoint at 122 epochs 03/10 21:01:17 - mmengine - INFO - Epoch(val) [122][49/49] accuracy/top1: 54.1940 accuracy/top5: 77.7060 03/10 21:01:54 - mmengine - INFO - Epoch(train) [123][ 100/1252] lr: 1.2052e-02 eta: 2 days, 9:07:01 time: 0.3609 data_time: 0.2021 loss: 2.2075 03/10 21:02:28 - mmengine - INFO - Epoch(train) [123][ 200/1252] lr: 1.2052e-02 eta: 2 days, 9:06:21 time: 0.3190 data_time: 0.0194 loss: 2.2360 03/10 21:02:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:03:02 - mmengine - INFO - Epoch(train) [123][ 300/1252] lr: 1.2052e-02 eta: 2 days, 9:05:47 time: 0.3704 data_time: 0.0030 loss: 2.3680 03/10 21:03:36 - mmengine - INFO - Epoch(train) [123][ 400/1252] lr: 1.2052e-02 eta: 2 days, 9:05:07 time: 0.3506 data_time: 0.0031 loss: 2.3750 03/10 21:04:10 - mmengine - INFO - Epoch(train) [123][ 500/1252] lr: 1.2052e-02 eta: 2 days, 9:04:24 time: 0.3572 data_time: 0.1636 loss: 2.2495 03/10 21:04:43 - mmengine - INFO - Epoch(train) [123][ 600/1252] lr: 1.2052e-02 eta: 2 days, 9:03:43 time: 0.3023 data_time: 0.0316 loss: 2.3527 03/10 21:05:17 - mmengine - INFO - Epoch(train) [123][ 700/1252] lr: 1.2052e-02 eta: 2 days, 9:03:05 time: 0.3243 data_time: 0.1154 loss: 2.2442 03/10 21:05:52 - mmengine - INFO - Epoch(train) [123][ 800/1252] lr: 1.2052e-02 eta: 2 days, 9:02:31 time: 0.3708 data_time: 0.1553 loss: 2.3234 03/10 21:06:25 - mmengine - INFO - Epoch(train) [123][ 900/1252] lr: 1.2052e-02 eta: 2 days, 9:01:46 time: 0.3251 data_time: 0.1856 loss: 2.2943 03/10 21:07:00 - mmengine - INFO - Epoch(train) [123][1000/1252] lr: 1.2052e-02 eta: 2 days, 9:01:13 time: 0.3574 data_time: 0.1037 loss: 2.2334 03/10 21:07:33 - mmengine - INFO - Epoch(train) [123][1100/1252] lr: 1.2052e-02 eta: 2 days, 9:00:25 time: 0.2940 data_time: 0.0031 loss: 2.2979 03/10 21:08:08 - mmengine - INFO - Epoch(train) [123][1200/1252] lr: 1.2052e-02 eta: 2 days, 8:59:56 time: 0.3619 data_time: 0.0025 loss: 2.3117 03/10 21:08:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:08:23 - mmengine - INFO - Saving checkpoint at 123 epochs 03/10 21:08:49 - mmengine - INFO - Epoch(val) [123][49/49] accuracy/top1: 56.6240 accuracy/top5: 80.0600 03/10 21:08:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:09:26 - mmengine - INFO - Epoch(train) [124][ 100/1252] lr: 1.2052e-02 eta: 2 days, 8:59:03 time: 0.3333 data_time: 0.0457 loss: 2.3659 03/10 21:10:00 - mmengine - INFO - Epoch(train) [124][ 200/1252] lr: 1.2052e-02 eta: 2 days, 8:58:24 time: 0.4300 data_time: 0.0949 loss: 2.3694 03/10 21:10:34 - mmengine - INFO - Epoch(train) [124][ 300/1252] lr: 1.2052e-02 eta: 2 days, 8:57:47 time: 0.3282 data_time: 0.1857 loss: 2.3588 03/10 21:11:07 - mmengine - INFO - Epoch(train) [124][ 400/1252] lr: 1.2052e-02 eta: 2 days, 8:57:00 time: 0.3401 data_time: 0.0285 loss: 2.3448 03/10 21:11:41 - mmengine - INFO - Epoch(train) [124][ 500/1252] lr: 1.2052e-02 eta: 2 days, 8:56:24 time: 0.3864 data_time: 0.1592 loss: 2.3128 03/10 21:12:15 - mmengine - INFO - Epoch(train) [124][ 600/1252] lr: 1.2052e-02 eta: 2 days, 8:55:42 time: 0.3176 data_time: 0.0037 loss: 2.2947 03/10 21:12:49 - mmengine - INFO - Epoch(train) [124][ 700/1252] lr: 1.2052e-02 eta: 2 days, 8:55:04 time: 0.3084 data_time: 0.0616 loss: 2.5330 03/10 21:13:23 - mmengine - INFO - Epoch(train) [124][ 800/1252] lr: 1.2052e-02 eta: 2 days, 8:54:26 time: 0.3627 data_time: 0.0082 loss: 2.3066 03/10 21:13:57 - mmengine - INFO - Epoch(train) [124][ 900/1252] lr: 1.2052e-02 eta: 2 days, 8:53:45 time: 0.3211 data_time: 0.0028 loss: 2.2527 03/10 21:14:31 - mmengine - INFO - Epoch(train) [124][1000/1252] lr: 1.2052e-02 eta: 2 days, 8:53:10 time: 0.3795 data_time: 0.0080 loss: 2.4458 03/10 21:14:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:15:04 - mmengine - INFO - Epoch(train) [124][1100/1252] lr: 1.2052e-02 eta: 2 days, 8:52:26 time: 0.3405 data_time: 0.0434 loss: 2.2413 03/10 21:15:38 - mmengine - INFO - Epoch(train) [124][1200/1252] lr: 1.2052e-02 eta: 2 days, 8:51:47 time: 0.3525 data_time: 0.0029 loss: 2.2947 03/10 21:15:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:15:55 - mmengine - INFO - Saving checkpoint at 124 epochs 03/10 21:16:19 - mmengine - INFO - Epoch(val) [124][49/49] accuracy/top1: 52.7820 accuracy/top5: 76.8580 03/10 21:16:56 - mmengine - INFO - Epoch(train) [125][ 100/1252] lr: 1.1727e-02 eta: 2 days, 8:50:58 time: 0.3276 data_time: 0.0029 loss: 2.2727 03/10 21:17:30 - mmengine - INFO - Epoch(train) [125][ 200/1252] lr: 1.1727e-02 eta: 2 days, 8:50:24 time: 0.2683 data_time: 0.1475 loss: 2.3273 03/10 21:18:05 - mmengine - INFO - Epoch(train) [125][ 300/1252] lr: 1.1727e-02 eta: 2 days, 8:49:47 time: 0.2977 data_time: 0.0043 loss: 2.2502 03/10 21:18:39 - mmengine - INFO - Epoch(train) [125][ 400/1252] lr: 1.1727e-02 eta: 2 days, 8:49:18 time: 0.3398 data_time: 0.0030 loss: 2.2812 03/10 21:19:13 - mmengine - INFO - Epoch(train) [125][ 500/1252] lr: 1.1727e-02 eta: 2 days, 8:48:40 time: 0.3353 data_time: 0.0027 loss: 2.3261 03/10 21:19:47 - mmengine - INFO - Epoch(train) [125][ 600/1252] lr: 1.1727e-02 eta: 2 days, 8:47:55 time: 0.3252 data_time: 0.0056 loss: 2.2810 03/10 21:20:21 - mmengine - INFO - Epoch(train) [125][ 700/1252] lr: 1.1727e-02 eta: 2 days, 8:47:19 time: 0.2940 data_time: 0.0028 loss: 2.3723 03/10 21:20:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:20:55 - mmengine - INFO - Epoch(train) [125][ 800/1252] lr: 1.1727e-02 eta: 2 days, 8:46:42 time: 0.2630 data_time: 0.0206 loss: 2.3452 03/10 21:21:30 - mmengine - INFO - Epoch(train) [125][ 900/1252] lr: 1.1727e-02 eta: 2 days, 8:46:11 time: 0.3482 data_time: 0.0023 loss: 2.3001 03/10 21:22:03 - mmengine - INFO - Epoch(train) [125][1000/1252] lr: 1.1727e-02 eta: 2 days, 8:45:30 time: 0.3102 data_time: 0.0803 loss: 2.2486 03/10 21:22:38 - mmengine - INFO - Epoch(train) [125][1100/1252] lr: 1.1727e-02 eta: 2 days, 8:44:59 time: 0.3892 data_time: 0.2523 loss: 2.2732 03/10 21:23:12 - mmengine - INFO - Epoch(train) [125][1200/1252] lr: 1.1727e-02 eta: 2 days, 8:44:16 time: 0.3009 data_time: 0.0025 loss: 2.2755 03/10 21:23:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:23:29 - mmengine - INFO - Saving checkpoint at 125 epochs 03/10 21:23:54 - mmengine - INFO - Epoch(val) [125][49/49] accuracy/top1: 55.8640 accuracy/top5: 79.5620 03/10 21:24:33 - mmengine - INFO - Epoch(train) [126][ 100/1252] lr: 1.1727e-02 eta: 2 days, 8:43:52 time: 0.3718 data_time: 0.0035 loss: 2.2644 03/10 21:25:07 - mmengine - INFO - Epoch(train) [126][ 200/1252] lr: 1.1727e-02 eta: 2 days, 8:43:16 time: 0.3830 data_time: 0.0033 loss: 2.3715 03/10 21:25:51 - mmengine - INFO - Epoch(train) [126][ 300/1252] lr: 1.1727e-02 eta: 2 days, 8:44:05 time: 0.6728 data_time: 0.1188 loss: 2.3101 03/10 21:27:04 - mmengine - INFO - Epoch(train) [126][ 400/1252] lr: 1.1727e-02 eta: 2 days, 8:48:56 time: 0.7335 data_time: 0.2313 loss: 2.3770 03/10 21:28:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:28:00 - mmengine - INFO - Epoch(train) [126][ 500/1252] lr: 1.1727e-02 eta: 2 days, 8:51:22 time: 0.3443 data_time: 0.0156 loss: 2.2177 03/10 21:28:35 - mmengine - INFO - Epoch(train) [126][ 600/1252] lr: 1.1727e-02 eta: 2 days, 8:50:51 time: 0.3742 data_time: 0.0027 loss: 2.3652 03/10 21:29:09 - mmengine - INFO - Epoch(train) [126][ 700/1252] lr: 1.1727e-02 eta: 2 days, 8:50:09 time: 0.2829 data_time: 0.0479 loss: 2.2366 03/10 21:29:43 - mmengine - INFO - Epoch(train) [126][ 800/1252] lr: 1.1727e-02 eta: 2 days, 8:49:34 time: 0.2875 data_time: 0.0028 loss: 2.3053 03/10 21:30:18 - mmengine - INFO - Epoch(train) [126][ 900/1252] lr: 1.1727e-02 eta: 2 days, 8:49:04 time: 0.3767 data_time: 0.0580 loss: 2.4140 03/10 21:30:53 - mmengine - INFO - Epoch(train) [126][1000/1252] lr: 1.1727e-02 eta: 2 days, 8:48:27 time: 0.4069 data_time: 0.0670 loss: 2.3165 03/10 21:31:26 - mmengine - INFO - Epoch(train) [126][1100/1252] lr: 1.1727e-02 eta: 2 days, 8:47:47 time: 0.3299 data_time: 0.0347 loss: 2.1797 03/10 21:32:00 - mmengine - INFO - Epoch(train) [126][1200/1252] lr: 1.1727e-02 eta: 2 days, 8:47:08 time: 0.3647 data_time: 0.0027 loss: 2.2446 03/10 21:32:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:32:17 - mmengine - INFO - Saving checkpoint at 126 epochs 03/10 21:32:42 - mmengine - INFO - Epoch(val) [126][49/49] accuracy/top1: 52.6560 accuracy/top5: 77.1080 03/10 21:33:19 - mmengine - INFO - Epoch(train) [127][ 100/1252] lr: 1.1410e-02 eta: 2 days, 8:46:21 time: 0.3388 data_time: 0.0028 loss: 2.2723 03/10 21:33:54 - mmengine - INFO - Epoch(train) [127][ 200/1252] lr: 1.1410e-02 eta: 2 days, 8:45:51 time: 0.3938 data_time: 0.0036 loss: 2.3615 03/10 21:34:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:34:28 - mmengine - INFO - Epoch(train) [127][ 300/1252] lr: 1.1410e-02 eta: 2 days, 8:45:12 time: 0.2859 data_time: 0.0810 loss: 2.3751 03/10 21:35:02 - mmengine - INFO - Epoch(train) [127][ 400/1252] lr: 1.1410e-02 eta: 2 days, 8:44:34 time: 0.3373 data_time: 0.0459 loss: 2.2696 03/10 21:35:36 - mmengine - INFO - Epoch(train) [127][ 500/1252] lr: 1.1410e-02 eta: 2 days, 8:43:54 time: 0.3513 data_time: 0.1204 loss: 2.3554 03/10 21:36:10 - mmengine - INFO - Epoch(train) [127][ 600/1252] lr: 1.1410e-02 eta: 2 days, 8:43:18 time: 0.3832 data_time: 0.1817 loss: 2.2018 03/10 21:36:45 - mmengine - INFO - Epoch(train) [127][ 700/1252] lr: 1.1410e-02 eta: 2 days, 8:42:47 time: 0.3668 data_time: 0.1691 loss: 2.2219 03/10 21:37:19 - mmengine - INFO - Epoch(train) [127][ 800/1252] lr: 1.1410e-02 eta: 2 days, 8:42:09 time: 0.3423 data_time: 0.0959 loss: 2.2893 03/10 21:37:53 - mmengine - INFO - Epoch(train) [127][ 900/1252] lr: 1.1410e-02 eta: 2 days, 8:41:28 time: 0.3299 data_time: 0.1618 loss: 2.4044 03/10 21:38:27 - mmengine - INFO - Epoch(train) [127][1000/1252] lr: 1.1410e-02 eta: 2 days, 8:40:53 time: 0.3898 data_time: 0.1710 loss: 2.4086 03/10 21:39:01 - mmengine - INFO - Epoch(train) [127][1100/1252] lr: 1.1410e-02 eta: 2 days, 8:40:17 time: 0.4049 data_time: 0.0079 loss: 2.2647 03/10 21:39:35 - mmengine - INFO - Epoch(train) [127][1200/1252] lr: 1.1410e-02 eta: 2 days, 8:39:39 time: 0.3342 data_time: 0.1905 loss: 2.3789 03/10 21:39:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:39:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:39:53 - mmengine - INFO - Saving checkpoint at 127 epochs 03/10 21:40:19 - mmengine - INFO - Epoch(val) [127][49/49] accuracy/top1: 53.7540 accuracy/top5: 77.6860 03/10 21:40:56 - mmengine - INFO - Epoch(train) [128][ 100/1252] lr: 1.1410e-02 eta: 2 days, 8:39:00 time: 0.3651 data_time: 0.0236 loss: 2.3901 03/10 21:41:31 - mmengine - INFO - Epoch(train) [128][ 200/1252] lr: 1.1410e-02 eta: 2 days, 8:38:27 time: 0.3373 data_time: 0.1368 loss: 2.4196 03/10 21:42:06 - mmengine - INFO - Epoch(train) [128][ 300/1252] lr: 1.1410e-02 eta: 2 days, 8:38:01 time: 0.3954 data_time: 0.0036 loss: 2.3146 03/10 21:42:40 - mmengine - INFO - Epoch(train) [128][ 400/1252] lr: 1.1410e-02 eta: 2 days, 8:37:21 time: 0.3272 data_time: 0.0030 loss: 2.3282 03/10 21:43:51 - mmengine - INFO - Epoch(train) [128][ 500/1252] lr: 1.1410e-02 eta: 2 days, 8:41:45 time: 0.8164 data_time: 0.0058 loss: 2.2584 03/10 21:44:58 - mmengine - INFO - Epoch(train) [128][ 600/1252] lr: 1.1410e-02 eta: 2 days, 8:45:29 time: 0.3671 data_time: 0.0051 loss: 2.3062 03/10 21:45:33 - mmengine - INFO - Epoch(train) [128][ 700/1252] lr: 1.1410e-02 eta: 2 days, 8:44:59 time: 0.3113 data_time: 0.1000 loss: 2.2303 03/10 21:46:07 - mmengine - INFO - Epoch(train) [128][ 800/1252] lr: 1.1410e-02 eta: 2 days, 8:44:22 time: 0.4039 data_time: 0.1286 loss: 2.3806 03/10 21:46:42 - mmengine - INFO - Epoch(train) [128][ 900/1252] lr: 1.1410e-02 eta: 2 days, 8:43:45 time: 0.2892 data_time: 0.0026 loss: 2.2308 03/10 21:47:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:47:15 - mmengine - INFO - Epoch(train) [128][1000/1252] lr: 1.1410e-02 eta: 2 days, 8:43:03 time: 0.3931 data_time: 0.0610 loss: 2.3141 03/10 21:47:49 - mmengine - INFO - Epoch(train) [128][1100/1252] lr: 1.1410e-02 eta: 2 days, 8:42:24 time: 0.3755 data_time: 0.0506 loss: 2.2397 03/10 21:48:24 - mmengine - INFO - Epoch(train) [128][1200/1252] lr: 1.1410e-02 eta: 2 days, 8:41:47 time: 0.3633 data_time: 0.2226 loss: 2.2850 03/10 21:48:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:48:41 - mmengine - INFO - Saving checkpoint at 128 epochs 03/10 21:49:06 - mmengine - INFO - Epoch(val) [128][49/49] accuracy/top1: 51.4420 accuracy/top5: 75.5340 03/10 21:49:43 - mmengine - INFO - Epoch(train) [129][ 100/1252] lr: 1.1102e-02 eta: 2 days, 8:40:59 time: 0.3785 data_time: 0.0823 loss: 2.2162 03/10 21:50:17 - mmengine - INFO - Epoch(train) [129][ 200/1252] lr: 1.1102e-02 eta: 2 days, 8:40:20 time: 0.2523 data_time: 0.0033 loss: 2.3087 03/10 21:50:51 - mmengine - INFO - Epoch(train) [129][ 300/1252] lr: 1.1102e-02 eta: 2 days, 8:39:39 time: 0.3322 data_time: 0.0174 loss: 2.1587 03/10 21:51:25 - mmengine - INFO - Epoch(train) [129][ 400/1252] lr: 1.1102e-02 eta: 2 days, 8:39:02 time: 0.3413 data_time: 0.0029 loss: 2.2388 03/10 21:51:59 - mmengine - INFO - Epoch(train) [129][ 500/1252] lr: 1.1102e-02 eta: 2 days, 8:38:21 time: 0.3144 data_time: 0.0027 loss: 2.3087 03/10 21:52:33 - mmengine - INFO - Epoch(train) [129][ 600/1252] lr: 1.1102e-02 eta: 2 days, 8:37:44 time: 0.3354 data_time: 0.0599 loss: 2.3997 03/10 21:53:07 - mmengine - INFO - Epoch(train) [129][ 700/1252] lr: 1.1102e-02 eta: 2 days, 8:37:07 time: 0.2993 data_time: 0.1264 loss: 2.3924 03/10 21:53:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:53:42 - mmengine - INFO - Epoch(train) [129][ 800/1252] lr: 1.1102e-02 eta: 2 days, 8:36:31 time: 0.3255 data_time: 0.1158 loss: 2.3036 03/10 21:54:16 - mmengine - INFO - Epoch(train) [129][ 900/1252] lr: 1.1102e-02 eta: 2 days, 8:35:50 time: 0.3363 data_time: 0.2148 loss: 2.2549 03/10 21:54:50 - mmengine - INFO - Epoch(train) [129][1000/1252] lr: 1.1102e-02 eta: 2 days, 8:35:12 time: 0.3027 data_time: 0.1000 loss: 2.3057 03/10 21:55:24 - mmengine - INFO - Epoch(train) [129][1100/1252] lr: 1.1102e-02 eta: 2 days, 8:34:33 time: 0.3334 data_time: 0.0033 loss: 2.3767 03/10 21:55:58 - mmengine - INFO - Epoch(train) [129][1200/1252] lr: 1.1102e-02 eta: 2 days, 8:33:57 time: 0.3437 data_time: 0.0149 loss: 2.2058 03/10 21:56:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:56:15 - mmengine - INFO - Saving checkpoint at 129 epochs 03/10 21:56:40 - mmengine - INFO - Epoch(val) [129][49/49] accuracy/top1: 51.9240 accuracy/top5: 75.9280 03/10 21:57:17 - mmengine - INFO - Epoch(train) [130][ 100/1252] lr: 1.1102e-02 eta: 2 days, 8:33:16 time: 0.3478 data_time: 0.0027 loss: 2.3103 03/10 21:57:50 - mmengine - INFO - Epoch(train) [130][ 200/1252] lr: 1.1102e-02 eta: 2 days, 8:32:32 time: 0.3122 data_time: 0.0033 loss: 2.3446 03/10 21:58:25 - mmengine - INFO - Epoch(train) [130][ 300/1252] lr: 1.1102e-02 eta: 2 days, 8:31:58 time: 0.3627 data_time: 0.1117 loss: 2.2842 03/10 21:58:58 - mmengine - INFO - Epoch(train) [130][ 400/1252] lr: 1.1102e-02 eta: 2 days, 8:31:14 time: 0.2914 data_time: 0.1421 loss: 2.3718 03/10 21:59:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 21:59:33 - mmengine - INFO - Epoch(train) [130][ 500/1252] lr: 1.1102e-02 eta: 2 days, 8:30:37 time: 0.3313 data_time: 0.0035 loss: 2.2379 03/10 22:00:07 - mmengine - INFO - Epoch(train) [130][ 600/1252] lr: 1.1102e-02 eta: 2 days, 8:29:59 time: 0.3079 data_time: 0.0512 loss: 2.2680 03/10 22:00:41 - mmengine - INFO - Epoch(train) [130][ 700/1252] lr: 1.1102e-02 eta: 2 days, 8:29:18 time: 0.3281 data_time: 0.0174 loss: 2.1382 03/10 22:01:15 - mmengine - INFO - Epoch(train) [130][ 800/1252] lr: 1.1102e-02 eta: 2 days, 8:28:43 time: 0.3090 data_time: 0.1850 loss: 2.3224 03/10 22:01:50 - mmengine - INFO - Epoch(train) [130][ 900/1252] lr: 1.1102e-02 eta: 2 days, 8:28:07 time: 0.3097 data_time: 0.0488 loss: 2.3625 03/10 22:02:23 - mmengine - INFO - Epoch(train) [130][1000/1252] lr: 1.1102e-02 eta: 2 days, 8:27:25 time: 0.3220 data_time: 0.0028 loss: 2.2972 03/10 22:02:57 - mmengine - INFO - Epoch(train) [130][1100/1252] lr: 1.1102e-02 eta: 2 days, 8:26:48 time: 0.3005 data_time: 0.0858 loss: 2.2969 03/10 22:03:32 - mmengine - INFO - Epoch(train) [130][1200/1252] lr: 1.1102e-02 eta: 2 days, 8:26:11 time: 0.3123 data_time: 0.0254 loss: 2.3435 03/10 22:03:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:03:49 - mmengine - INFO - Saving checkpoint at 130 epochs 03/10 22:04:14 - mmengine - INFO - Epoch(val) [130][49/49] accuracy/top1: 54.1880 accuracy/top5: 78.3340 03/10 22:04:51 - mmengine - INFO - Epoch(train) [131][ 100/1252] lr: 1.0802e-02 eta: 2 days, 8:25:25 time: 0.3734 data_time: 0.0247 loss: 2.3381 03/10 22:05:25 - mmengine - INFO - Epoch(train) [131][ 200/1252] lr: 1.0802e-02 eta: 2 days, 8:24:45 time: 0.3422 data_time: 0.0030 loss: 2.3333 03/10 22:05:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:05:59 - mmengine - INFO - Epoch(train) [131][ 300/1252] lr: 1.0802e-02 eta: 2 days, 8:24:10 time: 0.3953 data_time: 0.1788 loss: 2.3216 03/10 22:06:33 - mmengine - INFO - Epoch(train) [131][ 400/1252] lr: 1.0802e-02 eta: 2 days, 8:23:26 time: 0.3348 data_time: 0.1046 loss: 2.1596 03/10 22:07:07 - mmengine - INFO - Epoch(train) [131][ 500/1252] lr: 1.0802e-02 eta: 2 days, 8:22:52 time: 0.3478 data_time: 0.0034 loss: 2.2810 03/10 22:07:41 - mmengine - INFO - Epoch(train) [131][ 600/1252] lr: 1.0802e-02 eta: 2 days, 8:22:12 time: 0.3403 data_time: 0.0041 loss: 2.2987 03/10 22:08:16 - mmengine - INFO - Epoch(train) [131][ 700/1252] lr: 1.0802e-02 eta: 2 days, 8:21:36 time: 0.3913 data_time: 0.1332 loss: 2.3883 03/10 22:08:50 - mmengine - INFO - Epoch(train) [131][ 800/1252] lr: 1.0802e-02 eta: 2 days, 8:20:58 time: 0.3236 data_time: 0.0900 loss: 2.3247 03/10 22:09:24 - mmengine - INFO - Epoch(train) [131][ 900/1252] lr: 1.0802e-02 eta: 2 days, 8:20:23 time: 0.3612 data_time: 0.1937 loss: 2.4110 03/10 22:09:59 - mmengine - INFO - Epoch(train) [131][1000/1252] lr: 1.0802e-02 eta: 2 days, 8:19:46 time: 0.3188 data_time: 0.0798 loss: 2.2589 03/10 22:10:33 - mmengine - INFO - Epoch(train) [131][1100/1252] lr: 1.0802e-02 eta: 2 days, 8:19:08 time: 0.3359 data_time: 0.0793 loss: 2.2842 03/10 22:11:07 - mmengine - INFO - Epoch(train) [131][1200/1252] lr: 1.0802e-02 eta: 2 days, 8:18:31 time: 0.3102 data_time: 0.0033 loss: 2.2591 03/10 22:11:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:11:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:11:24 - mmengine - INFO - Saving checkpoint at 131 epochs 03/10 22:11:50 - mmengine - INFO - Epoch(val) [131][49/49] accuracy/top1: 49.7980 accuracy/top5: 73.8020 03/10 22:12:26 - mmengine - INFO - Epoch(train) [132][ 100/1252] lr: 1.0802e-02 eta: 2 days, 8:17:43 time: 0.3378 data_time: 0.0092 loss: 2.2112 03/10 22:13:00 - mmengine - INFO - Epoch(train) [132][ 200/1252] lr: 1.0802e-02 eta: 2 days, 8:17:03 time: 0.3252 data_time: 0.0066 loss: 2.2389 03/10 22:13:34 - mmengine - INFO - Epoch(train) [132][ 300/1252] lr: 1.0802e-02 eta: 2 days, 8:16:22 time: 0.2880 data_time: 0.0400 loss: 2.2477 03/10 22:14:09 - mmengine - INFO - Epoch(train) [132][ 400/1252] lr: 1.0802e-02 eta: 2 days, 8:15:51 time: 0.3851 data_time: 0.1163 loss: 2.2820 03/10 22:14:43 - mmengine - INFO - Epoch(train) [132][ 500/1252] lr: 1.0802e-02 eta: 2 days, 8:15:08 time: 0.3043 data_time: 0.1614 loss: 2.1966 03/10 22:15:16 - mmengine - INFO - Epoch(train) [132][ 600/1252] lr: 1.0802e-02 eta: 2 days, 8:14:27 time: 0.3227 data_time: 0.0713 loss: 2.3202 03/10 22:15:52 - mmengine - INFO - Epoch(train) [132][ 700/1252] lr: 1.0802e-02 eta: 2 days, 8:13:59 time: 0.3681 data_time: 0.0024 loss: 2.2741 03/10 22:16:25 - mmengine - INFO - Epoch(train) [132][ 800/1252] lr: 1.0802e-02 eta: 2 days, 8:13:16 time: 0.3006 data_time: 0.0028 loss: 2.2313 03/10 22:17:00 - mmengine - INFO - Epoch(train) [132][ 900/1252] lr: 1.0802e-02 eta: 2 days, 8:12:41 time: 0.3675 data_time: 0.1164 loss: 2.3183 03/10 22:17:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:17:34 - mmengine - INFO - Epoch(train) [132][1000/1252] lr: 1.0802e-02 eta: 2 days, 8:12:02 time: 0.3594 data_time: 0.2006 loss: 2.3060 03/10 22:18:09 - mmengine - INFO - Epoch(train) [132][1100/1252] lr: 1.0802e-02 eta: 2 days, 8:11:30 time: 0.3347 data_time: 0.0024 loss: 2.1857 03/10 22:18:42 - mmengine - INFO - Epoch(train) [132][1200/1252] lr: 1.0802e-02 eta: 2 days, 8:10:44 time: 0.3600 data_time: 0.0497 loss: 2.2797 03/10 22:18:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:18:59 - mmengine - INFO - Saving checkpoint at 132 epochs 03/10 22:19:24 - mmengine - INFO - Epoch(val) [132][49/49] accuracy/top1: 51.6460 accuracy/top5: 75.8640 03/10 22:20:00 - mmengine - INFO - Epoch(train) [133][ 100/1252] lr: 1.0511e-02 eta: 2 days, 8:09:59 time: 0.3196 data_time: 0.1019 loss: 2.3061 03/10 22:20:34 - mmengine - INFO - Epoch(train) [133][ 200/1252] lr: 1.0511e-02 eta: 2 days, 8:09:19 time: 0.3738 data_time: 0.1185 loss: 2.2312 03/10 22:21:09 - mmengine - INFO - Epoch(train) [133][ 300/1252] lr: 1.0511e-02 eta: 2 days, 8:08:43 time: 0.3395 data_time: 0.0273 loss: 2.3380 03/10 22:21:43 - mmengine - INFO - Epoch(train) [133][ 400/1252] lr: 1.0511e-02 eta: 2 days, 8:08:04 time: 0.3586 data_time: 0.2270 loss: 2.2565 03/10 22:22:17 - mmengine - INFO - Epoch(train) [133][ 500/1252] lr: 1.0511e-02 eta: 2 days, 8:07:25 time: 0.3343 data_time: 0.1440 loss: 2.2333 03/10 22:22:52 - mmengine - INFO - Epoch(train) [133][ 600/1252] lr: 1.0511e-02 eta: 2 days, 8:06:53 time: 0.3170 data_time: 0.0402 loss: 2.3092 03/10 22:23:26 - mmengine - INFO - Epoch(train) [133][ 700/1252] lr: 1.0511e-02 eta: 2 days, 8:06:15 time: 0.3610 data_time: 0.2051 loss: 2.2851 03/10 22:23:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:24:01 - mmengine - INFO - Epoch(train) [133][ 800/1252] lr: 1.0511e-02 eta: 2 days, 8:05:43 time: 0.4221 data_time: 0.0945 loss: 2.3256 03/10 22:24:35 - mmengine - INFO - Epoch(train) [133][ 900/1252] lr: 1.0511e-02 eta: 2 days, 8:05:03 time: 0.3641 data_time: 0.0685 loss: 2.3572 03/10 22:25:08 - mmengine - INFO - Epoch(train) [133][1000/1252] lr: 1.0511e-02 eta: 2 days, 8:04:21 time: 0.3709 data_time: 0.2518 loss: 2.2587 03/10 22:25:42 - mmengine - INFO - Epoch(train) [133][1100/1252] lr: 1.0511e-02 eta: 2 days, 8:03:45 time: 0.3131 data_time: 0.0033 loss: 2.2721 03/10 22:26:17 - mmengine - INFO - Epoch(train) [133][1200/1252] lr: 1.0511e-02 eta: 2 days, 8:03:09 time: 0.2874 data_time: 0.0026 loss: 2.2584 03/10 22:26:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:26:34 - mmengine - INFO - Saving checkpoint at 133 epochs 03/10 22:27:00 - mmengine - INFO - Epoch(val) [133][49/49] accuracy/top1: 54.8080 accuracy/top5: 78.3600 03/10 22:27:37 - mmengine - INFO - Epoch(train) [134][ 100/1252] lr: 1.0511e-02 eta: 2 days, 8:02:27 time: 0.3103 data_time: 0.1821 loss: 2.1271 03/10 22:28:10 - mmengine - INFO - Epoch(train) [134][ 200/1252] lr: 1.0511e-02 eta: 2 days, 8:01:46 time: 0.2883 data_time: 0.0213 loss: 2.1589 03/10 22:28:45 - mmengine - INFO - Epoch(train) [134][ 300/1252] lr: 1.0511e-02 eta: 2 days, 8:01:16 time: 0.4271 data_time: 0.0025 loss: 2.2293 03/10 22:29:19 - mmengine - INFO - Epoch(train) [134][ 400/1252] lr: 1.0511e-02 eta: 2 days, 8:00:32 time: 0.3929 data_time: 0.1063 loss: 2.2600 03/10 22:29:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:29:53 - mmengine - INFO - Epoch(train) [134][ 500/1252] lr: 1.0511e-02 eta: 2 days, 7:59:53 time: 0.2963 data_time: 0.0024 loss: 2.3149 03/10 22:30:27 - mmengine - INFO - Epoch(train) [134][ 600/1252] lr: 1.0511e-02 eta: 2 days, 7:59:17 time: 0.3751 data_time: 0.0034 loss: 2.3459 03/10 22:31:02 - mmengine - INFO - Epoch(train) [134][ 700/1252] lr: 1.0511e-02 eta: 2 days, 7:58:45 time: 0.3565 data_time: 0.1938 loss: 2.2310 03/10 22:31:36 - mmengine - INFO - Epoch(train) [134][ 800/1252] lr: 1.0511e-02 eta: 2 days, 7:58:07 time: 0.3645 data_time: 0.0818 loss: 2.2502 03/10 22:32:10 - mmengine - INFO - Epoch(train) [134][ 900/1252] lr: 1.0511e-02 eta: 2 days, 7:57:26 time: 0.3602 data_time: 0.0258 loss: 2.2733 03/10 22:32:44 - mmengine - INFO - Epoch(train) [134][1000/1252] lr: 1.0511e-02 eta: 2 days, 7:56:49 time: 0.3196 data_time: 0.0585 loss: 2.2671 03/10 22:33:18 - mmengine - INFO - Epoch(train) [134][1100/1252] lr: 1.0511e-02 eta: 2 days, 7:56:10 time: 0.3370 data_time: 0.0292 loss: 2.3647 03/10 22:33:52 - mmengine - INFO - Epoch(train) [134][1200/1252] lr: 1.0511e-02 eta: 2 days, 7:55:31 time: 0.2998 data_time: 0.0025 loss: 2.2453 03/10 22:34:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:34:09 - mmengine - INFO - Saving checkpoint at 134 epochs 03/10 22:34:35 - mmengine - INFO - Epoch(val) [134][49/49] accuracy/top1: 56.4200 accuracy/top5: 80.0680 03/10 22:35:11 - mmengine - INFO - Epoch(train) [135][ 100/1252] lr: 1.0227e-02 eta: 2 days, 7:54:44 time: 0.3077 data_time: 0.1829 loss: 2.1714 03/10 22:35:45 - mmengine - INFO - Epoch(train) [135][ 200/1252] lr: 1.0227e-02 eta: 2 days, 7:54:04 time: 0.3506 data_time: 0.0898 loss: 2.2747 03/10 22:35:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:36:19 - mmengine - INFO - Epoch(train) [135][ 300/1252] lr: 1.0227e-02 eta: 2 days, 7:53:24 time: 0.3421 data_time: 0.0248 loss: 2.2936 03/10 22:36:54 - mmengine - INFO - Epoch(train) [135][ 400/1252] lr: 1.0227e-02 eta: 2 days, 7:52:54 time: 0.3670 data_time: 0.0030 loss: 2.3059 03/10 22:37:28 - mmengine - INFO - Epoch(train) [135][ 500/1252] lr: 1.0227e-02 eta: 2 days, 7:52:09 time: 0.3178 data_time: 0.0988 loss: 2.3190 03/10 22:38:02 - mmengine - INFO - Epoch(train) [135][ 600/1252] lr: 1.0227e-02 eta: 2 days, 7:51:33 time: 0.3385 data_time: 0.0622 loss: 2.2228 03/10 22:38:37 - mmengine - INFO - Epoch(train) [135][ 700/1252] lr: 1.0227e-02 eta: 2 days, 7:50:58 time: 0.3000 data_time: 0.1479 loss: 2.1914 03/10 22:39:11 - mmengine - INFO - Epoch(train) [135][ 800/1252] lr: 1.0227e-02 eta: 2 days, 7:50:22 time: 0.3973 data_time: 0.0879 loss: 2.2460 03/10 22:39:44 - mmengine - INFO - Epoch(train) [135][ 900/1252] lr: 1.0227e-02 eta: 2 days, 7:49:40 time: 0.3233 data_time: 0.0929 loss: 2.2463 03/10 22:40:19 - mmengine - INFO - Epoch(train) [135][1000/1252] lr: 1.0227e-02 eta: 2 days, 7:49:09 time: 0.3636 data_time: 0.0027 loss: 2.3120 03/10 22:40:53 - mmengine - INFO - Epoch(train) [135][1100/1252] lr: 1.0227e-02 eta: 2 days, 7:48:28 time: 0.3300 data_time: 0.0225 loss: 2.2320 03/10 22:41:27 - mmengine - INFO - Epoch(train) [135][1200/1252] lr: 1.0227e-02 eta: 2 days, 7:47:49 time: 0.3227 data_time: 0.0091 loss: 2.3720 03/10 22:41:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:41:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:41:45 - mmengine - INFO - Saving checkpoint at 135 epochs 03/10 22:42:09 - mmengine - INFO - Epoch(val) [135][49/49] accuracy/top1: 56.1880 accuracy/top5: 79.9060 03/10 22:42:46 - mmengine - INFO - Epoch(train) [136][ 100/1252] lr: 1.0227e-02 eta: 2 days, 7:47:10 time: 0.3131 data_time: 0.0323 loss: 2.2515 03/10 22:43:20 - mmengine - INFO - Epoch(train) [136][ 200/1252] lr: 1.0227e-02 eta: 2 days, 7:46:35 time: 0.3642 data_time: 0.2217 loss: 2.2630 03/10 22:43:55 - mmengine - INFO - Epoch(train) [136][ 300/1252] lr: 1.0227e-02 eta: 2 days, 7:45:58 time: 0.3566 data_time: 0.2357 loss: 2.1921 03/10 22:44:29 - mmengine - INFO - Epoch(train) [136][ 400/1252] lr: 1.0227e-02 eta: 2 days, 7:45:19 time: 0.3074 data_time: 0.1619 loss: 2.2049 03/10 22:45:03 - mmengine - INFO - Epoch(train) [136][ 500/1252] lr: 1.0227e-02 eta: 2 days, 7:44:46 time: 0.3498 data_time: 0.2273 loss: 2.3103 03/10 22:45:37 - mmengine - INFO - Epoch(train) [136][ 600/1252] lr: 1.0227e-02 eta: 2 days, 7:44:03 time: 0.3491 data_time: 0.2140 loss: 2.2817 03/10 22:46:11 - mmengine - INFO - Epoch(train) [136][ 700/1252] lr: 1.0227e-02 eta: 2 days, 7:43:27 time: 0.3381 data_time: 0.0642 loss: 2.3422 03/10 22:46:46 - mmengine - INFO - Epoch(train) [136][ 800/1252] lr: 1.0227e-02 eta: 2 days, 7:42:55 time: 0.3932 data_time: 0.0353 loss: 2.2628 03/10 22:47:20 - mmengine - INFO - Epoch(train) [136][ 900/1252] lr: 1.0227e-02 eta: 2 days, 7:42:16 time: 0.3589 data_time: 0.0031 loss: 2.2666 03/10 22:47:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:47:55 - mmengine - INFO - Epoch(train) [136][1000/1252] lr: 1.0227e-02 eta: 2 days, 7:41:42 time: 0.3681 data_time: 0.1511 loss: 2.2608 03/10 22:48:28 - mmengine - INFO - Epoch(train) [136][1100/1252] lr: 1.0227e-02 eta: 2 days, 7:41:02 time: 0.3574 data_time: 0.2017 loss: 2.2307 03/10 22:49:03 - mmengine - INFO - Epoch(train) [136][1200/1252] lr: 1.0227e-02 eta: 2 days, 7:40:26 time: 0.4276 data_time: 0.2129 loss: 2.1744 03/10 22:49:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:49:19 - mmengine - INFO - Saving checkpoint at 136 epochs 03/10 22:49:43 - mmengine - INFO - Epoch(val) [136][49/49] accuracy/top1: 52.5400 accuracy/top5: 76.8320 03/10 22:50:21 - mmengine - INFO - Epoch(train) [137][ 100/1252] lr: 9.9507e-03 eta: 2 days, 7:39:44 time: 0.4086 data_time: 0.0026 loss: 2.0969 03/10 22:50:56 - mmengine - INFO - Epoch(train) [137][ 200/1252] lr: 9.9507e-03 eta: 2 days, 7:39:09 time: 0.3908 data_time: 0.1523 loss: 2.2117 03/10 22:51:29 - mmengine - INFO - Epoch(train) [137][ 300/1252] lr: 9.9507e-03 eta: 2 days, 7:38:26 time: 0.3511 data_time: 0.0980 loss: 2.2975 03/10 22:52:04 - mmengine - INFO - Epoch(train) [137][ 400/1252] lr: 9.9507e-03 eta: 2 days, 7:37:53 time: 0.3657 data_time: 0.2244 loss: 2.1998 03/10 22:52:38 - mmengine - INFO - Epoch(train) [137][ 500/1252] lr: 9.9507e-03 eta: 2 days, 7:37:15 time: 0.3430 data_time: 0.0033 loss: 2.2351 03/10 22:53:12 - mmengine - INFO - Epoch(train) [137][ 600/1252] lr: 9.9507e-03 eta: 2 days, 7:36:36 time: 0.3245 data_time: 0.0753 loss: 2.1593 03/10 22:53:46 - mmengine - INFO - Epoch(train) [137][ 700/1252] lr: 9.9507e-03 eta: 2 days, 7:35:59 time: 0.3065 data_time: 0.0279 loss: 2.2469 03/10 22:53:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:54:21 - mmengine - INFO - Epoch(train) [137][ 800/1252] lr: 9.9507e-03 eta: 2 days, 7:35:27 time: 0.3165 data_time: 0.1435 loss: 2.2244 03/10 22:54:55 - mmengine - INFO - Epoch(train) [137][ 900/1252] lr: 9.9507e-03 eta: 2 days, 7:34:50 time: 0.2829 data_time: 0.1292 loss: 2.3718 03/10 22:55:29 - mmengine - INFO - Epoch(train) [137][1000/1252] lr: 9.9507e-03 eta: 2 days, 7:34:14 time: 0.3762 data_time: 0.2526 loss: 2.2532 03/10 22:56:03 - mmengine - INFO - Epoch(train) [137][1100/1252] lr: 9.9507e-03 eta: 2 days, 7:33:36 time: 0.3181 data_time: 0.0945 loss: 2.2211 03/10 22:56:38 - mmengine - INFO - Epoch(train) [137][1200/1252] lr: 9.9507e-03 eta: 2 days, 7:32:58 time: 0.3158 data_time: 0.0029 loss: 2.2736 03/10 22:56:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 22:56:55 - mmengine - INFO - Saving checkpoint at 137 epochs 03/10 22:57:19 - mmengine - INFO - Epoch(val) [137][49/49] accuracy/top1: 55.8060 accuracy/top5: 79.3740 03/10 22:57:55 - mmengine - INFO - Epoch(train) [138][ 100/1252] lr: 9.9507e-03 eta: 2 days, 7:32:13 time: 0.3153 data_time: 0.1775 loss: 2.1693 03/10 22:58:29 - mmengine - INFO - Epoch(train) [138][ 200/1252] lr: 9.9507e-03 eta: 2 days, 7:31:35 time: 0.3437 data_time: 0.0548 loss: 2.2380 03/10 22:59:04 - mmengine - INFO - Epoch(train) [138][ 300/1252] lr: 9.9507e-03 eta: 2 days, 7:31:02 time: 0.3541 data_time: 0.0422 loss: 2.2490 03/10 22:59:38 - mmengine - INFO - Epoch(train) [138][ 400/1252] lr: 9.9507e-03 eta: 2 days, 7:30:22 time: 0.3082 data_time: 0.0331 loss: 2.1488 03/10 23:00:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:00:13 - mmengine - INFO - Epoch(train) [138][ 500/1252] lr: 9.9507e-03 eta: 2 days, 7:29:49 time: 0.3855 data_time: 0.0526 loss: 2.2957 03/10 23:00:47 - mmengine - INFO - Epoch(train) [138][ 600/1252] lr: 9.9507e-03 eta: 2 days, 7:29:12 time: 0.3468 data_time: 0.0461 loss: 2.2736 03/10 23:01:21 - mmengine - INFO - Epoch(train) [138][ 700/1252] lr: 9.9507e-03 eta: 2 days, 7:28:33 time: 0.3341 data_time: 0.0574 loss: 2.3777 03/10 23:01:55 - mmengine - INFO - Epoch(train) [138][ 800/1252] lr: 9.9507e-03 eta: 2 days, 7:27:56 time: 0.3579 data_time: 0.0029 loss: 2.2480 03/10 23:02:29 - mmengine - INFO - Epoch(train) [138][ 900/1252] lr: 9.9507e-03 eta: 2 days, 7:27:19 time: 0.2948 data_time: 0.0028 loss: 2.2232 03/10 23:03:03 - mmengine - INFO - Epoch(train) [138][1000/1252] lr: 9.9507e-03 eta: 2 days, 7:26:42 time: 0.3291 data_time: 0.1033 loss: 2.3732 03/10 23:03:38 - mmengine - INFO - Epoch(train) [138][1100/1252] lr: 9.9507e-03 eta: 2 days, 7:26:07 time: 0.3675 data_time: 0.1366 loss: 2.2189 03/10 23:04:12 - mmengine - INFO - Epoch(train) [138][1200/1252] lr: 9.9507e-03 eta: 2 days, 7:25:29 time: 0.3470 data_time: 0.0304 loss: 2.2589 03/10 23:04:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:04:30 - mmengine - INFO - Saving checkpoint at 138 epochs 03/10 23:04:56 - mmengine - INFO - Epoch(val) [138][49/49] accuracy/top1: 51.4500 accuracy/top5: 75.8200 03/10 23:05:33 - mmengine - INFO - Epoch(train) [139][ 100/1252] lr: 9.6820e-03 eta: 2 days, 7:24:55 time: 0.3270 data_time: 0.2030 loss: 2.2568 03/10 23:06:08 - mmengine - INFO - Epoch(train) [139][ 200/1252] lr: 9.6820e-03 eta: 2 days, 7:24:20 time: 0.3950 data_time: 0.2531 loss: 2.1846 03/10 23:06:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:06:41 - mmengine - INFO - Epoch(train) [139][ 300/1252] lr: 9.6820e-03 eta: 2 days, 7:23:39 time: 0.3184 data_time: 0.1812 loss: 2.2023 03/10 23:07:15 - mmengine - INFO - Epoch(train) [139][ 400/1252] lr: 9.6820e-03 eta: 2 days, 7:22:59 time: 0.2996 data_time: 0.1699 loss: 2.1987 03/10 23:07:49 - mmengine - INFO - Epoch(train) [139][ 500/1252] lr: 9.6820e-03 eta: 2 days, 7:22:23 time: 0.3292 data_time: 0.1066 loss: 2.2010 03/10 23:08:24 - mmengine - INFO - Epoch(train) [139][ 600/1252] lr: 9.6820e-03 eta: 2 days, 7:21:50 time: 0.4074 data_time: 0.2238 loss: 2.1915 03/10 23:08:58 - mmengine - INFO - Epoch(train) [139][ 700/1252] lr: 9.6820e-03 eta: 2 days, 7:21:13 time: 0.3394 data_time: 0.0459 loss: 2.2949 03/10 23:09:33 - mmengine - INFO - Epoch(train) [139][ 800/1252] lr: 9.6820e-03 eta: 2 days, 7:20:38 time: 0.3168 data_time: 0.1042 loss: 2.4106 03/10 23:10:08 - mmengine - INFO - Epoch(train) [139][ 900/1252] lr: 9.6820e-03 eta: 2 days, 7:20:05 time: 0.3622 data_time: 0.2121 loss: 2.2308 03/10 23:10:41 - mmengine - INFO - Epoch(train) [139][1000/1252] lr: 9.6820e-03 eta: 2 days, 7:19:23 time: 0.2993 data_time: 0.0280 loss: 2.3652 03/10 23:11:15 - mmengine - INFO - Epoch(train) [139][1100/1252] lr: 9.6820e-03 eta: 2 days, 7:18:45 time: 0.3329 data_time: 0.1161 loss: 2.1469 03/10 23:11:50 - mmengine - INFO - Epoch(train) [139][1200/1252] lr: 9.6820e-03 eta: 2 days, 7:18:11 time: 0.2996 data_time: 0.0033 loss: 2.3050 03/10 23:11:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:12:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:12:07 - mmengine - INFO - Saving checkpoint at 139 epochs 03/10 23:12:31 - mmengine - INFO - Epoch(val) [139][49/49] accuracy/top1: 51.0520 accuracy/top5: 75.2240 03/10 23:13:08 - mmengine - INFO - Epoch(train) [140][ 100/1252] lr: 9.6820e-03 eta: 2 days, 7:17:24 time: 0.3229 data_time: 0.0032 loss: 2.2162 03/10 23:13:42 - mmengine - INFO - Epoch(train) [140][ 200/1252] lr: 9.6820e-03 eta: 2 days, 7:16:50 time: 0.3929 data_time: 0.2500 loss: 2.1947 03/10 23:14:17 - mmengine - INFO - Epoch(train) [140][ 300/1252] lr: 9.6820e-03 eta: 2 days, 7:16:14 time: 0.2745 data_time: 0.1539 loss: 2.2878 03/10 23:14:51 - mmengine - INFO - Epoch(train) [140][ 400/1252] lr: 9.6820e-03 eta: 2 days, 7:15:36 time: 0.3692 data_time: 0.0032 loss: 2.1732 03/10 23:15:24 - mmengine - INFO - Epoch(train) [140][ 500/1252] lr: 9.6820e-03 eta: 2 days, 7:14:55 time: 0.3369 data_time: 0.0078 loss: 2.3040 03/10 23:15:59 - mmengine - INFO - Epoch(train) [140][ 600/1252] lr: 9.6820e-03 eta: 2 days, 7:14:20 time: 0.3428 data_time: 0.1874 loss: 2.3099 03/10 23:16:33 - mmengine - INFO - Epoch(train) [140][ 700/1252] lr: 9.6820e-03 eta: 2 days, 7:13:43 time: 0.3323 data_time: 0.0733 loss: 2.3074 03/10 23:17:08 - mmengine - INFO - Epoch(train) [140][ 800/1252] lr: 9.6820e-03 eta: 2 days, 7:13:09 time: 0.3234 data_time: 0.1626 loss: 2.2660 03/10 23:17:42 - mmengine - INFO - Epoch(train) [140][ 900/1252] lr: 9.6820e-03 eta: 2 days, 7:12:35 time: 0.3318 data_time: 0.0027 loss: 2.3396 03/10 23:18:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:18:16 - mmengine - INFO - Epoch(train) [140][1000/1252] lr: 9.6820e-03 eta: 2 days, 7:11:53 time: 0.3092 data_time: 0.1651 loss: 2.2166 03/10 23:18:50 - mmengine - INFO - Epoch(train) [140][1100/1252] lr: 9.6820e-03 eta: 2 days, 7:11:20 time: 0.3307 data_time: 0.0448 loss: 2.1387 03/10 23:19:24 - mmengine - INFO - Epoch(train) [140][1200/1252] lr: 9.6820e-03 eta: 2 days, 7:10:37 time: 0.3135 data_time: 0.0347 loss: 2.1756 03/10 23:19:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:19:42 - mmengine - INFO - Saving checkpoint at 140 epochs 03/10 23:20:06 - mmengine - INFO - Epoch(val) [140][49/49] accuracy/top1: 53.2240 accuracy/top5: 77.4880 03/10 23:20:43 - mmengine - INFO - Epoch(train) [141][ 100/1252] lr: 9.4206e-03 eta: 2 days, 7:09:55 time: 0.3874 data_time: 0.1590 loss: 2.3988 03/10 23:21:17 - mmengine - INFO - Epoch(train) [141][ 200/1252] lr: 9.4206e-03 eta: 2 days, 7:09:19 time: 0.3323 data_time: 0.0034 loss: 2.1079 03/10 23:21:52 - mmengine - INFO - Epoch(train) [141][ 300/1252] lr: 9.4206e-03 eta: 2 days, 7:08:43 time: 0.3786 data_time: 0.0031 loss: 2.2570 03/10 23:22:26 - mmengine - INFO - Epoch(train) [141][ 400/1252] lr: 9.4206e-03 eta: 2 days, 7:08:04 time: 0.3187 data_time: 0.0028 loss: 2.2337 03/10 23:23:00 - mmengine - INFO - Epoch(train) [141][ 500/1252] lr: 9.4206e-03 eta: 2 days, 7:07:28 time: 0.3498 data_time: 0.0025 loss: 2.3309 03/10 23:23:34 - mmengine - INFO - Epoch(train) [141][ 600/1252] lr: 9.4206e-03 eta: 2 days, 7:06:52 time: 0.3387 data_time: 0.0031 loss: 2.2051 03/10 23:24:08 - mmengine - INFO - Epoch(train) [141][ 700/1252] lr: 9.4206e-03 eta: 2 days, 7:06:11 time: 0.3671 data_time: 0.0031 loss: 2.3181 03/10 23:24:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:24:42 - mmengine - INFO - Epoch(train) [141][ 800/1252] lr: 9.4206e-03 eta: 2 days, 7:05:34 time: 0.3753 data_time: 0.0028 loss: 2.0901 03/10 23:25:15 - mmengine - INFO - Epoch(train) [141][ 900/1252] lr: 9.4206e-03 eta: 2 days, 7:04:53 time: 0.2925 data_time: 0.0994 loss: 2.2373 03/10 23:25:50 - mmengine - INFO - Epoch(train) [141][1000/1252] lr: 9.4206e-03 eta: 2 days, 7:04:19 time: 0.3392 data_time: 0.0031 loss: 2.2943 03/10 23:26:24 - mmengine - INFO - Epoch(train) [141][1100/1252] lr: 9.4206e-03 eta: 2 days, 7:03:41 time: 0.3033 data_time: 0.0866 loss: 2.3452 03/10 23:26:58 - mmengine - INFO - Epoch(train) [141][1200/1252] lr: 9.4206e-03 eta: 2 days, 7:03:05 time: 0.2945 data_time: 0.1693 loss: 2.3284 03/10 23:27:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:27:16 - mmengine - INFO - Saving checkpoint at 141 epochs 03/10 23:27:42 - mmengine - INFO - Epoch(val) [141][49/49] accuracy/top1: 56.8260 accuracy/top5: 80.0620 03/10 23:28:19 - mmengine - INFO - Epoch(train) [142][ 100/1252] lr: 9.4206e-03 eta: 2 days, 7:02:21 time: 0.3375 data_time: 0.0267 loss: 2.2324 03/10 23:28:53 - mmengine - INFO - Epoch(train) [142][ 200/1252] lr: 9.4206e-03 eta: 2 days, 7:01:42 time: 0.3264 data_time: 0.0031 loss: 2.2624 03/10 23:29:27 - mmengine - INFO - Epoch(train) [142][ 300/1252] lr: 9.4206e-03 eta: 2 days, 7:01:06 time: 0.3460 data_time: 0.0033 loss: 2.1851 03/10 23:30:02 - mmengine - INFO - Epoch(train) [142][ 400/1252] lr: 9.4206e-03 eta: 2 days, 7:00:35 time: 0.3803 data_time: 0.0024 loss: 2.1781 03/10 23:30:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:30:36 - mmengine - INFO - Epoch(train) [142][ 500/1252] lr: 9.4206e-03 eta: 2 days, 6:59:59 time: 0.3586 data_time: 0.1638 loss: 2.2833 03/10 23:31:10 - mmengine - INFO - Epoch(train) [142][ 600/1252] lr: 9.4206e-03 eta: 2 days, 6:59:21 time: 0.3162 data_time: 0.0033 loss: 2.3469 03/10 23:31:45 - mmengine - INFO - Epoch(train) [142][ 700/1252] lr: 9.4206e-03 eta: 2 days, 6:58:45 time: 0.3861 data_time: 0.0368 loss: 2.2196 03/10 23:32:19 - mmengine - INFO - Epoch(train) [142][ 800/1252] lr: 9.4206e-03 eta: 2 days, 6:58:11 time: 0.3669 data_time: 0.0165 loss: 2.2563 03/10 23:32:52 - mmengine - INFO - Epoch(train) [142][ 900/1252] lr: 9.4206e-03 eta: 2 days, 6:57:27 time: 0.3321 data_time: 0.0671 loss: 2.2146 03/10 23:33:27 - mmengine - INFO - Epoch(train) [142][1000/1252] lr: 9.4206e-03 eta: 2 days, 6:56:55 time: 0.3479 data_time: 0.0026 loss: 2.4479 03/10 23:34:02 - mmengine - INFO - Epoch(train) [142][1100/1252] lr: 9.4206e-03 eta: 2 days, 6:56:19 time: 0.3455 data_time: 0.0030 loss: 2.2994 03/10 23:34:36 - mmengine - INFO - Epoch(train) [142][1200/1252] lr: 9.4206e-03 eta: 2 days, 6:55:44 time: 0.3308 data_time: 0.2117 loss: 2.2721 03/10 23:34:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:34:53 - mmengine - INFO - Saving checkpoint at 142 epochs 03/10 23:35:20 - mmengine - INFO - Epoch(val) [142][49/49] accuracy/top1: 55.0400 accuracy/top5: 78.5480 03/10 23:35:57 - mmengine - INFO - Epoch(train) [143][ 100/1252] lr: 9.1662e-03 eta: 2 days, 6:54:55 time: 0.3953 data_time: 0.0088 loss: 2.1496 03/10 23:36:31 - mmengine - INFO - Epoch(train) [143][ 200/1252] lr: 9.1662e-03 eta: 2 days, 6:54:17 time: 0.3083 data_time: 0.1361 loss: 2.2936 03/10 23:36:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:37:05 - mmengine - INFO - Epoch(train) [143][ 300/1252] lr: 9.1662e-03 eta: 2 days, 6:53:42 time: 0.3324 data_time: 0.0034 loss: 2.1418 03/10 23:37:40 - mmengine - INFO - Epoch(train) [143][ 400/1252] lr: 9.1662e-03 eta: 2 days, 6:53:08 time: 0.3124 data_time: 0.1879 loss: 2.2232 03/10 23:38:14 - mmengine - INFO - Epoch(train) [143][ 500/1252] lr: 9.1662e-03 eta: 2 days, 6:52:31 time: 0.3123 data_time: 0.0556 loss: 2.2871 03/10 23:38:48 - mmengine - INFO - Epoch(train) [143][ 600/1252] lr: 9.1662e-03 eta: 2 days, 6:51:53 time: 0.3192 data_time: 0.0301 loss: 2.1919 03/10 23:39:23 - mmengine - INFO - Epoch(train) [143][ 700/1252] lr: 9.1662e-03 eta: 2 days, 6:51:19 time: 0.2970 data_time: 0.1505 loss: 2.2217 03/10 23:39:57 - mmengine - INFO - Epoch(train) [143][ 800/1252] lr: 9.1662e-03 eta: 2 days, 6:50:40 time: 0.3071 data_time: 0.0480 loss: 2.2803 03/10 23:40:31 - mmengine - INFO - Epoch(train) [143][ 900/1252] lr: 9.1662e-03 eta: 2 days, 6:50:06 time: 0.3740 data_time: 0.0338 loss: 2.2639 03/10 23:41:04 - mmengine - INFO - Epoch(train) [143][1000/1252] lr: 9.1662e-03 eta: 2 days, 6:49:23 time: 0.3158 data_time: 0.0032 loss: 2.2073 03/10 23:41:39 - mmengine - INFO - Epoch(train) [143][1100/1252] lr: 9.1662e-03 eta: 2 days, 6:48:48 time: 0.3550 data_time: 0.2261 loss: 2.2580 03/10 23:42:13 - mmengine - INFO - Epoch(train) [143][1200/1252] lr: 9.1662e-03 eta: 2 days, 6:48:12 time: 0.3723 data_time: 0.1790 loss: 2.2511 03/10 23:42:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:42:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:42:30 - mmengine - INFO - Saving checkpoint at 143 epochs 03/10 23:42:54 - mmengine - INFO - Epoch(val) [143][49/49] accuracy/top1: 56.5320 accuracy/top5: 79.9840 03/10 23:43:31 - mmengine - INFO - Epoch(train) [144][ 100/1252] lr: 9.1662e-03 eta: 2 days, 6:47:25 time: 0.3082 data_time: 0.0033 loss: 2.1687 03/10 23:44:05 - mmengine - INFO - Epoch(train) [144][ 200/1252] lr: 9.1662e-03 eta: 2 days, 6:46:46 time: 0.3228 data_time: 0.1857 loss: 2.1816 03/10 23:44:39 - mmengine - INFO - Epoch(train) [144][ 300/1252] lr: 9.1662e-03 eta: 2 days, 6:46:11 time: 0.3076 data_time: 0.1140 loss: 2.1845 03/10 23:45:13 - mmengine - INFO - Epoch(train) [144][ 400/1252] lr: 9.1662e-03 eta: 2 days, 6:45:31 time: 0.3524 data_time: 0.0026 loss: 2.1462 03/10 23:45:48 - mmengine - INFO - Epoch(train) [144][ 500/1252] lr: 9.1662e-03 eta: 2 days, 6:44:58 time: 0.4120 data_time: 0.0028 loss: 2.2065 03/10 23:46:21 - mmengine - INFO - Epoch(train) [144][ 600/1252] lr: 9.1662e-03 eta: 2 days, 6:44:16 time: 0.3271 data_time: 0.1165 loss: 2.2307 03/10 23:46:56 - mmengine - INFO - Epoch(train) [144][ 700/1252] lr: 9.1662e-03 eta: 2 days, 6:43:42 time: 0.3200 data_time: 0.1674 loss: 2.2076 03/10 23:47:30 - mmengine - INFO - Epoch(train) [144][ 800/1252] lr: 9.1662e-03 eta: 2 days, 6:43:06 time: 0.3002 data_time: 0.0432 loss: 2.2533 03/10 23:48:05 - mmengine - INFO - Epoch(train) [144][ 900/1252] lr: 9.1662e-03 eta: 2 days, 6:42:33 time: 0.3105 data_time: 0.0028 loss: 2.3502 03/10 23:48:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:48:39 - mmengine - INFO - Epoch(train) [144][1000/1252] lr: 9.1662e-03 eta: 2 days, 6:41:56 time: 0.3498 data_time: 0.0366 loss: 2.2665 03/10 23:49:13 - mmengine - INFO - Epoch(train) [144][1100/1252] lr: 9.1662e-03 eta: 2 days, 6:41:16 time: 0.3450 data_time: 0.0039 loss: 2.3011 03/10 23:49:47 - mmengine - INFO - Epoch(train) [144][1200/1252] lr: 9.1662e-03 eta: 2 days, 6:40:41 time: 0.3443 data_time: 0.2208 loss: 2.1690 03/10 23:50:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:50:04 - mmengine - INFO - Saving checkpoint at 144 epochs 03/10 23:50:28 - mmengine - INFO - Epoch(val) [144][49/49] accuracy/top1: 54.6660 accuracy/top5: 78.5460 03/10 23:51:05 - mmengine - INFO - Epoch(train) [145][ 100/1252] lr: 8.9188e-03 eta: 2 days, 6:39:54 time: 0.3357 data_time: 0.0787 loss: 2.2993 03/10 23:51:39 - mmengine - INFO - Epoch(train) [145][ 200/1252] lr: 8.9188e-03 eta: 2 days, 6:39:16 time: 0.3420 data_time: 0.2000 loss: 2.3298 03/10 23:52:13 - mmengine - INFO - Epoch(train) [145][ 300/1252] lr: 8.9188e-03 eta: 2 days, 6:38:39 time: 0.3444 data_time: 0.0119 loss: 2.2184 03/10 23:52:47 - mmengine - INFO - Epoch(train) [145][ 400/1252] lr: 8.9188e-03 eta: 2 days, 6:38:02 time: 0.3414 data_time: 0.0733 loss: 2.1677 03/10 23:53:22 - mmengine - INFO - Epoch(train) [145][ 500/1252] lr: 8.9188e-03 eta: 2 days, 6:37:28 time: 0.3741 data_time: 0.0029 loss: 2.1364 03/10 23:53:56 - mmengine - INFO - Epoch(train) [145][ 600/1252] lr: 8.9188e-03 eta: 2 days, 6:36:52 time: 0.3592 data_time: 0.0122 loss: 2.2379 03/10 23:54:30 - mmengine - INFO - Epoch(train) [145][ 700/1252] lr: 8.9188e-03 eta: 2 days, 6:36:12 time: 0.2834 data_time: 0.0910 loss: 2.2151 03/10 23:54:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:55:04 - mmengine - INFO - Epoch(train) [145][ 800/1252] lr: 8.9188e-03 eta: 2 days, 6:35:36 time: 0.3323 data_time: 0.0033 loss: 2.2170 03/10 23:55:38 - mmengine - INFO - Epoch(train) [145][ 900/1252] lr: 8.9188e-03 eta: 2 days, 6:34:59 time: 0.3364 data_time: 0.1840 loss: 2.3260 03/10 23:56:12 - mmengine - INFO - Epoch(train) [145][1000/1252] lr: 8.9188e-03 eta: 2 days, 6:34:19 time: 0.3202 data_time: 0.1133 loss: 2.3068 03/10 23:56:48 - mmengine - INFO - Epoch(train) [145][1100/1252] lr: 8.9188e-03 eta: 2 days, 6:33:51 time: 0.3837 data_time: 0.0650 loss: 2.2743 03/10 23:57:21 - mmengine - INFO - Epoch(train) [145][1200/1252] lr: 8.9188e-03 eta: 2 days, 6:33:10 time: 0.3455 data_time: 0.0027 loss: 2.1538 03/10 23:57:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/10 23:57:39 - mmengine - INFO - Saving checkpoint at 145 epochs 03/10 23:58:04 - mmengine - INFO - Epoch(val) [145][49/49] accuracy/top1: 58.1420 accuracy/top5: 81.0360 03/10 23:58:41 - mmengine - INFO - Epoch(train) [146][ 100/1252] lr: 8.9188e-03 eta: 2 days, 6:32:32 time: 0.3706 data_time: 0.0891 loss: 2.1957 03/10 23:59:15 - mmengine - INFO - Epoch(train) [146][ 200/1252] lr: 8.9188e-03 eta: 2 days, 6:31:52 time: 0.3775 data_time: 0.1006 loss: 2.2166 03/10 23:59:49 - mmengine - INFO - Epoch(train) [146][ 300/1252] lr: 8.9188e-03 eta: 2 days, 6:31:16 time: 0.3509 data_time: 0.0030 loss: 2.1715 03/11 00:00:23 - mmengine - INFO - Epoch(train) [146][ 400/1252] lr: 8.9188e-03 eta: 2 days, 6:30:39 time: 0.3889 data_time: 0.0729 loss: 2.0586 03/11 00:00:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:00:58 - mmengine - INFO - Epoch(train) [146][ 500/1252] lr: 8.9188e-03 eta: 2 days, 6:30:03 time: 0.3898 data_time: 0.2681 loss: 2.1768 03/11 00:01:31 - mmengine - INFO - Epoch(train) [146][ 600/1252] lr: 8.9188e-03 eta: 2 days, 6:29:22 time: 0.2980 data_time: 0.1298 loss: 2.1404 03/11 00:02:05 - mmengine - INFO - Epoch(train) [146][ 700/1252] lr: 8.9188e-03 eta: 2 days, 6:28:48 time: 0.3503 data_time: 0.0029 loss: 2.2813 03/11 00:02:40 - mmengine - INFO - Epoch(train) [146][ 800/1252] lr: 8.9188e-03 eta: 2 days, 6:28:13 time: 0.3663 data_time: 0.0482 loss: 2.2002 03/11 00:03:14 - mmengine - INFO - Epoch(train) [146][ 900/1252] lr: 8.9188e-03 eta: 2 days, 6:27:35 time: 0.3480 data_time: 0.0571 loss: 2.2297 03/11 00:03:49 - mmengine - INFO - Epoch(train) [146][1000/1252] lr: 8.9188e-03 eta: 2 days, 6:27:02 time: 0.3292 data_time: 0.2089 loss: 2.3400 03/11 00:04:23 - mmengine - INFO - Epoch(train) [146][1100/1252] lr: 8.9188e-03 eta: 2 days, 6:26:25 time: 0.3388 data_time: 0.0026 loss: 2.1597 03/11 00:04:57 - mmengine - INFO - Epoch(train) [146][1200/1252] lr: 8.9188e-03 eta: 2 days, 6:25:46 time: 0.3348 data_time: 0.0032 loss: 2.2292 03/11 00:05:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:05:14 - mmengine - INFO - Saving checkpoint at 146 epochs 03/11 00:05:40 - mmengine - INFO - Epoch(val) [146][49/49] accuracy/top1: 54.3060 accuracy/top5: 78.3760 03/11 00:06:17 - mmengine - INFO - Epoch(train) [147][ 100/1252] lr: 8.6780e-03 eta: 2 days, 6:25:03 time: 0.3183 data_time: 0.1034 loss: 2.0809 03/11 00:06:51 - mmengine - INFO - Epoch(train) [147][ 200/1252] lr: 8.6780e-03 eta: 2 days, 6:24:25 time: 0.2819 data_time: 0.0028 loss: 2.2214 03/11 00:06:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:07:26 - mmengine - INFO - Epoch(train) [147][ 300/1252] lr: 8.6780e-03 eta: 2 days, 6:23:50 time: 0.3472 data_time: 0.2311 loss: 2.2565 03/11 00:07:59 - mmengine - INFO - Epoch(train) [147][ 400/1252] lr: 8.6780e-03 eta: 2 days, 6:23:11 time: 0.3249 data_time: 0.1878 loss: 2.2981 03/11 00:08:34 - mmengine - INFO - Epoch(train) [147][ 500/1252] lr: 8.6780e-03 eta: 2 days, 6:22:35 time: 0.3342 data_time: 0.1517 loss: 2.2139 03/11 00:09:08 - mmengine - INFO - Epoch(train) [147][ 600/1252] lr: 8.6780e-03 eta: 2 days, 6:22:03 time: 0.3603 data_time: 0.0773 loss: 2.2820 03/11 00:09:42 - mmengine - INFO - Epoch(train) [147][ 700/1252] lr: 8.6780e-03 eta: 2 days, 6:21:23 time: 0.2991 data_time: 0.0242 loss: 2.1931 03/11 00:10:17 - mmengine - INFO - Epoch(train) [147][ 800/1252] lr: 8.6780e-03 eta: 2 days, 6:20:53 time: 0.3895 data_time: 0.1920 loss: 2.0883 03/11 00:10:51 - mmengine - INFO - Epoch(train) [147][ 900/1252] lr: 8.6780e-03 eta: 2 days, 6:20:15 time: 0.3398 data_time: 0.1009 loss: 2.1189 03/11 00:11:26 - mmengine - INFO - Epoch(train) [147][1000/1252] lr: 8.6780e-03 eta: 2 days, 6:19:44 time: 0.3611 data_time: 0.0031 loss: 2.1760 03/11 00:12:00 - mmengine - INFO - Epoch(train) [147][1100/1252] lr: 8.6780e-03 eta: 2 days, 6:19:06 time: 0.3260 data_time: 0.1320 loss: 2.2302 03/11 00:12:34 - mmengine - INFO - Epoch(train) [147][1200/1252] lr: 8.6780e-03 eta: 2 days, 6:18:25 time: 0.3605 data_time: 0.0210 loss: 2.3097 03/11 00:12:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:12:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:12:51 - mmengine - INFO - Saving checkpoint at 147 epochs 03/11 00:13:16 - mmengine - INFO - Epoch(val) [147][49/49] accuracy/top1: 49.0740 accuracy/top5: 73.6300 03/11 00:13:54 - mmengine - INFO - Epoch(train) [148][ 100/1252] lr: 8.6780e-03 eta: 2 days, 6:17:44 time: 0.3227 data_time: 0.0085 loss: 2.2001 03/11 00:14:27 - mmengine - INFO - Epoch(train) [148][ 200/1252] lr: 8.6780e-03 eta: 2 days, 6:17:05 time: 0.3205 data_time: 0.1699 loss: 2.1595 03/11 00:15:02 - mmengine - INFO - Epoch(train) [148][ 300/1252] lr: 8.6780e-03 eta: 2 days, 6:16:31 time: 0.4010 data_time: 0.1906 loss: 2.2013 03/11 00:15:37 - mmengine - INFO - Epoch(train) [148][ 400/1252] lr: 8.6780e-03 eta: 2 days, 6:15:58 time: 0.3488 data_time: 0.0030 loss: 2.2151 03/11 00:16:10 - mmengine - INFO - Epoch(train) [148][ 500/1252] lr: 8.6780e-03 eta: 2 days, 6:15:16 time: 0.2934 data_time: 0.0784 loss: 2.1728 03/11 00:16:44 - mmengine - INFO - Epoch(train) [148][ 600/1252] lr: 8.6780e-03 eta: 2 days, 6:14:40 time: 0.2933 data_time: 0.0158 loss: 2.2481 03/11 00:17:19 - mmengine - INFO - Epoch(train) [148][ 700/1252] lr: 8.6780e-03 eta: 2 days, 6:14:04 time: 0.3110 data_time: 0.0564 loss: 2.2818 03/11 00:17:53 - mmengine - INFO - Epoch(train) [148][ 800/1252] lr: 8.6780e-03 eta: 2 days, 6:13:28 time: 0.3647 data_time: 0.2084 loss: 2.2108 03/11 00:18:27 - mmengine - INFO - Epoch(train) [148][ 900/1252] lr: 8.6780e-03 eta: 2 days, 6:12:53 time: 0.3091 data_time: 0.0027 loss: 2.2104 03/11 00:18:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:19:02 - mmengine - INFO - Epoch(train) [148][1000/1252] lr: 8.6780e-03 eta: 2 days, 6:12:19 time: 0.3092 data_time: 0.0329 loss: 2.2441 03/11 00:19:36 - mmengine - INFO - Epoch(train) [148][1100/1252] lr: 8.6780e-03 eta: 2 days, 6:11:40 time: 0.3554 data_time: 0.1303 loss: 2.2192 03/11 00:20:10 - mmengine - INFO - Epoch(train) [148][1200/1252] lr: 8.6780e-03 eta: 2 days, 6:11:05 time: 0.3699 data_time: 0.2536 loss: 2.2842 03/11 00:20:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:20:28 - mmengine - INFO - Saving checkpoint at 148 epochs 03/11 00:20:53 - mmengine - INFO - Epoch(val) [148][49/49] accuracy/top1: 56.1860 accuracy/top5: 79.5620 03/11 00:21:30 - mmengine - INFO - Epoch(train) [149][ 100/1252] lr: 8.4436e-03 eta: 2 days, 6:10:19 time: 0.3195 data_time: 0.1060 loss: 2.1490 03/11 00:22:04 - mmengine - INFO - Epoch(train) [149][ 200/1252] lr: 8.4436e-03 eta: 2 days, 6:09:45 time: 0.3810 data_time: 0.0270 loss: 2.1847 03/11 00:22:38 - mmengine - INFO - Epoch(train) [149][ 300/1252] lr: 8.4436e-03 eta: 2 days, 6:09:05 time: 0.3265 data_time: 0.1820 loss: 2.1486 03/11 00:23:12 - mmengine - INFO - Epoch(train) [149][ 400/1252] lr: 8.4436e-03 eta: 2 days, 6:08:30 time: 0.2682 data_time: 0.1387 loss: 2.1961 03/11 00:23:47 - mmengine - INFO - Epoch(train) [149][ 500/1252] lr: 8.4436e-03 eta: 2 days, 6:07:55 time: 0.3049 data_time: 0.0029 loss: 2.1764 03/11 00:24:21 - mmengine - INFO - Epoch(train) [149][ 600/1252] lr: 8.4436e-03 eta: 2 days, 6:07:17 time: 0.3502 data_time: 0.2304 loss: 2.2144 03/11 00:24:55 - mmengine - INFO - Epoch(train) [149][ 700/1252] lr: 8.4436e-03 eta: 2 days, 6:06:43 time: 0.3737 data_time: 0.2396 loss: 2.1936 03/11 00:24:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:25:30 - mmengine - INFO - Epoch(train) [149][ 800/1252] lr: 8.4436e-03 eta: 2 days, 6:06:07 time: 0.3276 data_time: 0.0861 loss: 2.3259 03/11 00:26:04 - mmengine - INFO - Epoch(train) [149][ 900/1252] lr: 8.4436e-03 eta: 2 days, 6:05:31 time: 0.3144 data_time: 0.0030 loss: 2.3247 03/11 00:26:38 - mmengine - INFO - Epoch(train) [149][1000/1252] lr: 8.4436e-03 eta: 2 days, 6:04:56 time: 0.3489 data_time: 0.1024 loss: 2.2374 03/11 00:27:12 - mmengine - INFO - Epoch(train) [149][1100/1252] lr: 8.4436e-03 eta: 2 days, 6:04:19 time: 0.3880 data_time: 0.0028 loss: 2.3042 03/11 00:27:47 - mmengine - INFO - Epoch(train) [149][1200/1252] lr: 8.4436e-03 eta: 2 days, 6:03:43 time: 0.3500 data_time: 0.0851 loss: 2.3254 03/11 00:28:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:28:04 - mmengine - INFO - Saving checkpoint at 149 epochs 03/11 00:28:29 - mmengine - INFO - Epoch(val) [149][49/49] accuracy/top1: 54.4040 accuracy/top5: 78.1780 03/11 00:29:06 - mmengine - INFO - Epoch(train) [150][ 100/1252] lr: 8.4436e-03 eta: 2 days, 6:02:59 time: 0.3840 data_time: 0.1163 loss: 2.2389 03/11 00:29:40 - mmengine - INFO - Epoch(train) [150][ 200/1252] lr: 8.4436e-03 eta: 2 days, 6:02:19 time: 0.2908 data_time: 0.1144 loss: 2.2007 03/11 00:30:14 - mmengine - INFO - Epoch(train) [150][ 300/1252] lr: 8.4436e-03 eta: 2 days, 6:01:40 time: 0.3348 data_time: 0.0068 loss: 2.2161 03/11 00:30:48 - mmengine - INFO - Epoch(train) [150][ 400/1252] lr: 8.4436e-03 eta: 2 days, 6:01:06 time: 0.3579 data_time: 0.2330 loss: 2.0855 03/11 00:31:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:31:22 - mmengine - INFO - Epoch(train) [150][ 500/1252] lr: 8.4436e-03 eta: 2 days, 6:00:30 time: 0.3159 data_time: 0.0033 loss: 2.1764 03/11 00:31:57 - mmengine - INFO - Epoch(train) [150][ 600/1252] lr: 8.4436e-03 eta: 2 days, 5:59:55 time: 0.3778 data_time: 0.0120 loss: 2.2312 03/11 00:32:31 - mmengine - INFO - Epoch(train) [150][ 700/1252] lr: 8.4436e-03 eta: 2 days, 5:59:20 time: 0.4128 data_time: 0.2217 loss: 2.1946 03/11 00:33:05 - mmengine - INFO - Epoch(train) [150][ 800/1252] lr: 8.4436e-03 eta: 2 days, 5:58:42 time: 0.3088 data_time: 0.0352 loss: 2.1510 03/11 00:33:39 - mmengine - INFO - Epoch(train) [150][ 900/1252] lr: 8.4436e-03 eta: 2 days, 5:58:03 time: 0.3100 data_time: 0.0656 loss: 2.2791 03/11 00:34:14 - mmengine - INFO - Epoch(train) [150][1000/1252] lr: 8.4436e-03 eta: 2 days, 5:57:30 time: 0.3016 data_time: 0.1546 loss: 2.0713 03/11 00:34:47 - mmengine - INFO - Epoch(train) [150][1100/1252] lr: 8.4436e-03 eta: 2 days, 5:56:50 time: 0.3238 data_time: 0.2055 loss: 2.0910 03/11 00:35:21 - mmengine - INFO - Epoch(train) [150][1200/1252] lr: 8.4436e-03 eta: 2 days, 5:56:13 time: 0.3110 data_time: 0.0029 loss: 2.2229 03/11 00:35:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:35:38 - mmengine - INFO - Saving checkpoint at 150 epochs 03/11 00:36:04 - mmengine - INFO - Epoch(val) [150][49/49] accuracy/top1: 57.1260 accuracy/top5: 80.6040 03/11 00:36:41 - mmengine - INFO - Epoch(train) [151][ 100/1252] lr: 8.2157e-03 eta: 2 days, 5:55:24 time: 0.3184 data_time: 0.0457 loss: 2.0434 03/11 00:37:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:37:15 - mmengine - INFO - Epoch(train) [151][ 200/1252] lr: 8.2157e-03 eta: 2 days, 5:54:50 time: 0.3778 data_time: 0.0823 loss: 2.2646 03/11 00:37:49 - mmengine - INFO - Epoch(train) [151][ 300/1252] lr: 8.2157e-03 eta: 2 days, 5:54:12 time: 0.3602 data_time: 0.0228 loss: 2.3676 03/11 00:38:23 - mmengine - INFO - Epoch(train) [151][ 400/1252] lr: 8.2157e-03 eta: 2 days, 5:53:34 time: 0.3471 data_time: 0.1279 loss: 2.1882 03/11 00:38:58 - mmengine - INFO - Epoch(train) [151][ 500/1252] lr: 8.2157e-03 eta: 2 days, 5:53:01 time: 0.4490 data_time: 0.0032 loss: 2.0879 03/11 00:39:31 - mmengine - INFO - Epoch(train) [151][ 600/1252] lr: 8.2157e-03 eta: 2 days, 5:52:20 time: 0.3128 data_time: 0.1098 loss: 2.1405 03/11 00:40:05 - mmengine - INFO - Epoch(train) [151][ 700/1252] lr: 8.2157e-03 eta: 2 days, 5:51:43 time: 0.3036 data_time: 0.1350 loss: 2.1348 03/11 00:40:39 - mmengine - INFO - Epoch(train) [151][ 800/1252] lr: 8.2157e-03 eta: 2 days, 5:51:06 time: 0.3509 data_time: 0.0031 loss: 2.1331 03/11 00:41:13 - mmengine - INFO - Epoch(train) [151][ 900/1252] lr: 8.2157e-03 eta: 2 days, 5:50:27 time: 0.3815 data_time: 0.1265 loss: 2.2064 03/11 00:41:46 - mmengine - INFO - Epoch(train) [151][1000/1252] lr: 8.2157e-03 eta: 2 days, 5:49:46 time: 0.3181 data_time: 0.0272 loss: 2.2177 03/11 00:42:21 - mmengine - INFO - Epoch(train) [151][1100/1252] lr: 8.2157e-03 eta: 2 days, 5:49:09 time: 0.3227 data_time: 0.1996 loss: 2.2277 03/11 00:42:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:42:54 - mmengine - INFO - Epoch(train) [151][1200/1252] lr: 8.2157e-03 eta: 2 days, 5:48:30 time: 0.3697 data_time: 0.1640 loss: 2.2659 03/11 00:43:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:43:12 - mmengine - INFO - Saving checkpoint at 151 epochs 03/11 00:43:36 - mmengine - INFO - Epoch(val) [151][49/49] accuracy/top1: 53.2380 accuracy/top5: 77.1600 03/11 00:44:13 - mmengine - INFO - Epoch(train) [152][ 100/1252] lr: 8.2157e-03 eta: 2 days, 5:47:46 time: 0.3568 data_time: 0.0032 loss: 2.1940 03/11 00:44:47 - mmengine - INFO - Epoch(train) [152][ 200/1252] lr: 8.2157e-03 eta: 2 days, 5:47:08 time: 0.3523 data_time: 0.0037 loss: 2.2289 03/11 00:45:21 - mmengine - INFO - Epoch(train) [152][ 300/1252] lr: 8.2157e-03 eta: 2 days, 5:46:29 time: 0.3538 data_time: 0.1015 loss: 2.2056 03/11 00:45:55 - mmengine - INFO - Epoch(train) [152][ 400/1252] lr: 8.2157e-03 eta: 2 days, 5:45:53 time: 0.3331 data_time: 0.0040 loss: 2.2259 03/11 00:46:29 - mmengine - INFO - Epoch(train) [152][ 500/1252] lr: 8.2157e-03 eta: 2 days, 5:45:14 time: 0.3622 data_time: 0.0684 loss: 2.2080 03/11 00:47:03 - mmengine - INFO - Epoch(train) [152][ 600/1252] lr: 8.2157e-03 eta: 2 days, 5:44:37 time: 0.3545 data_time: 0.1563 loss: 2.2833 03/11 00:47:37 - mmengine - INFO - Epoch(train) [152][ 700/1252] lr: 8.2157e-03 eta: 2 days, 5:44:00 time: 0.3666 data_time: 0.1545 loss: 2.2647 03/11 00:48:11 - mmengine - INFO - Epoch(train) [152][ 800/1252] lr: 8.2157e-03 eta: 2 days, 5:43:25 time: 0.3725 data_time: 0.0039 loss: 2.1934 03/11 00:48:45 - mmengine - INFO - Epoch(train) [152][ 900/1252] lr: 8.2157e-03 eta: 2 days, 5:42:46 time: 0.3835 data_time: 0.0867 loss: 2.1946 03/11 00:49:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:49:19 - mmengine - INFO - Epoch(train) [152][1000/1252] lr: 8.2157e-03 eta: 2 days, 5:42:08 time: 0.3921 data_time: 0.0036 loss: 2.3191 03/11 00:49:53 - mmengine - INFO - Epoch(train) [152][1100/1252] lr: 8.2157e-03 eta: 2 days, 5:41:29 time: 0.3283 data_time: 0.0282 loss: 2.2669 03/11 00:50:28 - mmengine - INFO - Epoch(train) [152][1200/1252] lr: 8.2157e-03 eta: 2 days, 5:40:57 time: 0.3582 data_time: 0.1767 loss: 2.1599 03/11 00:50:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:50:44 - mmengine - INFO - Saving checkpoint at 152 epochs 03/11 00:51:08 - mmengine - INFO - Epoch(val) [152][49/49] accuracy/top1: 53.6980 accuracy/top5: 77.5380 03/11 00:51:44 - mmengine - INFO - Epoch(train) [153][ 100/1252] lr: 7.9938e-03 eta: 2 days, 5:40:05 time: 0.3117 data_time: 0.1913 loss: 2.3253 03/11 00:52:18 - mmengine - INFO - Epoch(train) [153][ 200/1252] lr: 7.9938e-03 eta: 2 days, 5:39:27 time: 0.3415 data_time: 0.0736 loss: 2.1020 03/11 00:52:52 - mmengine - INFO - Epoch(train) [153][ 300/1252] lr: 7.9938e-03 eta: 2 days, 5:38:49 time: 0.3467 data_time: 0.0034 loss: 2.2074 03/11 00:53:26 - mmengine - INFO - Epoch(train) [153][ 400/1252] lr: 7.9938e-03 eta: 2 days, 5:38:10 time: 0.3330 data_time: 0.0038 loss: 2.1754 03/11 00:54:00 - mmengine - INFO - Epoch(train) [153][ 500/1252] lr: 7.9938e-03 eta: 2 days, 5:37:32 time: 0.3689 data_time: 0.1021 loss: 2.2737 03/11 00:54:33 - mmengine - INFO - Epoch(train) [153][ 600/1252] lr: 7.9938e-03 eta: 2 days, 5:36:52 time: 0.3574 data_time: 0.0035 loss: 2.1044 03/11 00:55:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:55:07 - mmengine - INFO - Epoch(train) [153][ 700/1252] lr: 7.9938e-03 eta: 2 days, 5:36:12 time: 0.2960 data_time: 0.0031 loss: 2.1862 03/11 00:55:41 - mmengine - INFO - Epoch(train) [153][ 800/1252] lr: 7.9938e-03 eta: 2 days, 5:35:38 time: 0.3880 data_time: 0.0034 loss: 2.1761 03/11 00:56:15 - mmengine - INFO - Epoch(train) [153][ 900/1252] lr: 7.9938e-03 eta: 2 days, 5:35:02 time: 0.3644 data_time: 0.0030 loss: 2.1969 03/11 00:56:49 - mmengine - INFO - Epoch(train) [153][1000/1252] lr: 7.9938e-03 eta: 2 days, 5:34:23 time: 0.2760 data_time: 0.1588 loss: 2.1377 03/11 00:57:23 - mmengine - INFO - Epoch(train) [153][1100/1252] lr: 7.9938e-03 eta: 2 days, 5:33:44 time: 0.3084 data_time: 0.1635 loss: 2.2081 03/11 00:57:57 - mmengine - INFO - Epoch(train) [153][1200/1252] lr: 7.9938e-03 eta: 2 days, 5:33:06 time: 0.3160 data_time: 0.0255 loss: 2.2019 03/11 00:58:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 00:58:14 - mmengine - INFO - Saving checkpoint at 153 epochs 03/11 00:58:40 - mmengine - INFO - Epoch(val) [153][49/49] accuracy/top1: 55.3520 accuracy/top5: 78.6460 03/11 00:59:16 - mmengine - INFO - Epoch(train) [154][ 100/1252] lr: 7.9938e-03 eta: 2 days, 5:32:16 time: 0.3654 data_time: 0.0994 loss: 2.2051 03/11 00:59:50 - mmengine - INFO - Epoch(train) [154][ 200/1252] lr: 7.9938e-03 eta: 2 days, 5:31:39 time: 0.2757 data_time: 0.0649 loss: 2.1673 03/11 01:00:25 - mmengine - INFO - Epoch(train) [154][ 300/1252] lr: 7.9938e-03 eta: 2 days, 5:31:05 time: 0.2928 data_time: 0.0031 loss: 2.1842 03/11 01:00:59 - mmengine - INFO - Epoch(train) [154][ 400/1252] lr: 7.9938e-03 eta: 2 days, 5:30:29 time: 0.3178 data_time: 0.0029 loss: 2.0976 03/11 01:01:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:01:33 - mmengine - INFO - Epoch(train) [154][ 500/1252] lr: 7.9938e-03 eta: 2 days, 5:29:55 time: 0.4063 data_time: 0.0110 loss: 2.1773 03/11 01:02:07 - mmengine - INFO - Epoch(train) [154][ 600/1252] lr: 7.9938e-03 eta: 2 days, 5:29:17 time: 0.3512 data_time: 0.0514 loss: 2.1457 03/11 01:02:41 - mmengine - INFO - Epoch(train) [154][ 700/1252] lr: 7.9938e-03 eta: 2 days, 5:28:39 time: 0.3313 data_time: 0.1968 loss: 2.3061 03/11 01:03:15 - mmengine - INFO - Epoch(train) [154][ 800/1252] lr: 7.9938e-03 eta: 2 days, 5:28:01 time: 0.3253 data_time: 0.0036 loss: 2.2396 03/11 01:03:49 - mmengine - INFO - Epoch(train) [154][ 900/1252] lr: 7.9938e-03 eta: 2 days, 5:27:22 time: 0.3047 data_time: 0.0029 loss: 2.1644 03/11 01:04:23 - mmengine - INFO - Epoch(train) [154][1000/1252] lr: 7.9938e-03 eta: 2 days, 5:26:46 time: 0.3629 data_time: 0.1228 loss: 2.2618 03/11 01:04:57 - mmengine - INFO - Epoch(train) [154][1100/1252] lr: 7.9938e-03 eta: 2 days, 5:26:11 time: 0.3963 data_time: 0.0034 loss: 2.2280 03/11 01:05:31 - mmengine - INFO - Epoch(train) [154][1200/1252] lr: 7.9938e-03 eta: 2 days, 5:25:34 time: 0.3483 data_time: 0.0038 loss: 2.2042 03/11 01:05:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:05:48 - mmengine - INFO - Saving checkpoint at 154 epochs 03/11 01:06:13 - mmengine - INFO - Epoch(val) [154][49/49] accuracy/top1: 55.6540 accuracy/top5: 79.1700 03/11 01:06:50 - mmengine - INFO - Epoch(train) [155][ 100/1252] lr: 7.7780e-03 eta: 2 days, 5:24:48 time: 0.3932 data_time: 0.0979 loss: 2.1319 03/11 01:07:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:07:25 - mmengine - INFO - Epoch(train) [155][ 200/1252] lr: 7.7780e-03 eta: 2 days, 5:24:14 time: 0.3586 data_time: 0.0036 loss: 2.1104 03/11 01:07:58 - mmengine - INFO - Epoch(train) [155][ 300/1252] lr: 7.7780e-03 eta: 2 days, 5:23:29 time: 0.2793 data_time: 0.0039 loss: 2.0857 03/11 01:08:32 - mmengine - INFO - Epoch(train) [155][ 400/1252] lr: 7.7780e-03 eta: 2 days, 5:22:55 time: 0.3056 data_time: 0.1474 loss: 1.9675 03/11 01:09:07 - mmengine - INFO - Epoch(train) [155][ 500/1252] lr: 7.7780e-03 eta: 2 days, 5:22:20 time: 0.2884 data_time: 0.0032 loss: 2.2052 03/11 01:09:41 - mmengine - INFO - Epoch(train) [155][ 600/1252] lr: 7.7780e-03 eta: 2 days, 5:21:43 time: 0.3141 data_time: 0.0036 loss: 2.1952 03/11 01:10:13 - mmengine - INFO - Epoch(train) [155][ 700/1252] lr: 7.7780e-03 eta: 2 days, 5:20:59 time: 0.3111 data_time: 0.0029 loss: 2.3070 03/11 01:10:48 - mmengine - INFO - Epoch(train) [155][ 800/1252] lr: 7.7780e-03 eta: 2 days, 5:20:27 time: 0.3619 data_time: 0.2488 loss: 2.2761 03/11 01:11:22 - mmengine - INFO - Epoch(train) [155][ 900/1252] lr: 7.7780e-03 eta: 2 days, 5:19:50 time: 0.3910 data_time: 0.1253 loss: 2.1818 03/11 01:11:57 - mmengine - INFO - Epoch(train) [155][1000/1252] lr: 7.7780e-03 eta: 2 days, 5:19:18 time: 0.4079 data_time: 0.2012 loss: 2.2159 03/11 01:12:30 - mmengine - INFO - Epoch(train) [155][1100/1252] lr: 7.7780e-03 eta: 2 days, 5:18:34 time: 0.2889 data_time: 0.0123 loss: 2.2195 03/11 01:13:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:13:04 - mmengine - INFO - Epoch(train) [155][1200/1252] lr: 7.7780e-03 eta: 2 days, 5:17:57 time: 0.2988 data_time: 0.0035 loss: 2.3117 03/11 01:13:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:13:21 - mmengine - INFO - Saving checkpoint at 155 epochs 03/11 01:13:45 - mmengine - INFO - Epoch(val) [155][49/49] accuracy/top1: 57.1620 accuracy/top5: 80.2740 03/11 01:14:21 - mmengine - INFO - Epoch(train) [156][ 100/1252] lr: 7.7780e-03 eta: 2 days, 5:17:07 time: 0.2892 data_time: 0.1582 loss: 2.2992 03/11 01:14:55 - mmengine - INFO - Epoch(train) [156][ 200/1252] lr: 7.7780e-03 eta: 2 days, 5:16:29 time: 0.3479 data_time: 0.1028 loss: 2.0813 03/11 01:15:30 - mmengine - INFO - Epoch(train) [156][ 300/1252] lr: 7.7780e-03 eta: 2 days, 5:15:58 time: 0.3699 data_time: 0.0036 loss: 2.3087 03/11 01:16:03 - mmengine - INFO - Epoch(train) [156][ 400/1252] lr: 7.7780e-03 eta: 2 days, 5:15:13 time: 0.3079 data_time: 0.0185 loss: 2.1636 03/11 01:16:37 - mmengine - INFO - Epoch(train) [156][ 500/1252] lr: 7.7780e-03 eta: 2 days, 5:14:38 time: 0.2873 data_time: 0.1589 loss: 2.1524 03/11 01:17:10 - mmengine - INFO - Epoch(train) [156][ 600/1252] lr: 7.7780e-03 eta: 2 days, 5:13:58 time: 0.2899 data_time: 0.0500 loss: 2.0884 03/11 01:17:45 - mmengine - INFO - Epoch(train) [156][ 700/1252] lr: 7.7780e-03 eta: 2 days, 5:13:26 time: 0.3509 data_time: 0.0030 loss: 2.2165 03/11 01:18:19 - mmengine - INFO - Epoch(train) [156][ 800/1252] lr: 7.7780e-03 eta: 2 days, 5:12:46 time: 0.3450 data_time: 0.2225 loss: 2.2933 03/11 01:18:52 - mmengine - INFO - Epoch(train) [156][ 900/1252] lr: 7.7780e-03 eta: 2 days, 5:12:07 time: 0.3307 data_time: 0.2111 loss: 2.1875 03/11 01:19:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:19:27 - mmengine - INFO - Epoch(train) [156][1000/1252] lr: 7.7780e-03 eta: 2 days, 5:11:32 time: 0.3162 data_time: 0.0827 loss: 2.2322 03/11 01:20:01 - mmengine - INFO - Epoch(train) [156][1100/1252] lr: 7.7780e-03 eta: 2 days, 5:10:54 time: 0.3562 data_time: 0.0140 loss: 2.2354 03/11 01:20:35 - mmengine - INFO - Epoch(train) [156][1200/1252] lr: 7.7780e-03 eta: 2 days, 5:10:16 time: 0.3790 data_time: 0.0380 loss: 2.0777 03/11 01:20:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:20:51 - mmengine - INFO - Saving checkpoint at 156 epochs 03/11 01:21:17 - mmengine - INFO - Epoch(val) [156][49/49] accuracy/top1: 58.4280 accuracy/top5: 81.4880 03/11 01:21:53 - mmengine - INFO - Epoch(train) [157][ 100/1252] lr: 7.5680e-03 eta: 2 days, 5:09:29 time: 0.3622 data_time: 0.1178 loss: 2.1718 03/11 01:22:27 - mmengine - INFO - Epoch(train) [157][ 200/1252] lr: 7.5680e-03 eta: 2 days, 5:08:50 time: 0.3374 data_time: 0.0536 loss: 2.0688 03/11 01:23:01 - mmengine - INFO - Epoch(train) [157][ 300/1252] lr: 7.5680e-03 eta: 2 days, 5:08:12 time: 0.3201 data_time: 0.0036 loss: 2.1056 03/11 01:23:35 - mmengine - INFO - Epoch(train) [157][ 400/1252] lr: 7.5680e-03 eta: 2 days, 5:07:33 time: 0.3298 data_time: 0.0133 loss: 2.1722 03/11 01:24:09 - mmengine - INFO - Epoch(train) [157][ 500/1252] lr: 7.5680e-03 eta: 2 days, 5:06:58 time: 0.3239 data_time: 0.1712 loss: 2.2202 03/11 01:24:42 - mmengine - INFO - Epoch(train) [157][ 600/1252] lr: 7.5680e-03 eta: 2 days, 5:06:18 time: 0.3418 data_time: 0.0031 loss: 2.1663 03/11 01:25:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:25:16 - mmengine - INFO - Epoch(train) [157][ 700/1252] lr: 7.5680e-03 eta: 2 days, 5:05:38 time: 0.2688 data_time: 0.0050 loss: 2.1684 03/11 01:25:51 - mmengine - INFO - Epoch(train) [157][ 800/1252] lr: 7.5680e-03 eta: 2 days, 5:05:04 time: 0.2806 data_time: 0.0036 loss: 2.1479 03/11 01:26:25 - mmengine - INFO - Epoch(train) [157][ 900/1252] lr: 7.5680e-03 eta: 2 days, 5:04:26 time: 0.3545 data_time: 0.0266 loss: 2.2630 03/11 01:26:59 - mmengine - INFO - Epoch(train) [157][1000/1252] lr: 7.5680e-03 eta: 2 days, 5:03:52 time: 0.3433 data_time: 0.0121 loss: 2.1766 03/11 01:27:33 - mmengine - INFO - Epoch(train) [157][1100/1252] lr: 7.5680e-03 eta: 2 days, 5:03:12 time: 0.2976 data_time: 0.1307 loss: 2.2371 03/11 01:28:06 - mmengine - INFO - Epoch(train) [157][1200/1252] lr: 7.5680e-03 eta: 2 days, 5:02:34 time: 0.3395 data_time: 0.0072 loss: 2.3003 03/11 01:28:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:28:23 - mmengine - INFO - Saving checkpoint at 157 epochs 03/11 01:28:48 - mmengine - INFO - Epoch(val) [157][49/49] accuracy/top1: 57.5440 accuracy/top5: 80.6440 03/11 01:29:25 - mmengine - INFO - Epoch(train) [158][ 100/1252] lr: 7.5680e-03 eta: 2 days, 5:01:47 time: 0.3325 data_time: 0.0033 loss: 2.0437 03/11 01:29:58 - mmengine - INFO - Epoch(train) [158][ 200/1252] lr: 7.5680e-03 eta: 2 days, 5:01:10 time: 0.3941 data_time: 0.2675 loss: 2.1236 03/11 01:30:32 - mmengine - INFO - Epoch(train) [158][ 300/1252] lr: 7.5680e-03 eta: 2 days, 5:00:29 time: 0.3229 data_time: 0.0758 loss: 2.2790 03/11 01:31:06 - mmengine - INFO - Epoch(train) [158][ 400/1252] lr: 7.5680e-03 eta: 2 days, 4:59:54 time: 0.3589 data_time: 0.0357 loss: 2.1337 03/11 01:31:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:31:40 - mmengine - INFO - Epoch(train) [158][ 500/1252] lr: 7.5680e-03 eta: 2 days, 4:59:15 time: 0.3604 data_time: 0.0270 loss: 2.1848 03/11 01:32:14 - mmengine - INFO - Epoch(train) [158][ 600/1252] lr: 7.5680e-03 eta: 2 days, 4:58:40 time: 0.3084 data_time: 0.0031 loss: 2.1410 03/11 01:32:48 - mmengine - INFO - Epoch(train) [158][ 700/1252] lr: 7.5680e-03 eta: 2 days, 4:58:00 time: 0.3118 data_time: 0.0035 loss: 2.2045 03/11 01:33:21 - mmengine - INFO - Epoch(train) [158][ 800/1252] lr: 7.5680e-03 eta: 2 days, 4:57:23 time: 0.3863 data_time: 0.0401 loss: 2.1046 03/11 01:33:55 - mmengine - INFO - Epoch(train) [158][ 900/1252] lr: 7.5680e-03 eta: 2 days, 4:56:44 time: 0.2918 data_time: 0.0030 loss: 2.1899 03/11 01:34:30 - mmengine - INFO - Epoch(train) [158][1000/1252] lr: 7.5680e-03 eta: 2 days, 4:56:10 time: 0.4188 data_time: 0.2436 loss: 2.1965 03/11 01:35:04 - mmengine - INFO - Epoch(train) [158][1100/1252] lr: 7.5680e-03 eta: 2 days, 4:55:34 time: 0.3913 data_time: 0.1225 loss: 2.1993 03/11 01:35:38 - mmengine - INFO - Epoch(train) [158][1200/1252] lr: 7.5680e-03 eta: 2 days, 4:54:55 time: 0.2811 data_time: 0.0033 loss: 2.1867 03/11 01:35:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:35:55 - mmengine - INFO - Saving checkpoint at 158 epochs 03/11 01:36:21 - mmengine - INFO - Epoch(val) [158][49/49] accuracy/top1: 56.9160 accuracy/top5: 79.8300 03/11 01:36:57 - mmengine - INFO - Epoch(train) [159][ 100/1252] lr: 7.3637e-03 eta: 2 days, 4:54:09 time: 0.3363 data_time: 0.1132 loss: 2.2015 03/11 01:37:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:37:32 - mmengine - INFO - Epoch(train) [159][ 200/1252] lr: 7.3637e-03 eta: 2 days, 4:53:33 time: 0.3560 data_time: 0.0068 loss: 2.2155 03/11 01:38:06 - mmengine - INFO - Epoch(train) [159][ 300/1252] lr: 7.3637e-03 eta: 2 days, 4:52:56 time: 0.3258 data_time: 0.0036 loss: 2.1787 03/11 01:38:39 - mmengine - INFO - Epoch(train) [159][ 400/1252] lr: 7.3637e-03 eta: 2 days, 4:52:16 time: 0.3364 data_time: 0.0033 loss: 2.0735 03/11 01:39:13 - mmengine - INFO - Epoch(train) [159][ 500/1252] lr: 7.3637e-03 eta: 2 days, 4:51:39 time: 0.2941 data_time: 0.0037 loss: 2.2499 03/11 01:39:47 - mmengine - INFO - Epoch(train) [159][ 600/1252] lr: 7.3637e-03 eta: 2 days, 4:51:00 time: 0.3307 data_time: 0.0228 loss: 2.1834 03/11 01:40:21 - mmengine - INFO - Epoch(train) [159][ 700/1252] lr: 7.3637e-03 eta: 2 days, 4:50:25 time: 0.3802 data_time: 0.2015 loss: 2.1984 03/11 01:40:55 - mmengine - INFO - Epoch(train) [159][ 800/1252] lr: 7.3637e-03 eta: 2 days, 4:49:48 time: 0.3397 data_time: 0.0441 loss: 2.0335 03/11 01:41:29 - mmengine - INFO - Epoch(train) [159][ 900/1252] lr: 7.3637e-03 eta: 2 days, 4:49:09 time: 0.3278 data_time: 0.0044 loss: 2.2380 03/11 01:42:02 - mmengine - INFO - Epoch(train) [159][1000/1252] lr: 7.3637e-03 eta: 2 days, 4:48:29 time: 0.3264 data_time: 0.1666 loss: 2.3034 03/11 01:42:36 - mmengine - INFO - Epoch(train) [159][1100/1252] lr: 7.3637e-03 eta: 2 days, 4:47:53 time: 0.3197 data_time: 0.1444 loss: 2.2563 03/11 01:43:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:43:11 - mmengine - INFO - Epoch(train) [159][1200/1252] lr: 7.3637e-03 eta: 2 days, 4:47:19 time: 0.3530 data_time: 0.0643 loss: 2.1950 03/11 01:43:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:43:28 - mmengine - INFO - Saving checkpoint at 159 epochs 03/11 01:43:51 - mmengine - INFO - Epoch(val) [159][49/49] accuracy/top1: 58.8320 accuracy/top5: 81.6200 03/11 01:44:28 - mmengine - INFO - Epoch(train) [160][ 100/1252] lr: 7.3637e-03 eta: 2 days, 4:46:29 time: 0.2823 data_time: 0.0039 loss: 2.2384 03/11 01:45:01 - mmengine - INFO - Epoch(train) [160][ 200/1252] lr: 7.3637e-03 eta: 2 days, 4:45:50 time: 0.2768 data_time: 0.1286 loss: 2.1710 03/11 01:45:36 - mmengine - INFO - Epoch(train) [160][ 300/1252] lr: 7.3637e-03 eta: 2 days, 4:45:16 time: 0.3786 data_time: 0.0415 loss: 2.0063 03/11 01:46:10 - mmengine - INFO - Epoch(train) [160][ 400/1252] lr: 7.3637e-03 eta: 2 days, 4:44:38 time: 0.3374 data_time: 0.0035 loss: 2.3517 03/11 01:46:43 - mmengine - INFO - Epoch(train) [160][ 500/1252] lr: 7.3637e-03 eta: 2 days, 4:44:00 time: 0.3631 data_time: 0.0031 loss: 2.2096 03/11 01:47:18 - mmengine - INFO - Epoch(train) [160][ 600/1252] lr: 7.3637e-03 eta: 2 days, 4:43:24 time: 0.2786 data_time: 0.0030 loss: 2.1945 03/11 01:47:51 - mmengine - INFO - Epoch(train) [160][ 700/1252] lr: 7.3637e-03 eta: 2 days, 4:42:45 time: 0.3095 data_time: 0.0619 loss: 2.0944 03/11 01:48:26 - mmengine - INFO - Epoch(train) [160][ 800/1252] lr: 7.3637e-03 eta: 2 days, 4:42:12 time: 0.3516 data_time: 0.0036 loss: 2.2097 03/11 01:48:59 - mmengine - INFO - Epoch(train) [160][ 900/1252] lr: 7.3637e-03 eta: 2 days, 4:41:31 time: 0.3087 data_time: 0.0692 loss: 2.0764 03/11 01:49:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:49:33 - mmengine - INFO - Epoch(train) [160][1000/1252] lr: 7.3637e-03 eta: 2 days, 4:40:55 time: 0.3087 data_time: 0.1816 loss: 2.1192 03/11 01:50:07 - mmengine - INFO - Epoch(train) [160][1100/1252] lr: 7.3637e-03 eta: 2 days, 4:40:18 time: 0.3061 data_time: 0.0409 loss: 2.1871 03/11 01:50:42 - mmengine - INFO - Epoch(train) [160][1200/1252] lr: 7.3637e-03 eta: 2 days, 4:39:42 time: 0.3347 data_time: 0.1256 loss: 2.1777 03/11 01:50:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:50:59 - mmengine - INFO - Saving checkpoint at 160 epochs 03/11 01:51:25 - mmengine - INFO - Epoch(val) [160][49/49] accuracy/top1: 48.8540 accuracy/top5: 73.3920 03/11 01:52:01 - mmengine - INFO - Epoch(train) [161][ 100/1252] lr: 7.1649e-03 eta: 2 days, 4:38:53 time: 0.3567 data_time: 0.0030 loss: 2.2089 03/11 01:52:36 - mmengine - INFO - Epoch(train) [161][ 200/1252] lr: 7.1649e-03 eta: 2 days, 4:38:19 time: 0.3826 data_time: 0.0036 loss: 2.1388 03/11 01:53:10 - mmengine - INFO - Epoch(train) [161][ 300/1252] lr: 7.1649e-03 eta: 2 days, 4:37:40 time: 0.3573 data_time: 0.1088 loss: 2.1160 03/11 01:53:43 - mmengine - INFO - Epoch(train) [161][ 400/1252] lr: 7.1649e-03 eta: 2 days, 4:36:58 time: 0.3385 data_time: 0.0476 loss: 2.1752 03/11 01:54:17 - mmengine - INFO - Epoch(train) [161][ 500/1252] lr: 7.1649e-03 eta: 2 days, 4:36:24 time: 0.3591 data_time: 0.2244 loss: 2.0546 03/11 01:54:51 - mmengine - INFO - Epoch(train) [161][ 600/1252] lr: 7.1649e-03 eta: 2 days, 4:35:48 time: 0.3136 data_time: 0.0033 loss: 2.1265 03/11 01:55:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:55:25 - mmengine - INFO - Epoch(train) [161][ 700/1252] lr: 7.1649e-03 eta: 2 days, 4:35:12 time: 0.3916 data_time: 0.0029 loss: 2.2600 03/11 01:55:59 - mmengine - INFO - Epoch(train) [161][ 800/1252] lr: 7.1649e-03 eta: 2 days, 4:34:32 time: 0.2927 data_time: 0.0237 loss: 2.1947 03/11 01:56:33 - mmengine - INFO - Epoch(train) [161][ 900/1252] lr: 7.1649e-03 eta: 2 days, 4:33:57 time: 0.3628 data_time: 0.0131 loss: 2.1477 03/11 01:57:06 - mmengine - INFO - Epoch(train) [161][1000/1252] lr: 7.1649e-03 eta: 2 days, 4:33:16 time: 0.3564 data_time: 0.1267 loss: 2.0947 03/11 01:57:40 - mmengine - INFO - Epoch(train) [161][1100/1252] lr: 7.1649e-03 eta: 2 days, 4:32:39 time: 0.2913 data_time: 0.0031 loss: 2.1202 03/11 01:58:14 - mmengine - INFO - Epoch(train) [161][1200/1252] lr: 7.1649e-03 eta: 2 days, 4:32:02 time: 0.3386 data_time: 0.0122 loss: 2.2116 03/11 01:58:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 01:58:31 - mmengine - INFO - Saving checkpoint at 161 epochs 03/11 01:58:56 - mmengine - INFO - Epoch(val) [161][49/49] accuracy/top1: 55.0520 accuracy/top5: 78.9500 03/11 01:59:34 - mmengine - INFO - Epoch(train) [162][ 100/1252] lr: 7.1649e-03 eta: 2 days, 4:31:17 time: 0.3765 data_time: 0.0035 loss: 2.1070 03/11 02:00:07 - mmengine - INFO - Epoch(train) [162][ 200/1252] lr: 7.1649e-03 eta: 2 days, 4:30:38 time: 0.3117 data_time: 0.0398 loss: 2.1269 03/11 02:00:41 - mmengine - INFO - Epoch(train) [162][ 300/1252] lr: 7.1649e-03 eta: 2 days, 4:30:01 time: 0.3468 data_time: 0.0030 loss: 2.2581 03/11 02:01:15 - mmengine - INFO - Epoch(train) [162][ 400/1252] lr: 7.1649e-03 eta: 2 days, 4:29:23 time: 0.3213 data_time: 0.0425 loss: 2.2694 03/11 02:01:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:01:48 - mmengine - INFO - Epoch(train) [162][ 500/1252] lr: 7.1649e-03 eta: 2 days, 4:28:44 time: 0.3593 data_time: 0.0725 loss: 2.1814 03/11 02:02:23 - mmengine - INFO - Epoch(train) [162][ 600/1252] lr: 7.1649e-03 eta: 2 days, 4:28:11 time: 0.3538 data_time: 0.0030 loss: 2.1514 03/11 02:02:57 - mmengine - INFO - Epoch(train) [162][ 700/1252] lr: 7.1649e-03 eta: 2 days, 4:27:33 time: 0.2920 data_time: 0.0036 loss: 2.2865 03/11 02:03:31 - mmengine - INFO - Epoch(train) [162][ 800/1252] lr: 7.1649e-03 eta: 2 days, 4:26:57 time: 0.3865 data_time: 0.1483 loss: 2.2214 03/11 02:04:04 - mmengine - INFO - Epoch(train) [162][ 900/1252] lr: 7.1649e-03 eta: 2 days, 4:26:18 time: 0.3359 data_time: 0.0032 loss: 2.1659 03/11 02:04:39 - mmengine - INFO - Epoch(train) [162][1000/1252] lr: 7.1649e-03 eta: 2 days, 4:25:42 time: 0.3396 data_time: 0.0121 loss: 2.1838 03/11 02:05:13 - mmengine - INFO - Epoch(train) [162][1100/1252] lr: 7.1649e-03 eta: 2 days, 4:25:08 time: 0.4068 data_time: 0.1364 loss: 2.1950 03/11 02:05:47 - mmengine - INFO - Epoch(train) [162][1200/1252] lr: 7.1649e-03 eta: 2 days, 4:24:30 time: 0.3862 data_time: 0.0036 loss: 2.0943 03/11 02:06:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:06:03 - mmengine - INFO - Saving checkpoint at 162 epochs 03/11 02:06:29 - mmengine - INFO - Epoch(val) [162][49/49] accuracy/top1: 53.5140 accuracy/top5: 77.0780 03/11 02:07:05 - mmengine - INFO - Epoch(train) [163][ 100/1252] lr: 6.9714e-03 eta: 2 days, 4:23:39 time: 0.3108 data_time: 0.1145 loss: 2.1895 03/11 02:07:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:07:39 - mmengine - INFO - Epoch(train) [163][ 200/1252] lr: 6.9714e-03 eta: 2 days, 4:23:03 time: 0.3402 data_time: 0.0709 loss: 2.1691 03/11 02:08:13 - mmengine - INFO - Epoch(train) [163][ 300/1252] lr: 6.9714e-03 eta: 2 days, 4:22:27 time: 0.3852 data_time: 0.0654 loss: 2.2929 03/11 02:08:47 - mmengine - INFO - Epoch(train) [163][ 400/1252] lr: 6.9714e-03 eta: 2 days, 4:21:48 time: 0.3544 data_time: 0.1601 loss: 2.0986 03/11 02:09:21 - mmengine - INFO - Epoch(train) [163][ 500/1252] lr: 6.9714e-03 eta: 2 days, 4:21:11 time: 0.3484 data_time: 0.0779 loss: 2.1812 03/11 02:09:56 - mmengine - INFO - Epoch(train) [163][ 600/1252] lr: 6.9714e-03 eta: 2 days, 4:20:38 time: 0.3940 data_time: 0.0162 loss: 2.2979 03/11 02:10:29 - mmengine - INFO - Epoch(train) [163][ 700/1252] lr: 6.9714e-03 eta: 2 days, 4:19:59 time: 0.3796 data_time: 0.1810 loss: 2.1950 03/11 02:11:02 - mmengine - INFO - Epoch(train) [163][ 800/1252] lr: 6.9714e-03 eta: 2 days, 4:19:19 time: 0.3373 data_time: 0.1257 loss: 2.1524 03/11 02:11:37 - mmengine - INFO - Epoch(train) [163][ 900/1252] lr: 6.9714e-03 eta: 2 days, 4:18:44 time: 0.4534 data_time: 0.2460 loss: 2.2148 03/11 02:12:10 - mmengine - INFO - Epoch(train) [163][1000/1252] lr: 6.9714e-03 eta: 2 days, 4:18:03 time: 0.3578 data_time: 0.0569 loss: 2.3042 03/11 02:12:44 - mmengine - INFO - Epoch(train) [163][1100/1252] lr: 6.9714e-03 eta: 2 days, 4:17:28 time: 0.3501 data_time: 0.1022 loss: 2.1397 03/11 02:13:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:13:18 - mmengine - INFO - Epoch(train) [163][1200/1252] lr: 6.9714e-03 eta: 2 days, 4:16:50 time: 0.3515 data_time: 0.0734 loss: 2.1652 03/11 02:13:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:13:35 - mmengine - INFO - Saving checkpoint at 163 epochs 03/11 02:14:01 - mmengine - INFO - Epoch(val) [163][49/49] accuracy/top1: 56.8960 accuracy/top5: 80.1440 03/11 02:14:37 - mmengine - INFO - Epoch(train) [164][ 100/1252] lr: 6.9714e-03 eta: 2 days, 4:16:02 time: 0.3089 data_time: 0.0036 loss: 2.1874 03/11 02:15:11 - mmengine - INFO - Epoch(train) [164][ 200/1252] lr: 6.9714e-03 eta: 2 days, 4:15:25 time: 0.3312 data_time: 0.0032 loss: 2.1005 03/11 02:15:45 - mmengine - INFO - Epoch(train) [164][ 300/1252] lr: 6.9714e-03 eta: 2 days, 4:14:48 time: 0.3477 data_time: 0.0043 loss: 2.0895 03/11 02:16:20 - mmengine - INFO - Epoch(train) [164][ 400/1252] lr: 6.9714e-03 eta: 2 days, 4:14:14 time: 0.3745 data_time: 0.0034 loss: 2.1100 03/11 02:16:53 - mmengine - INFO - Epoch(train) [164][ 500/1252] lr: 6.9714e-03 eta: 2 days, 4:13:35 time: 0.3483 data_time: 0.0202 loss: 2.0978 03/11 02:17:27 - mmengine - INFO - Epoch(train) [164][ 600/1252] lr: 6.9714e-03 eta: 2 days, 4:12:57 time: 0.3618 data_time: 0.0225 loss: 2.1438 03/11 02:18:01 - mmengine - INFO - Epoch(train) [164][ 700/1252] lr: 6.9714e-03 eta: 2 days, 4:12:20 time: 0.3380 data_time: 0.0029 loss: 2.1847 03/11 02:18:35 - mmengine - INFO - Epoch(train) [164][ 800/1252] lr: 6.9714e-03 eta: 2 days, 4:11:44 time: 0.3194 data_time: 0.1520 loss: 2.1612 03/11 02:19:09 - mmengine - INFO - Epoch(train) [164][ 900/1252] lr: 6.9714e-03 eta: 2 days, 4:11:06 time: 0.3534 data_time: 0.0359 loss: 2.1206 03/11 02:19:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:19:43 - mmengine - INFO - Epoch(train) [164][1000/1252] lr: 6.9714e-03 eta: 2 days, 4:10:32 time: 0.3234 data_time: 0.0030 loss: 2.2478 03/11 02:20:17 - mmengine - INFO - Epoch(train) [164][1100/1252] lr: 6.9714e-03 eta: 2 days, 4:09:54 time: 0.3290 data_time: 0.0034 loss: 2.2107 03/11 02:20:51 - mmengine - INFO - Epoch(train) [164][1200/1252] lr: 6.9714e-03 eta: 2 days, 4:09:17 time: 0.3198 data_time: 0.0031 loss: 2.0438 03/11 02:21:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:21:08 - mmengine - INFO - Saving checkpoint at 164 epochs 03/11 02:21:33 - mmengine - INFO - Epoch(val) [164][49/49] accuracy/top1: 57.0080 accuracy/top5: 80.1760 03/11 02:22:10 - mmengine - INFO - Epoch(train) [165][ 100/1252] lr: 6.7832e-03 eta: 2 days, 4:08:29 time: 0.3317 data_time: 0.0036 loss: 2.1669 03/11 02:22:43 - mmengine - INFO - Epoch(train) [165][ 200/1252] lr: 6.7832e-03 eta: 2 days, 4:07:52 time: 0.3489 data_time: 0.1885 loss: 2.1458 03/11 02:23:18 - mmengine - INFO - Epoch(train) [165][ 300/1252] lr: 6.7832e-03 eta: 2 days, 4:07:15 time: 0.3107 data_time: 0.0054 loss: 2.0698 03/11 02:23:51 - mmengine - INFO - Epoch(train) [165][ 400/1252] lr: 6.7832e-03 eta: 2 days, 4:06:35 time: 0.2926 data_time: 0.0044 loss: 2.1143 03/11 02:24:25 - mmengine - INFO - Epoch(train) [165][ 500/1252] lr: 6.7832e-03 eta: 2 days, 4:05:58 time: 0.3410 data_time: 0.0395 loss: 2.1253 03/11 02:24:58 - mmengine - INFO - Epoch(train) [165][ 600/1252] lr: 6.7832e-03 eta: 2 days, 4:05:21 time: 0.3124 data_time: 0.0227 loss: 2.2048 03/11 02:25:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:25:32 - mmengine - INFO - Epoch(train) [165][ 700/1252] lr: 6.7832e-03 eta: 2 days, 4:04:43 time: 0.3137 data_time: 0.0031 loss: 2.1122 03/11 02:26:07 - mmengine - INFO - Epoch(train) [165][ 800/1252] lr: 6.7832e-03 eta: 2 days, 4:04:08 time: 0.3495 data_time: 0.0033 loss: 2.1782 03/11 02:26:41 - mmengine - INFO - Epoch(train) [165][ 900/1252] lr: 6.7832e-03 eta: 2 days, 4:03:32 time: 0.3517 data_time: 0.0048 loss: 2.1786 03/11 02:27:14 - mmengine - INFO - Epoch(train) [165][1000/1252] lr: 6.7832e-03 eta: 2 days, 4:02:53 time: 0.3589 data_time: 0.0031 loss: 2.1497 03/11 02:27:48 - mmengine - INFO - Epoch(train) [165][1100/1252] lr: 6.7832e-03 eta: 2 days, 4:02:17 time: 0.3882 data_time: 0.1638 loss: 2.0715 03/11 02:28:22 - mmengine - INFO - Epoch(train) [165][1200/1252] lr: 6.7832e-03 eta: 2 days, 4:01:40 time: 0.3416 data_time: 0.0846 loss: 2.1687 03/11 02:28:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:28:40 - mmengine - INFO - Saving checkpoint at 165 epochs 03/11 02:29:04 - mmengine - INFO - Epoch(val) [165][49/49] accuracy/top1: 58.6780 accuracy/top5: 81.3760 03/11 02:29:41 - mmengine - INFO - Epoch(train) [166][ 100/1252] lr: 6.7832e-03 eta: 2 days, 4:00:53 time: 0.3569 data_time: 0.0034 loss: 2.1932 03/11 02:30:15 - mmengine - INFO - Epoch(train) [166][ 200/1252] lr: 6.7832e-03 eta: 2 days, 4:00:19 time: 0.2906 data_time: 0.0031 loss: 2.2379 03/11 02:30:48 - mmengine - INFO - Epoch(train) [166][ 300/1252] lr: 6.7832e-03 eta: 2 days, 3:59:38 time: 0.3552 data_time: 0.0037 loss: 2.2051 03/11 02:31:22 - mmengine - INFO - Epoch(train) [166][ 400/1252] lr: 6.7832e-03 eta: 2 days, 3:59:01 time: 0.3660 data_time: 0.0036 loss: 2.1270 03/11 02:31:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:31:56 - mmengine - INFO - Epoch(train) [166][ 500/1252] lr: 6.7832e-03 eta: 2 days, 3:58:23 time: 0.2991 data_time: 0.0252 loss: 2.1948 03/11 02:32:30 - mmengine - INFO - Epoch(train) [166][ 600/1252] lr: 6.7832e-03 eta: 2 days, 3:57:48 time: 0.2952 data_time: 0.0029 loss: 2.2168 03/11 02:33:04 - mmengine - INFO - Epoch(train) [166][ 700/1252] lr: 6.7832e-03 eta: 2 days, 3:57:10 time: 0.3311 data_time: 0.0038 loss: 2.2352 03/11 02:33:38 - mmengine - INFO - Epoch(train) [166][ 800/1252] lr: 6.7832e-03 eta: 2 days, 3:56:35 time: 0.3081 data_time: 0.0411 loss: 2.1501 03/11 02:34:13 - mmengine - INFO - Epoch(train) [166][ 900/1252] lr: 6.7832e-03 eta: 2 days, 3:56:01 time: 0.3995 data_time: 0.0085 loss: 2.2069 03/11 02:34:48 - mmengine - INFO - Epoch(train) [166][1000/1252] lr: 6.7832e-03 eta: 2 days, 3:55:28 time: 0.3595 data_time: 0.0032 loss: 2.2451 03/11 02:35:21 - mmengine - INFO - Epoch(train) [166][1100/1252] lr: 6.7832e-03 eta: 2 days, 3:54:50 time: 0.3883 data_time: 0.0160 loss: 2.1109 03/11 02:35:55 - mmengine - INFO - Epoch(train) [166][1200/1252] lr: 6.7832e-03 eta: 2 days, 3:54:11 time: 0.3236 data_time: 0.0771 loss: 2.0537 03/11 02:36:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:36:12 - mmengine - INFO - Saving checkpoint at 166 epochs 03/11 02:36:36 - mmengine - INFO - Epoch(val) [166][49/49] accuracy/top1: 57.5660 accuracy/top5: 80.7840 03/11 02:37:12 - mmengine - INFO - Epoch(train) [167][ 100/1252] lr: 6.6000e-03 eta: 2 days, 3:53:25 time: 0.3265 data_time: 0.1268 loss: 2.1132 03/11 02:37:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:37:47 - mmengine - INFO - Epoch(train) [167][ 200/1252] lr: 6.6000e-03 eta: 2 days, 3:52:52 time: 0.3078 data_time: 0.0033 loss: 2.0584 03/11 02:38:21 - mmengine - INFO - Epoch(train) [167][ 300/1252] lr: 6.6000e-03 eta: 2 days, 3:52:17 time: 0.3756 data_time: 0.0032 loss: 2.1731 03/11 02:38:55 - mmengine - INFO - Epoch(train) [167][ 400/1252] lr: 6.6000e-03 eta: 2 days, 3:51:39 time: 0.3309 data_time: 0.0033 loss: 2.1140 03/11 02:39:30 - mmengine - INFO - Epoch(train) [167][ 500/1252] lr: 6.6000e-03 eta: 2 days, 3:51:04 time: 0.3645 data_time: 0.0039 loss: 2.2362 03/11 02:40:04 - mmengine - INFO - Epoch(train) [167][ 600/1252] lr: 6.6000e-03 eta: 2 days, 3:50:29 time: 0.3919 data_time: 0.0032 loss: 2.1610 03/11 02:40:38 - mmengine - INFO - Epoch(train) [167][ 700/1252] lr: 6.6000e-03 eta: 2 days, 3:49:51 time: 0.3611 data_time: 0.0137 loss: 2.2814 03/11 02:41:12 - mmengine - INFO - Epoch(train) [167][ 800/1252] lr: 6.6000e-03 eta: 2 days, 3:49:18 time: 0.3864 data_time: 0.0044 loss: 2.2082 03/11 02:41:46 - mmengine - INFO - Epoch(train) [167][ 900/1252] lr: 6.6000e-03 eta: 2 days, 3:48:38 time: 0.3618 data_time: 0.1555 loss: 2.1361 03/11 02:42:20 - mmengine - INFO - Epoch(train) [167][1000/1252] lr: 6.6000e-03 eta: 2 days, 3:48:03 time: 0.3954 data_time: 0.0030 loss: 2.2110 03/11 02:42:53 - mmengine - INFO - Epoch(train) [167][1100/1252] lr: 6.6000e-03 eta: 2 days, 3:47:23 time: 0.3509 data_time: 0.0138 loss: 2.0870 03/11 02:43:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:43:27 - mmengine - INFO - Epoch(train) [167][1200/1252] lr: 6.6000e-03 eta: 2 days, 3:46:44 time: 0.3100 data_time: 0.0035 loss: 2.2742 03/11 02:43:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:43:44 - mmengine - INFO - Saving checkpoint at 167 epochs 03/11 02:44:08 - mmengine - INFO - Epoch(val) [167][49/49] accuracy/top1: 53.2860 accuracy/top5: 77.4180 03/11 02:44:44 - mmengine - INFO - Epoch(train) [168][ 100/1252] lr: 6.6000e-03 eta: 2 days, 3:45:56 time: 0.2926 data_time: 0.0035 loss: 2.2314 03/11 02:45:18 - mmengine - INFO - Epoch(train) [168][ 200/1252] lr: 6.6000e-03 eta: 2 days, 3:45:16 time: 0.3237 data_time: 0.1303 loss: 2.1191 03/11 02:45:52 - mmengine - INFO - Epoch(train) [168][ 300/1252] lr: 6.6000e-03 eta: 2 days, 3:44:41 time: 0.3104 data_time: 0.0032 loss: 2.1769 03/11 02:46:26 - mmengine - INFO - Epoch(train) [168][ 400/1252] lr: 6.6000e-03 eta: 2 days, 3:44:03 time: 0.3371 data_time: 0.0800 loss: 2.1532 03/11 02:47:00 - mmengine - INFO - Epoch(train) [168][ 500/1252] lr: 6.6000e-03 eta: 2 days, 3:43:27 time: 0.3290 data_time: 0.0034 loss: 2.2361 03/11 02:47:33 - mmengine - INFO - Epoch(train) [168][ 600/1252] lr: 6.6000e-03 eta: 2 days, 3:42:46 time: 0.2823 data_time: 0.0039 loss: 2.1696 03/11 02:48:07 - mmengine - INFO - Epoch(train) [168][ 700/1252] lr: 6.6000e-03 eta: 2 days, 3:42:09 time: 0.3122 data_time: 0.0035 loss: 2.1176 03/11 02:48:41 - mmengine - INFO - Epoch(train) [168][ 800/1252] lr: 6.6000e-03 eta: 2 days, 3:41:33 time: 0.2977 data_time: 0.1462 loss: 2.0990 03/11 02:49:15 - mmengine - INFO - Epoch(train) [168][ 900/1252] lr: 6.6000e-03 eta: 2 days, 3:40:57 time: 0.3505 data_time: 0.0797 loss: 2.1543 03/11 02:49:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:49:49 - mmengine - INFO - Epoch(train) [168][1000/1252] lr: 6.6000e-03 eta: 2 days, 3:40:20 time: 0.3008 data_time: 0.1770 loss: 2.1612 03/11 02:50:23 - mmengine - INFO - Epoch(train) [168][1100/1252] lr: 6.6000e-03 eta: 2 days, 3:39:43 time: 0.3243 data_time: 0.0466 loss: 2.1051 03/11 02:50:57 - mmengine - INFO - Epoch(train) [168][1200/1252] lr: 6.6000e-03 eta: 2 days, 3:39:07 time: 0.4085 data_time: 0.1875 loss: 2.1473 03/11 02:51:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:51:14 - mmengine - INFO - Saving checkpoint at 168 epochs 03/11 02:51:39 - mmengine - INFO - Epoch(val) [168][49/49] accuracy/top1: 59.5500 accuracy/top5: 82.1240 03/11 02:52:15 - mmengine - INFO - Epoch(train) [169][ 100/1252] lr: 6.4218e-03 eta: 2 days, 3:38:19 time: 0.3499 data_time: 0.0808 loss: 2.1452 03/11 02:52:49 - mmengine - INFO - Epoch(train) [169][ 200/1252] lr: 6.4218e-03 eta: 2 days, 3:37:43 time: 0.3696 data_time: 0.1513 loss: 2.2368 03/11 02:53:23 - mmengine - INFO - Epoch(train) [169][ 300/1252] lr: 6.4218e-03 eta: 2 days, 3:37:04 time: 0.3737 data_time: 0.0036 loss: 2.0594 03/11 02:53:58 - mmengine - INFO - Epoch(train) [169][ 400/1252] lr: 6.4218e-03 eta: 2 days, 3:36:32 time: 0.3221 data_time: 0.0028 loss: 2.0560 03/11 02:54:31 - mmengine - INFO - Epoch(train) [169][ 500/1252] lr: 6.4218e-03 eta: 2 days, 3:35:52 time: 0.2968 data_time: 0.1728 loss: 2.0641 03/11 02:55:05 - mmengine - INFO - Epoch(train) [169][ 600/1252] lr: 6.4218e-03 eta: 2 days, 3:35:16 time: 0.3285 data_time: 0.1765 loss: 2.1407 03/11 02:55:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:55:39 - mmengine - INFO - Epoch(train) [169][ 700/1252] lr: 6.4218e-03 eta: 2 days, 3:34:39 time: 0.3497 data_time: 0.0031 loss: 2.1684 03/11 02:56:13 - mmengine - INFO - Epoch(train) [169][ 800/1252] lr: 6.4218e-03 eta: 2 days, 3:34:02 time: 0.3366 data_time: 0.1965 loss: 2.1627 03/11 02:56:47 - mmengine - INFO - Epoch(train) [169][ 900/1252] lr: 6.4218e-03 eta: 2 days, 3:33:26 time: 0.3117 data_time: 0.1759 loss: 2.1497 03/11 02:57:21 - mmengine - INFO - Epoch(train) [169][1000/1252] lr: 6.4218e-03 eta: 2 days, 3:32:49 time: 0.3842 data_time: 0.0158 loss: 2.1773 03/11 02:57:55 - mmengine - INFO - Epoch(train) [169][1100/1252] lr: 6.4218e-03 eta: 2 days, 3:32:14 time: 0.4131 data_time: 0.0032 loss: 2.1960 03/11 02:58:28 - mmengine - INFO - Epoch(train) [169][1200/1252] lr: 6.4218e-03 eta: 2 days, 3:31:34 time: 0.3022 data_time: 0.0066 loss: 2.2166 03/11 02:58:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 02:58:46 - mmengine - INFO - Saving checkpoint at 169 epochs 03/11 02:59:11 - mmengine - INFO - Epoch(val) [169][49/49] accuracy/top1: 58.1340 accuracy/top5: 81.2520 03/11 02:59:47 - mmengine - INFO - Epoch(train) [170][ 100/1252] lr: 6.4218e-03 eta: 2 days, 3:30:48 time: 0.3580 data_time: 0.0044 loss: 2.1681 03/11 03:00:21 - mmengine - INFO - Epoch(train) [170][ 200/1252] lr: 6.4218e-03 eta: 2 days, 3:30:10 time: 0.3475 data_time: 0.0039 loss: 2.0768 03/11 03:00:55 - mmengine - INFO - Epoch(train) [170][ 300/1252] lr: 6.4218e-03 eta: 2 days, 3:29:35 time: 0.3499 data_time: 0.0029 loss: 2.1279 03/11 03:01:29 - mmengine - INFO - Epoch(train) [170][ 400/1252] lr: 6.4218e-03 eta: 2 days, 3:28:59 time: 0.3770 data_time: 0.0035 loss: 2.2516 03/11 03:01:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:02:03 - mmengine - INFO - Epoch(train) [170][ 500/1252] lr: 6.4218e-03 eta: 2 days, 3:28:20 time: 0.3221 data_time: 0.1081 loss: 2.1026 03/11 03:02:37 - mmengine - INFO - Epoch(train) [170][ 600/1252] lr: 6.4218e-03 eta: 2 days, 3:27:45 time: 0.3576 data_time: 0.0030 loss: 2.1817 03/11 03:03:11 - mmengine - INFO - Epoch(train) [170][ 700/1252] lr: 6.4218e-03 eta: 2 days, 3:27:08 time: 0.3193 data_time: 0.0635 loss: 2.1681 03/11 03:03:45 - mmengine - INFO - Epoch(train) [170][ 800/1252] lr: 6.4218e-03 eta: 2 days, 3:26:33 time: 0.3661 data_time: 0.1687 loss: 2.1711 03/11 03:04:19 - mmengine - INFO - Epoch(train) [170][ 900/1252] lr: 6.4218e-03 eta: 2 days, 3:25:57 time: 0.3179 data_time: 0.1545 loss: 2.1582 03/11 03:04:53 - mmengine - INFO - Epoch(train) [170][1000/1252] lr: 6.4218e-03 eta: 2 days, 3:25:20 time: 0.3150 data_time: 0.0029 loss: 2.1410 03/11 03:05:26 - mmengine - INFO - Epoch(train) [170][1100/1252] lr: 6.4218e-03 eta: 2 days, 3:24:40 time: 0.3163 data_time: 0.1946 loss: 2.1532 03/11 03:06:01 - mmengine - INFO - Epoch(train) [170][1200/1252] lr: 6.4218e-03 eta: 2 days, 3:24:06 time: 0.3750 data_time: 0.1771 loss: 2.1280 03/11 03:06:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:06:18 - mmengine - INFO - Saving checkpoint at 170 epochs 03/11 03:06:44 - mmengine - INFO - Epoch(val) [170][49/49] accuracy/top1: 59.8900 accuracy/top5: 82.4120 03/11 03:07:21 - mmengine - INFO - Epoch(train) [171][ 100/1252] lr: 6.2484e-03 eta: 2 days, 3:23:18 time: 0.3148 data_time: 0.0037 loss: 2.1769 03/11 03:07:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:07:54 - mmengine - INFO - Epoch(train) [171][ 200/1252] lr: 6.2484e-03 eta: 2 days, 3:22:41 time: 0.3329 data_time: 0.0034 loss: 2.0907 03/11 03:08:29 - mmengine - INFO - Epoch(train) [171][ 300/1252] lr: 6.2484e-03 eta: 2 days, 3:22:05 time: 0.3289 data_time: 0.0084 loss: 1.9882 03/11 03:09:02 - mmengine - INFO - Epoch(train) [171][ 400/1252] lr: 6.2484e-03 eta: 2 days, 3:21:26 time: 0.2905 data_time: 0.0037 loss: 2.1039 03/11 03:09:36 - mmengine - INFO - Epoch(train) [171][ 500/1252] lr: 6.2484e-03 eta: 2 days, 3:20:49 time: 0.3073 data_time: 0.1481 loss: 2.1458 03/11 03:10:10 - mmengine - INFO - Epoch(train) [171][ 600/1252] lr: 6.2484e-03 eta: 2 days, 3:20:13 time: 0.3355 data_time: 0.0150 loss: 2.0476 03/11 03:10:44 - mmengine - INFO - Epoch(train) [171][ 700/1252] lr: 6.2484e-03 eta: 2 days, 3:19:36 time: 0.3442 data_time: 0.0670 loss: 2.1277 03/11 03:11:18 - mmengine - INFO - Epoch(train) [171][ 800/1252] lr: 6.2484e-03 eta: 2 days, 3:19:01 time: 0.3126 data_time: 0.0069 loss: 2.1169 03/11 03:11:52 - mmengine - INFO - Epoch(train) [171][ 900/1252] lr: 6.2484e-03 eta: 2 days, 3:18:24 time: 0.3088 data_time: 0.0033 loss: 2.1269 03/11 03:12:26 - mmengine - INFO - Epoch(train) [171][1000/1252] lr: 6.2484e-03 eta: 2 days, 3:17:49 time: 0.3119 data_time: 0.1899 loss: 2.1743 03/11 03:13:00 - mmengine - INFO - Epoch(train) [171][1100/1252] lr: 6.2484e-03 eta: 2 days, 3:17:13 time: 0.4006 data_time: 0.0062 loss: 2.1733 03/11 03:13:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:13:34 - mmengine - INFO - Epoch(train) [171][1200/1252] lr: 6.2484e-03 eta: 2 days, 3:16:33 time: 0.3332 data_time: 0.2023 loss: 2.0537 03/11 03:13:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:13:51 - mmengine - INFO - Saving checkpoint at 171 epochs 03/11 03:14:16 - mmengine - INFO - Epoch(val) [171][49/49] accuracy/top1: 59.2820 accuracy/top5: 81.9220 03/11 03:14:53 - mmengine - INFO - Epoch(train) [172][ 100/1252] lr: 6.2484e-03 eta: 2 days, 3:15:47 time: 0.3224 data_time: 0.0836 loss: 2.1630 03/11 03:15:27 - mmengine - INFO - Epoch(train) [172][ 200/1252] lr: 6.2484e-03 eta: 2 days, 3:15:11 time: 0.3631 data_time: 0.0038 loss: 2.1003 03/11 03:16:00 - mmengine - INFO - Epoch(train) [172][ 300/1252] lr: 6.2484e-03 eta: 2 days, 3:14:33 time: 0.2898 data_time: 0.0336 loss: 2.1799 03/11 03:16:35 - mmengine - INFO - Epoch(train) [172][ 400/1252] lr: 6.2484e-03 eta: 2 days, 3:13:57 time: 0.3185 data_time: 0.0689 loss: 2.1781 03/11 03:17:09 - mmengine - INFO - Epoch(train) [172][ 500/1252] lr: 6.2484e-03 eta: 2 days, 3:13:23 time: 0.3433 data_time: 0.0031 loss: 2.1028 03/11 03:17:43 - mmengine - INFO - Epoch(train) [172][ 600/1252] lr: 6.2484e-03 eta: 2 days, 3:12:45 time: 0.3457 data_time: 0.0779 loss: 2.2022 03/11 03:18:16 - mmengine - INFO - Epoch(train) [172][ 700/1252] lr: 6.2484e-03 eta: 2 days, 3:12:08 time: 0.3120 data_time: 0.0031 loss: 2.1601 03/11 03:18:51 - mmengine - INFO - Epoch(train) [172][ 800/1252] lr: 6.2484e-03 eta: 2 days, 3:11:34 time: 0.3231 data_time: 0.0312 loss: 2.1955 03/11 03:19:25 - mmengine - INFO - Epoch(train) [172][ 900/1252] lr: 6.2484e-03 eta: 2 days, 3:10:58 time: 0.3145 data_time: 0.1851 loss: 2.1969 03/11 03:19:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:19:59 - mmengine - INFO - Epoch(train) [172][1000/1252] lr: 6.2484e-03 eta: 2 days, 3:10:21 time: 0.3234 data_time: 0.0042 loss: 2.1959 03/11 03:20:33 - mmengine - INFO - Epoch(train) [172][1100/1252] lr: 6.2484e-03 eta: 2 days, 3:09:44 time: 0.3492 data_time: 0.0594 loss: 2.1911 03/11 03:21:07 - mmengine - INFO - Epoch(train) [172][1200/1252] lr: 6.2484e-03 eta: 2 days, 3:09:08 time: 0.3599 data_time: 0.0227 loss: 2.1887 03/11 03:21:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:21:24 - mmengine - INFO - Saving checkpoint at 172 epochs 03/11 03:21:49 - mmengine - INFO - Epoch(val) [172][49/49] accuracy/top1: 59.0740 accuracy/top5: 82.0380 03/11 03:22:26 - mmengine - INFO - Epoch(train) [173][ 100/1252] lr: 6.0797e-03 eta: 2 days, 3:08:21 time: 0.4280 data_time: 0.0582 loss: 2.2346 03/11 03:23:00 - mmengine - INFO - Epoch(train) [173][ 200/1252] lr: 6.0797e-03 eta: 2 days, 3:07:44 time: 0.3584 data_time: 0.0765 loss: 2.0994 03/11 03:23:33 - mmengine - INFO - Epoch(train) [173][ 300/1252] lr: 6.0797e-03 eta: 2 days, 3:07:05 time: 0.3455 data_time: 0.0747 loss: 2.0057 03/11 03:24:08 - mmengine - INFO - Epoch(train) [173][ 400/1252] lr: 6.0797e-03 eta: 2 days, 3:06:32 time: 0.3253 data_time: 0.0032 loss: 2.1066 03/11 03:24:42 - mmengine - INFO - Epoch(train) [173][ 500/1252] lr: 6.0797e-03 eta: 2 days, 3:05:56 time: 0.3433 data_time: 0.1692 loss: 2.1744 03/11 03:25:17 - mmengine - INFO - Epoch(train) [173][ 600/1252] lr: 6.0797e-03 eta: 2 days, 3:05:24 time: 0.3827 data_time: 0.0031 loss: 2.1759 03/11 03:25:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:25:50 - mmengine - INFO - Epoch(train) [173][ 700/1252] lr: 6.0797e-03 eta: 2 days, 3:04:43 time: 0.3538 data_time: 0.0040 loss: 2.1344 03/11 03:26:24 - mmengine - INFO - Epoch(train) [173][ 800/1252] lr: 6.0797e-03 eta: 2 days, 3:04:09 time: 0.3250 data_time: 0.0031 loss: 2.0397 03/11 03:26:58 - mmengine - INFO - Epoch(train) [173][ 900/1252] lr: 6.0797e-03 eta: 2 days, 3:03:30 time: 0.3163 data_time: 0.1314 loss: 2.1665 03/11 03:27:32 - mmengine - INFO - Epoch(train) [173][1000/1252] lr: 6.0797e-03 eta: 2 days, 3:02:55 time: 0.3482 data_time: 0.2285 loss: 2.1370 03/11 03:28:06 - mmengine - INFO - Epoch(train) [173][1100/1252] lr: 6.0797e-03 eta: 2 days, 3:02:19 time: 0.3424 data_time: 0.2126 loss: 2.0967 03/11 03:28:40 - mmengine - INFO - Epoch(train) [173][1200/1252] lr: 6.0797e-03 eta: 2 days, 3:01:40 time: 0.3054 data_time: 0.0035 loss: 1.9884 03/11 03:28:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:28:57 - mmengine - INFO - Saving checkpoint at 173 epochs 03/11 03:29:23 - mmengine - INFO - Epoch(val) [173][49/49] accuracy/top1: 54.9120 accuracy/top5: 78.4160 03/11 03:30:00 - mmengine - INFO - Epoch(train) [174][ 100/1252] lr: 6.0797e-03 eta: 2 days, 3:00:57 time: 0.3476 data_time: 0.2061 loss: 2.0362 03/11 03:30:34 - mmengine - INFO - Epoch(train) [174][ 200/1252] lr: 6.0797e-03 eta: 2 days, 3:00:21 time: 0.2903 data_time: 0.0039 loss: 2.1774 03/11 03:31:08 - mmengine - INFO - Epoch(train) [174][ 300/1252] lr: 6.0797e-03 eta: 2 days, 2:59:45 time: 0.3424 data_time: 0.0045 loss: 2.1544 03/11 03:31:42 - mmengine - INFO - Epoch(train) [174][ 400/1252] lr: 6.0797e-03 eta: 2 days, 2:59:09 time: 0.3974 data_time: 0.2556 loss: 2.1993 03/11 03:31:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:32:16 - mmengine - INFO - Epoch(train) [174][ 500/1252] lr: 6.0797e-03 eta: 2 days, 2:58:32 time: 0.3113 data_time: 0.0029 loss: 2.1219 03/11 03:32:50 - mmengine - INFO - Epoch(train) [174][ 600/1252] lr: 6.0797e-03 eta: 2 days, 2:57:57 time: 0.3112 data_time: 0.0707 loss: 2.1434 03/11 03:33:24 - mmengine - INFO - Epoch(train) [174][ 700/1252] lr: 6.0797e-03 eta: 2 days, 2:57:21 time: 0.3373 data_time: 0.0315 loss: 2.1901 03/11 03:33:58 - mmengine - INFO - Epoch(train) [174][ 800/1252] lr: 6.0797e-03 eta: 2 days, 2:56:43 time: 0.3246 data_time: 0.0522 loss: 2.1016 03/11 03:34:31 - mmengine - INFO - Epoch(train) [174][ 900/1252] lr: 6.0797e-03 eta: 2 days, 2:56:04 time: 0.2957 data_time: 0.0032 loss: 2.1473 03/11 03:35:05 - mmengine - INFO - Epoch(train) [174][1000/1252] lr: 6.0797e-03 eta: 2 days, 2:55:28 time: 0.2822 data_time: 0.0033 loss: 2.1839 03/11 03:35:40 - mmengine - INFO - Epoch(train) [174][1100/1252] lr: 6.0797e-03 eta: 2 days, 2:54:55 time: 0.3062 data_time: 0.0030 loss: 2.1243 03/11 03:36:13 - mmengine - INFO - Epoch(train) [174][1200/1252] lr: 6.0797e-03 eta: 2 days, 2:54:16 time: 0.3570 data_time: 0.0033 loss: 2.0664 03/11 03:36:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:36:30 - mmengine - INFO - Saving checkpoint at 174 epochs 03/11 03:36:56 - mmengine - INFO - Epoch(val) [174][49/49] accuracy/top1: 59.3960 accuracy/top5: 82.1820 03/11 03:37:33 - mmengine - INFO - Epoch(train) [175][ 100/1252] lr: 5.9156e-03 eta: 2 days, 2:53:28 time: 0.3113 data_time: 0.0542 loss: 2.1722 03/11 03:37:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:38:07 - mmengine - INFO - Epoch(train) [175][ 200/1252] lr: 5.9156e-03 eta: 2 days, 2:52:54 time: 0.3389 data_time: 0.0036 loss: 2.1539 03/11 03:38:41 - mmengine - INFO - Epoch(train) [175][ 300/1252] lr: 5.9156e-03 eta: 2 days, 2:52:17 time: 0.3771 data_time: 0.1741 loss: 2.1589 03/11 03:39:16 - mmengine - INFO - Epoch(train) [175][ 400/1252] lr: 5.9156e-03 eta: 2 days, 2:51:43 time: 0.3759 data_time: 0.0033 loss: 2.1197 03/11 03:39:48 - mmengine - INFO - Epoch(train) [175][ 500/1252] lr: 5.9156e-03 eta: 2 days, 2:51:02 time: 0.3155 data_time: 0.0031 loss: 2.0856 03/11 03:40:22 - mmengine - INFO - Epoch(train) [175][ 600/1252] lr: 5.9156e-03 eta: 2 days, 2:50:24 time: 0.2782 data_time: 0.0031 loss: 2.1296 03/11 03:40:57 - mmengine - INFO - Epoch(train) [175][ 700/1252] lr: 5.9156e-03 eta: 2 days, 2:49:53 time: 0.3750 data_time: 0.0054 loss: 2.0700 03/11 03:41:31 - mmengine - INFO - Epoch(train) [175][ 800/1252] lr: 5.9156e-03 eta: 2 days, 2:49:17 time: 0.3753 data_time: 0.0377 loss: 2.1985 03/11 03:42:05 - mmengine - INFO - Epoch(train) [175][ 900/1252] lr: 5.9156e-03 eta: 2 days, 2:48:39 time: 0.3362 data_time: 0.0032 loss: 2.0906 03/11 03:42:38 - mmengine - INFO - Epoch(train) [175][1000/1252] lr: 5.9156e-03 eta: 2 days, 2:47:59 time: 0.3340 data_time: 0.0033 loss: 2.2808 03/11 03:43:12 - mmengine - INFO - Epoch(train) [175][1100/1252] lr: 5.9156e-03 eta: 2 days, 2:47:24 time: 0.3370 data_time: 0.0123 loss: 2.1886 03/11 03:43:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:43:46 - mmengine - INFO - Epoch(train) [175][1200/1252] lr: 5.9156e-03 eta: 2 days, 2:46:47 time: 0.3230 data_time: 0.0034 loss: 2.1040 03/11 03:44:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:44:03 - mmengine - INFO - Saving checkpoint at 175 epochs 03/11 03:44:28 - mmengine - INFO - Epoch(val) [175][49/49] accuracy/top1: 59.9820 accuracy/top5: 82.4760 03/11 03:45:04 - mmengine - INFO - Epoch(train) [176][ 100/1252] lr: 5.9156e-03 eta: 2 days, 2:45:55 time: 0.3307 data_time: 0.2079 loss: 2.0923 03/11 03:45:38 - mmengine - INFO - Epoch(train) [176][ 200/1252] lr: 5.9156e-03 eta: 2 days, 2:45:19 time: 0.3523 data_time: 0.0035 loss: 1.9880 03/11 03:46:13 - mmengine - INFO - Epoch(train) [176][ 300/1252] lr: 5.9156e-03 eta: 2 days, 2:44:44 time: 0.3021 data_time: 0.0038 loss: 2.1227 03/11 03:46:46 - mmengine - INFO - Epoch(train) [176][ 400/1252] lr: 5.9156e-03 eta: 2 days, 2:44:06 time: 0.3410 data_time: 0.0615 loss: 2.0939 03/11 03:47:21 - mmengine - INFO - Epoch(train) [176][ 500/1252] lr: 5.9156e-03 eta: 2 days, 2:43:32 time: 0.3816 data_time: 0.0032 loss: 1.9967 03/11 03:47:55 - mmengine - INFO - Epoch(train) [176][ 600/1252] lr: 5.9156e-03 eta: 2 days, 2:42:57 time: 0.3428 data_time: 0.0029 loss: 2.1250 03/11 03:48:29 - mmengine - INFO - Epoch(train) [176][ 700/1252] lr: 5.9156e-03 eta: 2 days, 2:42:21 time: 0.3920 data_time: 0.0031 loss: 2.1806 03/11 03:49:03 - mmengine - INFO - Epoch(train) [176][ 800/1252] lr: 5.9156e-03 eta: 2 days, 2:41:44 time: 0.2909 data_time: 0.0035 loss: 2.1625 03/11 03:49:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:49:37 - mmengine - INFO - Epoch(train) [176][ 900/1252] lr: 5.9156e-03 eta: 2 days, 2:41:09 time: 0.3690 data_time: 0.0031 loss: 2.0792 03/11 03:50:11 - mmengine - INFO - Epoch(train) [176][1000/1252] lr: 5.9156e-03 eta: 2 days, 2:40:31 time: 0.3086 data_time: 0.0031 loss: 2.1511 03/11 03:50:44 - mmengine - INFO - Epoch(train) [176][1100/1252] lr: 5.9156e-03 eta: 2 days, 2:39:53 time: 0.3563 data_time: 0.0224 loss: 2.2474 03/11 03:51:19 - mmengine - INFO - Epoch(train) [176][1200/1252] lr: 5.9156e-03 eta: 2 days, 2:39:19 time: 0.3892 data_time: 0.0599 loss: 2.1372 03/11 03:51:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:51:35 - mmengine - INFO - Saving checkpoint at 176 epochs 03/11 03:52:01 - mmengine - INFO - Epoch(val) [176][49/49] accuracy/top1: 58.9440 accuracy/top5: 81.5680 03/11 03:52:38 - mmengine - INFO - Epoch(train) [177][ 100/1252] lr: 5.7559e-03 eta: 2 days, 2:38:30 time: 0.3623 data_time: 0.0939 loss: 2.0432 03/11 03:53:11 - mmengine - INFO - Epoch(train) [177][ 200/1252] lr: 5.7559e-03 eta: 2 days, 2:37:52 time: 0.3238 data_time: 0.0448 loss: 1.9894 03/11 03:53:46 - mmengine - INFO - Epoch(train) [177][ 300/1252] lr: 5.7559e-03 eta: 2 days, 2:37:18 time: 0.3667 data_time: 0.2059 loss: 2.1044 03/11 03:54:20 - mmengine - INFO - Epoch(train) [177][ 400/1252] lr: 5.7559e-03 eta: 2 days, 2:36:42 time: 0.3256 data_time: 0.2023 loss: 2.0018 03/11 03:54:54 - mmengine - INFO - Epoch(train) [177][ 500/1252] lr: 5.7559e-03 eta: 2 days, 2:36:06 time: 0.3175 data_time: 0.1396 loss: 2.1987 03/11 03:55:28 - mmengine - INFO - Epoch(train) [177][ 600/1252] lr: 5.7559e-03 eta: 2 days, 2:35:29 time: 0.3565 data_time: 0.0585 loss: 2.2139 03/11 03:55:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:56:02 - mmengine - INFO - Epoch(train) [177][ 700/1252] lr: 5.7559e-03 eta: 2 days, 2:34:55 time: 0.3793 data_time: 0.0070 loss: 2.0620 03/11 03:56:36 - mmengine - INFO - Epoch(train) [177][ 800/1252] lr: 5.7559e-03 eta: 2 days, 2:34:20 time: 0.3442 data_time: 0.0036 loss: 2.0693 03/11 03:57:10 - mmengine - INFO - Epoch(train) [177][ 900/1252] lr: 5.7559e-03 eta: 2 days, 2:33:42 time: 0.3535 data_time: 0.0379 loss: 2.1434 03/11 03:57:44 - mmengine - INFO - Epoch(train) [177][1000/1252] lr: 5.7559e-03 eta: 2 days, 2:33:07 time: 0.3618 data_time: 0.0688 loss: 2.1614 03/11 03:58:17 - mmengine - INFO - Epoch(train) [177][1100/1252] lr: 5.7559e-03 eta: 2 days, 2:32:28 time: 0.3240 data_time: 0.0735 loss: 2.1642 03/11 03:58:52 - mmengine - INFO - Epoch(train) [177][1200/1252] lr: 5.7559e-03 eta: 2 days, 2:31:52 time: 0.3157 data_time: 0.1190 loss: 2.1788 03/11 03:59:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 03:59:09 - mmengine - INFO - Saving checkpoint at 177 epochs 03/11 03:59:35 - mmengine - INFO - Epoch(val) [177][49/49] accuracy/top1: 58.2380 accuracy/top5: 81.3440 03/11 04:00:12 - mmengine - INFO - Epoch(train) [178][ 100/1252] lr: 5.7559e-03 eta: 2 days, 2:31:08 time: 0.3736 data_time: 0.0037 loss: 2.0111 03/11 04:00:46 - mmengine - INFO - Epoch(train) [178][ 200/1252] lr: 5.7559e-03 eta: 2 days, 2:30:30 time: 0.3797 data_time: 0.0031 loss: 2.1387 03/11 04:01:19 - mmengine - INFO - Epoch(train) [178][ 300/1252] lr: 5.7559e-03 eta: 2 days, 2:29:52 time: 0.3202 data_time: 0.0038 loss: 1.9386 03/11 04:01:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:01:54 - mmengine - INFO - Epoch(train) [178][ 400/1252] lr: 5.7559e-03 eta: 2 days, 2:29:20 time: 0.3769 data_time: 0.0039 loss: 2.0512 03/11 04:02:27 - mmengine - INFO - Epoch(train) [178][ 500/1252] lr: 5.7559e-03 eta: 2 days, 2:28:38 time: 0.2906 data_time: 0.0805 loss: 2.1265 03/11 04:03:01 - mmengine - INFO - Epoch(train) [178][ 600/1252] lr: 5.7559e-03 eta: 2 days, 2:28:03 time: 0.3579 data_time: 0.1787 loss: 2.1814 03/11 04:03:35 - mmengine - INFO - Epoch(train) [178][ 700/1252] lr: 5.7559e-03 eta: 2 days, 2:27:26 time: 0.2660 data_time: 0.0039 loss: 2.2224 03/11 04:04:10 - mmengine - INFO - Epoch(train) [178][ 800/1252] lr: 5.7559e-03 eta: 2 days, 2:26:55 time: 0.4079 data_time: 0.0040 loss: 2.2007 03/11 04:04:44 - mmengine - INFO - Epoch(train) [178][ 900/1252] lr: 5.7559e-03 eta: 2 days, 2:26:18 time: 0.2996 data_time: 0.0030 loss: 2.1693 03/11 04:05:18 - mmengine - INFO - Epoch(train) [178][1000/1252] lr: 5.7559e-03 eta: 2 days, 2:25:42 time: 0.3975 data_time: 0.2654 loss: 2.1854 03/11 04:05:52 - mmengine - INFO - Epoch(train) [178][1100/1252] lr: 5.7559e-03 eta: 2 days, 2:25:05 time: 0.3217 data_time: 0.0071 loss: 2.0612 03/11 04:06:26 - mmengine - INFO - Epoch(train) [178][1200/1252] lr: 5.7559e-03 eta: 2 days, 2:24:29 time: 0.2944 data_time: 0.1427 loss: 2.0226 03/11 04:06:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:06:43 - mmengine - INFO - Saving checkpoint at 178 epochs 03/11 04:07:08 - mmengine - INFO - Epoch(val) [178][49/49] accuracy/top1: 55.1960 accuracy/top5: 78.7800 03/11 04:07:45 - mmengine - INFO - Epoch(train) [179][ 100/1252] lr: 5.6004e-03 eta: 2 days, 2:23:40 time: 0.3606 data_time: 0.1603 loss: 2.1883 03/11 04:08:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:08:19 - mmengine - INFO - Epoch(train) [179][ 200/1252] lr: 5.6004e-03 eta: 2 days, 2:23:03 time: 0.2998 data_time: 0.0094 loss: 2.0611 03/11 04:08:53 - mmengine - INFO - Epoch(train) [179][ 300/1252] lr: 5.6004e-03 eta: 2 days, 2:22:28 time: 0.3190 data_time: 0.1982 loss: 2.1792 03/11 04:09:27 - mmengine - INFO - Epoch(train) [179][ 400/1252] lr: 5.6004e-03 eta: 2 days, 2:21:52 time: 0.2954 data_time: 0.0040 loss: 2.0996 03/11 04:10:01 - mmengine - INFO - Epoch(train) [179][ 500/1252] lr: 5.6004e-03 eta: 2 days, 2:21:16 time: 0.3836 data_time: 0.1033 loss: 2.1513 03/11 04:10:35 - mmengine - INFO - Epoch(train) [179][ 600/1252] lr: 5.6004e-03 eta: 2 days, 2:20:41 time: 0.3827 data_time: 0.2131 loss: 2.2700 03/11 04:11:09 - mmengine - INFO - Epoch(train) [179][ 700/1252] lr: 5.6004e-03 eta: 2 days, 2:20:04 time: 0.3439 data_time: 0.0076 loss: 2.1953 03/11 04:11:43 - mmengine - INFO - Epoch(train) [179][ 800/1252] lr: 5.6004e-03 eta: 2 days, 2:19:28 time: 0.3190 data_time: 0.0901 loss: 2.0404 03/11 04:12:17 - mmengine - INFO - Epoch(train) [179][ 900/1252] lr: 5.6004e-03 eta: 2 days, 2:18:50 time: 0.2969 data_time: 0.0032 loss: 2.1282 03/11 04:12:50 - mmengine - INFO - Epoch(train) [179][1000/1252] lr: 5.6004e-03 eta: 2 days, 2:18:12 time: 0.3081 data_time: 0.0421 loss: 2.0926 03/11 04:13:24 - mmengine - INFO - Epoch(train) [179][1100/1252] lr: 5.6004e-03 eta: 2 days, 2:17:37 time: 0.3035 data_time: 0.0478 loss: 2.2423 03/11 04:13:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:13:59 - mmengine - INFO - Epoch(train) [179][1200/1252] lr: 5.6004e-03 eta: 2 days, 2:17:04 time: 0.3383 data_time: 0.1790 loss: 2.0516 03/11 04:14:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:14:15 - mmengine - INFO - Saving checkpoint at 179 epochs 03/11 04:14:42 - mmengine - INFO - Epoch(val) [179][49/49] accuracy/top1: 60.0280 accuracy/top5: 82.5200 03/11 04:15:19 - mmengine - INFO - Epoch(train) [180][ 100/1252] lr: 5.6004e-03 eta: 2 days, 2:16:13 time: 0.3666 data_time: 0.1150 loss: 2.1777 03/11 04:15:53 - mmengine - INFO - Epoch(train) [180][ 200/1252] lr: 5.6004e-03 eta: 2 days, 2:15:38 time: 0.3810 data_time: 0.0035 loss: 2.0820 03/11 04:16:27 - mmengine - INFO - Epoch(train) [180][ 300/1252] lr: 5.6004e-03 eta: 2 days, 2:15:00 time: 0.3490 data_time: 0.0033 loss: 2.1448 03/11 04:17:01 - mmengine - INFO - Epoch(train) [180][ 400/1252] lr: 5.6004e-03 eta: 2 days, 2:14:26 time: 0.3506 data_time: 0.0222 loss: 2.1858 03/11 04:17:35 - mmengine - INFO - Epoch(train) [180][ 500/1252] lr: 5.6004e-03 eta: 2 days, 2:13:49 time: 0.3012 data_time: 0.1812 loss: 2.1439 03/11 04:18:09 - mmengine - INFO - Epoch(train) [180][ 600/1252] lr: 5.6004e-03 eta: 2 days, 2:13:14 time: 0.3320 data_time: 0.0031 loss: 2.1280 03/11 04:18:43 - mmengine - INFO - Epoch(train) [180][ 700/1252] lr: 5.6004e-03 eta: 2 days, 2:12:38 time: 0.3625 data_time: 0.2091 loss: 2.2700 03/11 04:19:17 - mmengine - INFO - Epoch(train) [180][ 800/1252] lr: 5.6004e-03 eta: 2 days, 2:12:00 time: 0.3460 data_time: 0.0109 loss: 2.2484 03/11 04:19:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:19:50 - mmengine - INFO - Epoch(train) [180][ 900/1252] lr: 5.6004e-03 eta: 2 days, 2:11:22 time: 0.3413 data_time: 0.0637 loss: 2.0893 03/11 04:20:24 - mmengine - INFO - Epoch(train) [180][1000/1252] lr: 5.6004e-03 eta: 2 days, 2:10:46 time: 0.3282 data_time: 0.0370 loss: 2.1157 03/11 04:20:59 - mmengine - INFO - Epoch(train) [180][1100/1252] lr: 5.6004e-03 eta: 2 days, 2:10:12 time: 0.3543 data_time: 0.2303 loss: 2.1787 03/11 04:21:32 - mmengine - INFO - Epoch(train) [180][1200/1252] lr: 5.6004e-03 eta: 2 days, 2:09:34 time: 0.3578 data_time: 0.0463 loss: 2.1616 03/11 04:21:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:21:50 - mmengine - INFO - Saving checkpoint at 180 epochs 03/11 04:22:15 - mmengine - INFO - Epoch(val) [180][49/49] accuracy/top1: 59.3740 accuracy/top5: 82.1120 03/11 04:22:53 - mmengine - INFO - Epoch(train) [181][ 100/1252] lr: 5.4492e-03 eta: 2 days, 2:08:51 time: 0.3187 data_time: 0.0040 loss: 2.2203 03/11 04:23:26 - mmengine - INFO - Epoch(train) [181][ 200/1252] lr: 5.4492e-03 eta: 2 days, 2:08:12 time: 0.3207 data_time: 0.0501 loss: 2.1144 03/11 04:24:01 - mmengine - INFO - Epoch(train) [181][ 300/1252] lr: 5.4492e-03 eta: 2 days, 2:07:38 time: 0.3223 data_time: 0.1833 loss: 2.0952 03/11 04:24:34 - mmengine - INFO - Epoch(train) [181][ 400/1252] lr: 5.4492e-03 eta: 2 days, 2:06:59 time: 0.3418 data_time: 0.1595 loss: 2.1602 03/11 04:25:08 - mmengine - INFO - Epoch(train) [181][ 500/1252] lr: 5.4492e-03 eta: 2 days, 2:06:23 time: 0.3310 data_time: 0.0034 loss: 2.1204 03/11 04:25:42 - mmengine - INFO - Epoch(train) [181][ 600/1252] lr: 5.4492e-03 eta: 2 days, 2:05:47 time: 0.3731 data_time: 0.0032 loss: 2.0922 03/11 04:25:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:26:16 - mmengine - INFO - Epoch(train) [181][ 700/1252] lr: 5.4492e-03 eta: 2 days, 2:05:12 time: 0.3713 data_time: 0.2530 loss: 2.1155 03/11 04:26:50 - mmengine - INFO - Epoch(train) [181][ 800/1252] lr: 5.4492e-03 eta: 2 days, 2:04:37 time: 0.3219 data_time: 0.0030 loss: 2.1664 03/11 04:27:24 - mmengine - INFO - Epoch(train) [181][ 900/1252] lr: 5.4492e-03 eta: 2 days, 2:03:59 time: 0.3188 data_time: 0.0044 loss: 2.0991 03/11 04:27:58 - mmengine - INFO - Epoch(train) [181][1000/1252] lr: 5.4492e-03 eta: 2 days, 2:03:22 time: 0.3401 data_time: 0.0030 loss: 2.1384 03/11 04:28:32 - mmengine - INFO - Epoch(train) [181][1100/1252] lr: 5.4492e-03 eta: 2 days, 2:02:46 time: 0.2787 data_time: 0.0038 loss: 2.1412 03/11 04:29:05 - mmengine - INFO - Epoch(train) [181][1200/1252] lr: 5.4492e-03 eta: 2 days, 2:02:09 time: 0.3339 data_time: 0.0031 loss: 2.1010 03/11 04:29:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:29:23 - mmengine - INFO - Saving checkpoint at 181 epochs 03/11 04:29:47 - mmengine - INFO - Epoch(val) [181][49/49] accuracy/top1: 57.7180 accuracy/top5: 80.9480 03/11 04:30:24 - mmengine - INFO - Epoch(train) [182][ 100/1252] lr: 5.4492e-03 eta: 2 days, 2:01:21 time: 0.3017 data_time: 0.1504 loss: 2.0415 03/11 04:30:58 - mmengine - INFO - Epoch(train) [182][ 200/1252] lr: 5.4492e-03 eta: 2 days, 2:00:45 time: 0.3273 data_time: 0.0755 loss: 2.1476 03/11 04:31:32 - mmengine - INFO - Epoch(train) [182][ 300/1252] lr: 5.4492e-03 eta: 2 days, 2:00:10 time: 0.3148 data_time: 0.0106 loss: 2.1380 03/11 04:32:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:32:07 - mmengine - INFO - Epoch(train) [182][ 400/1252] lr: 5.4492e-03 eta: 2 days, 1:59:35 time: 0.3633 data_time: 0.0500 loss: 2.1447 03/11 04:32:41 - mmengine - INFO - Epoch(train) [182][ 500/1252] lr: 5.4492e-03 eta: 2 days, 1:59:00 time: 0.3502 data_time: 0.0036 loss: 2.1508 03/11 04:33:15 - mmengine - INFO - Epoch(train) [182][ 600/1252] lr: 5.4492e-03 eta: 2 days, 1:58:26 time: 0.3578 data_time: 0.2042 loss: 2.1023 03/11 04:33:50 - mmengine - INFO - Epoch(train) [182][ 700/1252] lr: 5.4492e-03 eta: 2 days, 1:57:51 time: 0.2986 data_time: 0.0034 loss: 2.0832 03/11 04:34:23 - mmengine - INFO - Epoch(train) [182][ 800/1252] lr: 5.4492e-03 eta: 2 days, 1:57:11 time: 0.3453 data_time: 0.1402 loss: 2.0902 03/11 04:34:57 - mmengine - INFO - Epoch(train) [182][ 900/1252] lr: 5.4492e-03 eta: 2 days, 1:56:36 time: 0.3509 data_time: 0.1644 loss: 2.1020 03/11 04:35:31 - mmengine - INFO - Epoch(train) [182][1000/1252] lr: 5.4492e-03 eta: 2 days, 1:56:01 time: 0.4171 data_time: 0.0832 loss: 2.1339 03/11 04:36:05 - mmengine - INFO - Epoch(train) [182][1100/1252] lr: 5.4492e-03 eta: 2 days, 1:55:23 time: 0.3051 data_time: 0.0029 loss: 2.0479 03/11 04:36:39 - mmengine - INFO - Epoch(train) [182][1200/1252] lr: 5.4492e-03 eta: 2 days, 1:54:47 time: 0.3652 data_time: 0.0033 loss: 2.2233 03/11 04:36:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:36:56 - mmengine - INFO - Saving checkpoint at 182 epochs 03/11 04:37:22 - mmengine - INFO - Epoch(val) [182][49/49] accuracy/top1: 58.3160 accuracy/top5: 81.2780 03/11 04:37:59 - mmengine - INFO - Epoch(train) [183][ 100/1252] lr: 5.3021e-03 eta: 2 days, 1:54:01 time: 0.3960 data_time: 0.0251 loss: 2.1005 03/11 04:38:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:38:33 - mmengine - INFO - Epoch(train) [183][ 200/1252] lr: 5.3021e-03 eta: 2 days, 1:53:24 time: 0.3713 data_time: 0.0904 loss: 2.0531 03/11 04:39:06 - mmengine - INFO - Epoch(train) [183][ 300/1252] lr: 5.3021e-03 eta: 2 days, 1:52:46 time: 0.3605 data_time: 0.0037 loss: 2.1077 03/11 04:39:41 - mmengine - INFO - Epoch(train) [183][ 400/1252] lr: 5.3021e-03 eta: 2 days, 1:52:11 time: 0.3763 data_time: 0.0315 loss: 2.1130 03/11 04:40:15 - mmengine - INFO - Epoch(train) [183][ 500/1252] lr: 5.3021e-03 eta: 2 days, 1:51:36 time: 0.2958 data_time: 0.0035 loss: 2.1250 03/11 04:40:49 - mmengine - INFO - Epoch(train) [183][ 600/1252] lr: 5.3021e-03 eta: 2 days, 1:51:01 time: 0.3906 data_time: 0.0028 loss: 2.1422 03/11 04:41:22 - mmengine - INFO - Epoch(train) [183][ 700/1252] lr: 5.3021e-03 eta: 2 days, 1:50:23 time: 0.3081 data_time: 0.0184 loss: 2.0258 03/11 04:41:56 - mmengine - INFO - Epoch(train) [183][ 800/1252] lr: 5.3021e-03 eta: 2 days, 1:49:47 time: 0.3401 data_time: 0.0033 loss: 1.9937 03/11 04:42:30 - mmengine - INFO - Epoch(train) [183][ 900/1252] lr: 5.3021e-03 eta: 2 days, 1:49:11 time: 0.3175 data_time: 0.0038 loss: 2.1554 03/11 04:43:05 - mmengine - INFO - Epoch(train) [183][1000/1252] lr: 5.3021e-03 eta: 2 days, 1:48:37 time: 0.4000 data_time: 0.0218 loss: 2.0807 03/11 04:43:38 - mmengine - INFO - Epoch(train) [183][1100/1252] lr: 5.3021e-03 eta: 2 days, 1:47:59 time: 0.3196 data_time: 0.0039 loss: 2.1273 03/11 04:43:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:44:12 - mmengine - INFO - Epoch(train) [183][1200/1252] lr: 5.3021e-03 eta: 2 days, 1:47:21 time: 0.2953 data_time: 0.0042 loss: 2.1153 03/11 04:44:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:44:29 - mmengine - INFO - Saving checkpoint at 183 epochs 03/11 04:44:55 - mmengine - INFO - Epoch(val) [183][49/49] accuracy/top1: 60.6900 accuracy/top5: 82.9140 03/11 04:45:31 - mmengine - INFO - Epoch(train) [184][ 100/1252] lr: 5.3021e-03 eta: 2 days, 1:46:32 time: 0.3406 data_time: 0.0034 loss: 1.9933 03/11 04:46:06 - mmengine - INFO - Epoch(train) [184][ 200/1252] lr: 5.3021e-03 eta: 2 days, 1:45:59 time: 0.4282 data_time: 0.1019 loss: 2.0048 03/11 04:46:40 - mmengine - INFO - Epoch(train) [184][ 300/1252] lr: 5.3021e-03 eta: 2 days, 1:45:24 time: 0.3040 data_time: 0.1720 loss: 2.0246 03/11 04:47:14 - mmengine - INFO - Epoch(train) [184][ 400/1252] lr: 5.3021e-03 eta: 2 days, 1:44:47 time: 0.3506 data_time: 0.0033 loss: 2.1270 03/11 04:47:47 - mmengine - INFO - Epoch(train) [184][ 500/1252] lr: 5.3021e-03 eta: 2 days, 1:44:09 time: 0.3338 data_time: 0.0332 loss: 2.1293 03/11 04:48:21 - mmengine - INFO - Epoch(train) [184][ 600/1252] lr: 5.3021e-03 eta: 2 days, 1:43:32 time: 0.3338 data_time: 0.0030 loss: 2.0338 03/11 04:48:56 - mmengine - INFO - Epoch(train) [184][ 700/1252] lr: 5.3021e-03 eta: 2 days, 1:42:58 time: 0.3524 data_time: 0.0030 loss: 2.1455 03/11 04:49:30 - mmengine - INFO - Epoch(train) [184][ 800/1252] lr: 5.3021e-03 eta: 2 days, 1:42:25 time: 0.3515 data_time: 0.0030 loss: 2.0294 03/11 04:49:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:50:04 - mmengine - INFO - Epoch(train) [184][ 900/1252] lr: 5.3021e-03 eta: 2 days, 1:41:49 time: 0.3013 data_time: 0.0032 loss: 2.0575 03/11 04:50:37 - mmengine - INFO - Epoch(train) [184][1000/1252] lr: 5.3021e-03 eta: 2 days, 1:41:11 time: 0.3003 data_time: 0.0595 loss: 2.0193 03/11 04:51:12 - mmengine - INFO - Epoch(train) [184][1100/1252] lr: 5.3021e-03 eta: 2 days, 1:40:35 time: 0.3271 data_time: 0.0032 loss: 2.0656 03/11 04:51:47 - mmengine - INFO - Epoch(train) [184][1200/1252] lr: 5.3021e-03 eta: 2 days, 1:40:03 time: 0.4310 data_time: 0.0030 loss: 2.1146 03/11 04:52:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:52:03 - mmengine - INFO - Saving checkpoint at 184 epochs 03/11 04:52:29 - mmengine - INFO - Epoch(val) [184][49/49] accuracy/top1: 60.4660 accuracy/top5: 83.1100 03/11 04:53:06 - mmengine - INFO - Epoch(train) [185][ 100/1252] lr: 5.1589e-03 eta: 2 days, 1:39:15 time: 0.4003 data_time: 0.0545 loss: 2.1835 03/11 04:53:40 - mmengine - INFO - Epoch(train) [185][ 200/1252] lr: 5.1589e-03 eta: 2 days, 1:38:37 time: 0.3345 data_time: 0.0414 loss: 2.0884 03/11 04:54:13 - mmengine - INFO - Epoch(train) [185][ 300/1252] lr: 5.1589e-03 eta: 2 days, 1:37:59 time: 0.3116 data_time: 0.0539 loss: 1.9853 03/11 04:54:47 - mmengine - INFO - Epoch(train) [185][ 400/1252] lr: 5.1589e-03 eta: 2 days, 1:37:24 time: 0.3695 data_time: 0.0031 loss: 2.2394 03/11 04:55:21 - mmengine - INFO - Epoch(train) [185][ 500/1252] lr: 5.1589e-03 eta: 2 days, 1:36:48 time: 0.3344 data_time: 0.0031 loss: 2.0452 03/11 04:55:55 - mmengine - INFO - Epoch(train) [185][ 600/1252] lr: 5.1589e-03 eta: 2 days, 1:36:11 time: 0.3270 data_time: 0.2037 loss: 2.2071 03/11 04:56:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:56:29 - mmengine - INFO - Epoch(train) [185][ 700/1252] lr: 5.1589e-03 eta: 2 days, 1:35:36 time: 0.3539 data_time: 0.0574 loss: 2.1606 03/11 04:57:03 - mmengine - INFO - Epoch(train) [185][ 800/1252] lr: 5.1589e-03 eta: 2 days, 1:34:59 time: 0.3216 data_time: 0.0034 loss: 2.1836 03/11 04:57:37 - mmengine - INFO - Epoch(train) [185][ 900/1252] lr: 5.1589e-03 eta: 2 days, 1:34:24 time: 0.3517 data_time: 0.0040 loss: 2.1418 03/11 04:58:11 - mmengine - INFO - Epoch(train) [185][1000/1252] lr: 5.1589e-03 eta: 2 days, 1:33:46 time: 0.3372 data_time: 0.0036 loss: 2.0472 03/11 04:58:45 - mmengine - INFO - Epoch(train) [185][1100/1252] lr: 5.1589e-03 eta: 2 days, 1:33:11 time: 0.3131 data_time: 0.0282 loss: 2.0817 03/11 04:59:19 - mmengine - INFO - Epoch(train) [185][1200/1252] lr: 5.1589e-03 eta: 2 days, 1:32:34 time: 0.3453 data_time: 0.0402 loss: 2.0879 03/11 04:59:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 04:59:36 - mmengine - INFO - Saving checkpoint at 185 epochs 03/11 05:00:02 - mmengine - INFO - Epoch(val) [185][49/49] accuracy/top1: 59.9500 accuracy/top5: 82.2900 03/11 05:00:38 - mmengine - INFO - Epoch(train) [186][ 100/1252] lr: 5.1589e-03 eta: 2 days, 1:31:46 time: 0.3259 data_time: 0.0040 loss: 2.1866 03/11 05:01:13 - mmengine - INFO - Epoch(train) [186][ 200/1252] lr: 5.1589e-03 eta: 2 days, 1:31:12 time: 0.3380 data_time: 0.0035 loss: 2.0922 03/11 05:01:47 - mmengine - INFO - Epoch(train) [186][ 300/1252] lr: 5.1589e-03 eta: 2 days, 1:30:37 time: 0.2960 data_time: 0.0213 loss: 2.1809 03/11 05:02:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:02:21 - mmengine - INFO - Epoch(train) [186][ 400/1252] lr: 5.1589e-03 eta: 2 days, 1:30:02 time: 0.3881 data_time: 0.0682 loss: 2.0369 03/11 05:02:56 - mmengine - INFO - Epoch(train) [186][ 500/1252] lr: 5.1589e-03 eta: 2 days, 1:29:27 time: 0.3168 data_time: 0.0037 loss: 1.9612 03/11 05:03:30 - mmengine - INFO - Epoch(train) [186][ 600/1252] lr: 5.1589e-03 eta: 2 days, 1:28:51 time: 0.3965 data_time: 0.0036 loss: 2.1133 03/11 05:04:04 - mmengine - INFO - Epoch(train) [186][ 700/1252] lr: 5.1589e-03 eta: 2 days, 1:28:16 time: 0.3609 data_time: 0.1090 loss: 2.1142 03/11 05:04:37 - mmengine - INFO - Epoch(train) [186][ 800/1252] lr: 5.1589e-03 eta: 2 days, 1:27:38 time: 0.3257 data_time: 0.0035 loss: 2.0085 03/11 05:05:12 - mmengine - INFO - Epoch(train) [186][ 900/1252] lr: 5.1589e-03 eta: 2 days, 1:27:04 time: 0.3500 data_time: 0.0224 loss: 2.0239 03/11 05:05:46 - mmengine - INFO - Epoch(train) [186][1000/1252] lr: 5.1589e-03 eta: 2 days, 1:26:28 time: 0.3029 data_time: 0.0033 loss: 2.1072 03/11 05:06:19 - mmengine - INFO - Epoch(train) [186][1100/1252] lr: 5.1589e-03 eta: 2 days, 1:25:51 time: 0.2950 data_time: 0.1764 loss: 2.1802 03/11 05:06:54 - mmengine - INFO - Epoch(train) [186][1200/1252] lr: 5.1589e-03 eta: 2 days, 1:25:16 time: 0.2987 data_time: 0.0255 loss: 2.0824 03/11 05:07:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:07:10 - mmengine - INFO - Saving checkpoint at 186 epochs 03/11 05:07:35 - mmengine - INFO - Epoch(val) [186][49/49] accuracy/top1: 57.9960 accuracy/top5: 80.8520 03/11 05:08:11 - mmengine - INFO - Epoch(train) [187][ 100/1252] lr: 5.0197e-03 eta: 2 days, 1:24:25 time: 0.2885 data_time: 0.0036 loss: 2.0108 03/11 05:08:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:08:46 - mmengine - INFO - Epoch(train) [187][ 200/1252] lr: 5.0197e-03 eta: 2 days, 1:23:51 time: 0.3132 data_time: 0.0743 loss: 2.1170 03/11 05:09:19 - mmengine - INFO - Epoch(train) [187][ 300/1252] lr: 5.0197e-03 eta: 2 days, 1:23:14 time: 0.2943 data_time: 0.0933 loss: 2.0355 03/11 05:09:53 - mmengine - INFO - Epoch(train) [187][ 400/1252] lr: 5.0197e-03 eta: 2 days, 1:22:37 time: 0.3383 data_time: 0.1077 loss: 2.2586 03/11 05:10:27 - mmengine - INFO - Epoch(train) [187][ 500/1252] lr: 5.0197e-03 eta: 2 days, 1:22:00 time: 0.3097 data_time: 0.0032 loss: 2.0480 03/11 05:11:01 - mmengine - INFO - Epoch(train) [187][ 600/1252] lr: 5.0197e-03 eta: 2 days, 1:21:24 time: 0.3448 data_time: 0.1195 loss: 2.1583 03/11 05:11:35 - mmengine - INFO - Epoch(train) [187][ 700/1252] lr: 5.0197e-03 eta: 2 days, 1:20:50 time: 0.3692 data_time: 0.2322 loss: 2.1171 03/11 05:12:08 - mmengine - INFO - Epoch(train) [187][ 800/1252] lr: 5.0197e-03 eta: 2 days, 1:20:11 time: 0.3276 data_time: 0.0030 loss: 2.1266 03/11 05:12:43 - mmengine - INFO - Epoch(train) [187][ 900/1252] lr: 5.0197e-03 eta: 2 days, 1:19:37 time: 0.3201 data_time: 0.0038 loss: 2.0619 03/11 05:13:17 - mmengine - INFO - Epoch(train) [187][1000/1252] lr: 5.0197e-03 eta: 2 days, 1:19:02 time: 0.3719 data_time: 0.0033 loss: 2.1044 03/11 05:13:51 - mmengine - INFO - Epoch(train) [187][1100/1252] lr: 5.0197e-03 eta: 2 days, 1:18:27 time: 0.3106 data_time: 0.0039 loss: 2.1703 03/11 05:14:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:14:25 - mmengine - INFO - Epoch(train) [187][1200/1252] lr: 5.0197e-03 eta: 2 days, 1:17:50 time: 0.3197 data_time: 0.0902 loss: 2.0424 03/11 05:14:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:14:42 - mmengine - INFO - Saving checkpoint at 187 epochs 03/11 05:15:06 - mmengine - INFO - Epoch(val) [187][49/49] accuracy/top1: 56.7420 accuracy/top5: 79.8720 03/11 05:15:42 - mmengine - INFO - Epoch(train) [188][ 100/1252] lr: 5.0197e-03 eta: 2 days, 1:16:58 time: 0.3228 data_time: 0.0038 loss: 2.0251 03/11 05:16:17 - mmengine - INFO - Epoch(train) [188][ 200/1252] lr: 5.0197e-03 eta: 2 days, 1:16:26 time: 0.3652 data_time: 0.0034 loss: 2.1062 03/11 05:16:50 - mmengine - INFO - Epoch(train) [188][ 300/1252] lr: 5.0197e-03 eta: 2 days, 1:15:49 time: 0.3367 data_time: 0.0031 loss: 2.0867 03/11 05:17:24 - mmengine - INFO - Epoch(train) [188][ 400/1252] lr: 5.0197e-03 eta: 2 days, 1:15:12 time: 0.2879 data_time: 0.1637 loss: 2.0026 03/11 05:17:58 - mmengine - INFO - Epoch(train) [188][ 500/1252] lr: 5.0197e-03 eta: 2 days, 1:14:38 time: 0.3389 data_time: 0.0044 loss: 2.0654 03/11 05:18:32 - mmengine - INFO - Epoch(train) [188][ 600/1252] lr: 5.0197e-03 eta: 2 days, 1:14:02 time: 0.3914 data_time: 0.0030 loss: 1.9742 03/11 05:19:06 - mmengine - INFO - Epoch(train) [188][ 700/1252] lr: 5.0197e-03 eta: 2 days, 1:13:25 time: 0.4000 data_time: 0.1049 loss: 2.0844 03/11 05:19:39 - mmengine - INFO - Epoch(train) [188][ 800/1252] lr: 5.0197e-03 eta: 2 days, 1:12:46 time: 0.3369 data_time: 0.0033 loss: 2.1712 03/11 05:20:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:20:14 - mmengine - INFO - Epoch(train) [188][ 900/1252] lr: 5.0197e-03 eta: 2 days, 1:12:13 time: 0.3436 data_time: 0.0032 loss: 2.1240 03/11 05:20:47 - mmengine - INFO - Epoch(train) [188][1000/1252] lr: 5.0197e-03 eta: 2 days, 1:11:35 time: 0.3520 data_time: 0.0033 loss: 2.1100 03/11 05:21:22 - mmengine - INFO - Epoch(train) [188][1100/1252] lr: 5.0197e-03 eta: 2 days, 1:11:00 time: 0.3422 data_time: 0.1299 loss: 2.0684 03/11 05:21:55 - mmengine - INFO - Epoch(train) [188][1200/1252] lr: 5.0197e-03 eta: 2 days, 1:10:23 time: 0.3044 data_time: 0.0035 loss: 2.1080 03/11 05:22:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:22:13 - mmengine - INFO - Saving checkpoint at 188 epochs 03/11 05:22:36 - mmengine - INFO - Epoch(val) [188][49/49] accuracy/top1: 60.2220 accuracy/top5: 82.7780 03/11 05:23:13 - mmengine - INFO - Epoch(train) [189][ 100/1252] lr: 4.8841e-03 eta: 2 days, 1:09:35 time: 0.3707 data_time: 0.0041 loss: 2.1057 03/11 05:23:47 - mmengine - INFO - Epoch(train) [189][ 200/1252] lr: 4.8841e-03 eta: 2 days, 1:09:00 time: 0.3206 data_time: 0.0044 loss: 2.0211 03/11 05:24:21 - mmengine - INFO - Epoch(train) [189][ 300/1252] lr: 4.8841e-03 eta: 2 days, 1:08:24 time: 0.3644 data_time: 0.2107 loss: 2.0522 03/11 05:24:55 - mmengine - INFO - Epoch(train) [189][ 400/1252] lr: 4.8841e-03 eta: 2 days, 1:07:49 time: 0.3486 data_time: 0.0863 loss: 1.9988 03/11 05:25:28 - mmengine - INFO - Epoch(train) [189][ 500/1252] lr: 4.8841e-03 eta: 2 days, 1:07:09 time: 0.2981 data_time: 0.1765 loss: 1.9914 03/11 05:26:03 - mmengine - INFO - Epoch(train) [189][ 600/1252] lr: 4.8841e-03 eta: 2 days, 1:06:36 time: 0.3492 data_time: 0.0033 loss: 2.1068 03/11 05:26:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:26:37 - mmengine - INFO - Epoch(train) [189][ 700/1252] lr: 4.8841e-03 eta: 2 days, 1:06:01 time: 0.3220 data_time: 0.0038 loss: 2.1231 03/11 05:27:10 - mmengine - INFO - Epoch(train) [189][ 800/1252] lr: 4.8841e-03 eta: 2 days, 1:05:23 time: 0.3572 data_time: 0.0040 loss: 2.0400 03/11 05:27:44 - mmengine - INFO - Epoch(train) [189][ 900/1252] lr: 4.8841e-03 eta: 2 days, 1:04:46 time: 0.2777 data_time: 0.0035 loss: 2.0690 03/11 05:28:19 - mmengine - INFO - Epoch(train) [189][1000/1252] lr: 4.8841e-03 eta: 2 days, 1:04:13 time: 0.3580 data_time: 0.0305 loss: 2.0125 03/11 05:28:53 - mmengine - INFO - Epoch(train) [189][1100/1252] lr: 4.8841e-03 eta: 2 days, 1:03:38 time: 0.3804 data_time: 0.2216 loss: 2.0355 03/11 05:29:27 - mmengine - INFO - Epoch(train) [189][1200/1252] lr: 4.8841e-03 eta: 2 days, 1:03:02 time: 0.3599 data_time: 0.0032 loss: 2.1628 03/11 05:29:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:29:44 - mmengine - INFO - Saving checkpoint at 189 epochs 03/11 05:30:09 - mmengine - INFO - Epoch(val) [189][49/49] accuracy/top1: 61.4160 accuracy/top5: 83.3760 03/11 05:30:46 - mmengine - INFO - Epoch(train) [190][ 100/1252] lr: 4.8841e-03 eta: 2 days, 1:02:14 time: 0.3560 data_time: 0.0323 loss: 2.1772 03/11 05:31:20 - mmengine - INFO - Epoch(train) [190][ 200/1252] lr: 4.8841e-03 eta: 2 days, 1:01:38 time: 0.3414 data_time: 0.0037 loss: 2.0356 03/11 05:31:53 - mmengine - INFO - Epoch(train) [190][ 300/1252] lr: 4.8841e-03 eta: 2 days, 1:01:01 time: 0.2981 data_time: 0.0035 loss: 1.9939 03/11 05:32:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:32:27 - mmengine - INFO - Epoch(train) [190][ 400/1252] lr: 4.8841e-03 eta: 2 days, 1:00:25 time: 0.3322 data_time: 0.0034 loss: 2.1252 03/11 05:33:01 - mmengine - INFO - Epoch(train) [190][ 500/1252] lr: 4.8841e-03 eta: 2 days, 0:59:48 time: 0.3462 data_time: 0.0459 loss: 2.1162 03/11 05:33:35 - mmengine - INFO - Epoch(train) [190][ 600/1252] lr: 4.8841e-03 eta: 2 days, 0:59:11 time: 0.2881 data_time: 0.0039 loss: 1.9628 03/11 05:34:09 - mmengine - INFO - Epoch(train) [190][ 700/1252] lr: 4.8841e-03 eta: 2 days, 0:58:35 time: 0.2971 data_time: 0.0038 loss: 2.1580 03/11 05:34:43 - mmengine - INFO - Epoch(train) [190][ 800/1252] lr: 4.8841e-03 eta: 2 days, 0:58:00 time: 0.3335 data_time: 0.0039 loss: 2.0759 03/11 05:35:17 - mmengine - INFO - Epoch(train) [190][ 900/1252] lr: 4.8841e-03 eta: 2 days, 0:57:23 time: 0.2955 data_time: 0.0459 loss: 2.0299 03/11 05:35:51 - mmengine - INFO - Epoch(train) [190][1000/1252] lr: 4.8841e-03 eta: 2 days, 0:56:48 time: 0.3805 data_time: 0.0033 loss: 2.1733 03/11 05:36:25 - mmengine - INFO - Epoch(train) [190][1100/1252] lr: 4.8841e-03 eta: 2 days, 0:56:15 time: 0.3138 data_time: 0.0030 loss: 1.9830 03/11 05:36:59 - mmengine - INFO - Epoch(train) [190][1200/1252] lr: 4.8841e-03 eta: 2 days, 0:55:37 time: 0.3758 data_time: 0.0258 loss: 2.1533 03/11 05:37:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:37:16 - mmengine - INFO - Saving checkpoint at 190 epochs 03/11 05:37:42 - mmengine - INFO - Epoch(val) [190][49/49] accuracy/top1: 57.8160 accuracy/top5: 80.6900 03/11 05:38:19 - mmengine - INFO - Epoch(train) [191][ 100/1252] lr: 4.7523e-03 eta: 2 days, 0:54:49 time: 0.3339 data_time: 0.1517 loss: 1.9674 03/11 05:38:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:38:53 - mmengine - INFO - Epoch(train) [191][ 200/1252] lr: 4.7523e-03 eta: 2 days, 0:54:16 time: 0.3734 data_time: 0.1934 loss: 2.0874 03/11 05:39:28 - mmengine - INFO - Epoch(train) [191][ 300/1252] lr: 4.7523e-03 eta: 2 days, 0:53:41 time: 0.3392 data_time: 0.0032 loss: 2.0382 03/11 05:40:03 - mmengine - INFO - Epoch(train) [191][ 400/1252] lr: 4.7523e-03 eta: 2 days, 0:53:08 time: 0.3622 data_time: 0.1513 loss: 2.0462 03/11 05:40:35 - mmengine - INFO - Epoch(train) [191][ 500/1252] lr: 4.7523e-03 eta: 2 days, 0:52:28 time: 0.2580 data_time: 0.0254 loss: 2.0213 03/11 05:41:10 - mmengine - INFO - Epoch(train) [191][ 600/1252] lr: 4.7523e-03 eta: 2 days, 0:51:54 time: 0.3506 data_time: 0.0039 loss: 2.0896 03/11 05:41:43 - mmengine - INFO - Epoch(train) [191][ 700/1252] lr: 4.7523e-03 eta: 2 days, 0:51:16 time: 0.3592 data_time: 0.2007 loss: 2.1329 03/11 05:42:17 - mmengine - INFO - Epoch(train) [191][ 800/1252] lr: 4.7523e-03 eta: 2 days, 0:50:40 time: 0.3338 data_time: 0.1525 loss: 2.0749 03/11 05:42:52 - mmengine - INFO - Epoch(train) [191][ 900/1252] lr: 4.7523e-03 eta: 2 days, 0:50:06 time: 0.3734 data_time: 0.0033 loss: 2.0563 03/11 05:43:26 - mmengine - INFO - Epoch(train) [191][1000/1252] lr: 4.7523e-03 eta: 2 days, 0:49:31 time: 0.3425 data_time: 0.0032 loss: 2.1027 03/11 05:43:59 - mmengine - INFO - Epoch(train) [191][1100/1252] lr: 4.7523e-03 eta: 2 days, 0:48:52 time: 0.2819 data_time: 0.0042 loss: 2.2309 03/11 05:44:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:44:34 - mmengine - INFO - Epoch(train) [191][1200/1252] lr: 4.7523e-03 eta: 2 days, 0:48:19 time: 0.4030 data_time: 0.0032 loss: 2.0514 03/11 05:44:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:44:50 - mmengine - INFO - Saving checkpoint at 191 epochs 03/11 05:45:15 - mmengine - INFO - Epoch(val) [191][49/49] accuracy/top1: 59.0500 accuracy/top5: 81.5280 03/11 05:45:51 - mmengine - INFO - Epoch(train) [192][ 100/1252] lr: 4.7523e-03 eta: 2 days, 0:47:28 time: 0.2988 data_time: 0.0036 loss: 2.0624 03/11 05:46:26 - mmengine - INFO - Epoch(train) [192][ 200/1252] lr: 4.7523e-03 eta: 2 days, 0:46:53 time: 0.3690 data_time: 0.0041 loss: 2.0742 03/11 05:47:00 - mmengine - INFO - Epoch(train) [192][ 300/1252] lr: 4.7523e-03 eta: 2 days, 0:46:17 time: 0.3351 data_time: 0.0294 loss: 2.0988 03/11 05:47:34 - mmengine - INFO - Epoch(train) [192][ 400/1252] lr: 4.7523e-03 eta: 2 days, 0:45:42 time: 0.3547 data_time: 0.1093 loss: 1.9723 03/11 05:48:07 - mmengine - INFO - Epoch(train) [192][ 500/1252] lr: 4.7523e-03 eta: 2 days, 0:45:05 time: 0.3693 data_time: 0.1240 loss: 2.3164 03/11 05:48:42 - mmengine - INFO - Epoch(train) [192][ 600/1252] lr: 4.7523e-03 eta: 2 days, 0:44:30 time: 0.3406 data_time: 0.0746 loss: 2.1454 03/11 05:49:16 - mmengine - INFO - Epoch(train) [192][ 700/1252] lr: 4.7523e-03 eta: 2 days, 0:43:55 time: 0.3307 data_time: 0.0032 loss: 2.1493 03/11 05:49:50 - mmengine - INFO - Epoch(train) [192][ 800/1252] lr: 4.7523e-03 eta: 2 days, 0:43:18 time: 0.3200 data_time: 0.1286 loss: 2.1035 03/11 05:50:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:50:24 - mmengine - INFO - Epoch(train) [192][ 900/1252] lr: 4.7523e-03 eta: 2 days, 0:42:44 time: 0.3251 data_time: 0.0035 loss: 2.1254 03/11 05:50:59 - mmengine - INFO - Epoch(train) [192][1000/1252] lr: 4.7523e-03 eta: 2 days, 0:42:11 time: 0.3536 data_time: 0.0028 loss: 2.2251 03/11 05:51:32 - mmengine - INFO - Epoch(train) [192][1100/1252] lr: 4.7523e-03 eta: 2 days, 0:41:32 time: 0.3518 data_time: 0.2098 loss: 2.1551 03/11 05:52:06 - mmengine - INFO - Epoch(train) [192][1200/1252] lr: 4.7523e-03 eta: 2 days, 0:40:57 time: 0.3702 data_time: 0.0384 loss: 2.1669 03/11 05:52:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:52:23 - mmengine - INFO - Saving checkpoint at 192 epochs 03/11 05:52:49 - mmengine - INFO - Epoch(val) [192][49/49] accuracy/top1: 59.9140 accuracy/top5: 82.5640 03/11 05:53:26 - mmengine - INFO - Epoch(train) [193][ 100/1252] lr: 4.6239e-03 eta: 2 days, 0:40:08 time: 0.3502 data_time: 0.0033 loss: 1.9377 03/11 05:54:01 - mmengine - INFO - Epoch(train) [193][ 200/1252] lr: 4.6239e-03 eta: 2 days, 0:39:35 time: 0.3627 data_time: 0.0302 loss: 2.0978 03/11 05:54:34 - mmengine - INFO - Epoch(train) [193][ 300/1252] lr: 4.6239e-03 eta: 2 days, 0:38:57 time: 0.2706 data_time: 0.0141 loss: 2.1067 03/11 05:55:08 - mmengine - INFO - Epoch(train) [193][ 400/1252] lr: 4.6239e-03 eta: 2 days, 0:38:21 time: 0.3051 data_time: 0.0040 loss: 2.0235 03/11 05:55:42 - mmengine - INFO - Epoch(train) [193][ 500/1252] lr: 4.6239e-03 eta: 2 days, 0:37:45 time: 0.2950 data_time: 0.0607 loss: 2.0166 03/11 05:56:15 - mmengine - INFO - Epoch(train) [193][ 600/1252] lr: 4.6239e-03 eta: 2 days, 0:37:08 time: 0.3130 data_time: 0.0915 loss: 2.0557 03/11 05:56:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:56:50 - mmengine - INFO - Epoch(train) [193][ 700/1252] lr: 4.6239e-03 eta: 2 days, 0:36:35 time: 0.3203 data_time: 0.1747 loss: 2.2048 03/11 05:57:24 - mmengine - INFO - Epoch(train) [193][ 800/1252] lr: 4.6239e-03 eta: 2 days, 0:35:58 time: 0.3230 data_time: 0.0034 loss: 2.0696 03/11 05:57:59 - mmengine - INFO - Epoch(train) [193][ 900/1252] lr: 4.6239e-03 eta: 2 days, 0:35:25 time: 0.3438 data_time: 0.0035 loss: 1.9987 03/11 05:58:33 - mmengine - INFO - Epoch(train) [193][1000/1252] lr: 4.6239e-03 eta: 2 days, 0:34:49 time: 0.2879 data_time: 0.0033 loss: 1.9940 03/11 05:59:06 - mmengine - INFO - Epoch(train) [193][1100/1252] lr: 4.6239e-03 eta: 2 days, 0:34:13 time: 0.3748 data_time: 0.0811 loss: 2.0217 03/11 05:59:40 - mmengine - INFO - Epoch(train) [193][1200/1252] lr: 4.6239e-03 eta: 2 days, 0:33:37 time: 0.3629 data_time: 0.0247 loss: 2.1592 03/11 05:59:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 05:59:57 - mmengine - INFO - Saving checkpoint at 193 epochs 03/11 06:00:24 - mmengine - INFO - Epoch(val) [193][49/49] accuracy/top1: 58.7760 accuracy/top5: 81.4100 03/11 06:01:01 - mmengine - INFO - Epoch(train) [194][ 100/1252] lr: 4.6239e-03 eta: 2 days, 0:32:50 time: 0.3466 data_time: 0.0040 loss: 1.9662 03/11 06:01:35 - mmengine - INFO - Epoch(train) [194][ 200/1252] lr: 4.6239e-03 eta: 2 days, 0:32:13 time: 0.3480 data_time: 0.0032 loss: 2.1550 03/11 06:02:09 - mmengine - INFO - Epoch(train) [194][ 300/1252] lr: 4.6239e-03 eta: 2 days, 0:31:39 time: 0.3461 data_time: 0.0468 loss: 2.1151 03/11 06:02:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:02:43 - mmengine - INFO - Epoch(train) [194][ 400/1252] lr: 4.6239e-03 eta: 2 days, 0:31:02 time: 0.3218 data_time: 0.0037 loss: 2.0064 03/11 06:03:17 - mmengine - INFO - Epoch(train) [194][ 500/1252] lr: 4.6239e-03 eta: 2 days, 0:30:28 time: 0.2846 data_time: 0.1606 loss: 1.9673 03/11 06:03:51 - mmengine - INFO - Epoch(train) [194][ 600/1252] lr: 4.6239e-03 eta: 2 days, 0:29:51 time: 0.3361 data_time: 0.0815 loss: 2.0463 03/11 06:04:25 - mmengine - INFO - Epoch(train) [194][ 700/1252] lr: 4.6239e-03 eta: 2 days, 0:29:15 time: 0.3251 data_time: 0.0035 loss: 2.1058 03/11 06:04:59 - mmengine - INFO - Epoch(train) [194][ 800/1252] lr: 4.6239e-03 eta: 2 days, 0:28:40 time: 0.3312 data_time: 0.0032 loss: 2.0306 03/11 06:05:34 - mmengine - INFO - Epoch(train) [194][ 900/1252] lr: 4.6239e-03 eta: 2 days, 0:28:07 time: 0.3149 data_time: 0.0036 loss: 2.0551 03/11 06:06:07 - mmengine - INFO - Epoch(train) [194][1000/1252] lr: 4.6239e-03 eta: 2 days, 0:27:30 time: 0.3776 data_time: 0.0216 loss: 2.0264 03/11 06:06:41 - mmengine - INFO - Epoch(train) [194][1100/1252] lr: 4.6239e-03 eta: 2 days, 0:26:53 time: 0.3303 data_time: 0.0036 loss: 2.0742 03/11 06:07:15 - mmengine - INFO - Epoch(train) [194][1200/1252] lr: 4.6239e-03 eta: 2 days, 0:26:19 time: 0.3351 data_time: 0.0033 loss: 2.0600 03/11 06:07:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:07:32 - mmengine - INFO - Saving checkpoint at 194 epochs 03/11 06:07:57 - mmengine - INFO - Epoch(val) [194][49/49] accuracy/top1: 58.9320 accuracy/top5: 81.6500 03/11 06:08:34 - mmengine - INFO - Epoch(train) [195][ 100/1252] lr: 4.4991e-03 eta: 2 days, 0:25:30 time: 0.3068 data_time: 0.0041 loss: 2.0909 03/11 06:08:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:09:08 - mmengine - INFO - Epoch(train) [195][ 200/1252] lr: 4.4991e-03 eta: 2 days, 0:24:56 time: 0.3544 data_time: 0.0034 loss: 2.1725 03/11 06:09:42 - mmengine - INFO - Epoch(train) [195][ 300/1252] lr: 4.4991e-03 eta: 2 days, 0:24:20 time: 0.3538 data_time: 0.1462 loss: 1.9646 03/11 06:10:16 - mmengine - INFO - Epoch(train) [195][ 400/1252] lr: 4.4991e-03 eta: 2 days, 0:23:43 time: 0.2846 data_time: 0.0856 loss: 2.1693 03/11 06:10:51 - mmengine - INFO - Epoch(train) [195][ 500/1252] lr: 4.4991e-03 eta: 2 days, 0:23:10 time: 0.3281 data_time: 0.0036 loss: 2.0578 03/11 06:11:24 - mmengine - INFO - Epoch(train) [195][ 600/1252] lr: 4.4991e-03 eta: 2 days, 0:22:33 time: 0.3337 data_time: 0.0032 loss: 2.0436 03/11 06:11:59 - mmengine - INFO - Epoch(train) [195][ 700/1252] lr: 4.4991e-03 eta: 2 days, 0:22:00 time: 0.3249 data_time: 0.0817 loss: 2.1645 03/11 06:12:32 - mmengine - INFO - Epoch(train) [195][ 800/1252] lr: 4.4991e-03 eta: 2 days, 0:21:22 time: 0.3414 data_time: 0.0034 loss: 2.0768 03/11 06:13:07 - mmengine - INFO - Epoch(train) [195][ 900/1252] lr: 4.4991e-03 eta: 2 days, 0:20:48 time: 0.3213 data_time: 0.0033 loss: 2.0155 03/11 06:13:40 - mmengine - INFO - Epoch(train) [195][1000/1252] lr: 4.4991e-03 eta: 2 days, 0:20:11 time: 0.3243 data_time: 0.0054 loss: 2.0213 03/11 06:14:14 - mmengine - INFO - Epoch(train) [195][1100/1252] lr: 4.4991e-03 eta: 2 days, 0:19:34 time: 0.3044 data_time: 0.1121 loss: 2.1717 03/11 06:14:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:14:48 - mmengine - INFO - Epoch(train) [195][1200/1252] lr: 4.4991e-03 eta: 2 days, 0:18:59 time: 0.3544 data_time: 0.0033 loss: 2.1237 03/11 06:15:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:15:05 - mmengine - INFO - Saving checkpoint at 195 epochs 03/11 06:15:31 - mmengine - INFO - Epoch(val) [195][49/49] accuracy/top1: 59.6500 accuracy/top5: 81.8600 03/11 06:16:08 - mmengine - INFO - Epoch(train) [196][ 100/1252] lr: 4.4991e-03 eta: 2 days, 0:18:10 time: 0.3635 data_time: 0.0037 loss: 2.0048 03/11 06:16:42 - mmengine - INFO - Epoch(train) [196][ 200/1252] lr: 4.4991e-03 eta: 2 days, 0:17:34 time: 0.3551 data_time: 0.0239 loss: 2.0266 03/11 06:17:15 - mmengine - INFO - Epoch(train) [196][ 300/1252] lr: 4.4991e-03 eta: 2 days, 0:16:58 time: 0.3662 data_time: 0.0538 loss: 2.0751 03/11 06:17:50 - mmengine - INFO - Epoch(train) [196][ 400/1252] lr: 4.4991e-03 eta: 2 days, 0:16:25 time: 0.3587 data_time: 0.0035 loss: 2.1385 03/11 06:18:25 - mmengine - INFO - Epoch(train) [196][ 500/1252] lr: 4.4991e-03 eta: 2 days, 0:15:50 time: 0.3990 data_time: 0.0039 loss: 2.1573 03/11 06:18:57 - mmengine - INFO - Epoch(train) [196][ 600/1252] lr: 4.4991e-03 eta: 2 days, 0:15:10 time: 0.3464 data_time: 0.0669 loss: 2.0706 03/11 06:19:32 - mmengine - INFO - Epoch(train) [196][ 700/1252] lr: 4.4991e-03 eta: 2 days, 0:14:36 time: 0.3785 data_time: 0.0029 loss: 2.1678 03/11 06:20:06 - mmengine - INFO - Epoch(train) [196][ 800/1252] lr: 4.4991e-03 eta: 2 days, 0:14:00 time: 0.3128 data_time: 0.1081 loss: 2.1230 03/11 06:20:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:20:39 - mmengine - INFO - Epoch(train) [196][ 900/1252] lr: 4.4991e-03 eta: 2 days, 0:13:23 time: 0.3581 data_time: 0.0031 loss: 2.0002 03/11 06:21:13 - mmengine - INFO - Epoch(train) [196][1000/1252] lr: 4.4991e-03 eta: 2 days, 0:12:46 time: 0.3261 data_time: 0.0033 loss: 2.1353 03/11 06:21:47 - mmengine - INFO - Epoch(train) [196][1100/1252] lr: 4.4991e-03 eta: 2 days, 0:12:10 time: 0.3779 data_time: 0.1242 loss: 2.1052 03/11 06:22:21 - mmengine - INFO - Epoch(train) [196][1200/1252] lr: 4.4991e-03 eta: 2 days, 0:11:35 time: 0.3748 data_time: 0.1008 loss: 2.0013 03/11 06:22:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:22:37 - mmengine - INFO - Saving checkpoint at 196 epochs 03/11 06:23:01 - mmengine - INFO - Epoch(val) [196][49/49] accuracy/top1: 57.8800 accuracy/top5: 80.5720 03/11 06:23:38 - mmengine - INFO - Epoch(train) [197][ 100/1252] lr: 4.3776e-03 eta: 2 days, 0:10:45 time: 0.3372 data_time: 0.0042 loss: 2.0273 03/11 06:24:12 - mmengine - INFO - Epoch(train) [197][ 200/1252] lr: 4.3776e-03 eta: 2 days, 0:10:09 time: 0.3545 data_time: 0.0523 loss: 1.9869 03/11 06:24:46 - mmengine - INFO - Epoch(train) [197][ 300/1252] lr: 4.3776e-03 eta: 2 days, 0:09:32 time: 0.2988 data_time: 0.0771 loss: 2.0917 03/11 06:25:20 - mmengine - INFO - Epoch(train) [197][ 400/1252] lr: 4.3776e-03 eta: 2 days, 0:08:59 time: 0.3564 data_time: 0.0064 loss: 2.0445 03/11 06:25:54 - mmengine - INFO - Epoch(train) [197][ 500/1252] lr: 4.3776e-03 eta: 2 days, 0:08:21 time: 0.3105 data_time: 0.0521 loss: 2.1551 03/11 06:26:27 - mmengine - INFO - Epoch(train) [197][ 600/1252] lr: 4.3776e-03 eta: 2 days, 0:07:45 time: 0.2885 data_time: 0.1224 loss: 2.0227 03/11 06:26:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:27:02 - mmengine - INFO - Epoch(train) [197][ 700/1252] lr: 4.3776e-03 eta: 2 days, 0:07:11 time: 0.3739 data_time: 0.0031 loss: 2.1043 03/11 06:27:36 - mmengine - INFO - Epoch(train) [197][ 800/1252] lr: 4.3776e-03 eta: 2 days, 0:06:35 time: 0.3173 data_time: 0.1794 loss: 1.9259 03/11 06:28:10 - mmengine - INFO - Epoch(train) [197][ 900/1252] lr: 4.3776e-03 eta: 2 days, 0:05:58 time: 0.2903 data_time: 0.0243 loss: 2.1923 03/11 06:28:44 - mmengine - INFO - Epoch(train) [197][1000/1252] lr: 4.3776e-03 eta: 2 days, 0:05:23 time: 0.2842 data_time: 0.0223 loss: 2.0000 03/11 06:29:18 - mmengine - INFO - Epoch(train) [197][1100/1252] lr: 4.3776e-03 eta: 2 days, 0:04:49 time: 0.3241 data_time: 0.1935 loss: 2.2214 03/11 06:29:52 - mmengine - INFO - Epoch(train) [197][1200/1252] lr: 4.3776e-03 eta: 2 days, 0:04:13 time: 0.3157 data_time: 0.1758 loss: 2.1839 03/11 06:30:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:30:09 - mmengine - INFO - Saving checkpoint at 197 epochs 03/11 06:30:35 - mmengine - INFO - Epoch(val) [197][49/49] accuracy/top1: 59.6340 accuracy/top5: 81.9040 03/11 06:31:11 - mmengine - INFO - Epoch(train) [198][ 100/1252] lr: 4.3776e-03 eta: 2 days, 0:03:23 time: 0.3491 data_time: 0.0041 loss: 1.9630 03/11 06:31:46 - mmengine - INFO - Epoch(train) [198][ 200/1252] lr: 4.3776e-03 eta: 2 days, 0:02:49 time: 0.3013 data_time: 0.0031 loss: 2.0035 03/11 06:32:20 - mmengine - INFO - Epoch(train) [198][ 300/1252] lr: 4.3776e-03 eta: 2 days, 0:02:14 time: 0.3382 data_time: 0.2185 loss: 1.9738 03/11 06:32:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:32:54 - mmengine - INFO - Epoch(train) [198][ 400/1252] lr: 4.3776e-03 eta: 2 days, 0:01:38 time: 0.2985 data_time: 0.1642 loss: 2.0402 03/11 06:33:29 - mmengine - INFO - Epoch(train) [198][ 500/1252] lr: 4.3776e-03 eta: 2 days, 0:01:05 time: 0.3742 data_time: 0.2644 loss: 2.1919 03/11 06:34:03 - mmengine - INFO - Epoch(train) [198][ 600/1252] lr: 4.3776e-03 eta: 2 days, 0:00:29 time: 0.3969 data_time: 0.1326 loss: 2.0882 03/11 06:34:36 - mmengine - INFO - Epoch(train) [198][ 700/1252] lr: 4.3776e-03 eta: 1 day, 23:59:51 time: 0.3219 data_time: 0.0032 loss: 2.0770 03/11 06:35:10 - mmengine - INFO - Epoch(train) [198][ 800/1252] lr: 4.3776e-03 eta: 1 day, 23:59:16 time: 0.3527 data_time: 0.0942 loss: 2.0600 03/11 06:35:44 - mmengine - INFO - Epoch(train) [198][ 900/1252] lr: 4.3776e-03 eta: 1 day, 23:58:40 time: 0.3370 data_time: 0.0889 loss: 2.1000 03/11 06:36:18 - mmengine - INFO - Epoch(train) [198][1000/1252] lr: 4.3776e-03 eta: 1 day, 23:58:05 time: 0.3671 data_time: 0.0055 loss: 2.1587 03/11 06:36:52 - mmengine - INFO - Epoch(train) [198][1100/1252] lr: 4.3776e-03 eta: 1 day, 23:57:30 time: 0.3068 data_time: 0.0035 loss: 2.1669 03/11 06:37:25 - mmengine - INFO - Epoch(train) [198][1200/1252] lr: 4.3776e-03 eta: 1 day, 23:56:52 time: 0.3029 data_time: 0.0035 loss: 2.1028 03/11 06:37:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:37:42 - mmengine - INFO - Saving checkpoint at 198 epochs 03/11 06:38:08 - mmengine - INFO - Epoch(val) [198][49/49] accuracy/top1: 58.3280 accuracy/top5: 81.2700 03/11 06:38:45 - mmengine - INFO - Epoch(train) [199][ 100/1252] lr: 4.2594e-03 eta: 1 day, 23:56:04 time: 0.3562 data_time: 0.0933 loss: 1.9978 03/11 06:38:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:39:18 - mmengine - INFO - Epoch(train) [199][ 200/1252] lr: 4.2594e-03 eta: 1 day, 23:55:28 time: 0.2845 data_time: 0.0956 loss: 1.9931 03/11 06:39:53 - mmengine - INFO - Epoch(train) [199][ 300/1252] lr: 4.2594e-03 eta: 1 day, 23:54:54 time: 0.3401 data_time: 0.0082 loss: 2.0272 03/11 06:40:28 - mmengine - INFO - Epoch(train) [199][ 400/1252] lr: 4.2594e-03 eta: 1 day, 23:54:19 time: 0.2864 data_time: 0.0038 loss: 2.1427 03/11 06:41:01 - mmengine - INFO - Epoch(train) [199][ 500/1252] lr: 4.2594e-03 eta: 1 day, 23:53:41 time: 0.3074 data_time: 0.0154 loss: 2.1037 03/11 06:41:35 - mmengine - INFO - Epoch(train) [199][ 600/1252] lr: 4.2594e-03 eta: 1 day, 23:53:07 time: 0.3734 data_time: 0.1347 loss: 1.9905 03/11 06:42:09 - mmengine - INFO - Epoch(train) [199][ 700/1252] lr: 4.2594e-03 eta: 1 day, 23:52:32 time: 0.3192 data_time: 0.0897 loss: 2.1270 03/11 06:42:43 - mmengine - INFO - Epoch(train) [199][ 800/1252] lr: 4.2594e-03 eta: 1 day, 23:51:56 time: 0.3366 data_time: 0.0034 loss: 2.1897 03/11 06:43:17 - mmengine - INFO - Epoch(train) [199][ 900/1252] lr: 4.2594e-03 eta: 1 day, 23:51:20 time: 0.3301 data_time: 0.0547 loss: 2.0252 03/11 06:43:52 - mmengine - INFO - Epoch(train) [199][1000/1252] lr: 4.2594e-03 eta: 1 day, 23:50:47 time: 0.3676 data_time: 0.0029 loss: 2.0304 03/11 06:44:26 - mmengine - INFO - Epoch(train) [199][1100/1252] lr: 4.2594e-03 eta: 1 day, 23:50:12 time: 0.3479 data_time: 0.1899 loss: 2.0920 03/11 06:44:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:45:00 - mmengine - INFO - Epoch(train) [199][1200/1252] lr: 4.2594e-03 eta: 1 day, 23:49:35 time: 0.3245 data_time: 0.0079 loss: 2.0988 03/11 06:45:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:45:17 - mmengine - INFO - Saving checkpoint at 199 epochs 03/11 06:45:42 - mmengine - INFO - Epoch(val) [199][49/49] accuracy/top1: 60.6260 accuracy/top5: 83.0220 03/11 06:46:18 - mmengine - INFO - Epoch(train) [200][ 100/1252] lr: 4.2594e-03 eta: 1 day, 23:48:46 time: 0.3305 data_time: 0.0290 loss: 1.9792 03/11 06:46:52 - mmengine - INFO - Epoch(train) [200][ 200/1252] lr: 4.2594e-03 eta: 1 day, 23:48:08 time: 0.3044 data_time: 0.0033 loss: 2.1008 03/11 06:47:25 - mmengine - INFO - Epoch(train) [200][ 300/1252] lr: 4.2594e-03 eta: 1 day, 23:47:31 time: 0.3409 data_time: 0.1318 loss: 2.1373 03/11 06:48:00 - mmengine - INFO - Epoch(train) [200][ 400/1252] lr: 4.2594e-03 eta: 1 day, 23:46:57 time: 0.3359 data_time: 0.1169 loss: 2.1531 03/11 06:48:33 - mmengine - INFO - Epoch(train) [200][ 500/1252] lr: 4.2594e-03 eta: 1 day, 23:46:20 time: 0.3085 data_time: 0.1337 loss: 2.0370 03/11 06:49:07 - mmengine - INFO - Epoch(train) [200][ 600/1252] lr: 4.2594e-03 eta: 1 day, 23:45:44 time: 0.3342 data_time: 0.1609 loss: 2.0559 03/11 06:49:41 - mmengine - INFO - Epoch(train) [200][ 700/1252] lr: 4.2594e-03 eta: 1 day, 23:45:07 time: 0.3769 data_time: 0.2577 loss: 2.0294 03/11 06:50:15 - mmengine - INFO - Epoch(train) [200][ 800/1252] lr: 4.2594e-03 eta: 1 day, 23:44:32 time: 0.2941 data_time: 0.1708 loss: 2.1490 03/11 06:50:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:50:49 - mmengine - INFO - Epoch(train) [200][ 900/1252] lr: 4.2594e-03 eta: 1 day, 23:43:58 time: 0.3208 data_time: 0.1759 loss: 2.0724 03/11 06:51:23 - mmengine - INFO - Epoch(train) [200][1000/1252] lr: 4.2594e-03 eta: 1 day, 23:43:22 time: 0.3649 data_time: 0.0059 loss: 1.9301 03/11 06:51:58 - mmengine - INFO - Epoch(train) [200][1100/1252] lr: 4.2594e-03 eta: 1 day, 23:42:48 time: 0.3732 data_time: 0.0035 loss: 2.0412 03/11 06:52:31 - mmengine - INFO - Epoch(train) [200][1200/1252] lr: 4.2594e-03 eta: 1 day, 23:42:12 time: 0.2904 data_time: 0.0037 loss: 1.9697 03/11 06:52:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:52:49 - mmengine - INFO - Saving checkpoint at 200 epochs 03/11 06:53:16 - mmengine - INFO - Epoch(val) [200][49/49] accuracy/top1: 61.1420 accuracy/top5: 83.3080 03/11 06:53:52 - mmengine - INFO - Epoch(train) [201][ 100/1252] lr: 4.1444e-03 eta: 1 day, 23:41:24 time: 0.2742 data_time: 0.0046 loss: 1.9956 03/11 06:54:27 - mmengine - INFO - Epoch(train) [201][ 200/1252] lr: 4.1444e-03 eta: 1 day, 23:40:50 time: 0.3641 data_time: 0.0032 loss: 2.0939 03/11 06:55:00 - mmengine - INFO - Epoch(train) [201][ 300/1252] lr: 4.1444e-03 eta: 1 day, 23:40:13 time: 0.2973 data_time: 0.0044 loss: 1.9620 03/11 06:55:35 - mmengine - INFO - Epoch(train) [201][ 400/1252] lr: 4.1444e-03 eta: 1 day, 23:39:41 time: 0.3570 data_time: 0.1525 loss: 2.0010 03/11 06:56:09 - mmengine - INFO - Epoch(train) [201][ 500/1252] lr: 4.1444e-03 eta: 1 day, 23:39:03 time: 0.3222 data_time: 0.1293 loss: 2.1268 03/11 06:56:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 06:56:44 - mmengine - INFO - Epoch(train) [201][ 600/1252] lr: 4.1444e-03 eta: 1 day, 23:38:30 time: 0.3902 data_time: 0.0032 loss: 2.1199 03/11 06:57:17 - mmengine - INFO - Epoch(train) [201][ 700/1252] lr: 4.1444e-03 eta: 1 day, 23:37:53 time: 0.3441 data_time: 0.1964 loss: 2.0357 03/11 06:57:51 - mmengine - INFO - Epoch(train) [201][ 800/1252] lr: 4.1444e-03 eta: 1 day, 23:37:17 time: 0.3153 data_time: 0.0201 loss: 1.9975 03/11 06:58:25 - mmengine - INFO - Epoch(train) [201][ 900/1252] lr: 4.1444e-03 eta: 1 day, 23:36:41 time: 0.3150 data_time: 0.0450 loss: 2.0772 03/11 06:58:59 - mmengine - INFO - Epoch(train) [201][1000/1252] lr: 4.1444e-03 eta: 1 day, 23:36:07 time: 0.3687 data_time: 0.0035 loss: 1.9932 03/11 06:59:32 - mmengine - INFO - Epoch(train) [201][1100/1252] lr: 4.1444e-03 eta: 1 day, 23:35:29 time: 0.3110 data_time: 0.0461 loss: 2.1124 03/11 07:00:07 - mmengine - INFO - Epoch(train) [201][1200/1252] lr: 4.1444e-03 eta: 1 day, 23:34:55 time: 0.3099 data_time: 0.0036 loss: 2.0795 03/11 07:00:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:00:24 - mmengine - INFO - Saving checkpoint at 201 epochs 03/11 07:00:50 - mmengine - INFO - Epoch(val) [201][49/49] accuracy/top1: 61.3760 accuracy/top5: 83.2960 03/11 07:01:26 - mmengine - INFO - Epoch(train) [202][ 100/1252] lr: 4.1444e-03 eta: 1 day, 23:34:06 time: 0.3145 data_time: 0.1267 loss: 2.0032 03/11 07:02:00 - mmengine - INFO - Epoch(train) [202][ 200/1252] lr: 4.1444e-03 eta: 1 day, 23:33:31 time: 0.3395 data_time: 0.0900 loss: 2.0154 03/11 07:02:34 - mmengine - INFO - Epoch(train) [202][ 300/1252] lr: 4.1444e-03 eta: 1 day, 23:32:55 time: 0.2977 data_time: 0.0035 loss: 2.0920 03/11 07:02:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:03:09 - mmengine - INFO - Epoch(train) [202][ 400/1252] lr: 4.1444e-03 eta: 1 day, 23:32:21 time: 0.3403 data_time: 0.2106 loss: 2.0258 03/11 07:03:42 - mmengine - INFO - Epoch(train) [202][ 500/1252] lr: 4.1444e-03 eta: 1 day, 23:31:44 time: 0.3240 data_time: 0.0511 loss: 2.1618 03/11 07:04:17 - mmengine - INFO - Epoch(train) [202][ 600/1252] lr: 4.1444e-03 eta: 1 day, 23:31:12 time: 0.3331 data_time: 0.0034 loss: 2.0746 03/11 07:04:51 - mmengine - INFO - Epoch(train) [202][ 700/1252] lr: 4.1444e-03 eta: 1 day, 23:30:36 time: 0.4042 data_time: 0.2637 loss: 1.9980 03/11 07:05:24 - mmengine - INFO - Epoch(train) [202][ 800/1252] lr: 4.1444e-03 eta: 1 day, 23:29:58 time: 0.3418 data_time: 0.0472 loss: 1.9233 03/11 07:05:58 - mmengine - INFO - Epoch(train) [202][ 900/1252] lr: 4.1444e-03 eta: 1 day, 23:29:22 time: 0.3454 data_time: 0.1016 loss: 2.1038 03/11 07:06:32 - mmengine - INFO - Epoch(train) [202][1000/1252] lr: 4.1444e-03 eta: 1 day, 23:28:45 time: 0.2989 data_time: 0.0031 loss: 2.0355 03/11 07:07:06 - mmengine - INFO - Epoch(train) [202][1100/1252] lr: 4.1444e-03 eta: 1 day, 23:28:10 time: 0.3204 data_time: 0.1557 loss: 2.1216 03/11 07:07:41 - mmengine - INFO - Epoch(train) [202][1200/1252] lr: 4.1444e-03 eta: 1 day, 23:27:38 time: 0.3398 data_time: 0.0035 loss: 1.9760 03/11 07:07:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:07:58 - mmengine - INFO - Saving checkpoint at 202 epochs 03/11 07:08:23 - mmengine - INFO - Epoch(val) [202][49/49] accuracy/top1: 59.4360 accuracy/top5: 82.0300 03/11 07:08:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:09:00 - mmengine - INFO - Epoch(train) [203][ 100/1252] lr: 4.0325e-03 eta: 1 day, 23:26:50 time: 0.3228 data_time: 0.1628 loss: 2.0619 03/11 07:09:34 - mmengine - INFO - Epoch(train) [203][ 200/1252] lr: 4.0325e-03 eta: 1 day, 23:26:14 time: 0.3179 data_time: 0.0045 loss: 2.0262 03/11 07:10:09 - mmengine - INFO - Epoch(train) [203][ 300/1252] lr: 4.0325e-03 eta: 1 day, 23:25:41 time: 0.3837 data_time: 0.1770 loss: 1.9147 03/11 07:10:43 - mmengine - INFO - Epoch(train) [203][ 400/1252] lr: 4.0325e-03 eta: 1 day, 23:25:05 time: 0.3899 data_time: 0.0311 loss: 1.9579 03/11 07:11:16 - mmengine - INFO - Epoch(train) [203][ 500/1252] lr: 4.0325e-03 eta: 1 day, 23:24:28 time: 0.3148 data_time: 0.0328 loss: 2.1478 03/11 07:11:50 - mmengine - INFO - Epoch(train) [203][ 600/1252] lr: 4.0325e-03 eta: 1 day, 23:23:51 time: 0.2533 data_time: 0.0710 loss: 2.0570 03/11 07:12:24 - mmengine - INFO - Epoch(train) [203][ 700/1252] lr: 4.0325e-03 eta: 1 day, 23:23:16 time: 0.3629 data_time: 0.0032 loss: 2.1442 03/11 07:12:59 - mmengine - INFO - Epoch(train) [203][ 800/1252] lr: 4.0325e-03 eta: 1 day, 23:22:43 time: 0.3518 data_time: 0.0037 loss: 2.0551 03/11 07:13:32 - mmengine - INFO - Epoch(train) [203][ 900/1252] lr: 4.0325e-03 eta: 1 day, 23:22:04 time: 0.3341 data_time: 0.0037 loss: 2.0154 03/11 07:14:06 - mmengine - INFO - Epoch(train) [203][1000/1252] lr: 4.0325e-03 eta: 1 day, 23:21:30 time: 0.4090 data_time: 0.0031 loss: 2.1091 03/11 07:14:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:14:40 - mmengine - INFO - Epoch(train) [203][1100/1252] lr: 4.0325e-03 eta: 1 day, 23:20:54 time: 0.3260 data_time: 0.1903 loss: 2.0602 03/11 07:15:14 - mmengine - INFO - Epoch(train) [203][1200/1252] lr: 4.0325e-03 eta: 1 day, 23:20:18 time: 0.3140 data_time: 0.0034 loss: 2.0343 03/11 07:15:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:15:31 - mmengine - INFO - Saving checkpoint at 203 epochs 03/11 07:15:55 - mmengine - INFO - Epoch(val) [203][49/49] accuracy/top1: 59.3760 accuracy/top5: 82.1200 03/11 07:16:32 - mmengine - INFO - Epoch(train) [204][ 100/1252] lr: 4.0325e-03 eta: 1 day, 23:19:32 time: 0.3383 data_time: 0.1498 loss: 2.0115 03/11 07:17:05 - mmengine - INFO - Epoch(train) [204][ 200/1252] lr: 4.0325e-03 eta: 1 day, 23:18:54 time: 0.2923 data_time: 0.0888 loss: 2.0392 03/11 07:17:40 - mmengine - INFO - Epoch(train) [204][ 300/1252] lr: 4.0325e-03 eta: 1 day, 23:18:20 time: 0.3324 data_time: 0.0240 loss: 2.0121 03/11 07:18:13 - mmengine - INFO - Epoch(train) [204][ 400/1252] lr: 4.0325e-03 eta: 1 day, 23:17:44 time: 0.2973 data_time: 0.1614 loss: 1.9997 03/11 07:18:47 - mmengine - INFO - Epoch(train) [204][ 500/1252] lr: 4.0325e-03 eta: 1 day, 23:17:07 time: 0.3436 data_time: 0.0031 loss: 2.0564 03/11 07:19:22 - mmengine - INFO - Epoch(train) [204][ 600/1252] lr: 4.0325e-03 eta: 1 day, 23:16:33 time: 0.3595 data_time: 0.0034 loss: 2.0797 03/11 07:19:55 - mmengine - INFO - Epoch(train) [204][ 700/1252] lr: 4.0325e-03 eta: 1 day, 23:15:57 time: 0.3308 data_time: 0.1967 loss: 2.1505 03/11 07:20:30 - mmengine - INFO - Epoch(train) [204][ 800/1252] lr: 4.0325e-03 eta: 1 day, 23:15:22 time: 0.3050 data_time: 0.0032 loss: 2.0092 03/11 07:20:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:21:04 - mmengine - INFO - Epoch(train) [204][ 900/1252] lr: 4.0325e-03 eta: 1 day, 23:14:49 time: 0.3697 data_time: 0.2541 loss: 2.0696 03/11 07:21:37 - mmengine - INFO - Epoch(train) [204][1000/1252] lr: 4.0325e-03 eta: 1 day, 23:14:10 time: 0.2804 data_time: 0.0687 loss: 2.0010 03/11 07:22:11 - mmengine - INFO - Epoch(train) [204][1100/1252] lr: 4.0325e-03 eta: 1 day, 23:13:34 time: 0.3315 data_time: 0.2041 loss: 2.0175 03/11 07:22:46 - mmengine - INFO - Epoch(train) [204][1200/1252] lr: 4.0325e-03 eta: 1 day, 23:13:00 time: 0.3639 data_time: 0.1072 loss: 1.9444 03/11 07:23:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:23:02 - mmengine - INFO - Saving checkpoint at 204 epochs 03/11 07:23:28 - mmengine - INFO - Epoch(val) [204][49/49] accuracy/top1: 60.3800 accuracy/top5: 82.8380 03/11 07:24:04 - mmengine - INFO - Epoch(train) [205][ 100/1252] lr: 3.9236e-03 eta: 1 day, 23:12:11 time: 0.3232 data_time: 0.1913 loss: 2.0696 03/11 07:24:39 - mmengine - INFO - Epoch(train) [205][ 200/1252] lr: 3.9236e-03 eta: 1 day, 23:11:36 time: 0.3878 data_time: 0.0037 loss: 2.0559 03/11 07:25:12 - mmengine - INFO - Epoch(train) [205][ 300/1252] lr: 3.9236e-03 eta: 1 day, 23:11:00 time: 0.3302 data_time: 0.0038 loss: 2.1122 03/11 07:25:46 - mmengine - INFO - Epoch(train) [205][ 400/1252] lr: 3.9236e-03 eta: 1 day, 23:10:24 time: 0.3035 data_time: 0.0211 loss: 2.0689 03/11 07:26:20 - mmengine - INFO - Epoch(train) [205][ 500/1252] lr: 3.9236e-03 eta: 1 day, 23:09:48 time: 0.3524 data_time: 0.0033 loss: 2.0487 03/11 07:26:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:26:54 - mmengine - INFO - Epoch(train) [205][ 600/1252] lr: 3.9236e-03 eta: 1 day, 23:09:12 time: 0.3107 data_time: 0.0049 loss: 1.8996 03/11 07:27:27 - mmengine - INFO - Epoch(train) [205][ 700/1252] lr: 3.9236e-03 eta: 1 day, 23:08:35 time: 0.3494 data_time: 0.0304 loss: 2.0857 03/11 07:28:02 - mmengine - INFO - Epoch(train) [205][ 800/1252] lr: 3.9236e-03 eta: 1 day, 23:08:00 time: 0.2927 data_time: 0.0033 loss: 2.0271 03/11 07:28:36 - mmengine - INFO - Epoch(train) [205][ 900/1252] lr: 3.9236e-03 eta: 1 day, 23:07:25 time: 0.3493 data_time: 0.1852 loss: 2.0178 03/11 07:29:09 - mmengine - INFO - Epoch(train) [205][1000/1252] lr: 3.9236e-03 eta: 1 day, 23:06:49 time: 0.2896 data_time: 0.0893 loss: 2.1693 03/11 07:29:45 - mmengine - INFO - Epoch(train) [205][1100/1252] lr: 3.9236e-03 eta: 1 day, 23:06:16 time: 0.3508 data_time: 0.0525 loss: 2.0970 03/11 07:30:19 - mmengine - INFO - Epoch(train) [205][1200/1252] lr: 3.9236e-03 eta: 1 day, 23:05:43 time: 0.4129 data_time: 0.0278 loss: 2.0861 03/11 07:30:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:30:36 - mmengine - INFO - Saving checkpoint at 205 epochs 03/11 07:31:02 - mmengine - INFO - Epoch(val) [205][49/49] accuracy/top1: 59.7900 accuracy/top5: 82.3980 03/11 07:31:38 - mmengine - INFO - Epoch(train) [206][ 100/1252] lr: 3.9236e-03 eta: 1 day, 23:04:51 time: 0.2922 data_time: 0.0038 loss: 2.0793 03/11 07:32:13 - mmengine - INFO - Epoch(train) [206][ 200/1252] lr: 3.9236e-03 eta: 1 day, 23:04:17 time: 0.3577 data_time: 0.0035 loss: 1.8586 03/11 07:32:46 - mmengine - INFO - Epoch(train) [206][ 300/1252] lr: 3.9236e-03 eta: 1 day, 23:03:39 time: 0.2973 data_time: 0.0490 loss: 2.0500 03/11 07:33:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:33:20 - mmengine - INFO - Epoch(train) [206][ 400/1252] lr: 3.9236e-03 eta: 1 day, 23:03:05 time: 0.3119 data_time: 0.0045 loss: 2.0181 03/11 07:33:54 - mmengine - INFO - Epoch(train) [206][ 500/1252] lr: 3.9236e-03 eta: 1 day, 23:02:28 time: 0.2988 data_time: 0.0182 loss: 2.0469 03/11 07:34:28 - mmengine - INFO - Epoch(train) [206][ 600/1252] lr: 3.9236e-03 eta: 1 day, 23:01:52 time: 0.3329 data_time: 0.0633 loss: 1.9410 03/11 07:35:02 - mmengine - INFO - Epoch(train) [206][ 700/1252] lr: 3.9236e-03 eta: 1 day, 23:01:18 time: 0.3888 data_time: 0.2754 loss: 2.1952 03/11 07:35:36 - mmengine - INFO - Epoch(train) [206][ 800/1252] lr: 3.9236e-03 eta: 1 day, 23:00:41 time: 0.3295 data_time: 0.0635 loss: 1.9851 03/11 07:36:09 - mmengine - INFO - Epoch(train) [206][ 900/1252] lr: 3.9236e-03 eta: 1 day, 23:00:05 time: 0.3194 data_time: 0.0645 loss: 2.0328 03/11 07:36:44 - mmengine - INFO - Epoch(train) [206][1000/1252] lr: 3.9236e-03 eta: 1 day, 22:59:30 time: 0.3299 data_time: 0.0723 loss: 2.0957 03/11 07:37:18 - mmengine - INFO - Epoch(train) [206][1100/1252] lr: 3.9236e-03 eta: 1 day, 22:58:57 time: 0.3773 data_time: 0.0874 loss: 2.0860 03/11 07:37:52 - mmengine - INFO - Epoch(train) [206][1200/1252] lr: 3.9236e-03 eta: 1 day, 22:58:19 time: 0.3543 data_time: 0.0036 loss: 2.0075 03/11 07:38:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:38:09 - mmengine - INFO - Saving checkpoint at 206 epochs 03/11 07:38:35 - mmengine - INFO - Epoch(val) [206][49/49] accuracy/top1: 58.6920 accuracy/top5: 81.2500 03/11 07:39:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:39:12 - mmengine - INFO - Epoch(train) [207][ 100/1252] lr: 3.8177e-03 eta: 1 day, 22:57:32 time: 0.3414 data_time: 0.0911 loss: 2.0121 03/11 07:39:46 - mmengine - INFO - Epoch(train) [207][ 200/1252] lr: 3.8177e-03 eta: 1 day, 22:56:56 time: 0.2793 data_time: 0.1359 loss: 2.0475 03/11 07:40:19 - mmengine - INFO - Epoch(train) [207][ 300/1252] lr: 3.8177e-03 eta: 1 day, 22:56:20 time: 0.3363 data_time: 0.0375 loss: 2.0134 03/11 07:40:54 - mmengine - INFO - Epoch(train) [207][ 400/1252] lr: 3.8177e-03 eta: 1 day, 22:55:46 time: 0.2935 data_time: 0.1714 loss: 2.0196 03/11 07:41:28 - mmengine - INFO - Epoch(train) [207][ 500/1252] lr: 3.8177e-03 eta: 1 day, 22:55:09 time: 0.3287 data_time: 0.0034 loss: 1.9788 03/11 07:42:02 - mmengine - INFO - Epoch(train) [207][ 600/1252] lr: 3.8177e-03 eta: 1 day, 22:54:35 time: 0.3946 data_time: 0.0033 loss: 2.0720 03/11 07:42:37 - mmengine - INFO - Epoch(train) [207][ 700/1252] lr: 3.8177e-03 eta: 1 day, 22:54:02 time: 0.3933 data_time: 0.0346 loss: 2.0603 03/11 07:43:10 - mmengine - INFO - Epoch(train) [207][ 800/1252] lr: 3.8177e-03 eta: 1 day, 22:53:24 time: 0.3157 data_time: 0.0035 loss: 2.1244 03/11 07:43:44 - mmengine - INFO - Epoch(train) [207][ 900/1252] lr: 3.8177e-03 eta: 1 day, 22:52:49 time: 0.3661 data_time: 0.0037 loss: 2.1413 03/11 07:44:18 - mmengine - INFO - Epoch(train) [207][1000/1252] lr: 3.8177e-03 eta: 1 day, 22:52:14 time: 0.3510 data_time: 0.0702 loss: 2.0550 03/11 07:44:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:44:51 - mmengine - INFO - Epoch(train) [207][1100/1252] lr: 3.8177e-03 eta: 1 day, 22:51:37 time: 0.3382 data_time: 0.0961 loss: 1.9837 03/11 07:45:26 - mmengine - INFO - Epoch(train) [207][1200/1252] lr: 3.8177e-03 eta: 1 day, 22:51:02 time: 0.3144 data_time: 0.1947 loss: 2.1048 03/11 07:45:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:45:43 - mmengine - INFO - Saving checkpoint at 207 epochs 03/11 07:46:10 - mmengine - INFO - Epoch(val) [207][49/49] accuracy/top1: 60.1620 accuracy/top5: 82.4920 03/11 07:46:46 - mmengine - INFO - Epoch(train) [208][ 100/1252] lr: 3.8177e-03 eta: 1 day, 22:50:14 time: 0.3649 data_time: 0.1656 loss: 2.0421 03/11 07:47:20 - mmengine - INFO - Epoch(train) [208][ 200/1252] lr: 3.8177e-03 eta: 1 day, 22:49:39 time: 0.3406 data_time: 0.1777 loss: 2.0306 03/11 07:47:53 - mmengine - INFO - Epoch(train) [208][ 300/1252] lr: 3.8177e-03 eta: 1 day, 22:49:02 time: 0.3470 data_time: 0.1343 loss: 2.0676 03/11 07:48:27 - mmengine - INFO - Epoch(train) [208][ 400/1252] lr: 3.8177e-03 eta: 1 day, 22:48:26 time: 0.3456 data_time: 0.0168 loss: 2.0703 03/11 07:49:02 - mmengine - INFO - Epoch(train) [208][ 500/1252] lr: 3.8177e-03 eta: 1 day, 22:47:53 time: 0.3062 data_time: 0.0277 loss: 1.9475 03/11 07:49:36 - mmengine - INFO - Epoch(train) [208][ 600/1252] lr: 3.8177e-03 eta: 1 day, 22:47:16 time: 0.3089 data_time: 0.1278 loss: 2.1049 03/11 07:50:10 - mmengine - INFO - Epoch(train) [208][ 700/1252] lr: 3.8177e-03 eta: 1 day, 22:46:43 time: 0.3690 data_time: 0.1274 loss: 2.0670 03/11 07:50:44 - mmengine - INFO - Epoch(train) [208][ 800/1252] lr: 3.8177e-03 eta: 1 day, 22:46:06 time: 0.3123 data_time: 0.0034 loss: 2.0907 03/11 07:50:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:51:18 - mmengine - INFO - Epoch(train) [208][ 900/1252] lr: 3.8177e-03 eta: 1 day, 22:45:31 time: 0.3458 data_time: 0.0040 loss: 1.9983 03/11 07:51:52 - mmengine - INFO - Epoch(train) [208][1000/1252] lr: 3.8177e-03 eta: 1 day, 22:44:55 time: 0.3212 data_time: 0.1056 loss: 2.0658 03/11 07:52:26 - mmengine - INFO - Epoch(train) [208][1100/1252] lr: 3.8177e-03 eta: 1 day, 22:44:19 time: 0.3325 data_time: 0.2021 loss: 2.1051 03/11 07:52:59 - mmengine - INFO - Epoch(train) [208][1200/1252] lr: 3.8177e-03 eta: 1 day, 22:43:43 time: 0.3353 data_time: 0.1731 loss: 2.1267 03/11 07:53:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:53:17 - mmengine - INFO - Saving checkpoint at 208 epochs 03/11 07:53:43 - mmengine - INFO - Epoch(val) [208][49/49] accuracy/top1: 60.3800 accuracy/top5: 82.6420 03/11 07:54:20 - mmengine - INFO - Epoch(train) [209][ 100/1252] lr: 3.7146e-03 eta: 1 day, 22:42:55 time: 0.3199 data_time: 0.0273 loss: 2.0759 03/11 07:54:54 - mmengine - INFO - Epoch(train) [209][ 200/1252] lr: 3.7146e-03 eta: 1 day, 22:42:19 time: 0.3212 data_time: 0.0042 loss: 1.9904 03/11 07:55:29 - mmengine - INFO - Epoch(train) [209][ 300/1252] lr: 3.7146e-03 eta: 1 day, 22:41:45 time: 0.3204 data_time: 0.0936 loss: 2.0479 03/11 07:56:03 - mmengine - INFO - Epoch(train) [209][ 400/1252] lr: 3.7146e-03 eta: 1 day, 22:41:10 time: 0.3852 data_time: 0.0046 loss: 2.0985 03/11 07:56:36 - mmengine - INFO - Epoch(train) [209][ 500/1252] lr: 3.7146e-03 eta: 1 day, 22:40:34 time: 0.3426 data_time: 0.0037 loss: 2.1297 03/11 07:57:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 07:57:10 - mmengine - INFO - Epoch(train) [209][ 600/1252] lr: 3.7146e-03 eta: 1 day, 22:39:57 time: 0.3119 data_time: 0.0042 loss: 2.0089 03/11 07:57:44 - mmengine - INFO - Epoch(train) [209][ 700/1252] lr: 3.7146e-03 eta: 1 day, 22:39:22 time: 0.2882 data_time: 0.0035 loss: 2.0504 03/11 07:58:18 - mmengine - INFO - Epoch(train) [209][ 800/1252] lr: 3.7146e-03 eta: 1 day, 22:38:47 time: 0.3177 data_time: 0.0030 loss: 2.1217 03/11 07:58:52 - mmengine - INFO - Epoch(train) [209][ 900/1252] lr: 3.7146e-03 eta: 1 day, 22:38:11 time: 0.2760 data_time: 0.0037 loss: 2.0662 03/11 07:59:26 - mmengine - INFO - Epoch(train) [209][1000/1252] lr: 3.7146e-03 eta: 1 day, 22:37:35 time: 0.2664 data_time: 0.0040 loss: 1.9260 03/11 08:00:00 - mmengine - INFO - Epoch(train) [209][1100/1252] lr: 3.7146e-03 eta: 1 day, 22:37:00 time: 0.3153 data_time: 0.0041 loss: 2.0289 03/11 08:00:34 - mmengine - INFO - Epoch(train) [209][1200/1252] lr: 3.7146e-03 eta: 1 day, 22:36:25 time: 0.2956 data_time: 0.0029 loss: 1.9231 03/11 08:00:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:00:51 - mmengine - INFO - Saving checkpoint at 209 epochs 03/11 08:01:16 - mmengine - INFO - Epoch(val) [209][49/49] accuracy/top1: 59.9640 accuracy/top5: 82.3020 03/11 08:01:53 - mmengine - INFO - Epoch(train) [210][ 100/1252] lr: 3.7146e-03 eta: 1 day, 22:35:38 time: 0.3163 data_time: 0.0035 loss: 1.9728 03/11 08:02:27 - mmengine - INFO - Epoch(train) [210][ 200/1252] lr: 3.7146e-03 eta: 1 day, 22:35:01 time: 0.2895 data_time: 0.0039 loss: 1.9344 03/11 08:03:01 - mmengine - INFO - Epoch(train) [210][ 300/1252] lr: 3.7146e-03 eta: 1 day, 22:34:27 time: 0.3658 data_time: 0.1810 loss: 2.0018 03/11 08:03:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:03:35 - mmengine - INFO - Epoch(train) [210][ 400/1252] lr: 3.7146e-03 eta: 1 day, 22:33:51 time: 0.3188 data_time: 0.0034 loss: 2.0742 03/11 08:04:08 - mmengine - INFO - Epoch(train) [210][ 500/1252] lr: 3.7146e-03 eta: 1 day, 22:33:14 time: 0.2934 data_time: 0.1031 loss: 2.1460 03/11 08:04:43 - mmengine - INFO - Epoch(train) [210][ 600/1252] lr: 3.7146e-03 eta: 1 day, 22:32:39 time: 0.3044 data_time: 0.1651 loss: 2.1334 03/11 08:05:16 - mmengine - INFO - Epoch(train) [210][ 700/1252] lr: 3.7146e-03 eta: 1 day, 22:32:03 time: 0.3130 data_time: 0.0036 loss: 2.0112 03/11 08:05:51 - mmengine - INFO - Epoch(train) [210][ 800/1252] lr: 3.7146e-03 eta: 1 day, 22:31:29 time: 0.3621 data_time: 0.0033 loss: 1.9218 03/11 08:06:25 - mmengine - INFO - Epoch(train) [210][ 900/1252] lr: 3.7146e-03 eta: 1 day, 22:30:52 time: 0.3643 data_time: 0.0483 loss: 1.9766 03/11 08:06:59 - mmengine - INFO - Epoch(train) [210][1000/1252] lr: 3.7146e-03 eta: 1 day, 22:30:17 time: 0.3006 data_time: 0.0034 loss: 2.0573 03/11 08:07:32 - mmengine - INFO - Epoch(train) [210][1100/1252] lr: 3.7146e-03 eta: 1 day, 22:29:40 time: 0.3182 data_time: 0.0777 loss: 2.1808 03/11 08:08:07 - mmengine - INFO - Epoch(train) [210][1200/1252] lr: 3.7146e-03 eta: 1 day, 22:29:07 time: 0.3513 data_time: 0.0032 loss: 2.0096 03/11 08:08:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:08:23 - mmengine - INFO - Saving checkpoint at 210 epochs 03/11 08:08:49 - mmengine - INFO - Epoch(val) [210][49/49] accuracy/top1: 60.9680 accuracy/top5: 83.2020 03/11 08:09:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:09:25 - mmengine - INFO - Epoch(train) [211][ 100/1252] lr: 3.6143e-03 eta: 1 day, 22:28:17 time: 0.3776 data_time: 0.0421 loss: 2.0040 03/11 08:10:00 - mmengine - INFO - Epoch(train) [211][ 200/1252] lr: 3.6143e-03 eta: 1 day, 22:27:43 time: 0.3338 data_time: 0.0163 loss: 1.9916 03/11 08:10:34 - mmengine - INFO - Epoch(train) [211][ 300/1252] lr: 3.6143e-03 eta: 1 day, 22:27:08 time: 0.3666 data_time: 0.0032 loss: 2.0158 03/11 08:11:09 - mmengine - INFO - Epoch(train) [211][ 400/1252] lr: 3.6143e-03 eta: 1 day, 22:26:34 time: 0.3600 data_time: 0.0944 loss: 2.0990 03/11 08:11:43 - mmengine - INFO - Epoch(train) [211][ 500/1252] lr: 3.6143e-03 eta: 1 day, 22:26:00 time: 0.3327 data_time: 0.0199 loss: 2.0291 03/11 08:12:17 - mmengine - INFO - Epoch(train) [211][ 600/1252] lr: 3.6143e-03 eta: 1 day, 22:25:23 time: 0.3009 data_time: 0.0032 loss: 2.1243 03/11 08:12:51 - mmengine - INFO - Epoch(train) [211][ 700/1252] lr: 3.6143e-03 eta: 1 day, 22:24:48 time: 0.3447 data_time: 0.0035 loss: 2.0729 03/11 08:13:25 - mmengine - INFO - Epoch(train) [211][ 800/1252] lr: 3.6143e-03 eta: 1 day, 22:24:14 time: 0.3981 data_time: 0.0420 loss: 1.9954 03/11 08:13:59 - mmengine - INFO - Epoch(train) [211][ 900/1252] lr: 3.6143e-03 eta: 1 day, 22:23:38 time: 0.3737 data_time: 0.0929 loss: 2.1399 03/11 08:14:33 - mmengine - INFO - Epoch(train) [211][1000/1252] lr: 3.6143e-03 eta: 1 day, 22:23:03 time: 0.3758 data_time: 0.0032 loss: 2.0710 03/11 08:15:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:15:07 - mmengine - INFO - Epoch(train) [211][1100/1252] lr: 3.6143e-03 eta: 1 day, 22:22:27 time: 0.2804 data_time: 0.0035 loss: 2.0785 03/11 08:15:41 - mmengine - INFO - Epoch(train) [211][1200/1252] lr: 3.6143e-03 eta: 1 day, 22:21:52 time: 0.2710 data_time: 0.0038 loss: 2.0757 03/11 08:15:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:15:58 - mmengine - INFO - Saving checkpoint at 211 epochs 03/11 08:16:24 - mmengine - INFO - Epoch(val) [211][49/49] accuracy/top1: 60.8740 accuracy/top5: 82.9540 03/11 08:17:01 - mmengine - INFO - Epoch(train) [212][ 100/1252] lr: 3.6143e-03 eta: 1 day, 22:21:02 time: 0.3800 data_time: 0.0672 loss: 1.9915 03/11 08:17:35 - mmengine - INFO - Epoch(train) [212][ 200/1252] lr: 3.6143e-03 eta: 1 day, 22:20:27 time: 0.3608 data_time: 0.0038 loss: 2.0698 03/11 08:18:10 - mmengine - INFO - Epoch(train) [212][ 300/1252] lr: 3.6143e-03 eta: 1 day, 22:19:54 time: 0.4430 data_time: 0.0142 loss: 2.0103 03/11 08:18:43 - mmengine - INFO - Epoch(train) [212][ 400/1252] lr: 3.6143e-03 eta: 1 day, 22:19:15 time: 0.3493 data_time: 0.0037 loss: 2.0083 03/11 08:19:17 - mmengine - INFO - Epoch(train) [212][ 500/1252] lr: 3.6143e-03 eta: 1 day, 22:18:40 time: 0.3439 data_time: 0.0546 loss: 1.9829 03/11 08:19:52 - mmengine - INFO - Epoch(train) [212][ 600/1252] lr: 3.6143e-03 eta: 1 day, 22:18:08 time: 0.3726 data_time: 0.2336 loss: 2.0866 03/11 08:20:25 - mmengine - INFO - Epoch(train) [212][ 700/1252] lr: 3.6143e-03 eta: 1 day, 22:17:31 time: 0.3660 data_time: 0.0031 loss: 1.9433 03/11 08:20:59 - mmengine - INFO - Epoch(train) [212][ 800/1252] lr: 3.6143e-03 eta: 1 day, 22:16:54 time: 0.2965 data_time: 0.0038 loss: 2.1386 03/11 08:21:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:21:33 - mmengine - INFO - Epoch(train) [212][ 900/1252] lr: 3.6143e-03 eta: 1 day, 22:16:19 time: 0.3372 data_time: 0.1289 loss: 2.1004 03/11 08:22:08 - mmengine - INFO - Epoch(train) [212][1000/1252] lr: 3.6143e-03 eta: 1 day, 22:15:46 time: 0.3938 data_time: 0.0045 loss: 2.0068 03/11 08:22:41 - mmengine - INFO - Epoch(train) [212][1100/1252] lr: 3.6143e-03 eta: 1 day, 22:15:09 time: 0.3632 data_time: 0.1191 loss: 2.0323 03/11 08:23:15 - mmengine - INFO - Epoch(train) [212][1200/1252] lr: 3.6143e-03 eta: 1 day, 22:14:33 time: 0.3668 data_time: 0.0249 loss: 2.0670 03/11 08:23:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:23:32 - mmengine - INFO - Saving checkpoint at 212 epochs 03/11 08:23:56 - mmengine - INFO - Epoch(val) [212][49/49] accuracy/top1: 59.6880 accuracy/top5: 82.1080 03/11 08:24:33 - mmengine - INFO - Epoch(train) [213][ 100/1252] lr: 3.5167e-03 eta: 1 day, 22:13:45 time: 0.3031 data_time: 0.0211 loss: 2.0889 03/11 08:25:07 - mmengine - INFO - Epoch(train) [213][ 200/1252] lr: 3.5167e-03 eta: 1 day, 22:13:08 time: 0.3705 data_time: 0.0926 loss: 1.9868 03/11 08:25:40 - mmengine - INFO - Epoch(train) [213][ 300/1252] lr: 3.5167e-03 eta: 1 day, 22:12:32 time: 0.3049 data_time: 0.0031 loss: 1.9938 03/11 08:26:15 - mmengine - INFO - Epoch(train) [213][ 400/1252] lr: 3.5167e-03 eta: 1 day, 22:11:59 time: 0.3238 data_time: 0.0038 loss: 2.1331 03/11 08:26:49 - mmengine - INFO - Epoch(train) [213][ 500/1252] lr: 3.5167e-03 eta: 1 day, 22:11:23 time: 0.3465 data_time: 0.0584 loss: 2.0179 03/11 08:27:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:27:22 - mmengine - INFO - Epoch(train) [213][ 600/1252] lr: 3.5167e-03 eta: 1 day, 22:10:46 time: 0.3030 data_time: 0.0698 loss: 2.0186 03/11 08:27:57 - mmengine - INFO - Epoch(train) [213][ 700/1252] lr: 3.5167e-03 eta: 1 day, 22:10:13 time: 0.3232 data_time: 0.1998 loss: 1.9777 03/11 08:28:30 - mmengine - INFO - Epoch(train) [213][ 800/1252] lr: 3.5167e-03 eta: 1 day, 22:09:34 time: 0.3240 data_time: 0.0159 loss: 1.9765 03/11 08:29:04 - mmengine - INFO - Epoch(train) [213][ 900/1252] lr: 3.5167e-03 eta: 1 day, 22:09:00 time: 0.4045 data_time: 0.0036 loss: 1.9786 03/11 08:29:38 - mmengine - INFO - Epoch(train) [213][1000/1252] lr: 3.5167e-03 eta: 1 day, 22:08:25 time: 0.3365 data_time: 0.0042 loss: 2.0358 03/11 08:30:12 - mmengine - INFO - Epoch(train) [213][1100/1252] lr: 3.5167e-03 eta: 1 day, 22:07:49 time: 0.3028 data_time: 0.0037 loss: 2.0253 03/11 08:30:46 - mmengine - INFO - Epoch(train) [213][1200/1252] lr: 3.5167e-03 eta: 1 day, 22:07:14 time: 0.3451 data_time: 0.0032 loss: 2.0625 03/11 08:31:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:31:04 - mmengine - INFO - Saving checkpoint at 213 epochs 03/11 08:31:29 - mmengine - INFO - Epoch(val) [213][49/49] accuracy/top1: 60.9420 accuracy/top5: 82.9000 03/11 08:32:05 - mmengine - INFO - Epoch(train) [214][ 100/1252] lr: 3.5167e-03 eta: 1 day, 22:06:26 time: 0.3910 data_time: 0.1478 loss: 2.0396 03/11 08:32:40 - mmengine - INFO - Epoch(train) [214][ 200/1252] lr: 3.5167e-03 eta: 1 day, 22:05:53 time: 0.3002 data_time: 0.0766 loss: 2.0687 03/11 08:33:14 - mmengine - INFO - Epoch(train) [214][ 300/1252] lr: 3.5167e-03 eta: 1 day, 22:05:17 time: 0.3658 data_time: 0.0048 loss: 2.1080 03/11 08:33:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:33:48 - mmengine - INFO - Epoch(train) [214][ 400/1252] lr: 3.5167e-03 eta: 1 day, 22:04:42 time: 0.2726 data_time: 0.0914 loss: 1.9720 03/11 08:34:22 - mmengine - INFO - Epoch(train) [214][ 500/1252] lr: 3.5167e-03 eta: 1 day, 22:04:06 time: 0.3399 data_time: 0.1949 loss: 2.0264 03/11 08:34:55 - mmengine - INFO - Epoch(train) [214][ 600/1252] lr: 3.5167e-03 eta: 1 day, 22:03:30 time: 0.3498 data_time: 0.0936 loss: 2.1278 03/11 08:35:30 - mmengine - INFO - Epoch(train) [214][ 700/1252] lr: 3.5167e-03 eta: 1 day, 22:02:55 time: 0.3246 data_time: 0.0033 loss: 2.0091 03/11 08:36:04 - mmengine - INFO - Epoch(train) [214][ 800/1252] lr: 3.5167e-03 eta: 1 day, 22:02:21 time: 0.3921 data_time: 0.0037 loss: 1.9947 03/11 08:36:38 - mmengine - INFO - Epoch(train) [214][ 900/1252] lr: 3.5167e-03 eta: 1 day, 22:01:45 time: 0.3851 data_time: 0.1635 loss: 2.0777 03/11 08:37:12 - mmengine - INFO - Epoch(train) [214][1000/1252] lr: 3.5167e-03 eta: 1 day, 22:01:09 time: 0.3249 data_time: 0.0043 loss: 2.0504 03/11 08:37:46 - mmengine - INFO - Epoch(train) [214][1100/1252] lr: 3.5167e-03 eta: 1 day, 22:00:34 time: 0.2898 data_time: 0.0776 loss: 2.0630 03/11 08:38:20 - mmengine - INFO - Epoch(train) [214][1200/1252] lr: 3.5167e-03 eta: 1 day, 21:59:59 time: 0.3827 data_time: 0.1263 loss: 1.9378 03/11 08:38:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:38:37 - mmengine - INFO - Saving checkpoint at 214 epochs 03/11 08:39:03 - mmengine - INFO - Epoch(val) [214][49/49] accuracy/top1: 61.6180 accuracy/top5: 83.5560 03/11 08:39:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:39:39 - mmengine - INFO - Epoch(train) [215][ 100/1252] lr: 3.4218e-03 eta: 1 day, 21:59:10 time: 0.3651 data_time: 0.1430 loss: 2.1626 03/11 08:40:13 - mmengine - INFO - Epoch(train) [215][ 200/1252] lr: 3.4218e-03 eta: 1 day, 21:58:35 time: 0.3639 data_time: 0.2458 loss: 2.1364 03/11 08:40:47 - mmengine - INFO - Epoch(train) [215][ 300/1252] lr: 3.4218e-03 eta: 1 day, 21:57:58 time: 0.3157 data_time: 0.1551 loss: 2.0641 03/11 08:41:21 - mmengine - INFO - Epoch(train) [215][ 400/1252] lr: 3.4218e-03 eta: 1 day, 21:57:23 time: 0.3955 data_time: 0.2148 loss: 2.0054 03/11 08:41:54 - mmengine - INFO - Epoch(train) [215][ 500/1252] lr: 3.4218e-03 eta: 1 day, 21:56:47 time: 0.2882 data_time: 0.0561 loss: 2.0335 03/11 08:42:29 - mmengine - INFO - Epoch(train) [215][ 600/1252] lr: 3.4218e-03 eta: 1 day, 21:56:13 time: 0.3476 data_time: 0.0033 loss: 1.9972 03/11 08:43:02 - mmengine - INFO - Epoch(train) [215][ 700/1252] lr: 3.4218e-03 eta: 1 day, 21:55:37 time: 0.3283 data_time: 0.0034 loss: 2.1066 03/11 08:43:36 - mmengine - INFO - Epoch(train) [215][ 800/1252] lr: 3.4218e-03 eta: 1 day, 21:55:01 time: 0.3515 data_time: 0.0340 loss: 1.9489 03/11 08:44:10 - mmengine - INFO - Epoch(train) [215][ 900/1252] lr: 3.4218e-03 eta: 1 day, 21:54:24 time: 0.3118 data_time: 0.0033 loss: 1.9393 03/11 08:44:44 - mmengine - INFO - Epoch(train) [215][1000/1252] lr: 3.4218e-03 eta: 1 day, 21:53:50 time: 0.3293 data_time: 0.0032 loss: 1.9012 03/11 08:45:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:45:18 - mmengine - INFO - Epoch(train) [215][1100/1252] lr: 3.4218e-03 eta: 1 day, 21:53:15 time: 0.3108 data_time: 0.0651 loss: 2.0311 03/11 08:45:52 - mmengine - INFO - Epoch(train) [215][1200/1252] lr: 3.4218e-03 eta: 1 day, 21:52:40 time: 0.2910 data_time: 0.0043 loss: 2.0947 03/11 08:46:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:46:10 - mmengine - INFO - Saving checkpoint at 215 epochs 03/11 08:46:36 - mmengine - INFO - Epoch(val) [215][49/49] accuracy/top1: 61.0980 accuracy/top5: 82.9660 03/11 08:47:12 - mmengine - INFO - Epoch(train) [216][ 100/1252] lr: 3.4218e-03 eta: 1 day, 21:51:52 time: 0.2851 data_time: 0.1429 loss: 2.0541 03/11 08:47:47 - mmengine - INFO - Epoch(train) [216][ 200/1252] lr: 3.4218e-03 eta: 1 day, 21:51:19 time: 0.3279 data_time: 0.0039 loss: 1.9701 03/11 08:48:21 - mmengine - INFO - Epoch(train) [216][ 300/1252] lr: 3.4218e-03 eta: 1 day, 21:50:43 time: 0.3271 data_time: 0.1274 loss: 2.0401 03/11 08:48:55 - mmengine - INFO - Epoch(train) [216][ 400/1252] lr: 3.4218e-03 eta: 1 day, 21:50:07 time: 0.3017 data_time: 0.0286 loss: 2.0546 03/11 08:49:29 - mmengine - INFO - Epoch(train) [216][ 500/1252] lr: 3.4218e-03 eta: 1 day, 21:49:32 time: 0.3684 data_time: 0.0167 loss: 2.0519 03/11 08:50:03 - mmengine - INFO - Epoch(train) [216][ 600/1252] lr: 3.4218e-03 eta: 1 day, 21:48:57 time: 0.3196 data_time: 0.0032 loss: 2.1037 03/11 08:50:36 - mmengine - INFO - Epoch(train) [216][ 700/1252] lr: 3.4218e-03 eta: 1 day, 21:48:20 time: 0.3208 data_time: 0.0354 loss: 2.1384 03/11 08:51:12 - mmengine - INFO - Epoch(train) [216][ 800/1252] lr: 3.4218e-03 eta: 1 day, 21:47:48 time: 0.3746 data_time: 0.0289 loss: 1.8951 03/11 08:51:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:51:46 - mmengine - INFO - Epoch(train) [216][ 900/1252] lr: 3.4218e-03 eta: 1 day, 21:47:13 time: 0.3010 data_time: 0.0941 loss: 1.9353 03/11 08:52:19 - mmengine - INFO - Epoch(train) [216][1000/1252] lr: 3.4218e-03 eta: 1 day, 21:46:36 time: 0.3701 data_time: 0.0033 loss: 2.0162 03/11 08:52:53 - mmengine - INFO - Epoch(train) [216][1100/1252] lr: 3.4218e-03 eta: 1 day, 21:46:01 time: 0.3040 data_time: 0.0040 loss: 2.0357 03/11 08:53:28 - mmengine - INFO - Epoch(train) [216][1200/1252] lr: 3.4218e-03 eta: 1 day, 21:45:27 time: 0.3447 data_time: 0.0605 loss: 1.9624 03/11 08:53:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:53:45 - mmengine - INFO - Saving checkpoint at 216 epochs 03/11 08:54:10 - mmengine - INFO - Epoch(val) [216][49/49] accuracy/top1: 61.3860 accuracy/top5: 83.4560 03/11 08:54:48 - mmengine - INFO - Epoch(train) [217][ 100/1252] lr: 3.3294e-03 eta: 1 day, 21:44:40 time: 0.3995 data_time: 0.0034 loss: 2.0193 03/11 08:55:21 - mmengine - INFO - Epoch(train) [217][ 200/1252] lr: 3.3294e-03 eta: 1 day, 21:44:03 time: 0.3896 data_time: 0.1135 loss: 2.0457 03/11 08:55:55 - mmengine - INFO - Epoch(train) [217][ 300/1252] lr: 3.3294e-03 eta: 1 day, 21:43:26 time: 0.3094 data_time: 0.0036 loss: 2.1121 03/11 08:56:29 - mmengine - INFO - Epoch(train) [217][ 400/1252] lr: 3.3294e-03 eta: 1 day, 21:42:53 time: 0.3593 data_time: 0.0041 loss: 1.9407 03/11 08:57:03 - mmengine - INFO - Epoch(train) [217][ 500/1252] lr: 3.3294e-03 eta: 1 day, 21:42:17 time: 0.3274 data_time: 0.1653 loss: 2.0531 03/11 08:57:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 08:57:37 - mmengine - INFO - Epoch(train) [217][ 600/1252] lr: 3.3294e-03 eta: 1 day, 21:41:41 time: 0.3538 data_time: 0.0030 loss: 2.0071 03/11 08:58:11 - mmengine - INFO - Epoch(train) [217][ 700/1252] lr: 3.3294e-03 eta: 1 day, 21:41:07 time: 0.3418 data_time: 0.0036 loss: 2.0543 03/11 08:58:44 - mmengine - INFO - Epoch(train) [217][ 800/1252] lr: 3.3294e-03 eta: 1 day, 21:40:29 time: 0.3405 data_time: 0.0100 loss: 2.0363 03/11 08:59:19 - mmengine - INFO - Epoch(train) [217][ 900/1252] lr: 3.3294e-03 eta: 1 day, 21:39:56 time: 0.3536 data_time: 0.0031 loss: 1.9309 03/11 08:59:53 - mmengine - INFO - Epoch(train) [217][1000/1252] lr: 3.3294e-03 eta: 1 day, 21:39:20 time: 0.4016 data_time: 0.1347 loss: 2.0782 03/11 09:00:27 - mmengine - INFO - Epoch(train) [217][1100/1252] lr: 3.3294e-03 eta: 1 day, 21:38:45 time: 0.4145 data_time: 0.0255 loss: 2.1302 03/11 09:01:01 - mmengine - INFO - Epoch(train) [217][1200/1252] lr: 3.3294e-03 eta: 1 day, 21:38:09 time: 0.3620 data_time: 0.0031 loss: 2.1128 03/11 09:01:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:01:18 - mmengine - INFO - Saving checkpoint at 217 epochs 03/11 09:01:44 - mmengine - INFO - Epoch(val) [217][49/49] accuracy/top1: 59.6160 accuracy/top5: 81.9600 03/11 09:02:21 - mmengine - INFO - Epoch(train) [218][ 100/1252] lr: 3.3294e-03 eta: 1 day, 21:37:22 time: 0.3391 data_time: 0.0038 loss: 1.9377 03/11 09:02:55 - mmengine - INFO - Epoch(train) [218][ 200/1252] lr: 3.3294e-03 eta: 1 day, 21:36:45 time: 0.3117 data_time: 0.0034 loss: 1.9465 03/11 09:03:29 - mmengine - INFO - Epoch(train) [218][ 300/1252] lr: 3.3294e-03 eta: 1 day, 21:36:11 time: 0.2913 data_time: 0.0040 loss: 2.0009 03/11 09:03:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:04:03 - mmengine - INFO - Epoch(train) [218][ 400/1252] lr: 3.3294e-03 eta: 1 day, 21:35:35 time: 0.2466 data_time: 0.0033 loss: 2.0645 03/11 09:04:37 - mmengine - INFO - Epoch(train) [218][ 500/1252] lr: 3.3294e-03 eta: 1 day, 21:35:02 time: 0.3478 data_time: 0.0038 loss: 2.0310 03/11 09:05:12 - mmengine - INFO - Epoch(train) [218][ 600/1252] lr: 3.3294e-03 eta: 1 day, 21:34:27 time: 0.3752 data_time: 0.2297 loss: 2.0727 03/11 09:05:45 - mmengine - INFO - Epoch(train) [218][ 700/1252] lr: 3.3294e-03 eta: 1 day, 21:33:51 time: 0.2997 data_time: 0.0036 loss: 2.0372 03/11 09:06:19 - mmengine - INFO - Epoch(train) [218][ 800/1252] lr: 3.3294e-03 eta: 1 day, 21:33:16 time: 0.4004 data_time: 0.1920 loss: 2.0163 03/11 09:06:54 - mmengine - INFO - Epoch(train) [218][ 900/1252] lr: 3.3294e-03 eta: 1 day, 21:32:41 time: 0.3793 data_time: 0.1868 loss: 2.0113 03/11 09:07:28 - mmengine - INFO - Epoch(train) [218][1000/1252] lr: 3.3294e-03 eta: 1 day, 21:32:07 time: 0.3877 data_time: 0.2295 loss: 2.0377 03/11 09:08:02 - mmengine - INFO - Epoch(train) [218][1100/1252] lr: 3.3294e-03 eta: 1 day, 21:31:31 time: 0.3912 data_time: 0.1028 loss: 2.0665 03/11 09:08:35 - mmengine - INFO - Epoch(train) [218][1200/1252] lr: 3.3294e-03 eta: 1 day, 21:30:55 time: 0.3497 data_time: 0.0647 loss: 1.9983 03/11 09:08:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:08:53 - mmengine - INFO - Saving checkpoint at 218 epochs 03/11 09:09:19 - mmengine - INFO - Epoch(val) [218][49/49] accuracy/top1: 58.7140 accuracy/top5: 81.3860 03/11 09:09:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:09:55 - mmengine - INFO - Epoch(train) [219][ 100/1252] lr: 3.2395e-03 eta: 1 day, 21:30:06 time: 0.3448 data_time: 0.0035 loss: 2.0292 03/11 09:10:29 - mmengine - INFO - Epoch(train) [219][ 200/1252] lr: 3.2395e-03 eta: 1 day, 21:29:31 time: 0.3369 data_time: 0.0042 loss: 1.9606 03/11 09:11:03 - mmengine - INFO - Epoch(train) [219][ 300/1252] lr: 3.2395e-03 eta: 1 day, 21:28:54 time: 0.2891 data_time: 0.0037 loss: 1.9635 03/11 09:11:37 - mmengine - INFO - Epoch(train) [219][ 400/1252] lr: 3.2395e-03 eta: 1 day, 21:28:19 time: 0.3311 data_time: 0.1649 loss: 2.0106 03/11 09:12:11 - mmengine - INFO - Epoch(train) [219][ 500/1252] lr: 3.2395e-03 eta: 1 day, 21:27:44 time: 0.3105 data_time: 0.1042 loss: 2.1166 03/11 09:12:45 - mmengine - INFO - Epoch(train) [219][ 600/1252] lr: 3.2395e-03 eta: 1 day, 21:27:09 time: 0.3598 data_time: 0.0037 loss: 2.0294 03/11 09:13:19 - mmengine - INFO - Epoch(train) [219][ 700/1252] lr: 3.2395e-03 eta: 1 day, 21:26:33 time: 0.2913 data_time: 0.0033 loss: 1.9452 03/11 09:13:53 - mmengine - INFO - Epoch(train) [219][ 800/1252] lr: 3.2395e-03 eta: 1 day, 21:25:58 time: 0.2792 data_time: 0.0035 loss: 2.0262 03/11 09:14:26 - mmengine - INFO - Epoch(train) [219][ 900/1252] lr: 3.2395e-03 eta: 1 day, 21:25:22 time: 0.3543 data_time: 0.0388 loss: 2.0925 03/11 09:15:01 - mmengine - INFO - Epoch(train) [219][1000/1252] lr: 3.2395e-03 eta: 1 day, 21:24:47 time: 0.3487 data_time: 0.0036 loss: 2.0046 03/11 09:15:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:15:35 - mmengine - INFO - Epoch(train) [219][1100/1252] lr: 3.2395e-03 eta: 1 day, 21:24:11 time: 0.3668 data_time: 0.0070 loss: 2.0094 03/11 09:16:09 - mmengine - INFO - Epoch(train) [219][1200/1252] lr: 3.2395e-03 eta: 1 day, 21:23:37 time: 0.3375 data_time: 0.0033 loss: 2.0459 03/11 09:16:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:16:25 - mmengine - INFO - Saving checkpoint at 219 epochs 03/11 09:16:49 - mmengine - INFO - Epoch(val) [219][49/49] accuracy/top1: 60.5900 accuracy/top5: 82.9460 03/11 09:17:25 - mmengine - INFO - Epoch(train) [220][ 100/1252] lr: 3.2395e-03 eta: 1 day, 21:22:45 time: 0.3550 data_time: 0.1145 loss: 2.0134 03/11 09:17:59 - mmengine - INFO - Epoch(train) [220][ 200/1252] lr: 3.2395e-03 eta: 1 day, 21:22:09 time: 0.3626 data_time: 0.0038 loss: 2.0067 03/11 09:18:33 - mmengine - INFO - Epoch(train) [220][ 300/1252] lr: 3.2395e-03 eta: 1 day, 21:21:33 time: 0.3461 data_time: 0.0155 loss: 1.9020 03/11 09:19:07 - mmengine - INFO - Epoch(train) [220][ 400/1252] lr: 3.2395e-03 eta: 1 day, 21:20:59 time: 0.3940 data_time: 0.0035 loss: 1.9342 03/11 09:19:41 - mmengine - INFO - Epoch(train) [220][ 500/1252] lr: 3.2395e-03 eta: 1 day, 21:20:24 time: 0.3701 data_time: 0.1859 loss: 2.0255 03/11 09:20:15 - mmengine - INFO - Epoch(train) [220][ 600/1252] lr: 3.2395e-03 eta: 1 day, 21:19:48 time: 0.3181 data_time: 0.1938 loss: 2.0763 03/11 09:20:49 - mmengine - INFO - Epoch(train) [220][ 700/1252] lr: 3.2395e-03 eta: 1 day, 21:19:13 time: 0.3680 data_time: 0.0035 loss: 2.0086 03/11 09:21:22 - mmengine - INFO - Epoch(train) [220][ 800/1252] lr: 3.2395e-03 eta: 1 day, 21:18:35 time: 0.2787 data_time: 0.0032 loss: 2.0165 03/11 09:21:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:21:57 - mmengine - INFO - Epoch(train) [220][ 900/1252] lr: 3.2395e-03 eta: 1 day, 21:18:02 time: 0.3460 data_time: 0.1246 loss: 2.0130 03/11 09:22:30 - mmengine - INFO - Epoch(train) [220][1000/1252] lr: 3.2395e-03 eta: 1 day, 21:17:25 time: 0.3395 data_time: 0.1861 loss: 2.0364 03/11 09:23:05 - mmengine - INFO - Epoch(train) [220][1100/1252] lr: 3.2395e-03 eta: 1 day, 21:16:50 time: 0.3240 data_time: 0.0790 loss: 1.9392 03/11 09:23:39 - mmengine - INFO - Epoch(train) [220][1200/1252] lr: 3.2395e-03 eta: 1 day, 21:16:16 time: 0.3891 data_time: 0.0374 loss: 1.9090 03/11 09:23:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:23:56 - mmengine - INFO - Saving checkpoint at 220 epochs 03/11 09:24:21 - mmengine - INFO - Epoch(val) [220][49/49] accuracy/top1: 60.8640 accuracy/top5: 83.0020 03/11 09:24:59 - mmengine - INFO - Epoch(train) [221][ 100/1252] lr: 3.1520e-03 eta: 1 day, 21:15:30 time: 0.4100 data_time: 0.0033 loss: 1.8998 03/11 09:25:32 - mmengine - INFO - Epoch(train) [221][ 200/1252] lr: 3.1520e-03 eta: 1 day, 21:14:53 time: 0.3725 data_time: 0.0039 loss: 2.0627 03/11 09:26:06 - mmengine - INFO - Epoch(train) [221][ 300/1252] lr: 3.1520e-03 eta: 1 day, 21:14:18 time: 0.4144 data_time: 0.0033 loss: 2.0135 03/11 09:26:40 - mmengine - INFO - Epoch(train) [221][ 400/1252] lr: 3.1520e-03 eta: 1 day, 21:13:43 time: 0.3081 data_time: 0.0031 loss: 1.9430 03/11 09:27:14 - mmengine - INFO - Epoch(train) [221][ 500/1252] lr: 3.1520e-03 eta: 1 day, 21:13:09 time: 0.3170 data_time: 0.1909 loss: 2.0142 03/11 09:27:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:27:48 - mmengine - INFO - Epoch(train) [221][ 600/1252] lr: 3.1520e-03 eta: 1 day, 21:12:32 time: 0.3133 data_time: 0.0033 loss: 2.0920 03/11 09:28:22 - mmengine - INFO - Epoch(train) [221][ 700/1252] lr: 3.1520e-03 eta: 1 day, 21:11:56 time: 0.3443 data_time: 0.2233 loss: 2.1027 03/11 09:28:55 - mmengine - INFO - Epoch(train) [221][ 800/1252] lr: 3.1520e-03 eta: 1 day, 21:11:20 time: 0.3380 data_time: 0.1838 loss: 1.9739 03/11 09:29:30 - mmengine - INFO - Epoch(train) [221][ 900/1252] lr: 3.1520e-03 eta: 1 day, 21:10:46 time: 0.2798 data_time: 0.0573 loss: 2.0680 03/11 09:30:04 - mmengine - INFO - Epoch(train) [221][1000/1252] lr: 3.1520e-03 eta: 1 day, 21:10:11 time: 0.3503 data_time: 0.0032 loss: 2.1556 03/11 09:30:38 - mmengine - INFO - Epoch(train) [221][1100/1252] lr: 3.1520e-03 eta: 1 day, 21:09:36 time: 0.3200 data_time: 0.0261 loss: 2.0779 03/11 09:31:12 - mmengine - INFO - Epoch(train) [221][1200/1252] lr: 3.1520e-03 eta: 1 day, 21:09:02 time: 0.3321 data_time: 0.0822 loss: 2.0474 03/11 09:31:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:31:29 - mmengine - INFO - Saving checkpoint at 221 epochs 03/11 09:31:54 - mmengine - INFO - Epoch(val) [221][49/49] accuracy/top1: 59.5360 accuracy/top5: 82.0980 03/11 09:32:31 - mmengine - INFO - Epoch(train) [222][ 100/1252] lr: 3.1520e-03 eta: 1 day, 21:08:14 time: 0.3905 data_time: 0.0040 loss: 2.0009 03/11 09:33:05 - mmengine - INFO - Epoch(train) [222][ 200/1252] lr: 3.1520e-03 eta: 1 day, 21:07:38 time: 0.3417 data_time: 0.0933 loss: 1.9661 03/11 09:33:38 - mmengine - INFO - Epoch(train) [222][ 300/1252] lr: 3.1520e-03 eta: 1 day, 21:07:01 time: 0.2985 data_time: 0.0143 loss: 2.1080 03/11 09:33:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:34:12 - mmengine - INFO - Epoch(train) [222][ 400/1252] lr: 3.1520e-03 eta: 1 day, 21:06:27 time: 0.3143 data_time: 0.0193 loss: 1.9952 03/11 09:34:47 - mmengine - INFO - Epoch(train) [222][ 500/1252] lr: 3.1520e-03 eta: 1 day, 21:05:52 time: 0.2883 data_time: 0.0623 loss: 2.0068 03/11 09:35:21 - mmengine - INFO - Epoch(train) [222][ 600/1252] lr: 3.1520e-03 eta: 1 day, 21:05:18 time: 0.3865 data_time: 0.2617 loss: 2.1291 03/11 09:35:55 - mmengine - INFO - Epoch(train) [222][ 700/1252] lr: 3.1520e-03 eta: 1 day, 21:04:42 time: 0.3479 data_time: 0.0782 loss: 1.9272 03/11 09:36:29 - mmengine - INFO - Epoch(train) [222][ 800/1252] lr: 3.1520e-03 eta: 1 day, 21:04:07 time: 0.3443 data_time: 0.0035 loss: 1.9790 03/11 09:37:02 - mmengine - INFO - Epoch(train) [222][ 900/1252] lr: 3.1520e-03 eta: 1 day, 21:03:31 time: 0.3072 data_time: 0.0345 loss: 2.0923 03/11 09:37:36 - mmengine - INFO - Epoch(train) [222][1000/1252] lr: 3.1520e-03 eta: 1 day, 21:02:55 time: 0.3138 data_time: 0.0879 loss: 2.0113 03/11 09:38:11 - mmengine - INFO - Epoch(train) [222][1100/1252] lr: 3.1520e-03 eta: 1 day, 21:02:22 time: 0.3871 data_time: 0.0030 loss: 1.9798 03/11 09:38:45 - mmengine - INFO - Epoch(train) [222][1200/1252] lr: 3.1520e-03 eta: 1 day, 21:01:45 time: 0.3092 data_time: 0.0933 loss: 1.9668 03/11 09:39:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:39:01 - mmengine - INFO - Saving checkpoint at 222 epochs 03/11 09:39:27 - mmengine - INFO - Epoch(val) [222][49/49] accuracy/top1: 61.6720 accuracy/top5: 83.5680 03/11 09:39:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:40:04 - mmengine - INFO - Epoch(train) [223][ 100/1252] lr: 3.0669e-03 eta: 1 day, 21:00:55 time: 0.3189 data_time: 0.1632 loss: 2.0391 03/11 09:40:39 - mmengine - INFO - Epoch(train) [223][ 200/1252] lr: 3.0669e-03 eta: 1 day, 21:00:22 time: 0.3865 data_time: 0.0034 loss: 2.0193 03/11 09:41:13 - mmengine - INFO - Epoch(train) [223][ 300/1252] lr: 3.0669e-03 eta: 1 day, 20:59:47 time: 0.3428 data_time: 0.0959 loss: 1.9954 03/11 09:41:46 - mmengine - INFO - Epoch(train) [223][ 400/1252] lr: 3.0669e-03 eta: 1 day, 20:59:11 time: 0.3419 data_time: 0.1479 loss: 2.0944 03/11 09:42:20 - mmengine - INFO - Epoch(train) [223][ 500/1252] lr: 3.0669e-03 eta: 1 day, 20:58:35 time: 0.2776 data_time: 0.0174 loss: 1.9837 03/11 09:42:54 - mmengine - INFO - Epoch(train) [223][ 600/1252] lr: 3.0669e-03 eta: 1 day, 20:58:00 time: 0.2911 data_time: 0.0033 loss: 1.9732 03/11 09:43:28 - mmengine - INFO - Epoch(train) [223][ 700/1252] lr: 3.0669e-03 eta: 1 day, 20:57:23 time: 0.3279 data_time: 0.0182 loss: 1.9138 03/11 09:44:02 - mmengine - INFO - Epoch(train) [223][ 800/1252] lr: 3.0669e-03 eta: 1 day, 20:56:49 time: 0.3782 data_time: 0.0032 loss: 2.0409 03/11 09:44:36 - mmengine - INFO - Epoch(train) [223][ 900/1252] lr: 3.0669e-03 eta: 1 day, 20:56:13 time: 0.4039 data_time: 0.0162 loss: 1.9394 03/11 09:45:10 - mmengine - INFO - Epoch(train) [223][1000/1252] lr: 3.0669e-03 eta: 1 day, 20:55:38 time: 0.3481 data_time: 0.0514 loss: 2.1786 03/11 09:45:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:45:44 - mmengine - INFO - Epoch(train) [223][1100/1252] lr: 3.0669e-03 eta: 1 day, 20:55:03 time: 0.3074 data_time: 0.0046 loss: 2.0608 03/11 09:46:19 - mmengine - INFO - Epoch(train) [223][1200/1252] lr: 3.0669e-03 eta: 1 day, 20:54:30 time: 0.3603 data_time: 0.0037 loss: 1.9539 03/11 09:46:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:46:35 - mmengine - INFO - Saving checkpoint at 223 epochs 03/11 09:47:00 - mmengine - INFO - Epoch(val) [223][49/49] accuracy/top1: 60.7400 accuracy/top5: 82.9820 03/11 09:47:37 - mmengine - INFO - Epoch(train) [224][ 100/1252] lr: 3.0669e-03 eta: 1 day, 20:53:40 time: 0.3018 data_time: 0.0040 loss: 2.0306 03/11 09:48:11 - mmengine - INFO - Epoch(train) [224][ 200/1252] lr: 3.0669e-03 eta: 1 day, 20:53:05 time: 0.3842 data_time: 0.0041 loss: 2.0178 03/11 09:48:45 - mmengine - INFO - Epoch(train) [224][ 300/1252] lr: 3.0669e-03 eta: 1 day, 20:52:29 time: 0.3735 data_time: 0.1626 loss: 2.1311 03/11 09:49:19 - mmengine - INFO - Epoch(train) [224][ 400/1252] lr: 3.0669e-03 eta: 1 day, 20:51:54 time: 0.3156 data_time: 0.0049 loss: 1.9060 03/11 09:49:54 - mmengine - INFO - Epoch(train) [224][ 500/1252] lr: 3.0669e-03 eta: 1 day, 20:51:20 time: 0.3738 data_time: 0.0230 loss: 2.0044 03/11 09:50:27 - mmengine - INFO - Epoch(train) [224][ 600/1252] lr: 3.0669e-03 eta: 1 day, 20:50:43 time: 0.3426 data_time: 0.1524 loss: 1.9182 03/11 09:51:02 - mmengine - INFO - Epoch(train) [224][ 700/1252] lr: 3.0669e-03 eta: 1 day, 20:50:10 time: 0.3442 data_time: 0.0045 loss: 2.0718 03/11 09:51:35 - mmengine - INFO - Epoch(train) [224][ 800/1252] lr: 3.0669e-03 eta: 1 day, 20:49:32 time: 0.3062 data_time: 0.1781 loss: 2.0254 03/11 09:51:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:52:08 - mmengine - INFO - Epoch(train) [224][ 900/1252] lr: 3.0669e-03 eta: 1 day, 20:48:57 time: 0.3174 data_time: 0.0750 loss: 1.9864 03/11 09:52:43 - mmengine - INFO - Epoch(train) [224][1000/1252] lr: 3.0669e-03 eta: 1 day, 20:48:22 time: 0.3487 data_time: 0.0890 loss: 2.0416 03/11 09:53:17 - mmengine - INFO - Epoch(train) [224][1100/1252] lr: 3.0669e-03 eta: 1 day, 20:47:48 time: 0.3458 data_time: 0.0032 loss: 2.0258 03/11 09:53:51 - mmengine - INFO - Epoch(train) [224][1200/1252] lr: 3.0669e-03 eta: 1 day, 20:47:12 time: 0.3429 data_time: 0.0809 loss: 1.9143 03/11 09:54:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:54:08 - mmengine - INFO - Saving checkpoint at 224 epochs 03/11 09:54:32 - mmengine - INFO - Epoch(val) [224][49/49] accuracy/top1: 61.0700 accuracy/top5: 83.0240 03/11 09:55:09 - mmengine - INFO - Epoch(train) [225][ 100/1252] lr: 2.9841e-03 eta: 1 day, 20:46:22 time: 0.3751 data_time: 0.0650 loss: 1.9810 03/11 09:55:42 - mmengine - INFO - Epoch(train) [225][ 200/1252] lr: 2.9841e-03 eta: 1 day, 20:45:46 time: 0.2895 data_time: 0.0037 loss: 1.9494 03/11 09:56:17 - mmengine - INFO - Epoch(train) [225][ 300/1252] lr: 2.9841e-03 eta: 1 day, 20:45:13 time: 0.4284 data_time: 0.0432 loss: 1.8840 03/11 09:56:51 - mmengine - INFO - Epoch(train) [225][ 400/1252] lr: 2.9841e-03 eta: 1 day, 20:44:37 time: 0.3284 data_time: 0.1307 loss: 1.9347 03/11 09:57:25 - mmengine - INFO - Epoch(train) [225][ 500/1252] lr: 2.9841e-03 eta: 1 day, 20:44:02 time: 0.3248 data_time: 0.0037 loss: 2.1119 03/11 09:57:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 09:58:00 - mmengine - INFO - Epoch(train) [225][ 600/1252] lr: 2.9841e-03 eta: 1 day, 20:43:28 time: 0.3440 data_time: 0.0034 loss: 2.0980 03/11 09:58:33 - mmengine - INFO - Epoch(train) [225][ 700/1252] lr: 2.9841e-03 eta: 1 day, 20:42:52 time: 0.3088 data_time: 0.0047 loss: 2.0241 03/11 09:59:08 - mmengine - INFO - Epoch(train) [225][ 800/1252] lr: 2.9841e-03 eta: 1 day, 20:42:18 time: 0.4016 data_time: 0.0036 loss: 2.0587 03/11 09:59:41 - mmengine - INFO - Epoch(train) [225][ 900/1252] lr: 2.9841e-03 eta: 1 day, 20:41:42 time: 0.3599 data_time: 0.1108 loss: 2.1324 03/11 10:00:16 - mmengine - INFO - Epoch(train) [225][1000/1252] lr: 2.9841e-03 eta: 1 day, 20:41:08 time: 0.3635 data_time: 0.1212 loss: 2.0775 03/11 10:00:50 - mmengine - INFO - Epoch(train) [225][1100/1252] lr: 2.9841e-03 eta: 1 day, 20:40:34 time: 0.3951 data_time: 0.2332 loss: 2.0147 03/11 10:01:24 - mmengine - INFO - Epoch(train) [225][1200/1252] lr: 2.9841e-03 eta: 1 day, 20:39:58 time: 0.3643 data_time: 0.0213 loss: 2.0418 03/11 10:01:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:01:41 - mmengine - INFO - Saving checkpoint at 225 epochs 03/11 10:02:06 - mmengine - INFO - Epoch(val) [225][49/49] accuracy/top1: 59.4560 accuracy/top5: 82.0040 03/11 10:02:43 - mmengine - INFO - Epoch(train) [226][ 100/1252] lr: 2.9841e-03 eta: 1 day, 20:39:09 time: 0.3796 data_time: 0.0034 loss: 2.0169 03/11 10:03:18 - mmengine - INFO - Epoch(train) [226][ 200/1252] lr: 2.9841e-03 eta: 1 day, 20:38:35 time: 0.3181 data_time: 0.0089 loss: 1.9483 03/11 10:03:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:03:51 - mmengine - INFO - Epoch(train) [226][ 300/1252] lr: 2.9841e-03 eta: 1 day, 20:37:59 time: 0.3159 data_time: 0.0031 loss: 1.9550 03/11 10:04:25 - mmengine - INFO - Epoch(train) [226][ 400/1252] lr: 2.9841e-03 eta: 1 day, 20:37:24 time: 0.3388 data_time: 0.0922 loss: 1.9706 03/11 10:04:59 - mmengine - INFO - Epoch(train) [226][ 500/1252] lr: 2.9841e-03 eta: 1 day, 20:36:49 time: 0.3031 data_time: 0.1466 loss: 1.9012 03/11 10:05:34 - mmengine - INFO - Epoch(train) [226][ 600/1252] lr: 2.9841e-03 eta: 1 day, 20:36:15 time: 0.4347 data_time: 0.0039 loss: 2.0152 03/11 10:06:07 - mmengine - INFO - Epoch(train) [226][ 700/1252] lr: 2.9841e-03 eta: 1 day, 20:35:39 time: 0.3379 data_time: 0.0036 loss: 1.8950 03/11 10:06:41 - mmengine - INFO - Epoch(train) [226][ 800/1252] lr: 2.9841e-03 eta: 1 day, 20:35:03 time: 0.4172 data_time: 0.0040 loss: 1.9629 03/11 10:07:16 - mmengine - INFO - Epoch(train) [226][ 900/1252] lr: 2.9841e-03 eta: 1 day, 20:34:30 time: 0.3956 data_time: 0.1723 loss: 1.9952 03/11 10:07:49 - mmengine - INFO - Epoch(train) [226][1000/1252] lr: 2.9841e-03 eta: 1 day, 20:33:52 time: 0.3516 data_time: 0.1786 loss: 2.0716 03/11 10:08:23 - mmengine - INFO - Epoch(train) [226][1100/1252] lr: 2.9841e-03 eta: 1 day, 20:33:17 time: 0.3416 data_time: 0.0037 loss: 1.9307 03/11 10:08:57 - mmengine - INFO - Epoch(train) [226][1200/1252] lr: 2.9841e-03 eta: 1 day, 20:32:43 time: 0.3410 data_time: 0.0194 loss: 2.0438 03/11 10:09:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:09:14 - mmengine - INFO - Saving checkpoint at 226 epochs 03/11 10:09:42 - mmengine - INFO - Epoch(val) [226][49/49] accuracy/top1: 61.9520 accuracy/top5: 83.7140 03/11 10:10:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:10:18 - mmengine - INFO - Epoch(train) [227][ 100/1252] lr: 2.9036e-03 eta: 1 day, 20:31:53 time: 0.2900 data_time: 0.0038 loss: 2.1113 03/11 10:10:52 - mmengine - INFO - Epoch(train) [227][ 200/1252] lr: 2.9036e-03 eta: 1 day, 20:31:18 time: 0.3281 data_time: 0.0459 loss: 1.9798 03/11 10:11:27 - mmengine - INFO - Epoch(train) [227][ 300/1252] lr: 2.9036e-03 eta: 1 day, 20:30:44 time: 0.3886 data_time: 0.2515 loss: 1.9755 03/11 10:12:00 - mmengine - INFO - Epoch(train) [227][ 400/1252] lr: 2.9036e-03 eta: 1 day, 20:30:09 time: 0.3263 data_time: 0.0136 loss: 1.9438 03/11 10:12:34 - mmengine - INFO - Epoch(train) [227][ 500/1252] lr: 2.9036e-03 eta: 1 day, 20:29:33 time: 0.2816 data_time: 0.0035 loss: 2.0448 03/11 10:13:08 - mmengine - INFO - Epoch(train) [227][ 600/1252] lr: 2.9036e-03 eta: 1 day, 20:28:57 time: 0.3181 data_time: 0.1338 loss: 1.9379 03/11 10:13:42 - mmengine - INFO - Epoch(train) [227][ 700/1252] lr: 2.9036e-03 eta: 1 day, 20:28:22 time: 0.3667 data_time: 0.0205 loss: 2.0402 03/11 10:14:16 - mmengine - INFO - Epoch(train) [227][ 800/1252] lr: 2.9036e-03 eta: 1 day, 20:27:46 time: 0.3054 data_time: 0.0035 loss: 1.9591 03/11 10:14:50 - mmengine - INFO - Epoch(train) [227][ 900/1252] lr: 2.9036e-03 eta: 1 day, 20:27:12 time: 0.3197 data_time: 0.0033 loss: 1.9290 03/11 10:15:24 - mmengine - INFO - Epoch(train) [227][1000/1252] lr: 2.9036e-03 eta: 1 day, 20:26:37 time: 0.3228 data_time: 0.1895 loss: 2.0213 03/11 10:15:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:15:57 - mmengine - INFO - Epoch(train) [227][1100/1252] lr: 2.9036e-03 eta: 1 day, 20:26:00 time: 0.2843 data_time: 0.0049 loss: 2.0679 03/11 10:16:32 - mmengine - INFO - Epoch(train) [227][1200/1252] lr: 2.9036e-03 eta: 1 day, 20:25:25 time: 0.2992 data_time: 0.1398 loss: 2.0423 03/11 10:16:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:16:49 - mmengine - INFO - Saving checkpoint at 227 epochs 03/11 10:17:13 - mmengine - INFO - Epoch(val) [227][49/49] accuracy/top1: 62.2140 accuracy/top5: 83.9000 03/11 10:17:49 - mmengine - INFO - Epoch(train) [228][ 100/1252] lr: 2.9036e-03 eta: 1 day, 20:24:36 time: 0.3135 data_time: 0.1387 loss: 1.9873 03/11 10:18:24 - mmengine - INFO - Epoch(train) [228][ 200/1252] lr: 2.9036e-03 eta: 1 day, 20:24:03 time: 0.3775 data_time: 0.0037 loss: 1.9821 03/11 10:18:58 - mmengine - INFO - Epoch(train) [228][ 300/1252] lr: 2.9036e-03 eta: 1 day, 20:23:28 time: 0.3138 data_time: 0.0041 loss: 2.0749 03/11 10:19:32 - mmengine - INFO - Epoch(train) [228][ 400/1252] lr: 2.9036e-03 eta: 1 day, 20:22:53 time: 0.3786 data_time: 0.0144 loss: 1.8917 03/11 10:20:06 - mmengine - INFO - Epoch(train) [228][ 500/1252] lr: 2.9036e-03 eta: 1 day, 20:22:17 time: 0.3681 data_time: 0.0751 loss: 1.9843 03/11 10:20:40 - mmengine - INFO - Epoch(train) [228][ 600/1252] lr: 2.9036e-03 eta: 1 day, 20:21:43 time: 0.3623 data_time: 0.1517 loss: 2.0939 03/11 10:21:14 - mmengine - INFO - Epoch(train) [228][ 700/1252] lr: 2.9036e-03 eta: 1 day, 20:21:06 time: 0.3678 data_time: 0.1406 loss: 1.9435 03/11 10:21:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:21:48 - mmengine - INFO - Epoch(train) [228][ 800/1252] lr: 2.9036e-03 eta: 1 day, 20:20:31 time: 0.3022 data_time: 0.1182 loss: 1.9511 03/11 10:22:21 - mmengine - INFO - Epoch(train) [228][ 900/1252] lr: 2.9036e-03 eta: 1 day, 20:19:55 time: 0.3689 data_time: 0.0041 loss: 2.0375 03/11 10:22:56 - mmengine - INFO - Epoch(train) [228][1000/1252] lr: 2.9036e-03 eta: 1 day, 20:19:21 time: 0.3706 data_time: 0.0447 loss: 1.9529 03/11 10:23:29 - mmengine - INFO - Epoch(train) [228][1100/1252] lr: 2.9036e-03 eta: 1 day, 20:18:45 time: 0.3406 data_time: 0.1316 loss: 2.1897 03/11 10:24:03 - mmengine - INFO - Epoch(train) [228][1200/1252] lr: 2.9036e-03 eta: 1 day, 20:18:09 time: 0.3379 data_time: 0.1901 loss: 2.0044 03/11 10:24:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:24:20 - mmengine - INFO - Saving checkpoint at 228 epochs 03/11 10:24:44 - mmengine - INFO - Epoch(val) [228][49/49] accuracy/top1: 62.9880 accuracy/top5: 84.5280 03/11 10:25:21 - mmengine - INFO - Epoch(train) [229][ 100/1252] lr: 2.8252e-03 eta: 1 day, 20:17:21 time: 0.3340 data_time: 0.1087 loss: 1.9792 03/11 10:25:56 - mmengine - INFO - Epoch(train) [229][ 200/1252] lr: 2.8252e-03 eta: 1 day, 20:16:47 time: 0.3403 data_time: 0.0036 loss: 1.8498 03/11 10:26:29 - mmengine - INFO - Epoch(train) [229][ 300/1252] lr: 2.8252e-03 eta: 1 day, 20:16:11 time: 0.3387 data_time: 0.0142 loss: 2.0360 03/11 10:27:03 - mmengine - INFO - Epoch(train) [229][ 400/1252] lr: 2.8252e-03 eta: 1 day, 20:15:36 time: 0.2963 data_time: 0.0399 loss: 2.0171 03/11 10:27:38 - mmengine - INFO - Epoch(train) [229][ 500/1252] lr: 2.8252e-03 eta: 1 day, 20:15:01 time: 0.3210 data_time: 0.0035 loss: 1.9698 03/11 10:27:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:28:12 - mmengine - INFO - Epoch(train) [229][ 600/1252] lr: 2.8252e-03 eta: 1 day, 20:14:27 time: 0.3198 data_time: 0.0036 loss: 1.8788 03/11 10:28:46 - mmengine - INFO - Epoch(train) [229][ 700/1252] lr: 2.8252e-03 eta: 1 day, 20:13:51 time: 0.3307 data_time: 0.0035 loss: 1.9575 03/11 10:29:20 - mmengine - INFO - Epoch(train) [229][ 800/1252] lr: 2.8252e-03 eta: 1 day, 20:13:16 time: 0.3375 data_time: 0.0095 loss: 1.9909 03/11 10:29:54 - mmengine - INFO - Epoch(train) [229][ 900/1252] lr: 2.8252e-03 eta: 1 day, 20:12:42 time: 0.3860 data_time: 0.1581 loss: 2.1025 03/11 10:30:28 - mmengine - INFO - Epoch(train) [229][1000/1252] lr: 2.8252e-03 eta: 1 day, 20:12:07 time: 0.3423 data_time: 0.0439 loss: 2.0559 03/11 10:31:02 - mmengine - INFO - Epoch(train) [229][1100/1252] lr: 2.8252e-03 eta: 1 day, 20:11:30 time: 0.3496 data_time: 0.0316 loss: 1.7839 03/11 10:31:36 - mmengine - INFO - Epoch(train) [229][1200/1252] lr: 2.8252e-03 eta: 1 day, 20:10:56 time: 0.3926 data_time: 0.1840 loss: 1.9646 03/11 10:31:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:31:53 - mmengine - INFO - Saving checkpoint at 229 epochs 03/11 10:32:18 - mmengine - INFO - Epoch(val) [229][49/49] accuracy/top1: 60.1880 accuracy/top5: 82.1780 03/11 10:32:54 - mmengine - INFO - Epoch(train) [230][ 100/1252] lr: 2.8252e-03 eta: 1 day, 20:10:05 time: 0.3425 data_time: 0.1902 loss: 2.1042 03/11 10:33:29 - mmengine - INFO - Epoch(train) [230][ 200/1252] lr: 2.8252e-03 eta: 1 day, 20:09:31 time: 0.3401 data_time: 0.1306 loss: 1.9693 03/11 10:34:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:34:03 - mmengine - INFO - Epoch(train) [230][ 300/1252] lr: 2.8252e-03 eta: 1 day, 20:08:58 time: 0.4302 data_time: 0.0468 loss: 1.9561 03/11 10:34:36 - mmengine - INFO - Epoch(train) [230][ 400/1252] lr: 2.8252e-03 eta: 1 day, 20:08:20 time: 0.3614 data_time: 0.0518 loss: 2.0184 03/11 10:35:11 - mmengine - INFO - Epoch(train) [230][ 500/1252] lr: 2.8252e-03 eta: 1 day, 20:07:46 time: 0.2996 data_time: 0.1587 loss: 1.9841 03/11 10:35:44 - mmengine - INFO - Epoch(train) [230][ 600/1252] lr: 2.8252e-03 eta: 1 day, 20:07:10 time: 0.3073 data_time: 0.0097 loss: 1.9328 03/11 10:36:18 - mmengine - INFO - Epoch(train) [230][ 700/1252] lr: 2.8252e-03 eta: 1 day, 20:06:34 time: 0.3250 data_time: 0.0036 loss: 1.8856 03/11 10:36:53 - mmengine - INFO - Epoch(train) [230][ 800/1252] lr: 2.8252e-03 eta: 1 day, 20:06:01 time: 0.4016 data_time: 0.0033 loss: 1.8754 03/11 10:37:26 - mmengine - INFO - Epoch(train) [230][ 900/1252] lr: 2.8252e-03 eta: 1 day, 20:05:24 time: 0.3238 data_time: 0.1122 loss: 1.9312 03/11 10:38:00 - mmengine - INFO - Epoch(train) [230][1000/1252] lr: 2.8252e-03 eta: 1 day, 20:04:49 time: 0.3069 data_time: 0.0839 loss: 1.9479 03/11 10:38:34 - mmengine - INFO - Epoch(train) [230][1100/1252] lr: 2.8252e-03 eta: 1 day, 20:04:14 time: 0.3457 data_time: 0.2041 loss: 1.9820 03/11 10:39:08 - mmengine - INFO - Epoch(train) [230][1200/1252] lr: 2.8252e-03 eta: 1 day, 20:03:39 time: 0.2921 data_time: 0.0035 loss: 2.0860 03/11 10:39:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:39:25 - mmengine - INFO - Saving checkpoint at 230 epochs 03/11 10:39:50 - mmengine - INFO - Epoch(val) [230][49/49] accuracy/top1: 60.9680 accuracy/top5: 82.8840 03/11 10:40:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:40:27 - mmengine - INFO - Epoch(train) [231][ 100/1252] lr: 2.7489e-03 eta: 1 day, 20:02:51 time: 0.4046 data_time: 0.0729 loss: 2.0103 03/11 10:41:01 - mmengine - INFO - Epoch(train) [231][ 200/1252] lr: 2.7489e-03 eta: 1 day, 20:02:16 time: 0.3774 data_time: 0.0204 loss: 1.9610 03/11 10:41:35 - mmengine - INFO - Epoch(train) [231][ 300/1252] lr: 2.7489e-03 eta: 1 day, 20:01:42 time: 0.3418 data_time: 0.0046 loss: 1.9981 03/11 10:42:10 - mmengine - INFO - Epoch(train) [231][ 400/1252] lr: 2.7489e-03 eta: 1 day, 20:01:08 time: 0.3195 data_time: 0.0033 loss: 2.0919 03/11 10:42:43 - mmengine - INFO - Epoch(train) [231][ 500/1252] lr: 2.7489e-03 eta: 1 day, 20:00:32 time: 0.3668 data_time: 0.1325 loss: 1.8452 03/11 10:43:17 - mmengine - INFO - Epoch(train) [231][ 600/1252] lr: 2.7489e-03 eta: 1 day, 19:59:56 time: 0.3227 data_time: 0.0037 loss: 2.0352 03/11 10:43:52 - mmengine - INFO - Epoch(train) [231][ 700/1252] lr: 2.7489e-03 eta: 1 day, 19:59:22 time: 0.3195 data_time: 0.0220 loss: 2.1334 03/11 10:44:25 - mmengine - INFO - Epoch(train) [231][ 800/1252] lr: 2.7489e-03 eta: 1 day, 19:58:45 time: 0.3220 data_time: 0.0072 loss: 2.0209 03/11 10:44:59 - mmengine - INFO - Epoch(train) [231][ 900/1252] lr: 2.7489e-03 eta: 1 day, 19:58:12 time: 0.3402 data_time: 0.1660 loss: 2.0006 03/11 10:45:34 - mmengine - INFO - Epoch(train) [231][1000/1252] lr: 2.7489e-03 eta: 1 day, 19:57:37 time: 0.3049 data_time: 0.0205 loss: 2.0176 03/11 10:45:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:46:08 - mmengine - INFO - Epoch(train) [231][1100/1252] lr: 2.7489e-03 eta: 1 day, 19:57:02 time: 0.3367 data_time: 0.0469 loss: 1.9656 03/11 10:46:42 - mmengine - INFO - Epoch(train) [231][1200/1252] lr: 2.7489e-03 eta: 1 day, 19:56:28 time: 0.3522 data_time: 0.0325 loss: 1.8273 03/11 10:46:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:46:59 - mmengine - INFO - Saving checkpoint at 231 epochs 03/11 10:47:25 - mmengine - INFO - Epoch(val) [231][49/49] accuracy/top1: 61.4140 accuracy/top5: 83.3640 03/11 10:48:02 - mmengine - INFO - Epoch(train) [232][ 100/1252] lr: 2.7489e-03 eta: 1 day, 19:55:38 time: 0.3684 data_time: 0.0663 loss: 2.0742 03/11 10:48:36 - mmengine - INFO - Epoch(train) [232][ 200/1252] lr: 2.7489e-03 eta: 1 day, 19:55:03 time: 0.3579 data_time: 0.0037 loss: 1.9390 03/11 10:49:09 - mmengine - INFO - Epoch(train) [232][ 300/1252] lr: 2.7489e-03 eta: 1 day, 19:54:26 time: 0.3216 data_time: 0.0042 loss: 1.8694 03/11 10:49:43 - mmengine - INFO - Epoch(train) [232][ 400/1252] lr: 2.7489e-03 eta: 1 day, 19:53:52 time: 0.3939 data_time: 0.0602 loss: 2.0510 03/11 10:50:17 - mmengine - INFO - Epoch(train) [232][ 500/1252] lr: 2.7489e-03 eta: 1 day, 19:53:16 time: 0.3810 data_time: 0.0594 loss: 1.9833 03/11 10:50:51 - mmengine - INFO - Epoch(train) [232][ 600/1252] lr: 2.7489e-03 eta: 1 day, 19:52:41 time: 0.4181 data_time: 0.2543 loss: 1.9113 03/11 10:51:25 - mmengine - INFO - Epoch(train) [232][ 700/1252] lr: 2.7489e-03 eta: 1 day, 19:52:06 time: 0.3007 data_time: 0.0041 loss: 1.9828 03/11 10:51:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:51:58 - mmengine - INFO - Epoch(train) [232][ 800/1252] lr: 2.7489e-03 eta: 1 day, 19:51:30 time: 0.2975 data_time: 0.0036 loss: 1.9200 03/11 10:52:33 - mmengine - INFO - Epoch(train) [232][ 900/1252] lr: 2.7489e-03 eta: 1 day, 19:50:57 time: 0.3812 data_time: 0.0035 loss: 1.9545 03/11 10:53:07 - mmengine - INFO - Epoch(train) [232][1000/1252] lr: 2.7489e-03 eta: 1 day, 19:50:22 time: 0.3613 data_time: 0.2134 loss: 2.1040 03/11 10:53:41 - mmengine - INFO - Epoch(train) [232][1100/1252] lr: 2.7489e-03 eta: 1 day, 19:49:45 time: 0.3451 data_time: 0.0301 loss: 1.9893 03/11 10:54:14 - mmengine - INFO - Epoch(train) [232][1200/1252] lr: 2.7489e-03 eta: 1 day, 19:49:09 time: 0.3000 data_time: 0.0038 loss: 2.0433 03/11 10:54:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:54:31 - mmengine - INFO - Saving checkpoint at 232 epochs 03/11 10:54:56 - mmengine - INFO - Epoch(val) [232][49/49] accuracy/top1: 61.7240 accuracy/top5: 83.5360 03/11 10:55:32 - mmengine - INFO - Epoch(train) [233][ 100/1252] lr: 2.6747e-03 eta: 1 day, 19:48:19 time: 0.3558 data_time: 0.2163 loss: 1.9270 03/11 10:56:07 - mmengine - INFO - Epoch(train) [233][ 200/1252] lr: 2.6747e-03 eta: 1 day, 19:47:45 time: 0.3290 data_time: 0.0036 loss: 1.9564 03/11 10:56:41 - mmengine - INFO - Epoch(train) [233][ 300/1252] lr: 2.6747e-03 eta: 1 day, 19:47:10 time: 0.3603 data_time: 0.0031 loss: 1.9848 03/11 10:57:15 - mmengine - INFO - Epoch(train) [233][ 400/1252] lr: 2.6747e-03 eta: 1 day, 19:46:35 time: 0.4036 data_time: 0.0894 loss: 2.0126 03/11 10:57:48 - mmengine - INFO - Epoch(train) [233][ 500/1252] lr: 2.6747e-03 eta: 1 day, 19:45:58 time: 0.3329 data_time: 0.0036 loss: 2.0181 03/11 10:58:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 10:58:23 - mmengine - INFO - Epoch(train) [233][ 600/1252] lr: 2.6747e-03 eta: 1 day, 19:45:24 time: 0.2981 data_time: 0.0545 loss: 1.9771 03/11 10:58:57 - mmengine - INFO - Epoch(train) [233][ 700/1252] lr: 2.6747e-03 eta: 1 day, 19:44:50 time: 0.3962 data_time: 0.0639 loss: 2.0001 03/11 10:59:31 - mmengine - INFO - Epoch(train) [233][ 800/1252] lr: 2.6747e-03 eta: 1 day, 19:44:15 time: 0.3560 data_time: 0.1514 loss: 2.0907 03/11 11:00:05 - mmengine - INFO - Epoch(train) [233][ 900/1252] lr: 2.6747e-03 eta: 1 day, 19:43:39 time: 0.3432 data_time: 0.1983 loss: 2.0423 03/11 11:00:39 - mmengine - INFO - Epoch(train) [233][1000/1252] lr: 2.6747e-03 eta: 1 day, 19:43:05 time: 0.3373 data_time: 0.2122 loss: 2.0873 03/11 11:01:12 - mmengine - INFO - Epoch(train) [233][1100/1252] lr: 2.6747e-03 eta: 1 day, 19:42:28 time: 0.3491 data_time: 0.0349 loss: 2.0671 03/11 11:01:46 - mmengine - INFO - Epoch(train) [233][1200/1252] lr: 2.6747e-03 eta: 1 day, 19:41:52 time: 0.3503 data_time: 0.2234 loss: 1.9774 03/11 11:02:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:02:04 - mmengine - INFO - Saving checkpoint at 233 epochs 03/11 11:02:28 - mmengine - INFO - Epoch(val) [233][49/49] accuracy/top1: 60.8640 accuracy/top5: 82.9840 03/11 11:03:04 - mmengine - INFO - Epoch(train) [234][ 100/1252] lr: 2.6747e-03 eta: 1 day, 19:41:03 time: 0.3177 data_time: 0.0039 loss: 2.0589 03/11 11:03:38 - mmengine - INFO - Epoch(train) [234][ 200/1252] lr: 2.6747e-03 eta: 1 day, 19:40:29 time: 0.3952 data_time: 0.0874 loss: 2.0419 03/11 11:04:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:04:12 - mmengine - INFO - Epoch(train) [234][ 300/1252] lr: 2.6747e-03 eta: 1 day, 19:39:54 time: 0.3513 data_time: 0.1043 loss: 1.9906 03/11 11:04:46 - mmengine - INFO - Epoch(train) [234][ 400/1252] lr: 2.6747e-03 eta: 1 day, 19:39:19 time: 0.3510 data_time: 0.1554 loss: 2.0624 03/11 11:05:20 - mmengine - INFO - Epoch(train) [234][ 500/1252] lr: 2.6747e-03 eta: 1 day, 19:38:44 time: 0.3544 data_time: 0.0035 loss: 2.0002 03/11 11:05:54 - mmengine - INFO - Epoch(train) [234][ 600/1252] lr: 2.6747e-03 eta: 1 day, 19:38:09 time: 0.3728 data_time: 0.0043 loss: 1.9384 03/11 11:06:29 - mmengine - INFO - Epoch(train) [234][ 700/1252] lr: 2.6747e-03 eta: 1 day, 19:37:35 time: 0.3689 data_time: 0.0029 loss: 2.0099 03/11 11:07:02 - mmengine - INFO - Epoch(train) [234][ 800/1252] lr: 2.6747e-03 eta: 1 day, 19:36:58 time: 0.3364 data_time: 0.0031 loss: 2.0052 03/11 11:07:36 - mmengine - INFO - Epoch(train) [234][ 900/1252] lr: 2.6747e-03 eta: 1 day, 19:36:24 time: 0.3266 data_time: 0.0712 loss: 1.9818 03/11 11:08:10 - mmengine - INFO - Epoch(train) [234][1000/1252] lr: 2.6747e-03 eta: 1 day, 19:35:47 time: 0.3308 data_time: 0.0037 loss: 2.0265 03/11 11:08:44 - mmengine - INFO - Epoch(train) [234][1100/1252] lr: 2.6747e-03 eta: 1 day, 19:35:13 time: 0.3419 data_time: 0.0037 loss: 1.8689 03/11 11:09:17 - mmengine - INFO - Epoch(train) [234][1200/1252] lr: 2.6747e-03 eta: 1 day, 19:34:37 time: 0.3223 data_time: 0.1475 loss: 2.0372 03/11 11:09:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:09:35 - mmengine - INFO - Saving checkpoint at 234 epochs 03/11 11:10:00 - mmengine - INFO - Epoch(val) [234][49/49] accuracy/top1: 61.3180 accuracy/top5: 83.2520 03/11 11:10:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:10:37 - mmengine - INFO - Epoch(train) [235][ 100/1252] lr: 2.6024e-03 eta: 1 day, 19:33:50 time: 0.3055 data_time: 0.1579 loss: 1.9891 03/11 11:11:11 - mmengine - INFO - Epoch(train) [235][ 200/1252] lr: 2.6024e-03 eta: 1 day, 19:33:15 time: 0.3544 data_time: 0.1792 loss: 2.0854 03/11 11:11:46 - mmengine - INFO - Epoch(train) [235][ 300/1252] lr: 2.6024e-03 eta: 1 day, 19:32:41 time: 0.3720 data_time: 0.0195 loss: 1.9466 03/11 11:12:19 - mmengine - INFO - Epoch(train) [235][ 400/1252] lr: 2.6024e-03 eta: 1 day, 19:32:06 time: 0.3232 data_time: 0.0034 loss: 2.0277 03/11 11:12:53 - mmengine - INFO - Epoch(train) [235][ 500/1252] lr: 2.6024e-03 eta: 1 day, 19:31:30 time: 0.3025 data_time: 0.0468 loss: 1.9449 03/11 11:13:27 - mmengine - INFO - Epoch(train) [235][ 600/1252] lr: 2.6024e-03 eta: 1 day, 19:30:56 time: 0.3339 data_time: 0.0854 loss: 1.9688 03/11 11:14:01 - mmengine - INFO - Epoch(train) [235][ 700/1252] lr: 2.6024e-03 eta: 1 day, 19:30:21 time: 0.3772 data_time: 0.0722 loss: 2.0155 03/11 11:14:35 - mmengine - INFO - Epoch(train) [235][ 800/1252] lr: 2.6024e-03 eta: 1 day, 19:29:45 time: 0.3247 data_time: 0.0034 loss: 2.0145 03/11 11:15:10 - mmengine - INFO - Epoch(train) [235][ 900/1252] lr: 2.6024e-03 eta: 1 day, 19:29:11 time: 0.3749 data_time: 0.1862 loss: 1.8618 03/11 11:15:44 - mmengine - INFO - Epoch(train) [235][1000/1252] lr: 2.6024e-03 eta: 1 day, 19:28:36 time: 0.3079 data_time: 0.0039 loss: 2.0990 03/11 11:15:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:16:18 - mmengine - INFO - Epoch(train) [235][1100/1252] lr: 2.6024e-03 eta: 1 day, 19:28:02 time: 0.3622 data_time: 0.2406 loss: 2.0330 03/11 11:16:51 - mmengine - INFO - Epoch(train) [235][1200/1252] lr: 2.6024e-03 eta: 1 day, 19:27:26 time: 0.3081 data_time: 0.0042 loss: 1.8041 03/11 11:17:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:17:09 - mmengine - INFO - Saving checkpoint at 235 epochs 03/11 11:17:33 - mmengine - INFO - Epoch(val) [235][49/49] accuracy/top1: 62.6080 accuracy/top5: 84.2720 03/11 11:18:10 - mmengine - INFO - Epoch(train) [236][ 100/1252] lr: 2.6024e-03 eta: 1 day, 19:26:38 time: 0.3050 data_time: 0.0043 loss: 1.9924 03/11 11:18:44 - mmengine - INFO - Epoch(train) [236][ 200/1252] lr: 2.6024e-03 eta: 1 day, 19:26:01 time: 0.3470 data_time: 0.0044 loss: 1.9693 03/11 11:19:18 - mmengine - INFO - Epoch(train) [236][ 300/1252] lr: 2.6024e-03 eta: 1 day, 19:25:27 time: 0.3537 data_time: 0.0576 loss: 1.8779 03/11 11:19:52 - mmengine - INFO - Epoch(train) [236][ 400/1252] lr: 2.6024e-03 eta: 1 day, 19:24:52 time: 0.3430 data_time: 0.0035 loss: 1.9321 03/11 11:20:25 - mmengine - INFO - Epoch(train) [236][ 500/1252] lr: 2.6024e-03 eta: 1 day, 19:24:16 time: 0.3006 data_time: 0.0558 loss: 2.0336 03/11 11:21:00 - mmengine - INFO - Epoch(train) [236][ 600/1252] lr: 2.6024e-03 eta: 1 day, 19:23:42 time: 0.3481 data_time: 0.1770 loss: 1.9155 03/11 11:21:33 - mmengine - INFO - Epoch(train) [236][ 700/1252] lr: 2.6024e-03 eta: 1 day, 19:23:05 time: 0.3133 data_time: 0.1188 loss: 2.0364 03/11 11:22:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:22:08 - mmengine - INFO - Epoch(train) [236][ 800/1252] lr: 2.6024e-03 eta: 1 day, 19:22:31 time: 0.3020 data_time: 0.0034 loss: 2.0518 03/11 11:22:42 - mmengine - INFO - Epoch(train) [236][ 900/1252] lr: 2.6024e-03 eta: 1 day, 19:21:56 time: 0.3075 data_time: 0.0972 loss: 2.0374 03/11 11:23:15 - mmengine - INFO - Epoch(train) [236][1000/1252] lr: 2.6024e-03 eta: 1 day, 19:21:20 time: 0.2849 data_time: 0.1603 loss: 1.9434 03/11 11:23:49 - mmengine - INFO - Epoch(train) [236][1100/1252] lr: 2.6024e-03 eta: 1 day, 19:20:44 time: 0.3387 data_time: 0.0045 loss: 2.0657 03/11 11:24:23 - mmengine - INFO - Epoch(train) [236][1200/1252] lr: 2.6024e-03 eta: 1 day, 19:20:10 time: 0.3668 data_time: 0.1889 loss: 2.0291 03/11 11:24:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:24:40 - mmengine - INFO - Saving checkpoint at 236 epochs 03/11 11:25:05 - mmengine - INFO - Epoch(val) [236][49/49] accuracy/top1: 62.4680 accuracy/top5: 84.2360 03/11 11:25:42 - mmengine - INFO - Epoch(train) [237][ 100/1252] lr: 2.5322e-03 eta: 1 day, 19:19:21 time: 0.3674 data_time: 0.1858 loss: 1.9761 03/11 11:26:16 - mmengine - INFO - Epoch(train) [237][ 200/1252] lr: 2.5322e-03 eta: 1 day, 19:18:47 time: 0.3140 data_time: 0.1928 loss: 1.9139 03/11 11:26:50 - mmengine - INFO - Epoch(train) [237][ 300/1252] lr: 2.5322e-03 eta: 1 day, 19:18:11 time: 0.3108 data_time: 0.0039 loss: 1.9778 03/11 11:27:24 - mmengine - INFO - Epoch(train) [237][ 400/1252] lr: 2.5322e-03 eta: 1 day, 19:17:36 time: 0.3386 data_time: 0.0045 loss: 1.9175 03/11 11:27:59 - mmengine - INFO - Epoch(train) [237][ 500/1252] lr: 2.5322e-03 eta: 1 day, 19:17:03 time: 0.3362 data_time: 0.0042 loss: 2.0409 03/11 11:28:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:28:32 - mmengine - INFO - Epoch(train) [237][ 600/1252] lr: 2.5322e-03 eta: 1 day, 19:16:27 time: 0.3094 data_time: 0.0188 loss: 2.0087 03/11 11:29:07 - mmengine - INFO - Epoch(train) [237][ 700/1252] lr: 2.5322e-03 eta: 1 day, 19:15:52 time: 0.3152 data_time: 0.1273 loss: 2.0539 03/11 11:29:40 - mmengine - INFO - Epoch(train) [237][ 800/1252] lr: 2.5322e-03 eta: 1 day, 19:15:16 time: 0.3152 data_time: 0.1466 loss: 2.0687 03/11 11:30:15 - mmengine - INFO - Epoch(train) [237][ 900/1252] lr: 2.5322e-03 eta: 1 day, 19:14:42 time: 0.2723 data_time: 0.0039 loss: 1.9650 03/11 11:30:49 - mmengine - INFO - Epoch(train) [237][1000/1252] lr: 2.5322e-03 eta: 1 day, 19:14:07 time: 0.2865 data_time: 0.1672 loss: 1.8425 03/11 11:31:23 - mmengine - INFO - Epoch(train) [237][1100/1252] lr: 2.5322e-03 eta: 1 day, 19:13:32 time: 0.3084 data_time: 0.0037 loss: 1.9656 03/11 11:31:57 - mmengine - INFO - Epoch(train) [237][1200/1252] lr: 2.5322e-03 eta: 1 day, 19:12:58 time: 0.3764 data_time: 0.0272 loss: 1.8916 03/11 11:32:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:32:14 - mmengine - INFO - Saving checkpoint at 237 epochs 03/11 11:32:39 - mmengine - INFO - Epoch(val) [237][49/49] accuracy/top1: 63.1700 accuracy/top5: 84.8020 03/11 11:33:16 - mmengine - INFO - Epoch(train) [238][ 100/1252] lr: 2.5322e-03 eta: 1 day, 19:12:09 time: 0.3735 data_time: 0.1628 loss: 2.0333 03/11 11:33:51 - mmengine - INFO - Epoch(train) [238][ 200/1252] lr: 2.5322e-03 eta: 1 day, 19:11:35 time: 0.3286 data_time: 0.1054 loss: 1.9856 03/11 11:34:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:34:24 - mmengine - INFO - Epoch(train) [238][ 300/1252] lr: 2.5322e-03 eta: 1 day, 19:10:59 time: 0.3163 data_time: 0.0042 loss: 2.0605 03/11 11:34:58 - mmengine - INFO - Epoch(train) [238][ 400/1252] lr: 2.5322e-03 eta: 1 day, 19:10:24 time: 0.3421 data_time: 0.0379 loss: 2.0470 03/11 11:35:32 - mmengine - INFO - Epoch(train) [238][ 500/1252] lr: 2.5322e-03 eta: 1 day, 19:09:49 time: 0.3383 data_time: 0.0045 loss: 2.0628 03/11 11:36:06 - mmengine - INFO - Epoch(train) [238][ 600/1252] lr: 2.5322e-03 eta: 1 day, 19:09:13 time: 0.3513 data_time: 0.1842 loss: 1.9346 03/11 11:36:40 - mmengine - INFO - Epoch(train) [238][ 700/1252] lr: 2.5322e-03 eta: 1 day, 19:08:39 time: 0.3063 data_time: 0.0042 loss: 1.9696 03/11 11:37:14 - mmengine - INFO - Epoch(train) [238][ 800/1252] lr: 2.5322e-03 eta: 1 day, 19:08:04 time: 0.3529 data_time: 0.1021 loss: 2.0674 03/11 11:37:49 - mmengine - INFO - Epoch(train) [238][ 900/1252] lr: 2.5322e-03 eta: 1 day, 19:07:29 time: 0.3909 data_time: 0.0435 loss: 1.8392 03/11 11:38:23 - mmengine - INFO - Epoch(train) [238][1000/1252] lr: 2.5322e-03 eta: 1 day, 19:06:55 time: 0.4170 data_time: 0.0478 loss: 1.9162 03/11 11:38:57 - mmengine - INFO - Epoch(train) [238][1100/1252] lr: 2.5322e-03 eta: 1 day, 19:06:20 time: 0.2937 data_time: 0.0045 loss: 1.8123 03/11 11:39:31 - mmengine - INFO - Epoch(train) [238][1200/1252] lr: 2.5322e-03 eta: 1 day, 19:05:45 time: 0.3455 data_time: 0.1759 loss: 2.0070 03/11 11:39:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:39:48 - mmengine - INFO - Saving checkpoint at 238 epochs 03/11 11:40:12 - mmengine - INFO - Epoch(val) [238][49/49] accuracy/top1: 63.4320 accuracy/top5: 84.7860 03/11 11:40:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:40:49 - mmengine - INFO - Epoch(train) [239][ 100/1252] lr: 2.4638e-03 eta: 1 day, 19:04:56 time: 0.4212 data_time: 0.0130 loss: 1.8754 03/11 11:41:23 - mmengine - INFO - Epoch(train) [239][ 200/1252] lr: 2.4638e-03 eta: 1 day, 19:04:20 time: 0.2892 data_time: 0.0280 loss: 2.0224 03/11 11:41:57 - mmengine - INFO - Epoch(train) [239][ 300/1252] lr: 2.4638e-03 eta: 1 day, 19:03:45 time: 0.3024 data_time: 0.0082 loss: 1.9330 03/11 11:42:31 - mmengine - INFO - Epoch(train) [239][ 400/1252] lr: 2.4638e-03 eta: 1 day, 19:03:11 time: 0.3907 data_time: 0.0440 loss: 2.0535 03/11 11:43:05 - mmengine - INFO - Epoch(train) [239][ 500/1252] lr: 2.4638e-03 eta: 1 day, 19:02:36 time: 0.3474 data_time: 0.1806 loss: 2.0128 03/11 11:43:40 - mmengine - INFO - Epoch(train) [239][ 600/1252] lr: 2.4638e-03 eta: 1 day, 19:02:02 time: 0.3874 data_time: 0.0393 loss: 1.9307 03/11 11:44:14 - mmengine - INFO - Epoch(train) [239][ 700/1252] lr: 2.4638e-03 eta: 1 day, 19:01:27 time: 0.3789 data_time: 0.1873 loss: 2.0291 03/11 11:44:48 - mmengine - INFO - Epoch(train) [239][ 800/1252] lr: 2.4638e-03 eta: 1 day, 19:00:52 time: 0.3453 data_time: 0.1621 loss: 1.9266 03/11 11:45:22 - mmengine - INFO - Epoch(train) [239][ 900/1252] lr: 2.4638e-03 eta: 1 day, 19:00:17 time: 0.2869 data_time: 0.1609 loss: 1.9596 03/11 11:45:56 - mmengine - INFO - Epoch(train) [239][1000/1252] lr: 2.4638e-03 eta: 1 day, 18:59:43 time: 0.4161 data_time: 0.1855 loss: 1.8867 03/11 11:46:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:46:29 - mmengine - INFO - Epoch(train) [239][1100/1252] lr: 2.4638e-03 eta: 1 day, 18:59:06 time: 0.3049 data_time: 0.1467 loss: 1.8924 03/11 11:47:04 - mmengine - INFO - Epoch(train) [239][1200/1252] lr: 2.4638e-03 eta: 1 day, 18:58:32 time: 0.2968 data_time: 0.0481 loss: 1.9760 03/11 11:47:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:47:21 - mmengine - INFO - Saving checkpoint at 239 epochs 03/11 11:47:46 - mmengine - INFO - Epoch(val) [239][49/49] accuracy/top1: 61.8840 accuracy/top5: 83.5700 03/11 11:48:23 - mmengine - INFO - Epoch(train) [240][ 100/1252] lr: 2.4638e-03 eta: 1 day, 18:57:43 time: 0.3414 data_time: 0.0567 loss: 1.9564 03/11 11:48:57 - mmengine - INFO - Epoch(train) [240][ 200/1252] lr: 2.4638e-03 eta: 1 day, 18:57:08 time: 0.3591 data_time: 0.0033 loss: 1.8650 03/11 11:49:31 - mmengine - INFO - Epoch(train) [240][ 300/1252] lr: 2.4638e-03 eta: 1 day, 18:56:34 time: 0.3626 data_time: 0.0034 loss: 1.9909 03/11 11:50:05 - mmengine - INFO - Epoch(train) [240][ 400/1252] lr: 2.4638e-03 eta: 1 day, 18:55:58 time: 0.3124 data_time: 0.0783 loss: 2.0121 03/11 11:50:39 - mmengine - INFO - Epoch(train) [240][ 500/1252] lr: 2.4638e-03 eta: 1 day, 18:55:23 time: 0.3109 data_time: 0.1276 loss: 1.8452 03/11 11:51:13 - mmengine - INFO - Epoch(train) [240][ 600/1252] lr: 2.4638e-03 eta: 1 day, 18:54:49 time: 0.3388 data_time: 0.0038 loss: 1.9158 03/11 11:51:48 - mmengine - INFO - Epoch(train) [240][ 700/1252] lr: 2.4638e-03 eta: 1 day, 18:54:15 time: 0.3232 data_time: 0.0035 loss: 1.8885 03/11 11:52:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:52:21 - mmengine - INFO - Epoch(train) [240][ 800/1252] lr: 2.4638e-03 eta: 1 day, 18:53:40 time: 0.3967 data_time: 0.2025 loss: 2.0275 03/11 11:52:55 - mmengine - INFO - Epoch(train) [240][ 900/1252] lr: 2.4638e-03 eta: 1 day, 18:53:04 time: 0.3285 data_time: 0.0036 loss: 1.9789 03/11 11:53:29 - mmengine - INFO - Epoch(train) [240][1000/1252] lr: 2.4638e-03 eta: 1 day, 18:52:28 time: 0.3279 data_time: 0.0043 loss: 1.8893 03/11 11:54:03 - mmengine - INFO - Epoch(train) [240][1100/1252] lr: 2.4638e-03 eta: 1 day, 18:51:54 time: 0.3520 data_time: 0.0592 loss: 1.9718 03/11 11:54:38 - mmengine - INFO - Epoch(train) [240][1200/1252] lr: 2.4638e-03 eta: 1 day, 18:51:20 time: 0.3176 data_time: 0.0593 loss: 1.9383 03/11 11:54:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:54:54 - mmengine - INFO - Saving checkpoint at 240 epochs 03/11 11:55:20 - mmengine - INFO - Epoch(val) [240][49/49] accuracy/top1: 61.6640 accuracy/top5: 83.6040 03/11 11:55:57 - mmengine - INFO - Epoch(train) [241][ 100/1252] lr: 2.3973e-03 eta: 1 day, 18:50:30 time: 0.3614 data_time: 0.0041 loss: 1.9573 03/11 11:56:31 - mmengine - INFO - Epoch(train) [241][ 200/1252] lr: 2.3973e-03 eta: 1 day, 18:49:57 time: 0.3447 data_time: 0.0036 loss: 2.0720 03/11 11:57:05 - mmengine - INFO - Epoch(train) [241][ 300/1252] lr: 2.3973e-03 eta: 1 day, 18:49:21 time: 0.3310 data_time: 0.0036 loss: 2.0034 03/11 11:57:39 - mmengine - INFO - Epoch(train) [241][ 400/1252] lr: 2.3973e-03 eta: 1 day, 18:48:46 time: 0.3362 data_time: 0.1329 loss: 1.9703 03/11 11:58:14 - mmengine - INFO - Epoch(train) [241][ 500/1252] lr: 2.3973e-03 eta: 1 day, 18:48:13 time: 0.3303 data_time: 0.1906 loss: 1.8945 03/11 11:58:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 11:58:47 - mmengine - INFO - Epoch(train) [241][ 600/1252] lr: 2.3973e-03 eta: 1 day, 18:47:37 time: 0.3608 data_time: 0.1237 loss: 1.9903 03/11 11:59:21 - mmengine - INFO - Epoch(train) [241][ 700/1252] lr: 2.3973e-03 eta: 1 day, 18:47:01 time: 0.2990 data_time: 0.0040 loss: 1.8841 03/11 11:59:55 - mmengine - INFO - Epoch(train) [241][ 800/1252] lr: 2.3973e-03 eta: 1 day, 18:46:26 time: 0.3063 data_time: 0.1220 loss: 1.9794 03/11 12:00:29 - mmengine - INFO - Epoch(train) [241][ 900/1252] lr: 2.3973e-03 eta: 1 day, 18:45:51 time: 0.3146 data_time: 0.0036 loss: 1.8567 03/11 12:01:04 - mmengine - INFO - Epoch(train) [241][1000/1252] lr: 2.3973e-03 eta: 1 day, 18:45:18 time: 0.3913 data_time: 0.1888 loss: 2.0245 03/11 12:01:37 - mmengine - INFO - Epoch(train) [241][1100/1252] lr: 2.3973e-03 eta: 1 day, 18:44:41 time: 0.2854 data_time: 0.0086 loss: 2.0120 03/11 12:02:11 - mmengine - INFO - Epoch(train) [241][1200/1252] lr: 2.3973e-03 eta: 1 day, 18:44:07 time: 0.3318 data_time: 0.2154 loss: 2.0015 03/11 12:02:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:02:29 - mmengine - INFO - Saving checkpoint at 241 epochs 03/11 12:02:56 - mmengine - INFO - Epoch(val) [241][49/49] accuracy/top1: 61.7980 accuracy/top5: 83.7780 03/11 12:03:33 - mmengine - INFO - Epoch(train) [242][ 100/1252] lr: 2.3973e-03 eta: 1 day, 18:43:18 time: 0.3503 data_time: 0.0291 loss: 1.9128 03/11 12:04:07 - mmengine - INFO - Epoch(train) [242][ 200/1252] lr: 2.3973e-03 eta: 1 day, 18:42:43 time: 0.3192 data_time: 0.1076 loss: 2.0545 03/11 12:04:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:04:42 - mmengine - INFO - Epoch(train) [242][ 300/1252] lr: 2.3973e-03 eta: 1 day, 18:42:10 time: 0.3199 data_time: 0.0037 loss: 1.9154 03/11 12:05:15 - mmengine - INFO - Epoch(train) [242][ 400/1252] lr: 2.3973e-03 eta: 1 day, 18:41:34 time: 0.3199 data_time: 0.0773 loss: 1.9782 03/11 12:05:50 - mmengine - INFO - Epoch(train) [242][ 500/1252] lr: 2.3973e-03 eta: 1 day, 18:41:00 time: 0.3837 data_time: 0.1476 loss: 1.9540 03/11 12:06:23 - mmengine - INFO - Epoch(train) [242][ 600/1252] lr: 2.3973e-03 eta: 1 day, 18:40:24 time: 0.3573 data_time: 0.1687 loss: 1.9870 03/11 12:06:58 - mmengine - INFO - Epoch(train) [242][ 700/1252] lr: 2.3973e-03 eta: 1 day, 18:39:50 time: 0.3714 data_time: 0.0032 loss: 2.1110 03/11 12:07:31 - mmengine - INFO - Epoch(train) [242][ 800/1252] lr: 2.3973e-03 eta: 1 day, 18:39:14 time: 0.3548 data_time: 0.0098 loss: 2.0382 03/11 12:08:05 - mmengine - INFO - Epoch(train) [242][ 900/1252] lr: 2.3973e-03 eta: 1 day, 18:38:39 time: 0.3870 data_time: 0.1491 loss: 1.9182 03/11 12:08:39 - mmengine - INFO - Epoch(train) [242][1000/1252] lr: 2.3973e-03 eta: 1 day, 18:38:03 time: 0.3302 data_time: 0.0033 loss: 2.0419 03/11 12:09:13 - mmengine - INFO - Epoch(train) [242][1100/1252] lr: 2.3973e-03 eta: 1 day, 18:37:28 time: 0.3302 data_time: 0.0034 loss: 2.0304 03/11 12:09:47 - mmengine - INFO - Epoch(train) [242][1200/1252] lr: 2.3973e-03 eta: 1 day, 18:36:54 time: 0.3286 data_time: 0.0039 loss: 1.9536 03/11 12:10:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:10:04 - mmengine - INFO - Saving checkpoint at 242 epochs 03/11 12:10:30 - mmengine - INFO - Epoch(val) [242][49/49] accuracy/top1: 62.4980 accuracy/top5: 84.2900 03/11 12:10:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:11:06 - mmengine - INFO - Epoch(train) [243][ 100/1252] lr: 2.3326e-03 eta: 1 day, 18:36:03 time: 0.2797 data_time: 0.1357 loss: 1.8905 03/11 12:11:40 - mmengine - INFO - Epoch(train) [243][ 200/1252] lr: 2.3326e-03 eta: 1 day, 18:35:28 time: 0.3180 data_time: 0.0038 loss: 2.0265 03/11 12:12:15 - mmengine - INFO - Epoch(train) [243][ 300/1252] lr: 2.3326e-03 eta: 1 day, 18:34:55 time: 0.3749 data_time: 0.0644 loss: 1.9470 03/11 12:12:48 - mmengine - INFO - Epoch(train) [243][ 400/1252] lr: 2.3326e-03 eta: 1 day, 18:34:19 time: 0.3524 data_time: 0.0072 loss: 1.9591 03/11 12:13:23 - mmengine - INFO - Epoch(train) [243][ 500/1252] lr: 2.3326e-03 eta: 1 day, 18:33:44 time: 0.3414 data_time: 0.0256 loss: 1.9703 03/11 12:13:57 - mmengine - INFO - Epoch(train) [243][ 600/1252] lr: 2.3326e-03 eta: 1 day, 18:33:09 time: 0.3679 data_time: 0.0105 loss: 2.0319 03/11 12:14:31 - mmengine - INFO - Epoch(train) [243][ 700/1252] lr: 2.3326e-03 eta: 1 day, 18:32:34 time: 0.3117 data_time: 0.0394 loss: 2.0272 03/11 12:15:05 - mmengine - INFO - Epoch(train) [243][ 800/1252] lr: 2.3326e-03 eta: 1 day, 18:31:59 time: 0.3482 data_time: 0.0459 loss: 1.9704 03/11 12:15:38 - mmengine - INFO - Epoch(train) [243][ 900/1252] lr: 2.3326e-03 eta: 1 day, 18:31:24 time: 0.3017 data_time: 0.0035 loss: 1.9984 03/11 12:16:11 - mmengine - INFO - Epoch(train) [243][1000/1252] lr: 2.3326e-03 eta: 1 day, 18:30:46 time: 0.3142 data_time: 0.0066 loss: 1.9860 03/11 12:16:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:16:46 - mmengine - INFO - Epoch(train) [243][1100/1252] lr: 2.3326e-03 eta: 1 day, 18:30:12 time: 0.3566 data_time: 0.0785 loss: 2.0173 03/11 12:17:19 - mmengine - INFO - Epoch(train) [243][1200/1252] lr: 2.3326e-03 eta: 1 day, 18:29:37 time: 0.3747 data_time: 0.1252 loss: 1.9731 03/11 12:17:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:17:36 - mmengine - INFO - Saving checkpoint at 243 epochs 03/11 12:18:01 - mmengine - INFO - Epoch(val) [243][49/49] accuracy/top1: 61.9800 accuracy/top5: 83.8600 03/11 12:18:37 - mmengine - INFO - Epoch(train) [244][ 100/1252] lr: 2.3326e-03 eta: 1 day, 18:28:46 time: 0.2938 data_time: 0.0033 loss: 1.8981 03/11 12:19:12 - mmengine - INFO - Epoch(train) [244][ 200/1252] lr: 2.3326e-03 eta: 1 day, 18:28:12 time: 0.3704 data_time: 0.0037 loss: 1.9289 03/11 12:19:45 - mmengine - INFO - Epoch(train) [244][ 300/1252] lr: 2.3326e-03 eta: 1 day, 18:27:36 time: 0.3204 data_time: 0.0038 loss: 1.9158 03/11 12:20:20 - mmengine - INFO - Epoch(train) [244][ 400/1252] lr: 2.3326e-03 eta: 1 day, 18:27:01 time: 0.3391 data_time: 0.0203 loss: 2.0906 03/11 12:20:53 - mmengine - INFO - Epoch(train) [244][ 500/1252] lr: 2.3326e-03 eta: 1 day, 18:26:26 time: 0.3800 data_time: 0.0130 loss: 1.9406 03/11 12:21:28 - mmengine - INFO - Epoch(train) [244][ 600/1252] lr: 2.3326e-03 eta: 1 day, 18:25:51 time: 0.4062 data_time: 0.0159 loss: 2.0103 03/11 12:22:01 - mmengine - INFO - Epoch(train) [244][ 700/1252] lr: 2.3326e-03 eta: 1 day, 18:25:16 time: 0.2967 data_time: 0.0036 loss: 1.9619 03/11 12:22:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:22:35 - mmengine - INFO - Epoch(train) [244][ 800/1252] lr: 2.3326e-03 eta: 1 day, 18:24:41 time: 0.3525 data_time: 0.0037 loss: 2.0328 03/11 12:23:09 - mmengine - INFO - Epoch(train) [244][ 900/1252] lr: 2.3326e-03 eta: 1 day, 18:24:05 time: 0.3125 data_time: 0.0488 loss: 1.9293 03/11 12:23:43 - mmengine - INFO - Epoch(train) [244][1000/1252] lr: 2.3326e-03 eta: 1 day, 18:23:31 time: 0.3362 data_time: 0.2190 loss: 1.9739 03/11 12:24:17 - mmengine - INFO - Epoch(train) [244][1100/1252] lr: 2.3326e-03 eta: 1 day, 18:22:54 time: 0.2872 data_time: 0.0664 loss: 1.9800 03/11 12:24:51 - mmengine - INFO - Epoch(train) [244][1200/1252] lr: 2.3326e-03 eta: 1 day, 18:22:20 time: 0.3362 data_time: 0.0093 loss: 2.0528 03/11 12:25:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:25:08 - mmengine - INFO - Saving checkpoint at 244 epochs 03/11 12:25:32 - mmengine - INFO - Epoch(val) [244][49/49] accuracy/top1: 62.2040 accuracy/top5: 83.9880 03/11 12:26:08 - mmengine - INFO - Epoch(train) [245][ 100/1252] lr: 2.2696e-03 eta: 1 day, 18:21:29 time: 0.2491 data_time: 0.0038 loss: 1.8683 03/11 12:26:43 - mmengine - INFO - Epoch(train) [245][ 200/1252] lr: 2.2696e-03 eta: 1 day, 18:20:56 time: 0.3394 data_time: 0.1988 loss: 1.8488 03/11 12:27:17 - mmengine - INFO - Epoch(train) [245][ 300/1252] lr: 2.2696e-03 eta: 1 day, 18:20:22 time: 0.3907 data_time: 0.0033 loss: 1.8975 03/11 12:27:51 - mmengine - INFO - Epoch(train) [245][ 400/1252] lr: 2.2696e-03 eta: 1 day, 18:19:47 time: 0.3170 data_time: 0.1988 loss: 1.9130 03/11 12:28:25 - mmengine - INFO - Epoch(train) [245][ 500/1252] lr: 2.2696e-03 eta: 1 day, 18:19:11 time: 0.3284 data_time: 0.0038 loss: 2.0168 03/11 12:28:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:29:00 - mmengine - INFO - Epoch(train) [245][ 600/1252] lr: 2.2696e-03 eta: 1 day, 18:18:37 time: 0.3573 data_time: 0.0632 loss: 1.9666 03/11 12:29:33 - mmengine - INFO - Epoch(train) [245][ 700/1252] lr: 2.2696e-03 eta: 1 day, 18:18:02 time: 0.3495 data_time: 0.0039 loss: 2.0002 03/11 12:30:07 - mmengine - INFO - Epoch(train) [245][ 800/1252] lr: 2.2696e-03 eta: 1 day, 18:17:27 time: 0.3693 data_time: 0.0602 loss: 1.9692 03/11 12:30:41 - mmengine - INFO - Epoch(train) [245][ 900/1252] lr: 2.2696e-03 eta: 1 day, 18:16:51 time: 0.3018 data_time: 0.0034 loss: 1.9759 03/11 12:31:15 - mmengine - INFO - Epoch(train) [245][1000/1252] lr: 2.2696e-03 eta: 1 day, 18:16:16 time: 0.3104 data_time: 0.0172 loss: 1.8253 03/11 12:31:49 - mmengine - INFO - Epoch(train) [245][1100/1252] lr: 2.2696e-03 eta: 1 day, 18:15:41 time: 0.3130 data_time: 0.1363 loss: 1.8317 03/11 12:32:23 - mmengine - INFO - Epoch(train) [245][1200/1252] lr: 2.2696e-03 eta: 1 day, 18:15:07 time: 0.3439 data_time: 0.0036 loss: 1.9470 03/11 12:32:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:32:40 - mmengine - INFO - Saving checkpoint at 245 epochs 03/11 12:33:05 - mmengine - INFO - Epoch(val) [245][49/49] accuracy/top1: 63.3620 accuracy/top5: 84.5720 03/11 12:33:42 - mmengine - INFO - Epoch(train) [246][ 100/1252] lr: 2.2696e-03 eta: 1 day, 18:14:18 time: 0.3747 data_time: 0.1655 loss: 1.9809 03/11 12:34:16 - mmengine - INFO - Epoch(train) [246][ 200/1252] lr: 2.2696e-03 eta: 1 day, 18:13:42 time: 0.3034 data_time: 0.0042 loss: 2.1135 03/11 12:34:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:34:50 - mmengine - INFO - Epoch(train) [246][ 300/1252] lr: 2.2696e-03 eta: 1 day, 18:13:07 time: 0.3443 data_time: 0.1895 loss: 1.9830 03/11 12:35:25 - mmengine - INFO - Epoch(train) [246][ 400/1252] lr: 2.2696e-03 eta: 1 day, 18:12:34 time: 0.3892 data_time: 0.0047 loss: 1.9278 03/11 12:35:58 - mmengine - INFO - Epoch(train) [246][ 500/1252] lr: 2.2696e-03 eta: 1 day, 18:11:57 time: 0.3684 data_time: 0.0602 loss: 1.9296 03/11 12:36:33 - mmengine - INFO - Epoch(train) [246][ 600/1252] lr: 2.2696e-03 eta: 1 day, 18:11:24 time: 0.3379 data_time: 0.0039 loss: 1.9854 03/11 12:37:06 - mmengine - INFO - Epoch(train) [246][ 700/1252] lr: 2.2696e-03 eta: 1 day, 18:10:47 time: 0.3091 data_time: 0.0047 loss: 2.0357 03/11 12:37:41 - mmengine - INFO - Epoch(train) [246][ 800/1252] lr: 2.2696e-03 eta: 1 day, 18:10:14 time: 0.3071 data_time: 0.0040 loss: 1.9318 03/11 12:38:16 - mmengine - INFO - Epoch(train) [246][ 900/1252] lr: 2.2696e-03 eta: 1 day, 18:09:40 time: 0.3372 data_time: 0.1018 loss: 1.9864 03/11 12:38:50 - mmengine - INFO - Epoch(train) [246][1000/1252] lr: 2.2696e-03 eta: 1 day, 18:09:06 time: 0.3791 data_time: 0.0039 loss: 2.0220 03/11 12:39:25 - mmengine - INFO - Epoch(train) [246][1100/1252] lr: 2.2696e-03 eta: 1 day, 18:08:32 time: 0.3912 data_time: 0.0045 loss: 1.9108 03/11 12:39:59 - mmengine - INFO - Epoch(train) [246][1200/1252] lr: 2.2696e-03 eta: 1 day, 18:07:59 time: 0.2979 data_time: 0.0039 loss: 1.8990 03/11 12:40:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:40:16 - mmengine - INFO - Saving checkpoint at 246 epochs 03/11 12:40:43 - mmengine - INFO - Epoch(val) [246][49/49] accuracy/top1: 61.7740 accuracy/top5: 83.6080 03/11 12:40:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:41:20 - mmengine - INFO - Epoch(train) [247][ 100/1252] lr: 2.2083e-03 eta: 1 day, 18:07:08 time: 0.3695 data_time: 0.0038 loss: 1.8927 03/11 12:41:55 - mmengine - INFO - Epoch(train) [247][ 200/1252] lr: 2.2083e-03 eta: 1 day, 18:06:35 time: 0.3309 data_time: 0.0045 loss: 1.8455 03/11 12:42:29 - mmengine - INFO - Epoch(train) [247][ 300/1252] lr: 2.2083e-03 eta: 1 day, 18:05:59 time: 0.3120 data_time: 0.0975 loss: 1.9352 03/11 12:43:02 - mmengine - INFO - Epoch(train) [247][ 400/1252] lr: 2.2083e-03 eta: 1 day, 18:05:24 time: 0.3239 data_time: 0.0436 loss: 1.9938 03/11 12:43:37 - mmengine - INFO - Epoch(train) [247][ 500/1252] lr: 2.2083e-03 eta: 1 day, 18:04:51 time: 0.3522 data_time: 0.0041 loss: 1.9332 03/11 12:44:11 - mmengine - INFO - Epoch(train) [247][ 600/1252] lr: 2.2083e-03 eta: 1 day, 18:04:16 time: 0.3281 data_time: 0.0044 loss: 1.9461 03/11 12:44:46 - mmengine - INFO - Epoch(train) [247][ 700/1252] lr: 2.2083e-03 eta: 1 day, 18:03:42 time: 0.3249 data_time: 0.0039 loss: 1.8989 03/11 12:45:21 - mmengine - INFO - Epoch(train) [247][ 800/1252] lr: 2.2083e-03 eta: 1 day, 18:03:08 time: 0.3599 data_time: 0.0042 loss: 1.9042 03/11 12:45:56 - mmengine - INFO - Epoch(train) [247][ 900/1252] lr: 2.2083e-03 eta: 1 day, 18:02:35 time: 0.3382 data_time: 0.0044 loss: 1.8418 03/11 12:46:29 - mmengine - INFO - Epoch(train) [247][1000/1252] lr: 2.2083e-03 eta: 1 day, 18:01:59 time: 0.3185 data_time: 0.0040 loss: 1.8856 03/11 12:46:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:47:04 - mmengine - INFO - Epoch(train) [247][1100/1252] lr: 2.2083e-03 eta: 1 day, 18:01:26 time: 0.3849 data_time: 0.0038 loss: 1.9458 03/11 12:47:38 - mmengine - INFO - Epoch(train) [247][1200/1252] lr: 2.2083e-03 eta: 1 day, 18:00:51 time: 0.3430 data_time: 0.1896 loss: 1.9788 03/11 12:47:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:47:55 - mmengine - INFO - Saving checkpoint at 247 epochs 03/11 12:48:20 - mmengine - INFO - Epoch(val) [247][49/49] accuracy/top1: 61.7460 accuracy/top5: 83.5880 03/11 12:48:57 - mmengine - INFO - Epoch(train) [248][ 100/1252] lr: 2.2083e-03 eta: 1 day, 18:00:01 time: 0.3718 data_time: 0.1454 loss: 1.9738 03/11 12:49:31 - mmengine - INFO - Epoch(train) [248][ 200/1252] lr: 2.2083e-03 eta: 1 day, 17:59:26 time: 0.3503 data_time: 0.0798 loss: 2.0169 03/11 12:50:05 - mmengine - INFO - Epoch(train) [248][ 300/1252] lr: 2.2083e-03 eta: 1 day, 17:58:51 time: 0.3381 data_time: 0.0029 loss: 1.9829 03/11 12:50:39 - mmengine - INFO - Epoch(train) [248][ 400/1252] lr: 2.2083e-03 eta: 1 day, 17:58:16 time: 0.3842 data_time: 0.0035 loss: 2.0021 03/11 12:51:13 - mmengine - INFO - Epoch(train) [248][ 500/1252] lr: 2.2083e-03 eta: 1 day, 17:57:41 time: 0.3207 data_time: 0.0788 loss: 2.0009 03/11 12:51:47 - mmengine - INFO - Epoch(train) [248][ 600/1252] lr: 2.2083e-03 eta: 1 day, 17:57:07 time: 0.3749 data_time: 0.0032 loss: 1.8823 03/11 12:52:21 - mmengine - INFO - Epoch(train) [248][ 700/1252] lr: 2.2083e-03 eta: 1 day, 17:56:32 time: 0.3205 data_time: 0.0036 loss: 1.9700 03/11 12:52:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:52:55 - mmengine - INFO - Epoch(train) [248][ 800/1252] lr: 2.2083e-03 eta: 1 day, 17:55:56 time: 0.3739 data_time: 0.0034 loss: 1.9885 03/11 12:53:29 - mmengine - INFO - Epoch(train) [248][ 900/1252] lr: 2.2083e-03 eta: 1 day, 17:55:21 time: 0.3605 data_time: 0.0039 loss: 1.9340 03/11 12:54:03 - mmengine - INFO - Epoch(train) [248][1000/1252] lr: 2.2083e-03 eta: 1 day, 17:54:47 time: 0.3100 data_time: 0.0032 loss: 1.9543 03/11 12:54:36 - mmengine - INFO - Epoch(train) [248][1100/1252] lr: 2.2083e-03 eta: 1 day, 17:54:10 time: 0.3636 data_time: 0.0851 loss: 1.9066 03/11 12:55:10 - mmengine - INFO - Epoch(train) [248][1200/1252] lr: 2.2083e-03 eta: 1 day, 17:53:35 time: 0.3327 data_time: 0.0677 loss: 1.9185 03/11 12:55:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:55:27 - mmengine - INFO - Saving checkpoint at 248 epochs 03/11 12:55:52 - mmengine - INFO - Epoch(val) [248][49/49] accuracy/top1: 62.6940 accuracy/top5: 84.5300 03/11 12:56:28 - mmengine - INFO - Epoch(train) [249][ 100/1252] lr: 2.1487e-03 eta: 1 day, 17:52:46 time: 0.3454 data_time: 0.0458 loss: 1.9193 03/11 12:57:03 - mmengine - INFO - Epoch(train) [249][ 200/1252] lr: 2.1487e-03 eta: 1 day, 17:52:13 time: 0.4333 data_time: 0.0038 loss: 1.9986 03/11 12:57:36 - mmengine - INFO - Epoch(train) [249][ 300/1252] lr: 2.1487e-03 eta: 1 day, 17:51:36 time: 0.3033 data_time: 0.0031 loss: 1.9235 03/11 12:58:11 - mmengine - INFO - Epoch(train) [249][ 400/1252] lr: 2.1487e-03 eta: 1 day, 17:51:03 time: 0.3736 data_time: 0.0028 loss: 2.0375 03/11 12:58:44 - mmengine - INFO - Epoch(train) [249][ 500/1252] lr: 2.1487e-03 eta: 1 day, 17:50:27 time: 0.3485 data_time: 0.0274 loss: 1.9858 03/11 12:58:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 12:59:19 - mmengine - INFO - Epoch(train) [249][ 600/1252] lr: 2.1487e-03 eta: 1 day, 17:49:52 time: 0.3439 data_time: 0.0032 loss: 1.9329 03/11 12:59:53 - mmengine - INFO - Epoch(train) [249][ 700/1252] lr: 2.1487e-03 eta: 1 day, 17:49:18 time: 0.2777 data_time: 0.0029 loss: 1.9637 03/11 13:00:26 - mmengine - INFO - Epoch(train) [249][ 800/1252] lr: 2.1487e-03 eta: 1 day, 17:48:42 time: 0.3480 data_time: 0.1596 loss: 1.8631 03/11 13:01:00 - mmengine - INFO - Epoch(train) [249][ 900/1252] lr: 2.1487e-03 eta: 1 day, 17:48:07 time: 0.2807 data_time: 0.0035 loss: 1.9398 03/11 13:01:35 - mmengine - INFO - Epoch(train) [249][1000/1252] lr: 2.1487e-03 eta: 1 day, 17:47:33 time: 0.3603 data_time: 0.0032 loss: 1.8881 03/11 13:02:09 - mmengine - INFO - Epoch(train) [249][1100/1252] lr: 2.1487e-03 eta: 1 day, 17:46:58 time: 0.2952 data_time: 0.0030 loss: 2.0390 03/11 13:02:43 - mmengine - INFO - Epoch(train) [249][1200/1252] lr: 2.1487e-03 eta: 1 day, 17:46:23 time: 0.3556 data_time: 0.1054 loss: 1.9072 03/11 13:02:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:02:59 - mmengine - INFO - Saving checkpoint at 249 epochs 03/11 13:03:24 - mmengine - INFO - Epoch(val) [249][49/49] accuracy/top1: 62.0720 accuracy/top5: 84.0000 03/11 13:04:01 - mmengine - INFO - Epoch(train) [250][ 100/1252] lr: 2.1487e-03 eta: 1 day, 17:45:32 time: 0.3101 data_time: 0.0032 loss: 1.8960 03/11 13:04:35 - mmengine - INFO - Epoch(train) [250][ 200/1252] lr: 2.1487e-03 eta: 1 day, 17:44:58 time: 0.3029 data_time: 0.0034 loss: 1.9482 03/11 13:04:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:05:08 - mmengine - INFO - Epoch(train) [250][ 300/1252] lr: 2.1487e-03 eta: 1 day, 17:44:22 time: 0.3317 data_time: 0.0031 loss: 1.9736 03/11 13:05:42 - mmengine - INFO - Epoch(train) [250][ 400/1252] lr: 2.1487e-03 eta: 1 day, 17:43:46 time: 0.3092 data_time: 0.0036 loss: 1.9640 03/11 13:06:16 - mmengine - INFO - Epoch(train) [250][ 500/1252] lr: 2.1487e-03 eta: 1 day, 17:43:11 time: 0.2805 data_time: 0.0037 loss: 1.9185 03/11 13:06:50 - mmengine - INFO - Epoch(train) [250][ 600/1252] lr: 2.1487e-03 eta: 1 day, 17:42:37 time: 0.2959 data_time: 0.1469 loss: 2.0581 03/11 13:07:24 - mmengine - INFO - Epoch(train) [250][ 700/1252] lr: 2.1487e-03 eta: 1 day, 17:42:02 time: 0.3155 data_time: 0.0350 loss: 1.9689 03/11 13:07:58 - mmengine - INFO - Epoch(train) [250][ 800/1252] lr: 2.1487e-03 eta: 1 day, 17:41:27 time: 0.3452 data_time: 0.1702 loss: 1.9692 03/11 13:08:31 - mmengine - INFO - Epoch(train) [250][ 900/1252] lr: 2.1487e-03 eta: 1 day, 17:40:50 time: 0.3164 data_time: 0.0030 loss: 2.0277 03/11 13:09:06 - mmengine - INFO - Epoch(train) [250][1000/1252] lr: 2.1487e-03 eta: 1 day, 17:40:17 time: 0.3444 data_time: 0.0032 loss: 1.8811 03/11 13:09:40 - mmengine - INFO - Epoch(train) [250][1100/1252] lr: 2.1487e-03 eta: 1 day, 17:39:42 time: 0.3799 data_time: 0.0199 loss: 1.8647 03/11 13:10:14 - mmengine - INFO - Epoch(train) [250][1200/1252] lr: 2.1487e-03 eta: 1 day, 17:39:07 time: 0.3896 data_time: 0.1898 loss: 1.9750 03/11 13:10:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:10:31 - mmengine - INFO - Saving checkpoint at 250 epochs 03/11 13:10:55 - mmengine - INFO - Epoch(val) [250][49/49] accuracy/top1: 63.0920 accuracy/top5: 84.6020 03/11 13:11:33 - mmengine - INFO - Epoch(train) [251][ 100/1252] lr: 2.0907e-03 eta: 1 day, 17:38:19 time: 0.3634 data_time: 0.2251 loss: 1.9083 03/11 13:12:07 - mmengine - INFO - Epoch(train) [251][ 200/1252] lr: 2.0907e-03 eta: 1 day, 17:37:43 time: 0.3590 data_time: 0.2286 loss: 1.8492 03/11 13:12:41 - mmengine - INFO - Epoch(train) [251][ 300/1252] lr: 2.0907e-03 eta: 1 day, 17:37:09 time: 0.3312 data_time: 0.1009 loss: 1.8980 03/11 13:13:15 - mmengine - INFO - Epoch(train) [251][ 400/1252] lr: 2.0907e-03 eta: 1 day, 17:36:34 time: 0.4046 data_time: 0.2289 loss: 1.9407 03/11 13:13:48 - mmengine - INFO - Epoch(train) [251][ 500/1252] lr: 2.0907e-03 eta: 1 day, 17:35:58 time: 0.3515 data_time: 0.0547 loss: 2.0121 03/11 13:14:22 - mmengine - INFO - Epoch(train) [251][ 600/1252] lr: 2.0907e-03 eta: 1 day, 17:35:23 time: 0.3015 data_time: 0.0032 loss: 1.9673 03/11 13:14:56 - mmengine - INFO - Epoch(train) [251][ 700/1252] lr: 2.0907e-03 eta: 1 day, 17:34:48 time: 0.3649 data_time: 0.1160 loss: 1.8778 03/11 13:15:31 - mmengine - INFO - Epoch(train) [251][ 800/1252] lr: 2.0907e-03 eta: 1 day, 17:34:15 time: 0.2717 data_time: 0.0030 loss: 2.0560 03/11 13:16:05 - mmengine - INFO - Epoch(train) [251][ 900/1252] lr: 2.0907e-03 eta: 1 day, 17:33:40 time: 0.3072 data_time: 0.1675 loss: 2.0254 03/11 13:16:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:16:39 - mmengine - INFO - Epoch(train) [251][1000/1252] lr: 2.0907e-03 eta: 1 day, 17:33:05 time: 0.3280 data_time: 0.0035 loss: 1.9520 03/11 13:17:13 - mmengine - INFO - Epoch(train) [251][1100/1252] lr: 2.0907e-03 eta: 1 day, 17:32:29 time: 0.3317 data_time: 0.0031 loss: 1.9965 03/11 13:17:46 - mmengine - INFO - Epoch(train) [251][1200/1252] lr: 2.0907e-03 eta: 1 day, 17:31:54 time: 0.2997 data_time: 0.0036 loss: 1.8889 03/11 13:18:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:18:03 - mmengine - INFO - Saving checkpoint at 251 epochs 03/11 13:18:28 - mmengine - INFO - Epoch(val) [251][49/49] accuracy/top1: 63.6400 accuracy/top5: 85.0160 03/11 13:19:04 - mmengine - INFO - Epoch(train) [252][ 100/1252] lr: 2.0907e-03 eta: 1 day, 17:31:03 time: 0.2855 data_time: 0.0035 loss: 1.8904 03/11 13:19:40 - mmengine - INFO - Epoch(train) [252][ 200/1252] lr: 2.0907e-03 eta: 1 day, 17:30:32 time: 0.4476 data_time: 0.0397 loss: 1.9568 03/11 13:20:13 - mmengine - INFO - Epoch(train) [252][ 300/1252] lr: 2.0907e-03 eta: 1 day, 17:29:55 time: 0.3261 data_time: 0.0345 loss: 1.9244 03/11 13:20:47 - mmengine - INFO - Epoch(train) [252][ 400/1252] lr: 2.0907e-03 eta: 1 day, 17:29:21 time: 0.3250 data_time: 0.0035 loss: 1.8865 03/11 13:21:22 - mmengine - INFO - Epoch(train) [252][ 500/1252] lr: 2.0907e-03 eta: 1 day, 17:28:47 time: 0.3819 data_time: 0.2347 loss: 1.9493 03/11 13:21:55 - mmengine - INFO - Epoch(train) [252][ 600/1252] lr: 2.0907e-03 eta: 1 day, 17:28:10 time: 0.3397 data_time: 0.0038 loss: 1.9693 03/11 13:22:29 - mmengine - INFO - Epoch(train) [252][ 700/1252] lr: 2.0907e-03 eta: 1 day, 17:27:36 time: 0.3766 data_time: 0.0426 loss: 1.9842 03/11 13:22:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:23:03 - mmengine - INFO - Epoch(train) [252][ 800/1252] lr: 2.0907e-03 eta: 1 day, 17:27:01 time: 0.3170 data_time: 0.0036 loss: 1.9624 03/11 13:23:37 - mmengine - INFO - Epoch(train) [252][ 900/1252] lr: 2.0907e-03 eta: 1 day, 17:26:26 time: 0.3750 data_time: 0.0531 loss: 2.0313 03/11 13:24:12 - mmengine - INFO - Epoch(train) [252][1000/1252] lr: 2.0907e-03 eta: 1 day, 17:25:53 time: 0.3731 data_time: 0.0434 loss: 1.8532 03/11 13:24:46 - mmengine - INFO - Epoch(train) [252][1100/1252] lr: 2.0907e-03 eta: 1 day, 17:25:18 time: 0.3104 data_time: 0.0030 loss: 1.9747 03/11 13:25:19 - mmengine - INFO - Epoch(train) [252][1200/1252] lr: 2.0907e-03 eta: 1 day, 17:24:41 time: 0.3539 data_time: 0.0031 loss: 1.9769 03/11 13:25:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:25:36 - mmengine - INFO - Saving checkpoint at 252 epochs 03/11 13:26:01 - mmengine - INFO - Epoch(val) [252][49/49] accuracy/top1: 62.9180 accuracy/top5: 84.4440 03/11 13:26:38 - mmengine - INFO - Epoch(train) [253][ 100/1252] lr: 2.0342e-03 eta: 1 day, 17:23:53 time: 0.2965 data_time: 0.0033 loss: 1.9561 03/11 13:27:11 - mmengine - INFO - Epoch(train) [253][ 200/1252] lr: 2.0342e-03 eta: 1 day, 17:23:17 time: 0.3343 data_time: 0.1193 loss: 2.0261 03/11 13:27:46 - mmengine - INFO - Epoch(train) [253][ 300/1252] lr: 2.0342e-03 eta: 1 day, 17:22:43 time: 0.3375 data_time: 0.0033 loss: 1.9981 03/11 13:28:20 - mmengine - INFO - Epoch(train) [253][ 400/1252] lr: 2.0342e-03 eta: 1 day, 17:22:08 time: 0.3888 data_time: 0.0811 loss: 1.9672 03/11 13:28:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:28:54 - mmengine - INFO - Epoch(train) [253][ 500/1252] lr: 2.0342e-03 eta: 1 day, 17:21:33 time: 0.3801 data_time: 0.0041 loss: 1.8926 03/11 13:29:27 - mmengine - INFO - Epoch(train) [253][ 600/1252] lr: 2.0342e-03 eta: 1 day, 17:20:57 time: 0.2938 data_time: 0.0163 loss: 1.9907 03/11 13:30:01 - mmengine - INFO - Epoch(train) [253][ 700/1252] lr: 2.0342e-03 eta: 1 day, 17:20:22 time: 0.2973 data_time: 0.0034 loss: 2.0066 03/11 13:30:35 - mmengine - INFO - Epoch(train) [253][ 800/1252] lr: 2.0342e-03 eta: 1 day, 17:19:48 time: 0.3821 data_time: 0.1887 loss: 1.9734 03/11 13:31:10 - mmengine - INFO - Epoch(train) [253][ 900/1252] lr: 2.0342e-03 eta: 1 day, 17:19:14 time: 0.3513 data_time: 0.0028 loss: 2.0909 03/11 13:31:43 - mmengine - INFO - Epoch(train) [253][1000/1252] lr: 2.0342e-03 eta: 1 day, 17:18:37 time: 0.3323 data_time: 0.0033 loss: 1.9654 03/11 13:32:17 - mmengine - INFO - Epoch(train) [253][1100/1252] lr: 2.0342e-03 eta: 1 day, 17:18:03 time: 0.3100 data_time: 0.0108 loss: 1.9330 03/11 13:32:51 - mmengine - INFO - Epoch(train) [253][1200/1252] lr: 2.0342e-03 eta: 1 day, 17:17:27 time: 0.3627 data_time: 0.0513 loss: 2.1612 03/11 13:33:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:33:08 - mmengine - INFO - Saving checkpoint at 253 epochs 03/11 13:33:33 - mmengine - INFO - Epoch(val) [253][49/49] accuracy/top1: 61.9120 accuracy/top5: 83.5500 03/11 13:34:09 - mmengine - INFO - Epoch(train) [254][ 100/1252] lr: 2.0342e-03 eta: 1 day, 17:16:38 time: 0.3532 data_time: 0.0472 loss: 1.9056 03/11 13:34:43 - mmengine - INFO - Epoch(train) [254][ 200/1252] lr: 2.0342e-03 eta: 1 day, 17:16:03 time: 0.3451 data_time: 0.0366 loss: 1.8392 03/11 13:34:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:35:17 - mmengine - INFO - Epoch(train) [254][ 300/1252] lr: 2.0342e-03 eta: 1 day, 17:15:28 time: 0.2950 data_time: 0.0032 loss: 2.0197 03/11 13:35:51 - mmengine - INFO - Epoch(train) [254][ 400/1252] lr: 2.0342e-03 eta: 1 day, 17:14:53 time: 0.3067 data_time: 0.1248 loss: 1.9161 03/11 13:36:25 - mmengine - INFO - Epoch(train) [254][ 500/1252] lr: 2.0342e-03 eta: 1 day, 17:14:18 time: 0.2863 data_time: 0.0032 loss: 1.9563 03/11 13:36:59 - mmengine - INFO - Epoch(train) [254][ 600/1252] lr: 2.0342e-03 eta: 1 day, 17:13:43 time: 0.3129 data_time: 0.0620 loss: 1.8807 03/11 13:37:34 - mmengine - INFO - Epoch(train) [254][ 700/1252] lr: 2.0342e-03 eta: 1 day, 17:13:11 time: 0.3716 data_time: 0.2492 loss: 2.0537 03/11 13:38:07 - mmengine - INFO - Epoch(train) [254][ 800/1252] lr: 2.0342e-03 eta: 1 day, 17:12:34 time: 0.3391 data_time: 0.0031 loss: 1.9277 03/11 13:38:41 - mmengine - INFO - Epoch(train) [254][ 900/1252] lr: 2.0342e-03 eta: 1 day, 17:11:58 time: 0.3265 data_time: 0.1916 loss: 1.8802 03/11 13:39:16 - mmengine - INFO - Epoch(train) [254][1000/1252] lr: 2.0342e-03 eta: 1 day, 17:11:25 time: 0.3533 data_time: 0.0032 loss: 1.8758 03/11 13:39:50 - mmengine - INFO - Epoch(train) [254][1100/1252] lr: 2.0342e-03 eta: 1 day, 17:10:50 time: 0.3519 data_time: 0.1115 loss: 2.0192 03/11 13:40:24 - mmengine - INFO - Epoch(train) [254][1200/1252] lr: 2.0342e-03 eta: 1 day, 17:10:16 time: 0.3432 data_time: 0.0048 loss: 1.8645 03/11 13:40:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:40:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:40:41 - mmengine - INFO - Saving checkpoint at 254 epochs 03/11 13:41:05 - mmengine - INFO - Epoch(val) [254][49/49] accuracy/top1: 61.9620 accuracy/top5: 83.5700 03/11 13:41:42 - mmengine - INFO - Epoch(train) [255][ 100/1252] lr: 1.9793e-03 eta: 1 day, 17:09:26 time: 0.3672 data_time: 0.0045 loss: 1.8493 03/11 13:42:16 - mmengine - INFO - Epoch(train) [255][ 200/1252] lr: 1.9793e-03 eta: 1 day, 17:08:51 time: 0.3192 data_time: 0.0037 loss: 1.8788 03/11 13:42:50 - mmengine - INFO - Epoch(train) [255][ 300/1252] lr: 1.9793e-03 eta: 1 day, 17:08:16 time: 0.3668 data_time: 0.0767 loss: 2.0043 03/11 13:43:24 - mmengine - INFO - Epoch(train) [255][ 400/1252] lr: 1.9793e-03 eta: 1 day, 17:07:42 time: 0.3391 data_time: 0.1466 loss: 1.9547 03/11 13:43:57 - mmengine - INFO - Epoch(train) [255][ 500/1252] lr: 1.9793e-03 eta: 1 day, 17:07:06 time: 0.3082 data_time: 0.0871 loss: 1.8136 03/11 13:44:31 - mmengine - INFO - Epoch(train) [255][ 600/1252] lr: 1.9793e-03 eta: 1 day, 17:06:31 time: 0.3330 data_time: 0.1383 loss: 1.9691 03/11 13:45:06 - mmengine - INFO - Epoch(train) [255][ 700/1252] lr: 1.9793e-03 eta: 1 day, 17:05:58 time: 0.3667 data_time: 0.1911 loss: 1.8318 03/11 13:45:40 - mmengine - INFO - Epoch(train) [255][ 800/1252] lr: 1.9793e-03 eta: 1 day, 17:05:23 time: 0.3400 data_time: 0.0035 loss: 1.9923 03/11 13:46:14 - mmengine - INFO - Epoch(train) [255][ 900/1252] lr: 1.9793e-03 eta: 1 day, 17:04:48 time: 0.3281 data_time: 0.1062 loss: 1.9976 03/11 13:46:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:46:48 - mmengine - INFO - Epoch(train) [255][1000/1252] lr: 1.9793e-03 eta: 1 day, 17:04:13 time: 0.3517 data_time: 0.0731 loss: 2.0299 03/11 13:47:22 - mmengine - INFO - Epoch(train) [255][1100/1252] lr: 1.9793e-03 eta: 1 day, 17:03:37 time: 0.3601 data_time: 0.0037 loss: 1.8845 03/11 13:47:55 - mmengine - INFO - Epoch(train) [255][1200/1252] lr: 1.9793e-03 eta: 1 day, 17:03:02 time: 0.3548 data_time: 0.1810 loss: 1.9543 03/11 13:48:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:48:12 - mmengine - INFO - Saving checkpoint at 255 epochs 03/11 13:48:37 - mmengine - INFO - Epoch(val) [255][49/49] accuracy/top1: 62.9780 accuracy/top5: 84.5020 03/11 13:49:13 - mmengine - INFO - Epoch(train) [256][ 100/1252] lr: 1.9793e-03 eta: 1 day, 17:02:11 time: 0.3060 data_time: 0.0034 loss: 1.9249 03/11 13:49:48 - mmengine - INFO - Epoch(train) [256][ 200/1252] lr: 1.9793e-03 eta: 1 day, 17:01:37 time: 0.3467 data_time: 0.1459 loss: 1.8694 03/11 13:50:23 - mmengine - INFO - Epoch(train) [256][ 300/1252] lr: 1.9793e-03 eta: 1 day, 17:01:04 time: 0.3807 data_time: 0.0032 loss: 1.9195 03/11 13:50:56 - mmengine - INFO - Epoch(train) [256][ 400/1252] lr: 1.9793e-03 eta: 1 day, 17:00:29 time: 0.3171 data_time: 0.0745 loss: 2.0242 03/11 13:51:30 - mmengine - INFO - Epoch(train) [256][ 500/1252] lr: 1.9793e-03 eta: 1 day, 16:59:54 time: 0.3406 data_time: 0.0032 loss: 1.8981 03/11 13:52:04 - mmengine - INFO - Epoch(train) [256][ 600/1252] lr: 1.9793e-03 eta: 1 day, 16:59:18 time: 0.2773 data_time: 0.1555 loss: 1.8896 03/11 13:52:38 - mmengine - INFO - Epoch(train) [256][ 700/1252] lr: 1.9793e-03 eta: 1 day, 16:58:43 time: 0.3094 data_time: 0.0058 loss: 1.8922 03/11 13:52:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:53:12 - mmengine - INFO - Epoch(train) [256][ 800/1252] lr: 1.9793e-03 eta: 1 day, 16:58:09 time: 0.3721 data_time: 0.0910 loss: 1.9476 03/11 13:53:46 - mmengine - INFO - Epoch(train) [256][ 900/1252] lr: 1.9793e-03 eta: 1 day, 16:57:34 time: 0.3515 data_time: 0.2085 loss: 1.8951 03/11 13:54:20 - mmengine - INFO - Epoch(train) [256][1000/1252] lr: 1.9793e-03 eta: 1 day, 16:56:59 time: 0.3237 data_time: 0.0034 loss: 1.9508 03/11 13:54:54 - mmengine - INFO - Epoch(train) [256][1100/1252] lr: 1.9793e-03 eta: 1 day, 16:56:24 time: 0.3470 data_time: 0.0030 loss: 1.9289 03/11 13:55:27 - mmengine - INFO - Epoch(train) [256][1200/1252] lr: 1.9793e-03 eta: 1 day, 16:55:48 time: 0.3273 data_time: 0.0046 loss: 1.9641 03/11 13:55:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:55:45 - mmengine - INFO - Saving checkpoint at 256 epochs 03/11 13:56:09 - mmengine - INFO - Epoch(val) [256][49/49] accuracy/top1: 61.4640 accuracy/top5: 83.2120 03/11 13:56:46 - mmengine - INFO - Epoch(train) [257][ 100/1252] lr: 1.9259e-03 eta: 1 day, 16:54:59 time: 0.3037 data_time: 0.0360 loss: 2.0130 03/11 13:57:21 - mmengine - INFO - Epoch(train) [257][ 200/1252] lr: 1.9259e-03 eta: 1 day, 16:54:26 time: 0.3308 data_time: 0.0038 loss: 1.9762 03/11 13:57:55 - mmengine - INFO - Epoch(train) [257][ 300/1252] lr: 1.9259e-03 eta: 1 day, 16:53:52 time: 0.3961 data_time: 0.0034 loss: 1.8668 03/11 13:58:28 - mmengine - INFO - Epoch(train) [257][ 400/1252] lr: 1.9259e-03 eta: 1 day, 16:53:16 time: 0.3064 data_time: 0.1677 loss: 1.9166 03/11 13:58:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 13:59:02 - mmengine - INFO - Epoch(train) [257][ 500/1252] lr: 1.9259e-03 eta: 1 day, 16:52:41 time: 0.3295 data_time: 0.0251 loss: 1.8557 03/11 13:59:37 - mmengine - INFO - Epoch(train) [257][ 600/1252] lr: 1.9259e-03 eta: 1 day, 16:52:07 time: 0.3087 data_time: 0.1637 loss: 1.9257 03/11 14:00:10 - mmengine - INFO - Epoch(train) [257][ 700/1252] lr: 1.9259e-03 eta: 1 day, 16:51:32 time: 0.3728 data_time: 0.0104 loss: 2.0193 03/11 14:00:45 - mmengine - INFO - Epoch(train) [257][ 800/1252] lr: 1.9259e-03 eta: 1 day, 16:50:58 time: 0.3737 data_time: 0.0030 loss: 1.9755 03/11 14:01:19 - mmengine - INFO - Epoch(train) [257][ 900/1252] lr: 1.9259e-03 eta: 1 day, 16:50:23 time: 0.3432 data_time: 0.1299 loss: 2.0606 03/11 14:01:53 - mmengine - INFO - Epoch(train) [257][1000/1252] lr: 1.9259e-03 eta: 1 day, 16:49:47 time: 0.3452 data_time: 0.1717 loss: 2.0380 03/11 14:02:26 - mmengine - INFO - Epoch(train) [257][1100/1252] lr: 1.9259e-03 eta: 1 day, 16:49:12 time: 0.2881 data_time: 0.0037 loss: 1.9258 03/11 14:03:01 - mmengine - INFO - Epoch(train) [257][1200/1252] lr: 1.9259e-03 eta: 1 day, 16:48:38 time: 0.3411 data_time: 0.1909 loss: 1.9137 03/11 14:03:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:03:18 - mmengine - INFO - Saving checkpoint at 257 epochs 03/11 14:03:43 - mmengine - INFO - Epoch(val) [257][49/49] accuracy/top1: 64.2500 accuracy/top5: 85.3120 03/11 14:04:19 - mmengine - INFO - Epoch(train) [258][ 100/1252] lr: 1.9259e-03 eta: 1 day, 16:47:48 time: 0.3923 data_time: 0.0683 loss: 2.0239 03/11 14:04:53 - mmengine - INFO - Epoch(train) [258][ 200/1252] lr: 1.9259e-03 eta: 1 day, 16:47:13 time: 0.3026 data_time: 0.0306 loss: 1.9212 03/11 14:05:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:05:27 - mmengine - INFO - Epoch(train) [258][ 300/1252] lr: 1.9259e-03 eta: 1 day, 16:46:38 time: 0.3592 data_time: 0.0213 loss: 1.9967 03/11 14:06:01 - mmengine - INFO - Epoch(train) [258][ 400/1252] lr: 1.9259e-03 eta: 1 day, 16:46:04 time: 0.3285 data_time: 0.0031 loss: 2.0137 03/11 14:06:35 - mmengine - INFO - Epoch(train) [258][ 500/1252] lr: 1.9259e-03 eta: 1 day, 16:45:28 time: 0.3463 data_time: 0.0038 loss: 1.9275 03/11 14:07:09 - mmengine - INFO - Epoch(train) [258][ 600/1252] lr: 1.9259e-03 eta: 1 day, 16:44:54 time: 0.3478 data_time: 0.0031 loss: 1.9567 03/11 14:07:43 - mmengine - INFO - Epoch(train) [258][ 700/1252] lr: 1.9259e-03 eta: 1 day, 16:44:18 time: 0.3261 data_time: 0.0379 loss: 2.0563 03/11 14:08:17 - mmengine - INFO - Epoch(train) [258][ 800/1252] lr: 1.9259e-03 eta: 1 day, 16:43:44 time: 0.3420 data_time: 0.0039 loss: 1.8531 03/11 14:08:51 - mmengine - INFO - Epoch(train) [258][ 900/1252] lr: 1.9259e-03 eta: 1 day, 16:43:08 time: 0.3469 data_time: 0.0032 loss: 1.9478 03/11 14:09:25 - mmengine - INFO - Epoch(train) [258][1000/1252] lr: 1.9259e-03 eta: 1 day, 16:42:33 time: 0.2997 data_time: 0.0426 loss: 2.0605 03/11 14:09:58 - mmengine - INFO - Epoch(train) [258][1100/1252] lr: 1.9259e-03 eta: 1 day, 16:41:58 time: 0.2904 data_time: 0.0038 loss: 2.0891 03/11 14:10:32 - mmengine - INFO - Epoch(train) [258][1200/1252] lr: 1.9259e-03 eta: 1 day, 16:41:23 time: 0.3387 data_time: 0.0032 loss: 1.8995 03/11 14:10:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:10:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:10:50 - mmengine - INFO - Saving checkpoint at 258 epochs 03/11 14:11:14 - mmengine - INFO - Epoch(val) [258][49/49] accuracy/top1: 63.0960 accuracy/top5: 84.3860 03/11 14:11:50 - mmengine - INFO - Epoch(train) [259][ 100/1252] lr: 1.8739e-03 eta: 1 day, 16:40:33 time: 0.3073 data_time: 0.0041 loss: 1.9899 03/11 14:12:25 - mmengine - INFO - Epoch(train) [259][ 200/1252] lr: 1.8739e-03 eta: 1 day, 16:39:59 time: 0.3533 data_time: 0.0034 loss: 1.9675 03/11 14:12:58 - mmengine - INFO - Epoch(train) [259][ 300/1252] lr: 1.8739e-03 eta: 1 day, 16:39:24 time: 0.2842 data_time: 0.0292 loss: 1.9579 03/11 14:13:32 - mmengine - INFO - Epoch(train) [259][ 400/1252] lr: 1.8739e-03 eta: 1 day, 16:38:49 time: 0.3109 data_time: 0.1320 loss: 1.9749 03/11 14:14:07 - mmengine - INFO - Epoch(train) [259][ 500/1252] lr: 1.8739e-03 eta: 1 day, 16:38:15 time: 0.3040 data_time: 0.0273 loss: 1.8902 03/11 14:14:41 - mmengine - INFO - Epoch(train) [259][ 600/1252] lr: 1.8739e-03 eta: 1 day, 16:37:40 time: 0.4178 data_time: 0.0582 loss: 2.0971 03/11 14:15:15 - mmengine - INFO - Epoch(train) [259][ 700/1252] lr: 1.8739e-03 eta: 1 day, 16:37:06 time: 0.4118 data_time: 0.0038 loss: 2.0265 03/11 14:15:48 - mmengine - INFO - Epoch(train) [259][ 800/1252] lr: 1.8739e-03 eta: 1 day, 16:36:29 time: 0.3273 data_time: 0.1710 loss: 1.9913 03/11 14:16:23 - mmengine - INFO - Epoch(train) [259][ 900/1252] lr: 1.8739e-03 eta: 1 day, 16:35:56 time: 0.3019 data_time: 0.0032 loss: 1.8698 03/11 14:16:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:16:57 - mmengine - INFO - Epoch(train) [259][1000/1252] lr: 1.8739e-03 eta: 1 day, 16:35:22 time: 0.3687 data_time: 0.0032 loss: 1.9015 03/11 14:17:31 - mmengine - INFO - Epoch(train) [259][1100/1252] lr: 1.8739e-03 eta: 1 day, 16:34:46 time: 0.3400 data_time: 0.0035 loss: 1.9348 03/11 14:18:05 - mmengine - INFO - Epoch(train) [259][1200/1252] lr: 1.8739e-03 eta: 1 day, 16:34:11 time: 0.3428 data_time: 0.0032 loss: 1.9043 03/11 14:18:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:18:22 - mmengine - INFO - Saving checkpoint at 259 epochs 03/11 14:18:46 - mmengine - INFO - Epoch(val) [259][49/49] accuracy/top1: 62.9240 accuracy/top5: 84.3800 03/11 14:19:23 - mmengine - INFO - Epoch(train) [260][ 100/1252] lr: 1.8739e-03 eta: 1 day, 16:33:22 time: 0.2975 data_time: 0.0037 loss: 1.9895 03/11 14:19:57 - mmengine - INFO - Epoch(train) [260][ 200/1252] lr: 1.8739e-03 eta: 1 day, 16:32:47 time: 0.3224 data_time: 0.1440 loss: 1.8751 03/11 14:20:31 - mmengine - INFO - Epoch(train) [260][ 300/1252] lr: 1.8739e-03 eta: 1 day, 16:32:12 time: 0.3499 data_time: 0.2307 loss: 1.9320 03/11 14:21:04 - mmengine - INFO - Epoch(train) [260][ 400/1252] lr: 1.8739e-03 eta: 1 day, 16:31:36 time: 0.3602 data_time: 0.0745 loss: 1.9576 03/11 14:21:39 - mmengine - INFO - Epoch(train) [260][ 500/1252] lr: 1.8739e-03 eta: 1 day, 16:31:02 time: 0.3662 data_time: 0.0036 loss: 1.9237 03/11 14:22:12 - mmengine - INFO - Epoch(train) [260][ 600/1252] lr: 1.8739e-03 eta: 1 day, 16:30:27 time: 0.3632 data_time: 0.1752 loss: 1.9237 03/11 14:22:46 - mmengine - INFO - Epoch(train) [260][ 700/1252] lr: 1.8739e-03 eta: 1 day, 16:29:52 time: 0.3315 data_time: 0.1465 loss: 2.0030 03/11 14:22:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:23:21 - mmengine - INFO - Epoch(train) [260][ 800/1252] lr: 1.8739e-03 eta: 1 day, 16:29:18 time: 0.3479 data_time: 0.1024 loss: 1.9966 03/11 14:23:55 - mmengine - INFO - Epoch(train) [260][ 900/1252] lr: 1.8739e-03 eta: 1 day, 16:28:43 time: 0.3543 data_time: 0.0032 loss: 1.8964 03/11 14:24:28 - mmengine - INFO - Epoch(train) [260][1000/1252] lr: 1.8739e-03 eta: 1 day, 16:28:07 time: 0.3013 data_time: 0.0266 loss: 2.0280 03/11 14:25:03 - mmengine - INFO - Epoch(train) [260][1100/1252] lr: 1.8739e-03 eta: 1 day, 16:27:34 time: 0.3882 data_time: 0.0033 loss: 1.8661 03/11 14:25:36 - mmengine - INFO - Epoch(train) [260][1200/1252] lr: 1.8739e-03 eta: 1 day, 16:26:57 time: 0.3228 data_time: 0.0034 loss: 1.9950 03/11 14:25:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:25:54 - mmengine - INFO - Saving checkpoint at 260 epochs 03/11 14:26:18 - mmengine - INFO - Epoch(val) [260][49/49] accuracy/top1: 62.9940 accuracy/top5: 84.3120 03/11 14:26:54 - mmengine - INFO - Epoch(train) [261][ 100/1252] lr: 1.8233e-03 eta: 1 day, 16:26:08 time: 0.3242 data_time: 0.0132 loss: 2.0459 03/11 14:27:28 - mmengine - INFO - Epoch(train) [261][ 200/1252] lr: 1.8233e-03 eta: 1 day, 16:25:34 time: 0.3684 data_time: 0.0488 loss: 1.9048 03/11 14:28:02 - mmengine - INFO - Epoch(train) [261][ 300/1252] lr: 1.8233e-03 eta: 1 day, 16:24:59 time: 0.3696 data_time: 0.0178 loss: 1.9849 03/11 14:28:36 - mmengine - INFO - Epoch(train) [261][ 400/1252] lr: 1.8233e-03 eta: 1 day, 16:24:24 time: 0.3345 data_time: 0.0032 loss: 1.8918 03/11 14:29:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:29:11 - mmengine - INFO - Epoch(train) [261][ 500/1252] lr: 1.8233e-03 eta: 1 day, 16:23:50 time: 0.3042 data_time: 0.1311 loss: 1.8844 03/11 14:29:44 - mmengine - INFO - Epoch(train) [261][ 600/1252] lr: 1.8233e-03 eta: 1 day, 16:23:14 time: 0.3281 data_time: 0.0035 loss: 2.0183 03/11 14:30:19 - mmengine - INFO - Epoch(train) [261][ 700/1252] lr: 1.8233e-03 eta: 1 day, 16:22:40 time: 0.3555 data_time: 0.0035 loss: 1.8758 03/11 14:30:53 - mmengine - INFO - Epoch(train) [261][ 800/1252] lr: 1.8233e-03 eta: 1 day, 16:22:06 time: 0.4014 data_time: 0.0351 loss: 1.9606 03/11 14:31:26 - mmengine - INFO - Epoch(train) [261][ 900/1252] lr: 1.8233e-03 eta: 1 day, 16:21:30 time: 0.3137 data_time: 0.0029 loss: 1.9941 03/11 14:32:01 - mmengine - INFO - Epoch(train) [261][1000/1252] lr: 1.8233e-03 eta: 1 day, 16:20:56 time: 0.3805 data_time: 0.0248 loss: 1.9779 03/11 14:32:35 - mmengine - INFO - Epoch(train) [261][1100/1252] lr: 1.8233e-03 eta: 1 day, 16:20:21 time: 0.2922 data_time: 0.0033 loss: 2.0120 03/11 14:33:09 - mmengine - INFO - Epoch(train) [261][1200/1252] lr: 1.8233e-03 eta: 1 day, 16:19:47 time: 0.4277 data_time: 0.0032 loss: 1.8772 03/11 14:33:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:33:26 - mmengine - INFO - Saving checkpoint at 261 epochs 03/11 14:33:51 - mmengine - INFO - Epoch(val) [261][49/49] accuracy/top1: 62.4340 accuracy/top5: 84.3200 03/11 14:34:27 - mmengine - INFO - Epoch(train) [262][ 100/1252] lr: 1.8233e-03 eta: 1 day, 16:18:57 time: 0.3032 data_time: 0.1767 loss: 1.9143 03/11 14:35:02 - mmengine - INFO - Epoch(train) [262][ 200/1252] lr: 1.8233e-03 eta: 1 day, 16:18:24 time: 0.3136 data_time: 0.1712 loss: 1.9576 03/11 14:35:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:35:35 - mmengine - INFO - Epoch(train) [262][ 300/1252] lr: 1.8233e-03 eta: 1 day, 16:17:48 time: 0.3646 data_time: 0.0057 loss: 1.9640 03/11 14:36:10 - mmengine - INFO - Epoch(train) [262][ 400/1252] lr: 1.8233e-03 eta: 1 day, 16:17:14 time: 0.3578 data_time: 0.0238 loss: 1.7867 03/11 14:36:43 - mmengine - INFO - Epoch(train) [262][ 500/1252] lr: 1.8233e-03 eta: 1 day, 16:16:38 time: 0.3381 data_time: 0.0034 loss: 2.0041 03/11 14:37:18 - mmengine - INFO - Epoch(train) [262][ 600/1252] lr: 1.8233e-03 eta: 1 day, 16:16:04 time: 0.3086 data_time: 0.0036 loss: 2.0651 03/11 14:37:51 - mmengine - INFO - Epoch(train) [262][ 700/1252] lr: 1.8233e-03 eta: 1 day, 16:15:28 time: 0.3722 data_time: 0.0030 loss: 1.9753 03/11 14:38:26 - mmengine - INFO - Epoch(train) [262][ 800/1252] lr: 1.8233e-03 eta: 1 day, 16:14:54 time: 0.3505 data_time: 0.0407 loss: 1.8900 03/11 14:39:00 - mmengine - INFO - Epoch(train) [262][ 900/1252] lr: 1.8233e-03 eta: 1 day, 16:14:20 time: 0.3971 data_time: 0.0040 loss: 1.8849 03/11 14:39:34 - mmengine - INFO - Epoch(train) [262][1000/1252] lr: 1.8233e-03 eta: 1 day, 16:13:45 time: 0.2990 data_time: 0.0035 loss: 1.9160 03/11 14:40:07 - mmengine - INFO - Epoch(train) [262][1100/1252] lr: 1.8233e-03 eta: 1 day, 16:13:09 time: 0.3368 data_time: 0.0141 loss: 1.8925 03/11 14:40:41 - mmengine - INFO - Epoch(train) [262][1200/1252] lr: 1.8233e-03 eta: 1 day, 16:12:33 time: 0.2813 data_time: 0.0039 loss: 1.9116 03/11 14:40:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:40:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:40:58 - mmengine - INFO - Saving checkpoint at 262 epochs 03/11 14:41:23 - mmengine - INFO - Epoch(val) [262][49/49] accuracy/top1: 62.1800 accuracy/top5: 83.8020 03/11 14:42:00 - mmengine - INFO - Epoch(train) [263][ 100/1252] lr: 1.7740e-03 eta: 1 day, 16:11:45 time: 0.3049 data_time: 0.1132 loss: 1.9551 03/11 14:42:34 - mmengine - INFO - Epoch(train) [263][ 200/1252] lr: 1.7740e-03 eta: 1 day, 16:11:11 time: 0.3636 data_time: 0.2258 loss: 1.8626 03/11 14:43:08 - mmengine - INFO - Epoch(train) [263][ 300/1252] lr: 1.7740e-03 eta: 1 day, 16:10:36 time: 0.2976 data_time: 0.0047 loss: 1.8620 03/11 14:43:43 - mmengine - INFO - Epoch(train) [263][ 400/1252] lr: 1.7740e-03 eta: 1 day, 16:10:02 time: 0.3774 data_time: 0.0036 loss: 1.9768 03/11 14:44:16 - mmengine - INFO - Epoch(train) [263][ 500/1252] lr: 1.7740e-03 eta: 1 day, 16:09:26 time: 0.2996 data_time: 0.0034 loss: 1.9479 03/11 14:44:50 - mmengine - INFO - Epoch(train) [263][ 600/1252] lr: 1.7740e-03 eta: 1 day, 16:08:52 time: 0.2914 data_time: 0.0039 loss: 1.9114 03/11 14:45:26 - mmengine - INFO - Epoch(train) [263][ 700/1252] lr: 1.7740e-03 eta: 1 day, 16:08:20 time: 0.4373 data_time: 0.0029 loss: 1.8211 03/11 14:45:59 - mmengine - INFO - Epoch(train) [263][ 800/1252] lr: 1.7740e-03 eta: 1 day, 16:07:44 time: 0.3376 data_time: 0.0037 loss: 1.9131 03/11 14:46:33 - mmengine - INFO - Epoch(train) [263][ 900/1252] lr: 1.7740e-03 eta: 1 day, 16:07:09 time: 0.3457 data_time: 0.0461 loss: 1.9282 03/11 14:46:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:47:08 - mmengine - INFO - Epoch(train) [263][1000/1252] lr: 1.7740e-03 eta: 1 day, 16:06:35 time: 0.3789 data_time: 0.0676 loss: 1.8189 03/11 14:47:42 - mmengine - INFO - Epoch(train) [263][1100/1252] lr: 1.7740e-03 eta: 1 day, 16:06:00 time: 0.4163 data_time: 0.0034 loss: 2.0056 03/11 14:48:15 - mmengine - INFO - Epoch(train) [263][1200/1252] lr: 1.7740e-03 eta: 1 day, 16:05:24 time: 0.3422 data_time: 0.0036 loss: 1.9658 03/11 14:48:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:48:32 - mmengine - INFO - Saving checkpoint at 263 epochs 03/11 14:48:56 - mmengine - INFO - Epoch(val) [263][49/49] accuracy/top1: 62.8440 accuracy/top5: 84.5240 03/11 14:49:33 - mmengine - INFO - Epoch(train) [264][ 100/1252] lr: 1.7740e-03 eta: 1 day, 16:04:34 time: 0.3375 data_time: 0.0472 loss: 1.9733 03/11 14:50:07 - mmengine - INFO - Epoch(train) [264][ 200/1252] lr: 1.7740e-03 eta: 1 day, 16:03:59 time: 0.3151 data_time: 0.0036 loss: 1.8054 03/11 14:50:41 - mmengine - INFO - Epoch(train) [264][ 300/1252] lr: 1.7740e-03 eta: 1 day, 16:03:26 time: 0.3192 data_time: 0.0032 loss: 1.9239 03/11 14:51:15 - mmengine - INFO - Epoch(train) [264][ 400/1252] lr: 1.7740e-03 eta: 1 day, 16:02:50 time: 0.2929 data_time: 0.0041 loss: 1.8969 03/11 14:51:49 - mmengine - INFO - Epoch(train) [264][ 500/1252] lr: 1.7740e-03 eta: 1 day, 16:02:15 time: 0.3610 data_time: 0.0291 loss: 1.9000 03/11 14:52:22 - mmengine - INFO - Epoch(train) [264][ 600/1252] lr: 1.7740e-03 eta: 1 day, 16:01:39 time: 0.2740 data_time: 0.0036 loss: 2.0009 03/11 14:52:57 - mmengine - INFO - Epoch(train) [264][ 700/1252] lr: 1.7740e-03 eta: 1 day, 16:01:05 time: 0.3201 data_time: 0.0034 loss: 1.8827 03/11 14:53:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:53:30 - mmengine - INFO - Epoch(train) [264][ 800/1252] lr: 1.7740e-03 eta: 1 day, 16:00:30 time: 0.2904 data_time: 0.0032 loss: 1.9282 03/11 14:54:04 - mmengine - INFO - Epoch(train) [264][ 900/1252] lr: 1.7740e-03 eta: 1 day, 15:59:55 time: 0.3324 data_time: 0.0033 loss: 1.9209 03/11 14:54:38 - mmengine - INFO - Epoch(train) [264][1000/1252] lr: 1.7740e-03 eta: 1 day, 15:59:20 time: 0.3308 data_time: 0.0031 loss: 1.9127 03/11 14:55:12 - mmengine - INFO - Epoch(train) [264][1100/1252] lr: 1.7740e-03 eta: 1 day, 15:58:46 time: 0.3467 data_time: 0.2309 loss: 2.0075 03/11 14:55:47 - mmengine - INFO - Epoch(train) [264][1200/1252] lr: 1.7740e-03 eta: 1 day, 15:58:12 time: 0.3409 data_time: 0.0037 loss: 1.9201 03/11 14:56:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:56:03 - mmengine - INFO - Saving checkpoint at 264 epochs 03/11 14:56:27 - mmengine - INFO - Epoch(val) [264][49/49] accuracy/top1: 63.7100 accuracy/top5: 84.9800 03/11 14:57:04 - mmengine - INFO - Epoch(train) [265][ 100/1252] lr: 1.7261e-03 eta: 1 day, 15:57:21 time: 0.3563 data_time: 0.0029 loss: 1.9466 03/11 14:57:38 - mmengine - INFO - Epoch(train) [265][ 200/1252] lr: 1.7261e-03 eta: 1 day, 15:56:46 time: 0.3628 data_time: 0.0031 loss: 1.9653 03/11 14:58:12 - mmengine - INFO - Epoch(train) [265][ 300/1252] lr: 1.7261e-03 eta: 1 day, 15:56:12 time: 0.3701 data_time: 0.2235 loss: 1.9178 03/11 14:58:46 - mmengine - INFO - Epoch(train) [265][ 400/1252] lr: 1.7261e-03 eta: 1 day, 15:55:37 time: 0.4070 data_time: 0.1368 loss: 1.9566 03/11 14:59:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 14:59:20 - mmengine - INFO - Epoch(train) [265][ 500/1252] lr: 1.7261e-03 eta: 1 day, 15:55:03 time: 0.3594 data_time: 0.1481 loss: 1.8787 03/11 14:59:55 - mmengine - INFO - Epoch(train) [265][ 600/1252] lr: 1.7261e-03 eta: 1 day, 15:54:28 time: 0.3676 data_time: 0.0039 loss: 1.8559 03/11 15:00:28 - mmengine - INFO - Epoch(train) [265][ 700/1252] lr: 1.7261e-03 eta: 1 day, 15:53:52 time: 0.3019 data_time: 0.0720 loss: 1.9004 03/11 15:01:02 - mmengine - INFO - Epoch(train) [265][ 800/1252] lr: 1.7261e-03 eta: 1 day, 15:53:18 time: 0.3512 data_time: 0.0426 loss: 1.8410 03/11 15:01:36 - mmengine - INFO - Epoch(train) [265][ 900/1252] lr: 1.7261e-03 eta: 1 day, 15:52:44 time: 0.3498 data_time: 0.0037 loss: 1.9928 03/11 15:02:11 - mmengine - INFO - Epoch(train) [265][1000/1252] lr: 1.7261e-03 eta: 1 day, 15:52:09 time: 0.3048 data_time: 0.0982 loss: 1.9356 03/11 15:02:45 - mmengine - INFO - Epoch(train) [265][1100/1252] lr: 1.7261e-03 eta: 1 day, 15:51:35 time: 0.3683 data_time: 0.0739 loss: 1.9436 03/11 15:03:18 - mmengine - INFO - Epoch(train) [265][1200/1252] lr: 1.7261e-03 eta: 1 day, 15:50:59 time: 0.3075 data_time: 0.0032 loss: 1.8234 03/11 15:03:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:03:35 - mmengine - INFO - Saving checkpoint at 265 epochs 03/11 15:04:00 - mmengine - INFO - Epoch(val) [265][49/49] accuracy/top1: 62.3580 accuracy/top5: 84.1100 03/11 15:04:36 - mmengine - INFO - Epoch(train) [266][ 100/1252] lr: 1.7261e-03 eta: 1 day, 15:50:09 time: 0.3171 data_time: 0.1791 loss: 1.9479 03/11 15:05:11 - mmengine - INFO - Epoch(train) [266][ 200/1252] lr: 1.7261e-03 eta: 1 day, 15:49:36 time: 0.2875 data_time: 0.1297 loss: 1.9234 03/11 15:05:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:05:44 - mmengine - INFO - Epoch(train) [266][ 300/1252] lr: 1.7261e-03 eta: 1 day, 15:49:00 time: 0.2850 data_time: 0.0563 loss: 1.8469 03/11 15:06:19 - mmengine - INFO - Epoch(train) [266][ 400/1252] lr: 1.7261e-03 eta: 1 day, 15:48:26 time: 0.3315 data_time: 0.0474 loss: 1.7913 03/11 15:06:53 - mmengine - INFO - Epoch(train) [266][ 500/1252] lr: 1.7261e-03 eta: 1 day, 15:47:52 time: 0.2936 data_time: 0.0318 loss: 1.9115 03/11 15:07:27 - mmengine - INFO - Epoch(train) [266][ 600/1252] lr: 1.7261e-03 eta: 1 day, 15:47:18 time: 0.3569 data_time: 0.0033 loss: 1.9552 03/11 15:08:03 - mmengine - INFO - Epoch(train) [266][ 700/1252] lr: 1.7261e-03 eta: 1 day, 15:46:45 time: 0.3458 data_time: 0.0030 loss: 2.0428 03/11 15:08:36 - mmengine - INFO - Epoch(train) [266][ 800/1252] lr: 1.7261e-03 eta: 1 day, 15:46:09 time: 0.3148 data_time: 0.0034 loss: 1.9027 03/11 15:09:10 - mmengine - INFO - Epoch(train) [266][ 900/1252] lr: 1.7261e-03 eta: 1 day, 15:45:34 time: 0.3227 data_time: 0.1390 loss: 1.8626 03/11 15:09:44 - mmengine - INFO - Epoch(train) [266][1000/1252] lr: 1.7261e-03 eta: 1 day, 15:44:59 time: 0.3481 data_time: 0.2271 loss: 1.8856 03/11 15:10:18 - mmengine - INFO - Epoch(train) [266][1100/1252] lr: 1.7261e-03 eta: 1 day, 15:44:24 time: 0.3129 data_time: 0.0029 loss: 2.0443 03/11 15:10:51 - mmengine - INFO - Epoch(train) [266][1200/1252] lr: 1.7261e-03 eta: 1 day, 15:43:49 time: 0.3081 data_time: 0.0038 loss: 1.9192 03/11 15:10:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:11:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:11:08 - mmengine - INFO - Saving checkpoint at 266 epochs 03/11 15:11:32 - mmengine - INFO - Epoch(val) [266][49/49] accuracy/top1: 63.1720 accuracy/top5: 84.5280 03/11 15:12:09 - mmengine - INFO - Epoch(train) [267][ 100/1252] lr: 1.6795e-03 eta: 1 day, 15:42:58 time: 0.3618 data_time: 0.0211 loss: 1.9482 03/11 15:12:42 - mmengine - INFO - Epoch(train) [267][ 200/1252] lr: 1.6795e-03 eta: 1 day, 15:42:23 time: 0.3183 data_time: 0.0034 loss: 1.9366 03/11 15:13:17 - mmengine - INFO - Epoch(train) [267][ 300/1252] lr: 1.6795e-03 eta: 1 day, 15:41:49 time: 0.3413 data_time: 0.0033 loss: 1.9383 03/11 15:13:51 - mmengine - INFO - Epoch(train) [267][ 400/1252] lr: 1.6795e-03 eta: 1 day, 15:41:14 time: 0.2943 data_time: 0.0267 loss: 1.8623 03/11 15:14:26 - mmengine - INFO - Epoch(train) [267][ 500/1252] lr: 1.6795e-03 eta: 1 day, 15:40:41 time: 0.3256 data_time: 0.0036 loss: 1.8493 03/11 15:14:59 - mmengine - INFO - Epoch(train) [267][ 600/1252] lr: 1.6795e-03 eta: 1 day, 15:40:05 time: 0.3241 data_time: 0.0401 loss: 2.0084 03/11 15:15:33 - mmengine - INFO - Epoch(train) [267][ 700/1252] lr: 1.6795e-03 eta: 1 day, 15:39:30 time: 0.2966 data_time: 0.0034 loss: 1.9327 03/11 15:16:07 - mmengine - INFO - Epoch(train) [267][ 800/1252] lr: 1.6795e-03 eta: 1 day, 15:38:55 time: 0.3261 data_time: 0.1216 loss: 1.9781 03/11 15:16:41 - mmengine - INFO - Epoch(train) [267][ 900/1252] lr: 1.6795e-03 eta: 1 day, 15:38:21 time: 0.3013 data_time: 0.0033 loss: 1.9849 03/11 15:17:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:17:15 - mmengine - INFO - Epoch(train) [267][1000/1252] lr: 1.6795e-03 eta: 1 day, 15:37:46 time: 0.3407 data_time: 0.0496 loss: 1.9566 03/11 15:17:49 - mmengine - INFO - Epoch(train) [267][1100/1252] lr: 1.6795e-03 eta: 1 day, 15:37:12 time: 0.2787 data_time: 0.0044 loss: 2.0023 03/11 15:18:23 - mmengine - INFO - Epoch(train) [267][1200/1252] lr: 1.6795e-03 eta: 1 day, 15:36:37 time: 0.3459 data_time: 0.0032 loss: 1.8395 03/11 15:18:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:18:41 - mmengine - INFO - Saving checkpoint at 267 epochs 03/11 15:19:05 - mmengine - INFO - Epoch(val) [267][49/49] accuracy/top1: 62.8660 accuracy/top5: 84.2200 03/11 15:19:42 - mmengine - INFO - Epoch(train) [268][ 100/1252] lr: 1.6795e-03 eta: 1 day, 15:35:48 time: 0.3613 data_time: 0.0888 loss: 2.0352 03/11 15:20:16 - mmengine - INFO - Epoch(train) [268][ 200/1252] lr: 1.6795e-03 eta: 1 day, 15:35:13 time: 0.3238 data_time: 0.0039 loss: 1.8871 03/11 15:20:50 - mmengine - INFO - Epoch(train) [268][ 300/1252] lr: 1.6795e-03 eta: 1 day, 15:34:38 time: 0.3271 data_time: 0.0041 loss: 1.9898 03/11 15:21:24 - mmengine - INFO - Epoch(train) [268][ 400/1252] lr: 1.6795e-03 eta: 1 day, 15:34:03 time: 0.3124 data_time: 0.0034 loss: 1.8085 03/11 15:21:58 - mmengine - INFO - Epoch(train) [268][ 500/1252] lr: 1.6795e-03 eta: 1 day, 15:33:29 time: 0.2862 data_time: 0.0040 loss: 1.9110 03/11 15:22:32 - mmengine - INFO - Epoch(train) [268][ 600/1252] lr: 1.6795e-03 eta: 1 day, 15:32:54 time: 0.3157 data_time: 0.0031 loss: 1.8458 03/11 15:23:07 - mmengine - INFO - Epoch(train) [268][ 700/1252] lr: 1.6795e-03 eta: 1 day, 15:32:21 time: 0.3990 data_time: 0.0121 loss: 2.0243 03/11 15:23:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:23:40 - mmengine - INFO - Epoch(train) [268][ 800/1252] lr: 1.6795e-03 eta: 1 day, 15:31:44 time: 0.2950 data_time: 0.0035 loss: 1.9757 03/11 15:24:14 - mmengine - INFO - Epoch(train) [268][ 900/1252] lr: 1.6795e-03 eta: 1 day, 15:31:10 time: 0.3309 data_time: 0.0244 loss: 1.8984 03/11 15:24:48 - mmengine - INFO - Epoch(train) [268][1000/1252] lr: 1.6795e-03 eta: 1 day, 15:30:35 time: 0.3410 data_time: 0.0036 loss: 1.9001 03/11 15:25:22 - mmengine - INFO - Epoch(train) [268][1100/1252] lr: 1.6795e-03 eta: 1 day, 15:30:01 time: 0.3274 data_time: 0.0042 loss: 1.9176 03/11 15:25:56 - mmengine - INFO - Epoch(train) [268][1200/1252] lr: 1.6795e-03 eta: 1 day, 15:29:26 time: 0.3034 data_time: 0.0042 loss: 1.9648 03/11 15:26:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:26:14 - mmengine - INFO - Saving checkpoint at 268 epochs 03/11 15:26:39 - mmengine - INFO - Epoch(val) [268][49/49] accuracy/top1: 62.6500 accuracy/top5: 84.1600 03/11 15:27:16 - mmengine - INFO - Epoch(train) [269][ 100/1252] lr: 1.6342e-03 eta: 1 day, 15:28:36 time: 0.2921 data_time: 0.0033 loss: 1.9206 03/11 15:27:51 - mmengine - INFO - Epoch(train) [269][ 200/1252] lr: 1.6342e-03 eta: 1 day, 15:28:03 time: 0.3902 data_time: 0.0033 loss: 2.0406 03/11 15:28:24 - mmengine - INFO - Epoch(train) [269][ 300/1252] lr: 1.6342e-03 eta: 1 day, 15:27:28 time: 0.3213 data_time: 0.1112 loss: 1.9679 03/11 15:28:59 - mmengine - INFO - Epoch(train) [269][ 400/1252] lr: 1.6342e-03 eta: 1 day, 15:26:54 time: 0.3361 data_time: 0.0437 loss: 1.8482 03/11 15:29:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:29:32 - mmengine - INFO - Epoch(train) [269][ 500/1252] lr: 1.6342e-03 eta: 1 day, 15:26:19 time: 0.3532 data_time: 0.0488 loss: 1.8841 03/11 15:30:06 - mmengine - INFO - Epoch(train) [269][ 600/1252] lr: 1.6342e-03 eta: 1 day, 15:25:44 time: 0.3609 data_time: 0.0573 loss: 1.9183 03/11 15:30:40 - mmengine - INFO - Epoch(train) [269][ 700/1252] lr: 1.6342e-03 eta: 1 day, 15:25:09 time: 0.3558 data_time: 0.0029 loss: 1.8857 03/11 15:31:14 - mmengine - INFO - Epoch(train) [269][ 800/1252] lr: 1.6342e-03 eta: 1 day, 15:24:34 time: 0.3039 data_time: 0.0039 loss: 1.8775 03/11 15:31:49 - mmengine - INFO - Epoch(train) [269][ 900/1252] lr: 1.6342e-03 eta: 1 day, 15:24:00 time: 0.3414 data_time: 0.0037 loss: 1.8624 03/11 15:32:22 - mmengine - INFO - Epoch(train) [269][1000/1252] lr: 1.6342e-03 eta: 1 day, 15:23:25 time: 0.3128 data_time: 0.0034 loss: 1.8773 03/11 15:32:57 - mmengine - INFO - Epoch(train) [269][1100/1252] lr: 1.6342e-03 eta: 1 day, 15:22:51 time: 0.3357 data_time: 0.0036 loss: 1.8740 03/11 15:33:31 - mmengine - INFO - Epoch(train) [269][1200/1252] lr: 1.6342e-03 eta: 1 day, 15:22:16 time: 0.3593 data_time: 0.0033 loss: 1.8829 03/11 15:33:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:33:48 - mmengine - INFO - Saving checkpoint at 269 epochs 03/11 15:34:13 - mmengine - INFO - Epoch(val) [269][49/49] accuracy/top1: 63.4320 accuracy/top5: 84.7300 03/11 15:34:49 - mmengine - INFO - Epoch(train) [270][ 100/1252] lr: 1.6342e-03 eta: 1 day, 15:21:26 time: 0.3151 data_time: 0.0035 loss: 1.9438 03/11 15:35:24 - mmengine - INFO - Epoch(train) [270][ 200/1252] lr: 1.6342e-03 eta: 1 day, 15:20:52 time: 0.3765 data_time: 0.1884 loss: 1.9133 03/11 15:35:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:35:57 - mmengine - INFO - Epoch(train) [270][ 300/1252] lr: 1.6342e-03 eta: 1 day, 15:20:17 time: 0.3395 data_time: 0.1493 loss: 1.9554 03/11 15:36:31 - mmengine - INFO - Epoch(train) [270][ 400/1252] lr: 1.6342e-03 eta: 1 day, 15:19:42 time: 0.3493 data_time: 0.0033 loss: 1.8545 03/11 15:37:05 - mmengine - INFO - Epoch(train) [270][ 500/1252] lr: 1.6342e-03 eta: 1 day, 15:19:07 time: 0.3250 data_time: 0.0037 loss: 1.9357 03/11 15:37:39 - mmengine - INFO - Epoch(train) [270][ 600/1252] lr: 1.6342e-03 eta: 1 day, 15:18:33 time: 0.3729 data_time: 0.0732 loss: 1.9265 03/11 15:38:14 - mmengine - INFO - Epoch(train) [270][ 700/1252] lr: 1.6342e-03 eta: 1 day, 15:17:59 time: 0.2894 data_time: 0.0034 loss: 2.0021 03/11 15:38:48 - mmengine - INFO - Epoch(train) [270][ 800/1252] lr: 1.6342e-03 eta: 1 day, 15:17:24 time: 0.3650 data_time: 0.0033 loss: 1.8810 03/11 15:39:22 - mmengine - INFO - Epoch(train) [270][ 900/1252] lr: 1.6342e-03 eta: 1 day, 15:16:50 time: 0.3816 data_time: 0.0037 loss: 1.9855 03/11 15:39:56 - mmengine - INFO - Epoch(train) [270][1000/1252] lr: 1.6342e-03 eta: 1 day, 15:16:15 time: 0.3485 data_time: 0.0728 loss: 1.9450 03/11 15:40:29 - mmengine - INFO - Epoch(train) [270][1100/1252] lr: 1.6342e-03 eta: 1 day, 15:15:39 time: 0.3395 data_time: 0.0034 loss: 1.9793 03/11 15:41:04 - mmengine - INFO - Epoch(train) [270][1200/1252] lr: 1.6342e-03 eta: 1 day, 15:15:05 time: 0.3510 data_time: 0.0031 loss: 1.8689 03/11 15:41:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:41:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:41:21 - mmengine - INFO - Saving checkpoint at 270 epochs 03/11 15:41:45 - mmengine - INFO - Epoch(val) [270][49/49] accuracy/top1: 63.5880 accuracy/top5: 84.7780 03/11 15:42:23 - mmengine - INFO - Epoch(train) [271][ 100/1252] lr: 1.5901e-03 eta: 1 day, 15:14:16 time: 0.3545 data_time: 0.0034 loss: 1.9641 03/11 15:42:57 - mmengine - INFO - Epoch(train) [271][ 200/1252] lr: 1.5901e-03 eta: 1 day, 15:13:41 time: 0.3103 data_time: 0.1199 loss: 1.7781 03/11 15:43:30 - mmengine - INFO - Epoch(train) [271][ 300/1252] lr: 1.5901e-03 eta: 1 day, 15:13:06 time: 0.3603 data_time: 0.0037 loss: 1.8912 03/11 15:44:04 - mmengine - INFO - Epoch(train) [271][ 400/1252] lr: 1.5901e-03 eta: 1 day, 15:12:31 time: 0.3180 data_time: 0.0035 loss: 1.8679 03/11 15:44:38 - mmengine - INFO - Epoch(train) [271][ 500/1252] lr: 1.5901e-03 eta: 1 day, 15:11:57 time: 0.3244 data_time: 0.0034 loss: 1.9456 03/11 15:45:12 - mmengine - INFO - Epoch(train) [271][ 600/1252] lr: 1.5901e-03 eta: 1 day, 15:11:22 time: 0.3569 data_time: 0.1636 loss: 1.8515 03/11 15:45:46 - mmengine - INFO - Epoch(train) [271][ 700/1252] lr: 1.5901e-03 eta: 1 day, 15:10:47 time: 0.3496 data_time: 0.0036 loss: 1.9680 03/11 15:46:20 - mmengine - INFO - Epoch(train) [271][ 800/1252] lr: 1.5901e-03 eta: 1 day, 15:10:12 time: 0.3596 data_time: 0.0036 loss: 1.9464 03/11 15:46:54 - mmengine - INFO - Epoch(train) [271][ 900/1252] lr: 1.5901e-03 eta: 1 day, 15:09:37 time: 0.3010 data_time: 0.0035 loss: 1.9637 03/11 15:47:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:47:28 - mmengine - INFO - Epoch(train) [271][1000/1252] lr: 1.5901e-03 eta: 1 day, 15:09:03 time: 0.3684 data_time: 0.0035 loss: 1.9413 03/11 15:48:02 - mmengine - INFO - Epoch(train) [271][1100/1252] lr: 1.5901e-03 eta: 1 day, 15:08:28 time: 0.3330 data_time: 0.0035 loss: 1.8964 03/11 15:48:36 - mmengine - INFO - Epoch(train) [271][1200/1252] lr: 1.5901e-03 eta: 1 day, 15:07:52 time: 0.3399 data_time: 0.2163 loss: 1.8712 03/11 15:48:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:48:53 - mmengine - INFO - Saving checkpoint at 271 epochs 03/11 15:49:18 - mmengine - INFO - Epoch(val) [271][49/49] accuracy/top1: 63.7060 accuracy/top5: 85.0760 03/11 15:49:55 - mmengine - INFO - Epoch(train) [272][ 100/1252] lr: 1.5901e-03 eta: 1 day, 15:07:04 time: 0.3635 data_time: 0.0793 loss: 1.9259 03/11 15:50:29 - mmengine - INFO - Epoch(train) [272][ 200/1252] lr: 1.5901e-03 eta: 1 day, 15:06:28 time: 0.3166 data_time: 0.0043 loss: 1.9723 03/11 15:51:02 - mmengine - INFO - Epoch(train) [272][ 300/1252] lr: 1.5901e-03 eta: 1 day, 15:05:53 time: 0.3146 data_time: 0.1727 loss: 1.8859 03/11 15:51:37 - mmengine - INFO - Epoch(train) [272][ 400/1252] lr: 1.5901e-03 eta: 1 day, 15:05:19 time: 0.3187 data_time: 0.0070 loss: 1.8610 03/11 15:52:10 - mmengine - INFO - Epoch(train) [272][ 500/1252] lr: 1.5901e-03 eta: 1 day, 15:04:44 time: 0.2961 data_time: 0.0032 loss: 1.9568 03/11 15:52:45 - mmengine - INFO - Epoch(train) [272][ 600/1252] lr: 1.5901e-03 eta: 1 day, 15:04:09 time: 0.3750 data_time: 0.0031 loss: 1.8940 03/11 15:53:19 - mmengine - INFO - Epoch(train) [272][ 700/1252] lr: 1.5901e-03 eta: 1 day, 15:03:35 time: 0.3043 data_time: 0.0038 loss: 1.9453 03/11 15:53:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:53:53 - mmengine - INFO - Epoch(train) [272][ 800/1252] lr: 1.5901e-03 eta: 1 day, 15:03:01 time: 0.3416 data_time: 0.0035 loss: 2.0248 03/11 15:54:27 - mmengine - INFO - Epoch(train) [272][ 900/1252] lr: 1.5901e-03 eta: 1 day, 15:02:25 time: 0.3379 data_time: 0.0516 loss: 1.9098 03/11 15:55:00 - mmengine - INFO - Epoch(train) [272][1000/1252] lr: 1.5901e-03 eta: 1 day, 15:01:50 time: 0.3274 data_time: 0.0035 loss: 1.8906 03/11 15:55:35 - mmengine - INFO - Epoch(train) [272][1100/1252] lr: 1.5901e-03 eta: 1 day, 15:01:17 time: 0.3742 data_time: 0.1181 loss: 1.9810 03/11 15:56:09 - mmengine - INFO - Epoch(train) [272][1200/1252] lr: 1.5901e-03 eta: 1 day, 15:00:41 time: 0.3052 data_time: 0.0034 loss: 1.9381 03/11 15:56:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:56:26 - mmengine - INFO - Saving checkpoint at 272 epochs 03/11 15:56:50 - mmengine - INFO - Epoch(val) [272][49/49] accuracy/top1: 63.1980 accuracy/top5: 84.4840 03/11 15:57:26 - mmengine - INFO - Epoch(train) [273][ 100/1252] lr: 1.5471e-03 eta: 1 day, 14:59:51 time: 0.3575 data_time: 0.1549 loss: 1.9739 03/11 15:58:01 - mmengine - INFO - Epoch(train) [273][ 200/1252] lr: 1.5471e-03 eta: 1 day, 14:59:17 time: 0.3304 data_time: 0.0035 loss: 1.9720 03/11 15:58:34 - mmengine - INFO - Epoch(train) [273][ 300/1252] lr: 1.5471e-03 eta: 1 day, 14:58:41 time: 0.3562 data_time: 0.0037 loss: 1.8020 03/11 15:59:08 - mmengine - INFO - Epoch(train) [273][ 400/1252] lr: 1.5471e-03 eta: 1 day, 14:58:06 time: 0.2927 data_time: 0.0030 loss: 1.9638 03/11 15:59:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 15:59:43 - mmengine - INFO - Epoch(train) [273][ 500/1252] lr: 1.5471e-03 eta: 1 day, 14:57:34 time: 0.4041 data_time: 0.0067 loss: 1.8885 03/11 16:00:16 - mmengine - INFO - Epoch(train) [273][ 600/1252] lr: 1.5471e-03 eta: 1 day, 14:56:56 time: 0.2905 data_time: 0.0093 loss: 1.9946 03/11 16:00:51 - mmengine - INFO - Epoch(train) [273][ 700/1252] lr: 1.5471e-03 eta: 1 day, 14:56:24 time: 0.3774 data_time: 0.0030 loss: 1.8706 03/11 16:01:24 - mmengine - INFO - Epoch(train) [273][ 800/1252] lr: 1.5471e-03 eta: 1 day, 14:55:48 time: 0.3526 data_time: 0.0035 loss: 1.9269 03/11 16:01:59 - mmengine - INFO - Epoch(train) [273][ 900/1252] lr: 1.5471e-03 eta: 1 day, 14:55:15 time: 0.3672 data_time: 0.0033 loss: 2.0318 03/11 16:02:32 - mmengine - INFO - Epoch(train) [273][1000/1252] lr: 1.5471e-03 eta: 1 day, 14:54:38 time: 0.3309 data_time: 0.1158 loss: 1.9429 03/11 16:03:06 - mmengine - INFO - Epoch(train) [273][1100/1252] lr: 1.5471e-03 eta: 1 day, 14:54:03 time: 0.2801 data_time: 0.0042 loss: 1.9409 03/11 16:03:40 - mmengine - INFO - Epoch(train) [273][1200/1252] lr: 1.5471e-03 eta: 1 day, 14:53:28 time: 0.2944 data_time: 0.1277 loss: 1.9884 03/11 16:03:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:03:57 - mmengine - INFO - Saving checkpoint at 273 epochs 03/11 16:04:21 - mmengine - INFO - Epoch(val) [273][49/49] accuracy/top1: 63.1280 accuracy/top5: 84.6960 03/11 16:04:58 - mmengine - INFO - Epoch(train) [274][ 100/1252] lr: 1.5471e-03 eta: 1 day, 14:52:38 time: 0.3264 data_time: 0.0072 loss: 1.9482 03/11 16:05:32 - mmengine - INFO - Epoch(train) [274][ 200/1252] lr: 1.5471e-03 eta: 1 day, 14:52:03 time: 0.3308 data_time: 0.0377 loss: 1.9546 03/11 16:05:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:06:06 - mmengine - INFO - Epoch(train) [274][ 300/1252] lr: 1.5471e-03 eta: 1 day, 14:51:29 time: 0.3471 data_time: 0.0039 loss: 1.7408 03/11 16:06:40 - mmengine - INFO - Epoch(train) [274][ 400/1252] lr: 1.5471e-03 eta: 1 day, 14:50:55 time: 0.3334 data_time: 0.1576 loss: 1.9155 03/11 16:07:14 - mmengine - INFO - Epoch(train) [274][ 500/1252] lr: 1.5471e-03 eta: 1 day, 14:50:20 time: 0.3427 data_time: 0.0034 loss: 2.0009 03/11 16:07:49 - mmengine - INFO - Epoch(train) [274][ 600/1252] lr: 1.5471e-03 eta: 1 day, 14:49:46 time: 0.3615 data_time: 0.0033 loss: 1.8133 03/11 16:08:23 - mmengine - INFO - Epoch(train) [274][ 700/1252] lr: 1.5471e-03 eta: 1 day, 14:49:11 time: 0.3973 data_time: 0.0036 loss: 1.8667 03/11 16:08:56 - mmengine - INFO - Epoch(train) [274][ 800/1252] lr: 1.5471e-03 eta: 1 day, 14:48:36 time: 0.3565 data_time: 0.0286 loss: 1.9781 03/11 16:09:31 - mmengine - INFO - Epoch(train) [274][ 900/1252] lr: 1.5471e-03 eta: 1 day, 14:48:02 time: 0.2752 data_time: 0.0270 loss: 1.9604 03/11 16:10:06 - mmengine - INFO - Epoch(train) [274][1000/1252] lr: 1.5471e-03 eta: 1 day, 14:47:28 time: 0.3147 data_time: 0.0033 loss: 1.8813 03/11 16:10:40 - mmengine - INFO - Epoch(train) [274][1100/1252] lr: 1.5471e-03 eta: 1 day, 14:46:55 time: 0.3189 data_time: 0.0029 loss: 1.9225 03/11 16:11:13 - mmengine - INFO - Epoch(train) [274][1200/1252] lr: 1.5471e-03 eta: 1 day, 14:46:19 time: 0.3411 data_time: 0.0719 loss: 1.8564 03/11 16:11:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:11:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:11:30 - mmengine - INFO - Saving checkpoint at 274 epochs 03/11 16:11:55 - mmengine - INFO - Epoch(val) [274][49/49] accuracy/top1: 63.4840 accuracy/top5: 84.9040 03/11 16:12:32 - mmengine - INFO - Epoch(train) [275][ 100/1252] lr: 1.5054e-03 eta: 1 day, 14:45:29 time: 0.3168 data_time: 0.0050 loss: 1.9227 03/11 16:13:06 - mmengine - INFO - Epoch(train) [275][ 200/1252] lr: 1.5054e-03 eta: 1 day, 14:44:55 time: 0.3255 data_time: 0.0034 loss: 1.9120 03/11 16:13:40 - mmengine - INFO - Epoch(train) [275][ 300/1252] lr: 1.5054e-03 eta: 1 day, 14:44:20 time: 0.3192 data_time: 0.0558 loss: 1.9701 03/11 16:14:15 - mmengine - INFO - Epoch(train) [275][ 400/1252] lr: 1.5054e-03 eta: 1 day, 14:43:46 time: 0.4402 data_time: 0.0805 loss: 2.0806 03/11 16:14:48 - mmengine - INFO - Epoch(train) [275][ 500/1252] lr: 1.5054e-03 eta: 1 day, 14:43:10 time: 0.3436 data_time: 0.0036 loss: 1.9898 03/11 16:15:22 - mmengine - INFO - Epoch(train) [275][ 600/1252] lr: 1.5054e-03 eta: 1 day, 14:42:36 time: 0.3287 data_time: 0.0034 loss: 1.9119 03/11 16:15:57 - mmengine - INFO - Epoch(train) [275][ 700/1252] lr: 1.5054e-03 eta: 1 day, 14:42:02 time: 0.3277 data_time: 0.0710 loss: 1.8925 03/11 16:16:31 - mmengine - INFO - Epoch(train) [275][ 800/1252] lr: 1.5054e-03 eta: 1 day, 14:41:28 time: 0.3591 data_time: 0.0035 loss: 1.9857 03/11 16:17:05 - mmengine - INFO - Epoch(train) [275][ 900/1252] lr: 1.5054e-03 eta: 1 day, 14:40:52 time: 0.3095 data_time: 0.0039 loss: 1.9565 03/11 16:17:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:17:39 - mmengine - INFO - Epoch(train) [275][1000/1252] lr: 1.5054e-03 eta: 1 day, 14:40:18 time: 0.2898 data_time: 0.0646 loss: 1.7340 03/11 16:18:13 - mmengine - INFO - Epoch(train) [275][1100/1252] lr: 1.5054e-03 eta: 1 day, 14:39:44 time: 0.2904 data_time: 0.0038 loss: 1.9044 03/11 16:18:48 - mmengine - INFO - Epoch(train) [275][1200/1252] lr: 1.5054e-03 eta: 1 day, 14:39:10 time: 0.3606 data_time: 0.0030 loss: 1.9398 03/11 16:19:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:19:05 - mmengine - INFO - Saving checkpoint at 275 epochs 03/11 16:19:30 - mmengine - INFO - Epoch(val) [275][49/49] accuracy/top1: 63.5680 accuracy/top5: 84.8420 03/11 16:20:06 - mmengine - INFO - Epoch(train) [276][ 100/1252] lr: 1.5054e-03 eta: 1 day, 14:38:20 time: 0.3329 data_time: 0.0064 loss: 1.9721 03/11 16:20:41 - mmengine - INFO - Epoch(train) [276][ 200/1252] lr: 1.5054e-03 eta: 1 day, 14:37:46 time: 0.3580 data_time: 0.0099 loss: 2.0181 03/11 16:21:15 - mmengine - INFO - Epoch(train) [276][ 300/1252] lr: 1.5054e-03 eta: 1 day, 14:37:11 time: 0.3351 data_time: 0.0264 loss: 1.8547 03/11 16:21:49 - mmengine - INFO - Epoch(train) [276][ 400/1252] lr: 1.5054e-03 eta: 1 day, 14:36:37 time: 0.3441 data_time: 0.1971 loss: 1.9423 03/11 16:22:23 - mmengine - INFO - Epoch(train) [276][ 500/1252] lr: 1.5054e-03 eta: 1 day, 14:36:03 time: 0.3337 data_time: 0.0033 loss: 1.8775 03/11 16:22:57 - mmengine - INFO - Epoch(train) [276][ 600/1252] lr: 1.5054e-03 eta: 1 day, 14:35:28 time: 0.3113 data_time: 0.0034 loss: 1.8742 03/11 16:23:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:23:32 - mmengine - INFO - Epoch(train) [276][ 700/1252] lr: 1.5054e-03 eta: 1 day, 14:34:54 time: 0.3817 data_time: 0.2517 loss: 1.9785 03/11 16:24:07 - mmengine - INFO - Epoch(train) [276][ 800/1252] lr: 1.5054e-03 eta: 1 day, 14:34:21 time: 0.3700 data_time: 0.2346 loss: 1.8438 03/11 16:24:40 - mmengine - INFO - Epoch(train) [276][ 900/1252] lr: 1.5054e-03 eta: 1 day, 14:33:45 time: 0.3432 data_time: 0.2120 loss: 1.9648 03/11 16:25:14 - mmengine - INFO - Epoch(train) [276][1000/1252] lr: 1.5054e-03 eta: 1 day, 14:33:11 time: 0.3621 data_time: 0.0036 loss: 1.9483 03/11 16:25:49 - mmengine - INFO - Epoch(train) [276][1100/1252] lr: 1.5054e-03 eta: 1 day, 14:32:36 time: 0.3011 data_time: 0.0032 loss: 2.0133 03/11 16:26:23 - mmengine - INFO - Epoch(train) [276][1200/1252] lr: 1.5054e-03 eta: 1 day, 14:32:02 time: 0.3275 data_time: 0.0381 loss: 1.9566 03/11 16:26:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:26:39 - mmengine - INFO - Saving checkpoint at 276 epochs 03/11 16:27:03 - mmengine - INFO - Epoch(val) [276][49/49] accuracy/top1: 62.8460 accuracy/top5: 84.2420 03/11 16:27:40 - mmengine - INFO - Epoch(train) [277][ 100/1252] lr: 1.4647e-03 eta: 1 day, 14:31:11 time: 0.3384 data_time: 0.0037 loss: 1.9538 03/11 16:28:15 - mmengine - INFO - Epoch(train) [277][ 200/1252] lr: 1.4647e-03 eta: 1 day, 14:30:38 time: 0.3304 data_time: 0.0031 loss: 1.9284 03/11 16:28:49 - mmengine - INFO - Epoch(train) [277][ 300/1252] lr: 1.4647e-03 eta: 1 day, 14:30:03 time: 0.3617 data_time: 0.0032 loss: 1.9061 03/11 16:29:22 - mmengine - INFO - Epoch(train) [277][ 400/1252] lr: 1.4647e-03 eta: 1 day, 14:29:27 time: 0.3481 data_time: 0.0269 loss: 1.8942 03/11 16:29:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:29:57 - mmengine - INFO - Epoch(train) [277][ 500/1252] lr: 1.4647e-03 eta: 1 day, 14:28:53 time: 0.3439 data_time: 0.0032 loss: 1.9782 03/11 16:30:30 - mmengine - INFO - Epoch(train) [277][ 600/1252] lr: 1.4647e-03 eta: 1 day, 14:28:18 time: 0.3637 data_time: 0.0136 loss: 1.8286 03/11 16:31:05 - mmengine - INFO - Epoch(train) [277][ 700/1252] lr: 1.4647e-03 eta: 1 day, 14:27:44 time: 0.3720 data_time: 0.0033 loss: 1.9272 03/11 16:31:38 - mmengine - INFO - Epoch(train) [277][ 800/1252] lr: 1.4647e-03 eta: 1 day, 14:27:08 time: 0.2998 data_time: 0.0670 loss: 1.8551 03/11 16:32:13 - mmengine - INFO - Epoch(train) [277][ 900/1252] lr: 1.4647e-03 eta: 1 day, 14:26:34 time: 0.2942 data_time: 0.0865 loss: 1.8984 03/11 16:32:46 - mmengine - INFO - Epoch(train) [277][1000/1252] lr: 1.4647e-03 eta: 1 day, 14:25:59 time: 0.3275 data_time: 0.1459 loss: 1.8699 03/11 16:33:21 - mmengine - INFO - Epoch(train) [277][1100/1252] lr: 1.4647e-03 eta: 1 day, 14:25:25 time: 0.3345 data_time: 0.1102 loss: 1.9202 03/11 16:33:55 - mmengine - INFO - Epoch(train) [277][1200/1252] lr: 1.4647e-03 eta: 1 day, 14:24:51 time: 0.3678 data_time: 0.0031 loss: 1.8493 03/11 16:34:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:34:12 - mmengine - INFO - Saving checkpoint at 277 epochs 03/11 16:34:37 - mmengine - INFO - Epoch(val) [277][49/49] accuracy/top1: 62.3920 accuracy/top5: 84.0460 03/11 16:35:14 - mmengine - INFO - Epoch(train) [278][ 100/1252] lr: 1.4647e-03 eta: 1 day, 14:24:02 time: 0.3709 data_time: 0.0035 loss: 1.8919 03/11 16:35:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:35:47 - mmengine - INFO - Epoch(train) [278][ 200/1252] lr: 1.4647e-03 eta: 1 day, 14:23:26 time: 0.3475 data_time: 0.0033 loss: 1.9321 03/11 16:36:21 - mmengine - INFO - Epoch(train) [278][ 300/1252] lr: 1.4647e-03 eta: 1 day, 14:22:51 time: 0.3568 data_time: 0.0191 loss: 1.9327 03/11 16:36:55 - mmengine - INFO - Epoch(train) [278][ 400/1252] lr: 1.4647e-03 eta: 1 day, 14:22:17 time: 0.3473 data_time: 0.0037 loss: 1.9913 03/11 16:37:29 - mmengine - INFO - Epoch(train) [278][ 500/1252] lr: 1.4647e-03 eta: 1 day, 14:21:42 time: 0.3355 data_time: 0.0036 loss: 1.9141 03/11 16:38:02 - mmengine - INFO - Epoch(train) [278][ 600/1252] lr: 1.4647e-03 eta: 1 day, 14:21:06 time: 0.2954 data_time: 0.0032 loss: 2.0688 03/11 16:38:37 - mmengine - INFO - Epoch(train) [278][ 700/1252] lr: 1.4647e-03 eta: 1 day, 14:20:32 time: 0.3147 data_time: 0.0037 loss: 1.9838 03/11 16:39:11 - mmengine - INFO - Epoch(train) [278][ 800/1252] lr: 1.4647e-03 eta: 1 day, 14:19:57 time: 0.3080 data_time: 0.0033 loss: 1.9735 03/11 16:39:44 - mmengine - INFO - Epoch(train) [278][ 900/1252] lr: 1.4647e-03 eta: 1 day, 14:19:22 time: 0.3426 data_time: 0.0053 loss: 1.8915 03/11 16:40:18 - mmengine - INFO - Epoch(train) [278][1000/1252] lr: 1.4647e-03 eta: 1 day, 14:18:47 time: 0.3245 data_time: 0.1544 loss: 1.8652 03/11 16:40:52 - mmengine - INFO - Epoch(train) [278][1100/1252] lr: 1.4647e-03 eta: 1 day, 14:18:12 time: 0.2790 data_time: 0.0094 loss: 1.9262 03/11 16:41:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:41:27 - mmengine - INFO - Epoch(train) [278][1200/1252] lr: 1.4647e-03 eta: 1 day, 14:17:38 time: 0.3558 data_time: 0.2080 loss: 1.9750 03/11 16:41:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:41:45 - mmengine - INFO - Saving checkpoint at 278 epochs 03/11 16:42:09 - mmengine - INFO - Epoch(val) [278][49/49] accuracy/top1: 62.2080 accuracy/top5: 83.8420 03/11 16:42:46 - mmengine - INFO - Epoch(train) [279][ 100/1252] lr: 1.4252e-03 eta: 1 day, 14:16:49 time: 0.3117 data_time: 0.1470 loss: 2.0346 03/11 16:43:20 - mmengine - INFO - Epoch(train) [279][ 200/1252] lr: 1.4252e-03 eta: 1 day, 14:16:15 time: 0.3334 data_time: 0.1666 loss: 1.8749 03/11 16:43:54 - mmengine - INFO - Epoch(train) [279][ 300/1252] lr: 1.4252e-03 eta: 1 day, 14:15:41 time: 0.4030 data_time: 0.0032 loss: 1.8957 03/11 16:44:28 - mmengine - INFO - Epoch(train) [279][ 400/1252] lr: 1.4252e-03 eta: 1 day, 14:15:06 time: 0.2985 data_time: 0.0034 loss: 1.9070 03/11 16:45:02 - mmengine - INFO - Epoch(train) [279][ 500/1252] lr: 1.4252e-03 eta: 1 day, 14:14:31 time: 0.3507 data_time: 0.0038 loss: 1.8791 03/11 16:45:36 - mmengine - INFO - Epoch(train) [279][ 600/1252] lr: 1.4252e-03 eta: 1 day, 14:13:57 time: 0.3897 data_time: 0.1952 loss: 1.9067 03/11 16:46:10 - mmengine - INFO - Epoch(train) [279][ 700/1252] lr: 1.4252e-03 eta: 1 day, 14:13:22 time: 0.3565 data_time: 0.0963 loss: 1.8722 03/11 16:46:44 - mmengine - INFO - Epoch(train) [279][ 800/1252] lr: 1.4252e-03 eta: 1 day, 14:12:47 time: 0.3050 data_time: 0.1265 loss: 1.9330 03/11 16:47:18 - mmengine - INFO - Epoch(train) [279][ 900/1252] lr: 1.4252e-03 eta: 1 day, 14:12:12 time: 0.3328 data_time: 0.0042 loss: 1.9695 03/11 16:47:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:47:52 - mmengine - INFO - Epoch(train) [279][1000/1252] lr: 1.4252e-03 eta: 1 day, 14:11:38 time: 0.3473 data_time: 0.0427 loss: 1.9332 03/11 16:48:27 - mmengine - INFO - Epoch(train) [279][1100/1252] lr: 1.4252e-03 eta: 1 day, 14:11:04 time: 0.3511 data_time: 0.0031 loss: 1.8454 03/11 16:49:01 - mmengine - INFO - Epoch(train) [279][1200/1252] lr: 1.4252e-03 eta: 1 day, 14:10:29 time: 0.3550 data_time: 0.0050 loss: 1.9656 03/11 16:49:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:49:17 - mmengine - INFO - Saving checkpoint at 279 epochs 03/11 16:49:42 - mmengine - INFO - Epoch(val) [279][49/49] accuracy/top1: 62.8420 accuracy/top5: 84.2760 03/11 16:50:20 - mmengine - INFO - Epoch(train) [280][ 100/1252] lr: 1.4252e-03 eta: 1 day, 14:09:40 time: 0.3979 data_time: 0.0452 loss: 1.8514 03/11 16:50:52 - mmengine - INFO - Epoch(train) [280][ 200/1252] lr: 1.4252e-03 eta: 1 day, 14:09:04 time: 0.3218 data_time: 0.0033 loss: 1.9383 03/11 16:51:27 - mmengine - INFO - Epoch(train) [280][ 300/1252] lr: 1.4252e-03 eta: 1 day, 14:08:30 time: 0.3276 data_time: 0.0883 loss: 1.9300 03/11 16:52:02 - mmengine - INFO - Epoch(train) [280][ 400/1252] lr: 1.4252e-03 eta: 1 day, 14:07:56 time: 0.3175 data_time: 0.0034 loss: 1.9019 03/11 16:52:36 - mmengine - INFO - Epoch(train) [280][ 500/1252] lr: 1.4252e-03 eta: 1 day, 14:07:22 time: 0.3384 data_time: 0.0045 loss: 2.0258 03/11 16:53:10 - mmengine - INFO - Epoch(train) [280][ 600/1252] lr: 1.4252e-03 eta: 1 day, 14:06:47 time: 0.3717 data_time: 0.0033 loss: 1.8982 03/11 16:53:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:53:42 - mmengine - INFO - Epoch(train) [280][ 700/1252] lr: 1.4252e-03 eta: 1 day, 14:06:10 time: 0.2992 data_time: 0.0653 loss: 1.8251 03/11 16:54:17 - mmengine - INFO - Epoch(train) [280][ 800/1252] lr: 1.4252e-03 eta: 1 day, 14:05:36 time: 0.3027 data_time: 0.0580 loss: 1.9663 03/11 16:54:50 - mmengine - INFO - Epoch(train) [280][ 900/1252] lr: 1.4252e-03 eta: 1 day, 14:05:01 time: 0.3304 data_time: 0.0976 loss: 2.0114 03/11 16:55:25 - mmengine - INFO - Epoch(train) [280][1000/1252] lr: 1.4252e-03 eta: 1 day, 14:04:27 time: 0.4136 data_time: 0.0436 loss: 1.8162 03/11 16:55:58 - mmengine - INFO - Epoch(train) [280][1100/1252] lr: 1.4252e-03 eta: 1 day, 14:03:51 time: 0.3382 data_time: 0.0032 loss: 1.8799 03/11 16:56:33 - mmengine - INFO - Epoch(train) [280][1200/1252] lr: 1.4252e-03 eta: 1 day, 14:03:18 time: 0.2865 data_time: 0.1694 loss: 1.9202 03/11 16:56:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 16:56:50 - mmengine - INFO - Saving checkpoint at 280 epochs 03/11 16:57:14 - mmengine - INFO - Epoch(val) [280][49/49] accuracy/top1: 63.0040 accuracy/top5: 84.4220 03/11 16:57:51 - mmengine - INFO - Epoch(train) [281][ 100/1252] lr: 1.3867e-03 eta: 1 day, 14:02:27 time: 0.3151 data_time: 0.1874 loss: 1.7644 03/11 16:58:25 - mmengine - INFO - Epoch(train) [281][ 200/1252] lr: 1.3867e-03 eta: 1 day, 14:01:53 time: 0.3234 data_time: 0.0420 loss: 1.9216 03/11 16:58:59 - mmengine - INFO - Epoch(train) [281][ 300/1252] lr: 1.3867e-03 eta: 1 day, 14:01:18 time: 0.3481 data_time: 0.0037 loss: 1.9299 03/11 16:59:33 - mmengine - INFO - Epoch(train) [281][ 400/1252] lr: 1.3867e-03 eta: 1 day, 14:00:44 time: 0.3266 data_time: 0.0641 loss: 1.8395 03/11 16:59:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:00:07 - mmengine - INFO - Epoch(train) [281][ 500/1252] lr: 1.3867e-03 eta: 1 day, 14:00:09 time: 0.3354 data_time: 0.0032 loss: 1.9355 03/11 17:00:41 - mmengine - INFO - Epoch(train) [281][ 600/1252] lr: 1.3867e-03 eta: 1 day, 13:59:34 time: 0.3138 data_time: 0.1565 loss: 1.8566 03/11 17:01:15 - mmengine - INFO - Epoch(train) [281][ 700/1252] lr: 1.3867e-03 eta: 1 day, 13:59:00 time: 0.2838 data_time: 0.0035 loss: 1.9730 03/11 17:01:49 - mmengine - INFO - Epoch(train) [281][ 800/1252] lr: 1.3867e-03 eta: 1 day, 13:58:24 time: 0.3288 data_time: 0.0034 loss: 1.9181 03/11 17:02:23 - mmengine - INFO - Epoch(train) [281][ 900/1252] lr: 1.3867e-03 eta: 1 day, 13:57:50 time: 0.2966 data_time: 0.0032 loss: 1.9032 03/11 17:02:57 - mmengine - INFO - Epoch(train) [281][1000/1252] lr: 1.3867e-03 eta: 1 day, 13:57:15 time: 0.2879 data_time: 0.0031 loss: 1.7425 03/11 17:03:30 - mmengine - INFO - Epoch(train) [281][1100/1252] lr: 1.3867e-03 eta: 1 day, 13:56:40 time: 0.2863 data_time: 0.0035 loss: 1.8982 03/11 17:04:05 - mmengine - INFO - Epoch(train) [281][1200/1252] lr: 1.3867e-03 eta: 1 day, 13:56:05 time: 0.3700 data_time: 0.0100 loss: 1.9200 03/11 17:04:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:04:22 - mmengine - INFO - Saving checkpoint at 281 epochs 03/11 17:04:46 - mmengine - INFO - Epoch(val) [281][49/49] accuracy/top1: 64.0980 accuracy/top5: 85.2800 03/11 17:05:23 - mmengine - INFO - Epoch(train) [282][ 100/1252] lr: 1.3867e-03 eta: 1 day, 13:55:15 time: 0.3520 data_time: 0.0035 loss: 1.8627 03/11 17:05:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:05:57 - mmengine - INFO - Epoch(train) [282][ 200/1252] lr: 1.3867e-03 eta: 1 day, 13:54:41 time: 0.3424 data_time: 0.0037 loss: 1.9036 03/11 17:06:31 - mmengine - INFO - Epoch(train) [282][ 300/1252] lr: 1.3867e-03 eta: 1 day, 13:54:07 time: 0.3581 data_time: 0.0034 loss: 1.8710 03/11 17:07:05 - mmengine - INFO - Epoch(train) [282][ 400/1252] lr: 1.3867e-03 eta: 1 day, 13:53:31 time: 0.3820 data_time: 0.0149 loss: 1.9167 03/11 17:07:39 - mmengine - INFO - Epoch(train) [282][ 500/1252] lr: 1.3867e-03 eta: 1 day, 13:52:57 time: 0.3562 data_time: 0.0035 loss: 1.8868 03/11 17:08:13 - mmengine - INFO - Epoch(train) [282][ 600/1252] lr: 1.3867e-03 eta: 1 day, 13:52:22 time: 0.2870 data_time: 0.0036 loss: 1.9337 03/11 17:08:47 - mmengine - INFO - Epoch(train) [282][ 700/1252] lr: 1.3867e-03 eta: 1 day, 13:51:47 time: 0.3090 data_time: 0.0030 loss: 1.9279 03/11 17:09:21 - mmengine - INFO - Epoch(train) [282][ 800/1252] lr: 1.3867e-03 eta: 1 day, 13:51:13 time: 0.3556 data_time: 0.0040 loss: 1.9122 03/11 17:09:56 - mmengine - INFO - Epoch(train) [282][ 900/1252] lr: 1.3867e-03 eta: 1 day, 13:50:39 time: 0.3554 data_time: 0.0031 loss: 1.8931 03/11 17:10:29 - mmengine - INFO - Epoch(train) [282][1000/1252] lr: 1.3867e-03 eta: 1 day, 13:50:03 time: 0.3385 data_time: 0.0422 loss: 1.9430 03/11 17:11:03 - mmengine - INFO - Epoch(train) [282][1100/1252] lr: 1.3867e-03 eta: 1 day, 13:49:29 time: 0.3019 data_time: 0.0035 loss: 1.8583 03/11 17:11:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:11:37 - mmengine - INFO - Epoch(train) [282][1200/1252] lr: 1.3867e-03 eta: 1 day, 13:48:53 time: 0.3543 data_time: 0.0034 loss: 1.9311 03/11 17:11:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:11:54 - mmengine - INFO - Saving checkpoint at 282 epochs 03/11 17:12:18 - mmengine - INFO - Epoch(val) [282][49/49] accuracy/top1: 64.3940 accuracy/top5: 85.4480 03/11 17:12:55 - mmengine - INFO - Epoch(train) [283][ 100/1252] lr: 1.3492e-03 eta: 1 day, 13:48:05 time: 0.3745 data_time: 0.0034 loss: 1.9272 03/11 17:13:29 - mmengine - INFO - Epoch(train) [283][ 200/1252] lr: 1.3492e-03 eta: 1 day, 13:47:29 time: 0.3865 data_time: 0.0789 loss: 1.9266 03/11 17:14:03 - mmengine - INFO - Epoch(train) [283][ 300/1252] lr: 1.3492e-03 eta: 1 day, 13:46:54 time: 0.3507 data_time: 0.0039 loss: 1.8079 03/11 17:14:37 - mmengine - INFO - Epoch(train) [283][ 400/1252] lr: 1.3492e-03 eta: 1 day, 13:46:19 time: 0.3302 data_time: 0.0035 loss: 1.8434 03/11 17:15:11 - mmengine - INFO - Epoch(train) [283][ 500/1252] lr: 1.3492e-03 eta: 1 day, 13:45:45 time: 0.3488 data_time: 0.1386 loss: 1.8075 03/11 17:15:45 - mmengine - INFO - Epoch(train) [283][ 600/1252] lr: 1.3492e-03 eta: 1 day, 13:45:11 time: 0.3796 data_time: 0.0038 loss: 2.0092 03/11 17:16:19 - mmengine - INFO - Epoch(train) [283][ 700/1252] lr: 1.3492e-03 eta: 1 day, 13:44:36 time: 0.3358 data_time: 0.0037 loss: 1.8607 03/11 17:16:54 - mmengine - INFO - Epoch(train) [283][ 800/1252] lr: 1.3492e-03 eta: 1 day, 13:44:03 time: 0.3726 data_time: 0.0036 loss: 1.8408 03/11 17:17:27 - mmengine - INFO - Epoch(train) [283][ 900/1252] lr: 1.3492e-03 eta: 1 day, 13:43:27 time: 0.3246 data_time: 0.0033 loss: 1.9411 03/11 17:17:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:18:02 - mmengine - INFO - Epoch(train) [283][1000/1252] lr: 1.3492e-03 eta: 1 day, 13:42:53 time: 0.3252 data_time: 0.0035 loss: 1.9299 03/11 17:18:35 - mmengine - INFO - Epoch(train) [283][1100/1252] lr: 1.3492e-03 eta: 1 day, 13:42:18 time: 0.3924 data_time: 0.0032 loss: 1.8299 03/11 17:19:09 - mmengine - INFO - Epoch(train) [283][1200/1252] lr: 1.3492e-03 eta: 1 day, 13:41:43 time: 0.3444 data_time: 0.0114 loss: 1.8259 03/11 17:19:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:19:26 - mmengine - INFO - Saving checkpoint at 283 epochs 03/11 17:19:51 - mmengine - INFO - Epoch(val) [283][49/49] accuracy/top1: 63.4540 accuracy/top5: 84.7340 03/11 17:20:28 - mmengine - INFO - Epoch(train) [284][ 100/1252] lr: 1.3492e-03 eta: 1 day, 13:40:53 time: 0.3067 data_time: 0.1026 loss: 1.9908 03/11 17:21:02 - mmengine - INFO - Epoch(train) [284][ 200/1252] lr: 1.3492e-03 eta: 1 day, 13:40:19 time: 0.3410 data_time: 0.0794 loss: 2.0346 03/11 17:21:36 - mmengine - INFO - Epoch(train) [284][ 300/1252] lr: 1.3492e-03 eta: 1 day, 13:39:45 time: 0.3529 data_time: 0.2357 loss: 1.8778 03/11 17:22:11 - mmengine - INFO - Epoch(train) [284][ 400/1252] lr: 1.3492e-03 eta: 1 day, 13:39:10 time: 0.3014 data_time: 0.0040 loss: 1.9466 03/11 17:22:44 - mmengine - INFO - Epoch(train) [284][ 500/1252] lr: 1.3492e-03 eta: 1 day, 13:38:34 time: 0.3317 data_time: 0.0030 loss: 1.9398 03/11 17:23:18 - mmengine - INFO - Epoch(train) [284][ 600/1252] lr: 1.3492e-03 eta: 1 day, 13:38:00 time: 0.3416 data_time: 0.0036 loss: 1.8112 03/11 17:23:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:23:53 - mmengine - INFO - Epoch(train) [284][ 700/1252] lr: 1.3492e-03 eta: 1 day, 13:37:26 time: 0.3690 data_time: 0.0033 loss: 1.9489 03/11 17:24:26 - mmengine - INFO - Epoch(train) [284][ 800/1252] lr: 1.3492e-03 eta: 1 day, 13:36:51 time: 0.3352 data_time: 0.1900 loss: 1.8056 03/11 17:25:00 - mmengine - INFO - Epoch(train) [284][ 900/1252] lr: 1.3492e-03 eta: 1 day, 13:36:16 time: 0.3337 data_time: 0.0039 loss: 1.9678 03/11 17:25:34 - mmengine - INFO - Epoch(train) [284][1000/1252] lr: 1.3492e-03 eta: 1 day, 13:35:41 time: 0.3451 data_time: 0.0045 loss: 1.9361 03/11 17:26:08 - mmengine - INFO - Epoch(train) [284][1100/1252] lr: 1.3492e-03 eta: 1 day, 13:35:07 time: 0.3503 data_time: 0.0039 loss: 1.8458 03/11 17:26:42 - mmengine - INFO - Epoch(train) [284][1200/1252] lr: 1.3492e-03 eta: 1 day, 13:34:32 time: 0.3427 data_time: 0.0040 loss: 1.9121 03/11 17:26:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:26:59 - mmengine - INFO - Saving checkpoint at 284 epochs 03/11 17:27:24 - mmengine - INFO - Epoch(val) [284][49/49] accuracy/top1: 63.0220 accuracy/top5: 84.6940 03/11 17:28:01 - mmengine - INFO - Epoch(train) [285][ 100/1252] lr: 1.3128e-03 eta: 1 day, 13:33:44 time: 0.3222 data_time: 0.1962 loss: 1.8570 03/11 17:28:36 - mmengine - INFO - Epoch(train) [285][ 200/1252] lr: 1.3128e-03 eta: 1 day, 13:33:09 time: 0.3748 data_time: 0.0348 loss: 1.9528 03/11 17:29:11 - mmengine - INFO - Epoch(train) [285][ 300/1252] lr: 1.3128e-03 eta: 1 day, 13:32:36 time: 0.3701 data_time: 0.0144 loss: 1.9533 03/11 17:29:44 - mmengine - INFO - Epoch(train) [285][ 400/1252] lr: 1.3128e-03 eta: 1 day, 13:32:01 time: 0.3683 data_time: 0.0160 loss: 2.0104 03/11 17:29:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:30:19 - mmengine - INFO - Epoch(train) [285][ 500/1252] lr: 1.3128e-03 eta: 1 day, 13:31:28 time: 0.3933 data_time: 0.0547 loss: 1.9747 03/11 17:30:53 - mmengine - INFO - Epoch(train) [285][ 600/1252] lr: 1.3128e-03 eta: 1 day, 13:30:52 time: 0.2979 data_time: 0.0094 loss: 1.9078 03/11 17:31:27 - mmengine - INFO - Epoch(train) [285][ 700/1252] lr: 1.3128e-03 eta: 1 day, 13:30:17 time: 0.3081 data_time: 0.0380 loss: 1.8780 03/11 17:32:01 - mmengine - INFO - Epoch(train) [285][ 800/1252] lr: 1.3128e-03 eta: 1 day, 13:29:43 time: 0.4012 data_time: 0.0964 loss: 1.7779 03/11 17:32:34 - mmengine - INFO - Epoch(train) [285][ 900/1252] lr: 1.3128e-03 eta: 1 day, 13:29:07 time: 0.3230 data_time: 0.0226 loss: 1.9471 03/11 17:33:09 - mmengine - INFO - Epoch(train) [285][1000/1252] lr: 1.3128e-03 eta: 1 day, 13:28:33 time: 0.3074 data_time: 0.0033 loss: 1.9384 03/11 17:33:42 - mmengine - INFO - Epoch(train) [285][1100/1252] lr: 1.3128e-03 eta: 1 day, 13:27:58 time: 0.3660 data_time: 0.0794 loss: 2.0403 03/11 17:34:17 - mmengine - INFO - Epoch(train) [285][1200/1252] lr: 1.3128e-03 eta: 1 day, 13:27:24 time: 0.3216 data_time: 0.0040 loss: 1.9551 03/11 17:34:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:34:34 - mmengine - INFO - Saving checkpoint at 285 epochs 03/11 17:34:59 - mmengine - INFO - Epoch(val) [285][49/49] accuracy/top1: 64.2860 accuracy/top5: 85.2880 03/11 17:35:35 - mmengine - INFO - Epoch(train) [286][ 100/1252] lr: 1.3128e-03 eta: 1 day, 13:26:34 time: 0.2948 data_time: 0.0036 loss: 1.7991 03/11 17:36:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:36:09 - mmengine - INFO - Epoch(train) [286][ 200/1252] lr: 1.3128e-03 eta: 1 day, 13:25:59 time: 0.3387 data_time: 0.0035 loss: 1.9346 03/11 17:36:43 - mmengine - INFO - Epoch(train) [286][ 300/1252] lr: 1.3128e-03 eta: 1 day, 13:25:24 time: 0.3557 data_time: 0.0038 loss: 1.9813 03/11 17:37:18 - mmengine - INFO - Epoch(train) [286][ 400/1252] lr: 1.3128e-03 eta: 1 day, 13:24:51 time: 0.3651 data_time: 0.0744 loss: 1.9357 03/11 17:37:51 - mmengine - INFO - Epoch(train) [286][ 500/1252] lr: 1.3128e-03 eta: 1 day, 13:24:15 time: 0.3213 data_time: 0.0036 loss: 1.8994 03/11 17:38:26 - mmengine - INFO - Epoch(train) [286][ 600/1252] lr: 1.3128e-03 eta: 1 day, 13:23:42 time: 0.3917 data_time: 0.0033 loss: 1.9074 03/11 17:38:59 - mmengine - INFO - Epoch(train) [286][ 700/1252] lr: 1.3128e-03 eta: 1 day, 13:23:06 time: 0.2852 data_time: 0.0043 loss: 1.8648 03/11 17:39:33 - mmengine - INFO - Epoch(train) [286][ 800/1252] lr: 1.3128e-03 eta: 1 day, 13:22:32 time: 0.3181 data_time: 0.0404 loss: 1.8674 03/11 17:40:08 - mmengine - INFO - Epoch(train) [286][ 900/1252] lr: 1.3128e-03 eta: 1 day, 13:21:57 time: 0.3433 data_time: 0.0039 loss: 1.9276 03/11 17:40:42 - mmengine - INFO - Epoch(train) [286][1000/1252] lr: 1.3128e-03 eta: 1 day, 13:21:22 time: 0.3213 data_time: 0.0514 loss: 1.9242 03/11 17:41:16 - mmengine - INFO - Epoch(train) [286][1100/1252] lr: 1.3128e-03 eta: 1 day, 13:20:49 time: 0.3536 data_time: 0.0033 loss: 1.8474 03/11 17:41:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:41:50 - mmengine - INFO - Epoch(train) [286][1200/1252] lr: 1.3128e-03 eta: 1 day, 13:20:14 time: 0.3939 data_time: 0.1308 loss: 1.8794 03/11 17:42:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:42:07 - mmengine - INFO - Saving checkpoint at 286 epochs 03/11 17:42:33 - mmengine - INFO - Epoch(val) [286][49/49] accuracy/top1: 63.7460 accuracy/top5: 85.0760 03/11 17:43:10 - mmengine - INFO - Epoch(train) [287][ 100/1252] lr: 1.2774e-03 eta: 1 day, 13:19:24 time: 0.3300 data_time: 0.0570 loss: 1.8654 03/11 17:43:44 - mmengine - INFO - Epoch(train) [287][ 200/1252] lr: 1.2774e-03 eta: 1 day, 13:18:49 time: 0.3331 data_time: 0.0499 loss: 1.8136 03/11 17:44:19 - mmengine - INFO - Epoch(train) [287][ 300/1252] lr: 1.2774e-03 eta: 1 day, 13:18:16 time: 0.3191 data_time: 0.0039 loss: 1.8977 03/11 17:44:52 - mmengine - INFO - Epoch(train) [287][ 400/1252] lr: 1.2774e-03 eta: 1 day, 13:17:40 time: 0.2717 data_time: 0.0043 loss: 1.8505 03/11 17:45:27 - mmengine - INFO - Epoch(train) [287][ 500/1252] lr: 1.2774e-03 eta: 1 day, 13:17:06 time: 0.3845 data_time: 0.2192 loss: 1.9151 03/11 17:46:01 - mmengine - INFO - Epoch(train) [287][ 600/1252] lr: 1.2774e-03 eta: 1 day, 13:16:31 time: 0.3576 data_time: 0.1253 loss: 1.9218 03/11 17:46:34 - mmengine - INFO - Epoch(train) [287][ 700/1252] lr: 1.2774e-03 eta: 1 day, 13:15:56 time: 0.3260 data_time: 0.1590 loss: 1.9262 03/11 17:47:08 - mmengine - INFO - Epoch(train) [287][ 800/1252] lr: 1.2774e-03 eta: 1 day, 13:15:21 time: 0.2992 data_time: 0.1491 loss: 1.8908 03/11 17:47:42 - mmengine - INFO - Epoch(train) [287][ 900/1252] lr: 1.2774e-03 eta: 1 day, 13:14:47 time: 0.3094 data_time: 0.0942 loss: 1.9573 03/11 17:47:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:48:17 - mmengine - INFO - Epoch(train) [287][1000/1252] lr: 1.2774e-03 eta: 1 day, 13:14:13 time: 0.3893 data_time: 0.0029 loss: 1.9333 03/11 17:48:51 - mmengine - INFO - Epoch(train) [287][1100/1252] lr: 1.2774e-03 eta: 1 day, 13:13:39 time: 0.3587 data_time: 0.0033 loss: 1.7717 03/11 17:49:24 - mmengine - INFO - Epoch(train) [287][1200/1252] lr: 1.2774e-03 eta: 1 day, 13:13:02 time: 0.3379 data_time: 0.0039 loss: 1.8230 03/11 17:49:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:49:41 - mmengine - INFO - Saving checkpoint at 287 epochs 03/11 17:50:06 - mmengine - INFO - Epoch(val) [287][49/49] accuracy/top1: 63.9460 accuracy/top5: 85.1480 03/11 17:50:43 - mmengine - INFO - Epoch(train) [288][ 100/1252] lr: 1.2774e-03 eta: 1 day, 13:12:13 time: 0.4054 data_time: 0.1108 loss: 1.9628 03/11 17:51:18 - mmengine - INFO - Epoch(train) [288][ 200/1252] lr: 1.2774e-03 eta: 1 day, 13:11:39 time: 0.3779 data_time: 0.1636 loss: 1.8698 03/11 17:51:51 - mmengine - INFO - Epoch(train) [288][ 300/1252] lr: 1.2774e-03 eta: 1 day, 13:11:03 time: 0.3169 data_time: 0.0935 loss: 1.8958 03/11 17:52:24 - mmengine - INFO - Epoch(train) [288][ 400/1252] lr: 1.2774e-03 eta: 1 day, 13:10:28 time: 0.3602 data_time: 0.1856 loss: 1.8591 03/11 17:52:59 - mmengine - INFO - Epoch(train) [288][ 500/1252] lr: 1.2774e-03 eta: 1 day, 13:09:54 time: 0.3347 data_time: 0.0033 loss: 1.8213 03/11 17:53:33 - mmengine - INFO - Epoch(train) [288][ 600/1252] lr: 1.2774e-03 eta: 1 day, 13:09:18 time: 0.2671 data_time: 0.0034 loss: 1.9525 03/11 17:53:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:54:08 - mmengine - INFO - Epoch(train) [288][ 700/1252] lr: 1.2774e-03 eta: 1 day, 13:08:45 time: 0.3510 data_time: 0.0035 loss: 1.9114 03/11 17:54:43 - mmengine - INFO - Epoch(train) [288][ 800/1252] lr: 1.2774e-03 eta: 1 day, 13:08:12 time: 0.3427 data_time: 0.0033 loss: 1.8393 03/11 17:55:16 - mmengine - INFO - Epoch(train) [288][ 900/1252] lr: 1.2774e-03 eta: 1 day, 13:07:37 time: 0.3165 data_time: 0.1962 loss: 1.8880 03/11 17:55:50 - mmengine - INFO - Epoch(train) [288][1000/1252] lr: 1.2774e-03 eta: 1 day, 13:07:02 time: 0.3284 data_time: 0.0030 loss: 1.8715 03/11 17:56:24 - mmengine - INFO - Epoch(train) [288][1100/1252] lr: 1.2774e-03 eta: 1 day, 13:06:27 time: 0.3345 data_time: 0.0147 loss: 1.8723 03/11 17:56:58 - mmengine - INFO - Epoch(train) [288][1200/1252] lr: 1.2774e-03 eta: 1 day, 13:05:52 time: 0.3222 data_time: 0.0039 loss: 1.8414 03/11 17:57:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 17:57:15 - mmengine - INFO - Saving checkpoint at 288 epochs 03/11 17:57:39 - mmengine - INFO - Epoch(val) [288][49/49] accuracy/top1: 62.9820 accuracy/top5: 84.6140 03/11 17:58:16 - mmengine - INFO - Epoch(train) [289][ 100/1252] lr: 1.2429e-03 eta: 1 day, 13:05:03 time: 0.3583 data_time: 0.0033 loss: 1.8614 03/11 17:58:50 - mmengine - INFO - Epoch(train) [289][ 200/1252] lr: 1.2429e-03 eta: 1 day, 13:04:28 time: 0.3022 data_time: 0.1594 loss: 1.9734 03/11 17:59:23 - mmengine - INFO - Epoch(train) [289][ 300/1252] lr: 1.2429e-03 eta: 1 day, 13:03:53 time: 0.2710 data_time: 0.0034 loss: 1.8477 03/11 17:59:57 - mmengine - INFO - Epoch(train) [289][ 400/1252] lr: 1.2429e-03 eta: 1 day, 13:03:18 time: 0.2952 data_time: 0.0037 loss: 1.8847 03/11 18:00:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:00:32 - mmengine - INFO - Epoch(train) [289][ 500/1252] lr: 1.2429e-03 eta: 1 day, 13:02:44 time: 0.3593 data_time: 0.2407 loss: 1.7864 03/11 18:01:06 - mmengine - INFO - Epoch(train) [289][ 600/1252] lr: 1.2429e-03 eta: 1 day, 13:02:09 time: 0.3493 data_time: 0.0041 loss: 1.8520 03/11 18:01:40 - mmengine - INFO - Epoch(train) [289][ 700/1252] lr: 1.2429e-03 eta: 1 day, 13:01:35 time: 0.3010 data_time: 0.0037 loss: 1.8611 03/11 18:02:14 - mmengine - INFO - Epoch(train) [289][ 800/1252] lr: 1.2429e-03 eta: 1 day, 13:01:00 time: 0.3267 data_time: 0.0038 loss: 1.7961 03/11 18:02:48 - mmengine - INFO - Epoch(train) [289][ 900/1252] lr: 1.2429e-03 eta: 1 day, 13:00:25 time: 0.3478 data_time: 0.2251 loss: 1.8672 03/11 18:03:21 - mmengine - INFO - Epoch(train) [289][1000/1252] lr: 1.2429e-03 eta: 1 day, 12:59:50 time: 0.3783 data_time: 0.0476 loss: 1.8968 03/11 18:03:55 - mmengine - INFO - Epoch(train) [289][1100/1252] lr: 1.2429e-03 eta: 1 day, 12:59:15 time: 0.3722 data_time: 0.0449 loss: 1.8839 03/11 18:04:29 - mmengine - INFO - Epoch(train) [289][1200/1252] lr: 1.2429e-03 eta: 1 day, 12:58:40 time: 0.3179 data_time: 0.1941 loss: 1.9026 03/11 18:04:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:04:46 - mmengine - INFO - Saving checkpoint at 289 epochs 03/11 18:05:10 - mmengine - INFO - Epoch(val) [289][49/49] accuracy/top1: 63.8140 accuracy/top5: 85.1220 03/11 18:05:46 - mmengine - INFO - Epoch(train) [290][ 100/1252] lr: 1.2429e-03 eta: 1 day, 12:57:49 time: 0.3493 data_time: 0.0255 loss: 1.7858 03/11 18:06:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:06:21 - mmengine - INFO - Epoch(train) [290][ 200/1252] lr: 1.2429e-03 eta: 1 day, 12:57:15 time: 0.3552 data_time: 0.0035 loss: 1.8577 03/11 18:06:55 - mmengine - INFO - Epoch(train) [290][ 300/1252] lr: 1.2429e-03 eta: 1 day, 12:56:41 time: 0.2895 data_time: 0.1533 loss: 1.7287 03/11 18:07:29 - mmengine - INFO - Epoch(train) [290][ 400/1252] lr: 1.2429e-03 eta: 1 day, 12:56:06 time: 0.3210 data_time: 0.0033 loss: 1.9379 03/11 18:08:03 - mmengine - INFO - Epoch(train) [290][ 500/1252] lr: 1.2429e-03 eta: 1 day, 12:55:32 time: 0.3864 data_time: 0.1203 loss: 1.9084 03/11 18:08:38 - mmengine - INFO - Epoch(train) [290][ 600/1252] lr: 1.2429e-03 eta: 1 day, 12:54:59 time: 0.3449 data_time: 0.0030 loss: 1.8818 03/11 18:09:12 - mmengine - INFO - Epoch(train) [290][ 700/1252] lr: 1.2429e-03 eta: 1 day, 12:54:23 time: 0.3528 data_time: 0.2377 loss: 1.9569 03/11 18:09:46 - mmengine - INFO - Epoch(train) [290][ 800/1252] lr: 1.2429e-03 eta: 1 day, 12:53:49 time: 0.3373 data_time: 0.0035 loss: 1.8960 03/11 18:10:19 - mmengine - INFO - Epoch(train) [290][ 900/1252] lr: 1.2429e-03 eta: 1 day, 12:53:14 time: 0.3815 data_time: 0.2344 loss: 1.9385 03/11 18:10:54 - mmengine - INFO - Epoch(train) [290][1000/1252] lr: 1.2429e-03 eta: 1 day, 12:52:40 time: 0.3072 data_time: 0.0033 loss: 1.9472 03/11 18:11:28 - mmengine - INFO - Epoch(train) [290][1100/1252] lr: 1.2429e-03 eta: 1 day, 12:52:05 time: 0.3456 data_time: 0.0035 loss: 1.9353 03/11 18:11:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:12:02 - mmengine - INFO - Epoch(train) [290][1200/1252] lr: 1.2429e-03 eta: 1 day, 12:51:31 time: 0.3672 data_time: 0.0575 loss: 1.7209 03/11 18:12:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:12:19 - mmengine - INFO - Saving checkpoint at 290 epochs 03/11 18:12:43 - mmengine - INFO - Epoch(val) [290][49/49] accuracy/top1: 62.5040 accuracy/top5: 84.0800 03/11 18:13:20 - mmengine - INFO - Epoch(train) [291][ 100/1252] lr: 1.2093e-03 eta: 1 day, 12:50:41 time: 0.3529 data_time: 0.0035 loss: 1.7656 03/11 18:13:54 - mmengine - INFO - Epoch(train) [291][ 200/1252] lr: 1.2093e-03 eta: 1 day, 12:50:06 time: 0.4043 data_time: 0.0032 loss: 1.9584 03/11 18:14:28 - mmengine - INFO - Epoch(train) [291][ 300/1252] lr: 1.2093e-03 eta: 1 day, 12:49:31 time: 0.3758 data_time: 0.2057 loss: 1.8886 03/11 18:15:02 - mmengine - INFO - Epoch(train) [291][ 400/1252] lr: 1.2093e-03 eta: 1 day, 12:48:57 time: 0.3818 data_time: 0.2680 loss: 1.9241 03/11 18:15:37 - mmengine - INFO - Epoch(train) [291][ 500/1252] lr: 1.2093e-03 eta: 1 day, 12:48:23 time: 0.3574 data_time: 0.0038 loss: 1.9101 03/11 18:16:10 - mmengine - INFO - Epoch(train) [291][ 600/1252] lr: 1.2093e-03 eta: 1 day, 12:47:47 time: 0.3326 data_time: 0.0033 loss: 1.8021 03/11 18:16:44 - mmengine - INFO - Epoch(train) [291][ 700/1252] lr: 1.2093e-03 eta: 1 day, 12:47:12 time: 0.3152 data_time: 0.0157 loss: 1.9082 03/11 18:17:17 - mmengine - INFO - Epoch(train) [291][ 800/1252] lr: 1.2093e-03 eta: 1 day, 12:46:37 time: 0.2975 data_time: 0.0756 loss: 1.8976 03/11 18:17:52 - mmengine - INFO - Epoch(train) [291][ 900/1252] lr: 1.2093e-03 eta: 1 day, 12:46:03 time: 0.3123 data_time: 0.0035 loss: 1.9879 03/11 18:18:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:18:26 - mmengine - INFO - Epoch(train) [291][1000/1252] lr: 1.2093e-03 eta: 1 day, 12:45:29 time: 0.2870 data_time: 0.0041 loss: 1.9065 03/11 18:19:01 - mmengine - INFO - Epoch(train) [291][1100/1252] lr: 1.2093e-03 eta: 1 day, 12:44:55 time: 0.3719 data_time: 0.0033 loss: 1.8726 03/11 18:19:35 - mmengine - INFO - Epoch(train) [291][1200/1252] lr: 1.2093e-03 eta: 1 day, 12:44:20 time: 0.3135 data_time: 0.0035 loss: 1.8606 03/11 18:19:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:19:52 - mmengine - INFO - Saving checkpoint at 291 epochs 03/11 18:20:16 - mmengine - INFO - Epoch(val) [291][49/49] accuracy/top1: 64.1900 accuracy/top5: 85.2160 03/11 18:20:53 - mmengine - INFO - Epoch(train) [292][ 100/1252] lr: 1.2093e-03 eta: 1 day, 12:43:30 time: 0.2926 data_time: 0.0068 loss: 1.8441 03/11 18:21:27 - mmengine - INFO - Epoch(train) [292][ 200/1252] lr: 1.2093e-03 eta: 1 day, 12:42:56 time: 0.2605 data_time: 0.0033 loss: 1.7187 03/11 18:22:01 - mmengine - INFO - Epoch(train) [292][ 300/1252] lr: 1.2093e-03 eta: 1 day, 12:42:21 time: 0.2909 data_time: 0.0709 loss: 1.8152 03/11 18:22:36 - mmengine - INFO - Epoch(train) [292][ 400/1252] lr: 1.2093e-03 eta: 1 day, 12:41:47 time: 0.3553 data_time: 0.2322 loss: 1.8500 03/11 18:23:10 - mmengine - INFO - Epoch(train) [292][ 500/1252] lr: 1.2093e-03 eta: 1 day, 12:41:13 time: 0.3720 data_time: 0.0036 loss: 1.9931 03/11 18:23:43 - mmengine - INFO - Epoch(train) [292][ 600/1252] lr: 1.2093e-03 eta: 1 day, 12:40:37 time: 0.3201 data_time: 0.0033 loss: 1.8631 03/11 18:24:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:24:17 - mmengine - INFO - Epoch(train) [292][ 700/1252] lr: 1.2093e-03 eta: 1 day, 12:40:03 time: 0.3042 data_time: 0.0073 loss: 1.9601 03/11 18:24:52 - mmengine - INFO - Epoch(train) [292][ 800/1252] lr: 1.2093e-03 eta: 1 day, 12:39:29 time: 0.3021 data_time: 0.0033 loss: 1.8262 03/11 18:25:26 - mmengine - INFO - Epoch(train) [292][ 900/1252] lr: 1.2093e-03 eta: 1 day, 12:38:54 time: 0.2863 data_time: 0.0135 loss: 1.8681 03/11 18:26:00 - mmengine - INFO - Epoch(train) [292][1000/1252] lr: 1.2093e-03 eta: 1 day, 12:38:20 time: 0.3752 data_time: 0.0033 loss: 1.9518 03/11 18:26:33 - mmengine - INFO - Epoch(train) [292][1100/1252] lr: 1.2093e-03 eta: 1 day, 12:37:44 time: 0.2894 data_time: 0.0814 loss: 1.9307 03/11 18:27:07 - mmengine - INFO - Epoch(train) [292][1200/1252] lr: 1.2093e-03 eta: 1 day, 12:37:09 time: 0.3055 data_time: 0.0035 loss: 1.8668 03/11 18:27:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:27:25 - mmengine - INFO - Saving checkpoint at 292 epochs 03/11 18:27:49 - mmengine - INFO - Epoch(val) [292][49/49] accuracy/top1: 64.2780 accuracy/top5: 85.3240 03/11 18:28:26 - mmengine - INFO - Epoch(train) [293][ 100/1252] lr: 1.1767e-03 eta: 1 day, 12:36:20 time: 0.3367 data_time: 0.1737 loss: 1.9290 03/11 18:29:00 - mmengine - INFO - Epoch(train) [293][ 200/1252] lr: 1.1767e-03 eta: 1 day, 12:35:46 time: 0.3237 data_time: 0.0037 loss: 1.8425 03/11 18:29:33 - mmengine - INFO - Epoch(train) [293][ 300/1252] lr: 1.1767e-03 eta: 1 day, 12:35:10 time: 0.3117 data_time: 0.1183 loss: 1.9380 03/11 18:30:07 - mmengine - INFO - Epoch(train) [293][ 400/1252] lr: 1.1767e-03 eta: 1 day, 12:34:36 time: 0.2830 data_time: 0.0041 loss: 1.8605 03/11 18:30:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:30:41 - mmengine - INFO - Epoch(train) [293][ 500/1252] lr: 1.1767e-03 eta: 1 day, 12:34:02 time: 0.3094 data_time: 0.0471 loss: 1.8952 03/11 18:31:16 - mmengine - INFO - Epoch(train) [293][ 600/1252] lr: 1.1767e-03 eta: 1 day, 12:33:27 time: 0.3626 data_time: 0.2331 loss: 1.9300 03/11 18:31:49 - mmengine - INFO - Epoch(train) [293][ 700/1252] lr: 1.1767e-03 eta: 1 day, 12:32:52 time: 0.3721 data_time: 0.1347 loss: 1.8809 03/11 18:32:23 - mmengine - INFO - Epoch(train) [293][ 800/1252] lr: 1.1767e-03 eta: 1 day, 12:32:17 time: 0.3182 data_time: 0.1581 loss: 1.9207 03/11 18:32:58 - mmengine - INFO - Epoch(train) [293][ 900/1252] lr: 1.1767e-03 eta: 1 day, 12:31:43 time: 0.2960 data_time: 0.0034 loss: 1.9862 03/11 18:33:32 - mmengine - INFO - Epoch(train) [293][1000/1252] lr: 1.1767e-03 eta: 1 day, 12:31:09 time: 0.3805 data_time: 0.0169 loss: 1.8548 03/11 18:34:05 - mmengine - INFO - Epoch(train) [293][1100/1252] lr: 1.1767e-03 eta: 1 day, 12:30:33 time: 0.2932 data_time: 0.0232 loss: 1.9705 03/11 18:34:40 - mmengine - INFO - Epoch(train) [293][1200/1252] lr: 1.1767e-03 eta: 1 day, 12:29:59 time: 0.3561 data_time: 0.0093 loss: 1.9499 03/11 18:34:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:34:56 - mmengine - INFO - Saving checkpoint at 293 epochs 03/11 18:35:20 - mmengine - INFO - Epoch(val) [293][49/49] accuracy/top1: 64.8760 accuracy/top5: 85.7380 03/11 18:35:57 - mmengine - INFO - Epoch(train) [294][ 100/1252] lr: 1.1767e-03 eta: 1 day, 12:29:09 time: 0.3801 data_time: 0.0032 loss: 1.8877 03/11 18:36:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:36:30 - mmengine - INFO - Epoch(train) [294][ 200/1252] lr: 1.1767e-03 eta: 1 day, 12:28:33 time: 0.3455 data_time: 0.0033 loss: 1.7826 03/11 18:37:05 - mmengine - INFO - Epoch(train) [294][ 300/1252] lr: 1.1767e-03 eta: 1 day, 12:27:59 time: 0.3516 data_time: 0.1177 loss: 1.7662 03/11 18:37:39 - mmengine - INFO - Epoch(train) [294][ 400/1252] lr: 1.1767e-03 eta: 1 day, 12:27:24 time: 0.3140 data_time: 0.1413 loss: 1.8896 03/11 18:38:13 - mmengine - INFO - Epoch(train) [294][ 500/1252] lr: 1.1767e-03 eta: 1 day, 12:26:51 time: 0.3421 data_time: 0.0034 loss: 1.8359 03/11 18:38:47 - mmengine - INFO - Epoch(train) [294][ 600/1252] lr: 1.1767e-03 eta: 1 day, 12:26:16 time: 0.3348 data_time: 0.0040 loss: 1.7855 03/11 18:39:22 - mmengine - INFO - Epoch(train) [294][ 700/1252] lr: 1.1767e-03 eta: 1 day, 12:25:42 time: 0.3807 data_time: 0.0469 loss: 1.7852 03/11 18:39:55 - mmengine - INFO - Epoch(train) [294][ 800/1252] lr: 1.1767e-03 eta: 1 day, 12:25:06 time: 0.2752 data_time: 0.0033 loss: 1.8971 03/11 18:40:29 - mmengine - INFO - Epoch(train) [294][ 900/1252] lr: 1.1767e-03 eta: 1 day, 12:24:32 time: 0.3981 data_time: 0.0926 loss: 1.8615 03/11 18:41:03 - mmengine - INFO - Epoch(train) [294][1000/1252] lr: 1.1767e-03 eta: 1 day, 12:23:57 time: 0.3697 data_time: 0.0040 loss: 1.9044 03/11 18:41:37 - mmengine - INFO - Epoch(train) [294][1100/1252] lr: 1.1767e-03 eta: 1 day, 12:23:22 time: 0.3796 data_time: 0.0125 loss: 1.8483 03/11 18:41:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:42:10 - mmengine - INFO - Epoch(train) [294][1200/1252] lr: 1.1767e-03 eta: 1 day, 12:22:47 time: 0.3753 data_time: 0.2635 loss: 2.0266 03/11 18:42:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:42:28 - mmengine - INFO - Saving checkpoint at 294 epochs 03/11 18:42:52 - mmengine - INFO - Epoch(val) [294][49/49] accuracy/top1: 63.7560 accuracy/top5: 85.0060 03/11 18:43:29 - mmengine - INFO - Epoch(train) [295][ 100/1252] lr: 1.1449e-03 eta: 1 day, 12:21:57 time: 0.3228 data_time: 0.1285 loss: 1.8318 03/11 18:44:03 - mmengine - INFO - Epoch(train) [295][ 200/1252] lr: 1.1449e-03 eta: 1 day, 12:21:23 time: 0.2904 data_time: 0.0032 loss: 1.8579 03/11 18:44:37 - mmengine - INFO - Epoch(train) [295][ 300/1252] lr: 1.1449e-03 eta: 1 day, 12:20:48 time: 0.2976 data_time: 0.0041 loss: 1.8464 03/11 18:45:11 - mmengine - INFO - Epoch(train) [295][ 400/1252] lr: 1.1449e-03 eta: 1 day, 12:20:13 time: 0.3277 data_time: 0.1875 loss: 1.8488 03/11 18:45:45 - mmengine - INFO - Epoch(train) [295][ 500/1252] lr: 1.1449e-03 eta: 1 day, 12:19:39 time: 0.3538 data_time: 0.0385 loss: 1.9578 03/11 18:46:20 - mmengine - INFO - Epoch(train) [295][ 600/1252] lr: 1.1449e-03 eta: 1 day, 12:19:05 time: 0.4206 data_time: 0.0032 loss: 1.9369 03/11 18:46:54 - mmengine - INFO - Epoch(train) [295][ 700/1252] lr: 1.1449e-03 eta: 1 day, 12:18:30 time: 0.3660 data_time: 0.0586 loss: 1.9344 03/11 18:47:28 - mmengine - INFO - Epoch(train) [295][ 800/1252] lr: 1.1449e-03 eta: 1 day, 12:17:56 time: 0.3056 data_time: 0.1776 loss: 1.9299 03/11 18:48:01 - mmengine - INFO - Epoch(train) [295][ 900/1252] lr: 1.1449e-03 eta: 1 day, 12:17:21 time: 0.3383 data_time: 0.0213 loss: 1.9184 03/11 18:48:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:48:36 - mmengine - INFO - Epoch(train) [295][1000/1252] lr: 1.1449e-03 eta: 1 day, 12:16:47 time: 0.3621 data_time: 0.0912 loss: 1.9499 03/11 18:49:10 - mmengine - INFO - Epoch(train) [295][1100/1252] lr: 1.1449e-03 eta: 1 day, 12:16:12 time: 0.3210 data_time: 0.0034 loss: 1.7972 03/11 18:49:44 - mmengine - INFO - Epoch(train) [295][1200/1252] lr: 1.1449e-03 eta: 1 day, 12:15:37 time: 0.3869 data_time: 0.2148 loss: 1.9244 03/11 18:50:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:50:01 - mmengine - INFO - Saving checkpoint at 295 epochs 03/11 18:50:26 - mmengine - INFO - Epoch(val) [295][49/49] accuracy/top1: 63.1940 accuracy/top5: 84.6320 03/11 18:51:03 - mmengine - INFO - Epoch(train) [296][ 100/1252] lr: 1.1449e-03 eta: 1 day, 12:14:48 time: 0.4085 data_time: 0.2202 loss: 1.7603 03/11 18:51:36 - mmengine - INFO - Epoch(train) [296][ 200/1252] lr: 1.1449e-03 eta: 1 day, 12:14:13 time: 0.2910 data_time: 0.0381 loss: 1.8054 03/11 18:52:10 - mmengine - INFO - Epoch(train) [296][ 300/1252] lr: 1.1449e-03 eta: 1 day, 12:13:38 time: 0.3773 data_time: 0.0039 loss: 1.9281 03/11 18:52:44 - mmengine - INFO - Epoch(train) [296][ 400/1252] lr: 1.1449e-03 eta: 1 day, 12:13:03 time: 0.2761 data_time: 0.0245 loss: 1.9406 03/11 18:53:18 - mmengine - INFO - Epoch(train) [296][ 500/1252] lr: 1.1449e-03 eta: 1 day, 12:12:28 time: 0.3002 data_time: 0.1518 loss: 1.8759 03/11 18:53:52 - mmengine - INFO - Epoch(train) [296][ 600/1252] lr: 1.1449e-03 eta: 1 day, 12:11:53 time: 0.3059 data_time: 0.0625 loss: 1.8074 03/11 18:54:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:54:26 - mmengine - INFO - Epoch(train) [296][ 700/1252] lr: 1.1449e-03 eta: 1 day, 12:11:19 time: 0.3049 data_time: 0.0036 loss: 1.8623 03/11 18:55:01 - mmengine - INFO - Epoch(train) [296][ 800/1252] lr: 1.1449e-03 eta: 1 day, 12:10:45 time: 0.4024 data_time: 0.1229 loss: 1.9824 03/11 18:55:35 - mmengine - INFO - Epoch(train) [296][ 900/1252] lr: 1.1449e-03 eta: 1 day, 12:10:11 time: 0.3635 data_time: 0.0038 loss: 2.0306 03/11 18:56:09 - mmengine - INFO - Epoch(train) [296][1000/1252] lr: 1.1449e-03 eta: 1 day, 12:09:36 time: 0.3290 data_time: 0.0041 loss: 1.8801 03/11 18:56:43 - mmengine - INFO - Epoch(train) [296][1100/1252] lr: 1.1449e-03 eta: 1 day, 12:09:01 time: 0.3490 data_time: 0.0037 loss: 1.9349 03/11 18:57:17 - mmengine - INFO - Epoch(train) [296][1200/1252] lr: 1.1449e-03 eta: 1 day, 12:08:28 time: 0.4110 data_time: 0.0035 loss: 1.8746 03/11 18:57:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 18:57:34 - mmengine - INFO - Saving checkpoint at 296 epochs 03/11 18:57:58 - mmengine - INFO - Epoch(val) [296][49/49] accuracy/top1: 64.4280 accuracy/top5: 85.5840 03/11 18:58:35 - mmengine - INFO - Epoch(train) [297][ 100/1252] lr: 1.1140e-03 eta: 1 day, 12:07:37 time: 0.3152 data_time: 0.0488 loss: 1.8891 03/11 18:59:09 - mmengine - INFO - Epoch(train) [297][ 200/1252] lr: 1.1140e-03 eta: 1 day, 12:07:02 time: 0.3403 data_time: 0.0037 loss: 1.8813 03/11 18:59:43 - mmengine - INFO - Epoch(train) [297][ 300/1252] lr: 1.1140e-03 eta: 1 day, 12:06:28 time: 0.3924 data_time: 0.0036 loss: 1.9140 03/11 19:00:17 - mmengine - INFO - Epoch(train) [297][ 400/1252] lr: 1.1140e-03 eta: 1 day, 12:05:53 time: 0.3894 data_time: 0.0042 loss: 2.0526 03/11 19:00:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:00:52 - mmengine - INFO - Epoch(train) [297][ 500/1252] lr: 1.1140e-03 eta: 1 day, 12:05:20 time: 0.3566 data_time: 0.0033 loss: 1.9702 03/11 19:01:25 - mmengine - INFO - Epoch(train) [297][ 600/1252] lr: 1.1140e-03 eta: 1 day, 12:04:44 time: 0.3247 data_time: 0.0036 loss: 1.8564 03/11 19:01:59 - mmengine - INFO - Epoch(train) [297][ 700/1252] lr: 1.1140e-03 eta: 1 day, 12:04:09 time: 0.2822 data_time: 0.1418 loss: 1.9151 03/11 19:02:34 - mmengine - INFO - Epoch(train) [297][ 800/1252] lr: 1.1140e-03 eta: 1 day, 12:03:35 time: 0.3951 data_time: 0.2762 loss: 1.8825 03/11 19:03:08 - mmengine - INFO - Epoch(train) [297][ 900/1252] lr: 1.1140e-03 eta: 1 day, 12:03:01 time: 0.3678 data_time: 0.0633 loss: 1.9793 03/11 19:03:42 - mmengine - INFO - Epoch(train) [297][1000/1252] lr: 1.1140e-03 eta: 1 day, 12:02:26 time: 0.3639 data_time: 0.0417 loss: 1.9209 03/11 19:04:16 - mmengine - INFO - Epoch(train) [297][1100/1252] lr: 1.1140e-03 eta: 1 day, 12:01:51 time: 0.3825 data_time: 0.0042 loss: 1.7703 03/11 19:04:49 - mmengine - INFO - Epoch(train) [297][1200/1252] lr: 1.1140e-03 eta: 1 day, 12:01:16 time: 0.3427 data_time: 0.0467 loss: 1.8837 03/11 19:05:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:05:07 - mmengine - INFO - Saving checkpoint at 297 epochs 03/11 19:05:32 - mmengine - INFO - Epoch(val) [297][49/49] accuracy/top1: 63.8200 accuracy/top5: 85.3300 03/11 19:06:08 - mmengine - INFO - Epoch(train) [298][ 100/1252] lr: 1.1140e-03 eta: 1 day, 12:00:26 time: 0.2950 data_time: 0.0233 loss: 1.9432 03/11 19:06:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:06:42 - mmengine - INFO - Epoch(train) [298][ 200/1252] lr: 1.1140e-03 eta: 1 day, 11:59:52 time: 0.3948 data_time: 0.0041 loss: 1.8730 03/11 19:07:16 - mmengine - INFO - Epoch(train) [298][ 300/1252] lr: 1.1140e-03 eta: 1 day, 11:59:16 time: 0.2773 data_time: 0.0134 loss: 1.8849 03/11 19:07:51 - mmengine - INFO - Epoch(train) [298][ 400/1252] lr: 1.1140e-03 eta: 1 day, 11:58:44 time: 0.3350 data_time: 0.2005 loss: 1.8382 03/11 19:08:24 - mmengine - INFO - Epoch(train) [298][ 500/1252] lr: 1.1140e-03 eta: 1 day, 11:58:07 time: 0.2994 data_time: 0.0035 loss: 1.9607 03/11 19:08:59 - mmengine - INFO - Epoch(train) [298][ 600/1252] lr: 1.1140e-03 eta: 1 day, 11:57:34 time: 0.2864 data_time: 0.0038 loss: 1.8808 03/11 19:09:33 - mmengine - INFO - Epoch(train) [298][ 700/1252] lr: 1.1140e-03 eta: 1 day, 11:56:59 time: 0.4016 data_time: 0.1449 loss: 1.8713 03/11 19:10:07 - mmengine - INFO - Epoch(train) [298][ 800/1252] lr: 1.1140e-03 eta: 1 day, 11:56:25 time: 0.3044 data_time: 0.0046 loss: 1.9785 03/11 19:10:40 - mmengine - INFO - Epoch(train) [298][ 900/1252] lr: 1.1140e-03 eta: 1 day, 11:55:50 time: 0.3586 data_time: 0.1018 loss: 1.7982 03/11 19:11:15 - mmengine - INFO - Epoch(train) [298][1000/1252] lr: 1.1140e-03 eta: 1 day, 11:55:16 time: 0.3059 data_time: 0.0033 loss: 1.8234 03/11 19:11:49 - mmengine - INFO - Epoch(train) [298][1100/1252] lr: 1.1140e-03 eta: 1 day, 11:54:41 time: 0.3425 data_time: 0.0512 loss: 1.8451 03/11 19:12:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:12:24 - mmengine - INFO - Epoch(train) [298][1200/1252] lr: 1.1140e-03 eta: 1 day, 11:54:07 time: 0.3298 data_time: 0.0045 loss: 1.8726 03/11 19:12:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:12:41 - mmengine - INFO - Saving checkpoint at 298 epochs 03/11 19:13:05 - mmengine - INFO - Epoch(val) [298][49/49] accuracy/top1: 64.2680 accuracy/top5: 85.4560 03/11 19:13:42 - mmengine - INFO - Epoch(train) [299][ 100/1252] lr: 1.0839e-03 eta: 1 day, 11:53:18 time: 0.4155 data_time: 0.0041 loss: 1.9586 03/11 19:14:16 - mmengine - INFO - Epoch(train) [299][ 200/1252] lr: 1.0839e-03 eta: 1 day, 11:52:43 time: 0.3681 data_time: 0.0040 loss: 1.8483 03/11 19:14:50 - mmengine - INFO - Epoch(train) [299][ 300/1252] lr: 1.0839e-03 eta: 1 day, 11:52:08 time: 0.3303 data_time: 0.0035 loss: 1.7682 03/11 19:15:24 - mmengine - INFO - Epoch(train) [299][ 400/1252] lr: 1.0839e-03 eta: 1 day, 11:51:33 time: 0.3067 data_time: 0.0040 loss: 1.8728 03/11 19:15:58 - mmengine - INFO - Epoch(train) [299][ 500/1252] lr: 1.0839e-03 eta: 1 day, 11:50:58 time: 0.2915 data_time: 0.0194 loss: 1.9495 03/11 19:16:32 - mmengine - INFO - Epoch(train) [299][ 600/1252] lr: 1.0839e-03 eta: 1 day, 11:50:24 time: 0.3317 data_time: 0.0039 loss: 1.8965 03/11 19:17:06 - mmengine - INFO - Epoch(train) [299][ 700/1252] lr: 1.0839e-03 eta: 1 day, 11:49:49 time: 0.3062 data_time: 0.0139 loss: 1.8971 03/11 19:17:40 - mmengine - INFO - Epoch(train) [299][ 800/1252] lr: 1.0839e-03 eta: 1 day, 11:49:14 time: 0.2833 data_time: 0.0142 loss: 1.8493 03/11 19:18:13 - mmengine - INFO - Epoch(train) [299][ 900/1252] lr: 1.0839e-03 eta: 1 day, 11:48:40 time: 0.3002 data_time: 0.0211 loss: 1.8896 03/11 19:18:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:18:48 - mmengine - INFO - Epoch(train) [299][1000/1252] lr: 1.0839e-03 eta: 1 day, 11:48:05 time: 0.3516 data_time: 0.0040 loss: 1.8827 03/11 19:19:22 - mmengine - INFO - Epoch(train) [299][1100/1252] lr: 1.0839e-03 eta: 1 day, 11:47:32 time: 0.3558 data_time: 0.0036 loss: 1.7829 03/11 19:19:56 - mmengine - INFO - Epoch(train) [299][1200/1252] lr: 1.0839e-03 eta: 1 day, 11:46:57 time: 0.3945 data_time: 0.0030 loss: 1.8542 03/11 19:20:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:20:13 - mmengine - INFO - Saving checkpoint at 299 epochs 03/11 19:20:37 - mmengine - INFO - Epoch(val) [299][49/49] accuracy/top1: 64.2060 accuracy/top5: 85.2760 03/11 19:21:13 - mmengine - INFO - Epoch(train) [300][ 100/1252] lr: 1.0839e-03 eta: 1 day, 11:46:05 time: 0.2915 data_time: 0.0157 loss: 1.8607 03/11 19:21:48 - mmengine - INFO - Epoch(train) [300][ 200/1252] lr: 1.0839e-03 eta: 1 day, 11:45:31 time: 0.3853 data_time: 0.1633 loss: 1.9118 03/11 19:22:21 - mmengine - INFO - Epoch(train) [300][ 300/1252] lr: 1.0839e-03 eta: 1 day, 11:44:56 time: 0.3286 data_time: 0.1778 loss: 1.7939 03/11 19:22:55 - mmengine - INFO - Epoch(train) [300][ 400/1252] lr: 1.0839e-03 eta: 1 day, 11:44:21 time: 0.3064 data_time: 0.0037 loss: 1.9352 03/11 19:23:29 - mmengine - INFO - Epoch(train) [300][ 500/1252] lr: 1.0839e-03 eta: 1 day, 11:43:46 time: 0.3389 data_time: 0.0783 loss: 1.8734 03/11 19:24:04 - mmengine - INFO - Epoch(train) [300][ 600/1252] lr: 1.0839e-03 eta: 1 day, 11:43:13 time: 0.3528 data_time: 0.0675 loss: 1.8295 03/11 19:24:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:24:38 - mmengine - INFO - Epoch(train) [300][ 700/1252] lr: 1.0839e-03 eta: 1 day, 11:42:38 time: 0.3000 data_time: 0.0613 loss: 1.9416 03/11 19:25:12 - mmengine - INFO - Epoch(train) [300][ 800/1252] lr: 1.0839e-03 eta: 1 day, 11:42:03 time: 0.2863 data_time: 0.0065 loss: 1.9075 03/11 19:25:45 - mmengine - INFO - Epoch(train) [300][ 900/1252] lr: 1.0839e-03 eta: 1 day, 11:41:28 time: 0.3041 data_time: 0.1709 loss: 1.8022 03/11 19:26:20 - mmengine - INFO - Epoch(train) [300][1000/1252] lr: 1.0839e-03 eta: 1 day, 11:40:55 time: 0.3577 data_time: 0.0036 loss: 1.9588 03/11 19:26:54 - mmengine - INFO - Epoch(train) [300][1100/1252] lr: 1.0839e-03 eta: 1 day, 11:40:20 time: 0.3504 data_time: 0.1566 loss: 1.8171 03/11 19:27:28 - mmengine - INFO - Epoch(train) [300][1200/1252] lr: 1.0839e-03 eta: 1 day, 11:39:45 time: 0.3777 data_time: 0.0038 loss: 1.8813 03/11 19:27:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:27:46 - mmengine - INFO - Saving checkpoint at 300 epochs 03/11 19:28:11 - mmengine - INFO - Epoch(val) [300][49/49] accuracy/top1: 63.7660 accuracy/top5: 85.0660 03/11 19:28:47 - mmengine - INFO - Epoch(train) [301][ 100/1252] lr: 1.0546e-03 eta: 1 day, 11:38:56 time: 0.3423 data_time: 0.0038 loss: 1.9773 03/11 19:29:21 - mmengine - INFO - Epoch(train) [301][ 200/1252] lr: 1.0546e-03 eta: 1 day, 11:38:21 time: 0.3242 data_time: 0.0041 loss: 1.9490 03/11 19:29:55 - mmengine - INFO - Epoch(train) [301][ 300/1252] lr: 1.0546e-03 eta: 1 day, 11:37:46 time: 0.3546 data_time: 0.2036 loss: 1.9085 03/11 19:30:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:30:29 - mmengine - INFO - Epoch(train) [301][ 400/1252] lr: 1.0546e-03 eta: 1 day, 11:37:12 time: 0.3354 data_time: 0.0434 loss: 1.8848 03/11 19:31:03 - mmengine - INFO - Epoch(train) [301][ 500/1252] lr: 1.0546e-03 eta: 1 day, 11:36:37 time: 0.3108 data_time: 0.1821 loss: 1.9313 03/11 19:31:38 - mmengine - INFO - Epoch(train) [301][ 600/1252] lr: 1.0546e-03 eta: 1 day, 11:36:04 time: 0.3465 data_time: 0.0787 loss: 1.9360 03/11 19:32:12 - mmengine - INFO - Epoch(train) [301][ 700/1252] lr: 1.0546e-03 eta: 1 day, 11:35:29 time: 0.3662 data_time: 0.0037 loss: 1.8194 03/11 19:32:45 - mmengine - INFO - Epoch(train) [301][ 800/1252] lr: 1.0546e-03 eta: 1 day, 11:34:54 time: 0.3271 data_time: 0.0036 loss: 1.9223 03/11 19:33:19 - mmengine - INFO - Epoch(train) [301][ 900/1252] lr: 1.0546e-03 eta: 1 day, 11:34:19 time: 0.3339 data_time: 0.0144 loss: 1.9083 03/11 19:33:53 - mmengine - INFO - Epoch(train) [301][1000/1252] lr: 1.0546e-03 eta: 1 day, 11:33:44 time: 0.3717 data_time: 0.0109 loss: 1.9439 03/11 19:34:27 - mmengine - INFO - Epoch(train) [301][1100/1252] lr: 1.0546e-03 eta: 1 day, 11:33:10 time: 0.3157 data_time: 0.0039 loss: 1.8587 03/11 19:35:01 - mmengine - INFO - Epoch(train) [301][1200/1252] lr: 1.0546e-03 eta: 1 day, 11:32:35 time: 0.3199 data_time: 0.0034 loss: 1.9903 03/11 19:35:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:35:18 - mmengine - INFO - Saving checkpoint at 301 epochs 03/11 19:35:44 - mmengine - INFO - Epoch(val) [301][49/49] accuracy/top1: 64.2900 accuracy/top5: 85.2680 03/11 19:36:20 - mmengine - INFO - Epoch(train) [302][ 100/1252] lr: 1.0546e-03 eta: 1 day, 11:31:45 time: 0.3016 data_time: 0.0035 loss: 1.7828 03/11 19:36:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:36:54 - mmengine - INFO - Epoch(train) [302][ 200/1252] lr: 1.0546e-03 eta: 1 day, 11:31:10 time: 0.3096 data_time: 0.0041 loss: 1.9488 03/11 19:37:28 - mmengine - INFO - Epoch(train) [302][ 300/1252] lr: 1.0546e-03 eta: 1 day, 11:30:36 time: 0.3611 data_time: 0.0070 loss: 1.7916 03/11 19:38:03 - mmengine - INFO - Epoch(train) [302][ 400/1252] lr: 1.0546e-03 eta: 1 day, 11:30:02 time: 0.3544 data_time: 0.0033 loss: 1.9358 03/11 19:38:37 - mmengine - INFO - Epoch(train) [302][ 500/1252] lr: 1.0546e-03 eta: 1 day, 11:29:28 time: 0.3841 data_time: 0.0040 loss: 1.8206 03/11 19:39:11 - mmengine - INFO - Epoch(train) [302][ 600/1252] lr: 1.0546e-03 eta: 1 day, 11:28:52 time: 0.3466 data_time: 0.0775 loss: 1.8601 03/11 19:39:45 - mmengine - INFO - Epoch(train) [302][ 700/1252] lr: 1.0546e-03 eta: 1 day, 11:28:18 time: 0.3484 data_time: 0.0038 loss: 1.8033 03/11 19:40:18 - mmengine - INFO - Epoch(train) [302][ 800/1252] lr: 1.0546e-03 eta: 1 day, 11:27:42 time: 0.3288 data_time: 0.1287 loss: 1.8881 03/11 19:40:52 - mmengine - INFO - Epoch(train) [302][ 900/1252] lr: 1.0546e-03 eta: 1 day, 11:27:09 time: 0.3526 data_time: 0.0034 loss: 1.7996 03/11 19:41:26 - mmengine - INFO - Epoch(train) [302][1000/1252] lr: 1.0546e-03 eta: 1 day, 11:26:34 time: 0.3542 data_time: 0.0035 loss: 1.9673 03/11 19:41:59 - mmengine - INFO - Epoch(train) [302][1100/1252] lr: 1.0546e-03 eta: 1 day, 11:25:58 time: 0.2932 data_time: 0.0037 loss: 1.9019 03/11 19:42:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:42:34 - mmengine - INFO - Epoch(train) [302][1200/1252] lr: 1.0546e-03 eta: 1 day, 11:25:24 time: 0.3204 data_time: 0.0038 loss: 1.7415 03/11 19:42:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:42:51 - mmengine - INFO - Saving checkpoint at 302 epochs 03/11 19:43:16 - mmengine - INFO - Epoch(val) [302][49/49] accuracy/top1: 63.8680 accuracy/top5: 85.0800 03/11 19:43:52 - mmengine - INFO - Epoch(train) [303][ 100/1252] lr: 1.0262e-03 eta: 1 day, 11:24:33 time: 0.2992 data_time: 0.0278 loss: 1.9355 03/11 19:44:26 - mmengine - INFO - Epoch(train) [303][ 200/1252] lr: 1.0262e-03 eta: 1 day, 11:23:59 time: 0.2765 data_time: 0.0031 loss: 1.8411 03/11 19:45:01 - mmengine - INFO - Epoch(train) [303][ 300/1252] lr: 1.0262e-03 eta: 1 day, 11:23:25 time: 0.3012 data_time: 0.0041 loss: 1.8172 03/11 19:45:35 - mmengine - INFO - Epoch(train) [303][ 400/1252] lr: 1.0262e-03 eta: 1 day, 11:22:50 time: 0.3742 data_time: 0.2065 loss: 1.8102 03/11 19:46:09 - mmengine - INFO - Epoch(train) [303][ 500/1252] lr: 1.0262e-03 eta: 1 day, 11:22:16 time: 0.3445 data_time: 0.0329 loss: 1.9023 03/11 19:46:42 - mmengine - INFO - Epoch(train) [303][ 600/1252] lr: 1.0262e-03 eta: 1 day, 11:21:40 time: 0.2661 data_time: 0.0035 loss: 1.8539 03/11 19:47:17 - mmengine - INFO - Epoch(train) [303][ 700/1252] lr: 1.0262e-03 eta: 1 day, 11:21:06 time: 0.3650 data_time: 0.0486 loss: 1.8394 03/11 19:47:50 - mmengine - INFO - Epoch(train) [303][ 800/1252] lr: 1.0262e-03 eta: 1 day, 11:20:31 time: 0.3527 data_time: 0.0768 loss: 1.8627 03/11 19:48:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:48:24 - mmengine - INFO - Epoch(train) [303][ 900/1252] lr: 1.0262e-03 eta: 1 day, 11:19:57 time: 0.3086 data_time: 0.1118 loss: 1.8614 03/11 19:48:59 - mmengine - INFO - Epoch(train) [303][1000/1252] lr: 1.0262e-03 eta: 1 day, 11:19:23 time: 0.3441 data_time: 0.0036 loss: 1.7926 03/11 19:49:33 - mmengine - INFO - Epoch(train) [303][1100/1252] lr: 1.0262e-03 eta: 1 day, 11:18:48 time: 0.3197 data_time: 0.0618 loss: 1.8588 03/11 19:50:07 - mmengine - INFO - Epoch(train) [303][1200/1252] lr: 1.0262e-03 eta: 1 day, 11:18:13 time: 0.3483 data_time: 0.0288 loss: 1.8818 03/11 19:50:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:50:24 - mmengine - INFO - Saving checkpoint at 303 epochs 03/11 19:50:48 - mmengine - INFO - Epoch(val) [303][49/49] accuracy/top1: 63.9020 accuracy/top5: 85.0620 03/11 19:51:25 - mmengine - INFO - Epoch(train) [304][ 100/1252] lr: 1.0262e-03 eta: 1 day, 11:17:24 time: 0.3660 data_time: 0.0708 loss: 1.9882 03/11 19:51:59 - mmengine - INFO - Epoch(train) [304][ 200/1252] lr: 1.0262e-03 eta: 1 day, 11:16:49 time: 0.3163 data_time: 0.0036 loss: 1.9058 03/11 19:52:33 - mmengine - INFO - Epoch(train) [304][ 300/1252] lr: 1.0262e-03 eta: 1 day, 11:16:15 time: 0.3213 data_time: 0.0035 loss: 1.9799 03/11 19:53:07 - mmengine - INFO - Epoch(train) [304][ 400/1252] lr: 1.0262e-03 eta: 1 day, 11:15:40 time: 0.3512 data_time: 0.0745 loss: 1.9662 03/11 19:53:41 - mmengine - INFO - Epoch(train) [304][ 500/1252] lr: 1.0262e-03 eta: 1 day, 11:15:06 time: 0.3398 data_time: 0.0037 loss: 1.9682 03/11 19:54:15 - mmengine - INFO - Epoch(train) [304][ 600/1252] lr: 1.0262e-03 eta: 1 day, 11:14:31 time: 0.3377 data_time: 0.0037 loss: 1.9733 03/11 19:54:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:54:50 - mmengine - INFO - Epoch(train) [304][ 700/1252] lr: 1.0262e-03 eta: 1 day, 11:13:58 time: 0.3884 data_time: 0.0038 loss: 1.8960 03/11 19:55:23 - mmengine - INFO - Epoch(train) [304][ 800/1252] lr: 1.0262e-03 eta: 1 day, 11:13:22 time: 0.3289 data_time: 0.0045 loss: 1.9129 03/11 19:55:57 - mmengine - INFO - Epoch(train) [304][ 900/1252] lr: 1.0262e-03 eta: 1 day, 11:12:47 time: 0.3312 data_time: 0.2048 loss: 1.8569 03/11 19:56:31 - mmengine - INFO - Epoch(train) [304][1000/1252] lr: 1.0262e-03 eta: 1 day, 11:12:12 time: 0.3117 data_time: 0.0037 loss: 1.8201 03/11 19:57:05 - mmengine - INFO - Epoch(train) [304][1100/1252] lr: 1.0262e-03 eta: 1 day, 11:11:38 time: 0.3153 data_time: 0.0034 loss: 1.8380 03/11 19:57:39 - mmengine - INFO - Epoch(train) [304][1200/1252] lr: 1.0262e-03 eta: 1 day, 11:11:03 time: 0.3681 data_time: 0.0035 loss: 1.9289 03/11 19:57:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 19:57:56 - mmengine - INFO - Saving checkpoint at 304 epochs 03/11 19:58:21 - mmengine - INFO - Epoch(val) [304][49/49] accuracy/top1: 63.4920 accuracy/top5: 84.5920 03/11 19:58:58 - mmengine - INFO - Epoch(train) [305][ 100/1252] lr: 9.9846e-04 eta: 1 day, 11:10:13 time: 0.3227 data_time: 0.1056 loss: 1.8832 03/11 19:59:32 - mmengine - INFO - Epoch(train) [305][ 200/1252] lr: 9.9846e-04 eta: 1 day, 11:09:39 time: 0.3377 data_time: 0.0033 loss: 1.8461 03/11 20:00:07 - mmengine - INFO - Epoch(train) [305][ 300/1252] lr: 9.9846e-04 eta: 1 day, 11:09:05 time: 0.4212 data_time: 0.0479 loss: 1.9056 03/11 20:00:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:00:41 - mmengine - INFO - Epoch(train) [305][ 400/1252] lr: 9.9846e-04 eta: 1 day, 11:08:31 time: 0.2832 data_time: 0.0040 loss: 1.8656 03/11 20:01:15 - mmengine - INFO - Epoch(train) [305][ 500/1252] lr: 9.9846e-04 eta: 1 day, 11:07:55 time: 0.3202 data_time: 0.0036 loss: 1.9517 03/11 20:01:49 - mmengine - INFO - Epoch(train) [305][ 600/1252] lr: 9.9846e-04 eta: 1 day, 11:07:21 time: 0.3111 data_time: 0.0268 loss: 1.9395 03/11 20:02:23 - mmengine - INFO - Epoch(train) [305][ 700/1252] lr: 9.9846e-04 eta: 1 day, 11:06:47 time: 0.3174 data_time: 0.0206 loss: 1.9239 03/11 20:02:58 - mmengine - INFO - Epoch(train) [305][ 800/1252] lr: 9.9846e-04 eta: 1 day, 11:06:13 time: 0.4030 data_time: 0.2845 loss: 1.8396 03/11 20:03:32 - mmengine - INFO - Epoch(train) [305][ 900/1252] lr: 9.9846e-04 eta: 1 day, 11:05:38 time: 0.3177 data_time: 0.0350 loss: 1.8616 03/11 20:04:06 - mmengine - INFO - Epoch(train) [305][1000/1252] lr: 9.9846e-04 eta: 1 day, 11:05:04 time: 0.3819 data_time: 0.0035 loss: 1.8882 03/11 20:04:40 - mmengine - INFO - Epoch(train) [305][1100/1252] lr: 9.9846e-04 eta: 1 day, 11:04:29 time: 0.3413 data_time: 0.0113 loss: 1.7939 03/11 20:05:14 - mmengine - INFO - Epoch(train) [305][1200/1252] lr: 9.9846e-04 eta: 1 day, 11:03:56 time: 0.3931 data_time: 0.0032 loss: 2.0043 03/11 20:05:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:05:30 - mmengine - INFO - Saving checkpoint at 305 epochs 03/11 20:05:55 - mmengine - INFO - Epoch(val) [305][49/49] accuracy/top1: 63.6320 accuracy/top5: 84.8440 03/11 20:06:32 - mmengine - INFO - Epoch(train) [306][ 100/1252] lr: 9.9846e-04 eta: 1 day, 11:03:04 time: 0.3246 data_time: 0.0037 loss: 1.8664 03/11 20:06:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:07:06 - mmengine - INFO - Epoch(train) [306][ 200/1252] lr: 9.9846e-04 eta: 1 day, 11:02:30 time: 0.3607 data_time: 0.0036 loss: 1.8681 03/11 20:07:40 - mmengine - INFO - Epoch(train) [306][ 300/1252] lr: 9.9846e-04 eta: 1 day, 11:01:55 time: 0.2893 data_time: 0.0036 loss: 1.8049 03/11 20:08:14 - mmengine - INFO - Epoch(train) [306][ 400/1252] lr: 9.9846e-04 eta: 1 day, 11:01:21 time: 0.3134 data_time: 0.0034 loss: 1.8003 03/11 20:08:49 - mmengine - INFO - Epoch(train) [306][ 500/1252] lr: 9.9846e-04 eta: 1 day, 11:00:47 time: 0.3521 data_time: 0.0034 loss: 1.8697 03/11 20:09:23 - mmengine - INFO - Epoch(train) [306][ 600/1252] lr: 9.9846e-04 eta: 1 day, 11:00:12 time: 0.3280 data_time: 0.0040 loss: 1.7870 03/11 20:09:57 - mmengine - INFO - Epoch(train) [306][ 700/1252] lr: 9.9846e-04 eta: 1 day, 10:59:38 time: 0.3081 data_time: 0.0051 loss: 1.8889 03/11 20:10:31 - mmengine - INFO - Epoch(train) [306][ 800/1252] lr: 9.9846e-04 eta: 1 day, 10:59:03 time: 0.3031 data_time: 0.1578 loss: 1.8638 03/11 20:11:05 - mmengine - INFO - Epoch(train) [306][ 900/1252] lr: 9.9846e-04 eta: 1 day, 10:58:29 time: 0.3765 data_time: 0.0038 loss: 1.8445 03/11 20:11:39 - mmengine - INFO - Epoch(train) [306][1000/1252] lr: 9.9846e-04 eta: 1 day, 10:57:54 time: 0.3121 data_time: 0.0036 loss: 1.9087 03/11 20:12:13 - mmengine - INFO - Epoch(train) [306][1100/1252] lr: 9.9846e-04 eta: 1 day, 10:57:19 time: 0.3279 data_time: 0.0041 loss: 2.0099 03/11 20:12:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:12:47 - mmengine - INFO - Epoch(train) [306][1200/1252] lr: 9.9846e-04 eta: 1 day, 10:56:45 time: 0.3245 data_time: 0.0034 loss: 1.8035 03/11 20:13:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:13:04 - mmengine - INFO - Saving checkpoint at 306 epochs 03/11 20:13:28 - mmengine - INFO - Epoch(val) [306][49/49] accuracy/top1: 64.9560 accuracy/top5: 86.0020 03/11 20:14:06 - mmengine - INFO - Epoch(train) [307][ 100/1252] lr: 9.7150e-04 eta: 1 day, 10:55:55 time: 0.4176 data_time: 0.1284 loss: 1.8300 03/11 20:14:39 - mmengine - INFO - Epoch(train) [307][ 200/1252] lr: 9.7150e-04 eta: 1 day, 10:55:20 time: 0.3046 data_time: 0.0037 loss: 1.8874 03/11 20:15:14 - mmengine - INFO - Epoch(train) [307][ 300/1252] lr: 9.7150e-04 eta: 1 day, 10:54:47 time: 0.3539 data_time: 0.0042 loss: 1.8102 03/11 20:15:48 - mmengine - INFO - Epoch(train) [307][ 400/1252] lr: 9.7150e-04 eta: 1 day, 10:54:12 time: 0.3300 data_time: 0.0036 loss: 1.9494 03/11 20:16:22 - mmengine - INFO - Epoch(train) [307][ 500/1252] lr: 9.7150e-04 eta: 1 day, 10:53:37 time: 0.3327 data_time: 0.0034 loss: 1.9041 03/11 20:16:56 - mmengine - INFO - Epoch(train) [307][ 600/1252] lr: 9.7150e-04 eta: 1 day, 10:53:03 time: 0.3377 data_time: 0.0035 loss: 1.8375 03/11 20:17:30 - mmengine - INFO - Epoch(train) [307][ 700/1252] lr: 9.7150e-04 eta: 1 day, 10:52:28 time: 0.3545 data_time: 0.2041 loss: 1.8764 03/11 20:18:04 - mmengine - INFO - Epoch(train) [307][ 800/1252] lr: 9.7150e-04 eta: 1 day, 10:51:54 time: 0.3299 data_time: 0.0912 loss: 1.8513 03/11 20:18:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:18:37 - mmengine - INFO - Epoch(train) [307][ 900/1252] lr: 9.7150e-04 eta: 1 day, 10:51:18 time: 0.2986 data_time: 0.0039 loss: 1.8244 03/11 20:19:11 - mmengine - INFO - Epoch(train) [307][1000/1252] lr: 9.7150e-04 eta: 1 day, 10:50:44 time: 0.3228 data_time: 0.0038 loss: 1.8636 03/11 20:19:46 - mmengine - INFO - Epoch(train) [307][1100/1252] lr: 9.7150e-04 eta: 1 day, 10:50:10 time: 0.4010 data_time: 0.1839 loss: 2.1054 03/11 20:20:20 - mmengine - INFO - Epoch(train) [307][1200/1252] lr: 9.7150e-04 eta: 1 day, 10:49:36 time: 0.3514 data_time: 0.0035 loss: 1.8320 03/11 20:20:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:20:38 - mmengine - INFO - Saving checkpoint at 307 epochs 03/11 20:21:02 - mmengine - INFO - Epoch(val) [307][49/49] accuracy/top1: 64.7980 accuracy/top5: 85.6960 03/11 20:21:40 - mmengine - INFO - Epoch(train) [308][ 100/1252] lr: 9.7150e-04 eta: 1 day, 10:48:48 time: 0.4404 data_time: 0.0423 loss: 1.9655 03/11 20:22:13 - mmengine - INFO - Epoch(train) [308][ 200/1252] lr: 9.7150e-04 eta: 1 day, 10:48:12 time: 0.2937 data_time: 0.0034 loss: 1.7591 03/11 20:22:48 - mmengine - INFO - Epoch(train) [308][ 300/1252] lr: 9.7150e-04 eta: 1 day, 10:47:37 time: 0.3485 data_time: 0.0036 loss: 1.9150 03/11 20:23:21 - mmengine - INFO - Epoch(train) [308][ 400/1252] lr: 9.7150e-04 eta: 1 day, 10:47:02 time: 0.3437 data_time: 0.0039 loss: 1.7953 03/11 20:23:56 - mmengine - INFO - Epoch(train) [308][ 500/1252] lr: 9.7150e-04 eta: 1 day, 10:46:28 time: 0.3665 data_time: 0.0042 loss: 1.9769 03/11 20:24:29 - mmengine - INFO - Epoch(train) [308][ 600/1252] lr: 9.7150e-04 eta: 1 day, 10:45:53 time: 0.2921 data_time: 0.0037 loss: 1.8430 03/11 20:24:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:25:03 - mmengine - INFO - Epoch(train) [308][ 700/1252] lr: 9.7150e-04 eta: 1 day, 10:45:19 time: 0.3229 data_time: 0.0037 loss: 1.9367 03/11 20:25:38 - mmengine - INFO - Epoch(train) [308][ 800/1252] lr: 9.7150e-04 eta: 1 day, 10:44:45 time: 0.3502 data_time: 0.1915 loss: 1.8656 03/11 20:26:12 - mmengine - INFO - Epoch(train) [308][ 900/1252] lr: 9.7150e-04 eta: 1 day, 10:44:10 time: 0.2862 data_time: 0.0541 loss: 1.8150 03/11 20:26:45 - mmengine - INFO - Epoch(train) [308][1000/1252] lr: 9.7150e-04 eta: 1 day, 10:43:35 time: 0.2825 data_time: 0.0036 loss: 1.8731 03/11 20:27:20 - mmengine - INFO - Epoch(train) [308][1100/1252] lr: 9.7150e-04 eta: 1 day, 10:43:02 time: 0.3448 data_time: 0.0123 loss: 1.8836 03/11 20:27:53 - mmengine - INFO - Epoch(train) [308][1200/1252] lr: 9.7150e-04 eta: 1 day, 10:42:26 time: 0.2885 data_time: 0.0043 loss: 1.8748 03/11 20:28:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:28:11 - mmengine - INFO - Saving checkpoint at 308 epochs 03/11 20:28:36 - mmengine - INFO - Epoch(val) [308][49/49] accuracy/top1: 64.4760 accuracy/top5: 85.5500 03/11 20:29:12 - mmengine - INFO - Epoch(train) [309][ 100/1252] lr: 9.4527e-04 eta: 1 day, 10:41:36 time: 0.3270 data_time: 0.0040 loss: 1.8909 03/11 20:29:47 - mmengine - INFO - Epoch(train) [309][ 200/1252] lr: 9.4527e-04 eta: 1 day, 10:41:02 time: 0.3387 data_time: 0.0036 loss: 1.8966 03/11 20:30:22 - mmengine - INFO - Epoch(train) [309][ 300/1252] lr: 9.4527e-04 eta: 1 day, 10:40:28 time: 0.3809 data_time: 0.0530 loss: 1.8474 03/11 20:30:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:30:55 - mmengine - INFO - Epoch(train) [309][ 400/1252] lr: 9.4527e-04 eta: 1 day, 10:39:53 time: 0.3490 data_time: 0.0032 loss: 1.8536 03/11 20:31:29 - mmengine - INFO - Epoch(train) [309][ 500/1252] lr: 9.4527e-04 eta: 1 day, 10:39:18 time: 0.3327 data_time: 0.0036 loss: 1.9108 03/11 20:32:03 - mmengine - INFO - Epoch(train) [309][ 600/1252] lr: 9.4527e-04 eta: 1 day, 10:38:44 time: 0.3398 data_time: 0.1042 loss: 1.7911 03/11 20:32:37 - mmengine - INFO - Epoch(train) [309][ 700/1252] lr: 9.4527e-04 eta: 1 day, 10:38:09 time: 0.2826 data_time: 0.0036 loss: 1.7604 03/11 20:33:11 - mmengine - INFO - Epoch(train) [309][ 800/1252] lr: 9.4527e-04 eta: 1 day, 10:37:35 time: 0.3296 data_time: 0.0085 loss: 1.8330 03/11 20:33:45 - mmengine - INFO - Epoch(train) [309][ 900/1252] lr: 9.4527e-04 eta: 1 day, 10:37:00 time: 0.3356 data_time: 0.0692 loss: 1.8114 03/11 20:34:19 - mmengine - INFO - Epoch(train) [309][1000/1252] lr: 9.4527e-04 eta: 1 day, 10:36:25 time: 0.3230 data_time: 0.0565 loss: 1.8312 03/11 20:34:53 - mmengine - INFO - Epoch(train) [309][1100/1252] lr: 9.4527e-04 eta: 1 day, 10:35:51 time: 0.4188 data_time: 0.0425 loss: 1.8159 03/11 20:35:27 - mmengine - INFO - Epoch(train) [309][1200/1252] lr: 9.4527e-04 eta: 1 day, 10:35:16 time: 0.3384 data_time: 0.0908 loss: 1.8897 03/11 20:35:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:35:45 - mmengine - INFO - Saving checkpoint at 309 epochs 03/11 20:36:09 - mmengine - INFO - Epoch(val) [309][49/49] accuracy/top1: 64.6220 accuracy/top5: 85.5820 03/11 20:36:46 - mmengine - INFO - Epoch(train) [310][ 100/1252] lr: 9.4527e-04 eta: 1 day, 10:34:28 time: 0.3567 data_time: 0.0314 loss: 1.8645 03/11 20:36:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:37:20 - mmengine - INFO - Epoch(train) [310][ 200/1252] lr: 9.4527e-04 eta: 1 day, 10:33:53 time: 0.3398 data_time: 0.0041 loss: 1.7733 03/11 20:37:54 - mmengine - INFO - Epoch(train) [310][ 300/1252] lr: 9.4527e-04 eta: 1 day, 10:33:18 time: 0.3201 data_time: 0.0071 loss: 1.8329 03/11 20:38:28 - mmengine - INFO - Epoch(train) [310][ 400/1252] lr: 9.4527e-04 eta: 1 day, 10:32:44 time: 0.4270 data_time: 0.2105 loss: 1.9195 03/11 20:39:02 - mmengine - INFO - Epoch(train) [310][ 500/1252] lr: 9.4527e-04 eta: 1 day, 10:32:10 time: 0.3635 data_time: 0.0775 loss: 1.8015 03/11 20:39:37 - mmengine - INFO - Epoch(train) [310][ 600/1252] lr: 9.4527e-04 eta: 1 day, 10:31:35 time: 0.3793 data_time: 0.1738 loss: 1.7926 03/11 20:40:10 - mmengine - INFO - Epoch(train) [310][ 700/1252] lr: 9.4527e-04 eta: 1 day, 10:31:00 time: 0.3289 data_time: 0.0627 loss: 1.9967 03/11 20:40:44 - mmengine - INFO - Epoch(train) [310][ 800/1252] lr: 9.4527e-04 eta: 1 day, 10:30:25 time: 0.2959 data_time: 0.0045 loss: 1.8920 03/11 20:41:18 - mmengine - INFO - Epoch(train) [310][ 900/1252] lr: 9.4527e-04 eta: 1 day, 10:29:51 time: 0.3569 data_time: 0.0048 loss: 1.8758 03/11 20:41:51 - mmengine - INFO - Epoch(train) [310][1000/1252] lr: 9.4527e-04 eta: 1 day, 10:29:16 time: 0.3239 data_time: 0.0048 loss: 1.9478 03/11 20:42:26 - mmengine - INFO - Epoch(train) [310][1100/1252] lr: 9.4527e-04 eta: 1 day, 10:28:42 time: 0.3342 data_time: 0.1136 loss: 1.8540 03/11 20:42:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:43:01 - mmengine - INFO - Epoch(train) [310][1200/1252] lr: 9.4527e-04 eta: 1 day, 10:28:08 time: 0.4225 data_time: 0.0040 loss: 1.8302 03/11 20:43:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:43:18 - mmengine - INFO - Saving checkpoint at 310 epochs 03/11 20:43:43 - mmengine - INFO - Epoch(val) [310][49/49] accuracy/top1: 64.7140 accuracy/top5: 85.6140 03/11 20:44:19 - mmengine - INFO - Epoch(train) [311][ 100/1252] lr: 9.1975e-04 eta: 1 day, 10:27:16 time: 0.3391 data_time: 0.1006 loss: 1.7989 03/11 20:44:54 - mmengine - INFO - Epoch(train) [311][ 200/1252] lr: 9.1975e-04 eta: 1 day, 10:26:43 time: 0.2707 data_time: 0.0215 loss: 1.9244 03/11 20:45:29 - mmengine - INFO - Epoch(train) [311][ 300/1252] lr: 9.1975e-04 eta: 1 day, 10:26:09 time: 0.3297 data_time: 0.0038 loss: 1.8551 03/11 20:46:02 - mmengine - INFO - Epoch(train) [311][ 400/1252] lr: 9.1975e-04 eta: 1 day, 10:25:34 time: 0.2965 data_time: 0.0036 loss: 1.8250 03/11 20:46:36 - mmengine - INFO - Epoch(train) [311][ 500/1252] lr: 9.1975e-04 eta: 1 day, 10:24:59 time: 0.3165 data_time: 0.0908 loss: 1.8392 03/11 20:47:11 - mmengine - INFO - Epoch(train) [311][ 600/1252] lr: 9.1975e-04 eta: 1 day, 10:24:26 time: 0.3543 data_time: 0.0034 loss: 1.9256 03/11 20:47:44 - mmengine - INFO - Epoch(train) [311][ 700/1252] lr: 9.1975e-04 eta: 1 day, 10:23:50 time: 0.3063 data_time: 0.0033 loss: 1.8762 03/11 20:48:18 - mmengine - INFO - Epoch(train) [311][ 800/1252] lr: 9.1975e-04 eta: 1 day, 10:23:15 time: 0.3196 data_time: 0.0034 loss: 1.8234 03/11 20:48:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:48:52 - mmengine - INFO - Epoch(train) [311][ 900/1252] lr: 9.1975e-04 eta: 1 day, 10:22:41 time: 0.2894 data_time: 0.0035 loss: 1.8545 03/11 20:49:26 - mmengine - INFO - Epoch(train) [311][1000/1252] lr: 9.1975e-04 eta: 1 day, 10:22:07 time: 0.3111 data_time: 0.0034 loss: 1.8573 03/11 20:50:00 - mmengine - INFO - Epoch(train) [311][1100/1252] lr: 9.1975e-04 eta: 1 day, 10:21:32 time: 0.3210 data_time: 0.0037 loss: 1.8579 03/11 20:50:34 - mmengine - INFO - Epoch(train) [311][1200/1252] lr: 9.1975e-04 eta: 1 day, 10:20:58 time: 0.3979 data_time: 0.0034 loss: 1.9142 03/11 20:50:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:50:51 - mmengine - INFO - Saving checkpoint at 311 epochs 03/11 20:51:16 - mmengine - INFO - Epoch(val) [311][49/49] accuracy/top1: 64.8020 accuracy/top5: 85.5440 03/11 20:51:52 - mmengine - INFO - Epoch(train) [312][ 100/1252] lr: 9.1975e-04 eta: 1 day, 10:20:07 time: 0.3127 data_time: 0.1183 loss: 1.8025 03/11 20:52:26 - mmengine - INFO - Epoch(train) [312][ 200/1252] lr: 9.1975e-04 eta: 1 day, 10:19:32 time: 0.2983 data_time: 0.0039 loss: 1.8337 03/11 20:53:00 - mmengine - INFO - Epoch(train) [312][ 300/1252] lr: 9.1975e-04 eta: 1 day, 10:18:58 time: 0.3319 data_time: 0.0040 loss: 1.8328 03/11 20:53:34 - mmengine - INFO - Epoch(train) [312][ 400/1252] lr: 9.1975e-04 eta: 1 day, 10:18:22 time: 0.3807 data_time: 0.0038 loss: 1.8898 03/11 20:54:07 - mmengine - INFO - Epoch(train) [312][ 500/1252] lr: 9.1975e-04 eta: 1 day, 10:17:47 time: 0.3188 data_time: 0.1777 loss: 1.8884 03/11 20:54:42 - mmengine - INFO - Epoch(train) [312][ 600/1252] lr: 9.1975e-04 eta: 1 day, 10:17:14 time: 0.3816 data_time: 0.0283 loss: 2.0214 03/11 20:54:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:55:16 - mmengine - INFO - Epoch(train) [312][ 700/1252] lr: 9.1975e-04 eta: 1 day, 10:16:39 time: 0.3512 data_time: 0.1654 loss: 1.8054 03/11 20:55:50 - mmengine - INFO - Epoch(train) [312][ 800/1252] lr: 9.1975e-04 eta: 1 day, 10:16:04 time: 0.3392 data_time: 0.0040 loss: 1.8022 03/11 20:56:25 - mmengine - INFO - Epoch(train) [312][ 900/1252] lr: 9.1975e-04 eta: 1 day, 10:15:31 time: 0.4105 data_time: 0.0036 loss: 1.9305 03/11 20:56:58 - mmengine - INFO - Epoch(train) [312][1000/1252] lr: 9.1975e-04 eta: 1 day, 10:14:55 time: 0.3103 data_time: 0.0035 loss: 1.8755 03/11 20:57:32 - mmengine - INFO - Epoch(train) [312][1100/1252] lr: 9.1975e-04 eta: 1 day, 10:14:21 time: 0.4028 data_time: 0.0129 loss: 1.8256 03/11 20:58:07 - mmengine - INFO - Epoch(train) [312][1200/1252] lr: 9.1975e-04 eta: 1 day, 10:13:47 time: 0.3313 data_time: 0.0035 loss: 1.9582 03/11 20:58:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 20:58:24 - mmengine - INFO - Saving checkpoint at 312 epochs 03/11 20:58:49 - mmengine - INFO - Epoch(val) [312][49/49] accuracy/top1: 64.9820 accuracy/top5: 85.8340 03/11 20:59:26 - mmengine - INFO - Epoch(train) [313][ 100/1252] lr: 8.9492e-04 eta: 1 day, 10:12:56 time: 0.3756 data_time: 0.1434 loss: 1.9334 03/11 20:59:59 - mmengine - INFO - Epoch(train) [313][ 200/1252] lr: 8.9492e-04 eta: 1 day, 10:12:21 time: 0.3092 data_time: 0.0036 loss: 1.8564 03/11 21:00:34 - mmengine - INFO - Epoch(train) [313][ 300/1252] lr: 8.9492e-04 eta: 1 day, 10:11:47 time: 0.3352 data_time: 0.0036 loss: 1.8189 03/11 21:01:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:01:07 - mmengine - INFO - Epoch(train) [313][ 400/1252] lr: 8.9492e-04 eta: 1 day, 10:11:12 time: 0.2909 data_time: 0.0036 loss: 1.9238 03/11 21:01:42 - mmengine - INFO - Epoch(train) [313][ 500/1252] lr: 8.9492e-04 eta: 1 day, 10:10:38 time: 0.3014 data_time: 0.0038 loss: 1.7644 03/11 21:02:16 - mmengine - INFO - Epoch(train) [313][ 600/1252] lr: 8.9492e-04 eta: 1 day, 10:10:04 time: 0.2928 data_time: 0.0036 loss: 1.9325 03/11 21:02:50 - mmengine - INFO - Epoch(train) [313][ 700/1252] lr: 8.9492e-04 eta: 1 day, 10:09:29 time: 0.3504 data_time: 0.0033 loss: 1.8574 03/11 21:03:24 - mmengine - INFO - Epoch(train) [313][ 800/1252] lr: 8.9492e-04 eta: 1 day, 10:08:55 time: 0.3197 data_time: 0.0041 loss: 1.8594 03/11 21:03:58 - mmengine - INFO - Epoch(train) [313][ 900/1252] lr: 8.9492e-04 eta: 1 day, 10:08:20 time: 0.3615 data_time: 0.0035 loss: 1.9047 03/11 21:04:32 - mmengine - INFO - Epoch(train) [313][1000/1252] lr: 8.9492e-04 eta: 1 day, 10:07:46 time: 0.3214 data_time: 0.1530 loss: 1.8552 03/11 21:05:06 - mmengine - INFO - Epoch(train) [313][1100/1252] lr: 8.9492e-04 eta: 1 day, 10:07:11 time: 0.3984 data_time: 0.0810 loss: 1.7836 03/11 21:05:40 - mmengine - INFO - Epoch(train) [313][1200/1252] lr: 8.9492e-04 eta: 1 day, 10:06:37 time: 0.3033 data_time: 0.0041 loss: 1.8113 03/11 21:05:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:05:57 - mmengine - INFO - Saving checkpoint at 313 epochs 03/11 21:06:22 - mmengine - INFO - Epoch(val) [313][49/49] accuracy/top1: 63.5020 accuracy/top5: 84.6600 03/11 21:06:58 - mmengine - INFO - Epoch(train) [314][ 100/1252] lr: 8.9492e-04 eta: 1 day, 10:05:45 time: 0.2797 data_time: 0.0252 loss: 1.9682 03/11 21:07:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:07:33 - mmengine - INFO - Epoch(train) [314][ 200/1252] lr: 8.9492e-04 eta: 1 day, 10:05:12 time: 0.3461 data_time: 0.0036 loss: 1.9557 03/11 21:08:06 - mmengine - INFO - Epoch(train) [314][ 300/1252] lr: 8.9492e-04 eta: 1 day, 10:04:36 time: 0.3326 data_time: 0.0036 loss: 1.8366 03/11 21:08:40 - mmengine - INFO - Epoch(train) [314][ 400/1252] lr: 8.9492e-04 eta: 1 day, 10:04:02 time: 0.2860 data_time: 0.0034 loss: 1.8708 03/11 21:09:14 - mmengine - INFO - Epoch(train) [314][ 500/1252] lr: 8.9492e-04 eta: 1 day, 10:03:28 time: 0.3686 data_time: 0.0035 loss: 1.8611 03/11 21:09:48 - mmengine - INFO - Epoch(train) [314][ 600/1252] lr: 8.9492e-04 eta: 1 day, 10:02:53 time: 0.3492 data_time: 0.1762 loss: 1.8486 03/11 21:10:22 - mmengine - INFO - Epoch(train) [314][ 700/1252] lr: 8.9492e-04 eta: 1 day, 10:02:18 time: 0.3001 data_time: 0.0106 loss: 1.8379 03/11 21:10:56 - mmengine - INFO - Epoch(train) [314][ 800/1252] lr: 8.9492e-04 eta: 1 day, 10:01:43 time: 0.3009 data_time: 0.0642 loss: 1.8219 03/11 21:11:29 - mmengine - INFO - Epoch(train) [314][ 900/1252] lr: 8.9492e-04 eta: 1 day, 10:01:08 time: 0.2979 data_time: 0.1777 loss: 1.8223 03/11 21:12:04 - mmengine - INFO - Epoch(train) [314][1000/1252] lr: 8.9492e-04 eta: 1 day, 10:00:35 time: 0.3679 data_time: 0.0038 loss: 1.8789 03/11 21:12:38 - mmengine - INFO - Epoch(train) [314][1100/1252] lr: 8.9492e-04 eta: 1 day, 10:00:00 time: 0.3204 data_time: 0.1211 loss: 1.8452 03/11 21:12:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:13:12 - mmengine - INFO - Epoch(train) [314][1200/1252] lr: 8.9492e-04 eta: 1 day, 9:59:25 time: 0.3510 data_time: 0.0038 loss: 1.9408 03/11 21:13:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:13:29 - mmengine - INFO - Saving checkpoint at 314 epochs 03/11 21:13:54 - mmengine - INFO - Epoch(val) [314][49/49] accuracy/top1: 64.4860 accuracy/top5: 85.5060 03/11 21:14:31 - mmengine - INFO - Epoch(train) [315][ 100/1252] lr: 8.7075e-04 eta: 1 day, 9:58:35 time: 0.3138 data_time: 0.0035 loss: 2.0528 03/11 21:15:05 - mmengine - INFO - Epoch(train) [315][ 200/1252] lr: 8.7075e-04 eta: 1 day, 9:58:00 time: 0.3159 data_time: 0.0046 loss: 1.8657 03/11 21:15:38 - mmengine - INFO - Epoch(train) [315][ 300/1252] lr: 8.7075e-04 eta: 1 day, 9:57:25 time: 0.3372 data_time: 0.0096 loss: 1.8651 03/11 21:16:12 - mmengine - INFO - Epoch(train) [315][ 400/1252] lr: 8.7075e-04 eta: 1 day, 9:56:51 time: 0.3369 data_time: 0.1771 loss: 1.8655 03/11 21:16:46 - mmengine - INFO - Epoch(train) [315][ 500/1252] lr: 8.7075e-04 eta: 1 day, 9:56:16 time: 0.3023 data_time: 0.0371 loss: 1.7668 03/11 21:17:21 - mmengine - INFO - Epoch(train) [315][ 600/1252] lr: 8.7075e-04 eta: 1 day, 9:55:42 time: 0.3654 data_time: 0.0544 loss: 1.7876 03/11 21:17:55 - mmengine - INFO - Epoch(train) [315][ 700/1252] lr: 8.7075e-04 eta: 1 day, 9:55:08 time: 0.3728 data_time: 0.0042 loss: 1.9788 03/11 21:18:29 - mmengine - INFO - Epoch(train) [315][ 800/1252] lr: 8.7075e-04 eta: 1 day, 9:54:33 time: 0.3362 data_time: 0.0035 loss: 1.8381 03/11 21:18:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:19:03 - mmengine - INFO - Epoch(train) [315][ 900/1252] lr: 8.7075e-04 eta: 1 day, 9:53:59 time: 0.2870 data_time: 0.0035 loss: 1.9182 03/11 21:19:36 - mmengine - INFO - Epoch(train) [315][1000/1252] lr: 8.7075e-04 eta: 1 day, 9:53:23 time: 0.3345 data_time: 0.0038 loss: 1.8758 03/11 21:20:10 - mmengine - INFO - Epoch(train) [315][1100/1252] lr: 8.7075e-04 eta: 1 day, 9:52:49 time: 0.2981 data_time: 0.0039 loss: 1.8602 03/11 21:20:44 - mmengine - INFO - Epoch(train) [315][1200/1252] lr: 8.7075e-04 eta: 1 day, 9:52:14 time: 0.3154 data_time: 0.0234 loss: 1.8576 03/11 21:21:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:21:02 - mmengine - INFO - Saving checkpoint at 315 epochs 03/11 21:21:27 - mmengine - INFO - Epoch(val) [315][49/49] accuracy/top1: 64.8440 accuracy/top5: 85.6780 03/11 21:22:04 - mmengine - INFO - Epoch(train) [316][ 100/1252] lr: 8.7075e-04 eta: 1 day, 9:51:25 time: 0.3742 data_time: 0.0967 loss: 1.8245 03/11 21:22:38 - mmengine - INFO - Epoch(train) [316][ 200/1252] lr: 8.7075e-04 eta: 1 day, 9:50:50 time: 0.3103 data_time: 0.0039 loss: 1.8770 03/11 21:23:12 - mmengine - INFO - Epoch(train) [316][ 300/1252] lr: 8.7075e-04 eta: 1 day, 9:50:16 time: 0.3494 data_time: 0.0038 loss: 1.9596 03/11 21:23:45 - mmengine - INFO - Epoch(train) [316][ 400/1252] lr: 8.7075e-04 eta: 1 day, 9:49:40 time: 0.3472 data_time: 0.0571 loss: 1.8121 03/11 21:24:20 - mmengine - INFO - Epoch(train) [316][ 500/1252] lr: 8.7075e-04 eta: 1 day, 9:49:06 time: 0.3638 data_time: 0.0041 loss: 1.9518 03/11 21:24:53 - mmengine - INFO - Epoch(train) [316][ 600/1252] lr: 8.7075e-04 eta: 1 day, 9:48:32 time: 0.3571 data_time: 0.0033 loss: 2.0172 03/11 21:25:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:25:28 - mmengine - INFO - Epoch(train) [316][ 700/1252] lr: 8.7075e-04 eta: 1 day, 9:47:57 time: 0.3631 data_time: 0.0034 loss: 1.8257 03/11 21:26:01 - mmengine - INFO - Epoch(train) [316][ 800/1252] lr: 8.7075e-04 eta: 1 day, 9:47:22 time: 0.3094 data_time: 0.1430 loss: 1.8486 03/11 21:26:36 - mmengine - INFO - Epoch(train) [316][ 900/1252] lr: 8.7075e-04 eta: 1 day, 9:46:48 time: 0.3052 data_time: 0.0047 loss: 1.7279 03/11 21:27:10 - mmengine - INFO - Epoch(train) [316][1000/1252] lr: 8.7075e-04 eta: 1 day, 9:46:14 time: 0.3479 data_time: 0.0040 loss: 1.7736 03/11 21:27:44 - mmengine - INFO - Epoch(train) [316][1100/1252] lr: 8.7075e-04 eta: 1 day, 9:45:39 time: 0.3486 data_time: 0.0037 loss: 1.7877 03/11 21:28:18 - mmengine - INFO - Epoch(train) [316][1200/1252] lr: 8.7075e-04 eta: 1 day, 9:45:04 time: 0.3564 data_time: 0.0040 loss: 1.9073 03/11 21:28:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:28:35 - mmengine - INFO - Saving checkpoint at 316 epochs 03/11 21:28:59 - mmengine - INFO - Epoch(val) [316][49/49] accuracy/top1: 65.0740 accuracy/top5: 86.0680 03/11 21:29:36 - mmengine - INFO - Epoch(train) [317][ 100/1252] lr: 8.4724e-04 eta: 1 day, 9:44:14 time: 0.3661 data_time: 0.0036 loss: 1.9209 03/11 21:30:10 - mmengine - INFO - Epoch(train) [317][ 200/1252] lr: 8.4724e-04 eta: 1 day, 9:43:40 time: 0.3426 data_time: 0.2039 loss: 1.9029 03/11 21:30:44 - mmengine - INFO - Epoch(train) [317][ 300/1252] lr: 8.4724e-04 eta: 1 day, 9:43:05 time: 0.3382 data_time: 0.1103 loss: 1.9010 03/11 21:31:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:31:18 - mmengine - INFO - Epoch(train) [317][ 400/1252] lr: 8.4724e-04 eta: 1 day, 9:42:31 time: 0.3586 data_time: 0.0158 loss: 1.8401 03/11 21:31:52 - mmengine - INFO - Epoch(train) [317][ 500/1252] lr: 8.4724e-04 eta: 1 day, 9:41:57 time: 0.3888 data_time: 0.0031 loss: 1.8721 03/11 21:32:26 - mmengine - INFO - Epoch(train) [317][ 600/1252] lr: 8.4724e-04 eta: 1 day, 9:41:22 time: 0.3045 data_time: 0.0037 loss: 1.7468 03/11 21:33:00 - mmengine - INFO - Epoch(train) [317][ 700/1252] lr: 8.4724e-04 eta: 1 day, 9:40:47 time: 0.3346 data_time: 0.0040 loss: 1.8690 03/11 21:33:35 - mmengine - INFO - Epoch(train) [317][ 800/1252] lr: 8.4724e-04 eta: 1 day, 9:40:13 time: 0.3667 data_time: 0.0033 loss: 1.8733 03/11 21:34:08 - mmengine - INFO - Epoch(train) [317][ 900/1252] lr: 8.4724e-04 eta: 1 day, 9:39:39 time: 0.3337 data_time: 0.0037 loss: 1.7026 03/11 21:34:42 - mmengine - INFO - Epoch(train) [317][1000/1252] lr: 8.4724e-04 eta: 1 day, 9:39:03 time: 0.2917 data_time: 0.0751 loss: 1.9341 03/11 21:35:16 - mmengine - INFO - Epoch(train) [317][1100/1252] lr: 8.4724e-04 eta: 1 day, 9:38:29 time: 0.2883 data_time: 0.0036 loss: 1.8514 03/11 21:35:50 - mmengine - INFO - Epoch(train) [317][1200/1252] lr: 8.4724e-04 eta: 1 day, 9:37:54 time: 0.3391 data_time: 0.0039 loss: 1.8872 03/11 21:36:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:36:07 - mmengine - INFO - Saving checkpoint at 317 epochs 03/11 21:36:32 - mmengine - INFO - Epoch(val) [317][49/49] accuracy/top1: 64.4720 accuracy/top5: 85.4520 03/11 21:37:08 - mmengine - INFO - Epoch(train) [318][ 100/1252] lr: 8.4724e-04 eta: 1 day, 9:37:04 time: 0.3264 data_time: 0.0035 loss: 1.8602 03/11 21:37:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:37:43 - mmengine - INFO - Epoch(train) [318][ 200/1252] lr: 8.4724e-04 eta: 1 day, 9:36:30 time: 0.3576 data_time: 0.0037 loss: 2.0234 03/11 21:38:17 - mmengine - INFO - Epoch(train) [318][ 300/1252] lr: 8.4724e-04 eta: 1 day, 9:35:55 time: 0.2986 data_time: 0.0038 loss: 1.7552 03/11 21:38:51 - mmengine - INFO - Epoch(train) [318][ 400/1252] lr: 8.4724e-04 eta: 1 day, 9:35:21 time: 0.3505 data_time: 0.0039 loss: 1.7801 03/11 21:39:25 - mmengine - INFO - Epoch(train) [318][ 500/1252] lr: 8.4724e-04 eta: 1 day, 9:34:47 time: 0.3362 data_time: 0.0034 loss: 1.8698 03/11 21:39:59 - mmengine - INFO - Epoch(train) [318][ 600/1252] lr: 8.4724e-04 eta: 1 day, 9:34:12 time: 0.3099 data_time: 0.0083 loss: 1.9258 03/11 21:40:34 - mmengine - INFO - Epoch(train) [318][ 700/1252] lr: 8.4724e-04 eta: 1 day, 9:33:38 time: 0.4162 data_time: 0.0057 loss: 1.8338 03/11 21:41:07 - mmengine - INFO - Epoch(train) [318][ 800/1252] lr: 8.4724e-04 eta: 1 day, 9:33:03 time: 0.4123 data_time: 0.0036 loss: 1.7999 03/11 21:41:40 - mmengine - INFO - Epoch(train) [318][ 900/1252] lr: 8.4724e-04 eta: 1 day, 9:32:28 time: 0.2967 data_time: 0.0042 loss: 1.9055 03/11 21:42:14 - mmengine - INFO - Epoch(train) [318][1000/1252] lr: 8.4724e-04 eta: 1 day, 9:31:53 time: 0.2718 data_time: 0.0836 loss: 1.8079 03/11 21:42:49 - mmengine - INFO - Epoch(train) [318][1100/1252] lr: 8.4724e-04 eta: 1 day, 9:31:19 time: 0.4040 data_time: 0.0037 loss: 1.8964 03/11 21:42:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:43:22 - mmengine - INFO - Epoch(train) [318][1200/1252] lr: 8.4724e-04 eta: 1 day, 9:30:44 time: 0.3905 data_time: 0.0086 loss: 1.9039 03/11 21:43:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:43:40 - mmengine - INFO - Saving checkpoint at 318 epochs 03/11 21:44:04 - mmengine - INFO - Epoch(val) [318][49/49] accuracy/top1: 64.9620 accuracy/top5: 85.7080 03/11 21:44:41 - mmengine - INFO - Epoch(train) [319][ 100/1252] lr: 8.2437e-04 eta: 1 day, 9:29:54 time: 0.3496 data_time: 0.0997 loss: 1.8707 03/11 21:45:15 - mmengine - INFO - Epoch(train) [319][ 200/1252] lr: 8.2437e-04 eta: 1 day, 9:29:20 time: 0.4161 data_time: 0.0033 loss: 1.7878 03/11 21:45:49 - mmengine - INFO - Epoch(train) [319][ 300/1252] lr: 8.2437e-04 eta: 1 day, 9:28:46 time: 0.3707 data_time: 0.0034 loss: 1.8889 03/11 21:46:23 - mmengine - INFO - Epoch(train) [319][ 400/1252] lr: 8.2437e-04 eta: 1 day, 9:28:11 time: 0.3476 data_time: 0.2041 loss: 1.8694 03/11 21:46:57 - mmengine - INFO - Epoch(train) [319][ 500/1252] lr: 8.2437e-04 eta: 1 day, 9:27:36 time: 0.3659 data_time: 0.0301 loss: 1.7319 03/11 21:47:31 - mmengine - INFO - Epoch(train) [319][ 600/1252] lr: 8.2437e-04 eta: 1 day, 9:27:02 time: 0.3313 data_time: 0.0039 loss: 2.0203 03/11 21:48:06 - mmengine - INFO - Epoch(train) [319][ 700/1252] lr: 8.2437e-04 eta: 1 day, 9:26:28 time: 0.3647 data_time: 0.0111 loss: 1.9226 03/11 21:48:39 - mmengine - INFO - Epoch(train) [319][ 800/1252] lr: 8.2437e-04 eta: 1 day, 9:25:53 time: 0.3331 data_time: 0.0531 loss: 1.8388 03/11 21:49:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:49:14 - mmengine - INFO - Epoch(train) [319][ 900/1252] lr: 8.2437e-04 eta: 1 day, 9:25:19 time: 0.3174 data_time: 0.0099 loss: 1.8481 03/11 21:49:48 - mmengine - INFO - Epoch(train) [319][1000/1252] lr: 8.2437e-04 eta: 1 day, 9:24:45 time: 0.3435 data_time: 0.0494 loss: 1.8050 03/11 21:50:22 - mmengine - INFO - Epoch(train) [319][1100/1252] lr: 8.2437e-04 eta: 1 day, 9:24:10 time: 0.3255 data_time: 0.0036 loss: 1.8476 03/11 21:50:56 - mmengine - INFO - Epoch(train) [319][1200/1252] lr: 8.2437e-04 eta: 1 day, 9:23:35 time: 0.3248 data_time: 0.1991 loss: 1.8469 03/11 21:51:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:51:13 - mmengine - INFO - Saving checkpoint at 319 epochs 03/11 21:51:37 - mmengine - INFO - Epoch(val) [319][49/49] accuracy/top1: 63.9220 accuracy/top5: 84.8820 03/11 21:52:14 - mmengine - INFO - Epoch(train) [320][ 100/1252] lr: 8.2437e-04 eta: 1 day, 9:22:45 time: 0.4019 data_time: 0.0046 loss: 1.8658 03/11 21:52:48 - mmengine - INFO - Epoch(train) [320][ 200/1252] lr: 8.2437e-04 eta: 1 day, 9:22:11 time: 0.3406 data_time: 0.0038 loss: 1.7658 03/11 21:53:22 - mmengine - INFO - Epoch(train) [320][ 300/1252] lr: 8.2437e-04 eta: 1 day, 9:21:36 time: 0.3555 data_time: 0.0154 loss: 1.9439 03/11 21:53:56 - mmengine - INFO - Epoch(train) [320][ 400/1252] lr: 8.2437e-04 eta: 1 day, 9:21:02 time: 0.3185 data_time: 0.0178 loss: 1.8859 03/11 21:54:30 - mmengine - INFO - Epoch(train) [320][ 500/1252] lr: 8.2437e-04 eta: 1 day, 9:20:28 time: 0.2950 data_time: 0.1686 loss: 1.8029 03/11 21:55:05 - mmengine - INFO - Epoch(train) [320][ 600/1252] lr: 8.2437e-04 eta: 1 day, 9:19:53 time: 0.3460 data_time: 0.0553 loss: 1.8343 03/11 21:55:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:55:38 - mmengine - INFO - Epoch(train) [320][ 700/1252] lr: 8.2437e-04 eta: 1 day, 9:19:19 time: 0.3761 data_time: 0.0037 loss: 1.9091 03/11 21:56:12 - mmengine - INFO - Epoch(train) [320][ 800/1252] lr: 8.2437e-04 eta: 1 day, 9:18:44 time: 0.3333 data_time: 0.0035 loss: 1.8488 03/11 21:56:47 - mmengine - INFO - Epoch(train) [320][ 900/1252] lr: 8.2437e-04 eta: 1 day, 9:18:10 time: 0.3632 data_time: 0.0039 loss: 1.8900 03/11 21:57:20 - mmengine - INFO - Epoch(train) [320][1000/1252] lr: 8.2437e-04 eta: 1 day, 9:17:35 time: 0.3018 data_time: 0.0035 loss: 1.9271 03/11 21:57:54 - mmengine - INFO - Epoch(train) [320][1100/1252] lr: 8.2437e-04 eta: 1 day, 9:17:00 time: 0.3066 data_time: 0.0037 loss: 1.9094 03/11 21:58:28 - mmengine - INFO - Epoch(train) [320][1200/1252] lr: 8.2437e-04 eta: 1 day, 9:16:25 time: 0.3128 data_time: 0.1927 loss: 1.8067 03/11 21:58:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 21:58:46 - mmengine - INFO - Saving checkpoint at 320 epochs 03/11 21:59:12 - mmengine - INFO - Epoch(val) [320][49/49] accuracy/top1: 64.6560 accuracy/top5: 85.5120 03/11 21:59:49 - mmengine - INFO - Epoch(train) [321][ 100/1252] lr: 8.0211e-04 eta: 1 day, 9:15:37 time: 0.3395 data_time: 0.2047 loss: 1.9358 03/11 22:00:23 - mmengine - INFO - Epoch(train) [321][ 200/1252] lr: 8.0211e-04 eta: 1 day, 9:15:03 time: 0.3662 data_time: 0.0153 loss: 1.8189 03/11 22:00:57 - mmengine - INFO - Epoch(train) [321][ 300/1252] lr: 8.0211e-04 eta: 1 day, 9:14:28 time: 0.3088 data_time: 0.0038 loss: 1.7588 03/11 22:01:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:01:31 - mmengine - INFO - Epoch(train) [321][ 400/1252] lr: 8.0211e-04 eta: 1 day, 9:13:54 time: 0.3385 data_time: 0.0689 loss: 1.7733 03/11 22:02:05 - mmengine - INFO - Epoch(train) [321][ 500/1252] lr: 8.0211e-04 eta: 1 day, 9:13:19 time: 0.3154 data_time: 0.0036 loss: 1.8839 03/11 22:02:40 - mmengine - INFO - Epoch(train) [321][ 600/1252] lr: 8.0211e-04 eta: 1 day, 9:12:45 time: 0.3102 data_time: 0.0036 loss: 1.7650 03/11 22:03:14 - mmengine - INFO - Epoch(train) [321][ 700/1252] lr: 8.0211e-04 eta: 1 day, 9:12:11 time: 0.3359 data_time: 0.0038 loss: 1.9216 03/11 22:03:48 - mmengine - INFO - Epoch(train) [321][ 800/1252] lr: 8.0211e-04 eta: 1 day, 9:11:36 time: 0.3105 data_time: 0.0840 loss: 1.8316 03/11 22:04:22 - mmengine - INFO - Epoch(train) [321][ 900/1252] lr: 8.0211e-04 eta: 1 day, 9:11:02 time: 0.3296 data_time: 0.0038 loss: 1.9483 03/11 22:04:55 - mmengine - INFO - Epoch(train) [321][1000/1252] lr: 8.0211e-04 eta: 1 day, 9:10:27 time: 0.3287 data_time: 0.1209 loss: 1.8541 03/11 22:05:30 - mmengine - INFO - Epoch(train) [321][1100/1252] lr: 8.0211e-04 eta: 1 day, 9:09:53 time: 0.3214 data_time: 0.1191 loss: 1.8777 03/11 22:06:04 - mmengine - INFO - Epoch(train) [321][1200/1252] lr: 8.0211e-04 eta: 1 day, 9:09:18 time: 0.3377 data_time: 0.0292 loss: 1.8034 03/11 22:06:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:06:21 - mmengine - INFO - Saving checkpoint at 321 epochs 03/11 22:06:45 - mmengine - INFO - Epoch(val) [321][49/49] accuracy/top1: 64.6960 accuracy/top5: 85.7920 03/11 22:07:22 - mmengine - INFO - Epoch(train) [322][ 100/1252] lr: 8.0211e-04 eta: 1 day, 9:08:28 time: 0.3314 data_time: 0.0032 loss: 1.9230 03/11 22:07:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:07:56 - mmengine - INFO - Epoch(train) [322][ 200/1252] lr: 8.0211e-04 eta: 1 day, 9:07:53 time: 0.3466 data_time: 0.0092 loss: 1.8628 03/11 22:08:29 - mmengine - INFO - Epoch(train) [322][ 300/1252] lr: 8.0211e-04 eta: 1 day, 9:07:18 time: 0.3020 data_time: 0.0035 loss: 1.8157 03/11 22:09:04 - mmengine - INFO - Epoch(train) [322][ 400/1252] lr: 8.0211e-04 eta: 1 day, 9:06:44 time: 0.3373 data_time: 0.0034 loss: 1.8854 03/11 22:09:38 - mmengine - INFO - Epoch(train) [322][ 500/1252] lr: 8.0211e-04 eta: 1 day, 9:06:10 time: 0.3119 data_time: 0.0050 loss: 1.7777 03/11 22:10:12 - mmengine - INFO - Epoch(train) [322][ 600/1252] lr: 8.0211e-04 eta: 1 day, 9:05:35 time: 0.3152 data_time: 0.1734 loss: 1.9030 03/11 22:10:45 - mmengine - INFO - Epoch(train) [322][ 700/1252] lr: 8.0211e-04 eta: 1 day, 9:05:00 time: 0.3441 data_time: 0.0359 loss: 1.8567 03/11 22:11:19 - mmengine - INFO - Epoch(train) [322][ 800/1252] lr: 8.0211e-04 eta: 1 day, 9:04:26 time: 0.2874 data_time: 0.0039 loss: 1.9189 03/11 22:11:54 - mmengine - INFO - Epoch(train) [322][ 900/1252] lr: 8.0211e-04 eta: 1 day, 9:03:51 time: 0.3852 data_time: 0.0037 loss: 1.7412 03/11 22:12:27 - mmengine - INFO - Epoch(train) [322][1000/1252] lr: 8.0211e-04 eta: 1 day, 9:03:17 time: 0.3250 data_time: 0.0035 loss: 1.8229 03/11 22:13:02 - mmengine - INFO - Epoch(train) [322][1100/1252] lr: 8.0211e-04 eta: 1 day, 9:02:42 time: 0.2959 data_time: 0.0829 loss: 1.8423 03/11 22:13:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:13:36 - mmengine - INFO - Epoch(train) [322][1200/1252] lr: 8.0211e-04 eta: 1 day, 9:02:08 time: 0.3498 data_time: 0.0128 loss: 1.9125 03/11 22:13:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:13:52 - mmengine - INFO - Saving checkpoint at 322 epochs 03/11 22:14:17 - mmengine - INFO - Epoch(val) [322][49/49] accuracy/top1: 65.5040 accuracy/top5: 86.1240 03/11 22:14:54 - mmengine - INFO - Epoch(train) [323][ 100/1252] lr: 7.8045e-04 eta: 1 day, 9:01:17 time: 0.3029 data_time: 0.0643 loss: 1.8578 03/11 22:15:29 - mmengine - INFO - Epoch(train) [323][ 200/1252] lr: 7.8045e-04 eta: 1 day, 9:00:43 time: 0.2905 data_time: 0.0045 loss: 1.9054 03/11 22:16:03 - mmengine - INFO - Epoch(train) [323][ 300/1252] lr: 7.8045e-04 eta: 1 day, 9:00:09 time: 0.3898 data_time: 0.0038 loss: 1.8704 03/11 22:16:37 - mmengine - INFO - Epoch(train) [323][ 400/1252] lr: 7.8045e-04 eta: 1 day, 8:59:34 time: 0.2978 data_time: 0.0038 loss: 1.7885 03/11 22:17:10 - mmengine - INFO - Epoch(train) [323][ 500/1252] lr: 7.8045e-04 eta: 1 day, 8:58:59 time: 0.3705 data_time: 0.2066 loss: 1.7685 03/11 22:17:45 - mmengine - INFO - Epoch(train) [323][ 600/1252] lr: 7.8045e-04 eta: 1 day, 8:58:25 time: 0.3588 data_time: 0.1541 loss: 1.8226 03/11 22:18:19 - mmengine - INFO - Epoch(train) [323][ 700/1252] lr: 7.8045e-04 eta: 1 day, 8:57:50 time: 0.3261 data_time: 0.0041 loss: 1.9479 03/11 22:18:54 - mmengine - INFO - Epoch(train) [323][ 800/1252] lr: 7.8045e-04 eta: 1 day, 8:57:17 time: 0.3979 data_time: 0.0045 loss: 1.8095 03/11 22:19:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:19:27 - mmengine - INFO - Epoch(train) [323][ 900/1252] lr: 7.8045e-04 eta: 1 day, 8:56:42 time: 0.2987 data_time: 0.0115 loss: 1.8223 03/11 22:20:01 - mmengine - INFO - Epoch(train) [323][1000/1252] lr: 7.8045e-04 eta: 1 day, 8:56:07 time: 0.3280 data_time: 0.0038 loss: 1.9058 03/11 22:20:36 - mmengine - INFO - Epoch(train) [323][1100/1252] lr: 7.8045e-04 eta: 1 day, 8:55:33 time: 0.3869 data_time: 0.0038 loss: 1.8604 03/11 22:21:09 - mmengine - INFO - Epoch(train) [323][1200/1252] lr: 7.8045e-04 eta: 1 day, 8:54:58 time: 0.3030 data_time: 0.0036 loss: 1.8452 03/11 22:21:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:21:27 - mmengine - INFO - Saving checkpoint at 323 epochs 03/11 22:21:52 - mmengine - INFO - Epoch(val) [323][49/49] accuracy/top1: 64.8020 accuracy/top5: 85.7200 03/11 22:22:28 - mmengine - INFO - Epoch(train) [324][ 100/1252] lr: 7.8045e-04 eta: 1 day, 8:54:08 time: 0.3531 data_time: 0.1207 loss: 1.7621 03/11 22:23:02 - mmengine - INFO - Epoch(train) [324][ 200/1252] lr: 7.8045e-04 eta: 1 day, 8:53:33 time: 0.3530 data_time: 0.1673 loss: 1.8927 03/11 22:23:37 - mmengine - INFO - Epoch(train) [324][ 300/1252] lr: 7.8045e-04 eta: 1 day, 8:52:59 time: 0.3390 data_time: 0.0965 loss: 1.8219 03/11 22:24:10 - mmengine - INFO - Epoch(train) [324][ 400/1252] lr: 7.8045e-04 eta: 1 day, 8:52:25 time: 0.3311 data_time: 0.0784 loss: 1.8513 03/11 22:24:45 - mmengine - INFO - Epoch(train) [324][ 500/1252] lr: 7.8045e-04 eta: 1 day, 8:51:50 time: 0.3410 data_time: 0.0034 loss: 1.8286 03/11 22:25:19 - mmengine - INFO - Epoch(train) [324][ 600/1252] lr: 7.8045e-04 eta: 1 day, 8:51:16 time: 0.3690 data_time: 0.1342 loss: 1.8216 03/11 22:25:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:25:52 - mmengine - INFO - Epoch(train) [324][ 700/1252] lr: 7.8045e-04 eta: 1 day, 8:50:41 time: 0.3679 data_time: 0.0313 loss: 1.8100 03/11 22:26:26 - mmengine - INFO - Epoch(train) [324][ 800/1252] lr: 7.8045e-04 eta: 1 day, 8:50:07 time: 0.3524 data_time: 0.1997 loss: 1.7827 03/11 22:27:01 - mmengine - INFO - Epoch(train) [324][ 900/1252] lr: 7.8045e-04 eta: 1 day, 8:49:32 time: 0.3386 data_time: 0.0032 loss: 1.8521 03/11 22:27:35 - mmengine - INFO - Epoch(train) [324][1000/1252] lr: 7.8045e-04 eta: 1 day, 8:48:58 time: 0.3707 data_time: 0.0821 loss: 1.8426 03/11 22:28:08 - mmengine - INFO - Epoch(train) [324][1100/1252] lr: 7.8045e-04 eta: 1 day, 8:48:23 time: 0.2829 data_time: 0.0431 loss: 1.7643 03/11 22:28:43 - mmengine - INFO - Epoch(train) [324][1200/1252] lr: 7.8045e-04 eta: 1 day, 8:47:49 time: 0.3054 data_time: 0.0045 loss: 1.8478 03/11 22:29:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:29:00 - mmengine - INFO - Saving checkpoint at 324 epochs 03/11 22:29:24 - mmengine - INFO - Epoch(val) [324][49/49] accuracy/top1: 64.1440 accuracy/top5: 85.1520 03/11 22:30:01 - mmengine - INFO - Epoch(train) [325][ 100/1252] lr: 7.5938e-04 eta: 1 day, 8:46:58 time: 0.2903 data_time: 0.0045 loss: 1.9136 03/11 22:30:35 - mmengine - INFO - Epoch(train) [325][ 200/1252] lr: 7.5938e-04 eta: 1 day, 8:46:24 time: 0.3361 data_time: 0.0047 loss: 1.8984 03/11 22:31:10 - mmengine - INFO - Epoch(train) [325][ 300/1252] lr: 7.5938e-04 eta: 1 day, 8:45:50 time: 0.3461 data_time: 0.0038 loss: 1.7934 03/11 22:31:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:31:43 - mmengine - INFO - Epoch(train) [325][ 400/1252] lr: 7.5938e-04 eta: 1 day, 8:45:15 time: 0.3660 data_time: 0.0039 loss: 1.8902 03/11 22:32:17 - mmengine - INFO - Epoch(train) [325][ 500/1252] lr: 7.5938e-04 eta: 1 day, 8:44:41 time: 0.3005 data_time: 0.0043 loss: 1.8214 03/11 22:32:52 - mmengine - INFO - Epoch(train) [325][ 600/1252] lr: 7.5938e-04 eta: 1 day, 8:44:06 time: 0.3447 data_time: 0.1641 loss: 1.8938 03/11 22:33:26 - mmengine - INFO - Epoch(train) [325][ 700/1252] lr: 7.5938e-04 eta: 1 day, 8:43:32 time: 0.3250 data_time: 0.0037 loss: 1.8767 03/11 22:34:00 - mmengine - INFO - Epoch(train) [325][ 800/1252] lr: 7.5938e-04 eta: 1 day, 8:42:58 time: 0.3497 data_time: 0.0033 loss: 1.9962 03/11 22:34:35 - mmengine - INFO - Epoch(train) [325][ 900/1252] lr: 7.5938e-04 eta: 1 day, 8:42:25 time: 0.3607 data_time: 0.0037 loss: 1.8772 03/11 22:35:09 - mmengine - INFO - Epoch(train) [325][1000/1252] lr: 7.5938e-04 eta: 1 day, 8:41:50 time: 0.3852 data_time: 0.0037 loss: 1.8387 03/11 22:35:43 - mmengine - INFO - Epoch(train) [325][1100/1252] lr: 7.5938e-04 eta: 1 day, 8:41:15 time: 0.3798 data_time: 0.1385 loss: 1.7863 03/11 22:36:17 - mmengine - INFO - Epoch(train) [325][1200/1252] lr: 7.5938e-04 eta: 1 day, 8:40:41 time: 0.2838 data_time: 0.0036 loss: 1.7737 03/11 22:36:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:36:34 - mmengine - INFO - Saving checkpoint at 325 epochs 03/11 22:36:58 - mmengine - INFO - Epoch(val) [325][49/49] accuracy/top1: 65.0700 accuracy/top5: 85.7600 03/11 22:37:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:37:35 - mmengine - INFO - Epoch(train) [326][ 100/1252] lr: 7.5938e-04 eta: 1 day, 8:39:51 time: 0.4003 data_time: 0.0041 loss: 1.7175 03/11 22:38:09 - mmengine - INFO - Epoch(train) [326][ 200/1252] lr: 7.5938e-04 eta: 1 day, 8:39:16 time: 0.3552 data_time: 0.0036 loss: 1.8893 03/11 22:38:44 - mmengine - INFO - Epoch(train) [326][ 300/1252] lr: 7.5938e-04 eta: 1 day, 8:38:42 time: 0.4049 data_time: 0.2853 loss: 1.9022 03/11 22:39:17 - mmengine - INFO - Epoch(train) [326][ 400/1252] lr: 7.5938e-04 eta: 1 day, 8:38:07 time: 0.3832 data_time: 0.0035 loss: 1.7856 03/11 22:39:51 - mmengine - INFO - Epoch(train) [326][ 500/1252] lr: 7.5938e-04 eta: 1 day, 8:37:33 time: 0.3420 data_time: 0.0177 loss: 1.9528 03/11 22:40:25 - mmengine - INFO - Epoch(train) [326][ 600/1252] lr: 7.5938e-04 eta: 1 day, 8:36:58 time: 0.2832 data_time: 0.1166 loss: 1.9656 03/11 22:40:59 - mmengine - INFO - Epoch(train) [326][ 700/1252] lr: 7.5938e-04 eta: 1 day, 8:36:24 time: 0.3410 data_time: 0.0123 loss: 1.8414 03/11 22:41:34 - mmengine - INFO - Epoch(train) [326][ 800/1252] lr: 7.5938e-04 eta: 1 day, 8:35:50 time: 0.3678 data_time: 0.0046 loss: 1.7367 03/11 22:42:09 - mmengine - INFO - Epoch(train) [326][ 900/1252] lr: 7.5938e-04 eta: 1 day, 8:35:16 time: 0.3814 data_time: 0.0036 loss: 1.8420 03/11 22:42:42 - mmengine - INFO - Epoch(train) [326][1000/1252] lr: 7.5938e-04 eta: 1 day, 8:34:41 time: 0.2783 data_time: 0.0574 loss: 1.9733 03/11 22:43:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:43:16 - mmengine - INFO - Epoch(train) [326][1100/1252] lr: 7.5938e-04 eta: 1 day, 8:34:06 time: 0.3429 data_time: 0.0037 loss: 1.9208 03/11 22:43:50 - mmengine - INFO - Epoch(train) [326][1200/1252] lr: 7.5938e-04 eta: 1 day, 8:33:32 time: 0.3329 data_time: 0.0042 loss: 1.9052 03/11 22:44:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:44:07 - mmengine - INFO - Saving checkpoint at 326 epochs 03/11 22:44:32 - mmengine - INFO - Epoch(val) [326][49/49] accuracy/top1: 64.7700 accuracy/top5: 85.6500 03/11 22:45:09 - mmengine - INFO - Epoch(train) [327][ 100/1252] lr: 7.3888e-04 eta: 1 day, 8:32:42 time: 0.3405 data_time: 0.0357 loss: 1.8104 03/11 22:45:44 - mmengine - INFO - Epoch(train) [327][ 200/1252] lr: 7.3888e-04 eta: 1 day, 8:32:08 time: 0.3533 data_time: 0.0507 loss: 1.7699 03/11 22:46:18 - mmengine - INFO - Epoch(train) [327][ 300/1252] lr: 7.3888e-04 eta: 1 day, 8:31:34 time: 0.3142 data_time: 0.0040 loss: 1.8070 03/11 22:46:52 - mmengine - INFO - Epoch(train) [327][ 400/1252] lr: 7.3888e-04 eta: 1 day, 8:31:00 time: 0.3668 data_time: 0.2463 loss: 1.8222 03/11 22:47:26 - mmengine - INFO - Epoch(train) [327][ 500/1252] lr: 7.3888e-04 eta: 1 day, 8:30:25 time: 0.3469 data_time: 0.1986 loss: 1.8465 03/11 22:48:01 - mmengine - INFO - Epoch(train) [327][ 600/1252] lr: 7.3888e-04 eta: 1 day, 8:29:51 time: 0.3266 data_time: 0.0037 loss: 1.8885 03/11 22:48:34 - mmengine - INFO - Epoch(train) [327][ 700/1252] lr: 7.3888e-04 eta: 1 day, 8:29:16 time: 0.3316 data_time: 0.0037 loss: 1.8003 03/11 22:49:10 - mmengine - INFO - Epoch(train) [327][ 800/1252] lr: 7.3888e-04 eta: 1 day, 8:28:43 time: 0.3612 data_time: 0.0037 loss: 1.8804 03/11 22:49:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:49:43 - mmengine - INFO - Epoch(train) [327][ 900/1252] lr: 7.3888e-04 eta: 1 day, 8:28:08 time: 0.3168 data_time: 0.1697 loss: 1.7818 03/11 22:50:18 - mmengine - INFO - Epoch(train) [327][1000/1252] lr: 7.3888e-04 eta: 1 day, 8:27:34 time: 0.3078 data_time: 0.0040 loss: 1.7303 03/11 22:50:51 - mmengine - INFO - Epoch(train) [327][1100/1252] lr: 7.3888e-04 eta: 1 day, 8:26:59 time: 0.3669 data_time: 0.0493 loss: 1.8092 03/11 22:51:26 - mmengine - INFO - Epoch(train) [327][1200/1252] lr: 7.3888e-04 eta: 1 day, 8:26:25 time: 0.3516 data_time: 0.1226 loss: 1.7688 03/11 22:51:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:51:42 - mmengine - INFO - Saving checkpoint at 327 epochs 03/11 22:52:07 - mmengine - INFO - Epoch(val) [327][49/49] accuracy/top1: 64.9140 accuracy/top5: 85.7780 03/11 22:52:44 - mmengine - INFO - Epoch(train) [328][ 100/1252] lr: 7.3888e-04 eta: 1 day, 8:25:35 time: 0.3860 data_time: 0.0988 loss: 1.9043 03/11 22:53:18 - mmengine - INFO - Epoch(train) [328][ 200/1252] lr: 7.3888e-04 eta: 1 day, 8:25:00 time: 0.2976 data_time: 0.1730 loss: 1.8269 03/11 22:53:52 - mmengine - INFO - Epoch(train) [328][ 300/1252] lr: 7.3888e-04 eta: 1 day, 8:24:25 time: 0.3378 data_time: 0.0037 loss: 1.9065 03/11 22:54:27 - mmengine - INFO - Epoch(train) [328][ 400/1252] lr: 7.3888e-04 eta: 1 day, 8:23:51 time: 0.3147 data_time: 0.0913 loss: 1.8810 03/11 22:55:00 - mmengine - INFO - Epoch(train) [328][ 500/1252] lr: 7.3888e-04 eta: 1 day, 8:23:16 time: 0.3295 data_time: 0.0034 loss: 1.7654 03/11 22:55:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:55:35 - mmengine - INFO - Epoch(train) [328][ 600/1252] lr: 7.3888e-04 eta: 1 day, 8:22:42 time: 0.3829 data_time: 0.0036 loss: 1.8929 03/11 22:56:09 - mmengine - INFO - Epoch(train) [328][ 700/1252] lr: 7.3888e-04 eta: 1 day, 8:22:08 time: 0.3617 data_time: 0.0496 loss: 1.8238 03/11 22:56:42 - mmengine - INFO - Epoch(train) [328][ 800/1252] lr: 7.3888e-04 eta: 1 day, 8:21:33 time: 0.3427 data_time: 0.0996 loss: 1.8319 03/11 22:57:17 - mmengine - INFO - Epoch(train) [328][ 900/1252] lr: 7.3888e-04 eta: 1 day, 8:20:59 time: 0.2747 data_time: 0.0039 loss: 1.9897 03/11 22:57:51 - mmengine - INFO - Epoch(train) [328][1000/1252] lr: 7.3888e-04 eta: 1 day, 8:20:24 time: 0.3445 data_time: 0.0038 loss: 1.8295 03/11 22:58:25 - mmengine - INFO - Epoch(train) [328][1100/1252] lr: 7.3888e-04 eta: 1 day, 8:19:50 time: 0.3068 data_time: 0.0237 loss: 1.8192 03/11 22:58:59 - mmengine - INFO - Epoch(train) [328][1200/1252] lr: 7.3888e-04 eta: 1 day, 8:19:15 time: 0.3047 data_time: 0.0773 loss: 1.9979 03/11 22:59:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 22:59:16 - mmengine - INFO - Saving checkpoint at 328 epochs 03/11 22:59:41 - mmengine - INFO - Epoch(val) [328][49/49] accuracy/top1: 65.4020 accuracy/top5: 86.1900 03/11 23:00:18 - mmengine - INFO - Epoch(train) [329][ 100/1252] lr: 7.1893e-04 eta: 1 day, 8:18:25 time: 0.3530 data_time: 0.0518 loss: 1.8034 03/11 23:00:52 - mmengine - INFO - Epoch(train) [329][ 200/1252] lr: 7.1893e-04 eta: 1 day, 8:17:50 time: 0.3246 data_time: 0.0789 loss: 1.8192 03/11 23:01:26 - mmengine - INFO - Epoch(train) [329][ 300/1252] lr: 7.1893e-04 eta: 1 day, 8:17:16 time: 0.3241 data_time: 0.0036 loss: 1.9247 03/11 23:01:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:02:00 - mmengine - INFO - Epoch(train) [329][ 400/1252] lr: 7.1893e-04 eta: 1 day, 8:16:42 time: 0.3003 data_time: 0.0039 loss: 1.9260 03/11 23:02:35 - mmengine - INFO - Epoch(train) [329][ 500/1252] lr: 7.1893e-04 eta: 1 day, 8:16:08 time: 0.2989 data_time: 0.0033 loss: 1.8082 03/11 23:03:08 - mmengine - INFO - Epoch(train) [329][ 600/1252] lr: 7.1893e-04 eta: 1 day, 8:15:33 time: 0.3025 data_time: 0.0035 loss: 1.8564 03/11 23:03:43 - mmengine - INFO - Epoch(train) [329][ 700/1252] lr: 7.1893e-04 eta: 1 day, 8:14:59 time: 0.4014 data_time: 0.0037 loss: 1.9642 03/11 23:04:16 - mmengine - INFO - Epoch(train) [329][ 800/1252] lr: 7.1893e-04 eta: 1 day, 8:14:24 time: 0.3250 data_time: 0.0036 loss: 1.9966 03/11 23:04:50 - mmengine - INFO - Epoch(train) [329][ 900/1252] lr: 7.1893e-04 eta: 1 day, 8:13:50 time: 0.3299 data_time: 0.0484 loss: 1.8569 03/11 23:05:25 - mmengine - INFO - Epoch(train) [329][1000/1252] lr: 7.1893e-04 eta: 1 day, 8:13:16 time: 0.3696 data_time: 0.0042 loss: 1.9420 03/11 23:05:59 - mmengine - INFO - Epoch(train) [329][1100/1252] lr: 7.1893e-04 eta: 1 day, 8:12:41 time: 0.3123 data_time: 0.0829 loss: 1.7823 03/11 23:06:33 - mmengine - INFO - Epoch(train) [329][1200/1252] lr: 7.1893e-04 eta: 1 day, 8:12:07 time: 0.3462 data_time: 0.0361 loss: 1.8352 03/11 23:06:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:06:50 - mmengine - INFO - Saving checkpoint at 329 epochs 03/11 23:07:14 - mmengine - INFO - Epoch(val) [329][49/49] accuracy/top1: 64.7400 accuracy/top5: 85.6620 03/11 23:07:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:07:51 - mmengine - INFO - Epoch(train) [330][ 100/1252] lr: 7.1893e-04 eta: 1 day, 8:11:16 time: 0.3389 data_time: 0.0483 loss: 1.8841 03/11 23:08:24 - mmengine - INFO - Epoch(train) [330][ 200/1252] lr: 7.1893e-04 eta: 1 day, 8:10:41 time: 0.2772 data_time: 0.0073 loss: 1.7134 03/11 23:08:59 - mmengine - INFO - Epoch(train) [330][ 300/1252] lr: 7.1893e-04 eta: 1 day, 8:10:07 time: 0.3318 data_time: 0.1081 loss: 1.9335 03/11 23:09:33 - mmengine - INFO - Epoch(train) [330][ 400/1252] lr: 7.1893e-04 eta: 1 day, 8:09:32 time: 0.3866 data_time: 0.0032 loss: 1.9217 03/11 23:10:07 - mmengine - INFO - Epoch(train) [330][ 500/1252] lr: 7.1893e-04 eta: 1 day, 8:08:58 time: 0.3021 data_time: 0.0040 loss: 1.8197 03/11 23:10:41 - mmengine - INFO - Epoch(train) [330][ 600/1252] lr: 7.1893e-04 eta: 1 day, 8:08:23 time: 0.3824 data_time: 0.0270 loss: 1.8897 03/11 23:11:14 - mmengine - INFO - Epoch(train) [330][ 700/1252] lr: 7.1893e-04 eta: 1 day, 8:07:49 time: 0.3453 data_time: 0.0214 loss: 1.7644 03/11 23:11:48 - mmengine - INFO - Epoch(train) [330][ 800/1252] lr: 7.1893e-04 eta: 1 day, 8:07:14 time: 0.3016 data_time: 0.0042 loss: 1.8195 03/11 23:12:23 - mmengine - INFO - Epoch(train) [330][ 900/1252] lr: 7.1893e-04 eta: 1 day, 8:06:41 time: 0.3461 data_time: 0.0033 loss: 1.7245 03/11 23:12:57 - mmengine - INFO - Epoch(train) [330][1000/1252] lr: 7.1893e-04 eta: 1 day, 8:06:06 time: 0.3244 data_time: 0.0044 loss: 1.8313 03/11 23:13:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:13:31 - mmengine - INFO - Epoch(train) [330][1100/1252] lr: 7.1893e-04 eta: 1 day, 8:05:31 time: 0.3192 data_time: 0.0138 loss: 1.8887 03/11 23:14:06 - mmengine - INFO - Epoch(train) [330][1200/1252] lr: 7.1893e-04 eta: 1 day, 8:04:58 time: 0.4104 data_time: 0.0039 loss: 1.8698 03/11 23:14:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:14:22 - mmengine - INFO - Saving checkpoint at 330 epochs 03/11 23:14:47 - mmengine - INFO - Epoch(val) [330][49/49] accuracy/top1: 65.3800 accuracy/top5: 86.0680 03/11 23:15:23 - mmengine - INFO - Epoch(train) [331][ 100/1252] lr: 6.9952e-04 eta: 1 day, 8:04:06 time: 0.3499 data_time: 0.0126 loss: 1.7945 03/11 23:15:57 - mmengine - INFO - Epoch(train) [331][ 200/1252] lr: 6.9952e-04 eta: 1 day, 8:03:32 time: 0.3394 data_time: 0.0042 loss: 1.8581 03/11 23:16:31 - mmengine - INFO - Epoch(train) [331][ 300/1252] lr: 6.9952e-04 eta: 1 day, 8:02:57 time: 0.3256 data_time: 0.0037 loss: 1.8542 03/11 23:17:05 - mmengine - INFO - Epoch(train) [331][ 400/1252] lr: 6.9952e-04 eta: 1 day, 8:02:22 time: 0.3238 data_time: 0.0362 loss: 1.8798 03/11 23:17:39 - mmengine - INFO - Epoch(train) [331][ 500/1252] lr: 6.9952e-04 eta: 1 day, 8:01:48 time: 0.4062 data_time: 0.0523 loss: 1.8042 03/11 23:18:13 - mmengine - INFO - Epoch(train) [331][ 600/1252] lr: 6.9952e-04 eta: 1 day, 8:01:13 time: 0.3763 data_time: 0.0034 loss: 1.7474 03/11 23:18:47 - mmengine - INFO - Epoch(train) [331][ 700/1252] lr: 6.9952e-04 eta: 1 day, 8:00:39 time: 0.3601 data_time: 0.0039 loss: 1.8358 03/11 23:19:20 - mmengine - INFO - Epoch(train) [331][ 800/1252] lr: 6.9952e-04 eta: 1 day, 8:00:04 time: 0.3145 data_time: 0.0056 loss: 1.8657 03/11 23:19:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:19:55 - mmengine - INFO - Epoch(train) [331][ 900/1252] lr: 6.9952e-04 eta: 1 day, 7:59:29 time: 0.3054 data_time: 0.0786 loss: 1.7582 03/11 23:20:29 - mmengine - INFO - Epoch(train) [331][1000/1252] lr: 6.9952e-04 eta: 1 day, 7:58:55 time: 0.3994 data_time: 0.0161 loss: 1.8249 03/11 23:21:04 - mmengine - INFO - Epoch(train) [331][1100/1252] lr: 6.9952e-04 eta: 1 day, 7:58:22 time: 0.3157 data_time: 0.0040 loss: 1.8842 03/11 23:21:38 - mmengine - INFO - Epoch(train) [331][1200/1252] lr: 6.9952e-04 eta: 1 day, 7:57:47 time: 0.2788 data_time: 0.0037 loss: 1.8574 03/11 23:21:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:21:54 - mmengine - INFO - Saving checkpoint at 331 epochs 03/11 23:22:19 - mmengine - INFO - Epoch(val) [331][49/49] accuracy/top1: 65.4300 accuracy/top5: 86.1840 03/11 23:22:56 - mmengine - INFO - Epoch(train) [332][ 100/1252] lr: 6.9952e-04 eta: 1 day, 7:56:56 time: 0.3347 data_time: 0.2096 loss: 1.9060 03/11 23:23:30 - mmengine - INFO - Epoch(train) [332][ 200/1252] lr: 6.9952e-04 eta: 1 day, 7:56:22 time: 0.3412 data_time: 0.0046 loss: 1.7959 03/11 23:24:04 - mmengine - INFO - Epoch(train) [332][ 300/1252] lr: 6.9952e-04 eta: 1 day, 7:55:47 time: 0.3263 data_time: 0.0039 loss: 1.7675 03/11 23:24:38 - mmengine - INFO - Epoch(train) [332][ 400/1252] lr: 6.9952e-04 eta: 1 day, 7:55:13 time: 0.3777 data_time: 0.0036 loss: 1.9176 03/11 23:25:12 - mmengine - INFO - Epoch(train) [332][ 500/1252] lr: 6.9952e-04 eta: 1 day, 7:54:39 time: 0.4015 data_time: 0.0058 loss: 1.7273 03/11 23:25:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:25:46 - mmengine - INFO - Epoch(train) [332][ 600/1252] lr: 6.9952e-04 eta: 1 day, 7:54:03 time: 0.3229 data_time: 0.0043 loss: 1.9519 03/11 23:26:20 - mmengine - INFO - Epoch(train) [332][ 700/1252] lr: 6.9952e-04 eta: 1 day, 7:53:29 time: 0.3470 data_time: 0.0034 loss: 1.7918 03/11 23:26:53 - mmengine - INFO - Epoch(train) [332][ 800/1252] lr: 6.9952e-04 eta: 1 day, 7:52:54 time: 0.3241 data_time: 0.0037 loss: 1.9475 03/11 23:27:27 - mmengine - INFO - Epoch(train) [332][ 900/1252] lr: 6.9952e-04 eta: 1 day, 7:52:19 time: 0.2961 data_time: 0.0038 loss: 1.9589 03/11 23:28:02 - mmengine - INFO - Epoch(train) [332][1000/1252] lr: 6.9952e-04 eta: 1 day, 7:51:45 time: 0.3767 data_time: 0.0045 loss: 1.8132 03/11 23:28:36 - mmengine - INFO - Epoch(train) [332][1100/1252] lr: 6.9952e-04 eta: 1 day, 7:51:11 time: 0.3885 data_time: 0.0039 loss: 1.7749 03/11 23:29:09 - mmengine - INFO - Epoch(train) [332][1200/1252] lr: 6.9952e-04 eta: 1 day, 7:50:36 time: 0.2875 data_time: 0.0195 loss: 1.9144 03/11 23:29:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:29:27 - mmengine - INFO - Saving checkpoint at 332 epochs 03/11 23:29:51 - mmengine - INFO - Epoch(val) [332][49/49] accuracy/top1: 64.9920 accuracy/top5: 85.8140 03/11 23:30:28 - mmengine - INFO - Epoch(train) [333][ 100/1252] lr: 6.8063e-04 eta: 1 day, 7:49:46 time: 0.3516 data_time: 0.1512 loss: 1.8390 03/11 23:31:02 - mmengine - INFO - Epoch(train) [333][ 200/1252] lr: 6.8063e-04 eta: 1 day, 7:49:12 time: 0.3435 data_time: 0.0060 loss: 1.7271 03/11 23:31:36 - mmengine - INFO - Epoch(train) [333][ 300/1252] lr: 6.8063e-04 eta: 1 day, 7:48:38 time: 0.3003 data_time: 0.0034 loss: 1.8232 03/11 23:31:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:32:10 - mmengine - INFO - Epoch(train) [333][ 400/1252] lr: 6.8063e-04 eta: 1 day, 7:48:03 time: 0.3313 data_time: 0.0038 loss: 1.8269 03/11 23:32:44 - mmengine - INFO - Epoch(train) [333][ 500/1252] lr: 6.8063e-04 eta: 1 day, 7:47:28 time: 0.3242 data_time: 0.0037 loss: 1.8432 03/11 23:33:19 - mmengine - INFO - Epoch(train) [333][ 600/1252] lr: 6.8063e-04 eta: 1 day, 7:46:55 time: 0.3075 data_time: 0.0265 loss: 1.8566 03/11 23:33:52 - mmengine - INFO - Epoch(train) [333][ 700/1252] lr: 6.8063e-04 eta: 1 day, 7:46:20 time: 0.3152 data_time: 0.0292 loss: 1.9511 03/11 23:34:27 - mmengine - INFO - Epoch(train) [333][ 800/1252] lr: 6.8063e-04 eta: 1 day, 7:45:46 time: 0.3460 data_time: 0.0721 loss: 1.8048 03/11 23:35:02 - mmengine - INFO - Epoch(train) [333][ 900/1252] lr: 6.8063e-04 eta: 1 day, 7:45:12 time: 0.2976 data_time: 0.0343 loss: 1.8959 03/11 23:35:36 - mmengine - INFO - Epoch(train) [333][1000/1252] lr: 6.8063e-04 eta: 1 day, 7:44:38 time: 0.3731 data_time: 0.0040 loss: 1.7826 03/11 23:36:10 - mmengine - INFO - Epoch(train) [333][1100/1252] lr: 6.8063e-04 eta: 1 day, 7:44:03 time: 0.3175 data_time: 0.0040 loss: 1.9173 03/11 23:36:44 - mmengine - INFO - Epoch(train) [333][1200/1252] lr: 6.8063e-04 eta: 1 day, 7:43:28 time: 0.3176 data_time: 0.0034 loss: 1.9210 03/11 23:37:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:37:01 - mmengine - INFO - Saving checkpoint at 333 epochs 03/11 23:37:26 - mmengine - INFO - Epoch(val) [333][49/49] accuracy/top1: 65.1760 accuracy/top5: 85.8760 03/11 23:37:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:38:03 - mmengine - INFO - Epoch(train) [334][ 100/1252] lr: 6.8063e-04 eta: 1 day, 7:42:39 time: 0.3570 data_time: 0.0054 loss: 1.9352 03/11 23:38:37 - mmengine - INFO - Epoch(train) [334][ 200/1252] lr: 6.8063e-04 eta: 1 day, 7:42:04 time: 0.3173 data_time: 0.0037 loss: 1.8680 03/11 23:39:11 - mmengine - INFO - Epoch(train) [334][ 300/1252] lr: 6.8063e-04 eta: 1 day, 7:41:30 time: 0.3878 data_time: 0.2428 loss: 1.8586 03/11 23:39:44 - mmengine - INFO - Epoch(train) [334][ 400/1252] lr: 6.8063e-04 eta: 1 day, 7:40:55 time: 0.3072 data_time: 0.0834 loss: 1.8818 03/11 23:40:19 - mmengine - INFO - Epoch(train) [334][ 500/1252] lr: 6.8063e-04 eta: 1 day, 7:40:21 time: 0.3527 data_time: 0.0040 loss: 1.7566 03/11 23:40:53 - mmengine - INFO - Epoch(train) [334][ 600/1252] lr: 6.8063e-04 eta: 1 day, 7:39:46 time: 0.3154 data_time: 0.0039 loss: 1.7248 03/11 23:41:27 - mmengine - INFO - Epoch(train) [334][ 700/1252] lr: 6.8063e-04 eta: 1 day, 7:39:12 time: 0.3582 data_time: 0.1279 loss: 1.8623 03/11 23:42:01 - mmengine - INFO - Epoch(train) [334][ 800/1252] lr: 6.8063e-04 eta: 1 day, 7:38:38 time: 0.3258 data_time: 0.0074 loss: 1.8448 03/11 23:42:35 - mmengine - INFO - Epoch(train) [334][ 900/1252] lr: 6.8063e-04 eta: 1 day, 7:38:03 time: 0.3507 data_time: 0.1011 loss: 1.8824 03/11 23:43:09 - mmengine - INFO - Epoch(train) [334][1000/1252] lr: 6.8063e-04 eta: 1 day, 7:37:28 time: 0.3064 data_time: 0.0582 loss: 1.8024 03/11 23:43:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:43:43 - mmengine - INFO - Epoch(train) [334][1100/1252] lr: 6.8063e-04 eta: 1 day, 7:36:54 time: 0.3869 data_time: 0.0040 loss: 1.8898 03/11 23:44:17 - mmengine - INFO - Epoch(train) [334][1200/1252] lr: 6.8063e-04 eta: 1 day, 7:36:20 time: 0.3162 data_time: 0.1662 loss: 1.7846 03/11 23:44:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:44:35 - mmengine - INFO - Saving checkpoint at 334 epochs 03/11 23:45:00 - mmengine - INFO - Epoch(val) [334][49/49] accuracy/top1: 64.7020 accuracy/top5: 85.8280 03/11 23:45:37 - mmengine - INFO - Epoch(train) [335][ 100/1252] lr: 6.6225e-04 eta: 1 day, 7:35:29 time: 0.3350 data_time: 0.0404 loss: 1.8470 03/11 23:46:11 - mmengine - INFO - Epoch(train) [335][ 200/1252] lr: 6.6225e-04 eta: 1 day, 7:34:55 time: 0.3262 data_time: 0.0035 loss: 1.8545 03/11 23:46:45 - mmengine - INFO - Epoch(train) [335][ 300/1252] lr: 6.6225e-04 eta: 1 day, 7:34:21 time: 0.4070 data_time: 0.0074 loss: 1.9369 03/11 23:47:19 - mmengine - INFO - Epoch(train) [335][ 400/1252] lr: 6.6225e-04 eta: 1 day, 7:33:46 time: 0.3144 data_time: 0.0040 loss: 1.7534 03/11 23:47:53 - mmengine - INFO - Epoch(train) [335][ 500/1252] lr: 6.6225e-04 eta: 1 day, 7:33:12 time: 0.3753 data_time: 0.0039 loss: 1.7586 03/11 23:48:27 - mmengine - INFO - Epoch(train) [335][ 600/1252] lr: 6.6225e-04 eta: 1 day, 7:32:37 time: 0.3671 data_time: 0.0037 loss: 1.7659 03/11 23:49:01 - mmengine - INFO - Epoch(train) [335][ 700/1252] lr: 6.6225e-04 eta: 1 day, 7:32:03 time: 0.3686 data_time: 0.0036 loss: 1.8295 03/11 23:49:35 - mmengine - INFO - Epoch(train) [335][ 800/1252] lr: 6.6225e-04 eta: 1 day, 7:31:28 time: 0.3681 data_time: 0.0038 loss: 1.8841 03/11 23:49:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:50:09 - mmengine - INFO - Epoch(train) [335][ 900/1252] lr: 6.6225e-04 eta: 1 day, 7:30:54 time: 0.2969 data_time: 0.0487 loss: 1.7983 03/11 23:50:42 - mmengine - INFO - Epoch(train) [335][1000/1252] lr: 6.6225e-04 eta: 1 day, 7:30:19 time: 0.3271 data_time: 0.0208 loss: 1.8437 03/11 23:51:17 - mmengine - INFO - Epoch(train) [335][1100/1252] lr: 6.6225e-04 eta: 1 day, 7:29:44 time: 0.3384 data_time: 0.0037 loss: 1.9375 03/11 23:51:51 - mmengine - INFO - Epoch(train) [335][1200/1252] lr: 6.6225e-04 eta: 1 day, 7:29:10 time: 0.3804 data_time: 0.0785 loss: 1.8731 03/11 23:52:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:52:08 - mmengine - INFO - Saving checkpoint at 335 epochs 03/11 23:52:33 - mmengine - INFO - Epoch(val) [335][49/49] accuracy/top1: 64.7740 accuracy/top5: 85.7180 03/11 23:53:09 - mmengine - INFO - Epoch(train) [336][ 100/1252] lr: 6.6225e-04 eta: 1 day, 7:28:19 time: 0.3004 data_time: 0.0046 loss: 1.9651 03/11 23:53:44 - mmengine - INFO - Epoch(train) [336][ 200/1252] lr: 6.6225e-04 eta: 1 day, 7:27:45 time: 0.3740 data_time: 0.0036 loss: 1.7681 03/11 23:54:17 - mmengine - INFO - Epoch(train) [336][ 300/1252] lr: 6.6225e-04 eta: 1 day, 7:27:10 time: 0.3026 data_time: 0.0037 loss: 1.8079 03/11 23:54:51 - mmengine - INFO - Epoch(train) [336][ 400/1252] lr: 6.6225e-04 eta: 1 day, 7:26:35 time: 0.3382 data_time: 0.1314 loss: 1.8331 03/11 23:55:25 - mmengine - INFO - Epoch(train) [336][ 500/1252] lr: 6.6225e-04 eta: 1 day, 7:26:00 time: 0.2842 data_time: 0.0567 loss: 1.9250 03/11 23:55:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:55:59 - mmengine - INFO - Epoch(train) [336][ 600/1252] lr: 6.6225e-04 eta: 1 day, 7:25:26 time: 0.3189 data_time: 0.1637 loss: 1.8430 03/11 23:56:32 - mmengine - INFO - Epoch(train) [336][ 700/1252] lr: 6.6225e-04 eta: 1 day, 7:24:51 time: 0.3110 data_time: 0.0194 loss: 1.9073 03/11 23:57:07 - mmengine - INFO - Epoch(train) [336][ 800/1252] lr: 6.6225e-04 eta: 1 day, 7:24:17 time: 0.2971 data_time: 0.0042 loss: 1.8736 03/11 23:57:41 - mmengine - INFO - Epoch(train) [336][ 900/1252] lr: 6.6225e-04 eta: 1 day, 7:23:43 time: 0.3813 data_time: 0.0035 loss: 1.8552 03/11 23:58:15 - mmengine - INFO - Epoch(train) [336][1000/1252] lr: 6.6225e-04 eta: 1 day, 7:23:09 time: 0.2779 data_time: 0.0037 loss: 1.8953 03/11 23:58:49 - mmengine - INFO - Epoch(train) [336][1100/1252] lr: 6.6225e-04 eta: 1 day, 7:22:34 time: 0.3437 data_time: 0.0185 loss: 1.8334 03/11 23:59:24 - mmengine - INFO - Epoch(train) [336][1200/1252] lr: 6.6225e-04 eta: 1 day, 7:22:00 time: 0.3597 data_time: 0.1266 loss: 1.8054 03/11 23:59:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/11 23:59:41 - mmengine - INFO - Saving checkpoint at 336 epochs 03/12 00:00:06 - mmengine - INFO - Epoch(val) [336][49/49] accuracy/top1: 65.0560 accuracy/top5: 85.9280 03/12 00:00:43 - mmengine - INFO - Epoch(train) [337][ 100/1252] lr: 6.4437e-04 eta: 1 day, 7:21:09 time: 0.3781 data_time: 0.2123 loss: 1.8384 03/12 00:01:17 - mmengine - INFO - Epoch(train) [337][ 200/1252] lr: 6.4437e-04 eta: 1 day, 7:20:36 time: 0.3199 data_time: 0.0040 loss: 1.6928 03/12 00:01:51 - mmengine - INFO - Epoch(train) [337][ 300/1252] lr: 6.4437e-04 eta: 1 day, 7:20:01 time: 0.3169 data_time: 0.0041 loss: 1.8977 03/12 00:02:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:02:25 - mmengine - INFO - Epoch(train) [337][ 400/1252] lr: 6.4437e-04 eta: 1 day, 7:19:26 time: 0.3269 data_time: 0.0040 loss: 1.8187 03/12 00:02:59 - mmengine - INFO - Epoch(train) [337][ 500/1252] lr: 6.4437e-04 eta: 1 day, 7:18:52 time: 0.3477 data_time: 0.0044 loss: 1.8763 03/12 00:03:32 - mmengine - INFO - Epoch(train) [337][ 600/1252] lr: 6.4437e-04 eta: 1 day, 7:18:17 time: 0.3279 data_time: 0.0166 loss: 1.9589 03/12 00:04:07 - mmengine - INFO - Epoch(train) [337][ 700/1252] lr: 6.4437e-04 eta: 1 day, 7:17:43 time: 0.3899 data_time: 0.0760 loss: 1.8072 03/12 00:04:41 - mmengine - INFO - Epoch(train) [337][ 800/1252] lr: 6.4437e-04 eta: 1 day, 7:17:08 time: 0.3283 data_time: 0.0389 loss: 1.8222 03/12 00:05:16 - mmengine - INFO - Epoch(train) [337][ 900/1252] lr: 6.4437e-04 eta: 1 day, 7:16:35 time: 0.4214 data_time: 0.0043 loss: 1.7944 03/12 00:05:49 - mmengine - INFO - Epoch(train) [337][1000/1252] lr: 6.4437e-04 eta: 1 day, 7:16:00 time: 0.3087 data_time: 0.0114 loss: 1.6688 03/12 00:06:23 - mmengine - INFO - Epoch(train) [337][1100/1252] lr: 6.4437e-04 eta: 1 day, 7:15:25 time: 0.3772 data_time: 0.1997 loss: 1.7606 03/12 00:06:57 - mmengine - INFO - Epoch(train) [337][1200/1252] lr: 6.4437e-04 eta: 1 day, 7:14:50 time: 0.3280 data_time: 0.1679 loss: 1.8274 03/12 00:07:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:07:15 - mmengine - INFO - Saving checkpoint at 337 epochs 03/12 00:07:40 - mmengine - INFO - Epoch(val) [337][49/49] accuracy/top1: 65.0040 accuracy/top5: 85.9900 03/12 00:08:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:08:16 - mmengine - INFO - Epoch(train) [338][ 100/1252] lr: 6.4437e-04 eta: 1 day, 7:14:00 time: 0.3001 data_time: 0.0244 loss: 1.9278 03/12 00:08:50 - mmengine - INFO - Epoch(train) [338][ 200/1252] lr: 6.4437e-04 eta: 1 day, 7:13:26 time: 0.3266 data_time: 0.0037 loss: 1.8256 03/12 00:09:24 - mmengine - INFO - Epoch(train) [338][ 300/1252] lr: 6.4437e-04 eta: 1 day, 7:12:52 time: 0.3678 data_time: 0.0036 loss: 1.8832 03/12 00:09:59 - mmengine - INFO - Epoch(train) [338][ 400/1252] lr: 6.4437e-04 eta: 1 day, 7:12:18 time: 0.3470 data_time: 0.0041 loss: 1.7751 03/12 00:10:33 - mmengine - INFO - Epoch(train) [338][ 500/1252] lr: 6.4437e-04 eta: 1 day, 7:11:44 time: 0.3161 data_time: 0.0035 loss: 1.8564 03/12 00:11:07 - mmengine - INFO - Epoch(train) [338][ 600/1252] lr: 6.4437e-04 eta: 1 day, 7:11:09 time: 0.2889 data_time: 0.0039 loss: 1.7460 03/12 00:11:41 - mmengine - INFO - Epoch(train) [338][ 700/1252] lr: 6.4437e-04 eta: 1 day, 7:10:35 time: 0.3470 data_time: 0.0037 loss: 1.8973 03/12 00:12:15 - mmengine - INFO - Epoch(train) [338][ 800/1252] lr: 6.4437e-04 eta: 1 day, 7:10:00 time: 0.2958 data_time: 0.0036 loss: 1.9073 03/12 00:12:50 - mmengine - INFO - Epoch(train) [338][ 900/1252] lr: 6.4437e-04 eta: 1 day, 7:09:26 time: 0.3705 data_time: 0.0227 loss: 1.8804 03/12 00:13:23 - mmengine - INFO - Epoch(train) [338][1000/1252] lr: 6.4437e-04 eta: 1 day, 7:08:51 time: 0.3165 data_time: 0.0035 loss: 1.9769 03/12 00:13:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:13:57 - mmengine - INFO - Epoch(train) [338][1100/1252] lr: 6.4437e-04 eta: 1 day, 7:08:16 time: 0.3275 data_time: 0.0040 loss: 1.7795 03/12 00:14:31 - mmengine - INFO - Epoch(train) [338][1200/1252] lr: 6.4437e-04 eta: 1 day, 7:07:42 time: 0.3558 data_time: 0.0534 loss: 1.7740 03/12 00:14:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:14:48 - mmengine - INFO - Saving checkpoint at 338 epochs 03/12 00:15:12 - mmengine - INFO - Epoch(val) [338][49/49] accuracy/top1: 64.7940 accuracy/top5: 85.7120 03/12 00:15:49 - mmengine - INFO - Epoch(train) [339][ 100/1252] lr: 6.2697e-04 eta: 1 day, 7:06:51 time: 0.3431 data_time: 0.0481 loss: 1.8990 03/12 00:16:23 - mmengine - INFO - Epoch(train) [339][ 200/1252] lr: 6.2697e-04 eta: 1 day, 7:06:17 time: 0.3427 data_time: 0.0043 loss: 1.8603 03/12 00:16:56 - mmengine - INFO - Epoch(train) [339][ 300/1252] lr: 6.2697e-04 eta: 1 day, 7:05:42 time: 0.3118 data_time: 0.0043 loss: 1.9086 03/12 00:17:30 - mmengine - INFO - Epoch(train) [339][ 400/1252] lr: 6.2697e-04 eta: 1 day, 7:05:07 time: 0.3191 data_time: 0.0042 loss: 1.9067 03/12 00:18:04 - mmengine - INFO - Epoch(train) [339][ 500/1252] lr: 6.2697e-04 eta: 1 day, 7:04:32 time: 0.2937 data_time: 0.0042 loss: 1.7690 03/12 00:18:39 - mmengine - INFO - Epoch(train) [339][ 600/1252] lr: 6.2697e-04 eta: 1 day, 7:03:59 time: 0.3573 data_time: 0.0039 loss: 1.7990 03/12 00:19:12 - mmengine - INFO - Epoch(train) [339][ 700/1252] lr: 6.2697e-04 eta: 1 day, 7:03:23 time: 0.3140 data_time: 0.0611 loss: 1.8864 03/12 00:19:46 - mmengine - INFO - Epoch(train) [339][ 800/1252] lr: 6.2697e-04 eta: 1 day, 7:02:49 time: 0.2966 data_time: 0.1762 loss: 1.8344 03/12 00:19:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:20:21 - mmengine - INFO - Epoch(train) [339][ 900/1252] lr: 6.2697e-04 eta: 1 day, 7:02:15 time: 0.3371 data_time: 0.2103 loss: 1.8036 03/12 00:20:54 - mmengine - INFO - Epoch(train) [339][1000/1252] lr: 6.2697e-04 eta: 1 day, 7:01:40 time: 0.3799 data_time: 0.0036 loss: 1.8538 03/12 00:21:28 - mmengine - INFO - Epoch(train) [339][1100/1252] lr: 6.2697e-04 eta: 1 day, 7:01:06 time: 0.3060 data_time: 0.1504 loss: 1.8179 03/12 00:22:02 - mmengine - INFO - Epoch(train) [339][1200/1252] lr: 6.2697e-04 eta: 1 day, 7:00:31 time: 0.3615 data_time: 0.0036 loss: 1.8882 03/12 00:22:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:22:19 - mmengine - INFO - Saving checkpoint at 339 epochs 03/12 00:22:43 - mmengine - INFO - Epoch(val) [339][49/49] accuracy/top1: 65.5600 accuracy/top5: 86.2000 03/12 00:23:21 - mmengine - INFO - Epoch(train) [340][ 100/1252] lr: 6.2697e-04 eta: 1 day, 6:59:41 time: 0.3022 data_time: 0.0038 loss: 1.7455 03/12 00:23:54 - mmengine - INFO - Epoch(train) [340][ 200/1252] lr: 6.2697e-04 eta: 1 day, 6:59:06 time: 0.3443 data_time: 0.0036 loss: 1.9057 03/12 00:24:28 - mmengine - INFO - Epoch(train) [340][ 300/1252] lr: 6.2697e-04 eta: 1 day, 6:58:31 time: 0.3392 data_time: 0.0035 loss: 1.7378 03/12 00:25:02 - mmengine - INFO - Epoch(train) [340][ 400/1252] lr: 6.2697e-04 eta: 1 day, 6:57:57 time: 0.3926 data_time: 0.0080 loss: 1.7784 03/12 00:25:35 - mmengine - INFO - Epoch(train) [340][ 500/1252] lr: 6.2697e-04 eta: 1 day, 6:57:22 time: 0.3079 data_time: 0.1255 loss: 1.7326 03/12 00:26:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:26:10 - mmengine - INFO - Epoch(train) [340][ 600/1252] lr: 6.2697e-04 eta: 1 day, 6:56:48 time: 0.3425 data_time: 0.0040 loss: 1.8769 03/12 00:26:44 - mmengine - INFO - Epoch(train) [340][ 700/1252] lr: 6.2697e-04 eta: 1 day, 6:56:14 time: 0.3704 data_time: 0.0034 loss: 1.8055 03/12 00:27:18 - mmengine - INFO - Epoch(train) [340][ 800/1252] lr: 6.2697e-04 eta: 1 day, 6:55:39 time: 0.3648 data_time: 0.0036 loss: 1.8038 03/12 00:27:52 - mmengine - INFO - Epoch(train) [340][ 900/1252] lr: 6.2697e-04 eta: 1 day, 6:55:05 time: 0.3391 data_time: 0.0729 loss: 1.8480 03/12 00:28:26 - mmengine - INFO - Epoch(train) [340][1000/1252] lr: 6.2697e-04 eta: 1 day, 6:54:30 time: 0.3001 data_time: 0.0039 loss: 1.8013 03/12 00:29:00 - mmengine - INFO - Epoch(train) [340][1100/1252] lr: 6.2697e-04 eta: 1 day, 6:53:56 time: 0.3096 data_time: 0.0049 loss: 1.9476 03/12 00:29:34 - mmengine - INFO - Epoch(train) [340][1200/1252] lr: 6.2697e-04 eta: 1 day, 6:53:21 time: 0.3105 data_time: 0.0332 loss: 1.8691 03/12 00:29:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:29:51 - mmengine - INFO - Saving checkpoint at 340 epochs 03/12 00:30:16 - mmengine - INFO - Epoch(val) [340][49/49] accuracy/top1: 65.6180 accuracy/top5: 86.1800 03/12 00:30:53 - mmengine - INFO - Epoch(train) [341][ 100/1252] lr: 6.1005e-04 eta: 1 day, 6:52:31 time: 0.3951 data_time: 0.0040 loss: 1.7452 03/12 00:31:27 - mmengine - INFO - Epoch(train) [341][ 200/1252] lr: 6.1005e-04 eta: 1 day, 6:51:57 time: 0.3984 data_time: 0.0038 loss: 1.7328 03/12 00:32:02 - mmengine - INFO - Epoch(train) [341][ 300/1252] lr: 6.1005e-04 eta: 1 day, 6:51:23 time: 0.3008 data_time: 0.0043 loss: 1.7839 03/12 00:32:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:32:35 - mmengine - INFO - Epoch(train) [341][ 400/1252] lr: 6.1005e-04 eta: 1 day, 6:50:48 time: 0.3606 data_time: 0.0037 loss: 1.8518 03/12 00:33:09 - mmengine - INFO - Epoch(train) [341][ 500/1252] lr: 6.1005e-04 eta: 1 day, 6:50:13 time: 0.2990 data_time: 0.0039 loss: 1.8217 03/12 00:33:44 - mmengine - INFO - Epoch(train) [341][ 600/1252] lr: 6.1005e-04 eta: 1 day, 6:49:39 time: 0.3974 data_time: 0.0483 loss: 1.8406 03/12 00:34:17 - mmengine - INFO - Epoch(train) [341][ 700/1252] lr: 6.1005e-04 eta: 1 day, 6:49:04 time: 0.2841 data_time: 0.0483 loss: 1.8104 03/12 00:34:51 - mmengine - INFO - Epoch(train) [341][ 800/1252] lr: 6.1005e-04 eta: 1 day, 6:48:30 time: 0.3471 data_time: 0.1103 loss: 1.8426 03/12 00:35:26 - mmengine - INFO - Epoch(train) [341][ 900/1252] lr: 6.1005e-04 eta: 1 day, 6:47:56 time: 0.4489 data_time: 0.0800 loss: 1.8319 03/12 00:36:00 - mmengine - INFO - Epoch(train) [341][1000/1252] lr: 6.1005e-04 eta: 1 day, 6:47:22 time: 0.3596 data_time: 0.0039 loss: 1.8498 03/12 00:36:34 - mmengine - INFO - Epoch(train) [341][1100/1252] lr: 6.1005e-04 eta: 1 day, 6:46:47 time: 0.3590 data_time: 0.0155 loss: 1.7695 03/12 00:37:07 - mmengine - INFO - Epoch(train) [341][1200/1252] lr: 6.1005e-04 eta: 1 day, 6:46:12 time: 0.3008 data_time: 0.0037 loss: 1.8824 03/12 00:37:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:37:25 - mmengine - INFO - Saving checkpoint at 341 epochs 03/12 00:37:49 - mmengine - INFO - Epoch(val) [341][49/49] accuracy/top1: 65.2800 accuracy/top5: 86.2600 03/12 00:38:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:38:26 - mmengine - INFO - Epoch(train) [342][ 100/1252] lr: 6.1005e-04 eta: 1 day, 6:45:22 time: 0.3453 data_time: 0.0900 loss: 1.9413 03/12 00:39:00 - mmengine - INFO - Epoch(train) [342][ 200/1252] lr: 6.1005e-04 eta: 1 day, 6:44:47 time: 0.3127 data_time: 0.0036 loss: 1.8733 03/12 00:39:34 - mmengine - INFO - Epoch(train) [342][ 300/1252] lr: 6.1005e-04 eta: 1 day, 6:44:13 time: 0.2807 data_time: 0.0395 loss: 1.7829 03/12 00:40:10 - mmengine - INFO - Epoch(train) [342][ 400/1252] lr: 6.1005e-04 eta: 1 day, 6:43:40 time: 0.3672 data_time: 0.0201 loss: 1.8199 03/12 00:40:44 - mmengine - INFO - Epoch(train) [342][ 500/1252] lr: 6.1005e-04 eta: 1 day, 6:43:06 time: 0.3221 data_time: 0.1824 loss: 1.8464 03/12 00:41:18 - mmengine - INFO - Epoch(train) [342][ 600/1252] lr: 6.1005e-04 eta: 1 day, 6:42:31 time: 0.3786 data_time: 0.0038 loss: 1.8431 03/12 00:41:52 - mmengine - INFO - Epoch(train) [342][ 700/1252] lr: 6.1005e-04 eta: 1 day, 6:41:57 time: 0.3330 data_time: 0.0052 loss: 1.8777 03/12 00:42:26 - mmengine - INFO - Epoch(train) [342][ 800/1252] lr: 6.1005e-04 eta: 1 day, 6:41:22 time: 0.3170 data_time: 0.0037 loss: 1.8059 03/12 00:42:59 - mmengine - INFO - Epoch(train) [342][ 900/1252] lr: 6.1005e-04 eta: 1 day, 6:40:47 time: 0.3170 data_time: 0.0039 loss: 1.9141 03/12 00:43:34 - mmengine - INFO - Epoch(train) [342][1000/1252] lr: 6.1005e-04 eta: 1 day, 6:40:13 time: 0.3294 data_time: 0.0041 loss: 1.7862 03/12 00:43:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:44:07 - mmengine - INFO - Epoch(train) [342][1100/1252] lr: 6.1005e-04 eta: 1 day, 6:39:38 time: 0.3110 data_time: 0.0039 loss: 1.8687 03/12 00:44:42 - mmengine - INFO - Epoch(train) [342][1200/1252] lr: 6.1005e-04 eta: 1 day, 6:39:04 time: 0.3699 data_time: 0.0035 loss: 1.9094 03/12 00:44:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:44:58 - mmengine - INFO - Saving checkpoint at 342 epochs 03/12 00:45:22 - mmengine - INFO - Epoch(val) [342][49/49] accuracy/top1: 65.6860 accuracy/top5: 86.2820 03/12 00:45:59 - mmengine - INFO - Epoch(train) [343][ 100/1252] lr: 5.9358e-04 eta: 1 day, 6:38:13 time: 0.3889 data_time: 0.0795 loss: 1.8819 03/12 00:46:33 - mmengine - INFO - Epoch(train) [343][ 200/1252] lr: 5.9358e-04 eta: 1 day, 6:37:39 time: 0.3687 data_time: 0.0654 loss: 1.7121 03/12 00:47:07 - mmengine - INFO - Epoch(train) [343][ 300/1252] lr: 5.9358e-04 eta: 1 day, 6:37:04 time: 0.3124 data_time: 0.1545 loss: 1.9098 03/12 00:47:41 - mmengine - INFO - Epoch(train) [343][ 400/1252] lr: 5.9358e-04 eta: 1 day, 6:36:29 time: 0.3172 data_time: 0.0666 loss: 1.7868 03/12 00:48:14 - mmengine - INFO - Epoch(train) [343][ 500/1252] lr: 5.9358e-04 eta: 1 day, 6:35:54 time: 0.3365 data_time: 0.0038 loss: 1.8537 03/12 00:48:49 - mmengine - INFO - Epoch(train) [343][ 600/1252] lr: 5.9358e-04 eta: 1 day, 6:35:20 time: 0.3468 data_time: 0.0039 loss: 1.7711 03/12 00:49:23 - mmengine - INFO - Epoch(train) [343][ 700/1252] lr: 5.9358e-04 eta: 1 day, 6:34:46 time: 0.3988 data_time: 0.0740 loss: 1.8135 03/12 00:49:57 - mmengine - INFO - Epoch(train) [343][ 800/1252] lr: 5.9358e-04 eta: 1 day, 6:34:12 time: 0.3990 data_time: 0.0038 loss: 1.7590 03/12 00:50:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:50:31 - mmengine - INFO - Epoch(train) [343][ 900/1252] lr: 5.9358e-04 eta: 1 day, 6:33:37 time: 0.3499 data_time: 0.2354 loss: 1.9624 03/12 00:51:05 - mmengine - INFO - Epoch(train) [343][1000/1252] lr: 5.9358e-04 eta: 1 day, 6:33:02 time: 0.2996 data_time: 0.0039 loss: 1.8146 03/12 00:51:39 - mmengine - INFO - Epoch(train) [343][1100/1252] lr: 5.9358e-04 eta: 1 day, 6:32:28 time: 0.3465 data_time: 0.0042 loss: 1.7771 03/12 00:52:13 - mmengine - INFO - Epoch(train) [343][1200/1252] lr: 5.9358e-04 eta: 1 day, 6:31:54 time: 0.4134 data_time: 0.0039 loss: 1.7761 03/12 00:52:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:52:30 - mmengine - INFO - Saving checkpoint at 343 epochs 03/12 00:52:55 - mmengine - INFO - Epoch(val) [343][49/49] accuracy/top1: 65.5680 accuracy/top5: 86.3700 03/12 00:53:32 - mmengine - INFO - Epoch(train) [344][ 100/1252] lr: 5.9358e-04 eta: 1 day, 6:31:03 time: 0.3289 data_time: 0.0049 loss: 1.7806 03/12 00:54:07 - mmengine - INFO - Epoch(train) [344][ 200/1252] lr: 5.9358e-04 eta: 1 day, 6:30:30 time: 0.3321 data_time: 0.0040 loss: 1.8416 03/12 00:54:41 - mmengine - INFO - Epoch(train) [344][ 300/1252] lr: 5.9358e-04 eta: 1 day, 6:29:55 time: 0.3738 data_time: 0.0036 loss: 1.7965 03/12 00:55:14 - mmengine - INFO - Epoch(train) [344][ 400/1252] lr: 5.9358e-04 eta: 1 day, 6:29:20 time: 0.3101 data_time: 0.0044 loss: 1.8347 03/12 00:55:48 - mmengine - INFO - Epoch(train) [344][ 500/1252] lr: 5.9358e-04 eta: 1 day, 6:28:46 time: 0.3609 data_time: 0.0038 loss: 1.9029 03/12 00:56:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 00:56:23 - mmengine - INFO - Epoch(train) [344][ 600/1252] lr: 5.9358e-04 eta: 1 day, 6:28:12 time: 0.3715 data_time: 0.0035 loss: 1.8433 03/12 00:56:56 - mmengine - INFO - Epoch(train) [344][ 700/1252] lr: 5.9358e-04 eta: 1 day, 6:27:37 time: 0.3480 data_time: 0.0632 loss: 1.7671 03/12 00:57:30 - mmengine - INFO - Epoch(train) [344][ 800/1252] lr: 5.9358e-04 eta: 1 day, 6:27:02 time: 0.3514 data_time: 0.0655 loss: 1.8366 03/12 00:58:04 - mmengine - INFO - Epoch(train) [344][ 900/1252] lr: 5.9358e-04 eta: 1 day, 6:26:27 time: 0.3581 data_time: 0.0349 loss: 1.9339 03/12 00:58:37 - mmengine - INFO - Epoch(train) [344][1000/1252] lr: 5.9358e-04 eta: 1 day, 6:25:53 time: 0.3085 data_time: 0.0042 loss: 1.7924 03/12 00:59:12 - mmengine - INFO - Epoch(train) [344][1100/1252] lr: 5.9358e-04 eta: 1 day, 6:25:19 time: 0.3185 data_time: 0.0685 loss: 1.8228 03/12 00:59:45 - mmengine - INFO - Epoch(train) [344][1200/1252] lr: 5.9358e-04 eta: 1 day, 6:24:43 time: 0.3103 data_time: 0.1312 loss: 1.8533 03/12 01:00:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:00:03 - mmengine - INFO - Saving checkpoint at 344 epochs 03/12 01:00:27 - mmengine - INFO - Epoch(val) [344][49/49] accuracy/top1: 65.3040 accuracy/top5: 85.9960 03/12 01:01:05 - mmengine - INFO - Epoch(train) [345][ 100/1252] lr: 5.7755e-04 eta: 1 day, 6:23:54 time: 0.3322 data_time: 0.0042 loss: 1.8623 03/12 01:01:38 - mmengine - INFO - Epoch(train) [345][ 200/1252] lr: 5.7755e-04 eta: 1 day, 6:23:19 time: 0.3585 data_time: 0.1351 loss: 1.9307 03/12 01:02:12 - mmengine - INFO - Epoch(train) [345][ 300/1252] lr: 5.7755e-04 eta: 1 day, 6:22:45 time: 0.3404 data_time: 0.0037 loss: 1.8535 03/12 01:02:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:02:47 - mmengine - INFO - Epoch(train) [345][ 400/1252] lr: 5.7755e-04 eta: 1 day, 6:22:11 time: 0.3112 data_time: 0.0042 loss: 1.7827 03/12 01:03:21 - mmengine - INFO - Epoch(train) [345][ 500/1252] lr: 5.7755e-04 eta: 1 day, 6:21:36 time: 0.3124 data_time: 0.0040 loss: 1.8265 03/12 01:03:56 - mmengine - INFO - Epoch(train) [345][ 600/1252] lr: 5.7755e-04 eta: 1 day, 6:21:03 time: 0.4162 data_time: 0.0037 loss: 1.8875 03/12 01:04:30 - mmengine - INFO - Epoch(train) [345][ 700/1252] lr: 5.7755e-04 eta: 1 day, 6:20:28 time: 0.3398 data_time: 0.0038 loss: 1.9010 03/12 01:05:03 - mmengine - INFO - Epoch(train) [345][ 800/1252] lr: 5.7755e-04 eta: 1 day, 6:19:53 time: 0.2861 data_time: 0.0041 loss: 1.7950 03/12 01:05:38 - mmengine - INFO - Epoch(train) [345][ 900/1252] lr: 5.7755e-04 eta: 1 day, 6:19:19 time: 0.2941 data_time: 0.0040 loss: 1.8182 03/12 01:06:11 - mmengine - INFO - Epoch(train) [345][1000/1252] lr: 5.7755e-04 eta: 1 day, 6:18:44 time: 0.3299 data_time: 0.1285 loss: 1.9074 03/12 01:06:45 - mmengine - INFO - Epoch(train) [345][1100/1252] lr: 5.7755e-04 eta: 1 day, 6:18:09 time: 0.3401 data_time: 0.0043 loss: 1.8508 03/12 01:07:19 - mmengine - INFO - Epoch(train) [345][1200/1252] lr: 5.7755e-04 eta: 1 day, 6:17:35 time: 0.3342 data_time: 0.0039 loss: 1.8957 03/12 01:07:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:07:37 - mmengine - INFO - Saving checkpoint at 345 epochs 03/12 01:08:01 - mmengine - INFO - Epoch(val) [345][49/49] accuracy/top1: 65.4440 accuracy/top5: 86.1320 03/12 01:08:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:08:38 - mmengine - INFO - Epoch(train) [346][ 100/1252] lr: 5.7755e-04 eta: 1 day, 6:16:45 time: 0.3441 data_time: 0.0038 loss: 1.8584 03/12 01:09:12 - mmengine - INFO - Epoch(train) [346][ 200/1252] lr: 5.7755e-04 eta: 1 day, 6:16:11 time: 0.2801 data_time: 0.0037 loss: 1.7405 03/12 01:09:46 - mmengine - INFO - Epoch(train) [346][ 300/1252] lr: 5.7755e-04 eta: 1 day, 6:15:36 time: 0.3401 data_time: 0.1437 loss: 1.8089 03/12 01:10:19 - mmengine - INFO - Epoch(train) [346][ 400/1252] lr: 5.7755e-04 eta: 1 day, 6:15:01 time: 0.3474 data_time: 0.0044 loss: 1.8306 03/12 01:10:54 - mmengine - INFO - Epoch(train) [346][ 500/1252] lr: 5.7755e-04 eta: 1 day, 6:14:27 time: 0.3034 data_time: 0.0043 loss: 1.7796 03/12 01:11:27 - mmengine - INFO - Epoch(train) [346][ 600/1252] lr: 5.7755e-04 eta: 1 day, 6:13:52 time: 0.2981 data_time: 0.0689 loss: 1.9008 03/12 01:12:02 - mmengine - INFO - Epoch(train) [346][ 700/1252] lr: 5.7755e-04 eta: 1 day, 6:13:18 time: 0.3898 data_time: 0.0177 loss: 1.8482 03/12 01:12:35 - mmengine - INFO - Epoch(train) [346][ 800/1252] lr: 5.7755e-04 eta: 1 day, 6:12:43 time: 0.2907 data_time: 0.0336 loss: 1.7899 03/12 01:13:10 - mmengine - INFO - Epoch(train) [346][ 900/1252] lr: 5.7755e-04 eta: 1 day, 6:12:09 time: 0.4086 data_time: 0.1912 loss: 1.9989 03/12 01:13:43 - mmengine - INFO - Epoch(train) [346][1000/1252] lr: 5.7755e-04 eta: 1 day, 6:11:34 time: 0.3027 data_time: 0.1594 loss: 1.8935 03/12 01:14:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:14:17 - mmengine - INFO - Epoch(train) [346][1100/1252] lr: 5.7755e-04 eta: 1 day, 6:11:00 time: 0.3411 data_time: 0.1260 loss: 1.8947 03/12 01:14:52 - mmengine - INFO - Epoch(train) [346][1200/1252] lr: 5.7755e-04 eta: 1 day, 6:10:26 time: 0.3953 data_time: 0.0740 loss: 1.7412 03/12 01:15:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:15:09 - mmengine - INFO - Saving checkpoint at 346 epochs 03/12 01:15:33 - mmengine - INFO - Epoch(val) [346][49/49] accuracy/top1: 64.8980 accuracy/top5: 85.9560 03/12 01:16:10 - mmengine - INFO - Epoch(train) [347][ 100/1252] lr: 5.6195e-04 eta: 1 day, 6:09:35 time: 0.3371 data_time: 0.1393 loss: 1.7730 03/12 01:16:44 - mmengine - INFO - Epoch(train) [347][ 200/1252] lr: 5.6195e-04 eta: 1 day, 6:09:00 time: 0.3149 data_time: 0.0038 loss: 1.7892 03/12 01:17:18 - mmengine - INFO - Epoch(train) [347][ 300/1252] lr: 5.6195e-04 eta: 1 day, 6:08:26 time: 0.3466 data_time: 0.0412 loss: 1.8242 03/12 01:17:52 - mmengine - INFO - Epoch(train) [347][ 400/1252] lr: 5.6195e-04 eta: 1 day, 6:07:52 time: 0.3458 data_time: 0.0036 loss: 1.7813 03/12 01:18:26 - mmengine - INFO - Epoch(train) [347][ 500/1252] lr: 5.6195e-04 eta: 1 day, 6:07:17 time: 0.2909 data_time: 0.0038 loss: 1.9241 03/12 01:19:00 - mmengine - INFO - Epoch(train) [347][ 600/1252] lr: 5.6195e-04 eta: 1 day, 6:06:43 time: 0.3140 data_time: 0.0042 loss: 1.8332 03/12 01:19:34 - mmengine - INFO - Epoch(train) [347][ 700/1252] lr: 5.6195e-04 eta: 1 day, 6:06:08 time: 0.3108 data_time: 0.0234 loss: 1.8418 03/12 01:20:08 - mmengine - INFO - Epoch(train) [347][ 800/1252] lr: 5.6195e-04 eta: 1 day, 6:05:33 time: 0.3765 data_time: 0.2017 loss: 1.8120 03/12 01:20:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:20:42 - mmengine - INFO - Epoch(train) [347][ 900/1252] lr: 5.6195e-04 eta: 1 day, 6:04:59 time: 0.3797 data_time: 0.1175 loss: 1.8196 03/12 01:21:16 - mmengine - INFO - Epoch(train) [347][1000/1252] lr: 5.6195e-04 eta: 1 day, 6:04:25 time: 0.3203 data_time: 0.1407 loss: 1.8199 03/12 01:21:51 - mmengine - INFO - Epoch(train) [347][1100/1252] lr: 5.6195e-04 eta: 1 day, 6:03:51 time: 0.3553 data_time: 0.0036 loss: 1.7767 03/12 01:22:25 - mmengine - INFO - Epoch(train) [347][1200/1252] lr: 5.6195e-04 eta: 1 day, 6:03:17 time: 0.3854 data_time: 0.0041 loss: 1.7511 03/12 01:22:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:22:42 - mmengine - INFO - Saving checkpoint at 347 epochs 03/12 01:23:07 - mmengine - INFO - Epoch(val) [347][49/49] accuracy/top1: 65.0500 accuracy/top5: 85.9000 03/12 01:23:43 - mmengine - INFO - Epoch(train) [348][ 100/1252] lr: 5.6195e-04 eta: 1 day, 6:02:26 time: 0.3217 data_time: 0.0038 loss: 1.8666 03/12 01:24:17 - mmengine - INFO - Epoch(train) [348][ 200/1252] lr: 5.6195e-04 eta: 1 day, 6:01:51 time: 0.3152 data_time: 0.1719 loss: 1.8015 03/12 01:24:52 - mmengine - INFO - Epoch(train) [348][ 300/1252] lr: 5.6195e-04 eta: 1 day, 6:01:18 time: 0.3609 data_time: 0.0824 loss: 1.8597 03/12 01:25:26 - mmengine - INFO - Epoch(train) [348][ 400/1252] lr: 5.6195e-04 eta: 1 day, 6:00:43 time: 0.3798 data_time: 0.0948 loss: 1.8592 03/12 01:26:00 - mmengine - INFO - Epoch(train) [348][ 500/1252] lr: 5.6195e-04 eta: 1 day, 6:00:09 time: 0.3486 data_time: 0.0036 loss: 1.8479 03/12 01:26:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:26:34 - mmengine - INFO - Epoch(train) [348][ 600/1252] lr: 5.6195e-04 eta: 1 day, 5:59:34 time: 0.3108 data_time: 0.0044 loss: 1.9670 03/12 01:27:08 - mmengine - INFO - Epoch(train) [348][ 700/1252] lr: 5.6195e-04 eta: 1 day, 5:59:00 time: 0.3620 data_time: 0.0279 loss: 1.7771 03/12 01:27:42 - mmengine - INFO - Epoch(train) [348][ 800/1252] lr: 5.6195e-04 eta: 1 day, 5:58:25 time: 0.2989 data_time: 0.1380 loss: 1.7474 03/12 01:28:16 - mmengine - INFO - Epoch(train) [348][ 900/1252] lr: 5.6195e-04 eta: 1 day, 5:57:51 time: 0.3605 data_time: 0.0035 loss: 1.8982 03/12 01:28:50 - mmengine - INFO - Epoch(train) [348][1000/1252] lr: 5.6195e-04 eta: 1 day, 5:57:16 time: 0.2799 data_time: 0.0927 loss: 1.7708 03/12 01:29:25 - mmengine - INFO - Epoch(train) [348][1100/1252] lr: 5.6195e-04 eta: 1 day, 5:56:43 time: 0.3690 data_time: 0.0039 loss: 1.8570 03/12 01:29:58 - mmengine - INFO - Epoch(train) [348][1200/1252] lr: 5.6195e-04 eta: 1 day, 5:56:08 time: 0.3240 data_time: 0.0582 loss: 1.8240 03/12 01:30:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:30:15 - mmengine - INFO - Saving checkpoint at 348 epochs 03/12 01:30:41 - mmengine - INFO - Epoch(val) [348][49/49] accuracy/top1: 64.6240 accuracy/top5: 85.4940 03/12 01:31:17 - mmengine - INFO - Epoch(train) [349][ 100/1252] lr: 5.4678e-04 eta: 1 day, 5:55:17 time: 0.2884 data_time: 0.1625 loss: 1.8099 03/12 01:31:52 - mmengine - INFO - Epoch(train) [349][ 200/1252] lr: 5.4678e-04 eta: 1 day, 5:54:44 time: 0.3668 data_time: 0.2428 loss: 1.8097 03/12 01:32:26 - mmengine - INFO - Epoch(train) [349][ 300/1252] lr: 5.4678e-04 eta: 1 day, 5:54:09 time: 0.3462 data_time: 0.0143 loss: 1.8392 03/12 01:32:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:33:00 - mmengine - INFO - Epoch(train) [349][ 400/1252] lr: 5.4678e-04 eta: 1 day, 5:53:34 time: 0.3718 data_time: 0.1775 loss: 1.8358 03/12 01:33:34 - mmengine - INFO - Epoch(train) [349][ 500/1252] lr: 5.4678e-04 eta: 1 day, 5:53:00 time: 0.3340 data_time: 0.0057 loss: 1.7546 03/12 01:34:08 - mmengine - INFO - Epoch(train) [349][ 600/1252] lr: 5.4678e-04 eta: 1 day, 5:52:25 time: 0.3673 data_time: 0.0273 loss: 1.8016 03/12 01:34:41 - mmengine - INFO - Epoch(train) [349][ 700/1252] lr: 5.4678e-04 eta: 1 day, 5:51:51 time: 0.3302 data_time: 0.1370 loss: 1.7899 03/12 01:35:16 - mmengine - INFO - Epoch(train) [349][ 800/1252] lr: 5.4678e-04 eta: 1 day, 5:51:17 time: 0.3575 data_time: 0.0170 loss: 1.7724 03/12 01:35:50 - mmengine - INFO - Epoch(train) [349][ 900/1252] lr: 5.4678e-04 eta: 1 day, 5:50:42 time: 0.3484 data_time: 0.0043 loss: 1.9104 03/12 01:36:25 - mmengine - INFO - Epoch(train) [349][1000/1252] lr: 5.4678e-04 eta: 1 day, 5:50:08 time: 0.3102 data_time: 0.0036 loss: 1.8405 03/12 01:36:58 - mmengine - INFO - Epoch(train) [349][1100/1252] lr: 5.4678e-04 eta: 1 day, 5:49:34 time: 0.3301 data_time: 0.0138 loss: 1.7787 03/12 01:37:32 - mmengine - INFO - Epoch(train) [349][1200/1252] lr: 5.4678e-04 eta: 1 day, 5:48:59 time: 0.3470 data_time: 0.0929 loss: 1.8561 03/12 01:37:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:37:50 - mmengine - INFO - Saving checkpoint at 349 epochs 03/12 01:38:14 - mmengine - INFO - Epoch(val) [349][49/49] accuracy/top1: 65.3800 accuracy/top5: 86.2180 03/12 01:38:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:38:51 - mmengine - INFO - Epoch(train) [350][ 100/1252] lr: 5.4678e-04 eta: 1 day, 5:48:09 time: 0.3304 data_time: 0.0042 loss: 1.8796 03/12 01:39:25 - mmengine - INFO - Epoch(train) [350][ 200/1252] lr: 5.4678e-04 eta: 1 day, 5:47:34 time: 0.3293 data_time: 0.1237 loss: 1.8004 03/12 01:39:58 - mmengine - INFO - Epoch(train) [350][ 300/1252] lr: 5.4678e-04 eta: 1 day, 5:47:00 time: 0.3554 data_time: 0.0612 loss: 1.7416 03/12 01:40:33 - mmengine - INFO - Epoch(train) [350][ 400/1252] lr: 5.4678e-04 eta: 1 day, 5:46:26 time: 0.3576 data_time: 0.1523 loss: 1.8414 03/12 01:41:08 - mmengine - INFO - Epoch(train) [350][ 500/1252] lr: 5.4678e-04 eta: 1 day, 5:45:52 time: 0.4062 data_time: 0.1274 loss: 1.7160 03/12 01:41:41 - mmengine - INFO - Epoch(train) [350][ 600/1252] lr: 5.4678e-04 eta: 1 day, 5:45:17 time: 0.3469 data_time: 0.0038 loss: 1.7361 03/12 01:42:15 - mmengine - INFO - Epoch(train) [350][ 700/1252] lr: 5.4678e-04 eta: 1 day, 5:44:42 time: 0.3592 data_time: 0.1029 loss: 1.7878 03/12 01:42:49 - mmengine - INFO - Epoch(train) [350][ 800/1252] lr: 5.4678e-04 eta: 1 day, 5:44:08 time: 0.2858 data_time: 0.0965 loss: 1.8492 03/12 01:43:23 - mmengine - INFO - Epoch(train) [350][ 900/1252] lr: 5.4678e-04 eta: 1 day, 5:43:34 time: 0.3553 data_time: 0.0040 loss: 1.8527 03/12 01:43:58 - mmengine - INFO - Epoch(train) [350][1000/1252] lr: 5.4678e-04 eta: 1 day, 5:43:00 time: 0.3591 data_time: 0.0033 loss: 1.7584 03/12 01:44:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:44:31 - mmengine - INFO - Epoch(train) [350][1100/1252] lr: 5.4678e-04 eta: 1 day, 5:42:25 time: 0.3476 data_time: 0.0041 loss: 1.9229 03/12 01:45:05 - mmengine - INFO - Epoch(train) [350][1200/1252] lr: 5.4678e-04 eta: 1 day, 5:41:50 time: 0.3438 data_time: 0.0039 loss: 1.8193 03/12 01:45:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:45:22 - mmengine - INFO - Saving checkpoint at 350 epochs 03/12 01:45:48 - mmengine - INFO - Epoch(val) [350][49/49] accuracy/top1: 65.2640 accuracy/top5: 86.0460 03/12 01:46:25 - mmengine - INFO - Epoch(train) [351][ 100/1252] lr: 5.3202e-04 eta: 1 day, 5:41:00 time: 0.3432 data_time: 0.0045 loss: 1.8470 03/12 01:46:59 - mmengine - INFO - Epoch(train) [351][ 200/1252] lr: 5.3202e-04 eta: 1 day, 5:40:26 time: 0.3902 data_time: 0.0333 loss: 1.8496 03/12 01:47:32 - mmengine - INFO - Epoch(train) [351][ 300/1252] lr: 5.3202e-04 eta: 1 day, 5:39:51 time: 0.3339 data_time: 0.0039 loss: 1.8632 03/12 01:48:06 - mmengine - INFO - Epoch(train) [351][ 400/1252] lr: 5.3202e-04 eta: 1 day, 5:39:16 time: 0.3032 data_time: 0.1195 loss: 1.8624 03/12 01:48:40 - mmengine - INFO - Epoch(train) [351][ 500/1252] lr: 5.3202e-04 eta: 1 day, 5:38:42 time: 0.3687 data_time: 0.0042 loss: 1.7244 03/12 01:49:14 - mmengine - INFO - Epoch(train) [351][ 600/1252] lr: 5.3202e-04 eta: 1 day, 5:38:07 time: 0.2800 data_time: 0.0037 loss: 1.8064 03/12 01:49:48 - mmengine - INFO - Epoch(train) [351][ 700/1252] lr: 5.3202e-04 eta: 1 day, 5:37:33 time: 0.3411 data_time: 0.0699 loss: 1.8617 03/12 01:50:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:50:23 - mmengine - INFO - Epoch(train) [351][ 800/1252] lr: 5.3202e-04 eta: 1 day, 5:36:59 time: 0.3630 data_time: 0.0033 loss: 1.8071 03/12 01:50:57 - mmengine - INFO - Epoch(train) [351][ 900/1252] lr: 5.3202e-04 eta: 1 day, 5:36:25 time: 0.3349 data_time: 0.0034 loss: 1.8440 03/12 01:51:31 - mmengine - INFO - Epoch(train) [351][1000/1252] lr: 5.3202e-04 eta: 1 day, 5:35:50 time: 0.2943 data_time: 0.0045 loss: 1.8308 03/12 01:52:05 - mmengine - INFO - Epoch(train) [351][1100/1252] lr: 5.3202e-04 eta: 1 day, 5:35:16 time: 0.2983 data_time: 0.0039 loss: 1.8620 03/12 01:52:39 - mmengine - INFO - Epoch(train) [351][1200/1252] lr: 5.3202e-04 eta: 1 day, 5:34:41 time: 0.3165 data_time: 0.0934 loss: 1.9118 03/12 01:52:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:52:56 - mmengine - INFO - Saving checkpoint at 351 epochs 03/12 01:53:19 - mmengine - INFO - Epoch(val) [351][49/49] accuracy/top1: 65.6700 accuracy/top5: 86.2580 03/12 01:53:57 - mmengine - INFO - Epoch(train) [352][ 100/1252] lr: 5.3202e-04 eta: 1 day, 5:33:51 time: 0.3466 data_time: 0.0038 loss: 1.7330 03/12 01:54:31 - mmengine - INFO - Epoch(train) [352][ 200/1252] lr: 5.3202e-04 eta: 1 day, 5:33:17 time: 0.3574 data_time: 0.0045 loss: 1.8919 03/12 01:55:05 - mmengine - INFO - Epoch(train) [352][ 300/1252] lr: 5.3202e-04 eta: 1 day, 5:32:42 time: 0.3381 data_time: 0.0069 loss: 1.8929 03/12 01:55:39 - mmengine - INFO - Epoch(train) [352][ 400/1252] lr: 5.3202e-04 eta: 1 day, 5:32:08 time: 0.3058 data_time: 0.0043 loss: 1.7648 03/12 01:56:14 - mmengine - INFO - Epoch(train) [352][ 500/1252] lr: 5.3202e-04 eta: 1 day, 5:31:34 time: 0.3614 data_time: 0.0361 loss: 1.8493 03/12 01:56:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 01:56:47 - mmengine - INFO - Epoch(train) [352][ 600/1252] lr: 5.3202e-04 eta: 1 day, 5:30:59 time: 0.3629 data_time: 0.0041 loss: 1.8442 03/12 01:57:21 - mmengine - INFO - Epoch(train) [352][ 700/1252] lr: 5.3202e-04 eta: 1 day, 5:30:24 time: 0.3549 data_time: 0.0034 loss: 1.8204 03/12 01:57:55 - mmengine - INFO - Epoch(train) [352][ 800/1252] lr: 5.3202e-04 eta: 1 day, 5:29:50 time: 0.3101 data_time: 0.0038 loss: 1.8706 03/12 01:58:29 - mmengine - INFO - Epoch(train) [352][ 900/1252] lr: 5.3202e-04 eta: 1 day, 5:29:16 time: 0.2899 data_time: 0.0036 loss: 1.8472 03/12 01:59:03 - mmengine - INFO - Epoch(train) [352][1000/1252] lr: 5.3202e-04 eta: 1 day, 5:28:41 time: 0.3265 data_time: 0.0584 loss: 1.8359 03/12 01:59:37 - mmengine - INFO - Epoch(train) [352][1100/1252] lr: 5.3202e-04 eta: 1 day, 5:28:07 time: 0.3251 data_time: 0.0040 loss: 1.8549 03/12 02:00:12 - mmengine - INFO - Epoch(train) [352][1200/1252] lr: 5.3202e-04 eta: 1 day, 5:27:33 time: 0.3616 data_time: 0.0039 loss: 1.7712 03/12 02:00:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:00:30 - mmengine - INFO - Saving checkpoint at 352 epochs 03/12 02:00:55 - mmengine - INFO - Epoch(val) [352][49/49] accuracy/top1: 65.4820 accuracy/top5: 86.0440 03/12 02:01:32 - mmengine - INFO - Epoch(train) [353][ 100/1252] lr: 5.1765e-04 eta: 1 day, 5:26:43 time: 0.3235 data_time: 0.0041 loss: 1.8309 03/12 02:02:06 - mmengine - INFO - Epoch(train) [353][ 200/1252] lr: 5.1765e-04 eta: 1 day, 5:26:08 time: 0.3521 data_time: 0.0038 loss: 1.8371 03/12 02:02:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:02:40 - mmengine - INFO - Epoch(train) [353][ 300/1252] lr: 5.1765e-04 eta: 1 day, 5:25:34 time: 0.3950 data_time: 0.2692 loss: 1.9247 03/12 02:03:14 - mmengine - INFO - Epoch(train) [353][ 400/1252] lr: 5.1765e-04 eta: 1 day, 5:25:00 time: 0.3175 data_time: 0.0954 loss: 1.8463 03/12 02:03:48 - mmengine - INFO - Epoch(train) [353][ 500/1252] lr: 5.1765e-04 eta: 1 day, 5:24:25 time: 0.3488 data_time: 0.1116 loss: 1.8619 03/12 02:04:21 - mmengine - INFO - Epoch(train) [353][ 600/1252] lr: 5.1765e-04 eta: 1 day, 5:23:50 time: 0.3277 data_time: 0.0038 loss: 1.8660 03/12 02:04:56 - mmengine - INFO - Epoch(train) [353][ 700/1252] lr: 5.1765e-04 eta: 1 day, 5:23:16 time: 0.3349 data_time: 0.0035 loss: 1.9097 03/12 02:05:30 - mmengine - INFO - Epoch(train) [353][ 800/1252] lr: 5.1765e-04 eta: 1 day, 5:22:42 time: 0.3546 data_time: 0.0045 loss: 1.8259 03/12 02:06:03 - mmengine - INFO - Epoch(train) [353][ 900/1252] lr: 5.1765e-04 eta: 1 day, 5:22:07 time: 0.3041 data_time: 0.0043 loss: 1.7640 03/12 02:06:37 - mmengine - INFO - Epoch(train) [353][1000/1252] lr: 5.1765e-04 eta: 1 day, 5:21:33 time: 0.3278 data_time: 0.0041 loss: 1.8351 03/12 02:07:12 - mmengine - INFO - Epoch(train) [353][1100/1252] lr: 5.1765e-04 eta: 1 day, 5:20:59 time: 0.3447 data_time: 0.0037 loss: 1.8413 03/12 02:07:46 - mmengine - INFO - Epoch(train) [353][1200/1252] lr: 5.1765e-04 eta: 1 day, 5:20:25 time: 0.3617 data_time: 0.2218 loss: 1.9680 03/12 02:08:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:08:03 - mmengine - INFO - Saving checkpoint at 353 epochs 03/12 02:08:27 - mmengine - INFO - Epoch(val) [353][49/49] accuracy/top1: 65.0420 accuracy/top5: 85.7960 03/12 02:08:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:09:04 - mmengine - INFO - Epoch(train) [354][ 100/1252] lr: 5.1765e-04 eta: 1 day, 5:19:33 time: 0.3555 data_time: 0.0603 loss: 1.9018 03/12 02:09:38 - mmengine - INFO - Epoch(train) [354][ 200/1252] lr: 5.1765e-04 eta: 1 day, 5:18:59 time: 0.3307 data_time: 0.0132 loss: 1.7267 03/12 02:10:12 - mmengine - INFO - Epoch(train) [354][ 300/1252] lr: 5.1765e-04 eta: 1 day, 5:18:25 time: 0.2988 data_time: 0.0132 loss: 1.9388 03/12 02:10:46 - mmengine - INFO - Epoch(train) [354][ 400/1252] lr: 5.1765e-04 eta: 1 day, 5:17:50 time: 0.3332 data_time: 0.2014 loss: 1.9205 03/12 02:11:21 - mmengine - INFO - Epoch(train) [354][ 500/1252] lr: 5.1765e-04 eta: 1 day, 5:17:16 time: 0.3694 data_time: 0.0040 loss: 1.8177 03/12 02:11:55 - mmengine - INFO - Epoch(train) [354][ 600/1252] lr: 5.1765e-04 eta: 1 day, 5:16:42 time: 0.3107 data_time: 0.0039 loss: 1.7804 03/12 02:12:29 - mmengine - INFO - Epoch(train) [354][ 700/1252] lr: 5.1765e-04 eta: 1 day, 5:16:08 time: 0.3256 data_time: 0.0095 loss: 1.8259 03/12 02:13:03 - mmengine - INFO - Epoch(train) [354][ 800/1252] lr: 5.1765e-04 eta: 1 day, 5:15:33 time: 0.3603 data_time: 0.0039 loss: 1.8987 03/12 02:13:37 - mmengine - INFO - Epoch(train) [354][ 900/1252] lr: 5.1765e-04 eta: 1 day, 5:14:58 time: 0.3720 data_time: 0.0041 loss: 1.8947 03/12 02:14:10 - mmengine - INFO - Epoch(train) [354][1000/1252] lr: 5.1765e-04 eta: 1 day, 5:14:23 time: 0.3188 data_time: 0.0913 loss: 1.9506 03/12 02:14:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:14:44 - mmengine - INFO - Epoch(train) [354][1100/1252] lr: 5.1765e-04 eta: 1 day, 5:13:49 time: 0.3286 data_time: 0.0038 loss: 1.7543 03/12 02:15:18 - mmengine - INFO - Epoch(train) [354][1200/1252] lr: 5.1765e-04 eta: 1 day, 5:13:15 time: 0.3050 data_time: 0.0117 loss: 1.9138 03/12 02:15:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:15:36 - mmengine - INFO - Saving checkpoint at 354 epochs 03/12 02:16:00 - mmengine - INFO - Epoch(val) [354][49/49] accuracy/top1: 65.5540 accuracy/top5: 86.1920 03/12 02:16:37 - mmengine - INFO - Epoch(train) [355][ 100/1252] lr: 5.0368e-04 eta: 1 day, 5:12:25 time: 0.3722 data_time: 0.1132 loss: 1.8099 03/12 02:17:12 - mmengine - INFO - Epoch(train) [355][ 200/1252] lr: 5.0368e-04 eta: 1 day, 5:11:50 time: 0.3607 data_time: 0.1160 loss: 1.9444 03/12 02:17:46 - mmengine - INFO - Epoch(train) [355][ 300/1252] lr: 5.0368e-04 eta: 1 day, 5:11:16 time: 0.3667 data_time: 0.0038 loss: 1.7547 03/12 02:18:19 - mmengine - INFO - Epoch(train) [355][ 400/1252] lr: 5.0368e-04 eta: 1 day, 5:10:41 time: 0.3411 data_time: 0.0050 loss: 1.8160 03/12 02:18:54 - mmengine - INFO - Epoch(train) [355][ 500/1252] lr: 5.0368e-04 eta: 1 day, 5:10:07 time: 0.3115 data_time: 0.0300 loss: 1.7595 03/12 02:19:27 - mmengine - INFO - Epoch(train) [355][ 600/1252] lr: 5.0368e-04 eta: 1 day, 5:09:32 time: 0.2834 data_time: 0.0041 loss: 1.7489 03/12 02:20:02 - mmengine - INFO - Epoch(train) [355][ 700/1252] lr: 5.0368e-04 eta: 1 day, 5:08:58 time: 0.3559 data_time: 0.0036 loss: 1.8029 03/12 02:20:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:20:36 - mmengine - INFO - Epoch(train) [355][ 800/1252] lr: 5.0368e-04 eta: 1 day, 5:08:24 time: 0.3438 data_time: 0.0038 loss: 1.8657 03/12 02:21:10 - mmengine - INFO - Epoch(train) [355][ 900/1252] lr: 5.0368e-04 eta: 1 day, 5:07:49 time: 0.4140 data_time: 0.0418 loss: 1.8215 03/12 02:21:44 - mmengine - INFO - Epoch(train) [355][1000/1252] lr: 5.0368e-04 eta: 1 day, 5:07:15 time: 0.3961 data_time: 0.0036 loss: 1.7907 03/12 02:22:18 - mmengine - INFO - Epoch(train) [355][1100/1252] lr: 5.0368e-04 eta: 1 day, 5:06:41 time: 0.3152 data_time: 0.0043 loss: 1.7604 03/12 02:22:52 - mmengine - INFO - Epoch(train) [355][1200/1252] lr: 5.0368e-04 eta: 1 day, 5:06:06 time: 0.3102 data_time: 0.0038 loss: 1.8831 03/12 02:23:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:23:09 - mmengine - INFO - Saving checkpoint at 355 epochs 03/12 02:23:33 - mmengine - INFO - Epoch(val) [355][49/49] accuracy/top1: 64.7840 accuracy/top5: 85.6460 03/12 02:24:10 - mmengine - INFO - Epoch(train) [356][ 100/1252] lr: 5.0368e-04 eta: 1 day, 5:05:15 time: 0.3153 data_time: 0.1673 loss: 1.6848 03/12 02:24:45 - mmengine - INFO - Epoch(train) [356][ 200/1252] lr: 5.0368e-04 eta: 1 day, 5:04:42 time: 0.3895 data_time: 0.0938 loss: 1.8325 03/12 02:25:19 - mmengine - INFO - Epoch(train) [356][ 300/1252] lr: 5.0368e-04 eta: 1 day, 5:04:08 time: 0.3424 data_time: 0.0041 loss: 1.7765 03/12 02:25:52 - mmengine - INFO - Epoch(train) [356][ 400/1252] lr: 5.0368e-04 eta: 1 day, 5:03:33 time: 0.3374 data_time: 0.0060 loss: 1.8247 03/12 02:26:26 - mmengine - INFO - Epoch(train) [356][ 500/1252] lr: 5.0368e-04 eta: 1 day, 5:02:58 time: 0.3084 data_time: 0.0037 loss: 1.8845 03/12 02:26:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:27:01 - mmengine - INFO - Epoch(train) [356][ 600/1252] lr: 5.0368e-04 eta: 1 day, 5:02:24 time: 0.3432 data_time: 0.0042 loss: 1.8587 03/12 02:27:35 - mmengine - INFO - Epoch(train) [356][ 700/1252] lr: 5.0368e-04 eta: 1 day, 5:01:50 time: 0.3827 data_time: 0.0038 loss: 1.7717 03/12 02:28:09 - mmengine - INFO - Epoch(train) [356][ 800/1252] lr: 5.0368e-04 eta: 1 day, 5:01:16 time: 0.3682 data_time: 0.1881 loss: 1.9132 03/12 02:28:43 - mmengine - INFO - Epoch(train) [356][ 900/1252] lr: 5.0368e-04 eta: 1 day, 5:00:41 time: 0.2978 data_time: 0.0046 loss: 1.9336 03/12 02:29:18 - mmengine - INFO - Epoch(train) [356][1000/1252] lr: 5.0368e-04 eta: 1 day, 5:00:07 time: 0.3688 data_time: 0.0039 loss: 1.8681 03/12 02:29:51 - mmengine - INFO - Epoch(train) [356][1100/1252] lr: 5.0368e-04 eta: 1 day, 4:59:32 time: 0.3276 data_time: 0.0038 loss: 1.7429 03/12 02:30:26 - mmengine - INFO - Epoch(train) [356][1200/1252] lr: 5.0368e-04 eta: 1 day, 4:58:58 time: 0.3345 data_time: 0.0037 loss: 1.7507 03/12 02:30:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:30:42 - mmengine - INFO - Saving checkpoint at 356 epochs 03/12 02:31:07 - mmengine - INFO - Epoch(val) [356][49/49] accuracy/top1: 65.5280 accuracy/top5: 86.0700 03/12 02:31:43 - mmengine - INFO - Epoch(train) [357][ 100/1252] lr: 4.9008e-04 eta: 1 day, 4:58:07 time: 0.3015 data_time: 0.1723 loss: 1.7793 03/12 02:32:17 - mmengine - INFO - Epoch(train) [357][ 200/1252] lr: 4.9008e-04 eta: 1 day, 4:57:33 time: 0.3762 data_time: 0.1192 loss: 1.8556 03/12 02:32:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:32:52 - mmengine - INFO - Epoch(train) [357][ 300/1252] lr: 4.9008e-04 eta: 1 day, 4:56:58 time: 0.3570 data_time: 0.0033 loss: 1.8703 03/12 02:33:26 - mmengine - INFO - Epoch(train) [357][ 400/1252] lr: 4.9008e-04 eta: 1 day, 4:56:24 time: 0.3788 data_time: 0.0045 loss: 1.9287 03/12 02:34:01 - mmengine - INFO - Epoch(train) [357][ 500/1252] lr: 4.9008e-04 eta: 1 day, 4:55:51 time: 0.3607 data_time: 0.2365 loss: 1.8384 03/12 02:34:34 - mmengine - INFO - Epoch(train) [357][ 600/1252] lr: 4.9008e-04 eta: 1 day, 4:55:16 time: 0.3166 data_time: 0.0040 loss: 1.7310 03/12 02:35:08 - mmengine - INFO - Epoch(train) [357][ 700/1252] lr: 4.9008e-04 eta: 1 day, 4:54:41 time: 0.3350 data_time: 0.0039 loss: 1.7104 03/12 02:35:43 - mmengine - INFO - Epoch(train) [357][ 800/1252] lr: 4.9008e-04 eta: 1 day, 4:54:07 time: 0.3745 data_time: 0.1507 loss: 1.8141 03/12 02:36:17 - mmengine - INFO - Epoch(train) [357][ 900/1252] lr: 4.9008e-04 eta: 1 day, 4:53:33 time: 0.3805 data_time: 0.0461 loss: 1.9114 03/12 02:36:51 - mmengine - INFO - Epoch(train) [357][1000/1252] lr: 4.9008e-04 eta: 1 day, 4:52:58 time: 0.3328 data_time: 0.0153 loss: 1.8262 03/12 02:37:25 - mmengine - INFO - Epoch(train) [357][1100/1252] lr: 4.9008e-04 eta: 1 day, 4:52:24 time: 0.3611 data_time: 0.2372 loss: 1.8006 03/12 02:38:00 - mmengine - INFO - Epoch(train) [357][1200/1252] lr: 4.9008e-04 eta: 1 day, 4:51:50 time: 0.3620 data_time: 0.0038 loss: 1.8422 03/12 02:38:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:38:17 - mmengine - INFO - Saving checkpoint at 357 epochs 03/12 02:38:41 - mmengine - INFO - Epoch(val) [357][49/49] accuracy/top1: 65.2140 accuracy/top5: 86.0320 03/12 02:38:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:39:18 - mmengine - INFO - Epoch(train) [358][ 100/1252] lr: 4.9008e-04 eta: 1 day, 4:51:00 time: 0.3323 data_time: 0.1168 loss: 1.9047 03/12 02:39:52 - mmengine - INFO - Epoch(train) [358][ 200/1252] lr: 4.9008e-04 eta: 1 day, 4:50:26 time: 0.3490 data_time: 0.0048 loss: 1.8073 03/12 02:40:26 - mmengine - INFO - Epoch(train) [358][ 300/1252] lr: 4.9008e-04 eta: 1 day, 4:49:51 time: 0.3684 data_time: 0.0052 loss: 1.8399 03/12 02:41:00 - mmengine - INFO - Epoch(train) [358][ 400/1252] lr: 4.9008e-04 eta: 1 day, 4:49:17 time: 0.3064 data_time: 0.0042 loss: 1.9283 03/12 02:41:34 - mmengine - INFO - Epoch(train) [358][ 500/1252] lr: 4.9008e-04 eta: 1 day, 4:48:42 time: 0.3613 data_time: 0.2063 loss: 1.7891 03/12 02:42:08 - mmengine - INFO - Epoch(train) [358][ 600/1252] lr: 4.9008e-04 eta: 1 day, 4:48:08 time: 0.3416 data_time: 0.0620 loss: 1.8566 03/12 02:42:42 - mmengine - INFO - Epoch(train) [358][ 700/1252] lr: 4.9008e-04 eta: 1 day, 4:47:33 time: 0.3609 data_time: 0.0038 loss: 1.9904 03/12 02:43:17 - mmengine - INFO - Epoch(train) [358][ 800/1252] lr: 4.9008e-04 eta: 1 day, 4:46:59 time: 0.3916 data_time: 0.0046 loss: 1.8315 03/12 02:43:51 - mmengine - INFO - Epoch(train) [358][ 900/1252] lr: 4.9008e-04 eta: 1 day, 4:46:25 time: 0.3571 data_time: 0.0039 loss: 1.8369 03/12 02:44:24 - mmengine - INFO - Epoch(train) [358][1000/1252] lr: 4.9008e-04 eta: 1 day, 4:45:50 time: 0.3532 data_time: 0.1141 loss: 1.8896 03/12 02:44:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:44:58 - mmengine - INFO - Epoch(train) [358][1100/1252] lr: 4.9008e-04 eta: 1 day, 4:45:15 time: 0.2832 data_time: 0.0150 loss: 1.7701 03/12 02:45:33 - mmengine - INFO - Epoch(train) [358][1200/1252] lr: 4.9008e-04 eta: 1 day, 4:44:42 time: 0.3305 data_time: 0.1891 loss: 1.8308 03/12 02:45:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:45:49 - mmengine - INFO - Saving checkpoint at 358 epochs 03/12 02:46:13 - mmengine - INFO - Epoch(val) [358][49/49] accuracy/top1: 65.7320 accuracy/top5: 86.4220 03/12 02:46:50 - mmengine - INFO - Epoch(train) [359][ 100/1252] lr: 4.7685e-04 eta: 1 day, 4:43:50 time: 0.3424 data_time: 0.0626 loss: 1.8092 03/12 02:47:25 - mmengine - INFO - Epoch(train) [359][ 200/1252] lr: 4.7685e-04 eta: 1 day, 4:43:17 time: 0.3675 data_time: 0.0040 loss: 1.6987 03/12 02:47:59 - mmengine - INFO - Epoch(train) [359][ 300/1252] lr: 4.7685e-04 eta: 1 day, 4:42:42 time: 0.3065 data_time: 0.0038 loss: 1.8216 03/12 02:48:32 - mmengine - INFO - Epoch(train) [359][ 400/1252] lr: 4.7685e-04 eta: 1 day, 4:42:07 time: 0.3432 data_time: 0.0051 loss: 1.8537 03/12 02:49:07 - mmengine - INFO - Epoch(train) [359][ 500/1252] lr: 4.7685e-04 eta: 1 day, 4:41:34 time: 0.3746 data_time: 0.0742 loss: 1.8592 03/12 02:49:41 - mmengine - INFO - Epoch(train) [359][ 600/1252] lr: 4.7685e-04 eta: 1 day, 4:40:59 time: 0.3071 data_time: 0.0039 loss: 1.7938 03/12 02:50:15 - mmengine - INFO - Epoch(train) [359][ 700/1252] lr: 4.7685e-04 eta: 1 day, 4:40:25 time: 0.3479 data_time: 0.1846 loss: 1.7902 03/12 02:50:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:50:50 - mmengine - INFO - Epoch(train) [359][ 800/1252] lr: 4.7685e-04 eta: 1 day, 4:39:51 time: 0.3433 data_time: 0.1650 loss: 1.8379 03/12 02:51:23 - mmengine - INFO - Epoch(train) [359][ 900/1252] lr: 4.7685e-04 eta: 1 day, 4:39:15 time: 0.3011 data_time: 0.0367 loss: 1.8504 03/12 02:51:58 - mmengine - INFO - Epoch(train) [359][1000/1252] lr: 4.7685e-04 eta: 1 day, 4:38:42 time: 0.4188 data_time: 0.0039 loss: 1.8203 03/12 02:52:32 - mmengine - INFO - Epoch(train) [359][1100/1252] lr: 4.7685e-04 eta: 1 day, 4:38:07 time: 0.3806 data_time: 0.0038 loss: 1.8336 03/12 02:53:06 - mmengine - INFO - Epoch(train) [359][1200/1252] lr: 4.7685e-04 eta: 1 day, 4:37:33 time: 0.3587 data_time: 0.0039 loss: 1.8710 03/12 02:53:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:53:23 - mmengine - INFO - Saving checkpoint at 359 epochs 03/12 02:53:48 - mmengine - INFO - Epoch(val) [359][49/49] accuracy/top1: 65.2880 accuracy/top5: 86.1280 03/12 02:54:24 - mmengine - INFO - Epoch(train) [360][ 100/1252] lr: 4.7685e-04 eta: 1 day, 4:36:42 time: 0.2992 data_time: 0.1465 loss: 1.8543 03/12 02:55:00 - mmengine - INFO - Epoch(train) [360][ 200/1252] lr: 4.7685e-04 eta: 1 day, 4:36:08 time: 0.3718 data_time: 0.0037 loss: 1.7085 03/12 02:55:34 - mmengine - INFO - Epoch(train) [360][ 300/1252] lr: 4.7685e-04 eta: 1 day, 4:35:34 time: 0.3813 data_time: 0.0038 loss: 1.7878 03/12 02:56:07 - mmengine - INFO - Epoch(train) [360][ 400/1252] lr: 4.7685e-04 eta: 1 day, 4:34:59 time: 0.3011 data_time: 0.0038 loss: 1.8583 03/12 02:56:41 - mmengine - INFO - Epoch(train) [360][ 500/1252] lr: 4.7685e-04 eta: 1 day, 4:34:25 time: 0.3092 data_time: 0.1579 loss: 1.8560 03/12 02:56:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 02:57:15 - mmengine - INFO - Epoch(train) [360][ 600/1252] lr: 4.7685e-04 eta: 1 day, 4:33:50 time: 0.3283 data_time: 0.0437 loss: 1.7701 03/12 02:57:49 - mmengine - INFO - Epoch(train) [360][ 700/1252] lr: 4.7685e-04 eta: 1 day, 4:33:16 time: 0.3464 data_time: 0.0040 loss: 1.7954 03/12 02:58:24 - mmengine - INFO - Epoch(train) [360][ 800/1252] lr: 4.7685e-04 eta: 1 day, 4:32:42 time: 0.3487 data_time: 0.1814 loss: 1.8692 03/12 02:58:58 - mmengine - INFO - Epoch(train) [360][ 900/1252] lr: 4.7685e-04 eta: 1 day, 4:32:07 time: 0.3222 data_time: 0.0041 loss: 1.8540 03/12 02:59:32 - mmengine - INFO - Epoch(train) [360][1000/1252] lr: 4.7685e-04 eta: 1 day, 4:31:33 time: 0.3366 data_time: 0.0043 loss: 1.8539 03/12 03:00:06 - mmengine - INFO - Epoch(train) [360][1100/1252] lr: 4.7685e-04 eta: 1 day, 4:30:59 time: 0.3113 data_time: 0.0424 loss: 1.8652 03/12 03:00:40 - mmengine - INFO - Epoch(train) [360][1200/1252] lr: 4.7685e-04 eta: 1 day, 4:30:24 time: 0.3510 data_time: 0.0576 loss: 1.9691 03/12 03:00:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:00:57 - mmengine - INFO - Saving checkpoint at 360 epochs 03/12 03:01:21 - mmengine - INFO - Epoch(val) [360][49/49] accuracy/top1: 65.1680 accuracy/top5: 85.7680 03/12 03:01:58 - mmengine - INFO - Epoch(train) [361][ 100/1252] lr: 4.6397e-04 eta: 1 day, 4:29:34 time: 0.3579 data_time: 0.0043 loss: 1.7805 03/12 03:02:32 - mmengine - INFO - Epoch(train) [361][ 200/1252] lr: 4.6397e-04 eta: 1 day, 4:28:59 time: 0.3636 data_time: 0.0038 loss: 1.7538 03/12 03:02:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:03:06 - mmengine - INFO - Epoch(train) [361][ 300/1252] lr: 4.6397e-04 eta: 1 day, 4:28:24 time: 0.3462 data_time: 0.0101 loss: 1.8084 03/12 03:03:39 - mmengine - INFO - Epoch(train) [361][ 400/1252] lr: 4.6397e-04 eta: 1 day, 4:27:50 time: 0.3115 data_time: 0.1456 loss: 1.7658 03/12 03:04:14 - mmengine - INFO - Epoch(train) [361][ 500/1252] lr: 4.6397e-04 eta: 1 day, 4:27:15 time: 0.3724 data_time: 0.0046 loss: 1.8973 03/12 03:04:47 - mmengine - INFO - Epoch(train) [361][ 600/1252] lr: 4.6397e-04 eta: 1 day, 4:26:41 time: 0.3575 data_time: 0.0046 loss: 1.7881 03/12 03:05:21 - mmengine - INFO - Epoch(train) [361][ 700/1252] lr: 4.6397e-04 eta: 1 day, 4:26:06 time: 0.3106 data_time: 0.0045 loss: 1.9092 03/12 03:05:55 - mmengine - INFO - Epoch(train) [361][ 800/1252] lr: 4.6397e-04 eta: 1 day, 4:25:32 time: 0.3351 data_time: 0.0043 loss: 1.8427 03/12 03:06:29 - mmengine - INFO - Epoch(train) [361][ 900/1252] lr: 4.6397e-04 eta: 1 day, 4:24:57 time: 0.3704 data_time: 0.2252 loss: 1.9865 03/12 03:07:03 - mmengine - INFO - Epoch(train) [361][1000/1252] lr: 4.6397e-04 eta: 1 day, 4:24:23 time: 0.3228 data_time: 0.0886 loss: 1.8897 03/12 03:07:37 - mmengine - INFO - Epoch(train) [361][1100/1252] lr: 4.6397e-04 eta: 1 day, 4:23:48 time: 0.3651 data_time: 0.0471 loss: 1.8662 03/12 03:08:11 - mmengine - INFO - Epoch(train) [361][1200/1252] lr: 4.6397e-04 eta: 1 day, 4:23:14 time: 0.3185 data_time: 0.0168 loss: 1.7238 03/12 03:08:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:08:28 - mmengine - INFO - Saving checkpoint at 361 epochs 03/12 03:08:52 - mmengine - INFO - Epoch(val) [361][49/49] accuracy/top1: 65.8820 accuracy/top5: 86.5840 03/12 03:09:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:09:29 - mmengine - INFO - Epoch(train) [362][ 100/1252] lr: 4.6397e-04 eta: 1 day, 4:22:23 time: 0.3382 data_time: 0.1732 loss: 1.8126 03/12 03:10:03 - mmengine - INFO - Epoch(train) [362][ 200/1252] lr: 4.6397e-04 eta: 1 day, 4:21:48 time: 0.3163 data_time: 0.0714 loss: 1.7352 03/12 03:10:37 - mmengine - INFO - Epoch(train) [362][ 300/1252] lr: 4.6397e-04 eta: 1 day, 4:21:14 time: 0.3283 data_time: 0.0113 loss: 1.8410 03/12 03:11:12 - mmengine - INFO - Epoch(train) [362][ 400/1252] lr: 4.6397e-04 eta: 1 day, 4:20:40 time: 0.3706 data_time: 0.0303 loss: 1.8266 03/12 03:11:45 - mmengine - INFO - Epoch(train) [362][ 500/1252] lr: 4.6397e-04 eta: 1 day, 4:20:05 time: 0.3301 data_time: 0.1479 loss: 1.8204 03/12 03:12:20 - mmengine - INFO - Epoch(train) [362][ 600/1252] lr: 4.6397e-04 eta: 1 day, 4:19:31 time: 0.3670 data_time: 0.0046 loss: 1.9025 03/12 03:12:54 - mmengine - INFO - Epoch(train) [362][ 700/1252] lr: 4.6397e-04 eta: 1 day, 4:18:57 time: 0.3740 data_time: 0.0600 loss: 1.8150 03/12 03:13:28 - mmengine - INFO - Epoch(train) [362][ 800/1252] lr: 4.6397e-04 eta: 1 day, 4:18:22 time: 0.3271 data_time: 0.0036 loss: 1.8384 03/12 03:14:01 - mmengine - INFO - Epoch(train) [362][ 900/1252] lr: 4.6397e-04 eta: 1 day, 4:17:47 time: 0.3067 data_time: 0.0040 loss: 1.8291 03/12 03:14:35 - mmengine - INFO - Epoch(train) [362][1000/1252] lr: 4.6397e-04 eta: 1 day, 4:17:13 time: 0.3379 data_time: 0.1998 loss: 1.8326 03/12 03:14:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:15:09 - mmengine - INFO - Epoch(train) [362][1100/1252] lr: 4.6397e-04 eta: 1 day, 4:16:38 time: 0.3562 data_time: 0.1537 loss: 1.8875 03/12 03:15:43 - mmengine - INFO - Epoch(train) [362][1200/1252] lr: 4.6397e-04 eta: 1 day, 4:16:04 time: 0.3369 data_time: 0.0039 loss: 1.9187 03/12 03:16:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:16:01 - mmengine - INFO - Saving checkpoint at 362 epochs 03/12 03:16:27 - mmengine - INFO - Epoch(val) [362][49/49] accuracy/top1: 64.7440 accuracy/top5: 85.5700 03/12 03:17:04 - mmengine - INFO - Epoch(train) [363][ 100/1252] lr: 4.5144e-04 eta: 1 day, 4:15:14 time: 0.3350 data_time: 0.1108 loss: 1.7911 03/12 03:17:38 - mmengine - INFO - Epoch(train) [363][ 200/1252] lr: 4.5144e-04 eta: 1 day, 4:14:39 time: 0.3997 data_time: 0.0039 loss: 1.8387 03/12 03:18:11 - mmengine - INFO - Epoch(train) [363][ 300/1252] lr: 4.5144e-04 eta: 1 day, 4:14:05 time: 0.3407 data_time: 0.0040 loss: 1.7960 03/12 03:18:45 - mmengine - INFO - Epoch(train) [363][ 400/1252] lr: 4.5144e-04 eta: 1 day, 4:13:30 time: 0.3271 data_time: 0.1722 loss: 1.8522 03/12 03:19:20 - mmengine - INFO - Epoch(train) [363][ 500/1252] lr: 4.5144e-04 eta: 1 day, 4:12:56 time: 0.3831 data_time: 0.1949 loss: 1.8511 03/12 03:19:54 - mmengine - INFO - Epoch(train) [363][ 600/1252] lr: 4.5144e-04 eta: 1 day, 4:12:22 time: 0.3706 data_time: 0.0244 loss: 1.9094 03/12 03:20:28 - mmengine - INFO - Epoch(train) [363][ 700/1252] lr: 4.5144e-04 eta: 1 day, 4:11:47 time: 0.3833 data_time: 0.1144 loss: 1.8863 03/12 03:20:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:21:01 - mmengine - INFO - Epoch(train) [363][ 800/1252] lr: 4.5144e-04 eta: 1 day, 4:11:12 time: 0.3054 data_time: 0.0141 loss: 1.7161 03/12 03:21:35 - mmengine - INFO - Epoch(train) [363][ 900/1252] lr: 4.5144e-04 eta: 1 day, 4:10:38 time: 0.3378 data_time: 0.0042 loss: 1.9002 03/12 03:22:09 - mmengine - INFO - Epoch(train) [363][1000/1252] lr: 4.5144e-04 eta: 1 day, 4:10:04 time: 0.3430 data_time: 0.0037 loss: 1.8589 03/12 03:22:43 - mmengine - INFO - Epoch(train) [363][1100/1252] lr: 4.5144e-04 eta: 1 day, 4:09:29 time: 0.3033 data_time: 0.0047 loss: 1.8550 03/12 03:23:17 - mmengine - INFO - Epoch(train) [363][1200/1252] lr: 4.5144e-04 eta: 1 day, 4:08:55 time: 0.3489 data_time: 0.0041 loss: 1.7976 03/12 03:23:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:23:34 - mmengine - INFO - Saving checkpoint at 363 epochs 03/12 03:24:00 - mmengine - INFO - Epoch(val) [363][49/49] accuracy/top1: 65.8560 accuracy/top5: 86.4480 03/12 03:24:36 - mmengine - INFO - Epoch(train) [364][ 100/1252] lr: 4.5144e-04 eta: 1 day, 4:08:04 time: 0.3020 data_time: 0.0456 loss: 1.8004 03/12 03:25:11 - mmengine - INFO - Epoch(train) [364][ 200/1252] lr: 4.5144e-04 eta: 1 day, 4:07:29 time: 0.3277 data_time: 0.1571 loss: 1.8833 03/12 03:25:44 - mmengine - INFO - Epoch(train) [364][ 300/1252] lr: 4.5144e-04 eta: 1 day, 4:06:55 time: 0.2843 data_time: 0.0041 loss: 1.8244 03/12 03:26:19 - mmengine - INFO - Epoch(train) [364][ 400/1252] lr: 4.5144e-04 eta: 1 day, 4:06:21 time: 0.3513 data_time: 0.0040 loss: 1.8185 03/12 03:26:53 - mmengine - INFO - Epoch(train) [364][ 500/1252] lr: 4.5144e-04 eta: 1 day, 4:05:46 time: 0.2925 data_time: 0.1429 loss: 1.8206 03/12 03:27:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:27:26 - mmengine - INFO - Epoch(train) [364][ 600/1252] lr: 4.5144e-04 eta: 1 day, 4:05:11 time: 0.2521 data_time: 0.1134 loss: 1.8645 03/12 03:28:01 - mmengine - INFO - Epoch(train) [364][ 700/1252] lr: 4.5144e-04 eta: 1 day, 4:04:38 time: 0.4147 data_time: 0.0124 loss: 1.8536 03/12 03:28:34 - mmengine - INFO - Epoch(train) [364][ 800/1252] lr: 4.5144e-04 eta: 1 day, 4:04:02 time: 0.2756 data_time: 0.0040 loss: 1.8078 03/12 03:29:08 - mmengine - INFO - Epoch(train) [364][ 900/1252] lr: 4.5144e-04 eta: 1 day, 4:03:28 time: 0.3117 data_time: 0.0039 loss: 1.8056 03/12 03:29:42 - mmengine - INFO - Epoch(train) [364][1000/1252] lr: 4.5144e-04 eta: 1 day, 4:02:54 time: 0.3148 data_time: 0.0650 loss: 1.8390 03/12 03:30:16 - mmengine - INFO - Epoch(train) [364][1100/1252] lr: 4.5144e-04 eta: 1 day, 4:02:19 time: 0.3459 data_time: 0.0038 loss: 1.7782 03/12 03:30:51 - mmengine - INFO - Epoch(train) [364][1200/1252] lr: 4.5144e-04 eta: 1 day, 4:01:46 time: 0.3818 data_time: 0.0115 loss: 1.9038 03/12 03:31:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:31:08 - mmengine - INFO - Saving checkpoint at 364 epochs 03/12 03:31:33 - mmengine - INFO - Epoch(val) [364][49/49] accuracy/top1: 65.2700 accuracy/top5: 86.0560 03/12 03:32:10 - mmengine - INFO - Epoch(train) [365][ 100/1252] lr: 4.3926e-04 eta: 1 day, 4:00:55 time: 0.2956 data_time: 0.1444 loss: 1.7813 03/12 03:32:45 - mmengine - INFO - Epoch(train) [365][ 200/1252] lr: 4.3926e-04 eta: 1 day, 4:00:20 time: 0.3592 data_time: 0.0037 loss: 1.7610 03/12 03:33:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:33:18 - mmengine - INFO - Epoch(train) [365][ 300/1252] lr: 4.3926e-04 eta: 1 day, 3:59:45 time: 0.3241 data_time: 0.0042 loss: 1.7898 03/12 03:33:52 - mmengine - INFO - Epoch(train) [365][ 400/1252] lr: 4.3926e-04 eta: 1 day, 3:59:11 time: 0.2887 data_time: 0.0039 loss: 1.7391 03/12 03:34:27 - mmengine - INFO - Epoch(train) [365][ 500/1252] lr: 4.3926e-04 eta: 1 day, 3:58:38 time: 0.3731 data_time: 0.0246 loss: 1.8130 03/12 03:35:01 - mmengine - INFO - Epoch(train) [365][ 600/1252] lr: 4.3926e-04 eta: 1 day, 3:58:03 time: 0.3018 data_time: 0.0039 loss: 1.8181 03/12 03:35:35 - mmengine - INFO - Epoch(train) [365][ 700/1252] lr: 4.3926e-04 eta: 1 day, 3:57:28 time: 0.3601 data_time: 0.0721 loss: 1.7369 03/12 03:36:09 - mmengine - INFO - Epoch(train) [365][ 800/1252] lr: 4.3926e-04 eta: 1 day, 3:56:54 time: 0.3654 data_time: 0.0044 loss: 1.8563 03/12 03:36:42 - mmengine - INFO - Epoch(train) [365][ 900/1252] lr: 4.3926e-04 eta: 1 day, 3:56:19 time: 0.2656 data_time: 0.0044 loss: 1.7555 03/12 03:37:16 - mmengine - INFO - Epoch(train) [365][1000/1252] lr: 4.3926e-04 eta: 1 day, 3:55:45 time: 0.3014 data_time: 0.1104 loss: 1.7852 03/12 03:37:50 - mmengine - INFO - Epoch(train) [365][1100/1252] lr: 4.3926e-04 eta: 1 day, 3:55:11 time: 0.3510 data_time: 0.0037 loss: 1.7647 03/12 03:38:24 - mmengine - INFO - Epoch(train) [365][1200/1252] lr: 4.3926e-04 eta: 1 day, 3:54:36 time: 0.3239 data_time: 0.0037 loss: 1.7664 03/12 03:38:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:38:42 - mmengine - INFO - Saving checkpoint at 365 epochs 03/12 03:39:07 - mmengine - INFO - Epoch(val) [365][49/49] accuracy/top1: 65.8880 accuracy/top5: 86.5340 03/12 03:39:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:39:44 - mmengine - INFO - Epoch(train) [366][ 100/1252] lr: 4.3926e-04 eta: 1 day, 3:53:45 time: 0.3038 data_time: 0.1010 loss: 1.7827 03/12 03:40:18 - mmengine - INFO - Epoch(train) [366][ 200/1252] lr: 4.3926e-04 eta: 1 day, 3:53:11 time: 0.3574 data_time: 0.1427 loss: 1.8028 03/12 03:40:52 - mmengine - INFO - Epoch(train) [366][ 300/1252] lr: 4.3926e-04 eta: 1 day, 3:52:37 time: 0.4132 data_time: 0.0680 loss: 1.7823 03/12 03:41:27 - mmengine - INFO - Epoch(train) [366][ 400/1252] lr: 4.3926e-04 eta: 1 day, 3:52:03 time: 0.3321 data_time: 0.0038 loss: 1.7391 03/12 03:42:01 - mmengine - INFO - Epoch(train) [366][ 500/1252] lr: 4.3926e-04 eta: 1 day, 3:51:29 time: 0.3559 data_time: 0.0036 loss: 1.7909 03/12 03:42:35 - mmengine - INFO - Epoch(train) [366][ 600/1252] lr: 4.3926e-04 eta: 1 day, 3:50:55 time: 0.3319 data_time: 0.0039 loss: 1.9724 03/12 03:43:10 - mmengine - INFO - Epoch(train) [366][ 700/1252] lr: 4.3926e-04 eta: 1 day, 3:50:21 time: 0.3768 data_time: 0.0455 loss: 1.8652 03/12 03:43:43 - mmengine - INFO - Epoch(train) [366][ 800/1252] lr: 4.3926e-04 eta: 1 day, 3:49:46 time: 0.3354 data_time: 0.2126 loss: 1.9177 03/12 03:44:17 - mmengine - INFO - Epoch(train) [366][ 900/1252] lr: 4.3926e-04 eta: 1 day, 3:49:12 time: 0.3553 data_time: 0.0040 loss: 1.9264 03/12 03:44:52 - mmengine - INFO - Epoch(train) [366][1000/1252] lr: 4.3926e-04 eta: 1 day, 3:48:37 time: 0.3621 data_time: 0.0039 loss: 1.8781 03/12 03:44:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:45:25 - mmengine - INFO - Epoch(train) [366][1100/1252] lr: 4.3926e-04 eta: 1 day, 3:48:03 time: 0.2806 data_time: 0.1477 loss: 1.8412 03/12 03:45:59 - mmengine - INFO - Epoch(train) [366][1200/1252] lr: 4.3926e-04 eta: 1 day, 3:47:28 time: 0.3279 data_time: 0.0041 loss: 1.8637 03/12 03:46:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:46:16 - mmengine - INFO - Saving checkpoint at 366 epochs 03/12 03:46:41 - mmengine - INFO - Epoch(val) [366][49/49] accuracy/top1: 65.8920 accuracy/top5: 86.3740 03/12 03:47:18 - mmengine - INFO - Epoch(train) [367][ 100/1252] lr: 4.2740e-04 eta: 1 day, 3:46:38 time: 0.3029 data_time: 0.0037 loss: 1.8921 03/12 03:47:52 - mmengine - INFO - Epoch(train) [367][ 200/1252] lr: 4.2740e-04 eta: 1 day, 3:46:04 time: 0.3663 data_time: 0.1016 loss: 1.8929 03/12 03:48:26 - mmengine - INFO - Epoch(train) [367][ 300/1252] lr: 4.2740e-04 eta: 1 day, 3:45:29 time: 0.3049 data_time: 0.1732 loss: 1.8202 03/12 03:49:00 - mmengine - INFO - Epoch(train) [367][ 400/1252] lr: 4.2740e-04 eta: 1 day, 3:44:54 time: 0.2911 data_time: 0.0039 loss: 1.9116 03/12 03:49:34 - mmengine - INFO - Epoch(train) [367][ 500/1252] lr: 4.2740e-04 eta: 1 day, 3:44:20 time: 0.3440 data_time: 0.0036 loss: 1.8671 03/12 03:50:08 - mmengine - INFO - Epoch(train) [367][ 600/1252] lr: 4.2740e-04 eta: 1 day, 3:43:46 time: 0.2872 data_time: 0.0040 loss: 1.8227 03/12 03:50:41 - mmengine - INFO - Epoch(train) [367][ 700/1252] lr: 4.2740e-04 eta: 1 day, 3:43:11 time: 0.2790 data_time: 0.0044 loss: 1.8704 03/12 03:51:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:51:15 - mmengine - INFO - Epoch(train) [367][ 800/1252] lr: 4.2740e-04 eta: 1 day, 3:42:37 time: 0.3072 data_time: 0.0045 loss: 1.8436 03/12 03:51:50 - mmengine - INFO - Epoch(train) [367][ 900/1252] lr: 4.2740e-04 eta: 1 day, 3:42:03 time: 0.3684 data_time: 0.1284 loss: 1.8624 03/12 03:52:24 - mmengine - INFO - Epoch(train) [367][1000/1252] lr: 4.2740e-04 eta: 1 day, 3:41:28 time: 0.3958 data_time: 0.2408 loss: 1.8408 03/12 03:52:58 - mmengine - INFO - Epoch(train) [367][1100/1252] lr: 4.2740e-04 eta: 1 day, 3:40:53 time: 0.3227 data_time: 0.1482 loss: 1.7954 03/12 03:53:32 - mmengine - INFO - Epoch(train) [367][1200/1252] lr: 4.2740e-04 eta: 1 day, 3:40:19 time: 0.2800 data_time: 0.0243 loss: 1.9315 03/12 03:53:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:53:49 - mmengine - INFO - Saving checkpoint at 367 epochs 03/12 03:54:14 - mmengine - INFO - Epoch(val) [367][49/49] accuracy/top1: 66.1320 accuracy/top5: 86.4240 03/12 03:54:51 - mmengine - INFO - Epoch(train) [368][ 100/1252] lr: 4.2740e-04 eta: 1 day, 3:39:29 time: 0.3524 data_time: 0.1610 loss: 1.8291 03/12 03:55:25 - mmengine - INFO - Epoch(train) [368][ 200/1252] lr: 4.2740e-04 eta: 1 day, 3:38:54 time: 0.3431 data_time: 0.0044 loss: 1.8042 03/12 03:56:00 - mmengine - INFO - Epoch(train) [368][ 300/1252] lr: 4.2740e-04 eta: 1 day, 3:38:21 time: 0.3039 data_time: 0.0036 loss: 1.8644 03/12 03:56:33 - mmengine - INFO - Epoch(train) [368][ 400/1252] lr: 4.2740e-04 eta: 1 day, 3:37:46 time: 0.3755 data_time: 0.0038 loss: 1.7485 03/12 03:57:07 - mmengine - INFO - Epoch(train) [368][ 500/1252] lr: 4.2740e-04 eta: 1 day, 3:37:11 time: 0.2919 data_time: 0.0892 loss: 1.8033 03/12 03:57:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 03:57:41 - mmengine - INFO - Epoch(train) [368][ 600/1252] lr: 4.2740e-04 eta: 1 day, 3:36:37 time: 0.3927 data_time: 0.2110 loss: 1.7698 03/12 03:58:16 - mmengine - INFO - Epoch(train) [368][ 700/1252] lr: 4.2740e-04 eta: 1 day, 3:36:03 time: 0.4016 data_time: 0.0945 loss: 1.8251 03/12 03:58:50 - mmengine - INFO - Epoch(train) [368][ 800/1252] lr: 4.2740e-04 eta: 1 day, 3:35:28 time: 0.3259 data_time: 0.0043 loss: 1.8552 03/12 03:59:23 - mmengine - INFO - Epoch(train) [368][ 900/1252] lr: 4.2740e-04 eta: 1 day, 3:34:54 time: 0.3677 data_time: 0.0039 loss: 1.8256 03/12 03:59:57 - mmengine - INFO - Epoch(train) [368][1000/1252] lr: 4.2740e-04 eta: 1 day, 3:34:19 time: 0.2876 data_time: 0.0040 loss: 1.8445 03/12 04:00:31 - mmengine - INFO - Epoch(train) [368][1100/1252] lr: 4.2740e-04 eta: 1 day, 3:33:45 time: 0.3485 data_time: 0.0178 loss: 1.9718 03/12 04:01:05 - mmengine - INFO - Epoch(train) [368][1200/1252] lr: 4.2740e-04 eta: 1 day, 3:33:11 time: 0.3403 data_time: 0.0041 loss: 1.8013 03/12 04:01:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:01:23 - mmengine - INFO - Saving checkpoint at 368 epochs 03/12 04:01:47 - mmengine - INFO - Epoch(val) [368][49/49] accuracy/top1: 65.9480 accuracy/top5: 86.3920 03/12 04:02:24 - mmengine - INFO - Epoch(train) [369][ 100/1252] lr: 4.1586e-04 eta: 1 day, 3:32:20 time: 0.3666 data_time: 0.0038 loss: 1.8390 03/12 04:02:59 - mmengine - INFO - Epoch(train) [369][ 200/1252] lr: 4.1586e-04 eta: 1 day, 3:31:46 time: 0.3701 data_time: 0.0352 loss: 1.8151 03/12 04:03:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:03:31 - mmengine - INFO - Epoch(train) [369][ 300/1252] lr: 4.1586e-04 eta: 1 day, 3:31:11 time: 0.3372 data_time: 0.1259 loss: 1.8836 03/12 04:04:06 - mmengine - INFO - Epoch(train) [369][ 400/1252] lr: 4.1586e-04 eta: 1 day, 3:30:37 time: 0.3580 data_time: 0.0152 loss: 1.8033 03/12 04:04:40 - mmengine - INFO - Epoch(train) [369][ 500/1252] lr: 4.1586e-04 eta: 1 day, 3:30:02 time: 0.3245 data_time: 0.1494 loss: 1.9128 03/12 04:05:14 - mmengine - INFO - Epoch(train) [369][ 600/1252] lr: 4.1586e-04 eta: 1 day, 3:29:28 time: 0.2978 data_time: 0.0045 loss: 1.8797 03/12 04:05:48 - mmengine - INFO - Epoch(train) [369][ 700/1252] lr: 4.1586e-04 eta: 1 day, 3:28:53 time: 0.3855 data_time: 0.0654 loss: 1.8221 03/12 04:06:22 - mmengine - INFO - Epoch(train) [369][ 800/1252] lr: 4.1586e-04 eta: 1 day, 3:28:19 time: 0.3545 data_time: 0.0501 loss: 1.8669 03/12 04:06:56 - mmengine - INFO - Epoch(train) [369][ 900/1252] lr: 4.1586e-04 eta: 1 day, 3:27:45 time: 0.3409 data_time: 0.0039 loss: 1.8630 03/12 04:07:30 - mmengine - INFO - Epoch(train) [369][1000/1252] lr: 4.1586e-04 eta: 1 day, 3:27:10 time: 0.3457 data_time: 0.0760 loss: 1.8208 03/12 04:08:04 - mmengine - INFO - Epoch(train) [369][1100/1252] lr: 4.1586e-04 eta: 1 day, 3:26:36 time: 0.3875 data_time: 0.0040 loss: 1.8170 03/12 04:08:39 - mmengine - INFO - Epoch(train) [369][1200/1252] lr: 4.1586e-04 eta: 1 day, 3:26:02 time: 0.3337 data_time: 0.0037 loss: 1.8763 03/12 04:08:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:08:55 - mmengine - INFO - Saving checkpoint at 369 epochs 03/12 04:09:20 - mmengine - INFO - Epoch(val) [369][49/49] accuracy/top1: 65.3620 accuracy/top5: 86.0060 03/12 04:09:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:09:56 - mmengine - INFO - Epoch(train) [370][ 100/1252] lr: 4.1586e-04 eta: 1 day, 3:25:11 time: 0.3141 data_time: 0.0120 loss: 1.8383 03/12 04:10:32 - mmengine - INFO - Epoch(train) [370][ 200/1252] lr: 4.1586e-04 eta: 1 day, 3:24:37 time: 0.3296 data_time: 0.0042 loss: 1.7501 03/12 04:11:06 - mmengine - INFO - Epoch(train) [370][ 300/1252] lr: 4.1586e-04 eta: 1 day, 3:24:03 time: 0.3895 data_time: 0.0041 loss: 1.8894 03/12 04:11:40 - mmengine - INFO - Epoch(train) [370][ 400/1252] lr: 4.1586e-04 eta: 1 day, 3:23:28 time: 0.3183 data_time: 0.0428 loss: 1.7423 03/12 04:12:14 - mmengine - INFO - Epoch(train) [370][ 500/1252] lr: 4.1586e-04 eta: 1 day, 3:22:54 time: 0.3851 data_time: 0.0385 loss: 1.8139 03/12 04:12:48 - mmengine - INFO - Epoch(train) [370][ 600/1252] lr: 4.1586e-04 eta: 1 day, 3:22:20 time: 0.3432 data_time: 0.0039 loss: 1.7466 03/12 04:13:22 - mmengine - INFO - Epoch(train) [370][ 700/1252] lr: 4.1586e-04 eta: 1 day, 3:21:45 time: 0.3443 data_time: 0.0092 loss: 1.8260 03/12 04:13:56 - mmengine - INFO - Epoch(train) [370][ 800/1252] lr: 4.1586e-04 eta: 1 day, 3:21:11 time: 0.3758 data_time: 0.0039 loss: 1.8508 03/12 04:14:30 - mmengine - INFO - Epoch(train) [370][ 900/1252] lr: 4.1586e-04 eta: 1 day, 3:20:37 time: 0.3142 data_time: 0.0038 loss: 1.7886 03/12 04:15:05 - mmengine - INFO - Epoch(train) [370][1000/1252] lr: 4.1586e-04 eta: 1 day, 3:20:03 time: 0.4018 data_time: 0.0034 loss: 1.9264 03/12 04:15:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:15:39 - mmengine - INFO - Epoch(train) [370][1100/1252] lr: 4.1586e-04 eta: 1 day, 3:19:28 time: 0.3006 data_time: 0.0501 loss: 1.7887 03/12 04:16:14 - mmengine - INFO - Epoch(train) [370][1200/1252] lr: 4.1586e-04 eta: 1 day, 3:18:55 time: 0.3639 data_time: 0.0388 loss: 1.7464 03/12 04:16:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:16:30 - mmengine - INFO - Saving checkpoint at 370 epochs 03/12 04:16:56 - mmengine - INFO - Epoch(val) [370][49/49] accuracy/top1: 65.8320 accuracy/top5: 86.4480 03/12 04:17:32 - mmengine - INFO - Epoch(train) [371][ 100/1252] lr: 4.0463e-04 eta: 1 day, 3:18:03 time: 0.3416 data_time: 0.0043 loss: 1.8259 03/12 04:18:06 - mmengine - INFO - Epoch(train) [371][ 200/1252] lr: 4.0463e-04 eta: 1 day, 3:17:29 time: 0.2945 data_time: 0.0047 loss: 1.7691 03/12 04:18:41 - mmengine - INFO - Epoch(train) [371][ 300/1252] lr: 4.0463e-04 eta: 1 day, 3:16:55 time: 0.3176 data_time: 0.0039 loss: 1.7470 03/12 04:19:15 - mmengine - INFO - Epoch(train) [371][ 400/1252] lr: 4.0463e-04 eta: 1 day, 3:16:20 time: 0.3691 data_time: 0.0037 loss: 1.8151 03/12 04:19:48 - mmengine - INFO - Epoch(train) [371][ 500/1252] lr: 4.0463e-04 eta: 1 day, 3:15:45 time: 0.3100 data_time: 0.0039 loss: 1.8643 03/12 04:20:22 - mmengine - INFO - Epoch(train) [371][ 600/1252] lr: 4.0463e-04 eta: 1 day, 3:15:11 time: 0.3445 data_time: 0.0628 loss: 1.7927 03/12 04:20:56 - mmengine - INFO - Epoch(train) [371][ 700/1252] lr: 4.0463e-04 eta: 1 day, 3:14:36 time: 0.3100 data_time: 0.0038 loss: 1.8812 03/12 04:21:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:21:30 - mmengine - INFO - Epoch(train) [371][ 800/1252] lr: 4.0463e-04 eta: 1 day, 3:14:02 time: 0.3725 data_time: 0.0555 loss: 1.9218 03/12 04:22:06 - mmengine - INFO - Epoch(train) [371][ 900/1252] lr: 4.0463e-04 eta: 1 day, 3:13:29 time: 0.4002 data_time: 0.0039 loss: 1.8679 03/12 04:22:38 - mmengine - INFO - Epoch(train) [371][1000/1252] lr: 4.0463e-04 eta: 1 day, 3:12:53 time: 0.2953 data_time: 0.0046 loss: 1.7591 03/12 04:23:12 - mmengine - INFO - Epoch(train) [371][1100/1252] lr: 4.0463e-04 eta: 1 day, 3:12:19 time: 0.3553 data_time: 0.0166 loss: 1.7802 03/12 04:23:46 - mmengine - INFO - Epoch(train) [371][1200/1252] lr: 4.0463e-04 eta: 1 day, 3:11:45 time: 0.3192 data_time: 0.0202 loss: 1.7795 03/12 04:24:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:24:04 - mmengine - INFO - Saving checkpoint at 371 epochs 03/12 04:24:27 - mmengine - INFO - Epoch(val) [371][49/49] accuracy/top1: 65.8020 accuracy/top5: 86.3820 03/12 04:25:04 - mmengine - INFO - Epoch(train) [372][ 100/1252] lr: 4.0463e-04 eta: 1 day, 3:10:54 time: 0.3865 data_time: 0.0435 loss: 1.8314 03/12 04:25:39 - mmengine - INFO - Epoch(train) [372][ 200/1252] lr: 4.0463e-04 eta: 1 day, 3:10:20 time: 0.4022 data_time: 0.1997 loss: 1.8261 03/12 04:26:12 - mmengine - INFO - Epoch(train) [372][ 300/1252] lr: 4.0463e-04 eta: 1 day, 3:09:45 time: 0.2993 data_time: 0.0794 loss: 1.8511 03/12 04:26:46 - mmengine - INFO - Epoch(train) [372][ 400/1252] lr: 4.0463e-04 eta: 1 day, 3:09:10 time: 0.3157 data_time: 0.1433 loss: 1.8583 03/12 04:27:20 - mmengine - INFO - Epoch(train) [372][ 500/1252] lr: 4.0463e-04 eta: 1 day, 3:08:36 time: 0.3345 data_time: 0.0092 loss: 1.8817 03/12 04:27:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:27:54 - mmengine - INFO - Epoch(train) [372][ 600/1252] lr: 4.0463e-04 eta: 1 day, 3:08:02 time: 0.3699 data_time: 0.1265 loss: 1.8431 03/12 04:28:29 - mmengine - INFO - Epoch(train) [372][ 700/1252] lr: 4.0463e-04 eta: 1 day, 3:07:28 time: 0.2887 data_time: 0.0046 loss: 1.8702 03/12 04:29:03 - mmengine - INFO - Epoch(train) [372][ 800/1252] lr: 4.0463e-04 eta: 1 day, 3:06:54 time: 0.2886 data_time: 0.0045 loss: 1.7595 03/12 04:29:36 - mmengine - INFO - Epoch(train) [372][ 900/1252] lr: 4.0463e-04 eta: 1 day, 3:06:19 time: 0.3191 data_time: 0.1219 loss: 1.8081 03/12 04:30:11 - mmengine - INFO - Epoch(train) [372][1000/1252] lr: 4.0463e-04 eta: 1 day, 3:05:45 time: 0.3257 data_time: 0.0092 loss: 1.7278 03/12 04:30:45 - mmengine - INFO - Epoch(train) [372][1100/1252] lr: 4.0463e-04 eta: 1 day, 3:05:11 time: 0.3639 data_time: 0.0042 loss: 1.7483 03/12 04:31:19 - mmengine - INFO - Epoch(train) [372][1200/1252] lr: 4.0463e-04 eta: 1 day, 3:04:36 time: 0.3969 data_time: 0.2271 loss: 1.8436 03/12 04:31:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:31:35 - mmengine - INFO - Saving checkpoint at 372 epochs 03/12 04:32:00 - mmengine - INFO - Epoch(val) [372][49/49] accuracy/top1: 65.7300 accuracy/top5: 86.2300 03/12 04:32:37 - mmengine - INFO - Epoch(train) [373][ 100/1252] lr: 3.9370e-04 eta: 1 day, 3:03:45 time: 0.3478 data_time: 0.0041 loss: 1.8724 03/12 04:33:11 - mmengine - INFO - Epoch(train) [373][ 200/1252] lr: 3.9370e-04 eta: 1 day, 3:03:10 time: 0.3334 data_time: 0.1267 loss: 1.7860 03/12 04:33:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:33:44 - mmengine - INFO - Epoch(train) [373][ 300/1252] lr: 3.9370e-04 eta: 1 day, 3:02:36 time: 0.3538 data_time: 0.0045 loss: 1.9591 03/12 04:34:19 - mmengine - INFO - Epoch(train) [373][ 400/1252] lr: 3.9370e-04 eta: 1 day, 3:02:02 time: 0.3546 data_time: 0.0038 loss: 1.7826 03/12 04:34:52 - mmengine - INFO - Epoch(train) [373][ 500/1252] lr: 3.9370e-04 eta: 1 day, 3:01:27 time: 0.3143 data_time: 0.0039 loss: 1.7461 03/12 04:35:27 - mmengine - INFO - Epoch(train) [373][ 600/1252] lr: 3.9370e-04 eta: 1 day, 3:00:53 time: 0.3542 data_time: 0.0237 loss: 1.7257 03/12 04:36:01 - mmengine - INFO - Epoch(train) [373][ 700/1252] lr: 3.9370e-04 eta: 1 day, 3:00:19 time: 0.3321 data_time: 0.0042 loss: 1.8858 03/12 04:36:36 - mmengine - INFO - Epoch(train) [373][ 800/1252] lr: 3.9370e-04 eta: 1 day, 2:59:45 time: 0.3665 data_time: 0.0109 loss: 1.8267 03/12 04:37:09 - mmengine - INFO - Epoch(train) [373][ 900/1252] lr: 3.9370e-04 eta: 1 day, 2:59:10 time: 0.3708 data_time: 0.0043 loss: 1.7807 03/12 04:37:43 - mmengine - INFO - Epoch(train) [373][1000/1252] lr: 3.9370e-04 eta: 1 day, 2:58:36 time: 0.3405 data_time: 0.2103 loss: 1.9153 03/12 04:38:17 - mmengine - INFO - Epoch(train) [373][1100/1252] lr: 3.9370e-04 eta: 1 day, 2:58:01 time: 0.3715 data_time: 0.0040 loss: 1.7957 03/12 04:38:51 - mmengine - INFO - Epoch(train) [373][1200/1252] lr: 3.9370e-04 eta: 1 day, 2:57:26 time: 0.3353 data_time: 0.0047 loss: 1.8144 03/12 04:39:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:39:07 - mmengine - INFO - Saving checkpoint at 373 epochs 03/12 04:39:33 - mmengine - INFO - Epoch(val) [373][49/49] accuracy/top1: 66.0900 accuracy/top5: 86.5820 03/12 04:39:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:40:10 - mmengine - INFO - Epoch(train) [374][ 100/1252] lr: 3.9370e-04 eta: 1 day, 2:56:35 time: 0.4219 data_time: 0.0716 loss: 1.7927 03/12 04:40:44 - mmengine - INFO - Epoch(train) [374][ 200/1252] lr: 3.9370e-04 eta: 1 day, 2:56:01 time: 0.3291 data_time: 0.0038 loss: 1.6526 03/12 04:41:18 - mmengine - INFO - Epoch(train) [374][ 300/1252] lr: 3.9370e-04 eta: 1 day, 2:55:27 time: 0.3589 data_time: 0.0040 loss: 1.7868 03/12 04:41:52 - mmengine - INFO - Epoch(train) [374][ 400/1252] lr: 3.9370e-04 eta: 1 day, 2:54:53 time: 0.3137 data_time: 0.0037 loss: 1.7608 03/12 04:42:26 - mmengine - INFO - Epoch(train) [374][ 500/1252] lr: 3.9370e-04 eta: 1 day, 2:54:18 time: 0.3274 data_time: 0.0052 loss: 1.7286 03/12 04:43:01 - mmengine - INFO - Epoch(train) [374][ 600/1252] lr: 3.9370e-04 eta: 1 day, 2:53:44 time: 0.3630 data_time: 0.0043 loss: 1.6974 03/12 04:43:34 - mmengine - INFO - Epoch(train) [374][ 700/1252] lr: 3.9370e-04 eta: 1 day, 2:53:09 time: 0.3311 data_time: 0.0048 loss: 1.8765 03/12 04:44:08 - mmengine - INFO - Epoch(train) [374][ 800/1252] lr: 3.9370e-04 eta: 1 day, 2:52:35 time: 0.3145 data_time: 0.1936 loss: 1.8536 03/12 04:44:42 - mmengine - INFO - Epoch(train) [374][ 900/1252] lr: 3.9370e-04 eta: 1 day, 2:52:00 time: 0.3487 data_time: 0.0521 loss: 1.8457 03/12 04:45:16 - mmengine - INFO - Epoch(train) [374][1000/1252] lr: 3.9370e-04 eta: 1 day, 2:51:26 time: 0.3280 data_time: 0.1505 loss: 1.8179 03/12 04:45:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:45:51 - mmengine - INFO - Epoch(train) [374][1100/1252] lr: 3.9370e-04 eta: 1 day, 2:50:52 time: 0.4485 data_time: 0.0037 loss: 1.7577 03/12 04:46:25 - mmengine - INFO - Epoch(train) [374][1200/1252] lr: 3.9370e-04 eta: 1 day, 2:50:18 time: 0.3338 data_time: 0.0039 loss: 1.8240 03/12 04:46:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:46:42 - mmengine - INFO - Saving checkpoint at 374 epochs 03/12 04:47:07 - mmengine - INFO - Epoch(val) [374][49/49] accuracy/top1: 65.7580 accuracy/top5: 86.3600 03/12 04:47:45 - mmengine - INFO - Epoch(train) [375][ 100/1252] lr: 3.8307e-04 eta: 1 day, 2:49:27 time: 0.4030 data_time: 0.0042 loss: 1.8956 03/12 04:48:19 - mmengine - INFO - Epoch(train) [375][ 200/1252] lr: 3.8307e-04 eta: 1 day, 2:48:53 time: 0.4225 data_time: 0.0042 loss: 1.8482 03/12 04:48:52 - mmengine - INFO - Epoch(train) [375][ 300/1252] lr: 3.8307e-04 eta: 1 day, 2:48:18 time: 0.3631 data_time: 0.0212 loss: 1.7536 03/12 04:49:25 - mmengine - INFO - Epoch(train) [375][ 400/1252] lr: 3.8307e-04 eta: 1 day, 2:47:43 time: 0.3675 data_time: 0.0042 loss: 1.7646 03/12 04:50:00 - mmengine - INFO - Epoch(train) [375][ 500/1252] lr: 3.8307e-04 eta: 1 day, 2:47:09 time: 0.3443 data_time: 0.0038 loss: 1.8854 03/12 04:50:34 - mmengine - INFO - Epoch(train) [375][ 600/1252] lr: 3.8307e-04 eta: 1 day, 2:46:35 time: 0.3093 data_time: 0.1653 loss: 1.8260 03/12 04:51:08 - mmengine - INFO - Epoch(train) [375][ 700/1252] lr: 3.8307e-04 eta: 1 day, 2:46:00 time: 0.3130 data_time: 0.0047 loss: 1.8980 03/12 04:51:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:51:42 - mmengine - INFO - Epoch(train) [375][ 800/1252] lr: 3.8307e-04 eta: 1 day, 2:45:26 time: 0.4075 data_time: 0.0213 loss: 1.7488 03/12 04:52:16 - mmengine - INFO - Epoch(train) [375][ 900/1252] lr: 3.8307e-04 eta: 1 day, 2:44:51 time: 0.3328 data_time: 0.0040 loss: 1.8323 03/12 04:52:50 - mmengine - INFO - Epoch(train) [375][1000/1252] lr: 3.8307e-04 eta: 1 day, 2:44:17 time: 0.3403 data_time: 0.0037 loss: 1.7409 03/12 04:53:24 - mmengine - INFO - Epoch(train) [375][1100/1252] lr: 3.8307e-04 eta: 1 day, 2:43:43 time: 0.3012 data_time: 0.0038 loss: 1.7722 03/12 04:53:59 - mmengine - INFO - Epoch(train) [375][1200/1252] lr: 3.8307e-04 eta: 1 day, 2:43:09 time: 0.4124 data_time: 0.0042 loss: 1.8870 03/12 04:54:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:54:15 - mmengine - INFO - Saving checkpoint at 375 epochs 03/12 04:54:39 - mmengine - INFO - Epoch(val) [375][49/49] accuracy/top1: 65.5640 accuracy/top5: 86.3280 03/12 04:55:16 - mmengine - INFO - Epoch(train) [376][ 100/1252] lr: 3.8307e-04 eta: 1 day, 2:42:18 time: 0.3165 data_time: 0.0043 loss: 1.7830 03/12 04:55:50 - mmengine - INFO - Epoch(train) [376][ 200/1252] lr: 3.8307e-04 eta: 1 day, 2:41:43 time: 0.3032 data_time: 0.0079 loss: 1.7247 03/12 04:56:25 - mmengine - INFO - Epoch(train) [376][ 300/1252] lr: 3.8307e-04 eta: 1 day, 2:41:09 time: 0.3556 data_time: 0.0144 loss: 1.8187 03/12 04:56:58 - mmengine - INFO - Epoch(train) [376][ 400/1252] lr: 3.8307e-04 eta: 1 day, 2:40:34 time: 0.3028 data_time: 0.0037 loss: 1.7518 03/12 04:57:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 04:57:33 - mmengine - INFO - Epoch(train) [376][ 500/1252] lr: 3.8307e-04 eta: 1 day, 2:40:00 time: 0.3266 data_time: 0.0190 loss: 1.8617 03/12 04:58:07 - mmengine - INFO - Epoch(train) [376][ 600/1252] lr: 3.8307e-04 eta: 1 day, 2:39:26 time: 0.3284 data_time: 0.0037 loss: 1.7872 03/12 04:58:41 - mmengine - INFO - Epoch(train) [376][ 700/1252] lr: 3.8307e-04 eta: 1 day, 2:38:52 time: 0.3578 data_time: 0.0137 loss: 1.7795 03/12 04:59:15 - mmengine - INFO - Epoch(train) [376][ 800/1252] lr: 3.8307e-04 eta: 1 day, 2:38:17 time: 0.3166 data_time: 0.0040 loss: 1.8448 03/12 04:59:49 - mmengine - INFO - Epoch(train) [376][ 900/1252] lr: 3.8307e-04 eta: 1 day, 2:37:43 time: 0.2958 data_time: 0.0094 loss: 1.7216 03/12 05:00:24 - mmengine - INFO - Epoch(train) [376][1000/1252] lr: 3.8307e-04 eta: 1 day, 2:37:10 time: 0.4267 data_time: 0.2739 loss: 1.7639 03/12 05:00:58 - mmengine - INFO - Epoch(train) [376][1100/1252] lr: 3.8307e-04 eta: 1 day, 2:36:35 time: 0.3139 data_time: 0.0041 loss: 1.8497 03/12 05:01:32 - mmengine - INFO - Epoch(train) [376][1200/1252] lr: 3.8307e-04 eta: 1 day, 2:36:01 time: 0.3444 data_time: 0.1591 loss: 1.8320 03/12 05:01:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:01:49 - mmengine - INFO - Saving checkpoint at 376 epochs 03/12 05:02:13 - mmengine - INFO - Epoch(val) [376][49/49] accuracy/top1: 65.6620 accuracy/top5: 86.3200 03/12 05:02:50 - mmengine - INFO - Epoch(train) [377][ 100/1252] lr: 3.7273e-04 eta: 1 day, 2:35:10 time: 0.3788 data_time: 0.0044 loss: 1.7724 03/12 05:03:24 - mmengine - INFO - Epoch(train) [377][ 200/1252] lr: 3.7273e-04 eta: 1 day, 2:34:35 time: 0.3623 data_time: 0.0797 loss: 1.7661 03/12 05:03:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:03:58 - mmengine - INFO - Epoch(train) [377][ 300/1252] lr: 3.7273e-04 eta: 1 day, 2:34:01 time: 0.3257 data_time: 0.0040 loss: 1.7280 03/12 05:04:32 - mmengine - INFO - Epoch(train) [377][ 400/1252] lr: 3.7273e-04 eta: 1 day, 2:33:26 time: 0.3274 data_time: 0.0038 loss: 1.8225 03/12 05:05:07 - mmengine - INFO - Epoch(train) [377][ 500/1252] lr: 3.7273e-04 eta: 1 day, 2:32:53 time: 0.3736 data_time: 0.2455 loss: 1.8061 03/12 05:05:41 - mmengine - INFO - Epoch(train) [377][ 600/1252] lr: 3.7273e-04 eta: 1 day, 2:32:18 time: 0.3256 data_time: 0.1070 loss: 1.8376 03/12 05:06:15 - mmengine - INFO - Epoch(train) [377][ 700/1252] lr: 3.7273e-04 eta: 1 day, 2:31:44 time: 0.3563 data_time: 0.0545 loss: 1.8694 03/12 05:06:49 - mmengine - INFO - Epoch(train) [377][ 800/1252] lr: 3.7273e-04 eta: 1 day, 2:31:10 time: 0.2977 data_time: 0.1289 loss: 1.9963 03/12 05:07:23 - mmengine - INFO - Epoch(train) [377][ 900/1252] lr: 3.7273e-04 eta: 1 day, 2:30:35 time: 0.3316 data_time: 0.1324 loss: 1.7595 03/12 05:07:58 - mmengine - INFO - Epoch(train) [377][1000/1252] lr: 3.7273e-04 eta: 1 day, 2:30:02 time: 0.3793 data_time: 0.0041 loss: 1.8605 03/12 05:08:32 - mmengine - INFO - Epoch(train) [377][1100/1252] lr: 3.7273e-04 eta: 1 day, 2:29:27 time: 0.3896 data_time: 0.0042 loss: 1.8164 03/12 05:09:06 - mmengine - INFO - Epoch(train) [377][1200/1252] lr: 3.7273e-04 eta: 1 day, 2:28:53 time: 0.3487 data_time: 0.0052 loss: 1.7130 03/12 05:09:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:09:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:09:23 - mmengine - INFO - Saving checkpoint at 377 epochs 03/12 05:09:49 - mmengine - INFO - Epoch(val) [377][49/49] accuracy/top1: 66.2160 accuracy/top5: 86.5880 03/12 05:10:25 - mmengine - INFO - Epoch(train) [378][ 100/1252] lr: 3.7273e-04 eta: 1 day, 2:28:01 time: 0.3470 data_time: 0.0038 loss: 1.8047 03/12 05:10:59 - mmengine - INFO - Epoch(train) [378][ 200/1252] lr: 3.7273e-04 eta: 1 day, 2:27:27 time: 0.3334 data_time: 0.2133 loss: 1.7862 03/12 05:11:34 - mmengine - INFO - Epoch(train) [378][ 300/1252] lr: 3.7273e-04 eta: 1 day, 2:26:53 time: 0.3368 data_time: 0.1119 loss: 1.8566 03/12 05:12:08 - mmengine - INFO - Epoch(train) [378][ 400/1252] lr: 3.7273e-04 eta: 1 day, 2:26:19 time: 0.3767 data_time: 0.0043 loss: 1.7997 03/12 05:12:41 - mmengine - INFO - Epoch(train) [378][ 500/1252] lr: 3.7273e-04 eta: 1 day, 2:25:44 time: 0.3160 data_time: 0.0038 loss: 1.7033 03/12 05:13:15 - mmengine - INFO - Epoch(train) [378][ 600/1252] lr: 3.7273e-04 eta: 1 day, 2:25:10 time: 0.3571 data_time: 0.0232 loss: 1.8110 03/12 05:13:49 - mmengine - INFO - Epoch(train) [378][ 700/1252] lr: 3.7273e-04 eta: 1 day, 2:24:35 time: 0.3072 data_time: 0.0037 loss: 1.7312 03/12 05:14:25 - mmengine - INFO - Epoch(train) [378][ 800/1252] lr: 3.7273e-04 eta: 1 day, 2:24:02 time: 0.3067 data_time: 0.0044 loss: 1.8412 03/12 05:14:58 - mmengine - INFO - Epoch(train) [378][ 900/1252] lr: 3.7273e-04 eta: 1 day, 2:23:27 time: 0.3247 data_time: 0.1760 loss: 1.9008 03/12 05:15:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:15:32 - mmengine - INFO - Epoch(train) [378][1000/1252] lr: 3.7273e-04 eta: 1 day, 2:22:53 time: 0.3910 data_time: 0.1514 loss: 1.7291 03/12 05:16:06 - mmengine - INFO - Epoch(train) [378][1100/1252] lr: 3.7273e-04 eta: 1 day, 2:22:19 time: 0.3489 data_time: 0.0510 loss: 1.8536 03/12 05:16:40 - mmengine - INFO - Epoch(train) [378][1200/1252] lr: 3.7273e-04 eta: 1 day, 2:21:44 time: 0.3044 data_time: 0.0041 loss: 1.9028 03/12 05:16:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:16:58 - mmengine - INFO - Saving checkpoint at 378 epochs 03/12 05:17:23 - mmengine - INFO - Epoch(val) [378][49/49] accuracy/top1: 66.1540 accuracy/top5: 86.4520 03/12 05:18:00 - mmengine - INFO - Epoch(train) [379][ 100/1252] lr: 3.6267e-04 eta: 1 day, 2:20:54 time: 0.3653 data_time: 0.0796 loss: 1.8510 03/12 05:18:34 - mmengine - INFO - Epoch(train) [379][ 200/1252] lr: 3.6267e-04 eta: 1 day, 2:20:19 time: 0.3291 data_time: 0.0041 loss: 1.7929 03/12 05:19:08 - mmengine - INFO - Epoch(train) [379][ 300/1252] lr: 3.6267e-04 eta: 1 day, 2:19:45 time: 0.4277 data_time: 0.1695 loss: 1.7710 03/12 05:19:42 - mmengine - INFO - Epoch(train) [379][ 400/1252] lr: 3.6267e-04 eta: 1 day, 2:19:11 time: 0.3711 data_time: 0.0035 loss: 1.7923 03/12 05:20:16 - mmengine - INFO - Epoch(train) [379][ 500/1252] lr: 3.6267e-04 eta: 1 day, 2:18:36 time: 0.3092 data_time: 0.0037 loss: 1.7582 03/12 05:20:50 - mmengine - INFO - Epoch(train) [379][ 600/1252] lr: 3.6267e-04 eta: 1 day, 2:18:02 time: 0.3254 data_time: 0.0041 loss: 1.8125 03/12 05:21:23 - mmengine - INFO - Epoch(train) [379][ 700/1252] lr: 3.6267e-04 eta: 1 day, 2:17:27 time: 0.3265 data_time: 0.0039 loss: 1.8328 03/12 05:21:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:21:58 - mmengine - INFO - Epoch(train) [379][ 800/1252] lr: 3.6267e-04 eta: 1 day, 2:16:53 time: 0.3230 data_time: 0.0038 loss: 1.7627 03/12 05:22:33 - mmengine - INFO - Epoch(train) [379][ 900/1252] lr: 3.6267e-04 eta: 1 day, 2:16:19 time: 0.3144 data_time: 0.0041 loss: 1.7714 03/12 05:23:07 - mmengine - INFO - Epoch(train) [379][1000/1252] lr: 3.6267e-04 eta: 1 day, 2:15:45 time: 0.3596 data_time: 0.0465 loss: 1.8462 03/12 05:23:40 - mmengine - INFO - Epoch(train) [379][1100/1252] lr: 3.6267e-04 eta: 1 day, 2:15:10 time: 0.2913 data_time: 0.0045 loss: 1.8614 03/12 05:24:15 - mmengine - INFO - Epoch(train) [379][1200/1252] lr: 3.6267e-04 eta: 1 day, 2:14:36 time: 0.3537 data_time: 0.2165 loss: 1.8806 03/12 05:24:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:24:32 - mmengine - INFO - Saving checkpoint at 379 epochs 03/12 05:24:56 - mmengine - INFO - Epoch(val) [379][49/49] accuracy/top1: 65.7440 accuracy/top5: 86.4260 03/12 05:25:33 - mmengine - INFO - Epoch(train) [380][ 100/1252] lr: 3.6267e-04 eta: 1 day, 2:13:46 time: 0.3276 data_time: 0.1873 loss: 1.8181 03/12 05:26:07 - mmengine - INFO - Epoch(train) [380][ 200/1252] lr: 3.6267e-04 eta: 1 day, 2:13:11 time: 0.3915 data_time: 0.0835 loss: 1.7967 03/12 05:26:41 - mmengine - INFO - Epoch(train) [380][ 300/1252] lr: 3.6267e-04 eta: 1 day, 2:12:37 time: 0.3511 data_time: 0.1139 loss: 1.9007 03/12 05:27:16 - mmengine - INFO - Epoch(train) [380][ 400/1252] lr: 3.6267e-04 eta: 1 day, 2:12:03 time: 0.3666 data_time: 0.0041 loss: 1.7766 03/12 05:27:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:27:49 - mmengine - INFO - Epoch(train) [380][ 500/1252] lr: 3.6267e-04 eta: 1 day, 2:11:28 time: 0.3674 data_time: 0.0038 loss: 1.8682 03/12 05:28:23 - mmengine - INFO - Epoch(train) [380][ 600/1252] lr: 3.6267e-04 eta: 1 day, 2:10:54 time: 0.2940 data_time: 0.0040 loss: 1.8783 03/12 05:28:58 - mmengine - INFO - Epoch(train) [380][ 700/1252] lr: 3.6267e-04 eta: 1 day, 2:10:20 time: 0.3048 data_time: 0.0044 loss: 1.7904 03/12 05:29:32 - mmengine - INFO - Epoch(train) [380][ 800/1252] lr: 3.6267e-04 eta: 1 day, 2:09:46 time: 0.3387 data_time: 0.1499 loss: 1.8911 03/12 05:30:06 - mmengine - INFO - Epoch(train) [380][ 900/1252] lr: 3.6267e-04 eta: 1 day, 2:09:11 time: 0.3590 data_time: 0.0047 loss: 1.8497 03/12 05:30:40 - mmengine - INFO - Epoch(train) [380][1000/1252] lr: 3.6267e-04 eta: 1 day, 2:08:37 time: 0.3367 data_time: 0.0041 loss: 1.8847 03/12 05:31:14 - mmengine - INFO - Epoch(train) [380][1100/1252] lr: 3.6267e-04 eta: 1 day, 2:08:02 time: 0.3537 data_time: 0.0042 loss: 1.8359 03/12 05:31:48 - mmengine - INFO - Epoch(train) [380][1200/1252] lr: 3.6267e-04 eta: 1 day, 2:07:28 time: 0.3843 data_time: 0.2064 loss: 1.8025 03/12 05:32:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:32:05 - mmengine - INFO - Saving checkpoint at 380 epochs 03/12 05:32:30 - mmengine - INFO - Epoch(val) [380][49/49] accuracy/top1: 66.0500 accuracy/top5: 86.4620 03/12 05:33:07 - mmengine - INFO - Epoch(train) [381][ 100/1252] lr: 3.5287e-04 eta: 1 day, 2:06:37 time: 0.3390 data_time: 0.0130 loss: 1.8510 03/12 05:33:41 - mmengine - INFO - Epoch(train) [381][ 200/1252] lr: 3.5287e-04 eta: 1 day, 2:06:03 time: 0.3290 data_time: 0.0048 loss: 1.6887 03/12 05:33:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:34:16 - mmengine - INFO - Epoch(train) [381][ 300/1252] lr: 3.5287e-04 eta: 1 day, 2:05:29 time: 0.3331 data_time: 0.0317 loss: 1.8081 03/12 05:34:49 - mmengine - INFO - Epoch(train) [381][ 400/1252] lr: 3.5287e-04 eta: 1 day, 2:04:54 time: 0.2982 data_time: 0.0441 loss: 1.8173 03/12 05:35:23 - mmengine - INFO - Epoch(train) [381][ 500/1252] lr: 3.5287e-04 eta: 1 day, 2:04:20 time: 0.3538 data_time: 0.0040 loss: 1.6872 03/12 05:35:58 - mmengine - INFO - Epoch(train) [381][ 600/1252] lr: 3.5287e-04 eta: 1 day, 2:03:46 time: 0.3876 data_time: 0.0042 loss: 1.8646 03/12 05:36:32 - mmengine - INFO - Epoch(train) [381][ 700/1252] lr: 3.5287e-04 eta: 1 day, 2:03:11 time: 0.3416 data_time: 0.0229 loss: 1.9168 03/12 05:37:06 - mmengine - INFO - Epoch(train) [381][ 800/1252] lr: 3.5287e-04 eta: 1 day, 2:02:37 time: 0.3909 data_time: 0.0917 loss: 1.8007 03/12 05:37:39 - mmengine - INFO - Epoch(train) [381][ 900/1252] lr: 3.5287e-04 eta: 1 day, 2:02:02 time: 0.3522 data_time: 0.0950 loss: 1.8130 03/12 05:38:13 - mmengine - INFO - Epoch(train) [381][1000/1252] lr: 3.5287e-04 eta: 1 day, 2:01:28 time: 0.3361 data_time: 0.0298 loss: 1.7185 03/12 05:38:47 - mmengine - INFO - Epoch(train) [381][1100/1252] lr: 3.5287e-04 eta: 1 day, 2:00:53 time: 0.3479 data_time: 0.0096 loss: 1.8589 03/12 05:39:21 - mmengine - INFO - Epoch(train) [381][1200/1252] lr: 3.5287e-04 eta: 1 day, 2:00:19 time: 0.2970 data_time: 0.0040 loss: 1.6744 03/12 05:39:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:39:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:39:38 - mmengine - INFO - Saving checkpoint at 381 epochs 03/12 05:40:03 - mmengine - INFO - Epoch(val) [381][49/49] accuracy/top1: 66.2040 accuracy/top5: 86.4900 03/12 05:40:39 - mmengine - INFO - Epoch(train) [382][ 100/1252] lr: 3.5287e-04 eta: 1 day, 1:59:28 time: 0.3352 data_time: 0.0036 loss: 1.8187 03/12 05:41:13 - mmengine - INFO - Epoch(train) [382][ 200/1252] lr: 3.5287e-04 eta: 1 day, 1:58:54 time: 0.3617 data_time: 0.0045 loss: 1.8276 03/12 05:41:48 - mmengine - INFO - Epoch(train) [382][ 300/1252] lr: 3.5287e-04 eta: 1 day, 1:58:20 time: 0.3904 data_time: 0.2110 loss: 1.8198 03/12 05:42:21 - mmengine - INFO - Epoch(train) [382][ 400/1252] lr: 3.5287e-04 eta: 1 day, 1:57:45 time: 0.3547 data_time: 0.0317 loss: 1.7562 03/12 05:42:55 - mmengine - INFO - Epoch(train) [382][ 500/1252] lr: 3.5287e-04 eta: 1 day, 1:57:11 time: 0.3301 data_time: 0.0421 loss: 1.8432 03/12 05:43:29 - mmengine - INFO - Epoch(train) [382][ 600/1252] lr: 3.5287e-04 eta: 1 day, 1:56:36 time: 0.3115 data_time: 0.0038 loss: 1.7201 03/12 05:44:03 - mmengine - INFO - Epoch(train) [382][ 700/1252] lr: 3.5287e-04 eta: 1 day, 1:56:02 time: 0.3001 data_time: 0.1777 loss: 1.8309 03/12 05:44:39 - mmengine - INFO - Epoch(train) [382][ 800/1252] lr: 3.5287e-04 eta: 1 day, 1:55:28 time: 0.3826 data_time: 0.0040 loss: 1.7586 03/12 05:45:12 - mmengine - INFO - Epoch(train) [382][ 900/1252] lr: 3.5287e-04 eta: 1 day, 1:54:53 time: 0.3809 data_time: 0.0037 loss: 1.8173 03/12 05:45:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:45:46 - mmengine - INFO - Epoch(train) [382][1000/1252] lr: 3.5287e-04 eta: 1 day, 1:54:19 time: 0.3023 data_time: 0.0039 loss: 1.8135 03/12 05:46:20 - mmengine - INFO - Epoch(train) [382][1100/1252] lr: 3.5287e-04 eta: 1 day, 1:53:45 time: 0.2835 data_time: 0.0208 loss: 1.7934 03/12 05:46:54 - mmengine - INFO - Epoch(train) [382][1200/1252] lr: 3.5287e-04 eta: 1 day, 1:53:11 time: 0.3509 data_time: 0.1896 loss: 1.8105 03/12 05:47:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:47:12 - mmengine - INFO - Saving checkpoint at 382 epochs 03/12 05:47:36 - mmengine - INFO - Epoch(val) [382][49/49] accuracy/top1: 66.2840 accuracy/top5: 86.5880 03/12 05:48:13 - mmengine - INFO - Epoch(train) [383][ 100/1252] lr: 3.4335e-04 eta: 1 day, 1:52:20 time: 0.3500 data_time: 0.1438 loss: 1.7843 03/12 05:48:47 - mmengine - INFO - Epoch(train) [383][ 200/1252] lr: 3.4335e-04 eta: 1 day, 1:51:46 time: 0.3629 data_time: 0.1761 loss: 1.8826 03/12 05:49:22 - mmengine - INFO - Epoch(train) [383][ 300/1252] lr: 3.4335e-04 eta: 1 day, 1:51:12 time: 0.3691 data_time: 0.0039 loss: 1.7060 03/12 05:49:55 - mmengine - INFO - Epoch(train) [383][ 400/1252] lr: 3.4335e-04 eta: 1 day, 1:50:37 time: 0.3460 data_time: 0.1907 loss: 1.7320 03/12 05:50:29 - mmengine - INFO - Epoch(train) [383][ 500/1252] lr: 3.4335e-04 eta: 1 day, 1:50:03 time: 0.3433 data_time: 0.1136 loss: 1.8406 03/12 05:51:03 - mmengine - INFO - Epoch(train) [383][ 600/1252] lr: 3.4335e-04 eta: 1 day, 1:49:28 time: 0.2958 data_time: 0.0039 loss: 1.8813 03/12 05:51:37 - mmengine - INFO - Epoch(train) [383][ 700/1252] lr: 3.4335e-04 eta: 1 day, 1:48:54 time: 0.2904 data_time: 0.1102 loss: 1.8325 03/12 05:51:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:52:12 - mmengine - INFO - Epoch(train) [383][ 800/1252] lr: 3.4335e-04 eta: 1 day, 1:48:20 time: 0.3603 data_time: 0.0086 loss: 1.8069 03/12 05:52:45 - mmengine - INFO - Epoch(train) [383][ 900/1252] lr: 3.4335e-04 eta: 1 day, 1:47:45 time: 0.3614 data_time: 0.0038 loss: 1.7548 03/12 05:53:19 - mmengine - INFO - Epoch(train) [383][1000/1252] lr: 3.4335e-04 eta: 1 day, 1:47:11 time: 0.2922 data_time: 0.0045 loss: 1.8666 03/12 05:53:53 - mmengine - INFO - Epoch(train) [383][1100/1252] lr: 3.4335e-04 eta: 1 day, 1:46:36 time: 0.3935 data_time: 0.0443 loss: 1.8358 03/12 05:54:27 - mmengine - INFO - Epoch(train) [383][1200/1252] lr: 3.4335e-04 eta: 1 day, 1:46:02 time: 0.3329 data_time: 0.0041 loss: 1.7333 03/12 05:54:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:54:45 - mmengine - INFO - Saving checkpoint at 383 epochs 03/12 05:55:09 - mmengine - INFO - Epoch(val) [383][49/49] accuracy/top1: 66.2240 accuracy/top5: 86.6260 03/12 05:55:46 - mmengine - INFO - Epoch(train) [384][ 100/1252] lr: 3.4335e-04 eta: 1 day, 1:45:12 time: 0.3687 data_time: 0.1070 loss: 1.7092 03/12 05:56:20 - mmengine - INFO - Epoch(train) [384][ 200/1252] lr: 3.4335e-04 eta: 1 day, 1:44:37 time: 0.2968 data_time: 0.0509 loss: 1.7740 03/12 05:56:54 - mmengine - INFO - Epoch(train) [384][ 300/1252] lr: 3.4335e-04 eta: 1 day, 1:44:02 time: 0.3325 data_time: 0.2095 loss: 1.7660 03/12 05:57:28 - mmengine - INFO - Epoch(train) [384][ 400/1252] lr: 3.4335e-04 eta: 1 day, 1:43:28 time: 0.3545 data_time: 0.0039 loss: 1.8656 03/12 05:57:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 05:58:02 - mmengine - INFO - Epoch(train) [384][ 500/1252] lr: 3.4335e-04 eta: 1 day, 1:42:54 time: 0.2754 data_time: 0.0043 loss: 1.7753 03/12 05:58:36 - mmengine - INFO - Epoch(train) [384][ 600/1252] lr: 3.4335e-04 eta: 1 day, 1:42:20 time: 0.3130 data_time: 0.0476 loss: 1.9183 03/12 05:59:11 - mmengine - INFO - Epoch(train) [384][ 700/1252] lr: 3.4335e-04 eta: 1 day, 1:41:46 time: 0.3794 data_time: 0.0608 loss: 1.8409 03/12 05:59:46 - mmengine - INFO - Epoch(train) [384][ 800/1252] lr: 3.4335e-04 eta: 1 day, 1:41:12 time: 0.4101 data_time: 0.0689 loss: 1.8443 03/12 06:00:19 - mmengine - INFO - Epoch(train) [384][ 900/1252] lr: 3.4335e-04 eta: 1 day, 1:40:37 time: 0.3392 data_time: 0.0144 loss: 1.8498 03/12 06:00:53 - mmengine - INFO - Epoch(train) [384][1000/1252] lr: 3.4335e-04 eta: 1 day, 1:40:03 time: 0.3453 data_time: 0.1797 loss: 1.7538 03/12 06:01:27 - mmengine - INFO - Epoch(train) [384][1100/1252] lr: 3.4335e-04 eta: 1 day, 1:39:29 time: 0.3214 data_time: 0.0040 loss: 1.8280 03/12 06:02:01 - mmengine - INFO - Epoch(train) [384][1200/1252] lr: 3.4335e-04 eta: 1 day, 1:38:54 time: 0.3444 data_time: 0.0182 loss: 1.8357 03/12 06:02:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:02:18 - mmengine - INFO - Saving checkpoint at 384 epochs 03/12 06:02:43 - mmengine - INFO - Epoch(val) [384][49/49] accuracy/top1: 66.1620 accuracy/top5: 86.5180 03/12 06:03:20 - mmengine - INFO - Epoch(train) [385][ 100/1252] lr: 3.3408e-04 eta: 1 day, 1:38:03 time: 0.3431 data_time: 0.0727 loss: 1.8453 03/12 06:03:54 - mmengine - INFO - Epoch(train) [385][ 200/1252] lr: 3.3408e-04 eta: 1 day, 1:37:29 time: 0.3199 data_time: 0.1564 loss: 1.6850 03/12 06:04:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:04:28 - mmengine - INFO - Epoch(train) [385][ 300/1252] lr: 3.3408e-04 eta: 1 day, 1:36:55 time: 0.3267 data_time: 0.0936 loss: 1.7415 03/12 06:05:02 - mmengine - INFO - Epoch(train) [385][ 400/1252] lr: 3.3408e-04 eta: 1 day, 1:36:20 time: 0.3277 data_time: 0.0797 loss: 1.7797 03/12 06:05:36 - mmengine - INFO - Epoch(train) [385][ 500/1252] lr: 3.3408e-04 eta: 1 day, 1:35:46 time: 0.3381 data_time: 0.0274 loss: 1.7546 03/12 06:06:11 - mmengine - INFO - Epoch(train) [385][ 600/1252] lr: 3.3408e-04 eta: 1 day, 1:35:12 time: 0.4077 data_time: 0.1660 loss: 1.9164 03/12 06:06:45 - mmengine - INFO - Epoch(train) [385][ 700/1252] lr: 3.3408e-04 eta: 1 day, 1:34:38 time: 0.3593 data_time: 0.0047 loss: 1.7231 03/12 06:07:18 - mmengine - INFO - Epoch(train) [385][ 800/1252] lr: 3.3408e-04 eta: 1 day, 1:34:03 time: 0.3778 data_time: 0.0046 loss: 1.7330 03/12 06:07:52 - mmengine - INFO - Epoch(train) [385][ 900/1252] lr: 3.3408e-04 eta: 1 day, 1:33:29 time: 0.3333 data_time: 0.1456 loss: 1.8667 03/12 06:08:27 - mmengine - INFO - Epoch(train) [385][1000/1252] lr: 3.3408e-04 eta: 1 day, 1:32:54 time: 0.3566 data_time: 0.0150 loss: 1.8376 03/12 06:09:00 - mmengine - INFO - Epoch(train) [385][1100/1252] lr: 3.3408e-04 eta: 1 day, 1:32:20 time: 0.3740 data_time: 0.1174 loss: 1.8074 03/12 06:09:35 - mmengine - INFO - Epoch(train) [385][1200/1252] lr: 3.3408e-04 eta: 1 day, 1:31:46 time: 0.4217 data_time: 0.2072 loss: 1.7564 03/12 06:09:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:09:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:09:52 - mmengine - INFO - Saving checkpoint at 385 epochs 03/12 06:10:17 - mmengine - INFO - Epoch(val) [385][49/49] accuracy/top1: 65.9300 accuracy/top5: 86.5460 03/12 06:10:54 - mmengine - INFO - Epoch(train) [386][ 100/1252] lr: 3.3408e-04 eta: 1 day, 1:30:55 time: 0.3459 data_time: 0.0040 loss: 1.8569 03/12 06:11:28 - mmengine - INFO - Epoch(train) [386][ 200/1252] lr: 3.3408e-04 eta: 1 day, 1:30:20 time: 0.3470 data_time: 0.0039 loss: 1.8688 03/12 06:12:02 - mmengine - INFO - Epoch(train) [386][ 300/1252] lr: 3.3408e-04 eta: 1 day, 1:29:46 time: 0.3421 data_time: 0.0404 loss: 1.7752 03/12 06:12:36 - mmengine - INFO - Epoch(train) [386][ 400/1252] lr: 3.3408e-04 eta: 1 day, 1:29:12 time: 0.3631 data_time: 0.0042 loss: 1.7051 03/12 06:13:11 - mmengine - INFO - Epoch(train) [386][ 500/1252] lr: 3.3408e-04 eta: 1 day, 1:28:38 time: 0.3726 data_time: 0.0597 loss: 1.7323 03/12 06:13:44 - mmengine - INFO - Epoch(train) [386][ 600/1252] lr: 3.3408e-04 eta: 1 day, 1:28:03 time: 0.3381 data_time: 0.0470 loss: 1.7686 03/12 06:14:19 - mmengine - INFO - Epoch(train) [386][ 700/1252] lr: 3.3408e-04 eta: 1 day, 1:27:29 time: 0.3500 data_time: 0.1640 loss: 1.8989 03/12 06:14:53 - mmengine - INFO - Epoch(train) [386][ 800/1252] lr: 3.3408e-04 eta: 1 day, 1:26:55 time: 0.3416 data_time: 0.0041 loss: 1.8314 03/12 06:15:26 - mmengine - INFO - Epoch(train) [386][ 900/1252] lr: 3.3408e-04 eta: 1 day, 1:26:20 time: 0.3409 data_time: 0.0324 loss: 1.8026 03/12 06:15:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:16:00 - mmengine - INFO - Epoch(train) [386][1000/1252] lr: 3.3408e-04 eta: 1 day, 1:25:45 time: 0.3534 data_time: 0.0040 loss: 1.6630 03/12 06:16:34 - mmengine - INFO - Epoch(train) [386][1100/1252] lr: 3.3408e-04 eta: 1 day, 1:25:11 time: 0.2871 data_time: 0.0064 loss: 1.7314 03/12 06:17:09 - mmengine - INFO - Epoch(train) [386][1200/1252] lr: 3.3408e-04 eta: 1 day, 1:24:37 time: 0.3320 data_time: 0.0038 loss: 1.7991 03/12 06:17:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:17:26 - mmengine - INFO - Saving checkpoint at 386 epochs 03/12 06:17:53 - mmengine - INFO - Epoch(val) [386][49/49] accuracy/top1: 66.1060 accuracy/top5: 86.6320 03/12 06:18:29 - mmengine - INFO - Epoch(train) [387][ 100/1252] lr: 3.2506e-04 eta: 1 day, 1:23:46 time: 0.3203 data_time: 0.1102 loss: 1.8372 03/12 06:19:04 - mmengine - INFO - Epoch(train) [387][ 200/1252] lr: 3.2506e-04 eta: 1 day, 1:23:12 time: 0.3585 data_time: 0.0043 loss: 1.7356 03/12 06:19:39 - mmengine - INFO - Epoch(train) [387][ 300/1252] lr: 3.2506e-04 eta: 1 day, 1:22:39 time: 0.3809 data_time: 0.0043 loss: 1.8159 03/12 06:20:12 - mmengine - INFO - Epoch(train) [387][ 400/1252] lr: 3.2506e-04 eta: 1 day, 1:22:04 time: 0.3860 data_time: 0.0280 loss: 1.7569 03/12 06:20:46 - mmengine - INFO - Epoch(train) [387][ 500/1252] lr: 3.2506e-04 eta: 1 day, 1:21:30 time: 0.3865 data_time: 0.1760 loss: 1.8033 03/12 06:21:21 - mmengine - INFO - Epoch(train) [387][ 600/1252] lr: 3.2506e-04 eta: 1 day, 1:20:56 time: 0.3145 data_time: 0.0046 loss: 1.8428 03/12 06:21:56 - mmengine - INFO - Epoch(train) [387][ 700/1252] lr: 3.2506e-04 eta: 1 day, 1:20:22 time: 0.3439 data_time: 0.0042 loss: 1.8581 03/12 06:22:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:22:30 - mmengine - INFO - Epoch(train) [387][ 800/1252] lr: 3.2506e-04 eta: 1 day, 1:19:48 time: 0.3358 data_time: 0.0874 loss: 1.8623 03/12 06:23:04 - mmengine - INFO - Epoch(train) [387][ 900/1252] lr: 3.2506e-04 eta: 1 day, 1:19:14 time: 0.3975 data_time: 0.0108 loss: 1.7941 03/12 06:23:38 - mmengine - INFO - Epoch(train) [387][1000/1252] lr: 3.2506e-04 eta: 1 day, 1:18:39 time: 0.3850 data_time: 0.0043 loss: 1.7473 03/12 06:24:12 - mmengine - INFO - Epoch(train) [387][1100/1252] lr: 3.2506e-04 eta: 1 day, 1:18:05 time: 0.3734 data_time: 0.0044 loss: 1.7164 03/12 06:24:46 - mmengine - INFO - Epoch(train) [387][1200/1252] lr: 3.2506e-04 eta: 1 day, 1:17:30 time: 0.3326 data_time: 0.1216 loss: 1.7827 03/12 06:25:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:25:03 - mmengine - INFO - Saving checkpoint at 387 epochs 03/12 06:25:28 - mmengine - INFO - Epoch(val) [387][49/49] accuracy/top1: 66.2660 accuracy/top5: 86.7280 03/12 06:26:05 - mmengine - INFO - Epoch(train) [388][ 100/1252] lr: 3.2506e-04 eta: 1 day, 1:16:40 time: 0.2909 data_time: 0.0275 loss: 1.8433 03/12 06:26:39 - mmengine - INFO - Epoch(train) [388][ 200/1252] lr: 3.2506e-04 eta: 1 day, 1:16:05 time: 0.2803 data_time: 0.1482 loss: 1.8488 03/12 06:27:13 - mmengine - INFO - Epoch(train) [388][ 300/1252] lr: 3.2506e-04 eta: 1 day, 1:15:31 time: 0.3244 data_time: 0.1678 loss: 1.8080 03/12 06:27:47 - mmengine - INFO - Epoch(train) [388][ 400/1252] lr: 3.2506e-04 eta: 1 day, 1:14:56 time: 0.3227 data_time: 0.0297 loss: 1.8445 03/12 06:28:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:28:22 - mmengine - INFO - Epoch(train) [388][ 500/1252] lr: 3.2506e-04 eta: 1 day, 1:14:22 time: 0.3627 data_time: 0.0037 loss: 1.7567 03/12 06:28:56 - mmengine - INFO - Epoch(train) [388][ 600/1252] lr: 3.2506e-04 eta: 1 day, 1:13:48 time: 0.3223 data_time: 0.0045 loss: 1.9049 03/12 06:29:29 - mmengine - INFO - Epoch(train) [388][ 700/1252] lr: 3.2506e-04 eta: 1 day, 1:13:13 time: 0.3883 data_time: 0.2217 loss: 1.7957 03/12 06:30:04 - mmengine - INFO - Epoch(train) [388][ 800/1252] lr: 3.2506e-04 eta: 1 day, 1:12:39 time: 0.2936 data_time: 0.0049 loss: 1.8237 03/12 06:30:37 - mmengine - INFO - Epoch(train) [388][ 900/1252] lr: 3.2506e-04 eta: 1 day, 1:12:04 time: 0.3143 data_time: 0.0041 loss: 1.9427 03/12 06:31:12 - mmengine - INFO - Epoch(train) [388][1000/1252] lr: 3.2506e-04 eta: 1 day, 1:11:31 time: 0.3989 data_time: 0.0036 loss: 1.7900 03/12 06:31:46 - mmengine - INFO - Epoch(train) [388][1100/1252] lr: 3.2506e-04 eta: 1 day, 1:10:57 time: 0.3362 data_time: 0.0038 loss: 1.7666 03/12 06:32:20 - mmengine - INFO - Epoch(train) [388][1200/1252] lr: 3.2506e-04 eta: 1 day, 1:10:22 time: 0.3683 data_time: 0.0038 loss: 1.7373 03/12 06:32:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:32:37 - mmengine - INFO - Saving checkpoint at 388 epochs 03/12 06:33:02 - mmengine - INFO - Epoch(val) [388][49/49] accuracy/top1: 65.9620 accuracy/top5: 86.4060 03/12 06:33:39 - mmengine - INFO - Epoch(train) [389][ 100/1252] lr: 3.1628e-04 eta: 1 day, 1:09:31 time: 0.3948 data_time: 0.0038 loss: 1.8747 03/12 06:34:13 - mmengine - INFO - Epoch(train) [389][ 200/1252] lr: 3.1628e-04 eta: 1 day, 1:08:57 time: 0.3394 data_time: 0.0373 loss: 1.7506 03/12 06:34:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:34:46 - mmengine - INFO - Epoch(train) [389][ 300/1252] lr: 3.1628e-04 eta: 1 day, 1:08:22 time: 0.3333 data_time: 0.0043 loss: 1.8400 03/12 06:35:21 - mmengine - INFO - Epoch(train) [389][ 400/1252] lr: 3.1628e-04 eta: 1 day, 1:07:48 time: 0.3627 data_time: 0.0346 loss: 1.7305 03/12 06:35:54 - mmengine - INFO - Epoch(train) [389][ 500/1252] lr: 3.1628e-04 eta: 1 day, 1:07:13 time: 0.3429 data_time: 0.1424 loss: 1.8457 03/12 06:36:28 - mmengine - INFO - Epoch(train) [389][ 600/1252] lr: 3.1628e-04 eta: 1 day, 1:06:39 time: 0.2973 data_time: 0.1701 loss: 1.8010 03/12 06:37:02 - mmengine - INFO - Epoch(train) [389][ 700/1252] lr: 3.1628e-04 eta: 1 day, 1:06:05 time: 0.3670 data_time: 0.1152 loss: 1.7556 03/12 06:37:36 - mmengine - INFO - Epoch(train) [389][ 800/1252] lr: 3.1628e-04 eta: 1 day, 1:05:30 time: 0.3382 data_time: 0.0042 loss: 1.7597 03/12 06:38:11 - mmengine - INFO - Epoch(train) [389][ 900/1252] lr: 3.1628e-04 eta: 1 day, 1:04:56 time: 0.3709 data_time: 0.0042 loss: 1.7036 03/12 06:38:44 - mmengine - INFO - Epoch(train) [389][1000/1252] lr: 3.1628e-04 eta: 1 day, 1:04:21 time: 0.3023 data_time: 0.0706 loss: 1.9013 03/12 06:39:19 - mmengine - INFO - Epoch(train) [389][1100/1252] lr: 3.1628e-04 eta: 1 day, 1:03:47 time: 0.3058 data_time: 0.0039 loss: 1.7588 03/12 06:39:53 - mmengine - INFO - Epoch(train) [389][1200/1252] lr: 3.1628e-04 eta: 1 day, 1:03:13 time: 0.3705 data_time: 0.0040 loss: 1.7875 03/12 06:40:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:40:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:40:10 - mmengine - INFO - Saving checkpoint at 389 epochs 03/12 06:40:35 - mmengine - INFO - Epoch(val) [389][49/49] accuracy/top1: 65.5580 accuracy/top5: 86.1500 03/12 06:41:13 - mmengine - INFO - Epoch(train) [390][ 100/1252] lr: 3.1628e-04 eta: 1 day, 1:02:23 time: 0.3890 data_time: 0.0039 loss: 1.8505 03/12 06:41:46 - mmengine - INFO - Epoch(train) [390][ 200/1252] lr: 3.1628e-04 eta: 1 day, 1:01:48 time: 0.3210 data_time: 0.0040 loss: 1.8424 03/12 06:42:21 - mmengine - INFO - Epoch(train) [390][ 300/1252] lr: 3.1628e-04 eta: 1 day, 1:01:14 time: 0.3017 data_time: 0.0045 loss: 1.8101 03/12 06:42:55 - mmengine - INFO - Epoch(train) [390][ 400/1252] lr: 3.1628e-04 eta: 1 day, 1:00:40 time: 0.3237 data_time: 0.0044 loss: 1.6480 03/12 06:43:29 - mmengine - INFO - Epoch(train) [390][ 500/1252] lr: 3.1628e-04 eta: 1 day, 1:00:05 time: 0.3046 data_time: 0.0043 loss: 1.7066 03/12 06:44:04 - mmengine - INFO - Epoch(train) [390][ 600/1252] lr: 3.1628e-04 eta: 1 day, 0:59:31 time: 0.3486 data_time: 0.2254 loss: 1.8360 03/12 06:44:37 - mmengine - INFO - Epoch(train) [390][ 700/1252] lr: 3.1628e-04 eta: 1 day, 0:58:57 time: 0.3753 data_time: 0.2401 loss: 1.7528 03/12 06:45:12 - mmengine - INFO - Epoch(train) [390][ 800/1252] lr: 3.1628e-04 eta: 1 day, 0:58:23 time: 0.3899 data_time: 0.0047 loss: 1.8512 03/12 06:45:46 - mmengine - INFO - Epoch(train) [390][ 900/1252] lr: 3.1628e-04 eta: 1 day, 0:57:48 time: 0.2965 data_time: 0.0039 loss: 1.7192 03/12 06:46:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:46:20 - mmengine - INFO - Epoch(train) [390][1000/1252] lr: 3.1628e-04 eta: 1 day, 0:57:14 time: 0.3511 data_time: 0.0046 loss: 1.7891 03/12 06:46:53 - mmengine - INFO - Epoch(train) [390][1100/1252] lr: 3.1628e-04 eta: 1 day, 0:56:39 time: 0.2956 data_time: 0.0186 loss: 1.8364 03/12 06:47:27 - mmengine - INFO - Epoch(train) [390][1200/1252] lr: 3.1628e-04 eta: 1 day, 0:56:05 time: 0.3091 data_time: 0.0038 loss: 1.7321 03/12 06:47:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:47:45 - mmengine - INFO - Saving checkpoint at 390 epochs 03/12 06:48:10 - mmengine - INFO - Epoch(val) [390][49/49] accuracy/top1: 66.1080 accuracy/top5: 86.5340 03/12 06:48:46 - mmengine - INFO - Epoch(train) [391][ 100/1252] lr: 3.0774e-04 eta: 1 day, 0:55:14 time: 0.3361 data_time: 0.0146 loss: 1.8613 03/12 06:49:20 - mmengine - INFO - Epoch(train) [391][ 200/1252] lr: 3.0774e-04 eta: 1 day, 0:54:40 time: 0.3027 data_time: 0.0367 loss: 1.8895 03/12 06:49:55 - mmengine - INFO - Epoch(train) [391][ 300/1252] lr: 3.0774e-04 eta: 1 day, 0:54:06 time: 0.3339 data_time: 0.0043 loss: 1.8868 03/12 06:50:28 - mmengine - INFO - Epoch(train) [391][ 400/1252] lr: 3.0774e-04 eta: 1 day, 0:53:31 time: 0.3200 data_time: 0.0054 loss: 1.8781 03/12 06:51:03 - mmengine - INFO - Epoch(train) [391][ 500/1252] lr: 3.0774e-04 eta: 1 day, 0:52:57 time: 0.3747 data_time: 0.0836 loss: 1.7888 03/12 06:51:36 - mmengine - INFO - Epoch(train) [391][ 600/1252] lr: 3.0774e-04 eta: 1 day, 0:52:22 time: 0.3435 data_time: 0.0039 loss: 1.7668 03/12 06:52:11 - mmengine - INFO - Epoch(train) [391][ 700/1252] lr: 3.0774e-04 eta: 1 day, 0:51:48 time: 0.3156 data_time: 0.0040 loss: 1.8132 03/12 06:52:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:52:45 - mmengine - INFO - Epoch(train) [391][ 800/1252] lr: 3.0774e-04 eta: 1 day, 0:51:14 time: 0.3301 data_time: 0.0054 loss: 1.8381 03/12 06:53:19 - mmengine - INFO - Epoch(train) [391][ 900/1252] lr: 3.0774e-04 eta: 1 day, 0:50:39 time: 0.3147 data_time: 0.0279 loss: 1.8125 03/12 06:53:54 - mmengine - INFO - Epoch(train) [391][1000/1252] lr: 3.0774e-04 eta: 1 day, 0:50:06 time: 0.3757 data_time: 0.0084 loss: 1.7611 03/12 06:54:27 - mmengine - INFO - Epoch(train) [391][1100/1252] lr: 3.0774e-04 eta: 1 day, 0:49:31 time: 0.3243 data_time: 0.0101 loss: 1.8280 03/12 06:55:02 - mmengine - INFO - Epoch(train) [391][1200/1252] lr: 3.0774e-04 eta: 1 day, 0:48:57 time: 0.3865 data_time: 0.0051 loss: 1.8120 03/12 06:55:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:55:19 - mmengine - INFO - Saving checkpoint at 391 epochs 03/12 06:55:43 - mmengine - INFO - Epoch(val) [391][49/49] accuracy/top1: 65.9160 accuracy/top5: 86.3700 03/12 06:56:20 - mmengine - INFO - Epoch(train) [392][ 100/1252] lr: 3.0774e-04 eta: 1 day, 0:48:06 time: 0.2973 data_time: 0.0041 loss: 1.7403 03/12 06:56:54 - mmengine - INFO - Epoch(train) [392][ 200/1252] lr: 3.0774e-04 eta: 1 day, 0:47:32 time: 0.2956 data_time: 0.0923 loss: 1.8210 03/12 06:57:28 - mmengine - INFO - Epoch(train) [392][ 300/1252] lr: 3.0774e-04 eta: 1 day, 0:46:58 time: 0.3020 data_time: 0.0047 loss: 1.8023 03/12 06:58:03 - mmengine - INFO - Epoch(train) [392][ 400/1252] lr: 3.0774e-04 eta: 1 day, 0:46:23 time: 0.2912 data_time: 0.1001 loss: 1.8335 03/12 06:58:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 06:58:38 - mmengine - INFO - Epoch(train) [392][ 500/1252] lr: 3.0774e-04 eta: 1 day, 0:45:50 time: 0.3271 data_time: 0.1860 loss: 1.7515 03/12 06:59:11 - mmengine - INFO - Epoch(train) [392][ 600/1252] lr: 3.0774e-04 eta: 1 day, 0:45:15 time: 0.3814 data_time: 0.0045 loss: 1.8245 03/12 06:59:46 - mmengine - INFO - Epoch(train) [392][ 700/1252] lr: 3.0774e-04 eta: 1 day, 0:44:41 time: 0.3553 data_time: 0.0300 loss: 1.7819 03/12 07:00:19 - mmengine - INFO - Epoch(train) [392][ 800/1252] lr: 3.0774e-04 eta: 1 day, 0:44:06 time: 0.3315 data_time: 0.0041 loss: 1.8263 03/12 07:00:53 - mmengine - INFO - Epoch(train) [392][ 900/1252] lr: 3.0774e-04 eta: 1 day, 0:43:32 time: 0.3136 data_time: 0.0044 loss: 1.6820 03/12 07:01:28 - mmengine - INFO - Epoch(train) [392][1000/1252] lr: 3.0774e-04 eta: 1 day, 0:42:58 time: 0.3506 data_time: 0.0043 loss: 1.7367 03/12 07:02:01 - mmengine - INFO - Epoch(train) [392][1100/1252] lr: 3.0774e-04 eta: 1 day, 0:42:23 time: 0.3440 data_time: 0.0039 loss: 1.7869 03/12 07:02:35 - mmengine - INFO - Epoch(train) [392][1200/1252] lr: 3.0774e-04 eta: 1 day, 0:41:49 time: 0.3122 data_time: 0.0037 loss: 1.9965 03/12 07:02:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:02:53 - mmengine - INFO - Saving checkpoint at 392 epochs 03/12 07:03:18 - mmengine - INFO - Epoch(val) [392][49/49] accuracy/top1: 66.1060 accuracy/top5: 86.6200 03/12 07:03:55 - mmengine - INFO - Epoch(train) [393][ 100/1252] lr: 2.9943e-04 eta: 1 day, 0:40:58 time: 0.2976 data_time: 0.0045 loss: 1.7703 03/12 07:04:29 - mmengine - INFO - Epoch(train) [393][ 200/1252] lr: 2.9943e-04 eta: 1 day, 0:40:24 time: 0.3529 data_time: 0.0038 loss: 1.8303 03/12 07:04:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:05:03 - mmengine - INFO - Epoch(train) [393][ 300/1252] lr: 2.9943e-04 eta: 1 day, 0:39:49 time: 0.3093 data_time: 0.0042 loss: 1.7727 03/12 07:05:37 - mmengine - INFO - Epoch(train) [393][ 400/1252] lr: 2.9943e-04 eta: 1 day, 0:39:15 time: 0.3410 data_time: 0.2108 loss: 1.8070 03/12 07:06:11 - mmengine - INFO - Epoch(train) [393][ 500/1252] lr: 2.9943e-04 eta: 1 day, 0:38:41 time: 0.3155 data_time: 0.1767 loss: 1.8844 03/12 07:06:45 - mmengine - INFO - Epoch(train) [393][ 600/1252] lr: 2.9943e-04 eta: 1 day, 0:38:06 time: 0.3402 data_time: 0.0039 loss: 1.8116 03/12 07:07:19 - mmengine - INFO - Epoch(train) [393][ 700/1252] lr: 2.9943e-04 eta: 1 day, 0:37:32 time: 0.3545 data_time: 0.0038 loss: 1.7521 03/12 07:07:53 - mmengine - INFO - Epoch(train) [393][ 800/1252] lr: 2.9943e-04 eta: 1 day, 0:36:58 time: 0.3039 data_time: 0.0767 loss: 1.8500 03/12 07:08:28 - mmengine - INFO - Epoch(train) [393][ 900/1252] lr: 2.9943e-04 eta: 1 day, 0:36:24 time: 0.3216 data_time: 0.0037 loss: 1.8522 03/12 07:09:02 - mmengine - INFO - Epoch(train) [393][1000/1252] lr: 2.9943e-04 eta: 1 day, 0:35:49 time: 0.3318 data_time: 0.0756 loss: 1.8670 03/12 07:09:36 - mmengine - INFO - Epoch(train) [393][1100/1252] lr: 2.9943e-04 eta: 1 day, 0:35:15 time: 0.3759 data_time: 0.0038 loss: 1.8242 03/12 07:10:11 - mmengine - INFO - Epoch(train) [393][1200/1252] lr: 2.9943e-04 eta: 1 day, 0:34:41 time: 0.3797 data_time: 0.0039 loss: 1.8950 03/12 07:10:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:10:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:10:28 - mmengine - INFO - Saving checkpoint at 393 epochs 03/12 07:10:52 - mmengine - INFO - Epoch(val) [393][49/49] accuracy/top1: 65.9360 accuracy/top5: 86.4880 03/12 07:11:29 - mmengine - INFO - Epoch(train) [394][ 100/1252] lr: 2.9943e-04 eta: 1 day, 0:33:50 time: 0.3197 data_time: 0.0596 loss: 1.7551 03/12 07:12:02 - mmengine - INFO - Epoch(train) [394][ 200/1252] lr: 2.9943e-04 eta: 1 day, 0:33:15 time: 0.3306 data_time: 0.0601 loss: 1.8660 03/12 07:12:36 - mmengine - INFO - Epoch(train) [394][ 300/1252] lr: 2.9943e-04 eta: 1 day, 0:32:41 time: 0.3233 data_time: 0.0454 loss: 1.6858 03/12 07:13:11 - mmengine - INFO - Epoch(train) [394][ 400/1252] lr: 2.9943e-04 eta: 1 day, 0:32:07 time: 0.3610 data_time: 0.0045 loss: 1.8234 03/12 07:13:45 - mmengine - INFO - Epoch(train) [394][ 500/1252] lr: 2.9943e-04 eta: 1 day, 0:31:33 time: 0.3299 data_time: 0.0042 loss: 1.8398 03/12 07:14:19 - mmengine - INFO - Epoch(train) [394][ 600/1252] lr: 2.9943e-04 eta: 1 day, 0:30:59 time: 0.3144 data_time: 0.0042 loss: 1.9028 03/12 07:14:53 - mmengine - INFO - Epoch(train) [394][ 700/1252] lr: 2.9943e-04 eta: 1 day, 0:30:24 time: 0.3017 data_time: 0.0044 loss: 1.9092 03/12 07:15:27 - mmengine - INFO - Epoch(train) [394][ 800/1252] lr: 2.9943e-04 eta: 1 day, 0:29:50 time: 0.3328 data_time: 0.0041 loss: 1.8074 03/12 07:16:01 - mmengine - INFO - Epoch(train) [394][ 900/1252] lr: 2.9943e-04 eta: 1 day, 0:29:16 time: 0.3214 data_time: 0.0039 loss: 1.7588 03/12 07:16:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:16:35 - mmengine - INFO - Epoch(train) [394][1000/1252] lr: 2.9943e-04 eta: 1 day, 0:28:41 time: 0.3070 data_time: 0.0046 loss: 1.9256 03/12 07:17:10 - mmengine - INFO - Epoch(train) [394][1100/1252] lr: 2.9943e-04 eta: 1 day, 0:28:07 time: 0.3364 data_time: 0.0038 loss: 1.7996 03/12 07:17:44 - mmengine - INFO - Epoch(train) [394][1200/1252] lr: 2.9943e-04 eta: 1 day, 0:27:33 time: 0.3943 data_time: 0.1137 loss: 1.7471 03/12 07:18:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:18:01 - mmengine - INFO - Saving checkpoint at 394 epochs 03/12 07:18:25 - mmengine - INFO - Epoch(val) [394][49/49] accuracy/top1: 66.3340 accuracy/top5: 86.5860 03/12 07:19:02 - mmengine - INFO - Epoch(train) [395][ 100/1252] lr: 2.9135e-04 eta: 1 day, 0:26:42 time: 0.3782 data_time: 0.2105 loss: 1.9325 03/12 07:19:36 - mmengine - INFO - Epoch(train) [395][ 200/1252] lr: 2.9135e-04 eta: 1 day, 0:26:08 time: 0.3267 data_time: 0.0040 loss: 1.7350 03/12 07:20:10 - mmengine - INFO - Epoch(train) [395][ 300/1252] lr: 2.9135e-04 eta: 1 day, 0:25:33 time: 0.3154 data_time: 0.0038 loss: 1.7689 03/12 07:20:44 - mmengine - INFO - Epoch(train) [395][ 400/1252] lr: 2.9135e-04 eta: 1 day, 0:24:59 time: 0.3982 data_time: 0.0049 loss: 1.8200 03/12 07:21:19 - mmengine - INFO - Epoch(train) [395][ 500/1252] lr: 2.9135e-04 eta: 1 day, 0:24:25 time: 0.3667 data_time: 0.0038 loss: 1.7426 03/12 07:21:53 - mmengine - INFO - Epoch(train) [395][ 600/1252] lr: 2.9135e-04 eta: 1 day, 0:23:51 time: 0.3612 data_time: 0.0552 loss: 1.8609 03/12 07:22:27 - mmengine - INFO - Epoch(train) [395][ 700/1252] lr: 2.9135e-04 eta: 1 day, 0:23:17 time: 0.3553 data_time: 0.0039 loss: 1.7601 03/12 07:22:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:23:01 - mmengine - INFO - Epoch(train) [395][ 800/1252] lr: 2.9135e-04 eta: 1 day, 0:22:42 time: 0.4057 data_time: 0.1241 loss: 1.7573 03/12 07:23:35 - mmengine - INFO - Epoch(train) [395][ 900/1252] lr: 2.9135e-04 eta: 1 day, 0:22:08 time: 0.2793 data_time: 0.0099 loss: 1.7775 03/12 07:24:10 - mmengine - INFO - Epoch(train) [395][1000/1252] lr: 2.9135e-04 eta: 1 day, 0:21:34 time: 0.3329 data_time: 0.1201 loss: 1.8851 03/12 07:24:43 - mmengine - INFO - Epoch(train) [395][1100/1252] lr: 2.9135e-04 eta: 1 day, 0:20:59 time: 0.3608 data_time: 0.1901 loss: 1.8158 03/12 07:25:18 - mmengine - INFO - Epoch(train) [395][1200/1252] lr: 2.9135e-04 eta: 1 day, 0:20:25 time: 0.3547 data_time: 0.0037 loss: 1.8191 03/12 07:25:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:25:35 - mmengine - INFO - Saving checkpoint at 395 epochs 03/12 07:26:01 - mmengine - INFO - Epoch(val) [395][49/49] accuracy/top1: 66.0160 accuracy/top5: 86.5740 03/12 07:26:38 - mmengine - INFO - Epoch(train) [396][ 100/1252] lr: 2.9135e-04 eta: 1 day, 0:19:35 time: 0.3737 data_time: 0.2240 loss: 1.8306 03/12 07:27:12 - mmengine - INFO - Epoch(train) [396][ 200/1252] lr: 2.9135e-04 eta: 1 day, 0:19:01 time: 0.3651 data_time: 0.0039 loss: 1.8263 03/12 07:27:46 - mmengine - INFO - Epoch(train) [396][ 300/1252] lr: 2.9135e-04 eta: 1 day, 0:18:26 time: 0.2980 data_time: 0.1232 loss: 1.7536 03/12 07:28:20 - mmengine - INFO - Epoch(train) [396][ 400/1252] lr: 2.9135e-04 eta: 1 day, 0:17:52 time: 0.3539 data_time: 0.0043 loss: 1.6844 03/12 07:28:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:28:54 - mmengine - INFO - Epoch(train) [396][ 500/1252] lr: 2.9135e-04 eta: 1 day, 0:17:18 time: 0.3246 data_time: 0.0484 loss: 1.8589 03/12 07:29:29 - mmengine - INFO - Epoch(train) [396][ 600/1252] lr: 2.9135e-04 eta: 1 day, 0:16:44 time: 0.3538 data_time: 0.0043 loss: 1.7265 03/12 07:30:03 - mmengine - INFO - Epoch(train) [396][ 700/1252] lr: 2.9135e-04 eta: 1 day, 0:16:09 time: 0.3683 data_time: 0.1912 loss: 1.8422 03/12 07:30:37 - mmengine - INFO - Epoch(train) [396][ 800/1252] lr: 2.9135e-04 eta: 1 day, 0:15:35 time: 0.3241 data_time: 0.0042 loss: 1.7893 03/12 07:31:12 - mmengine - INFO - Epoch(train) [396][ 900/1252] lr: 2.9135e-04 eta: 1 day, 0:15:01 time: 0.4002 data_time: 0.0549 loss: 1.7799 03/12 07:31:45 - mmengine - INFO - Epoch(train) [396][1000/1252] lr: 2.9135e-04 eta: 1 day, 0:14:26 time: 0.3076 data_time: 0.1806 loss: 1.8149 03/12 07:32:18 - mmengine - INFO - Epoch(train) [396][1100/1252] lr: 2.9135e-04 eta: 1 day, 0:13:52 time: 0.3380 data_time: 0.0442 loss: 1.8692 03/12 07:32:53 - mmengine - INFO - Epoch(train) [396][1200/1252] lr: 2.9135e-04 eta: 1 day, 0:13:18 time: 0.3618 data_time: 0.1602 loss: 1.8108 03/12 07:33:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:33:10 - mmengine - INFO - Saving checkpoint at 396 epochs 03/12 07:33:34 - mmengine - INFO - Epoch(val) [396][49/49] accuracy/top1: 65.9680 accuracy/top5: 86.5260 03/12 07:34:11 - mmengine - INFO - Epoch(train) [397][ 100/1252] lr: 2.8348e-04 eta: 1 day, 0:12:27 time: 0.3583 data_time: 0.0705 loss: 1.8243 03/12 07:34:46 - mmengine - INFO - Epoch(train) [397][ 200/1252] lr: 2.8348e-04 eta: 1 day, 0:11:52 time: 0.2987 data_time: 0.0040 loss: 1.7622 03/12 07:34:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:35:19 - mmengine - INFO - Epoch(train) [397][ 300/1252] lr: 2.8348e-04 eta: 1 day, 0:11:18 time: 0.3590 data_time: 0.0039 loss: 1.7873 03/12 07:35:53 - mmengine - INFO - Epoch(train) [397][ 400/1252] lr: 2.8348e-04 eta: 1 day, 0:10:44 time: 0.2951 data_time: 0.0042 loss: 1.7654 03/12 07:36:27 - mmengine - INFO - Epoch(train) [397][ 500/1252] lr: 2.8348e-04 eta: 1 day, 0:10:09 time: 0.3269 data_time: 0.0047 loss: 1.7011 03/12 07:37:01 - mmengine - INFO - Epoch(train) [397][ 600/1252] lr: 2.8348e-04 eta: 1 day, 0:09:35 time: 0.3271 data_time: 0.0042 loss: 1.8127 03/12 07:37:35 - mmengine - INFO - Epoch(train) [397][ 700/1252] lr: 2.8348e-04 eta: 1 day, 0:09:00 time: 0.3185 data_time: 0.0250 loss: 1.7738 03/12 07:38:09 - mmengine - INFO - Epoch(train) [397][ 800/1252] lr: 2.8348e-04 eta: 1 day, 0:08:26 time: 0.3524 data_time: 0.0040 loss: 1.7997 03/12 07:38:43 - mmengine - INFO - Epoch(train) [397][ 900/1252] lr: 2.8348e-04 eta: 1 day, 0:07:51 time: 0.3553 data_time: 0.0041 loss: 1.7601 03/12 07:39:17 - mmengine - INFO - Epoch(train) [397][1000/1252] lr: 2.8348e-04 eta: 1 day, 0:07:17 time: 0.3195 data_time: 0.0047 loss: 1.7271 03/12 07:39:51 - mmengine - INFO - Epoch(train) [397][1100/1252] lr: 2.8348e-04 eta: 1 day, 0:06:43 time: 0.3214 data_time: 0.0560 loss: 1.6989 03/12 07:40:25 - mmengine - INFO - Epoch(train) [397][1200/1252] lr: 2.8348e-04 eta: 1 day, 0:06:09 time: 0.3378 data_time: 0.0428 loss: 1.9434 03/12 07:40:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:40:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:40:42 - mmengine - INFO - Saving checkpoint at 397 epochs 03/12 07:41:07 - mmengine - INFO - Epoch(val) [397][49/49] accuracy/top1: 66.3080 accuracy/top5: 86.7040 03/12 07:41:44 - mmengine - INFO - Epoch(train) [398][ 100/1252] lr: 2.8348e-04 eta: 1 day, 0:05:18 time: 0.3211 data_time: 0.0201 loss: 1.8006 03/12 07:42:18 - mmengine - INFO - Epoch(train) [398][ 200/1252] lr: 2.8348e-04 eta: 1 day, 0:04:43 time: 0.3270 data_time: 0.0772 loss: 1.8604 03/12 07:42:52 - mmengine - INFO - Epoch(train) [398][ 300/1252] lr: 2.8348e-04 eta: 1 day, 0:04:09 time: 0.2975 data_time: 0.0041 loss: 1.6890 03/12 07:43:27 - mmengine - INFO - Epoch(train) [398][ 400/1252] lr: 2.8348e-04 eta: 1 day, 0:03:35 time: 0.3526 data_time: 0.0036 loss: 1.8244 03/12 07:44:01 - mmengine - INFO - Epoch(train) [398][ 500/1252] lr: 2.8348e-04 eta: 1 day, 0:03:01 time: 0.3459 data_time: 0.0536 loss: 1.8726 03/12 07:44:36 - mmengine - INFO - Epoch(train) [398][ 600/1252] lr: 2.8348e-04 eta: 1 day, 0:02:27 time: 0.3763 data_time: 0.0038 loss: 1.7825 03/12 07:45:09 - mmengine - INFO - Epoch(train) [398][ 700/1252] lr: 2.8348e-04 eta: 1 day, 0:01:52 time: 0.3291 data_time: 0.0046 loss: 1.7399 03/12 07:45:45 - mmengine - INFO - Epoch(train) [398][ 800/1252] lr: 2.8348e-04 eta: 1 day, 0:01:19 time: 0.3107 data_time: 0.0035 loss: 1.8391 03/12 07:46:18 - mmengine - INFO - Epoch(train) [398][ 900/1252] lr: 2.8348e-04 eta: 1 day, 0:00:44 time: 0.3099 data_time: 0.0039 loss: 1.8676 03/12 07:46:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:46:52 - mmengine - INFO - Epoch(train) [398][1000/1252] lr: 2.8348e-04 eta: 1 day, 0:00:10 time: 0.3040 data_time: 0.0834 loss: 1.7693 03/12 07:47:27 - mmengine - INFO - Epoch(train) [398][1100/1252] lr: 2.8348e-04 eta: 23:59:36 time: 0.3686 data_time: 0.0268 loss: 1.9644 03/12 07:48:01 - mmengine - INFO - Epoch(train) [398][1200/1252] lr: 2.8348e-04 eta: 23:59:02 time: 0.3728 data_time: 0.0038 loss: 1.7562 03/12 07:48:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:48:18 - mmengine - INFO - Saving checkpoint at 398 epochs 03/12 07:48:43 - mmengine - INFO - Epoch(val) [398][49/49] accuracy/top1: 66.1900 accuracy/top5: 86.6820 03/12 07:49:19 - mmengine - INFO - Epoch(train) [399][ 100/1252] lr: 2.7583e-04 eta: 23:58:11 time: 0.3802 data_time: 0.0038 loss: 1.6876 03/12 07:49:53 - mmengine - INFO - Epoch(train) [399][ 200/1252] lr: 2.7583e-04 eta: 23:57:36 time: 0.3488 data_time: 0.0040 loss: 1.8355 03/12 07:50:27 - mmengine - INFO - Epoch(train) [399][ 300/1252] lr: 2.7583e-04 eta: 23:57:02 time: 0.3255 data_time: 0.1412 loss: 1.7478 03/12 07:51:02 - mmengine - INFO - Epoch(train) [399][ 400/1252] lr: 2.7583e-04 eta: 23:56:28 time: 0.3908 data_time: 0.2771 loss: 1.7143 03/12 07:51:36 - mmengine - INFO - Epoch(train) [399][ 500/1252] lr: 2.7583e-04 eta: 23:55:54 time: 0.3731 data_time: 0.0276 loss: 1.7162 03/12 07:52:10 - mmengine - INFO - Epoch(train) [399][ 600/1252] lr: 2.7583e-04 eta: 23:55:19 time: 0.2786 data_time: 0.0050 loss: 1.8533 03/12 07:52:43 - mmengine - INFO - Epoch(train) [399][ 700/1252] lr: 2.7583e-04 eta: 23:54:44 time: 0.3057 data_time: 0.0298 loss: 1.7122 03/12 07:52:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:53:17 - mmengine - INFO - Epoch(train) [399][ 800/1252] lr: 2.7583e-04 eta: 23:54:10 time: 0.3264 data_time: 0.0044 loss: 1.7943 03/12 07:53:51 - mmengine - INFO - Epoch(train) [399][ 900/1252] lr: 2.7583e-04 eta: 23:53:36 time: 0.3365 data_time: 0.0048 loss: 1.8195 03/12 07:54:25 - mmengine - INFO - Epoch(train) [399][1000/1252] lr: 2.7583e-04 eta: 23:53:01 time: 0.2824 data_time: 0.1155 loss: 1.8075 03/12 07:54:59 - mmengine - INFO - Epoch(train) [399][1100/1252] lr: 2.7583e-04 eta: 23:52:27 time: 0.3126 data_time: 0.1048 loss: 1.9012 03/12 07:55:33 - mmengine - INFO - Epoch(train) [399][1200/1252] lr: 2.7583e-04 eta: 23:51:53 time: 0.2951 data_time: 0.1677 loss: 1.8503 03/12 07:55:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:55:51 - mmengine - INFO - Saving checkpoint at 399 epochs 03/12 07:56:15 - mmengine - INFO - Epoch(val) [399][49/49] accuracy/top1: 66.4060 accuracy/top5: 86.6880 03/12 07:56:51 - mmengine - INFO - Epoch(train) [400][ 100/1252] lr: 2.7583e-04 eta: 23:51:01 time: 0.3640 data_time: 0.0202 loss: 1.7976 03/12 07:57:25 - mmengine - INFO - Epoch(train) [400][ 200/1252] lr: 2.7583e-04 eta: 23:50:27 time: 0.3597 data_time: 0.0306 loss: 1.7976 03/12 07:57:59 - mmengine - INFO - Epoch(train) [400][ 300/1252] lr: 2.7583e-04 eta: 23:49:53 time: 0.3700 data_time: 0.2154 loss: 1.7443 03/12 07:58:34 - mmengine - INFO - Epoch(train) [400][ 400/1252] lr: 2.7583e-04 eta: 23:49:19 time: 0.4101 data_time: 0.0040 loss: 1.9038 03/12 07:58:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 07:59:07 - mmengine - INFO - Epoch(train) [400][ 500/1252] lr: 2.7583e-04 eta: 23:48:44 time: 0.3405 data_time: 0.0042 loss: 1.7904 03/12 07:59:41 - mmengine - INFO - Epoch(train) [400][ 600/1252] lr: 2.7583e-04 eta: 23:48:10 time: 0.3261 data_time: 0.1760 loss: 1.8095 03/12 08:00:16 - mmengine - INFO - Epoch(train) [400][ 700/1252] lr: 2.7583e-04 eta: 23:47:36 time: 0.3579 data_time: 0.0045 loss: 1.8324 03/12 08:00:49 - mmengine - INFO - Epoch(train) [400][ 800/1252] lr: 2.7583e-04 eta: 23:47:01 time: 0.3287 data_time: 0.0042 loss: 1.7605 03/12 08:01:23 - mmengine - INFO - Epoch(train) [400][ 900/1252] lr: 2.7583e-04 eta: 23:46:27 time: 0.3783 data_time: 0.1176 loss: 1.8354 03/12 08:01:58 - mmengine - INFO - Epoch(train) [400][1000/1252] lr: 2.7583e-04 eta: 23:45:53 time: 0.3370 data_time: 0.0047 loss: 1.8653 03/12 08:02:32 - mmengine - INFO - Epoch(train) [400][1100/1252] lr: 2.7583e-04 eta: 23:45:19 time: 0.3140 data_time: 0.0048 loss: 1.7505 03/12 08:03:06 - mmengine - INFO - Epoch(train) [400][1200/1252] lr: 2.7583e-04 eta: 23:44:44 time: 0.3207 data_time: 0.0050 loss: 1.8019 03/12 08:03:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:03:23 - mmengine - INFO - Saving checkpoint at 400 epochs 03/12 08:03:49 - mmengine - INFO - Epoch(val) [400][49/49] accuracy/top1: 66.1580 accuracy/top5: 86.5340 03/12 08:04:25 - mmengine - INFO - Epoch(train) [401][ 100/1252] lr: 2.6838e-04 eta: 23:43:53 time: 0.3356 data_time: 0.1443 loss: 1.8049 03/12 08:05:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:05:00 - mmengine - INFO - Epoch(train) [401][ 200/1252] lr: 2.6838e-04 eta: 23:43:19 time: 0.3234 data_time: 0.0041 loss: 1.7920 03/12 08:05:34 - mmengine - INFO - Epoch(train) [401][ 300/1252] lr: 2.6838e-04 eta: 23:42:45 time: 0.2670 data_time: 0.1222 loss: 1.7362 03/12 08:06:08 - mmengine - INFO - Epoch(train) [401][ 400/1252] lr: 2.6838e-04 eta: 23:42:10 time: 0.2849 data_time: 0.0045 loss: 1.7608 03/12 08:06:42 - mmengine - INFO - Epoch(train) [401][ 500/1252] lr: 2.6838e-04 eta: 23:41:36 time: 0.3996 data_time: 0.0045 loss: 1.8648 03/12 08:07:16 - mmengine - INFO - Epoch(train) [401][ 600/1252] lr: 2.6838e-04 eta: 23:41:02 time: 0.4162 data_time: 0.0040 loss: 1.6928 03/12 08:07:51 - mmengine - INFO - Epoch(train) [401][ 700/1252] lr: 2.6838e-04 eta: 23:40:28 time: 0.4151 data_time: 0.0041 loss: 1.7111 03/12 08:08:25 - mmengine - INFO - Epoch(train) [401][ 800/1252] lr: 2.6838e-04 eta: 23:39:54 time: 0.3598 data_time: 0.0274 loss: 1.7597 03/12 08:09:00 - mmengine - INFO - Epoch(train) [401][ 900/1252] lr: 2.6838e-04 eta: 23:39:20 time: 0.3021 data_time: 0.1488 loss: 1.7960 03/12 08:09:34 - mmengine - INFO - Epoch(train) [401][1000/1252] lr: 2.6838e-04 eta: 23:38:46 time: 0.2683 data_time: 0.0042 loss: 1.9228 03/12 08:10:07 - mmengine - INFO - Epoch(train) [401][1100/1252] lr: 2.6838e-04 eta: 23:38:11 time: 0.3043 data_time: 0.0043 loss: 1.7538 03/12 08:10:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:10:41 - mmengine - INFO - Epoch(train) [401][1200/1252] lr: 2.6838e-04 eta: 23:37:37 time: 0.2990 data_time: 0.0040 loss: 1.7146 03/12 08:10:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:10:58 - mmengine - INFO - Saving checkpoint at 401 epochs 03/12 08:11:22 - mmengine - INFO - Epoch(val) [401][49/49] accuracy/top1: 65.7920 accuracy/top5: 86.4060 03/12 08:12:00 - mmengine - INFO - Epoch(train) [402][ 100/1252] lr: 2.6838e-04 eta: 23:36:46 time: 0.3749 data_time: 0.0254 loss: 1.7332 03/12 08:12:33 - mmengine - INFO - Epoch(train) [402][ 200/1252] lr: 2.6838e-04 eta: 23:36:11 time: 0.2865 data_time: 0.0308 loss: 1.7909 03/12 08:13:07 - mmengine - INFO - Epoch(train) [402][ 300/1252] lr: 2.6838e-04 eta: 23:35:37 time: 0.3121 data_time: 0.0044 loss: 1.7982 03/12 08:13:42 - mmengine - INFO - Epoch(train) [402][ 400/1252] lr: 2.6838e-04 eta: 23:35:03 time: 0.3418 data_time: 0.1810 loss: 1.8284 03/12 08:14:16 - mmengine - INFO - Epoch(train) [402][ 500/1252] lr: 2.6838e-04 eta: 23:34:28 time: 0.3251 data_time: 0.0044 loss: 1.7662 03/12 08:14:51 - mmengine - INFO - Epoch(train) [402][ 600/1252] lr: 2.6838e-04 eta: 23:33:55 time: 0.3916 data_time: 0.0035 loss: 1.7895 03/12 08:15:24 - mmengine - INFO - Epoch(train) [402][ 700/1252] lr: 2.6838e-04 eta: 23:33:20 time: 0.3620 data_time: 0.0909 loss: 1.7401 03/12 08:15:58 - mmengine - INFO - Epoch(train) [402][ 800/1252] lr: 2.6838e-04 eta: 23:32:45 time: 0.3170 data_time: 0.0040 loss: 1.8149 03/12 08:16:31 - mmengine - INFO - Epoch(train) [402][ 900/1252] lr: 2.6838e-04 eta: 23:32:11 time: 0.3174 data_time: 0.0046 loss: 1.6811 03/12 08:16:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:17:06 - mmengine - INFO - Epoch(train) [402][1000/1252] lr: 2.6838e-04 eta: 23:31:37 time: 0.3485 data_time: 0.1159 loss: 1.8112 03/12 08:17:40 - mmengine - INFO - Epoch(train) [402][1100/1252] lr: 2.6838e-04 eta: 23:31:03 time: 0.3576 data_time: 0.0865 loss: 1.7592 03/12 08:18:15 - mmengine - INFO - Epoch(train) [402][1200/1252] lr: 2.6838e-04 eta: 23:30:29 time: 0.3974 data_time: 0.2395 loss: 1.8689 03/12 08:18:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:18:32 - mmengine - INFO - Saving checkpoint at 402 epochs 03/12 08:18:56 - mmengine - INFO - Epoch(val) [402][49/49] accuracy/top1: 66.2240 accuracy/top5: 86.6900 03/12 08:19:34 - mmengine - INFO - Epoch(train) [403][ 100/1252] lr: 2.6113e-04 eta: 23:29:38 time: 0.3400 data_time: 0.2015 loss: 1.9137 03/12 08:20:08 - mmengine - INFO - Epoch(train) [403][ 200/1252] lr: 2.6113e-04 eta: 23:29:04 time: 0.3366 data_time: 0.0302 loss: 1.9081 03/12 08:20:42 - mmengine - INFO - Epoch(train) [403][ 300/1252] lr: 2.6113e-04 eta: 23:28:29 time: 0.3128 data_time: 0.1499 loss: 1.7986 03/12 08:21:16 - mmengine - INFO - Epoch(train) [403][ 400/1252] lr: 2.6113e-04 eta: 23:27:55 time: 0.2917 data_time: 0.0046 loss: 1.8312 03/12 08:21:50 - mmengine - INFO - Epoch(train) [403][ 500/1252] lr: 2.6113e-04 eta: 23:27:21 time: 0.3330 data_time: 0.0039 loss: 1.8398 03/12 08:22:24 - mmengine - INFO - Epoch(train) [403][ 600/1252] lr: 2.6113e-04 eta: 23:26:46 time: 0.3341 data_time: 0.0047 loss: 1.7814 03/12 08:22:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:22:58 - mmengine - INFO - Epoch(train) [403][ 700/1252] lr: 2.6113e-04 eta: 23:26:12 time: 0.3154 data_time: 0.0040 loss: 1.8798 03/12 08:23:32 - mmengine - INFO - Epoch(train) [403][ 800/1252] lr: 2.6113e-04 eta: 23:25:38 time: 0.3496 data_time: 0.0040 loss: 1.7836 03/12 08:24:06 - mmengine - INFO - Epoch(train) [403][ 900/1252] lr: 2.6113e-04 eta: 23:25:04 time: 0.3366 data_time: 0.0039 loss: 1.7271 03/12 08:24:40 - mmengine - INFO - Epoch(train) [403][1000/1252] lr: 2.6113e-04 eta: 23:24:29 time: 0.2983 data_time: 0.0046 loss: 1.8815 03/12 08:25:14 - mmengine - INFO - Epoch(train) [403][1100/1252] lr: 2.6113e-04 eta: 23:23:55 time: 0.3290 data_time: 0.1006 loss: 1.7332 03/12 08:25:48 - mmengine - INFO - Epoch(train) [403][1200/1252] lr: 2.6113e-04 eta: 23:23:21 time: 0.3014 data_time: 0.1768 loss: 1.8195 03/12 08:26:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:26:06 - mmengine - INFO - Saving checkpoint at 403 epochs 03/12 08:26:31 - mmengine - INFO - Epoch(val) [403][49/49] accuracy/top1: 65.8580 accuracy/top5: 86.3380 03/12 08:27:08 - mmengine - INFO - Epoch(train) [404][ 100/1252] lr: 2.6113e-04 eta: 23:22:30 time: 0.3240 data_time: 0.0041 loss: 1.6876 03/12 08:27:43 - mmengine - INFO - Epoch(train) [404][ 200/1252] lr: 2.6113e-04 eta: 23:21:56 time: 0.3604 data_time: 0.0041 loss: 1.7940 03/12 08:28:17 - mmengine - INFO - Epoch(train) [404][ 300/1252] lr: 2.6113e-04 eta: 23:21:21 time: 0.2864 data_time: 0.0359 loss: 1.8655 03/12 08:28:51 - mmengine - INFO - Epoch(train) [404][ 400/1252] lr: 2.6113e-04 eta: 23:20:47 time: 0.3181 data_time: 0.0824 loss: 1.6859 03/12 08:29:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:29:25 - mmengine - INFO - Epoch(train) [404][ 500/1252] lr: 2.6113e-04 eta: 23:20:13 time: 0.3436 data_time: 0.0479 loss: 1.8443 03/12 08:30:00 - mmengine - INFO - Epoch(train) [404][ 600/1252] lr: 2.6113e-04 eta: 23:19:39 time: 0.3517 data_time: 0.1962 loss: 1.8162 03/12 08:30:34 - mmengine - INFO - Epoch(train) [404][ 700/1252] lr: 2.6113e-04 eta: 23:19:05 time: 0.3372 data_time: 0.2109 loss: 1.8658 03/12 08:31:08 - mmengine - INFO - Epoch(train) [404][ 800/1252] lr: 2.6113e-04 eta: 23:18:30 time: 0.4073 data_time: 0.0037 loss: 1.8901 03/12 08:31:42 - mmengine - INFO - Epoch(train) [404][ 900/1252] lr: 2.6113e-04 eta: 23:17:56 time: 0.2656 data_time: 0.1006 loss: 1.8251 03/12 08:32:17 - mmengine - INFO - Epoch(train) [404][1000/1252] lr: 2.6113e-04 eta: 23:17:22 time: 0.3224 data_time: 0.0044 loss: 1.7407 03/12 08:32:51 - mmengine - INFO - Epoch(train) [404][1100/1252] lr: 2.6113e-04 eta: 23:16:48 time: 0.3327 data_time: 0.0041 loss: 1.8716 03/12 08:33:24 - mmengine - INFO - Epoch(train) [404][1200/1252] lr: 2.6113e-04 eta: 23:16:13 time: 0.3222 data_time: 0.0039 loss: 1.8196 03/12 08:33:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:33:43 - mmengine - INFO - Saving checkpoint at 404 epochs 03/12 08:34:07 - mmengine - INFO - Epoch(val) [404][49/49] accuracy/top1: 65.9840 accuracy/top5: 86.5240 03/12 08:34:44 - mmengine - INFO - Epoch(train) [405][ 100/1252] lr: 2.5408e-04 eta: 23:15:23 time: 0.3361 data_time: 0.1904 loss: 1.7221 03/12 08:35:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:35:19 - mmengine - INFO - Epoch(train) [405][ 200/1252] lr: 2.5408e-04 eta: 23:14:49 time: 0.3687 data_time: 0.0045 loss: 1.7928 03/12 08:35:54 - mmengine - INFO - Epoch(train) [405][ 300/1252] lr: 2.5408e-04 eta: 23:14:15 time: 0.3649 data_time: 0.0039 loss: 1.7505 03/12 08:36:27 - mmengine - INFO - Epoch(train) [405][ 400/1252] lr: 2.5408e-04 eta: 23:13:40 time: 0.3297 data_time: 0.0042 loss: 1.9094 03/12 08:37:01 - mmengine - INFO - Epoch(train) [405][ 500/1252] lr: 2.5408e-04 eta: 23:13:06 time: 0.3048 data_time: 0.1808 loss: 1.8283 03/12 08:37:35 - mmengine - INFO - Epoch(train) [405][ 600/1252] lr: 2.5408e-04 eta: 23:12:32 time: 0.3867 data_time: 0.1044 loss: 1.8028 03/12 08:38:09 - mmengine - INFO - Epoch(train) [405][ 700/1252] lr: 2.5408e-04 eta: 23:11:58 time: 0.2881 data_time: 0.0046 loss: 1.7287 03/12 08:38:44 - mmengine - INFO - Epoch(train) [405][ 800/1252] lr: 2.5408e-04 eta: 23:11:23 time: 0.3744 data_time: 0.0048 loss: 1.7486 03/12 08:39:17 - mmengine - INFO - Epoch(train) [405][ 900/1252] lr: 2.5408e-04 eta: 23:10:49 time: 0.2907 data_time: 0.0047 loss: 1.8259 03/12 08:39:51 - mmengine - INFO - Epoch(train) [405][1000/1252] lr: 2.5408e-04 eta: 23:10:14 time: 0.2701 data_time: 0.1160 loss: 1.8543 03/12 08:40:25 - mmengine - INFO - Epoch(train) [405][1100/1252] lr: 2.5408e-04 eta: 23:09:40 time: 0.3278 data_time: 0.2005 loss: 1.8614 03/12 08:40:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:41:00 - mmengine - INFO - Epoch(train) [405][1200/1252] lr: 2.5408e-04 eta: 23:09:06 time: 0.3807 data_time: 0.0380 loss: 1.6692 03/12 08:41:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:41:17 - mmengine - INFO - Saving checkpoint at 405 epochs 03/12 08:41:42 - mmengine - INFO - Epoch(val) [405][49/49] accuracy/top1: 66.2860 accuracy/top5: 86.8480 03/12 08:42:19 - mmengine - INFO - Epoch(train) [406][ 100/1252] lr: 2.5408e-04 eta: 23:08:15 time: 0.3644 data_time: 0.0043 loss: 1.7951 03/12 08:42:52 - mmengine - INFO - Epoch(train) [406][ 200/1252] lr: 2.5408e-04 eta: 23:07:41 time: 0.2982 data_time: 0.0048 loss: 1.8814 03/12 08:43:27 - mmengine - INFO - Epoch(train) [406][ 300/1252] lr: 2.5408e-04 eta: 23:07:07 time: 0.3921 data_time: 0.2110 loss: 1.8938 03/12 08:44:00 - mmengine - INFO - Epoch(train) [406][ 400/1252] lr: 2.5408e-04 eta: 23:06:32 time: 0.3251 data_time: 0.0041 loss: 1.7269 03/12 08:44:34 - mmengine - INFO - Epoch(train) [406][ 500/1252] lr: 2.5408e-04 eta: 23:05:58 time: 0.3485 data_time: 0.1389 loss: 1.7135 03/12 08:45:10 - mmengine - INFO - Epoch(train) [406][ 600/1252] lr: 2.5408e-04 eta: 23:05:25 time: 0.3750 data_time: 0.0042 loss: 1.7908 03/12 08:45:43 - mmengine - INFO - Epoch(train) [406][ 700/1252] lr: 2.5408e-04 eta: 23:04:50 time: 0.3529 data_time: 0.0040 loss: 1.8499 03/12 08:46:17 - mmengine - INFO - Epoch(train) [406][ 800/1252] lr: 2.5408e-04 eta: 23:04:15 time: 0.3408 data_time: 0.0045 loss: 1.8591 03/12 08:46:51 - mmengine - INFO - Epoch(train) [406][ 900/1252] lr: 2.5408e-04 eta: 23:03:41 time: 0.3303 data_time: 0.0705 loss: 1.7962 03/12 08:47:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:47:25 - mmengine - INFO - Epoch(train) [406][1000/1252] lr: 2.5408e-04 eta: 23:03:06 time: 0.3856 data_time: 0.2373 loss: 1.9202 03/12 08:47:58 - mmengine - INFO - Epoch(train) [406][1100/1252] lr: 2.5408e-04 eta: 23:02:32 time: 0.3197 data_time: 0.0041 loss: 1.6729 03/12 08:48:34 - mmengine - INFO - Epoch(train) [406][1200/1252] lr: 2.5408e-04 eta: 23:01:58 time: 0.3343 data_time: 0.1881 loss: 1.8560 03/12 08:48:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:48:50 - mmengine - INFO - Saving checkpoint at 406 epochs 03/12 08:49:15 - mmengine - INFO - Epoch(val) [406][49/49] accuracy/top1: 66.3660 accuracy/top5: 86.6320 03/12 08:49:52 - mmengine - INFO - Epoch(train) [407][ 100/1252] lr: 2.4722e-04 eta: 23:01:07 time: 0.3795 data_time: 0.0957 loss: 1.7111 03/12 08:50:27 - mmengine - INFO - Epoch(train) [407][ 200/1252] lr: 2.4722e-04 eta: 23:00:33 time: 0.3170 data_time: 0.0044 loss: 1.8055 03/12 08:51:00 - mmengine - INFO - Epoch(train) [407][ 300/1252] lr: 2.4722e-04 eta: 22:59:59 time: 0.3631 data_time: 0.0744 loss: 1.8107 03/12 08:51:34 - mmengine - INFO - Epoch(train) [407][ 400/1252] lr: 2.4722e-04 eta: 22:59:24 time: 0.3381 data_time: 0.0037 loss: 1.8222 03/12 08:52:09 - mmengine - INFO - Epoch(train) [407][ 500/1252] lr: 2.4722e-04 eta: 22:58:50 time: 0.3497 data_time: 0.0039 loss: 1.8453 03/12 08:52:43 - mmengine - INFO - Epoch(train) [407][ 600/1252] lr: 2.4722e-04 eta: 22:58:16 time: 0.2991 data_time: 0.0041 loss: 1.8359 03/12 08:53:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:53:16 - mmengine - INFO - Epoch(train) [407][ 700/1252] lr: 2.4722e-04 eta: 22:57:42 time: 0.3901 data_time: 0.1272 loss: 1.8823 03/12 08:53:51 - mmengine - INFO - Epoch(train) [407][ 800/1252] lr: 2.4722e-04 eta: 22:57:07 time: 0.3474 data_time: 0.0044 loss: 1.7796 03/12 08:54:24 - mmengine - INFO - Epoch(train) [407][ 900/1252] lr: 2.4722e-04 eta: 22:56:33 time: 0.3175 data_time: 0.0225 loss: 1.9325 03/12 08:55:00 - mmengine - INFO - Epoch(train) [407][1000/1252] lr: 2.4722e-04 eta: 22:55:59 time: 0.3320 data_time: 0.0042 loss: 1.8753 03/12 08:55:33 - mmengine - INFO - Epoch(train) [407][1100/1252] lr: 2.4722e-04 eta: 22:55:24 time: 0.3107 data_time: 0.1822 loss: 1.8543 03/12 08:56:07 - mmengine - INFO - Epoch(train) [407][1200/1252] lr: 2.4722e-04 eta: 22:54:50 time: 0.3460 data_time: 0.1453 loss: 1.8353 03/12 08:56:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:56:24 - mmengine - INFO - Saving checkpoint at 407 epochs 03/12 08:56:49 - mmengine - INFO - Epoch(val) [407][49/49] accuracy/top1: 66.1340 accuracy/top5: 86.6140 03/12 08:57:26 - mmengine - INFO - Epoch(train) [408][ 100/1252] lr: 2.4722e-04 eta: 22:53:59 time: 0.3492 data_time: 0.0041 loss: 1.7379 03/12 08:58:00 - mmengine - INFO - Epoch(train) [408][ 200/1252] lr: 2.4722e-04 eta: 22:53:25 time: 0.3193 data_time: 0.0338 loss: 1.8565 03/12 08:58:35 - mmengine - INFO - Epoch(train) [408][ 300/1252] lr: 2.4722e-04 eta: 22:52:51 time: 0.3642 data_time: 0.2016 loss: 1.7493 03/12 08:59:09 - mmengine - INFO - Epoch(train) [408][ 400/1252] lr: 2.4722e-04 eta: 22:52:17 time: 0.3214 data_time: 0.1479 loss: 1.7758 03/12 08:59:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 08:59:43 - mmengine - INFO - Epoch(train) [408][ 500/1252] lr: 2.4722e-04 eta: 22:51:43 time: 0.3635 data_time: 0.1109 loss: 1.8577 03/12 09:00:16 - mmengine - INFO - Epoch(train) [408][ 600/1252] lr: 2.4722e-04 eta: 22:51:08 time: 0.3089 data_time: 0.0041 loss: 1.8238 03/12 09:00:51 - mmengine - INFO - Epoch(train) [408][ 700/1252] lr: 2.4722e-04 eta: 22:50:34 time: 0.3395 data_time: 0.1859 loss: 1.7598 03/12 09:01:25 - mmengine - INFO - Epoch(train) [408][ 800/1252] lr: 2.4722e-04 eta: 22:50:00 time: 0.3470 data_time: 0.1235 loss: 1.8002 03/12 09:01:59 - mmengine - INFO - Epoch(train) [408][ 900/1252] lr: 2.4722e-04 eta: 22:49:25 time: 0.3390 data_time: 0.0044 loss: 1.8985 03/12 09:02:34 - mmengine - INFO - Epoch(train) [408][1000/1252] lr: 2.4722e-04 eta: 22:48:51 time: 0.3640 data_time: 0.0039 loss: 1.7876 03/12 09:03:08 - mmengine - INFO - Epoch(train) [408][1100/1252] lr: 2.4722e-04 eta: 22:48:17 time: 0.3159 data_time: 0.1510 loss: 1.7951 03/12 09:03:41 - mmengine - INFO - Epoch(train) [408][1200/1252] lr: 2.4722e-04 eta: 22:47:42 time: 0.2916 data_time: 0.0051 loss: 1.7449 03/12 09:03:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:03:58 - mmengine - INFO - Saving checkpoint at 408 epochs 03/12 09:04:22 - mmengine - INFO - Epoch(val) [408][49/49] accuracy/top1: 66.4380 accuracy/top5: 86.8540 03/12 09:05:00 - mmengine - INFO - Epoch(train) [409][ 100/1252] lr: 2.4055e-04 eta: 22:46:51 time: 0.3792 data_time: 0.0040 loss: 1.8229 03/12 09:05:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:05:33 - mmengine - INFO - Epoch(train) [409][ 200/1252] lr: 2.4055e-04 eta: 22:46:17 time: 0.2851 data_time: 0.0043 loss: 1.7826 03/12 09:06:09 - mmengine - INFO - Epoch(train) [409][ 300/1252] lr: 2.4055e-04 eta: 22:45:43 time: 0.4029 data_time: 0.1187 loss: 1.7446 03/12 09:06:42 - mmengine - INFO - Epoch(train) [409][ 400/1252] lr: 2.4055e-04 eta: 22:45:09 time: 0.3066 data_time: 0.0042 loss: 1.8736 03/12 09:07:16 - mmengine - INFO - Epoch(train) [409][ 500/1252] lr: 2.4055e-04 eta: 22:44:35 time: 0.3016 data_time: 0.0228 loss: 1.7956 03/12 09:07:50 - mmengine - INFO - Epoch(train) [409][ 600/1252] lr: 2.4055e-04 eta: 22:44:00 time: 0.2973 data_time: 0.0173 loss: 1.8782 03/12 09:08:24 - mmengine - INFO - Epoch(train) [409][ 700/1252] lr: 2.4055e-04 eta: 22:43:26 time: 0.3340 data_time: 0.1639 loss: 1.6979 03/12 09:08:59 - mmengine - INFO - Epoch(train) [409][ 800/1252] lr: 2.4055e-04 eta: 22:42:52 time: 0.3687 data_time: 0.0040 loss: 1.8077 03/12 09:09:34 - mmengine - INFO - Epoch(train) [409][ 900/1252] lr: 2.4055e-04 eta: 22:42:18 time: 0.3614 data_time: 0.0039 loss: 1.6948 03/12 09:10:07 - mmengine - INFO - Epoch(train) [409][1000/1252] lr: 2.4055e-04 eta: 22:41:44 time: 0.3613 data_time: 0.0044 loss: 1.8724 03/12 09:10:41 - mmengine - INFO - Epoch(train) [409][1100/1252] lr: 2.4055e-04 eta: 22:41:09 time: 0.3578 data_time: 0.0042 loss: 1.8452 03/12 09:11:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:11:15 - mmengine - INFO - Epoch(train) [409][1200/1252] lr: 2.4055e-04 eta: 22:40:35 time: 0.3124 data_time: 0.0042 loss: 1.8080 03/12 09:11:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:11:32 - mmengine - INFO - Saving checkpoint at 409 epochs 03/12 09:11:57 - mmengine - INFO - Epoch(val) [409][49/49] accuracy/top1: 66.0000 accuracy/top5: 86.5680 03/12 09:12:34 - mmengine - INFO - Epoch(train) [410][ 100/1252] lr: 2.4055e-04 eta: 22:39:44 time: 0.3637 data_time: 0.2113 loss: 1.8207 03/12 09:13:08 - mmengine - INFO - Epoch(train) [410][ 200/1252] lr: 2.4055e-04 eta: 22:39:09 time: 0.3767 data_time: 0.0047 loss: 1.7570 03/12 09:13:41 - mmengine - INFO - Epoch(train) [410][ 300/1252] lr: 2.4055e-04 eta: 22:38:35 time: 0.3455 data_time: 0.0045 loss: 1.7753 03/12 09:14:15 - mmengine - INFO - Epoch(train) [410][ 400/1252] lr: 2.4055e-04 eta: 22:38:00 time: 0.3084 data_time: 0.0323 loss: 1.8047 03/12 09:14:50 - mmengine - INFO - Epoch(train) [410][ 500/1252] lr: 2.4055e-04 eta: 22:37:26 time: 0.3613 data_time: 0.0042 loss: 1.7946 03/12 09:15:24 - mmengine - INFO - Epoch(train) [410][ 600/1252] lr: 2.4055e-04 eta: 22:36:52 time: 0.3804 data_time: 0.1246 loss: 1.8394 03/12 09:15:58 - mmengine - INFO - Epoch(train) [410][ 700/1252] lr: 2.4055e-04 eta: 22:36:18 time: 0.3294 data_time: 0.0044 loss: 1.8121 03/12 09:16:31 - mmengine - INFO - Epoch(train) [410][ 800/1252] lr: 2.4055e-04 eta: 22:35:43 time: 0.3580 data_time: 0.0041 loss: 1.6986 03/12 09:17:06 - mmengine - INFO - Epoch(train) [410][ 900/1252] lr: 2.4055e-04 eta: 22:35:09 time: 0.3326 data_time: 0.0038 loss: 1.8282 03/12 09:17:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:17:40 - mmengine - INFO - Epoch(train) [410][1000/1252] lr: 2.4055e-04 eta: 22:34:35 time: 0.3105 data_time: 0.0679 loss: 1.8046 03/12 09:18:14 - mmengine - INFO - Epoch(train) [410][1100/1252] lr: 2.4055e-04 eta: 22:34:01 time: 0.3109 data_time: 0.0046 loss: 1.7478 03/12 09:18:48 - mmengine - INFO - Epoch(train) [410][1200/1252] lr: 2.4055e-04 eta: 22:33:26 time: 0.3720 data_time: 0.0398 loss: 1.7225 03/12 09:19:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:19:05 - mmengine - INFO - Saving checkpoint at 410 epochs 03/12 09:19:31 - mmengine - INFO - Epoch(val) [410][49/49] accuracy/top1: 66.4740 accuracy/top5: 86.8120 03/12 09:20:09 - mmengine - INFO - Epoch(train) [411][ 100/1252] lr: 2.3405e-04 eta: 22:32:35 time: 0.2953 data_time: 0.0050 loss: 1.9312 03/12 09:20:42 - mmengine - INFO - Epoch(train) [411][ 200/1252] lr: 2.3405e-04 eta: 22:32:01 time: 0.3758 data_time: 0.1142 loss: 1.7779 03/12 09:21:17 - mmengine - INFO - Epoch(train) [411][ 300/1252] lr: 2.3405e-04 eta: 22:31:27 time: 0.3352 data_time: 0.0047 loss: 1.7734 03/12 09:21:51 - mmengine - INFO - Epoch(train) [411][ 400/1252] lr: 2.3405e-04 eta: 22:30:52 time: 0.4051 data_time: 0.0040 loss: 1.8176 03/12 09:22:24 - mmengine - INFO - Epoch(train) [411][ 500/1252] lr: 2.3405e-04 eta: 22:30:18 time: 0.3156 data_time: 0.1421 loss: 1.9831 03/12 09:22:59 - mmengine - INFO - Epoch(train) [411][ 600/1252] lr: 2.3405e-04 eta: 22:29:44 time: 0.3712 data_time: 0.0128 loss: 1.7927 03/12 09:23:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:23:33 - mmengine - INFO - Epoch(train) [411][ 700/1252] lr: 2.3405e-04 eta: 22:29:09 time: 0.3239 data_time: 0.0040 loss: 1.8534 03/12 09:24:07 - mmengine - INFO - Epoch(train) [411][ 800/1252] lr: 2.3405e-04 eta: 22:28:35 time: 0.3386 data_time: 0.0044 loss: 1.8068 03/12 09:24:41 - mmengine - INFO - Epoch(train) [411][ 900/1252] lr: 2.3405e-04 eta: 22:28:01 time: 0.3309 data_time: 0.0040 loss: 1.8049 03/12 09:25:15 - mmengine - INFO - Epoch(train) [411][1000/1252] lr: 2.3405e-04 eta: 22:27:27 time: 0.3725 data_time: 0.0040 loss: 1.7735 03/12 09:25:49 - mmengine - INFO - Epoch(train) [411][1100/1252] lr: 2.3405e-04 eta: 22:26:52 time: 0.3186 data_time: 0.0043 loss: 1.7585 03/12 09:26:23 - mmengine - INFO - Epoch(train) [411][1200/1252] lr: 2.3405e-04 eta: 22:26:18 time: 0.3335 data_time: 0.0833 loss: 1.7969 03/12 09:26:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:26:41 - mmengine - INFO - Saving checkpoint at 411 epochs 03/12 09:27:05 - mmengine - INFO - Epoch(val) [411][49/49] accuracy/top1: 66.3940 accuracy/top5: 86.6460 03/12 09:27:43 - mmengine - INFO - Epoch(train) [412][ 100/1252] lr: 2.3405e-04 eta: 22:25:27 time: 0.3838 data_time: 0.0043 loss: 1.7932 03/12 09:28:17 - mmengine - INFO - Epoch(train) [412][ 200/1252] lr: 2.3405e-04 eta: 22:24:53 time: 0.3346 data_time: 0.0417 loss: 1.8029 03/12 09:28:51 - mmengine - INFO - Epoch(train) [412][ 300/1252] lr: 2.3405e-04 eta: 22:24:19 time: 0.3321 data_time: 0.0043 loss: 1.8566 03/12 09:29:24 - mmengine - INFO - Epoch(train) [412][ 400/1252] lr: 2.3405e-04 eta: 22:23:44 time: 0.3530 data_time: 0.0043 loss: 1.8180 03/12 09:29:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:29:58 - mmengine - INFO - Epoch(train) [412][ 500/1252] lr: 2.3405e-04 eta: 22:23:10 time: 0.3647 data_time: 0.0039 loss: 1.6876 03/12 09:30:32 - mmengine - INFO - Epoch(train) [412][ 600/1252] lr: 2.3405e-04 eta: 22:22:35 time: 0.3252 data_time: 0.0042 loss: 1.7720 03/12 09:31:07 - mmengine - INFO - Epoch(train) [412][ 700/1252] lr: 2.3405e-04 eta: 22:22:01 time: 0.3164 data_time: 0.0904 loss: 1.8297 03/12 09:31:41 - mmengine - INFO - Epoch(train) [412][ 800/1252] lr: 2.3405e-04 eta: 22:21:27 time: 0.3763 data_time: 0.0043 loss: 1.7175 03/12 09:32:15 - mmengine - INFO - Epoch(train) [412][ 900/1252] lr: 2.3405e-04 eta: 22:20:53 time: 0.3630 data_time: 0.0053 loss: 1.7845 03/12 09:32:48 - mmengine - INFO - Epoch(train) [412][1000/1252] lr: 2.3405e-04 eta: 22:20:18 time: 0.3557 data_time: 0.0275 loss: 1.9761 03/12 09:33:22 - mmengine - INFO - Epoch(train) [412][1100/1252] lr: 2.3405e-04 eta: 22:19:44 time: 0.3083 data_time: 0.0770 loss: 1.8184 03/12 09:33:57 - mmengine - INFO - Epoch(train) [412][1200/1252] lr: 2.3405e-04 eta: 22:19:10 time: 0.3497 data_time: 0.0043 loss: 1.8029 03/12 09:34:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:34:14 - mmengine - INFO - Saving checkpoint at 412 epochs 03/12 09:34:40 - mmengine - INFO - Epoch(val) [412][49/49] accuracy/top1: 66.6020 accuracy/top5: 86.8500 03/12 09:35:16 - mmengine - INFO - Epoch(train) [413][ 100/1252] lr: 2.2773e-04 eta: 22:18:18 time: 0.2757 data_time: 0.0047 loss: 1.7574 03/12 09:35:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:35:50 - mmengine - INFO - Epoch(train) [413][ 200/1252] lr: 2.2773e-04 eta: 22:17:44 time: 0.3317 data_time: 0.0042 loss: 1.8172 03/12 09:36:24 - mmengine - INFO - Epoch(train) [413][ 300/1252] lr: 2.2773e-04 eta: 22:17:10 time: 0.2960 data_time: 0.0348 loss: 1.7553 03/12 09:36:59 - mmengine - INFO - Epoch(train) [413][ 400/1252] lr: 2.2773e-04 eta: 22:16:36 time: 0.3527 data_time: 0.0048 loss: 1.8306 03/12 09:37:33 - mmengine - INFO - Epoch(train) [413][ 500/1252] lr: 2.2773e-04 eta: 22:16:02 time: 0.3508 data_time: 0.0040 loss: 1.7108 03/12 09:38:07 - mmengine - INFO - Epoch(train) [413][ 600/1252] lr: 2.2773e-04 eta: 22:15:27 time: 0.3741 data_time: 0.0184 loss: 1.7648 03/12 09:38:41 - mmengine - INFO - Epoch(train) [413][ 700/1252] lr: 2.2773e-04 eta: 22:14:53 time: 0.3381 data_time: 0.0116 loss: 1.7507 03/12 09:39:14 - mmengine - INFO - Epoch(train) [413][ 800/1252] lr: 2.2773e-04 eta: 22:14:18 time: 0.3073 data_time: 0.0763 loss: 1.7457 03/12 09:39:49 - mmengine - INFO - Epoch(train) [413][ 900/1252] lr: 2.2773e-04 eta: 22:13:44 time: 0.3613 data_time: 0.0127 loss: 1.7333 03/12 09:40:23 - mmengine - INFO - Epoch(train) [413][1000/1252] lr: 2.2773e-04 eta: 22:13:10 time: 0.3941 data_time: 0.2671 loss: 1.7446 03/12 09:40:57 - mmengine - INFO - Epoch(train) [413][1100/1252] lr: 2.2773e-04 eta: 22:12:36 time: 0.3640 data_time: 0.0925 loss: 1.8462 03/12 09:41:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:41:31 - mmengine - INFO - Epoch(train) [413][1200/1252] lr: 2.2773e-04 eta: 22:12:01 time: 0.3689 data_time: 0.2174 loss: 1.7482 03/12 09:41:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:41:48 - mmengine - INFO - Saving checkpoint at 413 epochs 03/12 09:42:12 - mmengine - INFO - Epoch(val) [413][49/49] accuracy/top1: 66.3120 accuracy/top5: 86.7640 03/12 09:42:49 - mmengine - INFO - Epoch(train) [414][ 100/1252] lr: 2.2773e-04 eta: 22:11:10 time: 0.3222 data_time: 0.1952 loss: 1.7275 03/12 09:43:23 - mmengine - INFO - Epoch(train) [414][ 200/1252] lr: 2.2773e-04 eta: 22:10:36 time: 0.2970 data_time: 0.0041 loss: 1.7275 03/12 09:43:58 - mmengine - INFO - Epoch(train) [414][ 300/1252] lr: 2.2773e-04 eta: 22:10:02 time: 0.3308 data_time: 0.0042 loss: 1.7685 03/12 09:44:31 - mmengine - INFO - Epoch(train) [414][ 400/1252] lr: 2.2773e-04 eta: 22:09:27 time: 0.3262 data_time: 0.0042 loss: 1.8779 03/12 09:45:04 - mmengine - INFO - Epoch(train) [414][ 500/1252] lr: 2.2773e-04 eta: 22:08:53 time: 0.3082 data_time: 0.0483 loss: 1.7465 03/12 09:45:38 - mmengine - INFO - Epoch(train) [414][ 600/1252] lr: 2.2773e-04 eta: 22:08:18 time: 0.3630 data_time: 0.0878 loss: 1.8147 03/12 09:46:12 - mmengine - INFO - Epoch(train) [414][ 700/1252] lr: 2.2773e-04 eta: 22:07:44 time: 0.3044 data_time: 0.0046 loss: 1.7346 03/12 09:46:47 - mmengine - INFO - Epoch(train) [414][ 800/1252] lr: 2.2773e-04 eta: 22:07:10 time: 0.3007 data_time: 0.0167 loss: 1.9138 03/12 09:47:21 - mmengine - INFO - Epoch(train) [414][ 900/1252] lr: 2.2773e-04 eta: 22:06:36 time: 0.2843 data_time: 0.0250 loss: 1.8170 03/12 09:47:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:47:55 - mmengine - INFO - Epoch(train) [414][1000/1252] lr: 2.2773e-04 eta: 22:06:02 time: 0.3491 data_time: 0.0041 loss: 1.7484 03/12 09:48:30 - mmengine - INFO - Epoch(train) [414][1100/1252] lr: 2.2773e-04 eta: 22:05:28 time: 0.3449 data_time: 0.0049 loss: 1.8848 03/12 09:49:03 - mmengine - INFO - Epoch(train) [414][1200/1252] lr: 2.2773e-04 eta: 22:04:53 time: 0.3741 data_time: 0.0351 loss: 1.6221 03/12 09:49:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:49:21 - mmengine - INFO - Saving checkpoint at 414 epochs 03/12 09:49:47 - mmengine - INFO - Epoch(val) [414][49/49] accuracy/top1: 66.2640 accuracy/top5: 86.7300 03/12 09:50:23 - mmengine - INFO - Epoch(train) [415][ 100/1252] lr: 2.2158e-04 eta: 22:04:02 time: 0.3372 data_time: 0.0044 loss: 1.8239 03/12 09:50:58 - mmengine - INFO - Epoch(train) [415][ 200/1252] lr: 2.2158e-04 eta: 22:03:28 time: 0.3444 data_time: 0.0045 loss: 1.8481 03/12 09:51:32 - mmengine - INFO - Epoch(train) [415][ 300/1252] lr: 2.2158e-04 eta: 22:02:54 time: 0.3129 data_time: 0.0052 loss: 1.8284 03/12 09:52:06 - mmengine - INFO - Epoch(train) [415][ 400/1252] lr: 2.2158e-04 eta: 22:02:20 time: 0.3445 data_time: 0.0040 loss: 1.8105 03/12 09:52:40 - mmengine - INFO - Epoch(train) [415][ 500/1252] lr: 2.2158e-04 eta: 22:01:45 time: 0.3338 data_time: 0.0040 loss: 1.6655 03/12 09:53:15 - mmengine - INFO - Epoch(train) [415][ 600/1252] lr: 2.2158e-04 eta: 22:01:11 time: 0.3466 data_time: 0.0038 loss: 1.7742 03/12 09:53:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:53:48 - mmengine - INFO - Epoch(train) [415][ 700/1252] lr: 2.2158e-04 eta: 22:00:36 time: 0.2966 data_time: 0.0041 loss: 1.7847 03/12 09:54:22 - mmengine - INFO - Epoch(train) [415][ 800/1252] lr: 2.2158e-04 eta: 22:00:02 time: 0.3575 data_time: 0.0162 loss: 1.6455 03/12 09:54:56 - mmengine - INFO - Epoch(train) [415][ 900/1252] lr: 2.2158e-04 eta: 21:59:28 time: 0.2956 data_time: 0.0046 loss: 1.8582 03/12 09:55:30 - mmengine - INFO - Epoch(train) [415][1000/1252] lr: 2.2158e-04 eta: 21:58:54 time: 0.3018 data_time: 0.1366 loss: 1.7926 03/12 09:56:05 - mmengine - INFO - Epoch(train) [415][1100/1252] lr: 2.2158e-04 eta: 21:58:20 time: 0.3399 data_time: 0.0043 loss: 1.7132 03/12 09:56:39 - mmengine - INFO - Epoch(train) [415][1200/1252] lr: 2.2158e-04 eta: 21:57:45 time: 0.3645 data_time: 0.0040 loss: 1.8613 03/12 09:56:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 09:56:56 - mmengine - INFO - Saving checkpoint at 415 epochs 03/12 09:57:21 - mmengine - INFO - Epoch(val) [415][49/49] accuracy/top1: 66.0840 accuracy/top5: 86.5800 03/12 09:57:57 - mmengine - INFO - Epoch(train) [416][ 100/1252] lr: 2.2158e-04 eta: 21:56:54 time: 0.3250 data_time: 0.1675 loss: 1.7527 03/12 09:58:32 - mmengine - INFO - Epoch(train) [416][ 200/1252] lr: 2.2158e-04 eta: 21:56:20 time: 0.4022 data_time: 0.1019 loss: 1.7847 03/12 09:59:05 - mmengine - INFO - Epoch(train) [416][ 300/1252] lr: 2.2158e-04 eta: 21:55:45 time: 0.3011 data_time: 0.0042 loss: 1.6860 03/12 09:59:39 - mmengine - INFO - Epoch(train) [416][ 400/1252] lr: 2.2158e-04 eta: 21:55:11 time: 0.3053 data_time: 0.0040 loss: 1.6933 03/12 09:59:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:00:14 - mmengine - INFO - Epoch(train) [416][ 500/1252] lr: 2.2158e-04 eta: 21:54:37 time: 0.3854 data_time: 0.0044 loss: 1.6660 03/12 10:00:47 - mmengine - INFO - Epoch(train) [416][ 600/1252] lr: 2.2158e-04 eta: 21:54:03 time: 0.3635 data_time: 0.0048 loss: 1.8414 03/12 10:01:22 - mmengine - INFO - Epoch(train) [416][ 700/1252] lr: 2.2158e-04 eta: 21:53:29 time: 0.4199 data_time: 0.0060 loss: 1.7660 03/12 10:01:56 - mmengine - INFO - Epoch(train) [416][ 800/1252] lr: 2.2158e-04 eta: 21:52:54 time: 0.2693 data_time: 0.0046 loss: 1.7226 03/12 10:02:30 - mmengine - INFO - Epoch(train) [416][ 900/1252] lr: 2.2158e-04 eta: 21:52:20 time: 0.3429 data_time: 0.0489 loss: 1.8853 03/12 10:03:04 - mmengine - INFO - Epoch(train) [416][1000/1252] lr: 2.2158e-04 eta: 21:51:46 time: 0.3554 data_time: 0.0047 loss: 1.8203 03/12 10:03:38 - mmengine - INFO - Epoch(train) [416][1100/1252] lr: 2.2158e-04 eta: 21:51:11 time: 0.3163 data_time: 0.0042 loss: 1.8905 03/12 10:04:12 - mmengine - INFO - Epoch(train) [416][1200/1252] lr: 2.2158e-04 eta: 21:50:37 time: 0.3550 data_time: 0.2068 loss: 1.9105 03/12 10:04:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:04:29 - mmengine - INFO - Saving checkpoint at 416 epochs 03/12 10:04:54 - mmengine - INFO - Epoch(val) [416][49/49] accuracy/top1: 66.4260 accuracy/top5: 86.7420 03/12 10:05:30 - mmengine - INFO - Epoch(train) [417][ 100/1252] lr: 2.1560e-04 eta: 21:49:46 time: 0.3315 data_time: 0.0045 loss: 1.7846 03/12 10:05:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:06:05 - mmengine - INFO - Epoch(train) [417][ 200/1252] lr: 2.1560e-04 eta: 21:49:12 time: 0.3363 data_time: 0.0041 loss: 1.7540 03/12 10:06:39 - mmengine - INFO - Epoch(train) [417][ 300/1252] lr: 2.1560e-04 eta: 21:48:38 time: 0.2887 data_time: 0.0040 loss: 1.7552 03/12 10:07:14 - mmengine - INFO - Epoch(train) [417][ 400/1252] lr: 2.1560e-04 eta: 21:48:04 time: 0.4017 data_time: 0.0040 loss: 1.7933 03/12 10:07:47 - mmengine - INFO - Epoch(train) [417][ 500/1252] lr: 2.1560e-04 eta: 21:47:29 time: 0.3396 data_time: 0.0040 loss: 1.7815 03/12 10:08:21 - mmengine - INFO - Epoch(train) [417][ 600/1252] lr: 2.1560e-04 eta: 21:46:55 time: 0.3444 data_time: 0.0046 loss: 1.6664 03/12 10:08:55 - mmengine - INFO - Epoch(train) [417][ 700/1252] lr: 2.1560e-04 eta: 21:46:21 time: 0.4072 data_time: 0.0844 loss: 1.8385 03/12 10:09:29 - mmengine - INFO - Epoch(train) [417][ 800/1252] lr: 2.1560e-04 eta: 21:45:46 time: 0.3052 data_time: 0.0263 loss: 1.8414 03/12 10:10:04 - mmengine - INFO - Epoch(train) [417][ 900/1252] lr: 2.1560e-04 eta: 21:45:12 time: 0.3425 data_time: 0.0046 loss: 1.7310 03/12 10:10:38 - mmengine - INFO - Epoch(train) [417][1000/1252] lr: 2.1560e-04 eta: 21:44:38 time: 0.3490 data_time: 0.0046 loss: 1.7614 03/12 10:11:12 - mmengine - INFO - Epoch(train) [417][1100/1252] lr: 2.1560e-04 eta: 21:44:04 time: 0.3044 data_time: 0.0043 loss: 1.7577 03/12 10:11:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:11:45 - mmengine - INFO - Epoch(train) [417][1200/1252] lr: 2.1560e-04 eta: 21:43:29 time: 0.3382 data_time: 0.0724 loss: 1.7968 03/12 10:12:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:12:03 - mmengine - INFO - Saving checkpoint at 417 epochs 03/12 10:12:28 - mmengine - INFO - Epoch(val) [417][49/49] accuracy/top1: 66.3900 accuracy/top5: 86.8220 03/12 10:13:05 - mmengine - INFO - Epoch(train) [418][ 100/1252] lr: 2.1560e-04 eta: 21:42:38 time: 0.2924 data_time: 0.1397 loss: 1.7207 03/12 10:13:39 - mmengine - INFO - Epoch(train) [418][ 200/1252] lr: 2.1560e-04 eta: 21:42:04 time: 0.3330 data_time: 0.0783 loss: 1.7938 03/12 10:14:13 - mmengine - INFO - Epoch(train) [418][ 300/1252] lr: 2.1560e-04 eta: 21:41:30 time: 0.3218 data_time: 0.0178 loss: 1.7191 03/12 10:14:47 - mmengine - INFO - Epoch(train) [418][ 400/1252] lr: 2.1560e-04 eta: 21:40:55 time: 0.3228 data_time: 0.0043 loss: 1.6909 03/12 10:15:21 - mmengine - INFO - Epoch(train) [418][ 500/1252] lr: 2.1560e-04 eta: 21:40:21 time: 0.3352 data_time: 0.0044 loss: 1.7617 03/12 10:15:55 - mmengine - INFO - Epoch(train) [418][ 600/1252] lr: 2.1560e-04 eta: 21:39:47 time: 0.3663 data_time: 0.0049 loss: 1.7579 03/12 10:16:29 - mmengine - INFO - Epoch(train) [418][ 700/1252] lr: 2.1560e-04 eta: 21:39:13 time: 0.3170 data_time: 0.0041 loss: 1.7857 03/12 10:17:03 - mmengine - INFO - Epoch(train) [418][ 800/1252] lr: 2.1560e-04 eta: 21:38:38 time: 0.3100 data_time: 0.1507 loss: 1.7756 03/12 10:17:37 - mmengine - INFO - Epoch(train) [418][ 900/1252] lr: 2.1560e-04 eta: 21:38:04 time: 0.3482 data_time: 0.0437 loss: 1.9201 03/12 10:17:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:18:13 - mmengine - INFO - Epoch(train) [418][1000/1252] lr: 2.1560e-04 eta: 21:37:30 time: 0.3310 data_time: 0.0039 loss: 1.9916 03/12 10:18:47 - mmengine - INFO - Epoch(train) [418][1100/1252] lr: 2.1560e-04 eta: 21:36:56 time: 0.3774 data_time: 0.0046 loss: 2.0008 03/12 10:19:20 - mmengine - INFO - Epoch(train) [418][1200/1252] lr: 2.1560e-04 eta: 21:36:21 time: 0.2771 data_time: 0.0040 loss: 1.7096 03/12 10:19:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:19:37 - mmengine - INFO - Saving checkpoint at 418 epochs 03/12 10:20:00 - mmengine - INFO - Epoch(val) [418][49/49] accuracy/top1: 66.1940 accuracy/top5: 86.7320 03/12 10:20:38 - mmengine - INFO - Epoch(train) [419][ 100/1252] lr: 2.0978e-04 eta: 21:35:30 time: 0.3782 data_time: 0.0046 loss: 1.8616 03/12 10:21:11 - mmengine - INFO - Epoch(train) [419][ 200/1252] lr: 2.0978e-04 eta: 21:34:56 time: 0.3065 data_time: 0.0836 loss: 1.7436 03/12 10:21:46 - mmengine - INFO - Epoch(train) [419][ 300/1252] lr: 2.0978e-04 eta: 21:34:22 time: 0.3814 data_time: 0.0039 loss: 1.8451 03/12 10:22:19 - mmengine - INFO - Epoch(train) [419][ 400/1252] lr: 2.0978e-04 eta: 21:33:47 time: 0.2939 data_time: 0.0315 loss: 1.8458 03/12 10:22:53 - mmengine - INFO - Epoch(train) [419][ 500/1252] lr: 2.0978e-04 eta: 21:33:13 time: 0.3152 data_time: 0.1014 loss: 1.8399 03/12 10:23:28 - mmengine - INFO - Epoch(train) [419][ 600/1252] lr: 2.0978e-04 eta: 21:32:39 time: 0.3445 data_time: 0.0042 loss: 1.7402 03/12 10:23:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:24:02 - mmengine - INFO - Epoch(train) [419][ 700/1252] lr: 2.0978e-04 eta: 21:32:05 time: 0.3775 data_time: 0.0527 loss: 1.7761 03/12 10:24:36 - mmengine - INFO - Epoch(train) [419][ 800/1252] lr: 2.0978e-04 eta: 21:31:30 time: 0.3399 data_time: 0.0043 loss: 1.7200 03/12 10:25:10 - mmengine - INFO - Epoch(train) [419][ 900/1252] lr: 2.0978e-04 eta: 21:30:56 time: 0.3854 data_time: 0.0045 loss: 1.7429 03/12 10:25:44 - mmengine - INFO - Epoch(train) [419][1000/1252] lr: 2.0978e-04 eta: 21:30:22 time: 0.3379 data_time: 0.0046 loss: 1.8122 03/12 10:26:19 - mmengine - INFO - Epoch(train) [419][1100/1252] lr: 2.0978e-04 eta: 21:29:48 time: 0.3900 data_time: 0.0038 loss: 1.7362 03/12 10:26:53 - mmengine - INFO - Epoch(train) [419][1200/1252] lr: 2.0978e-04 eta: 21:29:14 time: 0.3151 data_time: 0.0929 loss: 1.8073 03/12 10:27:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:27:10 - mmengine - INFO - Saving checkpoint at 419 epochs 03/12 10:27:35 - mmengine - INFO - Epoch(val) [419][49/49] accuracy/top1: 66.4280 accuracy/top5: 86.8100 03/12 10:28:12 - mmengine - INFO - Epoch(train) [420][ 100/1252] lr: 2.0978e-04 eta: 21:28:23 time: 0.3893 data_time: 0.1584 loss: 1.7585 03/12 10:28:46 - mmengine - INFO - Epoch(train) [420][ 200/1252] lr: 2.0978e-04 eta: 21:27:48 time: 0.3328 data_time: 0.0227 loss: 1.7258 03/12 10:29:20 - mmengine - INFO - Epoch(train) [420][ 300/1252] lr: 2.0978e-04 eta: 21:27:14 time: 0.3238 data_time: 0.0987 loss: 1.7282 03/12 10:29:53 - mmengine - INFO - Epoch(train) [420][ 400/1252] lr: 2.0978e-04 eta: 21:26:40 time: 0.3254 data_time: 0.0047 loss: 1.7992 03/12 10:29:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:30:28 - mmengine - INFO - Epoch(train) [420][ 500/1252] lr: 2.0978e-04 eta: 21:26:05 time: 0.3421 data_time: 0.0042 loss: 1.7390 03/12 10:31:02 - mmengine - INFO - Epoch(train) [420][ 600/1252] lr: 2.0978e-04 eta: 21:25:31 time: 0.3584 data_time: 0.0926 loss: 1.8465 03/12 10:31:36 - mmengine - INFO - Epoch(train) [420][ 700/1252] lr: 2.0978e-04 eta: 21:24:57 time: 0.2935 data_time: 0.0606 loss: 1.8394 03/12 10:32:10 - mmengine - INFO - Epoch(train) [420][ 800/1252] lr: 2.0978e-04 eta: 21:24:23 time: 0.3435 data_time: 0.1094 loss: 1.7410 03/12 10:32:44 - mmengine - INFO - Epoch(train) [420][ 900/1252] lr: 2.0978e-04 eta: 21:23:48 time: 0.3722 data_time: 0.0038 loss: 1.8698 03/12 10:33:18 - mmengine - INFO - Epoch(train) [420][1000/1252] lr: 2.0978e-04 eta: 21:23:14 time: 0.3513 data_time: 0.0486 loss: 1.8115 03/12 10:33:52 - mmengine - INFO - Epoch(train) [420][1100/1252] lr: 2.0978e-04 eta: 21:22:40 time: 0.3118 data_time: 0.0040 loss: 1.8205 03/12 10:34:26 - mmengine - INFO - Epoch(train) [420][1200/1252] lr: 2.0978e-04 eta: 21:22:06 time: 0.3264 data_time: 0.0402 loss: 1.7756 03/12 10:34:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:34:43 - mmengine - INFO - Saving checkpoint at 420 epochs 03/12 10:35:07 - mmengine - INFO - Epoch(val) [420][49/49] accuracy/top1: 66.3440 accuracy/top5: 86.8160 03/12 10:35:44 - mmengine - INFO - Epoch(train) [421][ 100/1252] lr: 2.0412e-04 eta: 21:21:14 time: 0.3518 data_time: 0.1600 loss: 1.7246 03/12 10:36:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:36:18 - mmengine - INFO - Epoch(train) [421][ 200/1252] lr: 2.0412e-04 eta: 21:20:40 time: 0.3226 data_time: 0.1453 loss: 1.8153 03/12 10:36:52 - mmengine - INFO - Epoch(train) [421][ 300/1252] lr: 2.0412e-04 eta: 21:20:06 time: 0.3756 data_time: 0.0814 loss: 1.7675 03/12 10:37:26 - mmengine - INFO - Epoch(train) [421][ 400/1252] lr: 2.0412e-04 eta: 21:19:32 time: 0.3187 data_time: 0.0042 loss: 1.7917 03/12 10:38:00 - mmengine - INFO - Epoch(train) [421][ 500/1252] lr: 2.0412e-04 eta: 21:18:57 time: 0.3164 data_time: 0.1656 loss: 1.8643 03/12 10:38:35 - mmengine - INFO - Epoch(train) [421][ 600/1252] lr: 2.0412e-04 eta: 21:18:23 time: 0.3726 data_time: 0.0373 loss: 1.8269 03/12 10:39:08 - mmengine - INFO - Epoch(train) [421][ 700/1252] lr: 2.0412e-04 eta: 21:17:49 time: 0.3306 data_time: 0.0141 loss: 1.7789 03/12 10:39:43 - mmengine - INFO - Epoch(train) [421][ 800/1252] lr: 2.0412e-04 eta: 21:17:15 time: 0.3408 data_time: 0.1978 loss: 1.7384 03/12 10:40:18 - mmengine - INFO - Epoch(train) [421][ 900/1252] lr: 2.0412e-04 eta: 21:16:41 time: 0.3936 data_time: 0.0040 loss: 1.7285 03/12 10:40:51 - mmengine - INFO - Epoch(train) [421][1000/1252] lr: 2.0412e-04 eta: 21:16:06 time: 0.3462 data_time: 0.1202 loss: 1.7977 03/12 10:41:26 - mmengine - INFO - Epoch(train) [421][1100/1252] lr: 2.0412e-04 eta: 21:15:32 time: 0.3531 data_time: 0.0214 loss: 1.7087 03/12 10:41:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:42:00 - mmengine - INFO - Epoch(train) [421][1200/1252] lr: 2.0412e-04 eta: 21:14:58 time: 0.3317 data_time: 0.0041 loss: 1.7237 03/12 10:42:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:42:17 - mmengine - INFO - Saving checkpoint at 421 epochs 03/12 10:42:41 - mmengine - INFO - Epoch(val) [421][49/49] accuracy/top1: 66.1480 accuracy/top5: 86.6280 03/12 10:43:17 - mmengine - INFO - Epoch(train) [422][ 100/1252] lr: 2.0412e-04 eta: 21:14:06 time: 0.2984 data_time: 0.0289 loss: 1.7306 03/12 10:43:51 - mmengine - INFO - Epoch(train) [422][ 200/1252] lr: 2.0412e-04 eta: 21:13:32 time: 0.3278 data_time: 0.1822 loss: 1.7362 03/12 10:44:26 - mmengine - INFO - Epoch(train) [422][ 300/1252] lr: 2.0412e-04 eta: 21:12:58 time: 0.2821 data_time: 0.0050 loss: 1.7981 03/12 10:45:00 - mmengine - INFO - Epoch(train) [422][ 400/1252] lr: 2.0412e-04 eta: 21:12:24 time: 0.3115 data_time: 0.0273 loss: 1.8236 03/12 10:45:34 - mmengine - INFO - Epoch(train) [422][ 500/1252] lr: 2.0412e-04 eta: 21:11:50 time: 0.3526 data_time: 0.0074 loss: 1.8086 03/12 10:46:08 - mmengine - INFO - Epoch(train) [422][ 600/1252] lr: 2.0412e-04 eta: 21:11:16 time: 0.3259 data_time: 0.0043 loss: 1.7774 03/12 10:46:42 - mmengine - INFO - Epoch(train) [422][ 700/1252] lr: 2.0412e-04 eta: 21:10:41 time: 0.3064 data_time: 0.0042 loss: 1.7986 03/12 10:47:16 - mmengine - INFO - Epoch(train) [422][ 800/1252] lr: 2.0412e-04 eta: 21:10:07 time: 0.3565 data_time: 0.0048 loss: 1.8063 03/12 10:47:50 - mmengine - INFO - Epoch(train) [422][ 900/1252] lr: 2.0412e-04 eta: 21:09:33 time: 0.3446 data_time: 0.0051 loss: 1.8162 03/12 10:47:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:48:25 - mmengine - INFO - Epoch(train) [422][1000/1252] lr: 2.0412e-04 eta: 21:08:59 time: 0.2984 data_time: 0.0039 loss: 1.7947 03/12 10:48:59 - mmengine - INFO - Epoch(train) [422][1100/1252] lr: 2.0412e-04 eta: 21:08:24 time: 0.3776 data_time: 0.0760 loss: 1.8160 03/12 10:49:33 - mmengine - INFO - Epoch(train) [422][1200/1252] lr: 2.0412e-04 eta: 21:07:50 time: 0.3533 data_time: 0.0050 loss: 1.7308 03/12 10:49:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:49:50 - mmengine - INFO - Saving checkpoint at 422 epochs 03/12 10:50:15 - mmengine - INFO - Epoch(val) [422][49/49] accuracy/top1: 66.5440 accuracy/top5: 86.8860 03/12 10:50:52 - mmengine - INFO - Epoch(train) [423][ 100/1252] lr: 1.9860e-04 eta: 21:06:59 time: 0.3169 data_time: 0.0332 loss: 1.8304 03/12 10:51:26 - mmengine - INFO - Epoch(train) [423][ 200/1252] lr: 1.9860e-04 eta: 21:06:25 time: 0.3374 data_time: 0.0046 loss: 1.8219 03/12 10:52:00 - mmengine - INFO - Epoch(train) [423][ 300/1252] lr: 1.9860e-04 eta: 21:05:50 time: 0.3113 data_time: 0.0340 loss: 1.7473 03/12 10:52:33 - mmengine - INFO - Epoch(train) [423][ 400/1252] lr: 1.9860e-04 eta: 21:05:16 time: 0.3383 data_time: 0.1535 loss: 1.7483 03/12 10:53:08 - mmengine - INFO - Epoch(train) [423][ 500/1252] lr: 1.9860e-04 eta: 21:04:42 time: 0.2826 data_time: 0.0042 loss: 1.7337 03/12 10:53:43 - mmengine - INFO - Epoch(train) [423][ 600/1252] lr: 1.9860e-04 eta: 21:04:08 time: 0.3845 data_time: 0.0037 loss: 1.7871 03/12 10:54:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:54:17 - mmengine - INFO - Epoch(train) [423][ 700/1252] lr: 1.9860e-04 eta: 21:03:34 time: 0.3676 data_time: 0.0040 loss: 1.7847 03/12 10:54:51 - mmengine - INFO - Epoch(train) [423][ 800/1252] lr: 1.9860e-04 eta: 21:02:59 time: 0.3552 data_time: 0.0466 loss: 1.7862 03/12 10:55:25 - mmengine - INFO - Epoch(train) [423][ 900/1252] lr: 1.9860e-04 eta: 21:02:25 time: 0.4129 data_time: 0.1781 loss: 1.7952 03/12 10:55:58 - mmengine - INFO - Epoch(train) [423][1000/1252] lr: 1.9860e-04 eta: 21:01:51 time: 0.3214 data_time: 0.0043 loss: 1.9302 03/12 10:56:33 - mmengine - INFO - Epoch(train) [423][1100/1252] lr: 1.9860e-04 eta: 21:01:17 time: 0.3313 data_time: 0.0042 loss: 1.8211 03/12 10:57:07 - mmengine - INFO - Epoch(train) [423][1200/1252] lr: 1.9860e-04 eta: 21:00:42 time: 0.3593 data_time: 0.2353 loss: 1.7185 03/12 10:57:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 10:57:25 - mmengine - INFO - Saving checkpoint at 423 epochs 03/12 10:57:50 - mmengine - INFO - Epoch(val) [423][49/49] accuracy/top1: 66.4100 accuracy/top5: 86.8780 03/12 10:58:26 - mmengine - INFO - Epoch(train) [424][ 100/1252] lr: 1.9860e-04 eta: 20:59:51 time: 0.3268 data_time: 0.0048 loss: 1.6968 03/12 10:59:00 - mmengine - INFO - Epoch(train) [424][ 200/1252] lr: 1.9860e-04 eta: 20:59:17 time: 0.3423 data_time: 0.1474 loss: 1.7934 03/12 10:59:34 - mmengine - INFO - Epoch(train) [424][ 300/1252] lr: 1.9860e-04 eta: 20:58:43 time: 0.3173 data_time: 0.1007 loss: 1.6836 03/12 11:00:08 - mmengine - INFO - Epoch(train) [424][ 400/1252] lr: 1.9860e-04 eta: 20:58:08 time: 0.3215 data_time: 0.0040 loss: 1.8030 03/12 11:00:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:00:43 - mmengine - INFO - Epoch(train) [424][ 500/1252] lr: 1.9860e-04 eta: 20:57:35 time: 0.4186 data_time: 0.0905 loss: 1.8063 03/12 11:01:16 - mmengine - INFO - Epoch(train) [424][ 600/1252] lr: 1.9860e-04 eta: 20:57:00 time: 0.3151 data_time: 0.0046 loss: 1.7040 03/12 11:01:51 - mmengine - INFO - Epoch(train) [424][ 700/1252] lr: 1.9860e-04 eta: 20:56:26 time: 0.3346 data_time: 0.0613 loss: 1.7921 03/12 11:02:24 - mmengine - INFO - Epoch(train) [424][ 800/1252] lr: 1.9860e-04 eta: 20:55:51 time: 0.3353 data_time: 0.0223 loss: 1.8079 03/12 11:02:59 - mmengine - INFO - Epoch(train) [424][ 900/1252] lr: 1.9860e-04 eta: 20:55:17 time: 0.3585 data_time: 0.1706 loss: 1.7882 03/12 11:03:33 - mmengine - INFO - Epoch(train) [424][1000/1252] lr: 1.9860e-04 eta: 20:54:43 time: 0.3689 data_time: 0.0650 loss: 1.7385 03/12 11:04:07 - mmengine - INFO - Epoch(train) [424][1100/1252] lr: 1.9860e-04 eta: 20:54:09 time: 0.3698 data_time: 0.0613 loss: 1.8156 03/12 11:04:41 - mmengine - INFO - Epoch(train) [424][1200/1252] lr: 1.9860e-04 eta: 20:53:34 time: 0.3277 data_time: 0.0042 loss: 1.8120 03/12 11:04:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:04:58 - mmengine - INFO - Saving checkpoint at 424 epochs 03/12 11:05:23 - mmengine - INFO - Epoch(val) [424][49/49] accuracy/top1: 66.4980 accuracy/top5: 86.7940 03/12 11:06:00 - mmengine - INFO - Epoch(train) [425][ 100/1252] lr: 1.9324e-04 eta: 20:52:43 time: 0.3521 data_time: 0.0707 loss: 1.6999 03/12 11:06:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:06:34 - mmengine - INFO - Epoch(train) [425][ 200/1252] lr: 1.9324e-04 eta: 20:52:09 time: 0.3559 data_time: 0.0055 loss: 1.7926 03/12 11:07:08 - mmengine - INFO - Epoch(train) [425][ 300/1252] lr: 1.9324e-04 eta: 20:51:35 time: 0.3237 data_time: 0.0480 loss: 1.7330 03/12 11:07:42 - mmengine - INFO - Epoch(train) [425][ 400/1252] lr: 1.9324e-04 eta: 20:51:01 time: 0.2888 data_time: 0.1683 loss: 1.6926 03/12 11:08:16 - mmengine - INFO - Epoch(train) [425][ 500/1252] lr: 1.9324e-04 eta: 20:50:26 time: 0.3460 data_time: 0.0437 loss: 1.7416 03/12 11:08:50 - mmengine - INFO - Epoch(train) [425][ 600/1252] lr: 1.9324e-04 eta: 20:49:52 time: 0.3371 data_time: 0.0042 loss: 1.7891 03/12 11:09:25 - mmengine - INFO - Epoch(train) [425][ 700/1252] lr: 1.9324e-04 eta: 20:49:18 time: 0.3086 data_time: 0.0048 loss: 1.8286 03/12 11:09:58 - mmengine - INFO - Epoch(train) [425][ 800/1252] lr: 1.9324e-04 eta: 20:48:43 time: 0.3824 data_time: 0.0038 loss: 1.9278 03/12 11:10:33 - mmengine - INFO - Epoch(train) [425][ 900/1252] lr: 1.9324e-04 eta: 20:48:09 time: 0.3615 data_time: 0.0515 loss: 1.7565 03/12 11:11:07 - mmengine - INFO - Epoch(train) [425][1000/1252] lr: 1.9324e-04 eta: 20:47:35 time: 0.3221 data_time: 0.0039 loss: 1.8139 03/12 11:11:41 - mmengine - INFO - Epoch(train) [425][1100/1252] lr: 1.9324e-04 eta: 20:47:01 time: 0.2900 data_time: 0.0044 loss: 1.8006 03/12 11:11:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:12:14 - mmengine - INFO - Epoch(train) [425][1200/1252] lr: 1.9324e-04 eta: 20:46:26 time: 0.2909 data_time: 0.0396 loss: 1.7516 03/12 11:12:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:12:31 - mmengine - INFO - Saving checkpoint at 425 epochs 03/12 11:12:57 - mmengine - INFO - Epoch(val) [425][49/49] accuracy/top1: 66.5140 accuracy/top5: 86.8680 03/12 11:13:34 - mmengine - INFO - Epoch(train) [426][ 100/1252] lr: 1.9324e-04 eta: 20:45:35 time: 0.3468 data_time: 0.1596 loss: 1.8104 03/12 11:14:08 - mmengine - INFO - Epoch(train) [426][ 200/1252] lr: 1.9324e-04 eta: 20:45:01 time: 0.3142 data_time: 0.0467 loss: 1.8567 03/12 11:14:42 - mmengine - INFO - Epoch(train) [426][ 300/1252] lr: 1.9324e-04 eta: 20:44:27 time: 0.3232 data_time: 0.0046 loss: 1.8195 03/12 11:15:17 - mmengine - INFO - Epoch(train) [426][ 400/1252] lr: 1.9324e-04 eta: 20:43:53 time: 0.3603 data_time: 0.2279 loss: 1.7824 03/12 11:15:51 - mmengine - INFO - Epoch(train) [426][ 500/1252] lr: 1.9324e-04 eta: 20:43:19 time: 0.3344 data_time: 0.0446 loss: 1.7280 03/12 11:16:25 - mmengine - INFO - Epoch(train) [426][ 600/1252] lr: 1.9324e-04 eta: 20:42:44 time: 0.2819 data_time: 0.0631 loss: 1.7671 03/12 11:16:59 - mmengine - INFO - Epoch(train) [426][ 700/1252] lr: 1.9324e-04 eta: 20:42:10 time: 0.3159 data_time: 0.0048 loss: 1.6473 03/12 11:17:33 - mmengine - INFO - Epoch(train) [426][ 800/1252] lr: 1.9324e-04 eta: 20:41:36 time: 0.3215 data_time: 0.1776 loss: 1.7173 03/12 11:18:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:18:07 - mmengine - INFO - Epoch(train) [426][ 900/1252] lr: 1.9324e-04 eta: 20:41:02 time: 0.3102 data_time: 0.0049 loss: 1.7589 03/12 11:18:41 - mmengine - INFO - Epoch(train) [426][1000/1252] lr: 1.9324e-04 eta: 20:40:27 time: 0.3207 data_time: 0.0042 loss: 1.6616 03/12 11:19:16 - mmengine - INFO - Epoch(train) [426][1100/1252] lr: 1.9324e-04 eta: 20:39:53 time: 0.3159 data_time: 0.0052 loss: 1.7763 03/12 11:19:50 - mmengine - INFO - Epoch(train) [426][1200/1252] lr: 1.9324e-04 eta: 20:39:19 time: 0.3577 data_time: 0.1898 loss: 1.8200 03/12 11:20:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:20:07 - mmengine - INFO - Saving checkpoint at 426 epochs 03/12 11:20:31 - mmengine - INFO - Epoch(val) [426][49/49] accuracy/top1: 66.4960 accuracy/top5: 86.7960 03/12 11:21:09 - mmengine - INFO - Epoch(train) [427][ 100/1252] lr: 1.8802e-04 eta: 20:38:29 time: 0.4286 data_time: 0.0378 loss: 1.8124 03/12 11:21:42 - mmengine - INFO - Epoch(train) [427][ 200/1252] lr: 1.8802e-04 eta: 20:37:54 time: 0.3132 data_time: 0.0042 loss: 1.6803 03/12 11:22:16 - mmengine - INFO - Epoch(train) [427][ 300/1252] lr: 1.8802e-04 eta: 20:37:19 time: 0.2999 data_time: 0.0041 loss: 1.7768 03/12 11:22:50 - mmengine - INFO - Epoch(train) [427][ 400/1252] lr: 1.8802e-04 eta: 20:36:45 time: 0.3478 data_time: 0.0112 loss: 1.7886 03/12 11:23:24 - mmengine - INFO - Epoch(train) [427][ 500/1252] lr: 1.8802e-04 eta: 20:36:11 time: 0.3029 data_time: 0.0222 loss: 1.7448 03/12 11:23:59 - mmengine - INFO - Epoch(train) [427][ 600/1252] lr: 1.8802e-04 eta: 20:35:37 time: 0.3309 data_time: 0.0040 loss: 1.6612 03/12 11:24:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:24:33 - mmengine - INFO - Epoch(train) [427][ 700/1252] lr: 1.8802e-04 eta: 20:35:03 time: 0.3345 data_time: 0.0537 loss: 1.7488 03/12 11:25:07 - mmengine - INFO - Epoch(train) [427][ 800/1252] lr: 1.8802e-04 eta: 20:34:28 time: 0.3640 data_time: 0.0541 loss: 1.7727 03/12 11:25:41 - mmengine - INFO - Epoch(train) [427][ 900/1252] lr: 1.8802e-04 eta: 20:33:54 time: 0.3190 data_time: 0.0047 loss: 1.8051 03/12 11:26:14 - mmengine - INFO - Epoch(train) [427][1000/1252] lr: 1.8802e-04 eta: 20:33:20 time: 0.3647 data_time: 0.0906 loss: 1.7261 03/12 11:26:49 - mmengine - INFO - Epoch(train) [427][1100/1252] lr: 1.8802e-04 eta: 20:32:45 time: 0.4149 data_time: 0.0043 loss: 1.7833 03/12 11:27:23 - mmengine - INFO - Epoch(train) [427][1200/1252] lr: 1.8802e-04 eta: 20:32:11 time: 0.3547 data_time: 0.0051 loss: 1.8146 03/12 11:27:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:27:40 - mmengine - INFO - Saving checkpoint at 427 epochs 03/12 11:28:05 - mmengine - INFO - Epoch(val) [427][49/49] accuracy/top1: 66.3660 accuracy/top5: 86.7960 03/12 11:28:42 - mmengine - INFO - Epoch(train) [428][ 100/1252] lr: 1.8802e-04 eta: 20:31:20 time: 0.3452 data_time: 0.1286 loss: 1.8280 03/12 11:29:16 - mmengine - INFO - Epoch(train) [428][ 200/1252] lr: 1.8802e-04 eta: 20:30:46 time: 0.3376 data_time: 0.0047 loss: 1.8145 03/12 11:29:50 - mmengine - INFO - Epoch(train) [428][ 300/1252] lr: 1.8802e-04 eta: 20:30:12 time: 0.3171 data_time: 0.0046 loss: 1.8303 03/12 11:30:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:30:25 - mmengine - INFO - Epoch(train) [428][ 400/1252] lr: 1.8802e-04 eta: 20:29:38 time: 0.3826 data_time: 0.0048 loss: 1.7237 03/12 11:30:58 - mmengine - INFO - Epoch(train) [428][ 500/1252] lr: 1.8802e-04 eta: 20:29:03 time: 0.3258 data_time: 0.0144 loss: 1.7406 03/12 11:31:32 - mmengine - INFO - Epoch(train) [428][ 600/1252] lr: 1.8802e-04 eta: 20:28:29 time: 0.3365 data_time: 0.0047 loss: 1.7412 03/12 11:32:06 - mmengine - INFO - Epoch(train) [428][ 700/1252] lr: 1.8802e-04 eta: 20:27:55 time: 0.2863 data_time: 0.0042 loss: 1.7989 03/12 11:32:41 - mmengine - INFO - Epoch(train) [428][ 800/1252] lr: 1.8802e-04 eta: 20:27:20 time: 0.3583 data_time: 0.0047 loss: 1.8033 03/12 11:33:15 - mmengine - INFO - Epoch(train) [428][ 900/1252] lr: 1.8802e-04 eta: 20:26:46 time: 0.3601 data_time: 0.0043 loss: 1.8136 03/12 11:33:50 - mmengine - INFO - Epoch(train) [428][1000/1252] lr: 1.8802e-04 eta: 20:26:12 time: 0.3590 data_time: 0.0043 loss: 1.7661 03/12 11:34:23 - mmengine - INFO - Epoch(train) [428][1100/1252] lr: 1.8802e-04 eta: 20:25:38 time: 0.3894 data_time: 0.0087 loss: 1.7165 03/12 11:34:58 - mmengine - INFO - Epoch(train) [428][1200/1252] lr: 1.8802e-04 eta: 20:25:04 time: 0.3638 data_time: 0.0717 loss: 1.8139 03/12 11:35:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:35:15 - mmengine - INFO - Saving checkpoint at 428 epochs 03/12 11:35:40 - mmengine - INFO - Epoch(val) [428][49/49] accuracy/top1: 66.5680 accuracy/top5: 86.8680 03/12 11:36:17 - mmengine - INFO - Epoch(train) [429][ 100/1252] lr: 1.8295e-04 eta: 20:24:13 time: 0.3777 data_time: 0.0937 loss: 1.6588 03/12 11:36:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:36:51 - mmengine - INFO - Epoch(train) [429][ 200/1252] lr: 1.8295e-04 eta: 20:23:39 time: 0.4199 data_time: 0.0043 loss: 1.7200 03/12 11:37:25 - mmengine - INFO - Epoch(train) [429][ 300/1252] lr: 1.8295e-04 eta: 20:23:04 time: 0.3685 data_time: 0.0042 loss: 1.6962 03/12 11:37:59 - mmengine - INFO - Epoch(train) [429][ 400/1252] lr: 1.8295e-04 eta: 20:22:30 time: 0.3612 data_time: 0.0047 loss: 1.7791 03/12 11:38:33 - mmengine - INFO - Epoch(train) [429][ 500/1252] lr: 1.8295e-04 eta: 20:21:56 time: 0.3625 data_time: 0.1561 loss: 1.7922 03/12 11:39:07 - mmengine - INFO - Epoch(train) [429][ 600/1252] lr: 1.8295e-04 eta: 20:21:22 time: 0.2908 data_time: 0.0266 loss: 1.8068 03/12 11:39:41 - mmengine - INFO - Epoch(train) [429][ 700/1252] lr: 1.8295e-04 eta: 20:20:47 time: 0.3202 data_time: 0.0047 loss: 1.7880 03/12 11:40:15 - mmengine - INFO - Epoch(train) [429][ 800/1252] lr: 1.8295e-04 eta: 20:20:13 time: 0.3334 data_time: 0.1965 loss: 1.8162 03/12 11:40:50 - mmengine - INFO - Epoch(train) [429][ 900/1252] lr: 1.8295e-04 eta: 20:19:39 time: 0.2883 data_time: 0.0045 loss: 1.7549 03/12 11:41:24 - mmengine - INFO - Epoch(train) [429][1000/1252] lr: 1.8295e-04 eta: 20:19:05 time: 0.3300 data_time: 0.0043 loss: 1.8024 03/12 11:41:59 - mmengine - INFO - Epoch(train) [429][1100/1252] lr: 1.8295e-04 eta: 20:18:31 time: 0.3553 data_time: 0.0043 loss: 1.7603 03/12 11:42:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:42:33 - mmengine - INFO - Epoch(train) [429][1200/1252] lr: 1.8295e-04 eta: 20:17:56 time: 0.3850 data_time: 0.1771 loss: 1.7416 03/12 11:42:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:42:49 - mmengine - INFO - Saving checkpoint at 429 epochs 03/12 11:43:14 - mmengine - INFO - Epoch(val) [429][49/49] accuracy/top1: 66.3300 accuracy/top5: 86.7860 03/12 11:43:50 - mmengine - INFO - Epoch(train) [430][ 100/1252] lr: 1.8295e-04 eta: 20:17:05 time: 0.3373 data_time: 0.2166 loss: 1.8894 03/12 11:44:24 - mmengine - INFO - Epoch(train) [430][ 200/1252] lr: 1.8295e-04 eta: 20:16:31 time: 0.3067 data_time: 0.1531 loss: 1.6908 03/12 11:44:59 - mmengine - INFO - Epoch(train) [430][ 300/1252] lr: 1.8295e-04 eta: 20:15:57 time: 0.3393 data_time: 0.0045 loss: 1.6928 03/12 11:45:34 - mmengine - INFO - Epoch(train) [430][ 400/1252] lr: 1.8295e-04 eta: 20:15:23 time: 0.3804 data_time: 0.0045 loss: 1.7722 03/12 11:46:07 - mmengine - INFO - Epoch(train) [430][ 500/1252] lr: 1.8295e-04 eta: 20:14:48 time: 0.2947 data_time: 0.0984 loss: 1.6983 03/12 11:46:41 - mmengine - INFO - Epoch(train) [430][ 600/1252] lr: 1.8295e-04 eta: 20:14:14 time: 0.3191 data_time: 0.0070 loss: 1.7804 03/12 11:47:16 - mmengine - INFO - Epoch(train) [430][ 700/1252] lr: 1.8295e-04 eta: 20:13:40 time: 0.3751 data_time: 0.0041 loss: 1.7432 03/12 11:47:50 - mmengine - INFO - Epoch(train) [430][ 800/1252] lr: 1.8295e-04 eta: 20:13:06 time: 0.2919 data_time: 0.0043 loss: 1.7671 03/12 11:48:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:48:24 - mmengine - INFO - Epoch(train) [430][ 900/1252] lr: 1.8295e-04 eta: 20:12:31 time: 0.3468 data_time: 0.0041 loss: 1.7746 03/12 11:48:58 - mmengine - INFO - Epoch(train) [430][1000/1252] lr: 1.8295e-04 eta: 20:11:57 time: 0.3407 data_time: 0.1352 loss: 1.7764 03/12 11:49:32 - mmengine - INFO - Epoch(train) [430][1100/1252] lr: 1.8295e-04 eta: 20:11:23 time: 0.3267 data_time: 0.0167 loss: 1.7821 03/12 11:50:06 - mmengine - INFO - Epoch(train) [430][1200/1252] lr: 1.8295e-04 eta: 20:10:49 time: 0.3595 data_time: 0.0046 loss: 1.6869 03/12 11:50:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:50:24 - mmengine - INFO - Saving checkpoint at 430 epochs 03/12 11:50:49 - mmengine - INFO - Epoch(val) [430][49/49] accuracy/top1: 66.6940 accuracy/top5: 86.9200 03/12 11:51:26 - mmengine - INFO - Epoch(train) [431][ 100/1252] lr: 1.7801e-04 eta: 20:09:58 time: 0.3674 data_time: 0.0238 loss: 1.8204 03/12 11:52:00 - mmengine - INFO - Epoch(train) [431][ 200/1252] lr: 1.7801e-04 eta: 20:09:23 time: 0.3866 data_time: 0.0043 loss: 1.7443 03/12 11:52:34 - mmengine - INFO - Epoch(train) [431][ 300/1252] lr: 1.7801e-04 eta: 20:08:49 time: 0.3201 data_time: 0.0592 loss: 1.8054 03/12 11:53:08 - mmengine - INFO - Epoch(train) [431][ 400/1252] lr: 1.7801e-04 eta: 20:08:15 time: 0.3338 data_time: 0.0057 loss: 1.7861 03/12 11:53:42 - mmengine - INFO - Epoch(train) [431][ 500/1252] lr: 1.7801e-04 eta: 20:07:40 time: 0.3255 data_time: 0.0040 loss: 1.6746 03/12 11:54:16 - mmengine - INFO - Epoch(train) [431][ 600/1252] lr: 1.7801e-04 eta: 20:07:06 time: 0.3134 data_time: 0.0040 loss: 1.8249 03/12 11:54:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:54:50 - mmengine - INFO - Epoch(train) [431][ 700/1252] lr: 1.7801e-04 eta: 20:06:32 time: 0.3163 data_time: 0.0046 loss: 1.7644 03/12 11:55:24 - mmengine - INFO - Epoch(train) [431][ 800/1252] lr: 1.7801e-04 eta: 20:05:58 time: 0.3319 data_time: 0.0045 loss: 1.7600 03/12 11:55:58 - mmengine - INFO - Epoch(train) [431][ 900/1252] lr: 1.7801e-04 eta: 20:05:23 time: 0.3510 data_time: 0.0043 loss: 1.6645 03/12 11:56:33 - mmengine - INFO - Epoch(train) [431][1000/1252] lr: 1.7801e-04 eta: 20:04:50 time: 0.3985 data_time: 0.0041 loss: 1.8588 03/12 11:57:06 - mmengine - INFO - Epoch(train) [431][1100/1252] lr: 1.7801e-04 eta: 20:04:15 time: 0.3256 data_time: 0.0050 loss: 1.7363 03/12 11:57:40 - mmengine - INFO - Epoch(train) [431][1200/1252] lr: 1.7801e-04 eta: 20:03:41 time: 0.3859 data_time: 0.1790 loss: 1.7533 03/12 11:57:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230310_141732 03/12 11:57:58 - mmengine - INFO - Saving checkpoint at 431 epochs 03/12 11:58:23 - mmengine - INFO - Epoch(val) [431][49/49] accuracy/top1: 66.1520 accuracy/top5: 86.7460 03/12 11:58:59 - mmengine - INFO - Epoch(train) [432][ 100/1252] lr: 1.7801e-04 eta: 20:02:50 time: 0.3102 data_time: 0.0052 loss: 1.7885 /root/anaconda3/bin/python: Error while finding module specification for 'torch.distributed.launch' (ModuleNotFoundError: No module named 'torch') [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 340, in main() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 326, in main sigkill_handler(signal.SIGTERM, None) # not coming back File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 301, in sigkill_handler raise subprocess.CalledProcessError(returncode=last_return_code, cmd=cmd) subprocess.CalledProcessError: Command '['/root/anaconda3/envs/mmcv_2.x/bin/python', '-u', './tools/train.py', '--local_rank=7', 'configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py', '--launcher', 'pytorch', '--resume=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth']' died with . ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** Killing subprocess 595 Killing subprocess 596 Killing subprocess 597 Killing subprocess 598 Killing subprocess 599 Killing subprocess 600 Killing subprocess 601 Killing subprocess 602 Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 340, in main() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 326, in main sigkill_handler(signal.SIGTERM, None) # not coming back File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 301, in sigkill_handler raise subprocess.CalledProcessError(returncode=last_return_code, cmd=cmd) subprocess.CalledProcessError: Command '['/root/anaconda3/envs/mmcv_2.x/bin/python', '-u', './tools/train.py', '--local_rank=7', 'configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py', '--launcher', 'pytorch', '--resume=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth']' died with . ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** Killing subprocess 2174 Killing subprocess 2175 Killing subprocess 2176 Killing subprocess 2177 Killing subprocess 2178 Killing subprocess 2179 Killing subprocess 2180 Killing subprocess 2181 Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError Process ForkServerProcess-2: Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 61, in wrapper raise exp File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 58, in wrapper func(*args, **kwargs) File "/usr/local/Ascend/ascend-toolkit/latest/python/site-packages/tbe/common/repository_manager/route.py", line 268, in task_distribute key, func_name, detail = resource_proxy[TASK_QUEUE].get() File "", line 2, in get File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/managers.py", line 835, in _callmethod kind, result = conn.recv() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/connection.py", line 383, in _recv raise EOFError EOFError /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/envs/mmcv_2.x/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 91 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /root/anaconda3/bin/python: Error while finding module specification for 'torch.distributed.launch' (ModuleNotFoundError: No module named 'torch') [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) 03/12 14:50:40 - 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: 1661711958 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.8.0a0+56b43f4 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - Build settings: BLAS_INFO=generic, BUILD_TYPE=Release, CXX_COMPILER=/opt/buildtools/gcc-7.3.0/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=generic, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_EIGEN_FOR_BLAS=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=OFF, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, OpenCV: 4.7.0 MMEngine: 0.6.0 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 ------------------------------------------------------------ 03/12 14:50:40 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict(type='MobileNetV3', arch='small'), neck=dict(type='GlobalAveragePooling'), head=dict( type='StackedLinearClsHead', num_classes=1000, in_channels=576, mid_channels=[1024], dropout_rate=0.2, act_cfg=dict(type='HSwish'), loss=dict(type='CrossEntropyLoss', loss_weight=1.0), init_cfg=dict( type='Normal', layer='Linear', mean=0.0, std=0.01, bias=0.0), 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) bgr_mean = [103.53, 116.28, 123.675] bgr_std = [57.375, 57.12, 58.395] train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, 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=128, num_workers=5, 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)) 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 = 'work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth' resume = True randomness = dict(seed=None, deterministic=False) optim_wrapper = dict( optimizer=dict( type='RMSprop', lr=0.064, alpha=0.9, momentum=0.9, eps=0.0316, weight_decay=1e-05)) param_scheduler = dict(type='StepLR', by_epoch=True, step_size=2, gamma=0.973) train_cfg = dict(by_epoch=True, max_epochs=600, val_interval=1) val_cfg = dict() test_cfg = dict() auto_scale_lr = dict(base_batch_size=1024) launcher = 'pytorch' work_dir = './work_dirs/mobilenet-v3-small_8xb128_in1k' 03/12 14:50:40 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:50:40 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:50:41 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:51:34 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:51:34 - 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 -------------------- Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg obj = obj_cls(**args) # type: ignore File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ obj = obj_cls(**args) # type: ignore File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ self.full_init() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init self.full_init() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init super().full_init()super().full_init() File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init self.data_list = self.load_data_list()self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list lines = list_from_file(self.ann_file)lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file text = get_text(filename, encoding, backend_args=backend_args)text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg return backend.get_text(filepath, encoding)return backend.get_text(filepath, encoding) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text with open(filepath, encoding=encoding) as f:with open(filepath, encoding=encoding) as f: FileNotFoundErrorFileNotFoundErrorobj = obj_cls(**args) # type: ignore: : [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt'[Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ obj = obj_cls(**args) # type: ignore During handling of the above exception, another exception occurred: During handling of the above exception, another exception occurred: Traceback (most recent call last): Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ File "./tools/train.py", line 162, in File "./tools/train.py", line 162, in super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ main() main() File "./tools/train.py", line 158, in main File "./tools/train.py", line 158, in main self.full_init() runner.train() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init Traceback (most recent call last): self.full_init()runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train super().full_init() File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init super().full_init() File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list obj = obj_cls(**args) # type: ignore lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ self._train_loop = self.build_train_loop(self._train_loop = self.build_train_loop(text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text return backend.get_text(filepath, encoding) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text self.full_init() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init with open(filepath, encoding=encoding) as f: FileNotFoundError: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' return backend.get_text(filepath, encoding) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text File "./tools/train.py", line 162, in super().full_init() with open(filepath, encoding=encoding) as f: File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init main() FileNotFoundError File "./tools/train.py", line 158, in main : [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "./tools/train.py", line 162, in runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train main()loop = EpochBasedTrainLoop(loop = EpochBasedTrainLoop( File "./tools/train.py", line 158, in main self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list runner.train() super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ self.dataloader = runner.build_dataloader( self.dataloader = runner.build_dataloader( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file self._train_loop = self.build_train_loop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text return backend.get_text(filepath, encoding) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text self._train_loop = self.build_train_loop(dataset = DATASETS.build(dataset_cfg) with open(filepath, encoding=encoding) as f: File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build loop = EpochBasedTrainLoop(FileNotFoundError : File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "./tools/train.py", line 162, in super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ self.dataloader = runner.build_dataloader( return self.build_func(cfg, *args, **kwargs, registry=self) main() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg File "./tools/train.py", line 158, in main File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundError : raise type(e)(runner.train()class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' FileNotFoundError File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train : loop = EpochBasedTrainLoop(class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build self.dataloader = runner.build_dataloader( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundError: class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' self._train_loop = self.build_train_loop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundError: class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' loop = EpochBasedTrainLoop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ self.dataloader = runner.build_dataloader( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundError: class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg obj = obj_cls(**args) # type: ignore File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ obj = obj_cls(**args) # type: ignore File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ self.full_init() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init super().full_init()self.full_init() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init super().full_init() File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text return backend.get_text(filepath, encoding) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text with open(filepath, encoding=encoding) as f: return backend.get_text(filepath, encoding) FileNotFoundError File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text : [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "./tools/train.py", line 162, in with open(filepath, encoding=encoding) as f: FileNotFoundError: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt'main() During handling of the above exception, another exception occurred: File "./tools/train.py", line 158, in main Traceback (most recent call last): File "./tools/train.py", line 162, in runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train self._train_loop = self.build_train_loop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop self._train_loop = self.build_train_loop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop loop = EpochBasedTrainLoop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ loop = EpochBasedTrainLoop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ self.dataloader = runner.build_dataloader( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ self.dataloader = runner.build_dataloader( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundErrorreturn self.build_func(cfg, *args, **kwargs, registry=self): class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundError: class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' 03/12 14:51:34 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:51:34 - mmengine - WARNING - The "transform" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. Traceback (most recent call last): File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 121, in build_from_cfg obj = obj_cls(**args) # type: ignore File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/imagenet.py", line 39, in __init__ super().__init__( File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 183, in __init__ self.full_init() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/base_dataset.py", line 169, in full_init super().full_init() File "/home/lml/mmcv_2.x/mmengine/mmengine/dataset/base_dataset.py", line 298, in full_init self.data_list = self.load_data_list() File "/home/lml/mmcv_2.x/mmclassification/mmcls/datasets/custom.py", line 223, in load_data_list lines = list_from_file(self.ann_file) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/parse.py", line 60, in list_from_file text = get_text(filename, encoding, backend_args=backend_args) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/io.py", line 208, in get_text return backend.get_text(filepath, encoding) File "/home/lml/mmcv_2.x/mmengine/mmengine/fileio/backends/local_backend.py", line 56, in get_text with open(filepath, encoding=encoding) as f: FileNotFoundError: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "./tools/train.py", line 162, in main() File "./tools/train.py", line 158, in main runner.train() File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1656, in train self._train_loop = self.build_train_loop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1455, in build_train_loop loop = EpochBasedTrainLoop( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/loops.py", line 43, in __init__ super().__init__(runner, dataloader) File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/base_loop.py", line 26, in __init__ self.dataloader = runner.build_dataloader( File "/home/lml/mmcv_2.x/mmengine/mmengine/runner/runner.py", line 1333, in build_dataloader dataset = DATASETS.build(dataset_cfg) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/registry.py", line 548, in build return self.build_func(cfg, *args, **kwargs, registry=self) File "/home/lml/mmcv_2.x/mmengine/mmengine/registry/build_functions.py", line 135, in build_from_cfg raise type(e)( FileNotFoundError: class `ImageNet` in mmcls/datasets/imagenet.py: [Errno 2] No such file or directory: 'data/imagenet/meta/train.txt' THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. THPModule_npu_shutdown success. Traceback (most recent call last): File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 340, in main() File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 326, in main sigkill_handler(signal.SIGTERM, None) # not coming back File "/root/anaconda3/envs/mmcv_2.x/lib/python3.8/site-packages/torch/distributed/launch.py", line 301, in sigkill_handler raise subprocess.CalledProcessError(returncode=last_return_code, cmd=cmd) subprocess.CalledProcessError: Command '['/root/anaconda3/envs/mmcv_2.x/bin/python', '-u', './tools/train.py', '--local_rank=7', 'configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py', '--launcher', 'pytorch', '--resume=work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth']' returned non-zero exit status 1. ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** Killing subprocess 40047 Killing subprocess 40048 Killing subprocess 40049 Killing subprocess 40050 Killing subprocess 40051 Killing subprocess 40052 Killing subprocess 40053 Killing subprocess 40054 [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) [W OperatorEntry.cpp:121] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at /usr1/pytorch/build/aten/src/ATen/RegisterSchema.cpp:20 dispatch key: Math previous kernel: registered at /usr1/pytorch/build/aten/src/ATen/RegisterMath.cpp:5686 new kernel: registered at /usr1/workspace/FPTA_Daily_Plugin_open_python38/Plugin/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) 03/12 14:53:20 - 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: 697411362 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.8.0a0+56b43f4 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - Build settings: BLAS_INFO=generic, BUILD_TYPE=Release, CXX_COMPILER=/opt/buildtools/gcc-7.3.0/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=generic, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_EIGEN_FOR_BLAS=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=OFF, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, OpenCV: 4.7.0 MMEngine: 0.6.0 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 ------------------------------------------------------------ 03/12 14:53:20 - mmengine - INFO - Config: model = dict( type='ImageClassifier', backbone=dict(type='MobileNetV3', arch='small'), neck=dict(type='GlobalAveragePooling'), head=dict( type='StackedLinearClsHead', num_classes=1000, in_channels=576, mid_channels=[1024], dropout_rate=0.2, act_cfg=dict(type='HSwish'), loss=dict(type='CrossEntropyLoss', loss_weight=1.0), init_cfg=dict( type='Normal', layer='Linear', mean=0.0, std=0.01, bias=0.0), 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) bgr_mean = [103.53, 116.28, 123.675] bgr_std = [57.375, 57.12, 58.395] train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, dataset=dict( type='ImageNet', data_root='data/imagenet', ann_file='meta/train.txt', data_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='RandomResizedCrop', scale=224, backend='pillow'), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='AutoAugment', policies='imagenet', hparams=dict(pad_val=[104, 116, 124])), dict( type='RandomErasing', erase_prob=0.2, mode='rand', min_area_ratio=0.02, max_area_ratio=0.3333333333333333, fill_color=[103.53, 116.28, 123.675], fill_std=[57.375, 57.12, 58.395]), 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=128, num_workers=5, 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=128, num_workers=5, 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)) 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 = 'work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth' resume = True randomness = dict(seed=None, deterministic=False) optim_wrapper = dict( optimizer=dict( type='RMSprop', lr=0.064, alpha=0.9, momentum=0.9, eps=0.0316, weight_decay=1e-05)) param_scheduler = dict(type='StepLR', by_epoch=True, step_size=2, gamma=0.973) train_cfg = dict(by_epoch=True, max_epochs=600, val_interval=1) val_cfg = dict() test_cfg = dict() auto_scale_lr = dict(base_batch_size=1024) launcher = 'pytorch' work_dir = './work_dirs/mobilenet-v3-small_8xb128_in1k' 03/12 14:53:20 - mmengine - WARNING - The "visualizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:20 - mmengine - WARNING - The "vis_backend" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:21 - mmengine - WARNING - The "model" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:24 - mmengine - WARNING - The "hook" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:24 - 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 -------------------- 03/12 14:53:24 - mmengine - WARNING - The "dataset" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:24 - 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 03/12 14:53:32 - mmengine - WARNING - The "data sampler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:32 - mmengine - WARNING - The "optimizer wrapper constructor" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:32 - mmengine - WARNING - The "optimizer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:32 - 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 03/12 14:53:32 - mmengine - WARNING - The "parameter scheduler" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. 03/12 14:53:33 - 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 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 03/12 14:53:49 - mmengine - WARNING - The "weight initializer" registry in mmcls did not set import location. Fallback to call `mmcls.utils.register_all_modules` instead. Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth Loads checkpoint by local backend from path: work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth 03/12 14:54:21 - mmengine - INFO - Load checkpoint from work_dirs/mobilenet-v3-small_8xb128_in1k/epoch_418.pth 03/12 14:54:21 - mmengine - INFO - resumed epoch: 418, iter: 523336 03/12 14:54:21 - mmengine - INFO - Checkpoints will be saved to /home/lml/mmcv_2.x/mmclassification/work_dirs/mobilenet-v3-small_8xb128_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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], 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, 1024], strides() = [1024, 1] bucket_view.sizes() = [1024000], strides() = [1] (function operator()) 03/12 15:01:03 - mmengine - INFO - Epoch(train) [419][ 100/1252] lr: 2.0978e-04 eta: 10 days, 14:10:15 time: 0.3167 data_time: 0.0069 loss: 1.8972 03/12 15:01:38 - mmengine - INFO - Epoch(train) [419][ 200/1252] lr: 2.0978e-04 eta: 5 days, 17:57:26 time: 0.3393 data_time: 0.1909 loss: 1.7139 03/12 15:02:13 - mmengine - INFO - Epoch(train) [419][ 300/1252] lr: 2.0978e-04 eta: 4 days, 3:07:21 time: 0.3157 data_time: 0.0084 loss: 1.7767 03/12 15:02:47 - mmengine - INFO - Epoch(train) [419][ 400/1252] lr: 2.0978e-04 eta: 3 days, 7:39:38 time: 0.3550 data_time: 0.0074 loss: 1.7215 03/12 15:03:21 - mmengine - INFO - Epoch(train) [419][ 500/1252] lr: 2.0978e-04 eta: 2 days, 19:53:14 time: 0.2757 data_time: 0.0092 loss: 1.7576 03/12 15:03:56 - mmengine - INFO - Epoch(train) [419][ 600/1252] lr: 2.0978e-04 eta: 2 days, 12:11:29 time: 0.3236 data_time: 0.0092 loss: 1.8181 03/12 15:04:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:04:30 - mmengine - INFO - Epoch(train) [419][ 700/1252] lr: 2.0978e-04 eta: 2 days, 6:34:44 time: 0.3828 data_time: 0.0067 loss: 1.7867 03/12 15:05:04 - mmengine - INFO - Epoch(train) [419][ 800/1252] lr: 2.0978e-04 eta: 2 days, 2:22:15 time: 0.3121 data_time: 0.0450 loss: 1.7785 03/12 15:05:37 - mmengine - INFO - Epoch(train) [419][ 900/1252] lr: 2.0978e-04 eta: 1 day, 23:05:33 time: 0.3735 data_time: 0.0071 loss: 1.7566 03/12 15:06:11 - mmengine - INFO - Epoch(train) [419][1000/1252] lr: 2.0978e-04 eta: 1 day, 20:27:28 time: 0.3691 data_time: 0.0054 loss: 1.7067 03/12 15:06:45 - mmengine - INFO - Epoch(train) [419][1100/1252] lr: 2.0978e-04 eta: 1 day, 18:17:50 time: 0.3834 data_time: 0.0057 loss: 1.6641 03/12 15:07:18 - mmengine - INFO - Epoch(train) [419][1200/1252] lr: 2.0978e-04 eta: 1 day, 16:30:48 time: 0.4009 data_time: 0.0199 loss: 1.6993 03/12 15:10:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:10:09 - mmengine - INFO - Saving checkpoint at 419 epochs 03/12 15:12:15 - mmengine - INFO - Epoch(val) [419][49/49] accuracy/top1: 66.4620 accuracy/top5: 86.8640 03/12 15:12:49 - mmengine - INFO - Epoch(train) [420][ 100/1252] lr: 2.0978e-04 eta: 1 day, 21:28:43 time: 0.2835 data_time: 0.0062 loss: 1.9513 03/12 15:13:23 - mmengine - INFO - Epoch(train) [420][ 200/1252] lr: 2.0978e-04 eta: 1 day, 19:47:05 time: 0.3066 data_time: 0.0050 loss: 1.7277 03/12 15:13:55 - mmengine - INFO - Epoch(train) [420][ 300/1252] lr: 2.0978e-04 eta: 1 day, 18:13:38 time: 0.3262 data_time: 0.0043 loss: 1.7731 03/12 15:14:28 - mmengine - INFO - Epoch(train) [420][ 400/1252] lr: 2.0978e-04 eta: 1 day, 16:52:48 time: 0.3215 data_time: 0.0061 loss: 1.7873 03/12 15:14:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:15:01 - mmengine - INFO - Epoch(train) [420][ 500/1252] lr: 2.0978e-04 eta: 1 day, 15:41:23 time: 0.3099 data_time: 0.0059 loss: 1.8150 03/12 15:15:34 - mmengine - INFO - Epoch(train) [420][ 600/1252] lr: 2.0978e-04 eta: 1 day, 14:38:42 time: 0.3091 data_time: 0.0058 loss: 1.8618 03/12 15:16:07 - mmengine - INFO - Epoch(train) [420][ 700/1252] lr: 2.0978e-04 eta: 1 day, 13:42:28 time: 0.3252 data_time: 0.0055 loss: 1.7414 03/12 15:16:39 - mmengine - INFO - Epoch(train) [420][ 800/1252] lr: 2.0978e-04 eta: 1 day, 12:49:49 time: 0.3098 data_time: 0.0052 loss: 1.7354 03/12 15:17:12 - mmengine - INFO - Epoch(train) [420][ 900/1252] lr: 2.0978e-04 eta: 1 day, 12:02:50 time: 0.3265 data_time: 0.0060 loss: 1.7735 03/12 15:17:45 - mmengine - INFO - Epoch(train) [420][1000/1252] lr: 2.0978e-04 eta: 1 day, 11:20:23 time: 0.3394 data_time: 0.0053 loss: 1.6112 03/12 15:18:17 - mmengine - INFO - Epoch(train) [420][1100/1252] lr: 2.0978e-04 eta: 1 day, 10:39:44 time: 0.3173 data_time: 0.0056 loss: 1.9568 03/12 15:18:49 - mmengine - INFO - Epoch(train) [420][1200/1252] lr: 2.0978e-04 eta: 1 day, 10:02:37 time: 0.2952 data_time: 0.0055 loss: 1.7534 03/12 15:19:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:19:06 - mmengine - INFO - Saving checkpoint at 420 epochs 03/12 15:19:30 - mmengine - INFO - Epoch(val) [420][49/49] accuracy/top1: 66.6100 accuracy/top5: 86.8760 03/12 15:20:05 - mmengine - INFO - Epoch(train) [421][ 100/1252] lr: 2.0412e-04 eta: 1 day, 9:16:01 time: 0.3471 data_time: 0.0048 loss: 1.7673 03/12 15:20:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:20:37 - mmengine - INFO - Epoch(train) [421][ 200/1252] lr: 2.0412e-04 eta: 1 day, 8:45:34 time: 0.2985 data_time: 0.0056 loss: 1.8276 03/12 15:21:10 - mmengine - INFO - Epoch(train) [421][ 300/1252] lr: 2.0412e-04 eta: 1 day, 8:18:07 time: 0.3189 data_time: 0.0056 loss: 1.8111 03/12 15:21:42 - mmengine - INFO - Epoch(train) [421][ 400/1252] lr: 2.0412e-04 eta: 1 day, 7:52:19 time: 0.2852 data_time: 0.0336 loss: 1.7822 03/12 15:22:15 - mmengine - INFO - Epoch(train) [421][ 500/1252] lr: 2.0412e-04 eta: 1 day, 7:27:40 time: 0.2958 data_time: 0.0050 loss: 1.7807 03/12 15:22:47 - mmengine - INFO - Epoch(train) [421][ 600/1252] lr: 2.0412e-04 eta: 1 day, 7:05:11 time: 0.3240 data_time: 0.0060 loss: 1.7687 03/12 15:23:20 - mmengine - INFO - Epoch(train) [421][ 700/1252] lr: 2.0412e-04 eta: 1 day, 6:43:28 time: 0.2817 data_time: 0.0709 loss: 1.8681 03/12 15:23:52 - mmengine - INFO - Epoch(train) [421][ 800/1252] lr: 2.0412e-04 eta: 1 day, 6:23:11 time: 0.2967 data_time: 0.0055 loss: 1.7857 03/12 15:24:24 - mmengine - INFO - Epoch(train) [421][ 900/1252] lr: 2.0412e-04 eta: 1 day, 6:03:52 time: 0.3131 data_time: 0.0061 loss: 1.6757 03/12 15:24:57 - mmengine - INFO - Epoch(train) [421][1000/1252] lr: 2.0412e-04 eta: 1 day, 5:46:07 time: 0.3588 data_time: 0.0051 loss: 1.9211 03/12 15:25:30 - mmengine - INFO - Epoch(train) [421][1100/1252] lr: 2.0412e-04 eta: 1 day, 5:29:42 time: 0.3311 data_time: 0.0048 loss: 1.9135 03/12 15:25:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:26:01 - mmengine - INFO - Epoch(train) [421][1200/1252] lr: 2.0412e-04 eta: 1 day, 5:12:41 time: 0.3100 data_time: 0.0052 loss: 1.7868 03/12 15:26:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:26:17 - mmengine - INFO - Saving checkpoint at 421 epochs 03/12 15:26:42 - mmengine - INFO - Epoch(val) [421][49/49] accuracy/top1: 66.5220 accuracy/top5: 86.8720 03/12 15:27:17 - mmengine - INFO - Epoch(train) [422][ 100/1252] lr: 2.0412e-04 eta: 1 day, 4:51:49 time: 0.3882 data_time: 0.0047 loss: 1.7917 03/12 15:27:49 - mmengine - INFO - Epoch(train) [422][ 200/1252] lr: 2.0412e-04 eta: 1 day, 4:37:15 time: 0.3308 data_time: 0.0048 loss: 1.7101 03/12 15:28:22 - mmengine - INFO - Epoch(train) [422][ 300/1252] lr: 2.0412e-04 eta: 1 day, 4:24:01 time: 0.3695 data_time: 0.0049 loss: 1.8396 03/12 15:28:54 - mmengine - INFO - Epoch(train) [422][ 400/1252] lr: 2.0412e-04 eta: 1 day, 4:10:47 time: 0.3192 data_time: 0.0099 loss: 1.8309 03/12 15:29:26 - mmengine - INFO - Epoch(train) [422][ 500/1252] lr: 2.0412e-04 eta: 1 day, 3:58:14 time: 0.3222 data_time: 0.0056 loss: 1.7806 03/12 15:29:59 - mmengine - INFO - Epoch(train) [422][ 600/1252] lr: 2.0412e-04 eta: 1 day, 3:46:43 time: 0.3312 data_time: 0.0043 loss: 1.5955 03/12 15:30:32 - mmengine - INFO - Epoch(train) [422][ 700/1252] lr: 2.0412e-04 eta: 1 day, 3:35:52 time: 0.3680 data_time: 0.0047 loss: 1.9705 03/12 15:31:04 - mmengine - INFO - Epoch(train) [422][ 800/1252] lr: 2.0412e-04 eta: 1 day, 3:24:39 time: 0.2775 data_time: 0.0049 loss: 1.7402 03/12 15:31:37 - mmengine - INFO - Epoch(train) [422][ 900/1252] lr: 2.0412e-04 eta: 1 day, 3:14:49 time: 0.3217 data_time: 0.0056 loss: 1.7905 03/12 15:31:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:32:09 - mmengine - INFO - Epoch(train) [422][1000/1252] lr: 2.0412e-04 eta: 1 day, 3:04:45 time: 0.2938 data_time: 0.0063 loss: 1.7252 03/12 15:32:42 - mmengine - INFO - Epoch(train) [422][1100/1252] lr: 2.0412e-04 eta: 1 day, 2:55:33 time: 0.3439 data_time: 0.0051 loss: 1.8422 03/12 15:33:14 - mmengine - INFO - Epoch(train) [422][1200/1252] lr: 2.0412e-04 eta: 1 day, 2:45:55 time: 0.3083 data_time: 0.0058 loss: 1.7933 03/12 15:33:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:33:31 - mmengine - INFO - Saving checkpoint at 422 epochs 03/12 15:33:56 - mmengine - INFO - Epoch(val) [422][49/49] accuracy/top1: 66.3620 accuracy/top5: 86.8400 03/12 15:34:30 - mmengine - INFO - Epoch(train) [423][ 100/1252] lr: 1.9860e-04 eta: 1 day, 2:33:38 time: 0.3482 data_time: 0.0050 loss: 1.6464 03/12 15:35:03 - mmengine - INFO - Epoch(train) [423][ 200/1252] lr: 1.9860e-04 eta: 1 day, 2:25:12 time: 0.2666 data_time: 0.0049 loss: 1.8407 03/12 15:35:35 - mmengine - INFO - Epoch(train) [423][ 300/1252] lr: 1.9860e-04 eta: 1 day, 2:17:08 time: 0.2585 data_time: 0.0050 loss: 1.7388 03/12 15:36:07 - mmengine - INFO - Epoch(train) [423][ 400/1252] lr: 1.9860e-04 eta: 1 day, 2:09:00 time: 0.2770 data_time: 0.0125 loss: 1.8776 03/12 15:36:40 - mmengine - INFO - Epoch(train) [423][ 500/1252] lr: 1.9860e-04 eta: 1 day, 2:01:49 time: 0.3158 data_time: 0.0070 loss: 1.8202 03/12 15:37:13 - mmengine - INFO - Epoch(train) [423][ 600/1252] lr: 1.9860e-04 eta: 1 day, 1:54:42 time: 0.3243 data_time: 0.0043 loss: 1.7810 03/12 15:37:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:37:45 - mmengine - INFO - Epoch(train) [423][ 700/1252] lr: 1.9860e-04 eta: 1 day, 1:47:41 time: 0.2758 data_time: 0.0048 loss: 1.8111 03/12 15:38:18 - mmengine - INFO - Epoch(train) [423][ 800/1252] lr: 1.9860e-04 eta: 1 day, 1:40:49 time: 0.3107 data_time: 0.0048 loss: 1.8288 03/12 15:38:51 - mmengine - INFO - Epoch(train) [423][ 900/1252] lr: 1.9860e-04 eta: 1 day, 1:34:26 time: 0.2807 data_time: 0.0045 loss: 1.7696 03/12 15:39:22 - mmengine - INFO - Epoch(train) [423][1000/1252] lr: 1.9860e-04 eta: 1 day, 1:27:37 time: 0.3352 data_time: 0.0054 loss: 1.8277 03/12 15:39:56 - mmengine - INFO - Epoch(train) [423][1100/1252] lr: 1.9860e-04 eta: 1 day, 1:21:48 time: 0.3042 data_time: 0.0046 loss: 1.7507 03/12 15:40:27 - mmengine - INFO - Epoch(train) [423][1200/1252] lr: 1.9860e-04 eta: 1 day, 1:15:24 time: 0.3386 data_time: 0.0050 loss: 1.8586 03/12 15:40:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:40:44 - mmengine - INFO - Saving checkpoint at 423 epochs 03/12 15:41:10 - mmengine - INFO - Epoch(val) [423][49/49] accuracy/top1: 66.2480 accuracy/top5: 86.6520 03/12 15:41:45 - mmengine - INFO - Epoch(train) [424][ 100/1252] lr: 1.9860e-04 eta: 1 day, 1:07:50 time: 0.3568 data_time: 0.0328 loss: 1.7575 03/12 15:42:17 - mmengine - INFO - Epoch(train) [424][ 200/1252] lr: 1.9860e-04 eta: 1 day, 1:02:07 time: 0.3230 data_time: 0.0052 loss: 1.7723 03/12 15:42:50 - mmengine - INFO - Epoch(train) [424][ 300/1252] lr: 1.9860e-04 eta: 1 day, 0:56:39 time: 0.3494 data_time: 0.0050 loss: 1.8284 03/12 15:43:23 - mmengine - INFO - Epoch(train) [424][ 400/1252] lr: 1.9860e-04 eta: 1 day, 0:51:22 time: 0.3579 data_time: 0.0054 loss: 1.6925 03/12 15:43:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:43:55 - mmengine - INFO - Epoch(train) [424][ 500/1252] lr: 1.9860e-04 eta: 1 day, 0:46:11 time: 0.3632 data_time: 0.0053 loss: 1.9365 03/12 15:44:27 - mmengine - INFO - Epoch(train) [424][ 600/1252] lr: 1.9860e-04 eta: 1 day, 0:40:45 time: 0.3204 data_time: 0.0247 loss: 1.8702 03/12 15:45:00 - mmengine - INFO - Epoch(train) [424][ 700/1252] lr: 1.9860e-04 eta: 1 day, 0:36:04 time: 0.3411 data_time: 0.0052 loss: 1.7965 03/12 15:45:32 - mmengine - INFO - Epoch(train) [424][ 800/1252] lr: 1.9860e-04 eta: 1 day, 0:31:20 time: 0.3691 data_time: 0.0053 loss: 1.8114 03/12 15:46:05 - mmengine - INFO - Epoch(train) [424][ 900/1252] lr: 1.9860e-04 eta: 1 day, 0:26:47 time: 0.3306 data_time: 0.0054 loss: 1.7157 03/12 15:46:37 - mmengine - INFO - Epoch(train) [424][1000/1252] lr: 1.9860e-04 eta: 1 day, 0:22:08 time: 0.3260 data_time: 0.0052 loss: 1.7357 03/12 15:47:10 - mmengine - INFO - Epoch(train) [424][1100/1252] lr: 1.9860e-04 eta: 1 day, 0:17:37 time: 0.3371 data_time: 0.0054 loss: 1.6972 03/12 15:47:42 - mmengine - INFO - Epoch(train) [424][1200/1252] lr: 1.9860e-04 eta: 1 day, 0:13:12 time: 0.3150 data_time: 0.0059 loss: 1.6686 03/12 15:47:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:47:58 - mmengine - INFO - Saving checkpoint at 424 epochs 03/12 15:48:23 - mmengine - INFO - Epoch(val) [424][49/49] accuracy/top1: 66.1340 accuracy/top5: 86.6840 03/12 15:48:59 - mmengine - INFO - Epoch(train) [425][ 100/1252] lr: 1.9324e-04 eta: 1 day, 0:08:10 time: 0.3324 data_time: 0.0049 loss: 1.6862 03/12 15:49:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:49:32 - mmengine - INFO - Epoch(train) [425][ 200/1252] lr: 1.9324e-04 eta: 1 day, 0:04:15 time: 0.3148 data_time: 0.0059 loss: 1.7612 03/12 15:50:06 - mmengine - INFO - Epoch(train) [425][ 300/1252] lr: 1.9324e-04 eta: 1 day, 0:00:54 time: 0.4070 data_time: 0.0062 loss: 1.7603 03/12 15:50:38 - mmengine - INFO - Epoch(train) [425][ 400/1252] lr: 1.9324e-04 eta: 23:56:51 time: 0.3225 data_time: 0.0040 loss: 1.8027 03/12 15:51:12 - mmengine - INFO - Epoch(train) [425][ 500/1252] lr: 1.9324e-04 eta: 23:53:28 time: 0.3922 data_time: 0.0040 loss: 1.7756 03/12 15:51:44 - mmengine - INFO - Epoch(train) [425][ 600/1252] lr: 1.9324e-04 eta: 23:49:51 time: 0.3878 data_time: 0.0040 loss: 1.8118 03/12 15:52:17 - mmengine - INFO - Epoch(train) [425][ 700/1252] lr: 1.9324e-04 eta: 23:46:17 time: 0.3429 data_time: 0.0036 loss: 1.7991 03/12 15:52:50 - mmengine - INFO - Epoch(train) [425][ 800/1252] lr: 1.9324e-04 eta: 23:42:58 time: 0.2985 data_time: 0.0040 loss: 1.7831 03/12 15:53:24 - mmengine - INFO - Epoch(train) [425][ 900/1252] lr: 1.9324e-04 eta: 23:39:49 time: 0.3276 data_time: 0.0039 loss: 1.7586 03/12 15:53:57 - mmengine - INFO - Epoch(train) [425][1000/1252] lr: 1.9324e-04 eta: 23:36:37 time: 0.3530 data_time: 0.0041 loss: 1.9036 03/12 15:54:30 - mmengine - INFO - Epoch(train) [425][1100/1252] lr: 1.9324e-04 eta: 23:33:32 time: 0.3453 data_time: 0.0036 loss: 1.8017 03/12 15:54:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:55:03 - mmengine - INFO - Epoch(train) [425][1200/1252] lr: 1.9324e-04 eta: 23:30:25 time: 0.3498 data_time: 0.0037 loss: 1.7922 03/12 15:55:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 15:55:19 - mmengine - INFO - Saving checkpoint at 425 epochs 03/12 15:55:42 - mmengine - INFO - Epoch(val) [425][49/49] accuracy/top1: 66.3660 accuracy/top5: 86.8640 03/12 15:56:17 - mmengine - INFO - Epoch(train) [426][ 100/1252] lr: 1.9324e-04 eta: 23:26:05 time: 0.2931 data_time: 0.0696 loss: 1.7276 03/12 15:56:50 - mmengine - INFO - Epoch(train) [426][ 200/1252] lr: 1.9324e-04 eta: 23:22:51 time: 0.2823 data_time: 0.0046 loss: 1.6837 03/12 15:57:23 - mmengine - INFO - Epoch(train) [426][ 300/1252] lr: 1.9324e-04 eta: 23:20:01 time: 0.2823 data_time: 0.0541 loss: 1.7518 03/12 15:57:56 - mmengine - INFO - Epoch(train) [426][ 400/1252] lr: 1.9324e-04 eta: 23:17:19 time: 0.3433 data_time: 0.0039 loss: 1.8416 03/12 15:58:31 - mmengine - INFO - Epoch(train) [426][ 500/1252] lr: 1.9324e-04 eta: 23:15:03 time: 0.3491 data_time: 0.0037 loss: 1.8183 03/12 15:59:03 - mmengine - INFO - Epoch(train) [426][ 600/1252] lr: 1.9324e-04 eta: 23:12:00 time: 0.2907 data_time: 0.0040 loss: 1.8846 03/12 15:59:37 - mmengine - INFO - Epoch(train) [426][ 700/1252] lr: 1.9324e-04 eta: 23:09:40 time: 0.3284 data_time: 0.0207 loss: 1.7749 03/12 16:00:09 - mmengine - INFO - Epoch(train) [426][ 800/1252] lr: 1.9324e-04 eta: 23:06:44 time: 0.3602 data_time: 0.0885 loss: 1.7563 03/12 16:00:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:00:42 - mmengine - INFO - Epoch(train) [426][ 900/1252] lr: 1.9324e-04 eta: 23:04:02 time: 0.3364 data_time: 0.0037 loss: 1.7512 03/12 16:01:15 - mmengine - INFO - Epoch(train) [426][1000/1252] lr: 1.9324e-04 eta: 23:01:24 time: 0.3184 data_time: 0.0044 loss: 1.7885 03/12 16:01:50 - mmengine - INFO - Epoch(train) [426][1100/1252] lr: 1.9324e-04 eta: 22:59:24 time: 0.4018 data_time: 0.0040 loss: 1.8536 03/12 16:02:22 - mmengine - INFO - Epoch(train) [426][1200/1252] lr: 1.9324e-04 eta: 22:56:41 time: 0.3379 data_time: 0.0603 loss: 1.7818 03/12 16:02:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:02:38 - mmengine - INFO - Saving checkpoint at 426 epochs 03/12 16:03:01 - mmengine - INFO - Epoch(val) [426][49/49] accuracy/top1: 66.6340 accuracy/top5: 86.9640 03/12 16:03:35 - mmengine - INFO - Epoch(train) [427][ 100/1252] lr: 1.8802e-04 eta: 22:52:59 time: 0.2968 data_time: 0.1631 loss: 1.8957 03/12 16:04:07 - mmengine - INFO - Epoch(train) [427][ 200/1252] lr: 1.8802e-04 eta: 22:50:17 time: 0.2918 data_time: 0.0048 loss: 1.7379 03/12 16:04:40 - mmengine - INFO - Epoch(train) [427][ 300/1252] lr: 1.8802e-04 eta: 22:47:51 time: 0.3579 data_time: 0.2274 loss: 1.7875 03/12 16:05:12 - mmengine - INFO - Epoch(train) [427][ 400/1252] lr: 1.8802e-04 eta: 22:45:03 time: 0.3311 data_time: 0.1150 loss: 1.7514 03/12 16:05:43 - mmengine - INFO - Epoch(train) [427][ 500/1252] lr: 1.8802e-04 eta: 22:42:09 time: 0.2936 data_time: 0.0044 loss: 1.8109 03/12 16:06:16 - mmengine - INFO - Epoch(train) [427][ 600/1252] lr: 1.8802e-04 eta: 22:39:47 time: 0.3041 data_time: 0.0045 loss: 1.8025 03/12 16:06:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:06:48 - mmengine - INFO - Epoch(train) [427][ 700/1252] lr: 1.8802e-04 eta: 22:37:22 time: 0.3361 data_time: 0.0043 loss: 1.8217 03/12 16:07:21 - mmengine - INFO - Epoch(train) [427][ 800/1252] lr: 1.8802e-04 eta: 22:35:06 time: 0.3342 data_time: 0.0038 loss: 1.7610 03/12 16:07:53 - mmengine - INFO - Epoch(train) [427][ 900/1252] lr: 1.8802e-04 eta: 22:32:29 time: 0.3816 data_time: 0.0329 loss: 1.6977 03/12 16:08:24 - mmengine - INFO - Epoch(train) [427][1000/1252] lr: 1.8802e-04 eta: 22:29:51 time: 0.3126 data_time: 0.0463 loss: 1.8221 03/12 16:08:57 - mmengine - INFO - Epoch(train) [427][1100/1252] lr: 1.8802e-04 eta: 22:27:43 time: 0.3606 data_time: 0.0043 loss: 1.8243 03/12 16:09:29 - mmengine - INFO - Epoch(train) [427][1200/1252] lr: 1.8802e-04 eta: 22:25:07 time: 0.2998 data_time: 0.0874 loss: 1.7434 03/12 16:09:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:09:45 - mmengine - INFO - Saving checkpoint at 427 epochs 03/12 16:10:08 - mmengine - INFO - Epoch(val) [427][49/49] accuracy/top1: 66.4980 accuracy/top5: 86.8460 03/12 16:10:43 - mmengine - INFO - Epoch(train) [428][ 100/1252] lr: 1.8802e-04 eta: 22:22:19 time: 0.3456 data_time: 0.0070 loss: 1.7929 03/12 16:11:16 - mmengine - INFO - Epoch(train) [428][ 200/1252] lr: 1.8802e-04 eta: 22:20:08 time: 0.3427 data_time: 0.0037 loss: 1.8428 03/12 16:11:47 - mmengine - INFO - Epoch(train) [428][ 300/1252] lr: 1.8802e-04 eta: 22:17:41 time: 0.2575 data_time: 0.0042 loss: 1.7840 03/12 16:12:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:12:20 - mmengine - INFO - Epoch(train) [428][ 400/1252] lr: 1.8802e-04 eta: 22:15:34 time: 0.3820 data_time: 0.0043 loss: 1.8313 03/12 16:12:51 - mmengine - INFO - Epoch(train) [428][ 500/1252] lr: 1.8802e-04 eta: 22:13:08 time: 0.2680 data_time: 0.0052 loss: 1.7756 03/12 16:13:24 - mmengine - INFO - Epoch(train) [428][ 600/1252] lr: 1.8802e-04 eta: 22:11:01 time: 0.2912 data_time: 0.0042 loss: 1.7018 03/12 16:13:56 - mmengine - INFO - Epoch(train) [428][ 700/1252] lr: 1.8802e-04 eta: 22:08:55 time: 0.3292 data_time: 0.1433 loss: 1.6979 03/12 16:14:28 - mmengine - INFO - Epoch(train) [428][ 800/1252] lr: 1.8802e-04 eta: 22:06:49 time: 0.3055 data_time: 0.0041 loss: 1.7008 03/12 16:15:01 - mmengine - INFO - Epoch(train) [428][ 900/1252] lr: 1.8802e-04 eta: 22:05:06 time: 0.4188 data_time: 0.0045 loss: 1.6843 03/12 16:15:33 - mmengine - INFO - Epoch(train) [428][1000/1252] lr: 1.8802e-04 eta: 22:02:56 time: 0.3661 data_time: 0.0043 loss: 1.8031 03/12 16:16:06 - mmengine - INFO - Epoch(train) [428][1100/1252] lr: 1.8802e-04 eta: 22:00:55 time: 0.3052 data_time: 0.0038 loss: 1.6875 03/12 16:16:39 - mmengine - INFO - Epoch(train) [428][1200/1252] lr: 1.8802e-04 eta: 21:59:23 time: 0.3281 data_time: 0.0037 loss: 1.8468 03/12 16:16:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:16:55 - mmengine - INFO - Saving checkpoint at 428 epochs 03/12 16:17:18 - mmengine - INFO - Epoch(val) [428][49/49] accuracy/top1: 66.3940 accuracy/top5: 86.7520 03/12 16:17:53 - mmengine - INFO - Epoch(train) [429][ 100/1252] lr: 1.8295e-04 eta: 21:56:42 time: 0.2992 data_time: 0.0042 loss: 1.8284 03/12 16:18:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:18:24 - mmengine - INFO - Epoch(train) [429][ 200/1252] lr: 1.8295e-04 eta: 21:54:26 time: 0.3004 data_time: 0.0043 loss: 1.8188 03/12 16:18:57 - mmengine - INFO - Epoch(train) [429][ 300/1252] lr: 1.8295e-04 eta: 21:52:40 time: 0.3754 data_time: 0.0579 loss: 1.6986 03/12 16:19:28 - mmengine - INFO - Epoch(train) [429][ 400/1252] lr: 1.8295e-04 eta: 21:50:38 time: 0.2561 data_time: 0.1361 loss: 1.7859 03/12 16:20:01 - mmengine - INFO - Epoch(train) [429][ 500/1252] lr: 1.8295e-04 eta: 21:48:57 time: 0.3736 data_time: 0.0047 loss: 1.8012 03/12 16:20:33 - mmengine - INFO - Epoch(train) [429][ 600/1252] lr: 1.8295e-04 eta: 21:46:59 time: 0.3662 data_time: 0.0253 loss: 1.7342 03/12 16:21:05 - mmengine - INFO - Epoch(train) [429][ 700/1252] lr: 1.8295e-04 eta: 21:45:08 time: 0.3488 data_time: 0.0039 loss: 1.8797 03/12 16:21:37 - mmengine - INFO - Epoch(train) [429][ 800/1252] lr: 1.8295e-04 eta: 21:43:20 time: 0.3326 data_time: 0.0039 loss: 1.8714 03/12 16:22:09 - mmengine - INFO - Epoch(train) [429][ 900/1252] lr: 1.8295e-04 eta: 21:41:25 time: 0.2965 data_time: 0.0046 loss: 1.8021 03/12 16:22:42 - mmengine - INFO - Epoch(train) [429][1000/1252] lr: 1.8295e-04 eta: 21:39:43 time: 0.3350 data_time: 0.1935 loss: 1.7908 03/12 16:23:14 - mmengine - INFO - Epoch(train) [429][1100/1252] lr: 1.8295e-04 eta: 21:37:52 time: 0.3527 data_time: 0.0044 loss: 1.8510 03/12 16:23:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:23:46 - mmengine - INFO - Epoch(train) [429][1200/1252] lr: 1.8295e-04 eta: 21:36:07 time: 0.2742 data_time: 0.0042 loss: 1.8175 03/12 16:24:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:24:02 - mmengine - INFO - Saving checkpoint at 429 epochs 03/12 16:24:25 - mmengine - INFO - Epoch(val) [429][49/49] accuracy/top1: 66.5340 accuracy/top5: 86.8940 03/12 16:24:59 - mmengine - INFO - Epoch(train) [430][ 100/1252] lr: 1.8295e-04 eta: 21:33:49 time: 0.3691 data_time: 0.0043 loss: 1.7569 03/12 16:25:32 - mmengine - INFO - Epoch(train) [430][ 200/1252] lr: 1.8295e-04 eta: 21:32:07 time: 0.3348 data_time: 0.1833 loss: 1.7425 03/12 16:26:03 - mmengine - INFO - Epoch(train) [430][ 300/1252] lr: 1.8295e-04 eta: 21:30:15 time: 0.2584 data_time: 0.0220 loss: 1.7785 03/12 16:26:36 - mmengine - INFO - Epoch(train) [430][ 400/1252] lr: 1.8295e-04 eta: 21:28:43 time: 0.3713 data_time: 0.0044 loss: 1.7692 03/12 16:27:08 - mmengine - INFO - Epoch(train) [430][ 500/1252] lr: 1.8295e-04 eta: 21:26:57 time: 0.2555 data_time: 0.0041 loss: 1.8215 03/12 16:27:40 - mmengine - INFO - Epoch(train) [430][ 600/1252] lr: 1.8295e-04 eta: 21:25:25 time: 0.3288 data_time: 0.0048 loss: 1.7261 03/12 16:28:12 - mmengine - INFO - Epoch(train) [430][ 700/1252] lr: 1.8295e-04 eta: 21:23:46 time: 0.3418 data_time: 0.0038 loss: 1.7710 03/12 16:28:45 - mmengine - INFO - Epoch(train) [430][ 800/1252] lr: 1.8295e-04 eta: 21:22:11 time: 0.3458 data_time: 0.0045 loss: 1.7528 03/12 16:29:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:29:16 - mmengine - INFO - Epoch(train) [430][ 900/1252] lr: 1.8295e-04 eta: 21:20:28 time: 0.3258 data_time: 0.0042 loss: 1.7439 03/12 16:29:49 - mmengine - INFO - Epoch(train) [430][1000/1252] lr: 1.8295e-04 eta: 21:18:57 time: 0.3475 data_time: 0.0505 loss: 1.7835 03/12 16:30:21 - mmengine - INFO - Epoch(train) [430][1100/1252] lr: 1.8295e-04 eta: 21:17:20 time: 0.3104 data_time: 0.0043 loss: 1.8327 03/12 16:30:52 - mmengine - INFO - Epoch(train) [430][1200/1252] lr: 1.8295e-04 eta: 21:15:41 time: 0.3439 data_time: 0.0044 loss: 1.8823 03/12 16:31:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:31:09 - mmengine - INFO - Saving checkpoint at 430 epochs 03/12 16:31:32 - mmengine - INFO - Epoch(val) [430][49/49] accuracy/top1: 66.5000 accuracy/top5: 86.7340 03/12 16:32:06 - mmengine - INFO - Epoch(train) [431][ 100/1252] lr: 1.7801e-04 eta: 21:13:40 time: 0.3040 data_time: 0.0043 loss: 1.6697 03/12 16:32:38 - mmengine - INFO - Epoch(train) [431][ 200/1252] lr: 1.7801e-04 eta: 21:12:07 time: 0.2593 data_time: 0.0043 loss: 1.7809 03/12 16:33:11 - mmengine - INFO - Epoch(train) [431][ 300/1252] lr: 1.7801e-04 eta: 21:10:43 time: 0.2795 data_time: 0.0053 loss: 1.8530 03/12 16:33:44 - mmengine - INFO - Epoch(train) [431][ 400/1252] lr: 1.7801e-04 eta: 21:09:23 time: 0.3679 data_time: 0.0040 loss: 1.7956 03/12 16:34:16 - mmengine - INFO - Epoch(train) [431][ 500/1252] lr: 1.7801e-04 eta: 21:07:55 time: 0.3842 data_time: 0.0041 loss: 1.7816 03/12 16:34:48 - mmengine - INFO - Epoch(train) [431][ 600/1252] lr: 1.7801e-04 eta: 21:06:18 time: 0.3225 data_time: 0.0152 loss: 1.8768 03/12 16:35:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:35:19 - mmengine - INFO - Epoch(train) [431][ 700/1252] lr: 1.7801e-04 eta: 21:04:42 time: 0.3253 data_time: 0.0040 loss: 1.7275 03/12 16:35:52 - mmengine - INFO - Epoch(train) [431][ 800/1252] lr: 1.7801e-04 eta: 21:03:21 time: 0.3912 data_time: 0.0041 loss: 1.7853 03/12 16:36:24 - mmengine - INFO - Epoch(train) [431][ 900/1252] lr: 1.7801e-04 eta: 21:01:52 time: 0.3072 data_time: 0.0041 loss: 1.8122 03/12 16:36:56 - mmengine - INFO - Epoch(train) [431][1000/1252] lr: 1.7801e-04 eta: 21:00:25 time: 0.3348 data_time: 0.0662 loss: 1.8075 03/12 16:37:29 - mmengine - INFO - Epoch(train) [431][1100/1252] lr: 1.7801e-04 eta: 20:59:08 time: 0.3347 data_time: 0.0043 loss: 1.8606 03/12 16:38:01 - mmengine - INFO - Epoch(train) [431][1200/1252] lr: 1.7801e-04 eta: 20:57:41 time: 0.3864 data_time: 0.0043 loss: 1.8240 03/12 16:38:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:38:17 - mmengine - INFO - Saving checkpoint at 431 epochs 03/12 16:38:40 - mmengine - INFO - Epoch(val) [431][49/49] accuracy/top1: 66.4620 accuracy/top5: 86.9040 03/12 16:39:14 - mmengine - INFO - Epoch(train) [432][ 100/1252] lr: 1.7801e-04 eta: 20:55:49 time: 0.3066 data_time: 0.0042 loss: 1.8416 03/12 16:39:46 - mmengine - INFO - Epoch(train) [432][ 200/1252] lr: 1.7801e-04 eta: 20:54:27 time: 0.3138 data_time: 0.0043 loss: 1.8528 03/12 16:40:18 - mmengine - INFO - Epoch(train) [432][ 300/1252] lr: 1.7801e-04 eta: 20:53:01 time: 0.2841 data_time: 0.0046 loss: 1.7699 03/12 16:40:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:40:51 - mmengine - INFO - Epoch(train) [432][ 400/1252] lr: 1.7801e-04 eta: 20:51:46 time: 0.3397 data_time: 0.0041 loss: 1.6888 03/12 16:41:23 - mmengine - INFO - Epoch(train) [432][ 500/1252] lr: 1.7801e-04 eta: 20:50:26 time: 0.3384 data_time: 0.0042 loss: 1.8278 03/12 16:41:55 - mmengine - INFO - Epoch(train) [432][ 600/1252] lr: 1.7801e-04 eta: 20:49:00 time: 0.2929 data_time: 0.0044 loss: 1.7152 03/12 16:42:27 - mmengine - INFO - Epoch(train) [432][ 700/1252] lr: 1.7801e-04 eta: 20:47:45 time: 0.3206 data_time: 0.0046 loss: 1.7846 03/12 16:43:00 - mmengine - INFO - Epoch(train) [432][ 800/1252] lr: 1.7801e-04 eta: 20:46:29 time: 0.2987 data_time: 0.0043 loss: 1.7093 03/12 16:43:31 - mmengine - INFO - Epoch(train) [432][ 900/1252] lr: 1.7801e-04 eta: 20:45:05 time: 0.3169 data_time: 0.0070 loss: 1.7779 03/12 16:44:03 - mmengine - INFO - Epoch(train) [432][1000/1252] lr: 1.7801e-04 eta: 20:43:39 time: 0.2990 data_time: 0.0474 loss: 1.7798 03/12 16:44:36 - mmengine - INFO - Epoch(train) [432][1100/1252] lr: 1.7801e-04 eta: 20:42:33 time: 0.3434 data_time: 0.0047 loss: 1.6604 03/12 16:45:08 - mmengine - INFO - Epoch(train) [432][1200/1252] lr: 1.7801e-04 eta: 20:41:09 time: 0.2980 data_time: 0.0044 loss: 1.7654 03/12 16:45:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:45:24 - mmengine - INFO - Saving checkpoint at 432 epochs 03/12 16:45:48 - mmengine - INFO - Epoch(val) [432][49/49] accuracy/top1: 66.3780 accuracy/top5: 86.7500 03/12 16:46:22 - mmengine - INFO - Epoch(train) [433][ 100/1252] lr: 1.7320e-04 eta: 20:39:31 time: 0.3753 data_time: 0.0042 loss: 1.7942 03/12 16:46:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:46:54 - mmengine - INFO - Epoch(train) [433][ 200/1252] lr: 1.7320e-04 eta: 20:38:06 time: 0.2898 data_time: 0.0041 loss: 1.7357 03/12 16:47:26 - mmengine - INFO - Epoch(train) [433][ 300/1252] lr: 1.7320e-04 eta: 20:36:46 time: 0.2342 data_time: 0.0040 loss: 1.7454 03/12 16:47:59 - mmengine - INFO - Epoch(train) [433][ 400/1252] lr: 1.7320e-04 eta: 20:35:45 time: 0.3353 data_time: 0.0041 loss: 1.8646 03/12 16:48:32 - mmengine - INFO - Epoch(train) [433][ 500/1252] lr: 1.7320e-04 eta: 20:34:36 time: 0.3806 data_time: 0.0038 loss: 1.8230 03/12 16:49:03 - mmengine - INFO - Epoch(train) [433][ 600/1252] lr: 1.7320e-04 eta: 20:33:15 time: 0.3121 data_time: 0.0419 loss: 1.8271 03/12 16:49:36 - mmengine - INFO - Epoch(train) [433][ 700/1252] lr: 1.7320e-04 eta: 20:32:08 time: 0.3027 data_time: 0.0037 loss: 1.7991 03/12 16:50:08 - mmengine - INFO - Epoch(train) [433][ 800/1252] lr: 1.7320e-04 eta: 20:30:51 time: 0.2560 data_time: 0.0042 loss: 1.8011 03/12 16:50:40 - mmengine - INFO - Epoch(train) [433][ 900/1252] lr: 1.7320e-04 eta: 20:29:44 time: 0.3267 data_time: 0.0042 loss: 1.8023 03/12 16:51:13 - mmengine - INFO - Epoch(train) [433][1000/1252] lr: 1.7320e-04 eta: 20:28:34 time: 0.3498 data_time: 0.0041 loss: 1.8327 03/12 16:51:44 - mmengine - INFO - Epoch(train) [433][1100/1252] lr: 1.7320e-04 eta: 20:27:15 time: 0.2604 data_time: 0.0049 loss: 1.7661 03/12 16:51:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:52:16 - mmengine - INFO - Epoch(train) [433][1200/1252] lr: 1.7320e-04 eta: 20:26:02 time: 0.2913 data_time: 0.0044 loss: 1.9148 03/12 16:52:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:52:33 - mmengine - INFO - Saving checkpoint at 433 epochs 03/12 16:52:57 - mmengine - INFO - Epoch(val) [433][49/49] accuracy/top1: 66.2160 accuracy/top5: 86.6600 03/12 16:53:31 - mmengine - INFO - Epoch(train) [434][ 100/1252] lr: 1.7320e-04 eta: 20:24:32 time: 0.3044 data_time: 0.0043 loss: 1.7425 03/12 16:54:04 - mmengine - INFO - Epoch(train) [434][ 200/1252] lr: 1.7320e-04 eta: 20:23:23 time: 0.3014 data_time: 0.0042 loss: 1.9340 03/12 16:54:36 - mmengine - INFO - Epoch(train) [434][ 300/1252] lr: 1.7320e-04 eta: 20:22:18 time: 0.2960 data_time: 0.0044 loss: 1.7494 03/12 16:55:08 - mmengine - INFO - Epoch(train) [434][ 400/1252] lr: 1.7320e-04 eta: 20:21:09 time: 0.3108 data_time: 0.0041 loss: 1.8263 03/12 16:55:40 - mmengine - INFO - Epoch(train) [434][ 500/1252] lr: 1.7320e-04 eta: 20:19:57 time: 0.3481 data_time: 0.1430 loss: 1.7727 03/12 16:56:13 - mmengine - INFO - Epoch(train) [434][ 600/1252] lr: 1.7320e-04 eta: 20:18:49 time: 0.3533 data_time: 0.1410 loss: 1.8343 03/12 16:56:45 - mmengine - INFO - Epoch(train) [434][ 700/1252] lr: 1.7320e-04 eta: 20:17:39 time: 0.3313 data_time: 0.1294 loss: 1.7951 03/12 16:57:17 - mmengine - INFO - Epoch(train) [434][ 800/1252] lr: 1.7320e-04 eta: 20:16:32 time: 0.2948 data_time: 0.0301 loss: 1.7716 03/12 16:57:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:57:49 - mmengine - INFO - Epoch(train) [434][ 900/1252] lr: 1.7320e-04 eta: 20:15:23 time: 0.2807 data_time: 0.0042 loss: 1.8505 03/12 16:58:22 - mmengine - INFO - Epoch(train) [434][1000/1252] lr: 1.7320e-04 eta: 20:14:25 time: 0.3602 data_time: 0.0042 loss: 1.8413 03/12 16:58:54 - mmengine - INFO - Epoch(train) [434][1100/1252] lr: 1.7320e-04 eta: 20:13:11 time: 0.3411 data_time: 0.0047 loss: 1.8607 03/12 16:59:26 - mmengine - INFO - Epoch(train) [434][1200/1252] lr: 1.7320e-04 eta: 20:12:08 time: 0.3518 data_time: 0.0045 loss: 1.8154 03/12 16:59:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 16:59:42 - mmengine - INFO - Saving checkpoint at 434 epochs 03/12 17:00:05 - mmengine - INFO - Epoch(val) [434][49/49] accuracy/top1: 66.5360 accuracy/top5: 86.7960 03/12 17:00:39 - mmengine - INFO - Epoch(train) [435][ 100/1252] lr: 1.6853e-04 eta: 20:10:32 time: 0.2922 data_time: 0.0183 loss: 1.7777 03/12 17:01:12 - mmengine - INFO - Epoch(train) [435][ 200/1252] lr: 1.6853e-04 eta: 20:09:36 time: 0.3017 data_time: 0.0042 loss: 1.7658 03/12 17:01:43 - mmengine - INFO - Epoch(train) [435][ 300/1252] lr: 1.6853e-04 eta: 20:08:24 time: 0.3220 data_time: 0.0040 loss: 1.7734 03/12 17:02:16 - mmengine - INFO - Epoch(train) [435][ 400/1252] lr: 1.6853e-04 eta: 20:07:18 time: 0.3129 data_time: 0.0043 loss: 1.8696 03/12 17:02:48 - mmengine - INFO - Epoch(train) [435][ 500/1252] lr: 1.6853e-04 eta: 20:06:16 time: 0.3639 data_time: 0.0250 loss: 1.7096 03/12 17:03:21 - mmengine - INFO - Epoch(train) [435][ 600/1252] lr: 1.6853e-04 eta: 20:05:17 time: 0.2902 data_time: 0.0041 loss: 1.8193 03/12 17:03:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:03:52 - mmengine - INFO - Epoch(train) [435][ 700/1252] lr: 1.6853e-04 eta: 20:04:06 time: 0.3176 data_time: 0.0043 loss: 1.7323 03/12 17:04:25 - mmengine - INFO - Epoch(train) [435][ 800/1252] lr: 1.6853e-04 eta: 20:03:07 time: 0.3325 data_time: 0.0049 loss: 1.7811 03/12 17:04:56 - mmengine - INFO - Epoch(train) [435][ 900/1252] lr: 1.6853e-04 eta: 20:01:54 time: 0.3096 data_time: 0.0253 loss: 1.6902 03/12 17:05:28 - mmengine - INFO - Epoch(train) [435][1000/1252] lr: 1.6853e-04 eta: 20:00:51 time: 0.3465 data_time: 0.0042 loss: 1.7548 03/12 17:06:01 - mmengine - INFO - Epoch(train) [435][1100/1252] lr: 1.6853e-04 eta: 19:59:53 time: 0.3366 data_time: 0.0091 loss: 1.7852 03/12 17:06:33 - mmengine - INFO - Epoch(train) [435][1200/1252] lr: 1.6853e-04 eta: 19:58:47 time: 0.3353 data_time: 0.0045 loss: 1.7951 03/12 17:06:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:06:49 - mmengine - INFO - Saving checkpoint at 435 epochs 03/12 17:07:11 - mmengine - INFO - Epoch(val) [435][49/49] accuracy/top1: 66.6480 accuracy/top5: 86.9160 03/12 17:07:45 - mmengine - INFO - Epoch(train) [436][ 100/1252] lr: 1.6853e-04 eta: 19:57:20 time: 0.2378 data_time: 0.0042 loss: 1.7851 03/12 17:08:18 - mmengine - INFO - Epoch(train) [436][ 200/1252] lr: 1.6853e-04 eta: 19:56:22 time: 0.2828 data_time: 0.0041 loss: 1.6997 03/12 17:08:50 - mmengine - INFO - Epoch(train) [436][ 300/1252] lr: 1.6853e-04 eta: 19:55:17 time: 0.3064 data_time: 0.0044 loss: 1.7075 03/12 17:09:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:09:23 - mmengine - INFO - Epoch(train) [436][ 400/1252] lr: 1.6853e-04 eta: 19:54:22 time: 0.3642 data_time: 0.2289 loss: 1.7833 03/12 17:09:55 - mmengine - INFO - Epoch(train) [436][ 500/1252] lr: 1.6853e-04 eta: 19:53:22 time: 0.2986 data_time: 0.0041 loss: 1.8029 03/12 17:10:27 - mmengine - INFO - Epoch(train) [436][ 600/1252] lr: 1.6853e-04 eta: 19:52:22 time: 0.3531 data_time: 0.0043 loss: 1.7656 03/12 17:11:00 - mmengine - INFO - Epoch(train) [436][ 700/1252] lr: 1.6853e-04 eta: 19:51:24 time: 0.3629 data_time: 0.0660 loss: 1.6479 03/12 17:11:32 - mmengine - INFO - Epoch(train) [436][ 800/1252] lr: 1.6853e-04 eta: 19:50:23 time: 0.3003 data_time: 0.0240 loss: 1.7341 03/12 17:12:04 - mmengine - INFO - Epoch(train) [436][ 900/1252] lr: 1.6853e-04 eta: 19:49:20 time: 0.2787 data_time: 0.0042 loss: 1.6906 03/12 17:12:36 - mmengine - INFO - Epoch(train) [436][1000/1252] lr: 1.6853e-04 eta: 19:48:20 time: 0.2813 data_time: 0.0047 loss: 1.7446 03/12 17:13:08 - mmengine - INFO - Epoch(train) [436][1100/1252] lr: 1.6853e-04 eta: 19:47:19 time: 0.3170 data_time: 0.0049 loss: 1.7376 03/12 17:13:40 - mmengine - INFO - Epoch(train) [436][1200/1252] lr: 1.6853e-04 eta: 19:46:15 time: 0.3074 data_time: 0.0041 loss: 1.7870 03/12 17:13:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:13:55 - mmengine - INFO - Saving checkpoint at 436 epochs 03/12 17:14:18 - mmengine - INFO - Epoch(val) [436][49/49] accuracy/top1: 66.5080 accuracy/top5: 86.9000 03/12 17:14:53 - mmengine - INFO - Epoch(train) [437][ 100/1252] lr: 1.6398e-04 eta: 19:44:57 time: 0.3298 data_time: 0.0763 loss: 1.7263 03/12 17:15:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:15:25 - mmengine - INFO - Epoch(train) [437][ 200/1252] lr: 1.6398e-04 eta: 19:43:56 time: 0.3154 data_time: 0.0043 loss: 1.7388 03/12 17:15:57 - mmengine - INFO - Epoch(train) [437][ 300/1252] lr: 1.6398e-04 eta: 19:42:57 time: 0.2960 data_time: 0.0204 loss: 1.8671 03/12 17:16:29 - mmengine - INFO - Epoch(train) [437][ 400/1252] lr: 1.6398e-04 eta: 19:41:58 time: 0.2961 data_time: 0.0047 loss: 1.8517 03/12 17:17:01 - mmengine - INFO - Epoch(train) [437][ 500/1252] lr: 1.6398e-04 eta: 19:40:59 time: 0.2678 data_time: 0.0413 loss: 1.7247 03/12 17:17:34 - mmengine - INFO - Epoch(train) [437][ 600/1252] lr: 1.6398e-04 eta: 19:40:05 time: 0.3206 data_time: 0.0043 loss: 1.7723 03/12 17:18:06 - mmengine - INFO - Epoch(train) [437][ 700/1252] lr: 1.6398e-04 eta: 19:39:11 time: 0.3819 data_time: 0.0040 loss: 1.7719 03/12 17:18:37 - mmengine - INFO - Epoch(train) [437][ 800/1252] lr: 1.6398e-04 eta: 19:38:06 time: 0.3196 data_time: 0.0041 loss: 1.7396 03/12 17:19:09 - mmengine - INFO - Epoch(train) [437][ 900/1252] lr: 1.6398e-04 eta: 19:37:06 time: 0.2667 data_time: 0.1437 loss: 1.7607 03/12 17:19:42 - mmengine - INFO - Epoch(train) [437][1000/1252] lr: 1.6398e-04 eta: 19:36:12 time: 0.2726 data_time: 0.0039 loss: 1.7908 03/12 17:20:14 - mmengine - INFO - Epoch(train) [437][1100/1252] lr: 1.6398e-04 eta: 19:35:14 time: 0.2972 data_time: 0.0038 loss: 1.7472 03/12 17:20:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:20:47 - mmengine - INFO - Epoch(train) [437][1200/1252] lr: 1.6398e-04 eta: 19:34:22 time: 0.2943 data_time: 0.0041 loss: 1.7082 03/12 17:21:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:21:02 - mmengine - INFO - Saving checkpoint at 437 epochs 03/12 17:21:24 - mmengine - INFO - Epoch(val) [437][49/49] accuracy/top1: 66.6320 accuracy/top5: 86.8900 03/12 17:21:58 - mmengine - INFO - Epoch(train) [438][ 100/1252] lr: 1.6398e-04 eta: 19:33:00 time: 0.2994 data_time: 0.0046 loss: 1.8626 03/12 17:22:31 - mmengine - INFO - Epoch(train) [438][ 200/1252] lr: 1.6398e-04 eta: 19:32:04 time: 0.3560 data_time: 0.0408 loss: 1.7455 03/12 17:23:03 - mmengine - INFO - Epoch(train) [438][ 300/1252] lr: 1.6398e-04 eta: 19:31:06 time: 0.2857 data_time: 0.0267 loss: 1.7766 03/12 17:23:35 - mmengine - INFO - Epoch(train) [438][ 400/1252] lr: 1.6398e-04 eta: 19:30:14 time: 0.3506 data_time: 0.0050 loss: 1.6753 03/12 17:24:08 - mmengine - INFO - Epoch(train) [438][ 500/1252] lr: 1.6398e-04 eta: 19:29:20 time: 0.3654 data_time: 0.0266 loss: 1.7430 03/12 17:24:38 - mmengine - INFO - Epoch(train) [438][ 600/1252] lr: 1.6398e-04 eta: 19:28:14 time: 0.2984 data_time: 0.0049 loss: 1.7840 03/12 17:25:11 - mmengine - INFO - Epoch(train) [438][ 700/1252] lr: 1.6398e-04 eta: 19:27:22 time: 0.3142 data_time: 0.0041 loss: 1.7607 03/12 17:25:44 - mmengine - INFO - Epoch(train) [438][ 800/1252] lr: 1.6398e-04 eta: 19:26:37 time: 0.3268 data_time: 0.0036 loss: 1.7095 03/12 17:26:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:26:17 - mmengine - INFO - Epoch(train) [438][ 900/1252] lr: 1.6398e-04 eta: 19:25:43 time: 0.3734 data_time: 0.2439 loss: 1.7273 03/12 17:26:48 - mmengine - INFO - Epoch(train) [438][1000/1252] lr: 1.6398e-04 eta: 19:24:40 time: 0.2818 data_time: 0.0404 loss: 1.9042 03/12 17:27:21 - mmengine - INFO - Epoch(train) [438][1100/1252] lr: 1.6398e-04 eta: 19:23:53 time: 0.3632 data_time: 0.0042 loss: 1.8217 03/12 17:27:53 - mmengine - INFO - Epoch(train) [438][1200/1252] lr: 1.6398e-04 eta: 19:22:57 time: 0.3192 data_time: 0.0040 loss: 1.7252 03/12 17:28:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:28:09 - mmengine - INFO - Saving checkpoint at 438 epochs 03/12 17:28:32 - mmengine - INFO - Epoch(val) [438][49/49] accuracy/top1: 66.6220 accuracy/top5: 86.9340 03/12 17:29:07 - mmengine - INFO - Epoch(train) [439][ 100/1252] lr: 1.5955e-04 eta: 19:21:47 time: 0.2715 data_time: 0.0045 loss: 1.7405 03/12 17:29:39 - mmengine - INFO - Epoch(train) [439][ 200/1252] lr: 1.5955e-04 eta: 19:20:51 time: 0.2890 data_time: 0.0044 loss: 1.6566 03/12 17:30:11 - mmengine - INFO - Epoch(train) [439][ 300/1252] lr: 1.5955e-04 eta: 19:19:59 time: 0.3479 data_time: 0.0229 loss: 1.8031 03/12 17:30:43 - mmengine - INFO - Epoch(train) [439][ 400/1252] lr: 1.5955e-04 eta: 19:19:06 time: 0.3225 data_time: 0.0044 loss: 1.8674 03/12 17:31:15 - mmengine - INFO - Epoch(train) [439][ 500/1252] lr: 1.5955e-04 eta: 19:18:10 time: 0.3283 data_time: 0.0519 loss: 1.7875 03/12 17:31:48 - mmengine - INFO - Epoch(train) [439][ 600/1252] lr: 1.5955e-04 eta: 19:17:25 time: 0.3639 data_time: 0.0041 loss: 1.7409 03/12 17:31:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:32:20 - mmengine - INFO - Epoch(train) [439][ 700/1252] lr: 1.5955e-04 eta: 19:16:28 time: 0.3523 data_time: 0.0507 loss: 1.6484 03/12 17:32:53 - mmengine - INFO - Epoch(train) [439][ 800/1252] lr: 1.5955e-04 eta: 19:15:38 time: 0.3740 data_time: 0.0041 loss: 1.8121 03/12 17:33:24 - mmengine - INFO - Epoch(train) [439][ 900/1252] lr: 1.5955e-04 eta: 19:14:41 time: 0.2605 data_time: 0.0044 loss: 1.8282 03/12 17:33:57 - mmengine - INFO - Epoch(train) [439][1000/1252] lr: 1.5955e-04 eta: 19:13:51 time: 0.3176 data_time: 0.0228 loss: 1.8087 03/12 17:34:29 - mmengine - INFO - Epoch(train) [439][1100/1252] lr: 1.5955e-04 eta: 19:13:01 time: 0.3511 data_time: 0.0044 loss: 1.7242 03/12 17:35:01 - mmengine - INFO - Epoch(train) [439][1200/1252] lr: 1.5955e-04 eta: 19:12:09 time: 0.3340 data_time: 0.0048 loss: 1.6527 03/12 17:35:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:35:17 - mmengine - INFO - Saving checkpoint at 439 epochs 03/12 17:35:40 - mmengine - INFO - Epoch(val) [439][49/49] accuracy/top1: 66.5580 accuracy/top5: 86.9540 03/12 17:36:14 - mmengine - INFO - Epoch(train) [440][ 100/1252] lr: 1.5955e-04 eta: 19:10:53 time: 0.2614 data_time: 0.0047 loss: 1.8109 03/12 17:36:47 - mmengine - INFO - Epoch(train) [440][ 200/1252] lr: 1.5955e-04 eta: 19:10:07 time: 0.3355 data_time: 0.0039 loss: 1.8288 03/12 17:37:19 - mmengine - INFO - Epoch(train) [440][ 300/1252] lr: 1.5955e-04 eta: 19:09:15 time: 0.3054 data_time: 0.0656 loss: 1.7194 03/12 17:37:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:37:51 - mmengine - INFO - Epoch(train) [440][ 400/1252] lr: 1.5955e-04 eta: 19:08:20 time: 0.3096 data_time: 0.0054 loss: 1.7738 03/12 17:38:24 - mmengine - INFO - Epoch(train) [440][ 500/1252] lr: 1.5955e-04 eta: 19:07:33 time: 0.3778 data_time: 0.1172 loss: 1.7644 03/12 17:38:55 - mmengine - INFO - Epoch(train) [440][ 600/1252] lr: 1.5955e-04 eta: 19:06:38 time: 0.3668 data_time: 0.0051 loss: 1.6063 03/12 17:39:28 - mmengine - INFO - Epoch(train) [440][ 700/1252] lr: 1.5955e-04 eta: 19:05:51 time: 0.3617 data_time: 0.0050 loss: 1.7756 03/12 17:39:59 - mmengine - INFO - Epoch(train) [440][ 800/1252] lr: 1.5955e-04 eta: 19:04:52 time: 0.3226 data_time: 0.0046 loss: 1.8364 03/12 17:40:32 - mmengine - INFO - Epoch(train) [440][ 900/1252] lr: 1.5955e-04 eta: 19:04:03 time: 0.2720 data_time: 0.0041 loss: 1.6208 03/12 17:41:04 - mmengine - INFO - Epoch(train) [440][1000/1252] lr: 1.5955e-04 eta: 19:03:11 time: 0.3241 data_time: 0.0053 loss: 1.7137 03/12 17:41:36 - mmengine - INFO - Epoch(train) [440][1100/1252] lr: 1.5955e-04 eta: 19:02:18 time: 0.2964 data_time: 0.0048 loss: 1.6803 03/12 17:42:08 - mmengine - INFO - Epoch(train) [440][1200/1252] lr: 1.5955e-04 eta: 19:01:26 time: 0.2718 data_time: 0.0043 loss: 1.7846 03/12 17:42:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:42:24 - mmengine - INFO - Saving checkpoint at 440 epochs 03/12 17:42:47 - mmengine - INFO - Epoch(val) [440][49/49] accuracy/top1: 66.6520 accuracy/top5: 86.8260 03/12 17:43:21 - mmengine - INFO - Epoch(train) [441][ 100/1252] lr: 1.5524e-04 eta: 19:00:19 time: 0.2782 data_time: 0.0041 loss: 1.6886 03/12 17:43:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:43:53 - mmengine - INFO - Epoch(train) [441][ 200/1252] lr: 1.5524e-04 eta: 18:59:27 time: 0.2771 data_time: 0.0040 loss: 1.8004 03/12 17:44:25 - mmengine - INFO - Epoch(train) [441][ 300/1252] lr: 1.5524e-04 eta: 18:58:41 time: 0.3564 data_time: 0.0044 loss: 1.7943 03/12 17:44:58 - mmengine - INFO - Epoch(train) [441][ 400/1252] lr: 1.5524e-04 eta: 18:57:51 time: 0.3022 data_time: 0.0041 loss: 1.8145 03/12 17:45:30 - mmengine - INFO - Epoch(train) [441][ 500/1252] lr: 1.5524e-04 eta: 18:57:02 time: 0.3515 data_time: 0.0044 loss: 1.8598 03/12 17:46:01 - mmengine - INFO - Epoch(train) [441][ 600/1252] lr: 1.5524e-04 eta: 18:56:05 time: 0.2950 data_time: 0.0053 loss: 1.8564 03/12 17:46:34 - mmengine - INFO - Epoch(train) [441][ 700/1252] lr: 1.5524e-04 eta: 18:55:19 time: 0.2624 data_time: 0.0209 loss: 1.7646 03/12 17:47:05 - mmengine - INFO - Epoch(train) [441][ 800/1252] lr: 1.5524e-04 eta: 18:54:27 time: 0.3274 data_time: 0.0052 loss: 1.7218 03/12 17:47:38 - mmengine - INFO - Epoch(train) [441][ 900/1252] lr: 1.5524e-04 eta: 18:53:42 time: 0.3214 data_time: 0.0045 loss: 1.8185 03/12 17:48:11 - mmengine - INFO - Epoch(train) [441][1000/1252] lr: 1.5524e-04 eta: 18:52:54 time: 0.3403 data_time: 0.0049 loss: 1.7725 03/12 17:48:43 - mmengine - INFO - Epoch(train) [441][1100/1252] lr: 1.5524e-04 eta: 18:52:05 time: 0.3087 data_time: 0.0046 loss: 1.7436 03/12 17:48:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:49:15 - mmengine - INFO - Epoch(train) [441][1200/1252] lr: 1.5524e-04 eta: 18:51:16 time: 0.3155 data_time: 0.0790 loss: 1.7821 03/12 17:49:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:49:31 - mmengine - INFO - Saving checkpoint at 441 epochs 03/12 17:49:53 - mmengine - INFO - Epoch(val) [441][49/49] accuracy/top1: 66.7260 accuracy/top5: 87.0280 03/12 17:50:28 - mmengine - INFO - Epoch(train) [442][ 100/1252] lr: 1.5524e-04 eta: 18:50:10 time: 0.3132 data_time: 0.0043 loss: 1.8371 03/12 17:51:00 - mmengine - INFO - Epoch(train) [442][ 200/1252] lr: 1.5524e-04 eta: 18:49:21 time: 0.2531 data_time: 0.0051 loss: 1.7214 03/12 17:51:33 - mmengine - INFO - Epoch(train) [442][ 300/1252] lr: 1.5524e-04 eta: 18:48:37 time: 0.3360 data_time: 0.0040 loss: 1.8069 03/12 17:52:05 - mmengine - INFO - Epoch(train) [442][ 400/1252] lr: 1.5524e-04 eta: 18:47:46 time: 0.3040 data_time: 0.0044 loss: 1.7715 03/12 17:52:36 - mmengine - INFO - Epoch(train) [442][ 500/1252] lr: 1.5524e-04 eta: 18:46:56 time: 0.2829 data_time: 0.0048 loss: 1.7786 03/12 17:53:09 - mmengine - INFO - Epoch(train) [442][ 600/1252] lr: 1.5524e-04 eta: 18:46:07 time: 0.2981 data_time: 0.0044 loss: 1.8016 03/12 17:53:41 - mmengine - INFO - Epoch(train) [442][ 700/1252] lr: 1.5524e-04 eta: 18:45:21 time: 0.3430 data_time: 0.1252 loss: 1.8353 03/12 17:54:13 - mmengine - INFO - Epoch(train) [442][ 800/1252] lr: 1.5524e-04 eta: 18:44:34 time: 0.3077 data_time: 0.0042 loss: 1.8079 03/12 17:54:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:54:45 - mmengine - INFO - Epoch(train) [442][ 900/1252] lr: 1.5524e-04 eta: 18:43:42 time: 0.3251 data_time: 0.0049 loss: 1.8516 03/12 17:55:17 - mmengine - INFO - Epoch(train) [442][1000/1252] lr: 1.5524e-04 eta: 18:42:54 time: 0.3126 data_time: 0.0041 loss: 1.8370 03/12 17:55:49 - mmengine - INFO - Epoch(train) [442][1100/1252] lr: 1.5524e-04 eta: 18:42:08 time: 0.3170 data_time: 0.0042 loss: 1.7338 03/12 17:56:21 - mmengine - INFO - Epoch(train) [442][1200/1252] lr: 1.5524e-04 eta: 18:41:17 time: 0.3431 data_time: 0.0418 loss: 1.7574 03/12 17:56:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 17:56:37 - mmengine - INFO - Saving checkpoint at 442 epochs 03/12 17:56:59 - mmengine - INFO - Epoch(val) [442][49/49] accuracy/top1: 66.5240 accuracy/top5: 86.8820 03/12 17:57:34 - mmengine - INFO - Epoch(train) [443][ 100/1252] lr: 1.5105e-04 eta: 18:40:14 time: 0.2125 data_time: 0.0051 loss: 1.9689 03/12 17:58:06 - mmengine - INFO - Epoch(train) [443][ 200/1252] lr: 1.5105e-04 eta: 18:39:30 time: 0.3498 data_time: 0.0045 loss: 1.8359 03/12 17:58:39 - mmengine - INFO - Epoch(train) [443][ 300/1252] lr: 1.5105e-04 eta: 18:38:46 time: 0.3184 data_time: 0.0056 loss: 1.7767 03/12 17:59:11 - mmengine - INFO - Epoch(train) [443][ 400/1252] lr: 1.5105e-04 eta: 18:37:59 time: 0.3533 data_time: 0.0242 loss: 1.6880 03/12 17:59:44 - mmengine - INFO - Epoch(train) [443][ 500/1252] lr: 1.5105e-04 eta: 18:37:13 time: 0.3846 data_time: 0.0042 loss: 1.7686 03/12 18:00:15 - mmengine - INFO - Epoch(train) [443][ 600/1252] lr: 1.5105e-04 eta: 18:36:24 time: 0.3661 data_time: 0.0357 loss: 1.7478 03/12 18:00:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:00:47 - mmengine - INFO - Epoch(train) [443][ 700/1252] lr: 1.5105e-04 eta: 18:35:34 time: 0.2798 data_time: 0.0520 loss: 1.7880 03/12 18:01:19 - mmengine - INFO - Epoch(train) [443][ 800/1252] lr: 1.5105e-04 eta: 18:34:47 time: 0.2802 data_time: 0.0044 loss: 1.7383 03/12 18:01:51 - mmengine - INFO - Epoch(train) [443][ 900/1252] lr: 1.5105e-04 eta: 18:33:59 time: 0.2540 data_time: 0.0327 loss: 1.8529 03/12 18:02:25 - mmengine - INFO - Epoch(train) [443][1000/1252] lr: 1.5105e-04 eta: 18:33:20 time: 0.3066 data_time: 0.0041 loss: 1.7423 03/12 18:02:56 - mmengine - INFO - Epoch(train) [443][1100/1252] lr: 1.5105e-04 eta: 18:32:29 time: 0.3115 data_time: 0.0048 loss: 1.7386 03/12 18:03:28 - mmengine - INFO - Epoch(train) [443][1200/1252] lr: 1.5105e-04 eta: 18:31:42 time: 0.2925 data_time: 0.0046 loss: 1.6976 03/12 18:03:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:03:45 - mmengine - INFO - Saving checkpoint at 443 epochs 03/12 18:04:07 - mmengine - INFO - Epoch(val) [443][49/49] accuracy/top1: 66.4440 accuracy/top5: 86.9700 03/12 18:04:41 - mmengine - INFO - Epoch(train) [444][ 100/1252] lr: 1.5105e-04 eta: 18:30:42 time: 0.3283 data_time: 0.0047 loss: 1.7687 03/12 18:05:14 - mmengine - INFO - Epoch(train) [444][ 200/1252] lr: 1.5105e-04 eta: 18:29:57 time: 0.3028 data_time: 0.0043 loss: 1.7168 03/12 18:05:46 - mmengine - INFO - Epoch(train) [444][ 300/1252] lr: 1.5105e-04 eta: 18:29:13 time: 0.2737 data_time: 0.0042 loss: 1.7719 03/12 18:06:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:06:19 - mmengine - INFO - Epoch(train) [444][ 400/1252] lr: 1.5105e-04 eta: 18:28:31 time: 0.3804 data_time: 0.0045 loss: 1.7487 03/12 18:06:51 - mmengine - INFO - Epoch(train) [444][ 500/1252] lr: 1.5105e-04 eta: 18:27:46 time: 0.3733 data_time: 0.0041 loss: 1.7701 03/12 18:07:23 - mmengine - INFO - Epoch(train) [444][ 600/1252] lr: 1.5105e-04 eta: 18:26:59 time: 0.3010 data_time: 0.0046 loss: 1.7667 03/12 18:07:56 - mmengine - INFO - Epoch(train) [444][ 700/1252] lr: 1.5105e-04 eta: 18:26:13 time: 0.3892 data_time: 0.0038 loss: 1.8078 03/12 18:08:27 - mmengine - INFO - Epoch(train) [444][ 800/1252] lr: 1.5105e-04 eta: 18:25:26 time: 0.3234 data_time: 0.0045 loss: 1.7508 03/12 18:09:00 - mmengine - INFO - Epoch(train) [444][ 900/1252] lr: 1.5105e-04 eta: 18:24:42 time: 0.3387 data_time: 0.0081 loss: 1.6840 03/12 18:09:32 - mmengine - INFO - Epoch(train) [444][1000/1252] lr: 1.5105e-04 eta: 18:23:56 time: 0.3442 data_time: 0.0315 loss: 1.8285 03/12 18:10:04 - mmengine - INFO - Epoch(train) [444][1100/1252] lr: 1.5105e-04 eta: 18:23:08 time: 0.2496 data_time: 0.0042 loss: 1.7760 03/12 18:10:36 - mmengine - INFO - Epoch(train) [444][1200/1252] lr: 1.5105e-04 eta: 18:22:23 time: 0.2872 data_time: 0.0045 loss: 1.7871 03/12 18:10:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:10:53 - mmengine - INFO - Saving checkpoint at 444 epochs 03/12 18:11:15 - mmengine - INFO - Epoch(val) [444][49/49] accuracy/top1: 66.5480 accuracy/top5: 86.8680 03/12 18:11:49 - mmengine - INFO - Epoch(train) [445][ 100/1252] lr: 1.4697e-04 eta: 18:21:26 time: 0.3186 data_time: 0.0042 loss: 1.8067 03/12 18:11:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:12:22 - mmengine - INFO - Epoch(train) [445][ 200/1252] lr: 1.4697e-04 eta: 18:20:41 time: 0.3028 data_time: 0.0041 loss: 1.8196 03/12 18:12:54 - mmengine - INFO - Epoch(train) [445][ 300/1252] lr: 1.4697e-04 eta: 18:19:57 time: 0.3319 data_time: 0.0045 loss: 1.8226 03/12 18:13:26 - mmengine - INFO - Epoch(train) [445][ 400/1252] lr: 1.4697e-04 eta: 18:19:12 time: 0.3294 data_time: 0.0351 loss: 1.7368 03/12 18:13:59 - mmengine - INFO - Epoch(train) [445][ 500/1252] lr: 1.4697e-04 eta: 18:18:29 time: 0.3039 data_time: 0.0044 loss: 1.6968 03/12 18:14:30 - mmengine - INFO - Epoch(train) [445][ 600/1252] lr: 1.4697e-04 eta: 18:17:41 time: 0.2806 data_time: 0.0043 loss: 1.8869 03/12 18:15:03 - mmengine - INFO - Epoch(train) [445][ 700/1252] lr: 1.4697e-04 eta: 18:16:59 time: 0.3584 data_time: 0.0039 loss: 1.6932 03/12 18:15:35 - mmengine - INFO - Epoch(train) [445][ 800/1252] lr: 1.4697e-04 eta: 18:16:15 time: 0.3355 data_time: 0.0043 loss: 1.7494 03/12 18:16:07 - mmengine - INFO - Epoch(train) [445][ 900/1252] lr: 1.4697e-04 eta: 18:15:27 time: 0.3315 data_time: 0.0478 loss: 1.8460 03/12 18:16:39 - mmengine - INFO - Epoch(train) [445][1000/1252] lr: 1.4697e-04 eta: 18:14:43 time: 0.3016 data_time: 0.0046 loss: 1.8545 03/12 18:17:11 - mmengine - INFO - Epoch(train) [445][1100/1252] lr: 1.4697e-04 eta: 18:13:57 time: 0.3224 data_time: 0.0229 loss: 1.7881 03/12 18:17:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:17:43 - mmengine - INFO - Epoch(train) [445][1200/1252] lr: 1.4697e-04 eta: 18:13:10 time: 0.3094 data_time: 0.0041 loss: 1.8056 03/12 18:17:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:17:59 - mmengine - INFO - Saving checkpoint at 445 epochs 03/12 18:18:22 - mmengine - INFO - Epoch(val) [445][49/49] accuracy/top1: 66.4780 accuracy/top5: 86.8640 03/12 18:18:56 - mmengine - INFO - Epoch(train) [446][ 100/1252] lr: 1.4697e-04 eta: 18:12:12 time: 0.3322 data_time: 0.0043 loss: 1.7198 03/12 18:19:29 - mmengine - INFO - Epoch(train) [446][ 200/1252] lr: 1.4697e-04 eta: 18:11:27 time: 0.2753 data_time: 0.0046 loss: 1.8217 03/12 18:20:01 - mmengine - INFO - Epoch(train) [446][ 300/1252] lr: 1.4697e-04 eta: 18:10:46 time: 0.3390 data_time: 0.0040 loss: 1.7093 03/12 18:20:34 - mmengine - INFO - Epoch(train) [446][ 400/1252] lr: 1.4697e-04 eta: 18:10:03 time: 0.2839 data_time: 0.0045 loss: 1.7694 03/12 18:21:06 - mmengine - INFO - Epoch(train) [446][ 500/1252] lr: 1.4697e-04 eta: 18:09:18 time: 0.3198 data_time: 0.0617 loss: 1.7658 03/12 18:21:38 - mmengine - INFO - Epoch(train) [446][ 600/1252] lr: 1.4697e-04 eta: 18:08:37 time: 0.3105 data_time: 0.0333 loss: 1.7924 03/12 18:22:11 - mmengine - INFO - Epoch(train) [446][ 700/1252] lr: 1.4697e-04 eta: 18:07:54 time: 0.3368 data_time: 0.0045 loss: 1.7802 03/12 18:22:43 - mmengine - INFO - Epoch(train) [446][ 800/1252] lr: 1.4697e-04 eta: 18:07:11 time: 0.3694 data_time: 0.0050 loss: 1.6626 03/12 18:23:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:23:15 - mmengine - INFO - Epoch(train) [446][ 900/1252] lr: 1.4697e-04 eta: 18:06:26 time: 0.3156 data_time: 0.0046 loss: 1.8868 03/12 18:23:48 - mmengine - INFO - Epoch(train) [446][1000/1252] lr: 1.4697e-04 eta: 18:05:44 time: 0.3580 data_time: 0.0041 loss: 1.7044 03/12 18:24:20 - mmengine - INFO - Epoch(train) [446][1100/1252] lr: 1.4697e-04 eta: 18:05:04 time: 0.3030 data_time: 0.0046 loss: 1.7784 03/12 18:24:53 - mmengine - INFO - Epoch(train) [446][1200/1252] lr: 1.4697e-04 eta: 18:04:22 time: 0.3178 data_time: 0.0044 loss: 1.7203 03/12 18:25:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:25:08 - mmengine - INFO - Saving checkpoint at 446 epochs 03/12 18:25:31 - mmengine - INFO - Epoch(val) [446][49/49] accuracy/top1: 66.6080 accuracy/top5: 86.9840 03/12 18:26:06 - mmengine - INFO - Epoch(train) [447][ 100/1252] lr: 1.4300e-04 eta: 18:03:21 time: 0.3373 data_time: 0.0043 loss: 1.7188 03/12 18:26:38 - mmengine - INFO - Epoch(train) [447][ 200/1252] lr: 1.4300e-04 eta: 18:02:36 time: 0.3425 data_time: 0.1041 loss: 1.7116 03/12 18:27:10 - mmengine - INFO - Epoch(train) [447][ 300/1252] lr: 1.4300e-04 eta: 18:01:53 time: 0.2833 data_time: 0.0051 loss: 1.7788 03/12 18:27:43 - mmengine - INFO - Epoch(train) [447][ 400/1252] lr: 1.4300e-04 eta: 18:01:12 time: 0.3126 data_time: 0.0044 loss: 1.8283 03/12 18:28:15 - mmengine - INFO - Epoch(train) [447][ 500/1252] lr: 1.4300e-04 eta: 18:00:28 time: 0.3319 data_time: 0.0044 loss: 1.8560 03/12 18:28:47 - mmengine - INFO - Epoch(train) [447][ 600/1252] lr: 1.4300e-04 eta: 17:59:49 time: 0.4328 data_time: 0.0041 loss: 1.7612 03/12 18:28:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:29:19 - mmengine - INFO - Epoch(train) [447][ 700/1252] lr: 1.4300e-04 eta: 17:59:05 time: 0.3838 data_time: 0.0043 loss: 1.7328 03/12 18:29:50 - mmengine - INFO - Epoch(train) [447][ 800/1252] lr: 1.4300e-04 eta: 17:58:15 time: 0.3346 data_time: 0.1094 loss: 1.7180 03/12 18:30:23 - mmengine - INFO - Epoch(train) [447][ 900/1252] lr: 1.4300e-04 eta: 17:57:32 time: 0.3354 data_time: 0.0040 loss: 1.7558 03/12 18:30:55 - mmengine - INFO - Epoch(train) [447][1000/1252] lr: 1.4300e-04 eta: 17:56:48 time: 0.2966 data_time: 0.0044 loss: 1.7084 03/12 18:31:27 - mmengine - INFO - Epoch(train) [447][1100/1252] lr: 1.4300e-04 eta: 17:56:07 time: 0.3552 data_time: 0.0042 loss: 1.7041 03/12 18:31:59 - mmengine - INFO - Epoch(train) [447][1200/1252] lr: 1.4300e-04 eta: 17:55:23 time: 0.3348 data_time: 0.0043 loss: 1.8203 03/12 18:32:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:32:15 - mmengine - INFO - Saving checkpoint at 447 epochs 03/12 18:32:39 - mmengine - INFO - Epoch(val) [447][49/49] accuracy/top1: 66.7080 accuracy/top5: 86.9940 03/12 18:33:13 - mmengine - INFO - Epoch(train) [448][ 100/1252] lr: 1.4300e-04 eta: 17:54:22 time: 0.3275 data_time: 0.0445 loss: 1.7196 03/12 18:33:45 - mmengine - INFO - Epoch(train) [448][ 200/1252] lr: 1.4300e-04 eta: 17:53:39 time: 0.3742 data_time: 0.0571 loss: 1.6918 03/12 18:34:17 - mmengine - INFO - Epoch(train) [448][ 300/1252] lr: 1.4300e-04 eta: 17:52:55 time: 0.3010 data_time: 0.0051 loss: 1.6864 03/12 18:34:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:34:49 - mmengine - INFO - Epoch(train) [448][ 400/1252] lr: 1.4300e-04 eta: 17:52:12 time: 0.3073 data_time: 0.0589 loss: 1.7143 03/12 18:35:22 - mmengine - INFO - Epoch(train) [448][ 500/1252] lr: 1.4300e-04 eta: 17:51:30 time: 0.3695 data_time: 0.0045 loss: 1.7006 03/12 18:35:54 - mmengine - INFO - Epoch(train) [448][ 600/1252] lr: 1.4300e-04 eta: 17:50:49 time: 0.3625 data_time: 0.1393 loss: 1.6972 03/12 18:36:27 - mmengine - INFO - Epoch(train) [448][ 700/1252] lr: 1.4300e-04 eta: 17:50:09 time: 0.2820 data_time: 0.0042 loss: 1.7631 03/12 18:36:58 - mmengine - INFO - Epoch(train) [448][ 800/1252] lr: 1.4300e-04 eta: 17:49:23 time: 0.3722 data_time: 0.0042 loss: 1.6991 03/12 18:37:31 - mmengine - INFO - Epoch(train) [448][ 900/1252] lr: 1.4300e-04 eta: 17:48:41 time: 0.3232 data_time: 0.0044 loss: 1.7399 03/12 18:38:03 - mmengine - INFO - Epoch(train) [448][1000/1252] lr: 1.4300e-04 eta: 17:48:02 time: 0.3172 data_time: 0.0040 loss: 1.8434 03/12 18:38:35 - mmengine - INFO - Epoch(train) [448][1100/1252] lr: 1.4300e-04 eta: 17:47:19 time: 0.3494 data_time: 0.0445 loss: 1.7730 03/12 18:39:07 - mmengine - INFO - Epoch(train) [448][1200/1252] lr: 1.4300e-04 eta: 17:46:35 time: 0.2628 data_time: 0.0041 loss: 1.7393 03/12 18:39:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:39:24 - mmengine - INFO - Saving checkpoint at 448 epochs 03/12 18:39:47 - mmengine - INFO - Epoch(val) [448][49/49] accuracy/top1: 66.7140 accuracy/top5: 86.9860 03/12 18:40:20 - mmengine - INFO - Epoch(train) [449][ 100/1252] lr: 1.3914e-04 eta: 17:45:39 time: 0.3345 data_time: 0.0049 loss: 1.8084 03/12 18:40:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:40:53 - mmengine - INFO - Epoch(train) [449][ 200/1252] lr: 1.3914e-04 eta: 17:44:57 time: 0.3075 data_time: 0.0048 loss: 1.8688 03/12 18:41:25 - mmengine - INFO - Epoch(train) [449][ 300/1252] lr: 1.3914e-04 eta: 17:44:16 time: 0.2649 data_time: 0.0050 loss: 1.8814 03/12 18:41:57 - mmengine - INFO - Epoch(train) [449][ 400/1252] lr: 1.3914e-04 eta: 17:43:31 time: 0.3083 data_time: 0.0053 loss: 1.8278 03/12 18:42:30 - mmengine - INFO - Epoch(train) [449][ 500/1252] lr: 1.3914e-04 eta: 17:42:54 time: 0.3051 data_time: 0.0041 loss: 1.6923 03/12 18:43:01 - mmengine - INFO - Epoch(train) [449][ 600/1252] lr: 1.3914e-04 eta: 17:42:09 time: 0.3466 data_time: 0.0930 loss: 1.7251 03/12 18:43:34 - mmengine - INFO - Epoch(train) [449][ 700/1252] lr: 1.3914e-04 eta: 17:41:28 time: 0.3157 data_time: 0.0048 loss: 1.7117 03/12 18:44:06 - mmengine - INFO - Epoch(train) [449][ 800/1252] lr: 1.3914e-04 eta: 17:40:48 time: 0.3094 data_time: 0.0044 loss: 1.9019 03/12 18:44:39 - mmengine - INFO - Epoch(train) [449][ 900/1252] lr: 1.3914e-04 eta: 17:40:12 time: 0.3902 data_time: 0.0053 loss: 1.8000 03/12 18:45:11 - mmengine - INFO - Epoch(train) [449][1000/1252] lr: 1.3914e-04 eta: 17:39:26 time: 0.3890 data_time: 0.0974 loss: 1.7699 03/12 18:45:43 - mmengine - INFO - Epoch(train) [449][1100/1252] lr: 1.3914e-04 eta: 17:38:44 time: 0.3519 data_time: 0.0047 loss: 1.7396 03/12 18:45:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:46:14 - mmengine - INFO - Epoch(train) [449][1200/1252] lr: 1.3914e-04 eta: 17:37:59 time: 0.2509 data_time: 0.0042 loss: 1.7744 03/12 18:46:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:46:31 - mmengine - INFO - Saving checkpoint at 449 epochs 03/12 18:46:54 - mmengine - INFO - Epoch(val) [449][49/49] accuracy/top1: 66.6660 accuracy/top5: 87.0420 03/12 18:47:28 - mmengine - INFO - Epoch(train) [450][ 100/1252] lr: 1.3914e-04 eta: 17:37:04 time: 0.3276 data_time: 0.0050 loss: 1.6629 03/12 18:48:00 - mmengine - INFO - Epoch(train) [450][ 200/1252] lr: 1.3914e-04 eta: 17:36:24 time: 0.3018 data_time: 0.0044 loss: 1.7714 03/12 18:48:32 - mmengine - INFO - Epoch(train) [450][ 300/1252] lr: 1.3914e-04 eta: 17:35:40 time: 0.2838 data_time: 0.0210 loss: 1.7878 03/12 18:49:04 - mmengine - INFO - Epoch(train) [450][ 400/1252] lr: 1.3914e-04 eta: 17:34:59 time: 0.3214 data_time: 0.0042 loss: 1.7743 03/12 18:49:37 - mmengine - INFO - Epoch(train) [450][ 500/1252] lr: 1.3914e-04 eta: 17:34:20 time: 0.3235 data_time: 0.0048 loss: 1.8724 03/12 18:50:09 - mmengine - INFO - Epoch(train) [450][ 600/1252] lr: 1.3914e-04 eta: 17:33:38 time: 0.3397 data_time: 0.0054 loss: 1.6921 03/12 18:50:41 - mmengine - INFO - Epoch(train) [450][ 700/1252] lr: 1.3914e-04 eta: 17:32:55 time: 0.3318 data_time: 0.0051 loss: 1.6997 03/12 18:51:13 - mmengine - INFO - Epoch(train) [450][ 800/1252] lr: 1.3914e-04 eta: 17:32:12 time: 0.3314 data_time: 0.0243 loss: 1.8401 03/12 18:51:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:51:46 - mmengine - INFO - Epoch(train) [450][ 900/1252] lr: 1.3914e-04 eta: 17:31:35 time: 0.3304 data_time: 0.0154 loss: 1.7515 03/12 18:52:18 - mmengine - INFO - Epoch(train) [450][1000/1252] lr: 1.3914e-04 eta: 17:30:54 time: 0.3649 data_time: 0.0042 loss: 1.7682 03/12 18:52:49 - mmengine - INFO - Epoch(train) [450][1100/1252] lr: 1.3914e-04 eta: 17:30:07 time: 0.2894 data_time: 0.0043 loss: 1.7138 03/12 18:53:21 - mmengine - INFO - Epoch(train) [450][1200/1252] lr: 1.3914e-04 eta: 17:29:26 time: 0.3170 data_time: 0.0042 loss: 1.5893 03/12 18:53:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:53:37 - mmengine - INFO - Saving checkpoint at 450 epochs 03/12 18:54:00 - mmengine - INFO - Epoch(val) [450][49/49] accuracy/top1: 66.3640 accuracy/top5: 86.7960 03/12 18:54:35 - mmengine - INFO - Epoch(train) [451][ 100/1252] lr: 1.3538e-04 eta: 17:28:32 time: 0.3085 data_time: 0.1480 loss: 1.6605 03/12 18:55:06 - mmengine - INFO - Epoch(train) [451][ 200/1252] lr: 1.3538e-04 eta: 17:27:50 time: 0.3164 data_time: 0.0278 loss: 1.7531 03/12 18:55:39 - mmengine - INFO - Epoch(train) [451][ 300/1252] lr: 1.3538e-04 eta: 17:27:13 time: 0.4149 data_time: 0.0041 loss: 1.7160 03/12 18:56:11 - mmengine - INFO - Epoch(train) [451][ 400/1252] lr: 1.3538e-04 eta: 17:26:28 time: 0.2837 data_time: 0.0272 loss: 1.7525 03/12 18:56:43 - mmengine - INFO - Epoch(train) [451][ 500/1252] lr: 1.3538e-04 eta: 17:25:47 time: 0.2862 data_time: 0.0041 loss: 1.8042 03/12 18:57:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 18:57:16 - mmengine - INFO - Epoch(train) [451][ 600/1252] lr: 1.3538e-04 eta: 17:25:09 time: 0.3561 data_time: 0.0040 loss: 1.7887 03/12 18:57:48 - mmengine - INFO - Epoch(train) [451][ 700/1252] lr: 1.3538e-04 eta: 17:24:28 time: 0.2983 data_time: 0.0039 loss: 1.7526 03/12 18:58:20 - mmengine - INFO - Epoch(train) [451][ 800/1252] lr: 1.3538e-04 eta: 17:23:49 time: 0.3158 data_time: 0.0049 loss: 1.7916 03/12 18:58:52 - mmengine - INFO - Epoch(train) [451][ 900/1252] lr: 1.3538e-04 eta: 17:23:07 time: 0.3466 data_time: 0.0040 loss: 1.7585 03/12 18:59:24 - mmengine - INFO - Epoch(train) [451][1000/1252] lr: 1.3538e-04 eta: 17:22:28 time: 0.2973 data_time: 0.0043 loss: 1.8315 03/12 18:59:56 - mmengine - INFO - Epoch(train) [451][1100/1252] lr: 1.3538e-04 eta: 17:21:44 time: 0.2883 data_time: 0.0044 loss: 1.6787 03/12 19:00:28 - mmengine - INFO - Epoch(train) [451][1200/1252] lr: 1.3538e-04 eta: 17:21:04 time: 0.2728 data_time: 0.0043 loss: 1.7935 03/12 19:00:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:00:44 - mmengine - INFO - Saving checkpoint at 451 epochs 03/12 19:01:07 - mmengine - INFO - Epoch(val) [451][49/49] accuracy/top1: 66.6640 accuracy/top5: 86.8860 03/12 19:01:43 - mmengine - INFO - Epoch(train) [452][ 100/1252] lr: 1.3538e-04 eta: 17:20:14 time: 0.3894 data_time: 0.2652 loss: 1.7480 03/12 19:02:14 - mmengine - INFO - Epoch(train) [452][ 200/1252] lr: 1.3538e-04 eta: 17:19:28 time: 0.3394 data_time: 0.0248 loss: 1.7756 03/12 19:02:46 - mmengine - INFO - Epoch(train) [452][ 300/1252] lr: 1.3538e-04 eta: 17:18:50 time: 0.3428 data_time: 0.0497 loss: 1.7972 03/12 19:03:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:03:18 - mmengine - INFO - Epoch(train) [452][ 400/1252] lr: 1.3538e-04 eta: 17:18:08 time: 0.3860 data_time: 0.0041 loss: 1.7707 03/12 19:03:50 - mmengine - INFO - Epoch(train) [452][ 500/1252] lr: 1.3538e-04 eta: 17:17:25 time: 0.3172 data_time: 0.0045 loss: 1.8415 03/12 19:04:22 - mmengine - INFO - Epoch(train) [452][ 600/1252] lr: 1.3538e-04 eta: 17:16:44 time: 0.2808 data_time: 0.0043 loss: 1.7625 03/12 19:04:55 - mmengine - INFO - Epoch(train) [452][ 700/1252] lr: 1.3538e-04 eta: 17:16:07 time: 0.3692 data_time: 0.1291 loss: 1.8662 03/12 19:05:26 - mmengine - INFO - Epoch(train) [452][ 800/1252] lr: 1.3538e-04 eta: 17:15:24 time: 0.3082 data_time: 0.1590 loss: 1.7401 03/12 19:05:59 - mmengine - INFO - Epoch(train) [452][ 900/1252] lr: 1.3538e-04 eta: 17:14:48 time: 0.3349 data_time: 0.0048 loss: 1.7024 03/12 19:06:30 - mmengine - INFO - Epoch(train) [452][1000/1252] lr: 1.3538e-04 eta: 17:14:03 time: 0.3014 data_time: 0.0048 loss: 1.8948 03/12 19:07:03 - mmengine - INFO - Epoch(train) [452][1100/1252] lr: 1.3538e-04 eta: 17:13:24 time: 0.3719 data_time: 0.0128 loss: 1.7468 03/12 19:07:35 - mmengine - INFO - Epoch(train) [452][1200/1252] lr: 1.3538e-04 eta: 17:12:45 time: 0.2889 data_time: 0.0043 loss: 1.7941 03/12 19:07:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:07:51 - mmengine - INFO - Saving checkpoint at 452 epochs 03/12 19:08:14 - mmengine - INFO - Epoch(val) [452][49/49] accuracy/top1: 66.6800 accuracy/top5: 86.9080 03/12 19:08:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:08:48 - mmengine - INFO - Epoch(train) [453][ 100/1252] lr: 1.3173e-04 eta: 17:11:52 time: 0.3137 data_time: 0.0403 loss: 1.8281 03/12 19:09:21 - mmengine - INFO - Epoch(train) [453][ 200/1252] lr: 1.3173e-04 eta: 17:11:12 time: 0.3650 data_time: 0.0292 loss: 1.7737 03/12 19:09:52 - mmengine - INFO - Epoch(train) [453][ 300/1252] lr: 1.3173e-04 eta: 17:10:30 time: 0.3777 data_time: 0.0043 loss: 1.8538 03/12 19:10:24 - mmengine - INFO - Epoch(train) [453][ 400/1252] lr: 1.3173e-04 eta: 17:09:48 time: 0.2905 data_time: 0.0047 loss: 1.7758 03/12 19:10:56 - mmengine - INFO - Epoch(train) [453][ 500/1252] lr: 1.3173e-04 eta: 17:09:07 time: 0.2658 data_time: 0.0047 loss: 1.7204 03/12 19:11:28 - mmengine - INFO - Epoch(train) [453][ 600/1252] lr: 1.3173e-04 eta: 17:08:28 time: 0.3744 data_time: 0.0042 loss: 1.7321 03/12 19:12:00 - mmengine - INFO - Epoch(train) [453][ 700/1252] lr: 1.3173e-04 eta: 17:07:49 time: 0.3269 data_time: 0.0043 loss: 1.6736 03/12 19:12:32 - mmengine - INFO - Epoch(train) [453][ 800/1252] lr: 1.3173e-04 eta: 17:07:07 time: 0.2662 data_time: 0.0041 loss: 1.7461 03/12 19:13:04 - mmengine - INFO - Epoch(train) [453][ 900/1252] lr: 1.3173e-04 eta: 17:06:27 time: 0.2909 data_time: 0.0045 loss: 1.7943 03/12 19:13:37 - mmengine - INFO - Epoch(train) [453][1000/1252] lr: 1.3173e-04 eta: 17:05:48 time: 0.3223 data_time: 0.0042 loss: 1.7487 03/12 19:14:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:14:09 - mmengine - INFO - Epoch(train) [453][1100/1252] lr: 1.3173e-04 eta: 17:05:08 time: 0.3112 data_time: 0.0529 loss: 1.7572 03/12 19:14:41 - mmengine - INFO - Epoch(train) [453][1200/1252] lr: 1.3173e-04 eta: 17:04:30 time: 0.3085 data_time: 0.0042 loss: 1.7288 03/12 19:14:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:14:57 - mmengine - INFO - Saving checkpoint at 453 epochs 03/12 19:15:19 - mmengine - INFO - Epoch(val) [453][49/49] accuracy/top1: 66.7080 accuracy/top5: 87.0060 03/12 19:15:54 - mmengine - INFO - Epoch(train) [454][ 100/1252] lr: 1.3173e-04 eta: 17:03:37 time: 0.3121 data_time: 0.0041 loss: 1.7532 03/12 19:16:26 - mmengine - INFO - Epoch(train) [454][ 200/1252] lr: 1.3173e-04 eta: 17:02:56 time: 0.2951 data_time: 0.1413 loss: 1.7931 03/12 19:16:58 - mmengine - INFO - Epoch(train) [454][ 300/1252] lr: 1.3173e-04 eta: 17:02:16 time: 0.3144 data_time: 0.0044 loss: 1.8189 03/12 19:17:30 - mmengine - INFO - Epoch(train) [454][ 400/1252] lr: 1.3173e-04 eta: 17:01:37 time: 0.3532 data_time: 0.0045 loss: 1.7692 03/12 19:18:02 - mmengine - INFO - Epoch(train) [454][ 500/1252] lr: 1.3173e-04 eta: 17:00:57 time: 0.3578 data_time: 0.0040 loss: 1.8355 03/12 19:18:36 - mmengine - INFO - Epoch(train) [454][ 600/1252] lr: 1.3173e-04 eta: 17:00:24 time: 0.3320 data_time: 0.0035 loss: 1.6884 03/12 19:19:08 - mmengine - INFO - Epoch(train) [454][ 700/1252] lr: 1.3173e-04 eta: 16:59:42 time: 0.3427 data_time: 0.0050 loss: 1.8053 03/12 19:19:40 - mmengine - INFO - Epoch(train) [454][ 800/1252] lr: 1.3173e-04 eta: 16:59:04 time: 0.3493 data_time: 0.0044 loss: 1.7069 03/12 19:19:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:20:12 - mmengine - INFO - Epoch(train) [454][ 900/1252] lr: 1.3173e-04 eta: 16:58:23 time: 0.3139 data_time: 0.0043 loss: 1.8096 03/12 19:20:44 - mmengine - INFO - Epoch(train) [454][1000/1252] lr: 1.3173e-04 eta: 16:57:46 time: 0.3328 data_time: 0.0669 loss: 1.6780 03/12 19:21:17 - mmengine - INFO - Epoch(train) [454][1100/1252] lr: 1.3173e-04 eta: 16:57:08 time: 0.3067 data_time: 0.0043 loss: 1.7538 03/12 19:21:49 - mmengine - INFO - Epoch(train) [454][1200/1252] lr: 1.3173e-04 eta: 16:56:29 time: 0.3143 data_time: 0.0048 loss: 1.8191 03/12 19:22:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:22:05 - mmengine - INFO - Saving checkpoint at 454 epochs 03/12 19:22:28 - mmengine - INFO - Epoch(val) [454][49/49] accuracy/top1: 66.5960 accuracy/top5: 87.0120 03/12 19:23:02 - mmengine - INFO - Epoch(train) [455][ 100/1252] lr: 1.2817e-04 eta: 16:55:36 time: 0.3216 data_time: 0.0040 loss: 1.7501 03/12 19:23:34 - mmengine - INFO - Epoch(train) [455][ 200/1252] lr: 1.2817e-04 eta: 16:54:55 time: 0.3369 data_time: 0.0047 loss: 1.7948 03/12 19:24:06 - mmengine - INFO - Epoch(train) [455][ 300/1252] lr: 1.2817e-04 eta: 16:54:16 time: 0.2796 data_time: 0.0054 loss: 1.7471 03/12 19:24:38 - mmengine - INFO - Epoch(train) [455][ 400/1252] lr: 1.2817e-04 eta: 16:53:38 time: 0.3234 data_time: 0.0043 loss: 1.8193 03/12 19:25:10 - mmengine - INFO - Epoch(train) [455][ 500/1252] lr: 1.2817e-04 eta: 16:52:57 time: 0.3070 data_time: 0.0044 loss: 1.7856 03/12 19:25:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:25:43 - mmengine - INFO - Epoch(train) [455][ 600/1252] lr: 1.2817e-04 eta: 16:52:22 time: 0.3549 data_time: 0.0051 loss: 1.6129 03/12 19:26:15 - mmengine - INFO - Epoch(train) [455][ 700/1252] lr: 1.2817e-04 eta: 16:51:41 time: 0.3048 data_time: 0.0049 loss: 1.7007 03/12 19:26:47 - mmengine - INFO - Epoch(train) [455][ 800/1252] lr: 1.2817e-04 eta: 16:51:03 time: 0.3674 data_time: 0.0041 loss: 1.7328 03/12 19:27:19 - mmengine - INFO - Epoch(train) [455][ 900/1252] lr: 1.2817e-04 eta: 16:50:23 time: 0.3420 data_time: 0.0136 loss: 1.7342 03/12 19:27:51 - mmengine - INFO - Epoch(train) [455][1000/1252] lr: 1.2817e-04 eta: 16:49:45 time: 0.3209 data_time: 0.0043 loss: 1.7749 03/12 19:28:24 - mmengine - INFO - Epoch(train) [455][1100/1252] lr: 1.2817e-04 eta: 16:49:07 time: 0.3356 data_time: 0.0108 loss: 1.7047 03/12 19:28:56 - mmengine - INFO - Epoch(train) [455][1200/1252] lr: 1.2817e-04 eta: 16:48:27 time: 0.3197 data_time: 0.0048 loss: 1.9520 03/12 19:29:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:29:12 - mmengine - INFO - Saving checkpoint at 455 epochs 03/12 19:29:34 - mmengine - INFO - Epoch(val) [455][49/49] accuracy/top1: 66.6140 accuracy/top5: 86.8900 03/12 19:30:09 - mmengine - INFO - Epoch(train) [456][ 100/1252] lr: 1.2817e-04 eta: 16:47:35 time: 0.3316 data_time: 0.0039 loss: 1.8862 03/12 19:30:41 - mmengine - INFO - Epoch(train) [456][ 200/1252] lr: 1.2817e-04 eta: 16:46:56 time: 0.3598 data_time: 0.0900 loss: 1.8374 03/12 19:31:13 - mmengine - INFO - Epoch(train) [456][ 300/1252] lr: 1.2817e-04 eta: 16:46:19 time: 0.3259 data_time: 0.0045 loss: 1.7151 03/12 19:31:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:31:45 - mmengine - INFO - Epoch(train) [456][ 400/1252] lr: 1.2817e-04 eta: 16:45:38 time: 0.3083 data_time: 0.0045 loss: 1.7604 03/12 19:32:18 - mmengine - INFO - Epoch(train) [456][ 500/1252] lr: 1.2817e-04 eta: 16:45:03 time: 0.3669 data_time: 0.0040 loss: 1.7802 03/12 19:32:49 - mmengine - INFO - Epoch(train) [456][ 600/1252] lr: 1.2817e-04 eta: 16:44:20 time: 0.2370 data_time: 0.0042 loss: 1.6682 03/12 19:33:22 - mmengine - INFO - Epoch(train) [456][ 700/1252] lr: 1.2817e-04 eta: 16:43:44 time: 0.3123 data_time: 0.0049 loss: 1.7639 03/12 19:33:54 - mmengine - INFO - Epoch(train) [456][ 800/1252] lr: 1.2817e-04 eta: 16:43:07 time: 0.2744 data_time: 0.0044 loss: 1.7857 03/12 19:34:26 - mmengine - INFO - Epoch(train) [456][ 900/1252] lr: 1.2817e-04 eta: 16:42:28 time: 0.2787 data_time: 0.0047 loss: 1.7933 03/12 19:34:59 - mmengine - INFO - Epoch(train) [456][1000/1252] lr: 1.2817e-04 eta: 16:41:51 time: 0.3977 data_time: 0.0200 loss: 1.8199 03/12 19:35:31 - mmengine - INFO - Epoch(train) [456][1100/1252] lr: 1.2817e-04 eta: 16:41:12 time: 0.2803 data_time: 0.0076 loss: 1.7605 03/12 19:36:03 - mmengine - INFO - Epoch(train) [456][1200/1252] lr: 1.2817e-04 eta: 16:40:32 time: 0.2781 data_time: 0.0042 loss: 1.7513 03/12 19:36:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:36:19 - mmengine - INFO - Saving checkpoint at 456 epochs 03/12 19:36:42 - mmengine - INFO - Epoch(val) [456][49/49] accuracy/top1: 66.5500 accuracy/top5: 86.8560 03/12 19:37:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:37:17 - mmengine - INFO - Epoch(train) [457][ 100/1252] lr: 1.2471e-04 eta: 16:39:42 time: 0.3104 data_time: 0.0044 loss: 1.7003 03/12 19:37:49 - mmengine - INFO - Epoch(train) [457][ 200/1252] lr: 1.2471e-04 eta: 16:39:02 time: 0.3244 data_time: 0.0046 loss: 1.8756 03/12 19:38:21 - mmengine - INFO - Epoch(train) [457][ 300/1252] lr: 1.2471e-04 eta: 16:38:27 time: 0.3424 data_time: 0.0047 loss: 1.7413 03/12 19:38:54 - mmengine - INFO - Epoch(train) [457][ 400/1252] lr: 1.2471e-04 eta: 16:37:49 time: 0.3820 data_time: 0.1245 loss: 1.7271 03/12 19:39:25 - mmengine - INFO - Epoch(train) [457][ 500/1252] lr: 1.2471e-04 eta: 16:37:08 time: 0.2931 data_time: 0.0044 loss: 1.7460 03/12 19:39:58 - mmengine - INFO - Epoch(train) [457][ 600/1252] lr: 1.2471e-04 eta: 16:36:31 time: 0.2725 data_time: 0.0043 loss: 1.8151 03/12 19:40:30 - mmengine - INFO - Epoch(train) [457][ 700/1252] lr: 1.2471e-04 eta: 16:35:51 time: 0.3036 data_time: 0.0052 loss: 1.7582 03/12 19:41:01 - mmengine - INFO - Epoch(train) [457][ 800/1252] lr: 1.2471e-04 eta: 16:35:12 time: 0.2857 data_time: 0.0274 loss: 1.7841 03/12 19:41:34 - mmengine - INFO - Epoch(train) [457][ 900/1252] lr: 1.2471e-04 eta: 16:34:34 time: 0.2819 data_time: 0.0044 loss: 1.7985 03/12 19:42:06 - mmengine - INFO - Epoch(train) [457][1000/1252] lr: 1.2471e-04 eta: 16:33:57 time: 0.3380 data_time: 0.0046 loss: 1.7637 03/12 19:42:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:42:38 - mmengine - INFO - Epoch(train) [457][1100/1252] lr: 1.2471e-04 eta: 16:33:19 time: 0.3163 data_time: 0.0347 loss: 1.8388 03/12 19:43:11 - mmengine - INFO - Epoch(train) [457][1200/1252] lr: 1.2471e-04 eta: 16:32:42 time: 0.3110 data_time: 0.0048 loss: 1.7228 03/12 19:43:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:43:28 - mmengine - INFO - Saving checkpoint at 457 epochs 03/12 19:43:51 - mmengine - INFO - Epoch(val) [457][49/49] accuracy/top1: 66.6140 accuracy/top5: 86.9680 03/12 19:44:26 - mmengine - INFO - Epoch(train) [458][ 100/1252] lr: 1.2471e-04 eta: 16:31:53 time: 0.3167 data_time: 0.0037 loss: 1.8892 03/12 19:44:58 - mmengine - INFO - Epoch(train) [458][ 200/1252] lr: 1.2471e-04 eta: 16:31:14 time: 0.3281 data_time: 0.0046 loss: 1.6941 03/12 19:45:30 - mmengine - INFO - Epoch(train) [458][ 300/1252] lr: 1.2471e-04 eta: 16:30:36 time: 0.2999 data_time: 0.0043 loss: 1.8078 03/12 19:46:02 - mmengine - INFO - Epoch(train) [458][ 400/1252] lr: 1.2471e-04 eta: 16:29:59 time: 0.3091 data_time: 0.0045 loss: 1.7583 03/12 19:46:35 - mmengine - INFO - Epoch(train) [458][ 500/1252] lr: 1.2471e-04 eta: 16:29:22 time: 0.2629 data_time: 0.0048 loss: 1.7660 03/12 19:47:07 - mmengine - INFO - Epoch(train) [458][ 600/1252] lr: 1.2471e-04 eta: 16:28:43 time: 0.3073 data_time: 0.0048 loss: 1.7930 03/12 19:47:38 - mmengine - INFO - Epoch(train) [458][ 700/1252] lr: 1.2471e-04 eta: 16:28:03 time: 0.2746 data_time: 0.0049 loss: 1.8167 03/12 19:48:11 - mmengine - INFO - Epoch(train) [458][ 800/1252] lr: 1.2471e-04 eta: 16:27:28 time: 0.3606 data_time: 0.0041 loss: 1.7190 03/12 19:48:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:48:43 - mmengine - INFO - Epoch(train) [458][ 900/1252] lr: 1.2471e-04 eta: 16:26:50 time: 0.3019 data_time: 0.0045 loss: 1.7953 03/12 19:49:16 - mmengine - INFO - Epoch(train) [458][1000/1252] lr: 1.2471e-04 eta: 16:26:12 time: 0.2929 data_time: 0.0049 loss: 1.7631 03/12 19:49:47 - mmengine - INFO - Epoch(train) [458][1100/1252] lr: 1.2471e-04 eta: 16:25:33 time: 0.3164 data_time: 0.0045 loss: 1.7242 03/12 19:50:20 - mmengine - INFO - Epoch(train) [458][1200/1252] lr: 1.2471e-04 eta: 16:24:57 time: 0.3317 data_time: 0.0591 loss: 1.6974 03/12 19:50:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:50:36 - mmengine - INFO - Saving checkpoint at 458 epochs 03/12 19:50:58 - mmengine - INFO - Epoch(val) [458][49/49] accuracy/top1: 66.7280 accuracy/top5: 86.9580 03/12 19:51:32 - mmengine - INFO - Epoch(train) [459][ 100/1252] lr: 1.2134e-04 eta: 16:24:02 time: 0.3285 data_time: 0.0042 loss: 1.8129 03/12 19:52:05 - mmengine - INFO - Epoch(train) [459][ 200/1252] lr: 1.2134e-04 eta: 16:23:27 time: 0.3978 data_time: 0.0577 loss: 1.8682 03/12 19:52:37 - mmengine - INFO - Epoch(train) [459][ 300/1252] lr: 1.2134e-04 eta: 16:22:49 time: 0.2878 data_time: 0.0039 loss: 1.7701 03/12 19:53:09 - mmengine - INFO - Epoch(train) [459][ 400/1252] lr: 1.2134e-04 eta: 16:22:11 time: 0.3258 data_time: 0.0039 loss: 1.7674 03/12 19:53:41 - mmengine - INFO - Epoch(train) [459][ 500/1252] lr: 1.2134e-04 eta: 16:21:32 time: 0.3432 data_time: 0.0049 loss: 1.7234 03/12 19:54:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:54:14 - mmengine - INFO - Epoch(train) [459][ 600/1252] lr: 1.2134e-04 eta: 16:20:57 time: 0.2984 data_time: 0.0039 loss: 1.7681 03/12 19:54:46 - mmengine - INFO - Epoch(train) [459][ 700/1252] lr: 1.2134e-04 eta: 16:20:19 time: 0.3219 data_time: 0.0042 loss: 1.8729 03/12 19:55:18 - mmengine - INFO - Epoch(train) [459][ 800/1252] lr: 1.2134e-04 eta: 16:19:40 time: 0.3002 data_time: 0.0046 loss: 1.9432 03/12 19:55:50 - mmengine - INFO - Epoch(train) [459][ 900/1252] lr: 1.2134e-04 eta: 16:19:02 time: 0.3281 data_time: 0.0042 loss: 1.7481 03/12 19:56:22 - mmengine - INFO - Epoch(train) [459][1000/1252] lr: 1.2134e-04 eta: 16:18:25 time: 0.3206 data_time: 0.0219 loss: 1.8189 03/12 19:56:55 - mmengine - INFO - Epoch(train) [459][1100/1252] lr: 1.2134e-04 eta: 16:17:49 time: 0.3848 data_time: 0.0833 loss: 1.7239 03/12 19:57:27 - mmengine - INFO - Epoch(train) [459][1200/1252] lr: 1.2134e-04 eta: 16:17:10 time: 0.3332 data_time: 0.1584 loss: 1.8884 03/12 19:57:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 19:57:43 - mmengine - INFO - Saving checkpoint at 459 epochs 03/12 19:58:05 - mmengine - INFO - Epoch(val) [459][49/49] accuracy/top1: 66.8320 accuracy/top5: 87.0020 03/12 19:58:41 - mmengine - INFO - Epoch(train) [460][ 100/1252] lr: 1.2134e-04 eta: 16:16:23 time: 0.3541 data_time: 0.0044 loss: 1.7021 03/12 19:59:14 - mmengine - INFO - Epoch(train) [460][ 200/1252] lr: 1.2134e-04 eta: 16:15:49 time: 0.3502 data_time: 0.0041 loss: 1.7733 03/12 19:59:47 - mmengine - INFO - Epoch(train) [460][ 300/1252] lr: 1.2134e-04 eta: 16:15:14 time: 0.3374 data_time: 0.0051 loss: 1.7159 03/12 19:59:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:00:20 - mmengine - INFO - Epoch(train) [460][ 400/1252] lr: 1.2134e-04 eta: 16:14:39 time: 0.2788 data_time: 0.0042 loss: 1.7876 03/12 20:00:53 - mmengine - INFO - Epoch(train) [460][ 500/1252] lr: 1.2134e-04 eta: 16:14:04 time: 0.3299 data_time: 0.1427 loss: 1.7622 03/12 20:01:26 - mmengine - INFO - Epoch(train) [460][ 600/1252] lr: 1.2134e-04 eta: 16:13:30 time: 0.3793 data_time: 0.0064 loss: 1.7930 03/12 20:01:59 - mmengine - INFO - Epoch(train) [460][ 700/1252] lr: 1.2134e-04 eta: 16:12:56 time: 0.2839 data_time: 0.0046 loss: 1.8893 03/12 20:02:32 - mmengine - INFO - Epoch(train) [460][ 800/1252] lr: 1.2134e-04 eta: 16:12:20 time: 0.2802 data_time: 0.0052 loss: 1.6448 03/12 20:03:06 - mmengine - INFO - Epoch(train) [460][ 900/1252] lr: 1.2134e-04 eta: 16:11:48 time: 0.2766 data_time: 0.0050 loss: 1.6787 03/12 20:03:39 - mmengine - INFO - Epoch(train) [460][1000/1252] lr: 1.2134e-04 eta: 16:11:14 time: 0.2673 data_time: 0.0039 loss: 1.7359 03/12 20:04:12 - mmengine - INFO - Epoch(train) [460][1100/1252] lr: 1.2134e-04 eta: 16:10:39 time: 0.3544 data_time: 0.0046 loss: 1.7599 03/12 20:04:45 - mmengine - INFO - Epoch(train) [460][1200/1252] lr: 1.2134e-04 eta: 16:10:05 time: 0.3582 data_time: 0.0761 loss: 1.8393 03/12 20:05:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:05:01 - mmengine - INFO - Saving checkpoint at 460 epochs 03/12 20:05:24 - mmengine - INFO - Epoch(val) [460][49/49] accuracy/top1: 66.4760 accuracy/top5: 86.9980 03/12 20:05:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:05:58 - mmengine - INFO - Epoch(train) [461][ 100/1252] lr: 1.1807e-04 eta: 16:09:15 time: 0.2805 data_time: 0.0047 loss: 1.7755 03/12 20:06:30 - mmengine - INFO - Epoch(train) [461][ 200/1252] lr: 1.1807e-04 eta: 16:08:37 time: 0.3453 data_time: 0.0597 loss: 1.8050 03/12 20:07:02 - mmengine - INFO - Epoch(train) [461][ 300/1252] lr: 1.1807e-04 eta: 16:07:57 time: 0.2754 data_time: 0.0044 loss: 1.7460 03/12 20:07:35 - mmengine - INFO - Epoch(train) [461][ 400/1252] lr: 1.1807e-04 eta: 16:07:22 time: 0.3553 data_time: 0.0326 loss: 1.7734 03/12 20:08:07 - mmengine - INFO - Epoch(train) [461][ 500/1252] lr: 1.1807e-04 eta: 16:06:45 time: 0.3729 data_time: 0.0045 loss: 1.8049 03/12 20:08:39 - mmengine - INFO - Epoch(train) [461][ 600/1252] lr: 1.1807e-04 eta: 16:06:08 time: 0.3134 data_time: 0.0046 loss: 1.7080 03/12 20:09:12 - mmengine - INFO - Epoch(train) [461][ 700/1252] lr: 1.1807e-04 eta: 16:05:32 time: 0.3038 data_time: 0.0051 loss: 1.7208 03/12 20:09:44 - mmengine - INFO - Epoch(train) [461][ 800/1252] lr: 1.1807e-04 eta: 16:04:53 time: 0.2795 data_time: 0.0052 loss: 1.8220 03/12 20:10:16 - mmengine - INFO - Epoch(train) [461][ 900/1252] lr: 1.1807e-04 eta: 16:04:16 time: 0.3238 data_time: 0.0482 loss: 1.7750 03/12 20:10:49 - mmengine - INFO - Epoch(train) [461][1000/1252] lr: 1.1807e-04 eta: 16:03:42 time: 0.3978 data_time: 0.0111 loss: 1.8057 03/12 20:11:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:11:20 - mmengine - INFO - Epoch(train) [461][1100/1252] lr: 1.1807e-04 eta: 16:03:03 time: 0.2792 data_time: 0.0044 loss: 1.8767 03/12 20:11:53 - mmengine - INFO - Epoch(train) [461][1200/1252] lr: 1.1807e-04 eta: 16:02:27 time: 0.3990 data_time: 0.0050 loss: 1.8884 03/12 20:12:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:12:09 - mmengine - INFO - Saving checkpoint at 461 epochs 03/12 20:12:31 - mmengine - INFO - Epoch(val) [461][49/49] accuracy/top1: 66.7380 accuracy/top5: 86.9880 03/12 20:13:06 - mmengine - INFO - Epoch(train) [462][ 100/1252] lr: 1.1807e-04 eta: 16:01:34 time: 0.2430 data_time: 0.0043 loss: 1.7894 03/12 20:13:39 - mmengine - INFO - Epoch(train) [462][ 200/1252] lr: 1.1807e-04 eta: 16:00:59 time: 0.2895 data_time: 0.0041 loss: 1.8447 03/12 20:14:10 - mmengine - INFO - Epoch(train) [462][ 300/1252] lr: 1.1807e-04 eta: 16:00:20 time: 0.3066 data_time: 0.1614 loss: 1.7964 03/12 20:14:43 - mmengine - INFO - Epoch(train) [462][ 400/1252] lr: 1.1807e-04 eta: 15:59:44 time: 0.3476 data_time: 0.0041 loss: 1.7961 03/12 20:15:15 - mmengine - INFO - Epoch(train) [462][ 500/1252] lr: 1.1807e-04 eta: 15:59:06 time: 0.3087 data_time: 0.0045 loss: 1.7501 03/12 20:15:47 - mmengine - INFO - Epoch(train) [462][ 600/1252] lr: 1.1807e-04 eta: 15:58:30 time: 0.3056 data_time: 0.0043 loss: 1.7892 03/12 20:16:19 - mmengine - INFO - Epoch(train) [462][ 700/1252] lr: 1.1807e-04 eta: 15:57:52 time: 0.2949 data_time: 0.0044 loss: 1.7351 03/12 20:16:51 - mmengine - INFO - Epoch(train) [462][ 800/1252] lr: 1.1807e-04 eta: 15:57:16 time: 0.3192 data_time: 0.0042 loss: 1.7335 03/12 20:17:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:17:24 - mmengine - INFO - Epoch(train) [462][ 900/1252] lr: 1.1807e-04 eta: 15:56:39 time: 0.3233 data_time: 0.0051 loss: 1.8108 03/12 20:17:56 - mmengine - INFO - Epoch(train) [462][1000/1252] lr: 1.1807e-04 eta: 15:56:02 time: 0.2920 data_time: 0.0043 loss: 1.7516 03/12 20:18:28 - mmengine - INFO - Epoch(train) [462][1100/1252] lr: 1.1807e-04 eta: 15:55:24 time: 0.3075 data_time: 0.0488 loss: 1.8289 03/12 20:19:00 - mmengine - INFO - Epoch(train) [462][1200/1252] lr: 1.1807e-04 eta: 15:54:48 time: 0.3289 data_time: 0.0500 loss: 1.7445 03/12 20:19:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:19:16 - mmengine - INFO - Saving checkpoint at 462 epochs 03/12 20:19:39 - mmengine - INFO - Epoch(val) [462][49/49] accuracy/top1: 66.6980 accuracy/top5: 87.1200 03/12 20:20:13 - mmengine - INFO - Epoch(train) [463][ 100/1252] lr: 1.1488e-04 eta: 15:53:55 time: 0.3059 data_time: 0.1360 loss: 1.8334 03/12 20:20:46 - mmengine - INFO - Epoch(train) [463][ 200/1252] lr: 1.1488e-04 eta: 15:53:19 time: 0.3747 data_time: 0.0048 loss: 1.7449 03/12 20:21:18 - mmengine - INFO - Epoch(train) [463][ 300/1252] lr: 1.1488e-04 eta: 15:52:43 time: 0.3315 data_time: 0.0040 loss: 1.7711 03/12 20:21:50 - mmengine - INFO - Epoch(train) [463][ 400/1252] lr: 1.1488e-04 eta: 15:52:07 time: 0.3214 data_time: 0.0047 loss: 1.6820 03/12 20:22:23 - mmengine - INFO - Epoch(train) [463][ 500/1252] lr: 1.1488e-04 eta: 15:51:31 time: 0.3618 data_time: 0.0044 loss: 1.8089 03/12 20:22:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:22:55 - mmengine - INFO - Epoch(train) [463][ 600/1252] lr: 1.1488e-04 eta: 15:50:54 time: 0.3183 data_time: 0.0043 loss: 1.7043 03/12 20:23:27 - mmengine - INFO - Epoch(train) [463][ 700/1252] lr: 1.1488e-04 eta: 15:50:18 time: 0.3356 data_time: 0.0561 loss: 1.8542 03/12 20:24:00 - mmengine - INFO - Epoch(train) [463][ 800/1252] lr: 1.1488e-04 eta: 15:49:41 time: 0.3165 data_time: 0.0042 loss: 1.7174 03/12 20:24:32 - mmengine - INFO - Epoch(train) [463][ 900/1252] lr: 1.1488e-04 eta: 15:49:05 time: 0.3542 data_time: 0.0229 loss: 1.7579 03/12 20:25:04 - mmengine - INFO - Epoch(train) [463][1000/1252] lr: 1.1488e-04 eta: 15:48:28 time: 0.3183 data_time: 0.0619 loss: 1.7191 03/12 20:25:36 - mmengine - INFO - Epoch(train) [463][1100/1252] lr: 1.1488e-04 eta: 15:47:52 time: 0.3184 data_time: 0.1133 loss: 1.8443 03/12 20:26:09 - mmengine - INFO - Epoch(train) [463][1200/1252] lr: 1.1488e-04 eta: 15:47:15 time: 0.3622 data_time: 0.1871 loss: 1.8336 03/12 20:26:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:26:25 - mmengine - INFO - Saving checkpoint at 463 epochs 03/12 20:26:48 - mmengine - INFO - Epoch(val) [463][49/49] accuracy/top1: 66.5360 accuracy/top5: 86.9560 03/12 20:27:23 - mmengine - INFO - Epoch(train) [464][ 100/1252] lr: 1.1488e-04 eta: 15:46:25 time: 0.3373 data_time: 0.0043 loss: 1.7857 03/12 20:27:55 - mmengine - INFO - Epoch(train) [464][ 200/1252] lr: 1.1488e-04 eta: 15:45:49 time: 0.3430 data_time: 0.0044 loss: 1.5881 03/12 20:28:26 - mmengine - INFO - Epoch(train) [464][ 300/1252] lr: 1.1488e-04 eta: 15:45:09 time: 0.3395 data_time: 0.0044 loss: 1.7262 03/12 20:28:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:29:00 - mmengine - INFO - Epoch(train) [464][ 400/1252] lr: 1.1488e-04 eta: 15:44:36 time: 0.3197 data_time: 0.0045 loss: 1.8121 03/12 20:29:31 - mmengine - INFO - Epoch(train) [464][ 500/1252] lr: 1.1488e-04 eta: 15:43:56 time: 0.2762 data_time: 0.0048 loss: 1.7745 03/12 20:30:04 - mmengine - INFO - Epoch(train) [464][ 600/1252] lr: 1.1488e-04 eta: 15:43:22 time: 0.3466 data_time: 0.0044 loss: 1.8034 03/12 20:30:36 - mmengine - INFO - Epoch(train) [464][ 700/1252] lr: 1.1488e-04 eta: 15:42:44 time: 0.3058 data_time: 0.0093 loss: 1.6752 03/12 20:31:09 - mmengine - INFO - Epoch(train) [464][ 800/1252] lr: 1.1488e-04 eta: 15:42:10 time: 0.3725 data_time: 0.0047 loss: 1.7348 03/12 20:31:41 - mmengine - INFO - Epoch(train) [464][ 900/1252] lr: 1.1488e-04 eta: 15:41:33 time: 0.3911 data_time: 0.0220 loss: 1.7275 03/12 20:32:12 - mmengine - INFO - Epoch(train) [464][1000/1252] lr: 1.1488e-04 eta: 15:40:54 time: 0.2718 data_time: 0.0045 loss: 1.7475 03/12 20:32:44 - mmengine - INFO - Epoch(train) [464][1100/1252] lr: 1.1488e-04 eta: 15:40:18 time: 0.3065 data_time: 0.0461 loss: 1.8599 03/12 20:33:17 - mmengine - INFO - Epoch(train) [464][1200/1252] lr: 1.1488e-04 eta: 15:39:43 time: 0.3228 data_time: 0.0043 loss: 1.7343 03/12 20:33:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:33:33 - mmengine - INFO - Saving checkpoint at 464 epochs 03/12 20:33:56 - mmengine - INFO - Epoch(val) [464][49/49] accuracy/top1: 66.6560 accuracy/top5: 86.9640 03/12 20:34:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:34:30 - mmengine - INFO - Epoch(train) [465][ 100/1252] lr: 1.1178e-04 eta: 15:38:51 time: 0.3127 data_time: 0.0047 loss: 1.8848 03/12 20:35:03 - mmengine - INFO - Epoch(train) [465][ 200/1252] lr: 1.1178e-04 eta: 15:38:16 time: 0.3648 data_time: 0.0047 loss: 1.7788 03/12 20:35:35 - mmengine - INFO - Epoch(train) [465][ 300/1252] lr: 1.1178e-04 eta: 15:37:39 time: 0.3277 data_time: 0.0047 loss: 1.7857 03/12 20:36:07 - mmengine - INFO - Epoch(train) [465][ 400/1252] lr: 1.1178e-04 eta: 15:37:02 time: 0.2915 data_time: 0.0045 loss: 1.7154 03/12 20:36:39 - mmengine - INFO - Epoch(train) [465][ 500/1252] lr: 1.1178e-04 eta: 15:36:26 time: 0.3021 data_time: 0.0043 loss: 1.5684 03/12 20:37:12 - mmengine - INFO - Epoch(train) [465][ 600/1252] lr: 1.1178e-04 eta: 15:35:50 time: 0.3103 data_time: 0.0987 loss: 1.8293 03/12 20:37:44 - mmengine - INFO - Epoch(train) [465][ 700/1252] lr: 1.1178e-04 eta: 15:35:14 time: 0.3178 data_time: 0.0041 loss: 1.7271 03/12 20:38:16 - mmengine - INFO - Epoch(train) [465][ 800/1252] lr: 1.1178e-04 eta: 15:34:36 time: 0.2747 data_time: 0.0045 loss: 1.8109 03/12 20:38:48 - mmengine - INFO - Epoch(train) [465][ 900/1252] lr: 1.1178e-04 eta: 15:34:01 time: 0.3562 data_time: 0.0045 loss: 1.7699 03/12 20:39:21 - mmengine - INFO - Epoch(train) [465][1000/1252] lr: 1.1178e-04 eta: 15:33:25 time: 0.3540 data_time: 0.0046 loss: 1.7862 03/12 20:39:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:39:53 - mmengine - INFO - Epoch(train) [465][1100/1252] lr: 1.1178e-04 eta: 15:32:48 time: 0.3266 data_time: 0.0042 loss: 1.7801 03/12 20:40:25 - mmengine - INFO - Epoch(train) [465][1200/1252] lr: 1.1178e-04 eta: 15:32:11 time: 0.2964 data_time: 0.0050 loss: 1.7831 03/12 20:40:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:40:41 - mmengine - INFO - Saving checkpoint at 465 epochs 03/12 20:41:04 - mmengine - INFO - Epoch(val) [465][49/49] accuracy/top1: 66.5600 accuracy/top5: 86.9460 03/12 20:41:38 - mmengine - INFO - Epoch(train) [466][ 100/1252] lr: 1.1178e-04 eta: 15:31:19 time: 0.3324 data_time: 0.1458 loss: 1.7237 03/12 20:42:11 - mmengine - INFO - Epoch(train) [466][ 200/1252] lr: 1.1178e-04 eta: 15:30:45 time: 0.3952 data_time: 0.0051 loss: 1.8753 03/12 20:42:42 - mmengine - INFO - Epoch(train) [466][ 300/1252] lr: 1.1178e-04 eta: 15:30:06 time: 0.3376 data_time: 0.0050 loss: 1.8151 03/12 20:43:15 - mmengine - INFO - Epoch(train) [466][ 400/1252] lr: 1.1178e-04 eta: 15:29:32 time: 0.3130 data_time: 0.0045 loss: 1.7059 03/12 20:43:47 - mmengine - INFO - Epoch(train) [466][ 500/1252] lr: 1.1178e-04 eta: 15:28:55 time: 0.3201 data_time: 0.0051 loss: 1.7262 03/12 20:44:20 - mmengine - INFO - Epoch(train) [466][ 600/1252] lr: 1.1178e-04 eta: 15:28:20 time: 0.3620 data_time: 0.0043 loss: 1.6924 03/12 20:44:52 - mmengine - INFO - Epoch(train) [466][ 700/1252] lr: 1.1178e-04 eta: 15:27:42 time: 0.2842 data_time: 0.0044 loss: 1.7341 03/12 20:45:24 - mmengine - INFO - Epoch(train) [466][ 800/1252] lr: 1.1178e-04 eta: 15:27:07 time: 0.3144 data_time: 0.0048 loss: 1.7922 03/12 20:45:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:45:56 - mmengine - INFO - Epoch(train) [466][ 900/1252] lr: 1.1178e-04 eta: 15:26:30 time: 0.3359 data_time: 0.0045 loss: 1.8324 03/12 20:46:28 - mmengine - INFO - Epoch(train) [466][1000/1252] lr: 1.1178e-04 eta: 15:25:53 time: 0.3001 data_time: 0.0046 loss: 1.7433 03/12 20:47:00 - mmengine - INFO - Epoch(train) [466][1100/1252] lr: 1.1178e-04 eta: 15:25:17 time: 0.3311 data_time: 0.0047 loss: 1.8689 03/12 20:47:33 - mmengine - INFO - Epoch(train) [466][1200/1252] lr: 1.1178e-04 eta: 15:24:42 time: 0.3347 data_time: 0.0041 loss: 1.8049 03/12 20:47:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:47:49 - mmengine - INFO - Saving checkpoint at 466 epochs 03/12 20:48:12 - mmengine - INFO - Epoch(val) [466][49/49] accuracy/top1: 66.6780 accuracy/top5: 86.9040 03/12 20:48:46 - mmengine - INFO - Epoch(train) [467][ 100/1252] lr: 1.0876e-04 eta: 15:23:50 time: 0.2990 data_time: 0.0061 loss: 1.8069 03/12 20:49:18 - mmengine - INFO - Epoch(train) [467][ 200/1252] lr: 1.0876e-04 eta: 15:23:14 time: 0.2987 data_time: 0.0576 loss: 1.7721 03/12 20:49:51 - mmengine - INFO - Epoch(train) [467][ 300/1252] lr: 1.0876e-04 eta: 15:22:40 time: 0.3468 data_time: 0.0044 loss: 1.7022 03/12 20:50:23 - mmengine - INFO - Epoch(train) [467][ 400/1252] lr: 1.0876e-04 eta: 15:22:04 time: 0.2703 data_time: 0.0044 loss: 1.7344 03/12 20:50:55 - mmengine - INFO - Epoch(train) [467][ 500/1252] lr: 1.0876e-04 eta: 15:21:26 time: 0.3340 data_time: 0.0754 loss: 1.7376 03/12 20:51:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:51:28 - mmengine - INFO - Epoch(train) [467][ 600/1252] lr: 1.0876e-04 eta: 15:20:52 time: 0.3230 data_time: 0.0045 loss: 1.7116 03/12 20:52:00 - mmengine - INFO - Epoch(train) [467][ 700/1252] lr: 1.0876e-04 eta: 15:20:15 time: 0.3127 data_time: 0.0045 loss: 1.7602 03/12 20:52:33 - mmengine - INFO - Epoch(train) [467][ 800/1252] lr: 1.0876e-04 eta: 15:19:41 time: 0.3473 data_time: 0.0331 loss: 1.7780 03/12 20:53:04 - mmengine - INFO - Epoch(train) [467][ 900/1252] lr: 1.0876e-04 eta: 15:19:02 time: 0.3280 data_time: 0.0054 loss: 1.7189 03/12 20:53:36 - mmengine - INFO - Epoch(train) [467][1000/1252] lr: 1.0876e-04 eta: 15:18:26 time: 0.3173 data_time: 0.0044 loss: 1.8109 03/12 20:54:09 - mmengine - INFO - Epoch(train) [467][1100/1252] lr: 1.0876e-04 eta: 15:17:51 time: 0.3576 data_time: 0.0841 loss: 1.7540 03/12 20:54:41 - mmengine - INFO - Epoch(train) [467][1200/1252] lr: 1.0876e-04 eta: 15:17:15 time: 0.3608 data_time: 0.0042 loss: 1.6628 03/12 20:54:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:54:57 - mmengine - INFO - Saving checkpoint at 467 epochs 03/12 20:55:19 - mmengine - INFO - Epoch(val) [467][49/49] accuracy/top1: 66.6980 accuracy/top5: 86.9340 03/12 20:55:53 - mmengine - INFO - Epoch(train) [468][ 100/1252] lr: 1.0876e-04 eta: 15:16:22 time: 0.3525 data_time: 0.0045 loss: 1.7536 03/12 20:56:25 - mmengine - INFO - Epoch(train) [468][ 200/1252] lr: 1.0876e-04 eta: 15:15:46 time: 0.2603 data_time: 0.0047 loss: 1.7633 03/12 20:56:58 - mmengine - INFO - Epoch(train) [468][ 300/1252] lr: 1.0876e-04 eta: 15:15:12 time: 0.3594 data_time: 0.0039 loss: 1.6860 03/12 20:57:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 20:57:30 - mmengine - INFO - Epoch(train) [468][ 400/1252] lr: 1.0876e-04 eta: 15:14:37 time: 0.3331 data_time: 0.0048 loss: 1.6779 03/12 20:58:03 - mmengine - INFO - Epoch(train) [468][ 500/1252] lr: 1.0876e-04 eta: 15:14:03 time: 0.2884 data_time: 0.0043 loss: 1.7157 03/12 20:58:35 - mmengine - INFO - Epoch(train) [468][ 600/1252] lr: 1.0876e-04 eta: 15:13:25 time: 0.2990 data_time: 0.0048 loss: 1.7140 03/12 20:59:07 - mmengine - INFO - Epoch(train) [468][ 700/1252] lr: 1.0876e-04 eta: 15:12:50 time: 0.3725 data_time: 0.0557 loss: 1.8545 03/12 20:59:39 - mmengine - INFO - Epoch(train) [468][ 800/1252] lr: 1.0876e-04 eta: 15:12:14 time: 0.2989 data_time: 0.0041 loss: 1.8633 03/12 21:00:11 - mmengine - INFO - Epoch(train) [468][ 900/1252] lr: 1.0876e-04 eta: 15:11:37 time: 0.2969 data_time: 0.0051 loss: 1.6851 03/12 21:00:43 - mmengine - INFO - Epoch(train) [468][1000/1252] lr: 1.0876e-04 eta: 15:11:01 time: 0.3261 data_time: 0.0045 loss: 1.7775 03/12 21:01:16 - mmengine - INFO - Epoch(train) [468][1100/1252] lr: 1.0876e-04 eta: 15:10:25 time: 0.2767 data_time: 0.0059 loss: 1.7811 03/12 21:01:47 - mmengine - INFO - Epoch(train) [468][1200/1252] lr: 1.0876e-04 eta: 15:09:48 time: 0.3035 data_time: 0.0052 loss: 1.7261 03/12 21:02:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:02:04 - mmengine - INFO - Saving checkpoint at 468 epochs 03/12 21:02:26 - mmengine - INFO - Epoch(val) [468][49/49] accuracy/top1: 66.7880 accuracy/top5: 86.9920 03/12 21:02:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:03:01 - mmengine - INFO - Epoch(train) [469][ 100/1252] lr: 1.0582e-04 eta: 15:08:59 time: 0.3165 data_time: 0.0044 loss: 1.8492 03/12 21:03:33 - mmengine - INFO - Epoch(train) [469][ 200/1252] lr: 1.0582e-04 eta: 15:08:23 time: 0.3249 data_time: 0.0049 loss: 1.7470 03/12 21:04:06 - mmengine - INFO - Epoch(train) [469][ 300/1252] lr: 1.0582e-04 eta: 15:07:51 time: 0.3550 data_time: 0.0046 loss: 1.7743 03/12 21:04:38 - mmengine - INFO - Epoch(train) [469][ 400/1252] lr: 1.0582e-04 eta: 15:07:13 time: 0.3168 data_time: 0.0047 loss: 1.7782 03/12 21:05:10 - mmengine - INFO - Epoch(train) [469][ 500/1252] lr: 1.0582e-04 eta: 15:06:37 time: 0.2899 data_time: 0.0048 loss: 1.7088 03/12 21:05:43 - mmengine - INFO - Epoch(train) [469][ 600/1252] lr: 1.0582e-04 eta: 15:06:03 time: 0.3292 data_time: 0.0047 loss: 1.6801 03/12 21:06:15 - mmengine - INFO - Epoch(train) [469][ 700/1252] lr: 1.0582e-04 eta: 15:05:27 time: 0.3430 data_time: 0.0040 loss: 1.8516 03/12 21:06:47 - mmengine - INFO - Epoch(train) [469][ 800/1252] lr: 1.0582e-04 eta: 15:04:51 time: 0.3164 data_time: 0.0481 loss: 1.8105 03/12 21:07:19 - mmengine - INFO - Epoch(train) [469][ 900/1252] lr: 1.0582e-04 eta: 15:04:15 time: 0.3183 data_time: 0.0045 loss: 1.6543 03/12 21:07:51 - mmengine - INFO - Epoch(train) [469][1000/1252] lr: 1.0582e-04 eta: 15:03:40 time: 0.3512 data_time: 0.0049 loss: 1.8414 03/12 21:08:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:08:23 - mmengine - INFO - Epoch(train) [469][1100/1252] lr: 1.0582e-04 eta: 15:03:02 time: 0.2497 data_time: 0.0048 loss: 1.7684 03/12 21:08:55 - mmengine - INFO - Epoch(train) [469][1200/1252] lr: 1.0582e-04 eta: 15:02:27 time: 0.3204 data_time: 0.0045 loss: 1.7219 03/12 21:09:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:09:12 - mmengine - INFO - Saving checkpoint at 469 epochs 03/12 21:09:34 - mmengine - INFO - Epoch(val) [469][49/49] accuracy/top1: 66.4520 accuracy/top5: 86.8460 03/12 21:10:09 - mmengine - INFO - Epoch(train) [470][ 100/1252] lr: 1.0582e-04 eta: 15:01:38 time: 0.3423 data_time: 0.0042 loss: 1.7857 03/12 21:10:42 - mmengine - INFO - Epoch(train) [470][ 200/1252] lr: 1.0582e-04 eta: 15:01:03 time: 0.2768 data_time: 0.0046 loss: 1.7574 03/12 21:11:14 - mmengine - INFO - Epoch(train) [470][ 300/1252] lr: 1.0582e-04 eta: 15:00:28 time: 0.3487 data_time: 0.2410 loss: 1.6185 03/12 21:11:47 - mmengine - INFO - Epoch(train) [470][ 400/1252] lr: 1.0582e-04 eta: 14:59:53 time: 0.3072 data_time: 0.0159 loss: 1.8228 03/12 21:12:19 - mmengine - INFO - Epoch(train) [470][ 500/1252] lr: 1.0582e-04 eta: 14:59:19 time: 0.3148 data_time: 0.0039 loss: 1.7180 03/12 21:12:52 - mmengine - INFO - Epoch(train) [470][ 600/1252] lr: 1.0582e-04 eta: 14:58:43 time: 0.3481 data_time: 0.1755 loss: 1.7910 03/12 21:13:23 - mmengine - INFO - Epoch(train) [470][ 700/1252] lr: 1.0582e-04 eta: 14:58:07 time: 0.3062 data_time: 0.0103 loss: 1.6496 03/12 21:13:56 - mmengine - INFO - Epoch(train) [470][ 800/1252] lr: 1.0582e-04 eta: 14:57:32 time: 0.3349 data_time: 0.0047 loss: 1.7232 03/12 21:13:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:14:28 - mmengine - INFO - Epoch(train) [470][ 900/1252] lr: 1.0582e-04 eta: 14:56:57 time: 0.3295 data_time: 0.0044 loss: 1.7607 03/12 21:15:00 - mmengine - INFO - Epoch(train) [470][1000/1252] lr: 1.0582e-04 eta: 14:56:21 time: 0.3508 data_time: 0.0052 loss: 1.6975 03/12 21:15:32 - mmengine - INFO - Epoch(train) [470][1100/1252] lr: 1.0582e-04 eta: 14:55:45 time: 0.3199 data_time: 0.0046 loss: 1.8445 03/12 21:16:05 - mmengine - INFO - Epoch(train) [470][1200/1252] lr: 1.0582e-04 eta: 14:55:10 time: 0.3734 data_time: 0.2354 loss: 1.7179 03/12 21:16:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:16:21 - mmengine - INFO - Saving checkpoint at 470 epochs 03/12 21:16:44 - mmengine - INFO - Epoch(val) [470][49/49] accuracy/top1: 66.7100 accuracy/top5: 86.9580 03/12 21:17:19 - mmengine - INFO - Epoch(train) [471][ 100/1252] lr: 1.0297e-04 eta: 14:54:20 time: 0.3068 data_time: 0.1626 loss: 1.6521 03/12 21:17:50 - mmengine - INFO - Epoch(train) [471][ 200/1252] lr: 1.0297e-04 eta: 14:53:42 time: 0.3007 data_time: 0.0043 loss: 1.8120 03/12 21:18:22 - mmengine - INFO - Epoch(train) [471][ 300/1252] lr: 1.0297e-04 eta: 14:53:06 time: 0.3101 data_time: 0.0261 loss: 1.7945 03/12 21:18:54 - mmengine - INFO - Epoch(train) [471][ 400/1252] lr: 1.0297e-04 eta: 14:52:31 time: 0.3263 data_time: 0.0054 loss: 1.7719 03/12 21:19:26 - mmengine - INFO - Epoch(train) [471][ 500/1252] lr: 1.0297e-04 eta: 14:51:55 time: 0.2873 data_time: 0.0133 loss: 1.7036 03/12 21:19:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:19:59 - mmengine - INFO - Epoch(train) [471][ 600/1252] lr: 1.0297e-04 eta: 14:51:20 time: 0.3162 data_time: 0.0049 loss: 1.6905 03/12 21:20:31 - mmengine - INFO - Epoch(train) [471][ 700/1252] lr: 1.0297e-04 eta: 14:50:45 time: 0.3844 data_time: 0.0453 loss: 1.7838 03/12 21:21:03 - mmengine - INFO - Epoch(train) [471][ 800/1252] lr: 1.0297e-04 eta: 14:50:09 time: 0.3204 data_time: 0.0055 loss: 1.8591 03/12 21:21:35 - mmengine - INFO - Epoch(train) [471][ 900/1252] lr: 1.0297e-04 eta: 14:49:33 time: 0.2946 data_time: 0.0080 loss: 1.8002 03/12 21:22:08 - mmengine - INFO - Epoch(train) [471][1000/1252] lr: 1.0297e-04 eta: 14:48:59 time: 0.3260 data_time: 0.0043 loss: 1.7030 03/12 21:22:40 - mmengine - INFO - Epoch(train) [471][1100/1252] lr: 1.0297e-04 eta: 14:48:23 time: 0.3736 data_time: 0.0044 loss: 1.7803 03/12 21:23:12 - mmengine - INFO - Epoch(train) [471][1200/1252] lr: 1.0297e-04 eta: 14:47:48 time: 0.3456 data_time: 0.0048 loss: 1.7955 03/12 21:23:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:23:28 - mmengine - INFO - Saving checkpoint at 471 epochs 03/12 21:23:51 - mmengine - INFO - Epoch(val) [471][49/49] accuracy/top1: 66.6500 accuracy/top5: 86.9720 03/12 21:24:25 - mmengine - INFO - Epoch(train) [472][ 100/1252] lr: 1.0297e-04 eta: 14:46:57 time: 0.2944 data_time: 0.0715 loss: 1.7913 03/12 21:24:58 - mmengine - INFO - Epoch(train) [472][ 200/1252] lr: 1.0297e-04 eta: 14:46:23 time: 0.3384 data_time: 0.0044 loss: 1.7875 03/12 21:25:30 - mmengine - INFO - Epoch(train) [472][ 300/1252] lr: 1.0297e-04 eta: 14:45:47 time: 0.2882 data_time: 0.0047 loss: 1.8294 03/12 21:25:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:26:02 - mmengine - INFO - Epoch(train) [472][ 400/1252] lr: 1.0297e-04 eta: 14:45:12 time: 0.3118 data_time: 0.0276 loss: 1.7099 03/12 21:26:35 - mmengine - INFO - Epoch(train) [472][ 500/1252] lr: 1.0297e-04 eta: 14:44:37 time: 0.3296 data_time: 0.0285 loss: 1.6530 03/12 21:27:07 - mmengine - INFO - Epoch(train) [472][ 600/1252] lr: 1.0297e-04 eta: 14:44:01 time: 0.2785 data_time: 0.0046 loss: 1.6928 03/12 21:27:40 - mmengine - INFO - Epoch(train) [472][ 700/1252] lr: 1.0297e-04 eta: 14:43:28 time: 0.4030 data_time: 0.0332 loss: 1.7786 03/12 21:28:11 - mmengine - INFO - Epoch(train) [472][ 800/1252] lr: 1.0297e-04 eta: 14:42:50 time: 0.3311 data_time: 0.0050 loss: 1.7723 03/12 21:28:43 - mmengine - INFO - Epoch(train) [472][ 900/1252] lr: 1.0297e-04 eta: 14:42:13 time: 0.2929 data_time: 0.0042 loss: 1.8586 03/12 21:29:15 - mmengine - INFO - Epoch(train) [472][1000/1252] lr: 1.0297e-04 eta: 14:41:39 time: 0.2923 data_time: 0.1236 loss: 1.7342 03/12 21:29:47 - mmengine - INFO - Epoch(train) [472][1100/1252] lr: 1.0297e-04 eta: 14:41:03 time: 0.2983 data_time: 0.0179 loss: 1.6990 03/12 21:30:20 - mmengine - INFO - Epoch(train) [472][1200/1252] lr: 1.0297e-04 eta: 14:40:28 time: 0.2814 data_time: 0.1629 loss: 1.8313 03/12 21:30:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:30:36 - mmengine - INFO - Saving checkpoint at 472 epochs 03/12 21:30:59 - mmengine - INFO - Epoch(val) [472][49/49] accuracy/top1: 66.6800 accuracy/top5: 86.9840 03/12 21:31:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:31:33 - mmengine - INFO - Epoch(train) [473][ 100/1252] lr: 1.0019e-04 eta: 14:39:36 time: 0.2429 data_time: 0.0339 loss: 1.8100 03/12 21:32:05 - mmengine - INFO - Epoch(train) [473][ 200/1252] lr: 1.0019e-04 eta: 14:39:01 time: 0.3133 data_time: 0.0044 loss: 1.6788 03/12 21:32:37 - mmengine - INFO - Epoch(train) [473][ 300/1252] lr: 1.0019e-04 eta: 14:38:26 time: 0.3086 data_time: 0.0131 loss: 1.7464 03/12 21:33:10 - mmengine - INFO - Epoch(train) [473][ 400/1252] lr: 1.0019e-04 eta: 14:37:51 time: 0.2990 data_time: 0.0041 loss: 1.8196 03/12 21:33:43 - mmengine - INFO - Epoch(train) [473][ 500/1252] lr: 1.0019e-04 eta: 14:37:17 time: 0.3925 data_time: 0.0043 loss: 1.8491 03/12 21:34:15 - mmengine - INFO - Epoch(train) [473][ 600/1252] lr: 1.0019e-04 eta: 14:36:42 time: 0.3480 data_time: 0.1556 loss: 1.7293 03/12 21:34:48 - mmengine - INFO - Epoch(train) [473][ 700/1252] lr: 1.0019e-04 eta: 14:36:09 time: 0.2853 data_time: 0.0045 loss: 1.8175 03/12 21:35:20 - mmengine - INFO - Epoch(train) [473][ 800/1252] lr: 1.0019e-04 eta: 14:35:33 time: 0.2977 data_time: 0.0044 loss: 1.7128 03/12 21:35:52 - mmengine - INFO - Epoch(train) [473][ 900/1252] lr: 1.0019e-04 eta: 14:34:58 time: 0.3294 data_time: 0.0295 loss: 1.7501 03/12 21:36:25 - mmengine - INFO - Epoch(train) [473][1000/1252] lr: 1.0019e-04 eta: 14:34:24 time: 0.3197 data_time: 0.0104 loss: 1.7973 03/12 21:36:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:36:59 - mmengine - INFO - Epoch(train) [473][1100/1252] lr: 1.0019e-04 eta: 14:33:52 time: 0.3631 data_time: 0.0037 loss: 1.7995 03/12 21:37:30 - mmengine - INFO - Epoch(train) [473][1200/1252] lr: 1.0019e-04 eta: 14:33:15 time: 0.3387 data_time: 0.1126 loss: 1.7358 03/12 21:37:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:37:46 - mmengine - INFO - Saving checkpoint at 473 epochs 03/12 21:38:08 - mmengine - INFO - Epoch(val) [473][49/49] accuracy/top1: 66.7500 accuracy/top5: 86.9580 03/12 21:38:43 - mmengine - INFO - Epoch(train) [474][ 100/1252] lr: 1.0019e-04 eta: 14:32:25 time: 0.2986 data_time: 0.0313 loss: 1.7848 03/12 21:39:15 - mmengine - INFO - Epoch(train) [474][ 200/1252] lr: 1.0019e-04 eta: 14:31:50 time: 0.3221 data_time: 0.0053 loss: 1.7050 03/12 21:39:47 - mmengine - INFO - Epoch(train) [474][ 300/1252] lr: 1.0019e-04 eta: 14:31:14 time: 0.3370 data_time: 0.1288 loss: 1.7796 03/12 21:40:19 - mmengine - INFO - Epoch(train) [474][ 400/1252] lr: 1.0019e-04 eta: 14:30:38 time: 0.3475 data_time: 0.0053 loss: 1.6163 03/12 21:40:52 - mmengine - INFO - Epoch(train) [474][ 500/1252] lr: 1.0019e-04 eta: 14:30:04 time: 0.3626 data_time: 0.0055 loss: 1.7937 03/12 21:41:24 - mmengine - INFO - Epoch(train) [474][ 600/1252] lr: 1.0019e-04 eta: 14:29:30 time: 0.3937 data_time: 0.0422 loss: 1.7933 03/12 21:41:56 - mmengine - INFO - Epoch(train) [474][ 700/1252] lr: 1.0019e-04 eta: 14:28:54 time: 0.3494 data_time: 0.0042 loss: 1.7837 03/12 21:42:28 - mmengine - INFO - Epoch(train) [474][ 800/1252] lr: 1.0019e-04 eta: 14:28:17 time: 0.2629 data_time: 0.0043 loss: 1.8229 03/12 21:42:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:42:59 - mmengine - INFO - Epoch(train) [474][ 900/1252] lr: 1.0019e-04 eta: 14:27:41 time: 0.3559 data_time: 0.0144 loss: 1.7897 03/12 21:43:32 - mmengine - INFO - Epoch(train) [474][1000/1252] lr: 1.0019e-04 eta: 14:27:06 time: 0.3515 data_time: 0.0045 loss: 1.8007 03/12 21:44:04 - mmengine - INFO - Epoch(train) [474][1100/1252] lr: 1.0019e-04 eta: 14:26:30 time: 0.2920 data_time: 0.0040 loss: 1.7479 03/12 21:44:36 - mmengine - INFO - Epoch(train) [474][1200/1252] lr: 1.0019e-04 eta: 14:25:55 time: 0.3242 data_time: 0.0040 loss: 1.7277 03/12 21:44:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:44:52 - mmengine - INFO - Saving checkpoint at 474 epochs 03/12 21:45:14 - mmengine - INFO - Epoch(val) [474][49/49] accuracy/top1: 66.9060 accuracy/top5: 86.9440 03/12 21:45:49 - mmengine - INFO - Epoch(train) [475][ 100/1252] lr: 9.7482e-05 eta: 14:25:05 time: 0.3462 data_time: 0.0051 loss: 1.7604 03/12 21:46:21 - mmengine - INFO - Epoch(train) [475][ 200/1252] lr: 9.7482e-05 eta: 14:24:29 time: 0.3425 data_time: 0.0044 loss: 1.7421 03/12 21:46:53 - mmengine - INFO - Epoch(train) [475][ 300/1252] lr: 9.7482e-05 eta: 14:23:53 time: 0.2863 data_time: 0.0053 loss: 1.7177 03/12 21:47:26 - mmengine - INFO - Epoch(train) [475][ 400/1252] lr: 9.7482e-05 eta: 14:23:20 time: 0.2969 data_time: 0.0046 loss: 1.7630 03/12 21:47:59 - mmengine - INFO - Epoch(train) [475][ 500/1252] lr: 9.7482e-05 eta: 14:22:46 time: 0.3507 data_time: 0.0044 loss: 1.7311 03/12 21:48:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:48:30 - mmengine - INFO - Epoch(train) [475][ 600/1252] lr: 9.7482e-05 eta: 14:22:10 time: 0.3211 data_time: 0.0044 loss: 1.8140 03/12 21:49:03 - mmengine - INFO - Epoch(train) [475][ 700/1252] lr: 9.7482e-05 eta: 14:21:35 time: 0.3321 data_time: 0.0046 loss: 1.7370 03/12 21:49:34 - mmengine - INFO - Epoch(train) [475][ 800/1252] lr: 9.7482e-05 eta: 14:20:59 time: 0.2963 data_time: 0.0051 loss: 1.8248 03/12 21:50:07 - mmengine - INFO - Epoch(train) [475][ 900/1252] lr: 9.7482e-05 eta: 14:20:25 time: 0.3032 data_time: 0.0044 loss: 1.6781 03/12 21:50:39 - mmengine - INFO - Epoch(train) [475][1000/1252] lr: 9.7482e-05 eta: 14:19:50 time: 0.2827 data_time: 0.0967 loss: 1.7181 03/12 21:51:11 - mmengine - INFO - Epoch(train) [475][1100/1252] lr: 9.7482e-05 eta: 14:19:14 time: 0.2899 data_time: 0.0173 loss: 1.8606 03/12 21:51:43 - mmengine - INFO - Epoch(train) [475][1200/1252] lr: 9.7482e-05 eta: 14:18:39 time: 0.3130 data_time: 0.0044 loss: 1.7104 03/12 21:51:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:51:59 - mmengine - INFO - Saving checkpoint at 475 epochs 03/12 21:52:21 - mmengine - INFO - Epoch(val) [475][49/49] accuracy/top1: 66.6180 accuracy/top5: 86.9360 03/12 21:52:55 - mmengine - INFO - Epoch(train) [476][ 100/1252] lr: 9.7482e-05 eta: 14:17:49 time: 0.3295 data_time: 0.0047 loss: 1.7785 03/12 21:53:28 - mmengine - INFO - Epoch(train) [476][ 200/1252] lr: 9.7482e-05 eta: 14:17:14 time: 0.3498 data_time: 0.0046 loss: 1.9020 03/12 21:54:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:54:00 - mmengine - INFO - Epoch(train) [476][ 300/1252] lr: 9.7482e-05 eta: 14:16:39 time: 0.2911 data_time: 0.0051 loss: 1.7563 03/12 21:54:32 - mmengine - INFO - Epoch(train) [476][ 400/1252] lr: 9.7482e-05 eta: 14:16:04 time: 0.3037 data_time: 0.0042 loss: 1.6154 03/12 21:55:04 - mmengine - INFO - Epoch(train) [476][ 500/1252] lr: 9.7482e-05 eta: 14:15:29 time: 0.3513 data_time: 0.0296 loss: 1.7207 03/12 21:55:37 - mmengine - INFO - Epoch(train) [476][ 600/1252] lr: 9.7482e-05 eta: 14:14:55 time: 0.3088 data_time: 0.1906 loss: 1.7811 03/12 21:56:08 - mmengine - INFO - Epoch(train) [476][ 700/1252] lr: 9.7482e-05 eta: 14:14:18 time: 0.2887 data_time: 0.0784 loss: 1.7483 03/12 21:56:42 - mmengine - INFO - Epoch(train) [476][ 800/1252] lr: 9.7482e-05 eta: 14:13:46 time: 0.3684 data_time: 0.1031 loss: 1.7695 03/12 21:57:14 - mmengine - INFO - Epoch(train) [476][ 900/1252] lr: 9.7482e-05 eta: 14:13:10 time: 0.2613 data_time: 0.0043 loss: 1.7999 03/12 21:57:46 - mmengine - INFO - Epoch(train) [476][1000/1252] lr: 9.7482e-05 eta: 14:12:36 time: 0.3919 data_time: 0.0040 loss: 1.7811 03/12 21:58:18 - mmengine - INFO - Epoch(train) [476][1100/1252] lr: 9.7482e-05 eta: 14:12:00 time: 0.2672 data_time: 0.0041 loss: 1.7995 03/12 21:58:51 - mmengine - INFO - Epoch(train) [476][1200/1252] lr: 9.7482e-05 eta: 14:11:26 time: 0.3499 data_time: 0.0041 loss: 1.8584 03/12 21:59:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 21:59:06 - mmengine - INFO - Saving checkpoint at 476 epochs 03/12 21:59:29 - mmengine - INFO - Epoch(val) [476][49/49] accuracy/top1: 66.5880 accuracy/top5: 86.9620 03/12 21:59:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:00:04 - mmengine - INFO - Epoch(train) [477][ 100/1252] lr: 9.4850e-05 eta: 14:10:36 time: 0.3573 data_time: 0.0090 loss: 1.6945 03/12 22:00:36 - mmengine - INFO - Epoch(train) [477][ 200/1252] lr: 9.4850e-05 eta: 14:10:00 time: 0.3029 data_time: 0.0045 loss: 1.7234 03/12 22:01:08 - mmengine - INFO - Epoch(train) [477][ 300/1252] lr: 9.4850e-05 eta: 14:09:25 time: 0.3247 data_time: 0.0044 loss: 1.8055 03/12 22:01:40 - mmengine - INFO - Epoch(train) [477][ 400/1252] lr: 9.4850e-05 eta: 14:08:51 time: 0.3040 data_time: 0.0049 loss: 1.7230 03/12 22:02:13 - mmengine - INFO - Epoch(train) [477][ 500/1252] lr: 9.4850e-05 eta: 14:08:16 time: 0.3841 data_time: 0.0043 loss: 1.8345 03/12 22:02:45 - mmengine - INFO - Epoch(train) [477][ 600/1252] lr: 9.4850e-05 eta: 14:07:41 time: 0.4035 data_time: 0.0043 loss: 1.8091 03/12 22:03:16 - mmengine - INFO - Epoch(train) [477][ 700/1252] lr: 9.4850e-05 eta: 14:07:05 time: 0.3232 data_time: 0.0045 loss: 1.7164 03/12 22:03:49 - mmengine - INFO - Epoch(train) [477][ 800/1252] lr: 9.4850e-05 eta: 14:06:31 time: 0.3129 data_time: 0.0562 loss: 1.6740 03/12 22:04:20 - mmengine - INFO - Epoch(train) [477][ 900/1252] lr: 9.4850e-05 eta: 14:05:55 time: 0.2919 data_time: 0.0047 loss: 1.6802 03/12 22:04:52 - mmengine - INFO - Epoch(train) [477][1000/1252] lr: 9.4850e-05 eta: 14:05:20 time: 0.3066 data_time: 0.0239 loss: 1.7150 03/12 22:05:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:05:25 - mmengine - INFO - Epoch(train) [477][1100/1252] lr: 9.4850e-05 eta: 14:04:45 time: 0.3268 data_time: 0.0047 loss: 1.9052 03/12 22:05:57 - mmengine - INFO - Epoch(train) [477][1200/1252] lr: 9.4850e-05 eta: 14:04:10 time: 0.2968 data_time: 0.1659 loss: 1.7621 03/12 22:06:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:06:13 - mmengine - INFO - Saving checkpoint at 477 epochs 03/12 22:06:36 - mmengine - INFO - Epoch(val) [477][49/49] accuracy/top1: 66.7160 accuracy/top5: 86.9580 03/12 22:07:10 - mmengine - INFO - Epoch(train) [478][ 100/1252] lr: 9.4850e-05 eta: 14:03:20 time: 0.3186 data_time: 0.0042 loss: 1.8513 03/12 22:07:43 - mmengine - INFO - Epoch(train) [478][ 200/1252] lr: 9.4850e-05 eta: 14:02:47 time: 0.3500 data_time: 0.0053 loss: 1.7381 03/12 22:08:14 - mmengine - INFO - Epoch(train) [478][ 300/1252] lr: 9.4850e-05 eta: 14:02:10 time: 0.3376 data_time: 0.0290 loss: 1.8151 03/12 22:08:47 - mmengine - INFO - Epoch(train) [478][ 400/1252] lr: 9.4850e-05 eta: 14:01:35 time: 0.3008 data_time: 0.0049 loss: 1.7503 03/12 22:09:19 - mmengine - INFO - Epoch(train) [478][ 500/1252] lr: 9.4850e-05 eta: 14:01:01 time: 0.3325 data_time: 0.0048 loss: 1.6889 03/12 22:09:51 - mmengine - INFO - Epoch(train) [478][ 600/1252] lr: 9.4850e-05 eta: 14:00:26 time: 0.2922 data_time: 0.1044 loss: 1.7800 03/12 22:10:23 - mmengine - INFO - Epoch(train) [478][ 700/1252] lr: 9.4850e-05 eta: 13:59:51 time: 0.2884 data_time: 0.0048 loss: 1.8069 03/12 22:10:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:10:55 - mmengine - INFO - Epoch(train) [478][ 800/1252] lr: 9.4850e-05 eta: 13:59:16 time: 0.3055 data_time: 0.0846 loss: 1.6691 03/12 22:11:27 - mmengine - INFO - Epoch(train) [478][ 900/1252] lr: 9.4850e-05 eta: 13:58:41 time: 0.3341 data_time: 0.0046 loss: 1.7518 03/12 22:12:00 - mmengine - INFO - Epoch(train) [478][1000/1252] lr: 9.4850e-05 eta: 13:58:06 time: 0.3544 data_time: 0.0043 loss: 1.7017 03/12 22:12:32 - mmengine - INFO - Epoch(train) [478][1100/1252] lr: 9.4850e-05 eta: 13:57:33 time: 0.3557 data_time: 0.0040 loss: 1.7144 03/12 22:13:04 - mmengine - INFO - Epoch(train) [478][1200/1252] lr: 9.4850e-05 eta: 13:56:57 time: 0.2607 data_time: 0.0048 loss: 1.7952 03/12 22:13:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:13:20 - mmengine - INFO - Saving checkpoint at 478 epochs 03/12 22:13:42 - mmengine - INFO - Epoch(val) [478][49/49] accuracy/top1: 66.7620 accuracy/top5: 86.9660 03/12 22:14:17 - mmengine - INFO - Epoch(train) [479][ 100/1252] lr: 9.2289e-05 eta: 13:56:07 time: 0.2560 data_time: 0.0046 loss: 1.8003 03/12 22:14:49 - mmengine - INFO - Epoch(train) [479][ 200/1252] lr: 9.2289e-05 eta: 13:55:32 time: 0.2988 data_time: 0.0048 loss: 1.7737 03/12 22:15:21 - mmengine - INFO - Epoch(train) [479][ 300/1252] lr: 9.2289e-05 eta: 13:54:57 time: 0.2982 data_time: 0.0043 loss: 1.8944 03/12 22:15:53 - mmengine - INFO - Epoch(train) [479][ 400/1252] lr: 9.2289e-05 eta: 13:54:23 time: 0.2953 data_time: 0.0048 loss: 1.7397 03/12 22:16:26 - mmengine - INFO - Epoch(train) [479][ 500/1252] lr: 9.2289e-05 eta: 13:53:49 time: 0.3504 data_time: 0.0040 loss: 1.8260 03/12 22:16:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:16:57 - mmengine - INFO - Epoch(train) [479][ 600/1252] lr: 9.2289e-05 eta: 13:53:13 time: 0.2801 data_time: 0.0047 loss: 1.7405 03/12 22:17:30 - mmengine - INFO - Epoch(train) [479][ 700/1252] lr: 9.2289e-05 eta: 13:52:38 time: 0.3150 data_time: 0.0045 loss: 1.7563 03/12 22:18:02 - mmengine - INFO - Epoch(train) [479][ 800/1252] lr: 9.2289e-05 eta: 13:52:03 time: 0.2838 data_time: 0.1392 loss: 1.7202 03/12 22:18:34 - mmengine - INFO - Epoch(train) [479][ 900/1252] lr: 9.2289e-05 eta: 13:51:29 time: 0.3571 data_time: 0.0052 loss: 1.8192 03/12 22:19:07 - mmengine - INFO - Epoch(train) [479][1000/1252] lr: 9.2289e-05 eta: 13:50:55 time: 0.3609 data_time: 0.0041 loss: 1.8807 03/12 22:19:38 - mmengine - INFO - Epoch(train) [479][1100/1252] lr: 9.2289e-05 eta: 13:50:20 time: 0.2702 data_time: 0.0449 loss: 1.6619 03/12 22:20:11 - mmengine - INFO - Epoch(train) [479][1200/1252] lr: 9.2289e-05 eta: 13:49:46 time: 0.3899 data_time: 0.0693 loss: 1.7358 03/12 22:20:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:20:27 - mmengine - INFO - Saving checkpoint at 479 epochs 03/12 22:20:49 - mmengine - INFO - Epoch(val) [479][49/49] accuracy/top1: 66.7020 accuracy/top5: 86.9900 03/12 22:21:23 - mmengine - INFO - Epoch(train) [480][ 100/1252] lr: 9.2289e-05 eta: 13:48:55 time: 0.3016 data_time: 0.0047 loss: 1.7727 03/12 22:21:55 - mmengine - INFO - Epoch(train) [480][ 200/1252] lr: 9.2289e-05 eta: 13:48:20 time: 0.3038 data_time: 0.0389 loss: 1.7634 03/12 22:22:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:22:28 - mmengine - INFO - Epoch(train) [480][ 300/1252] lr: 9.2289e-05 eta: 13:47:46 time: 0.3710 data_time: 0.1552 loss: 1.8296 03/12 22:23:00 - mmengine - INFO - Epoch(train) [480][ 400/1252] lr: 9.2289e-05 eta: 13:47:11 time: 0.3504 data_time: 0.0050 loss: 1.8135 03/12 22:23:32 - mmengine - INFO - Epoch(train) [480][ 500/1252] lr: 9.2289e-05 eta: 13:46:37 time: 0.4055 data_time: 0.0049 loss: 1.8467 03/12 22:24:04 - mmengine - INFO - Epoch(train) [480][ 600/1252] lr: 9.2289e-05 eta: 13:46:00 time: 0.2872 data_time: 0.0049 loss: 1.8735 03/12 22:24:37 - mmengine - INFO - Epoch(train) [480][ 700/1252] lr: 9.2289e-05 eta: 13:45:28 time: 0.2846 data_time: 0.0042 loss: 1.6866 03/12 22:25:09 - mmengine - INFO - Epoch(train) [480][ 800/1252] lr: 9.2289e-05 eta: 13:44:53 time: 0.3341 data_time: 0.0044 loss: 1.8554 03/12 22:25:42 - mmengine - INFO - Epoch(train) [480][ 900/1252] lr: 9.2289e-05 eta: 13:44:20 time: 0.3690 data_time: 0.0041 loss: 1.7609 03/12 22:26:14 - mmengine - INFO - Epoch(train) [480][1000/1252] lr: 9.2289e-05 eta: 13:43:45 time: 0.3586 data_time: 0.0217 loss: 1.8038 03/12 22:26:46 - mmengine - INFO - Epoch(train) [480][1100/1252] lr: 9.2289e-05 eta: 13:43:10 time: 0.3050 data_time: 0.0050 loss: 1.7518 03/12 22:27:19 - mmengine - INFO - Epoch(train) [480][1200/1252] lr: 9.2289e-05 eta: 13:42:36 time: 0.3302 data_time: 0.0233 loss: 1.7770 03/12 22:27:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:27:35 - mmengine - INFO - Saving checkpoint at 480 epochs 03/12 22:27:58 - mmengine - INFO - Epoch(val) [480][49/49] accuracy/top1: 66.7200 accuracy/top5: 86.9920 03/12 22:28:13 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:28:32 - mmengine - INFO - Epoch(train) [481][ 100/1252] lr: 8.9797e-05 eta: 13:41:47 time: 0.3121 data_time: 0.0052 loss: 1.6951 03/12 22:29:05 - mmengine - INFO - Epoch(train) [481][ 200/1252] lr: 8.9797e-05 eta: 13:41:13 time: 0.3404 data_time: 0.0043 loss: 1.7230 03/12 22:29:36 - mmengine - INFO - Epoch(train) [481][ 300/1252] lr: 8.9797e-05 eta: 13:40:37 time: 0.2987 data_time: 0.0045 loss: 1.6767 03/12 22:30:09 - mmengine - INFO - Epoch(train) [481][ 400/1252] lr: 8.9797e-05 eta: 13:40:03 time: 0.2774 data_time: 0.0047 loss: 1.7549 03/12 22:30:41 - mmengine - INFO - Epoch(train) [481][ 500/1252] lr: 8.9797e-05 eta: 13:39:28 time: 0.3053 data_time: 0.0049 loss: 1.7543 03/12 22:31:13 - mmengine - INFO - Epoch(train) [481][ 600/1252] lr: 8.9797e-05 eta: 13:38:54 time: 0.3097 data_time: 0.0048 loss: 1.8845 03/12 22:31:45 - mmengine - INFO - Epoch(train) [481][ 700/1252] lr: 8.9797e-05 eta: 13:38:19 time: 0.3327 data_time: 0.0048 loss: 1.8565 03/12 22:32:17 - mmengine - INFO - Epoch(train) [481][ 800/1252] lr: 8.9797e-05 eta: 13:37:44 time: 0.2865 data_time: 0.0067 loss: 1.7769 03/12 22:32:49 - mmengine - INFO - Epoch(train) [481][ 900/1252] lr: 8.9797e-05 eta: 13:37:10 time: 0.3296 data_time: 0.0048 loss: 1.7703 03/12 22:33:21 - mmengine - INFO - Epoch(train) [481][1000/1252] lr: 8.9797e-05 eta: 13:36:35 time: 0.2709 data_time: 0.0050 loss: 1.7389 03/12 22:33:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:33:53 - mmengine - INFO - Epoch(train) [481][1100/1252] lr: 8.9797e-05 eta: 13:36:00 time: 0.3144 data_time: 0.0049 loss: 1.7474 03/12 22:34:26 - mmengine - INFO - Epoch(train) [481][1200/1252] lr: 8.9797e-05 eta: 13:35:27 time: 0.3492 data_time: 0.0044 loss: 1.6193 03/12 22:34:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:34:42 - mmengine - INFO - Saving checkpoint at 481 epochs 03/12 22:35:04 - mmengine - INFO - Epoch(val) [481][49/49] accuracy/top1: 66.7300 accuracy/top5: 87.0320 03/12 22:35:39 - mmengine - INFO - Epoch(train) [482][ 100/1252] lr: 8.9797e-05 eta: 13:34:37 time: 0.3567 data_time: 0.0039 loss: 1.7354 03/12 22:36:13 - mmengine - INFO - Epoch(train) [482][ 200/1252] lr: 8.9797e-05 eta: 13:34:05 time: 0.4141 data_time: 0.0043 loss: 1.7095 03/12 22:36:45 - mmengine - INFO - Epoch(train) [482][ 300/1252] lr: 8.9797e-05 eta: 13:33:32 time: 0.2687 data_time: 0.0040 loss: 1.7587 03/12 22:37:19 - mmengine - INFO - Epoch(train) [482][ 400/1252] lr: 8.9797e-05 eta: 13:33:00 time: 0.3955 data_time: 0.1030 loss: 1.7847 03/12 22:37:51 - mmengine - INFO - Epoch(train) [482][ 500/1252] lr: 8.9797e-05 eta: 13:32:26 time: 0.3740 data_time: 0.0043 loss: 1.6989 03/12 22:38:25 - mmengine - INFO - Epoch(train) [482][ 600/1252] lr: 8.9797e-05 eta: 13:31:53 time: 0.3274 data_time: 0.0043 loss: 1.7278 03/12 22:38:57 - mmengine - INFO - Epoch(train) [482][ 700/1252] lr: 8.9797e-05 eta: 13:31:19 time: 0.2878 data_time: 0.0041 loss: 1.8032 03/12 22:39:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:39:30 - mmengine - INFO - Epoch(train) [482][ 800/1252] lr: 8.9797e-05 eta: 13:30:46 time: 0.2951 data_time: 0.0438 loss: 1.7774 03/12 22:40:04 - mmengine - INFO - Epoch(train) [482][ 900/1252] lr: 8.9797e-05 eta: 13:30:14 time: 0.3839 data_time: 0.0170 loss: 1.7693 03/12 22:40:35 - mmengine - INFO - Epoch(train) [482][1000/1252] lr: 8.9797e-05 eta: 13:29:39 time: 0.2801 data_time: 0.0046 loss: 1.7271 03/12 22:41:09 - mmengine - INFO - Epoch(train) [482][1100/1252] lr: 8.9797e-05 eta: 13:29:08 time: 0.3400 data_time: 0.0050 loss: 1.8212 03/12 22:41:43 - mmengine - INFO - Epoch(train) [482][1200/1252] lr: 8.9797e-05 eta: 13:28:36 time: 0.4001 data_time: 0.0037 loss: 1.8432 03/12 22:41:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:41:59 - mmengine - INFO - Saving checkpoint at 482 epochs 03/12 22:42:21 - mmengine - INFO - Epoch(val) [482][49/49] accuracy/top1: 66.5280 accuracy/top5: 86.8540 03/12 22:42:56 - mmengine - INFO - Epoch(train) [483][ 100/1252] lr: 8.7372e-05 eta: 13:27:47 time: 0.3230 data_time: 0.0042 loss: 1.6708 03/12 22:43:28 - mmengine - INFO - Epoch(train) [483][ 200/1252] lr: 8.7372e-05 eta: 13:27:12 time: 0.2651 data_time: 0.0050 loss: 1.6805 03/12 22:44:00 - mmengine - INFO - Epoch(train) [483][ 300/1252] lr: 8.7372e-05 eta: 13:26:38 time: 0.3024 data_time: 0.0047 loss: 1.8036 03/12 22:44:32 - mmengine - INFO - Epoch(train) [483][ 400/1252] lr: 8.7372e-05 eta: 13:26:03 time: 0.2655 data_time: 0.0436 loss: 1.7551 03/12 22:45:05 - mmengine - INFO - Epoch(train) [483][ 500/1252] lr: 8.7372e-05 eta: 13:25:30 time: 0.2813 data_time: 0.0385 loss: 1.8765 03/12 22:45:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:45:38 - mmengine - INFO - Epoch(train) [483][ 600/1252] lr: 8.7372e-05 eta: 13:24:56 time: 0.2738 data_time: 0.0048 loss: 1.7095 03/12 22:46:10 - mmengine - INFO - Epoch(train) [483][ 700/1252] lr: 8.7372e-05 eta: 13:24:22 time: 0.2837 data_time: 0.0042 loss: 1.8739 03/12 22:46:43 - mmengine - INFO - Epoch(train) [483][ 800/1252] lr: 8.7372e-05 eta: 13:23:48 time: 0.2942 data_time: 0.0042 loss: 1.7727 03/12 22:47:15 - mmengine - INFO - Epoch(train) [483][ 900/1252] lr: 8.7372e-05 eta: 13:23:14 time: 0.3843 data_time: 0.0041 loss: 1.8064 03/12 22:47:47 - mmengine - INFO - Epoch(train) [483][1000/1252] lr: 8.7372e-05 eta: 13:22:39 time: 0.3035 data_time: 0.0055 loss: 1.7527 03/12 22:48:19 - mmengine - INFO - Epoch(train) [483][1100/1252] lr: 8.7372e-05 eta: 13:22:05 time: 0.3474 data_time: 0.0044 loss: 1.7320 03/12 22:48:51 - mmengine - INFO - Epoch(train) [483][1200/1252] lr: 8.7372e-05 eta: 13:21:30 time: 0.2993 data_time: 0.0044 loss: 1.7332 03/12 22:49:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:49:07 - mmengine - INFO - Saving checkpoint at 483 epochs 03/12 22:49:30 - mmengine - INFO - Epoch(val) [483][49/49] accuracy/top1: 66.7640 accuracy/top5: 87.0040 03/12 22:50:04 - mmengine - INFO - Epoch(train) [484][ 100/1252] lr: 8.7372e-05 eta: 13:20:40 time: 0.2900 data_time: 0.0601 loss: 1.7773 03/12 22:50:36 - mmengine - INFO - Epoch(train) [484][ 200/1252] lr: 8.7372e-05 eta: 13:20:05 time: 0.2840 data_time: 0.0050 loss: 1.7324 03/12 22:51:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:51:08 - mmengine - INFO - Epoch(train) [484][ 300/1252] lr: 8.7372e-05 eta: 13:19:31 time: 0.3011 data_time: 0.0045 loss: 1.7017 03/12 22:51:41 - mmengine - INFO - Epoch(train) [484][ 400/1252] lr: 8.7372e-05 eta: 13:18:57 time: 0.3203 data_time: 0.0043 loss: 1.7772 03/12 22:52:13 - mmengine - INFO - Epoch(train) [484][ 500/1252] lr: 8.7372e-05 eta: 13:18:22 time: 0.3354 data_time: 0.0042 loss: 1.6797 03/12 22:52:45 - mmengine - INFO - Epoch(train) [484][ 600/1252] lr: 8.7372e-05 eta: 13:17:47 time: 0.3271 data_time: 0.0043 loss: 1.8221 03/12 22:53:18 - mmengine - INFO - Epoch(train) [484][ 700/1252] lr: 8.7372e-05 eta: 13:17:14 time: 0.3011 data_time: 0.1616 loss: 1.8620 03/12 22:53:49 - mmengine - INFO - Epoch(train) [484][ 800/1252] lr: 8.7372e-05 eta: 13:16:39 time: 0.2852 data_time: 0.0753 loss: 1.7398 03/12 22:54:21 - mmengine - INFO - Epoch(train) [484][ 900/1252] lr: 8.7372e-05 eta: 13:16:04 time: 0.2808 data_time: 0.0412 loss: 1.8166 03/12 22:54:54 - mmengine - INFO - Epoch(train) [484][1000/1252] lr: 8.7372e-05 eta: 13:15:30 time: 0.2938 data_time: 0.0043 loss: 1.8190 03/12 22:55:26 - mmengine - INFO - Epoch(train) [484][1100/1252] lr: 8.7372e-05 eta: 13:14:56 time: 0.3420 data_time: 0.0082 loss: 1.7765 03/12 22:55:57 - mmengine - INFO - Epoch(train) [484][1200/1252] lr: 8.7372e-05 eta: 13:14:20 time: 0.2647 data_time: 0.0046 loss: 1.7931 03/12 22:56:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:56:14 - mmengine - INFO - Saving checkpoint at 484 epochs 03/12 22:56:36 - mmengine - INFO - Epoch(val) [484][49/49] accuracy/top1: 66.8820 accuracy/top5: 87.0220 03/12 22:56:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 22:57:10 - mmengine - INFO - Epoch(train) [485][ 100/1252] lr: 8.5013e-05 eta: 13:13:31 time: 0.2972 data_time: 0.1628 loss: 1.7244 03/12 22:57:43 - mmengine - INFO - Epoch(train) [485][ 200/1252] lr: 8.5013e-05 eta: 13:12:57 time: 0.3241 data_time: 0.0052 loss: 1.7837 03/12 22:58:14 - mmengine - INFO - Epoch(train) [485][ 300/1252] lr: 8.5013e-05 eta: 13:12:22 time: 0.2967 data_time: 0.0333 loss: 1.8782 03/12 22:58:47 - mmengine - INFO - Epoch(train) [485][ 400/1252] lr: 8.5013e-05 eta: 13:11:48 time: 0.3029 data_time: 0.1284 loss: 1.8185 03/12 22:59:18 - mmengine - INFO - Epoch(train) [485][ 500/1252] lr: 8.5013e-05 eta: 13:11:12 time: 0.2769 data_time: 0.0048 loss: 1.7605 03/12 22:59:51 - mmengine - INFO - Epoch(train) [485][ 600/1252] lr: 8.5013e-05 eta: 13:10:39 time: 0.3481 data_time: 0.0044 loss: 1.8120 03/12 23:00:23 - mmengine - INFO - Epoch(train) [485][ 700/1252] lr: 8.5013e-05 eta: 13:10:05 time: 0.3364 data_time: 0.0042 loss: 1.8676 03/12 23:00:55 - mmengine - INFO - Epoch(train) [485][ 800/1252] lr: 8.5013e-05 eta: 13:09:30 time: 0.3274 data_time: 0.0044 loss: 1.7409 03/12 23:01:27 - mmengine - INFO - Epoch(train) [485][ 900/1252] lr: 8.5013e-05 eta: 13:08:55 time: 0.3021 data_time: 0.0055 loss: 1.8159 03/12 23:01:59 - mmengine - INFO - Epoch(train) [485][1000/1252] lr: 8.5013e-05 eta: 13:08:21 time: 0.2814 data_time: 0.0043 loss: 1.6660 03/12 23:02:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:02:32 - mmengine - INFO - Epoch(train) [485][1100/1252] lr: 8.5013e-05 eta: 13:07:48 time: 0.3154 data_time: 0.0049 loss: 1.7944 03/12 23:03:05 - mmengine - INFO - Epoch(train) [485][1200/1252] lr: 8.5013e-05 eta: 13:07:16 time: 0.3375 data_time: 0.0042 loss: 1.6461 03/12 23:03:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:03:21 - mmengine - INFO - Saving checkpoint at 485 epochs 03/12 23:03:44 - mmengine - INFO - Epoch(val) [485][49/49] accuracy/top1: 66.9280 accuracy/top5: 87.0000 03/12 23:04:19 - mmengine - INFO - Epoch(train) [486][ 100/1252] lr: 8.5013e-05 eta: 13:06:25 time: 0.3246 data_time: 0.0052 loss: 1.6627 03/12 23:04:51 - mmengine - INFO - Epoch(train) [486][ 200/1252] lr: 8.5013e-05 eta: 13:05:51 time: 0.3377 data_time: 0.0048 loss: 1.8070 03/12 23:05:23 - mmengine - INFO - Epoch(train) [486][ 300/1252] lr: 8.5013e-05 eta: 13:05:17 time: 0.2978 data_time: 0.0045 loss: 1.8360 03/12 23:05:56 - mmengine - INFO - Epoch(train) [486][ 400/1252] lr: 8.5013e-05 eta: 13:04:43 time: 0.2745 data_time: 0.0053 loss: 1.7131 03/12 23:06:27 - mmengine - INFO - Epoch(train) [486][ 500/1252] lr: 8.5013e-05 eta: 13:04:08 time: 0.2998 data_time: 0.0191 loss: 1.7008 03/12 23:07:00 - mmengine - INFO - Epoch(train) [486][ 600/1252] lr: 8.5013e-05 eta: 13:03:34 time: 0.3257 data_time: 0.0348 loss: 1.7558 03/12 23:07:32 - mmengine - INFO - Epoch(train) [486][ 700/1252] lr: 8.5013e-05 eta: 13:02:59 time: 0.3345 data_time: 0.0046 loss: 1.8504 03/12 23:07:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:08:04 - mmengine - INFO - Epoch(train) [486][ 800/1252] lr: 8.5013e-05 eta: 13:02:26 time: 0.3663 data_time: 0.0163 loss: 1.8562 03/12 23:08:36 - mmengine - INFO - Epoch(train) [486][ 900/1252] lr: 8.5013e-05 eta: 13:01:51 time: 0.2995 data_time: 0.0047 loss: 1.7483 03/12 23:09:09 - mmengine - INFO - Epoch(train) [486][1000/1252] lr: 8.5013e-05 eta: 13:01:18 time: 0.3164 data_time: 0.1846 loss: 1.7604 03/12 23:09:42 - mmengine - INFO - Epoch(train) [486][1100/1252] lr: 8.5013e-05 eta: 13:00:45 time: 0.3838 data_time: 0.0043 loss: 1.7461 03/12 23:10:13 - mmengine - INFO - Epoch(train) [486][1200/1252] lr: 8.5013e-05 eta: 13:00:09 time: 0.2831 data_time: 0.1563 loss: 1.8196 03/12 23:10:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:10:29 - mmengine - INFO - Saving checkpoint at 486 epochs 03/12 23:10:52 - mmengine - INFO - Epoch(val) [486][49/49] accuracy/top1: 66.7300 accuracy/top5: 86.9760 03/12 23:11:27 - mmengine - INFO - Epoch(train) [487][ 100/1252] lr: 8.2718e-05 eta: 12:59:20 time: 0.2879 data_time: 0.1440 loss: 1.6988 03/12 23:11:59 - mmengine - INFO - Epoch(train) [487][ 200/1252] lr: 8.2718e-05 eta: 12:58:45 time: 0.2809 data_time: 0.0042 loss: 1.7980 03/12 23:12:32 - mmengine - INFO - Epoch(train) [487][ 300/1252] lr: 8.2718e-05 eta: 12:58:12 time: 0.2684 data_time: 0.0041 loss: 1.7314 03/12 23:13:04 - mmengine - INFO - Epoch(train) [487][ 400/1252] lr: 8.2718e-05 eta: 12:57:38 time: 0.3545 data_time: 0.0043 loss: 1.7571 03/12 23:13:37 - mmengine - INFO - Epoch(train) [487][ 500/1252] lr: 8.2718e-05 eta: 12:57:04 time: 0.3600 data_time: 0.0048 loss: 1.7865 03/12 23:13:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:14:09 - mmengine - INFO - Epoch(train) [487][ 600/1252] lr: 8.2718e-05 eta: 12:56:30 time: 0.3367 data_time: 0.1336 loss: 1.7664 03/12 23:14:41 - mmengine - INFO - Epoch(train) [487][ 700/1252] lr: 8.2718e-05 eta: 12:55:56 time: 0.3334 data_time: 0.0050 loss: 1.8145 03/12 23:15:14 - mmengine - INFO - Epoch(train) [487][ 800/1252] lr: 8.2718e-05 eta: 12:55:22 time: 0.2721 data_time: 0.0041 loss: 1.6909 03/12 23:15:47 - mmengine - INFO - Epoch(train) [487][ 900/1252] lr: 8.2718e-05 eta: 12:54:50 time: 0.3439 data_time: 0.0040 loss: 1.8812 03/12 23:16:19 - mmengine - INFO - Epoch(train) [487][1000/1252] lr: 8.2718e-05 eta: 12:54:15 time: 0.2873 data_time: 0.0054 loss: 1.7623 03/12 23:16:52 - mmengine - INFO - Epoch(train) [487][1100/1252] lr: 8.2718e-05 eta: 12:53:42 time: 0.2659 data_time: 0.0044 loss: 1.7301 03/12 23:17:23 - mmengine - INFO - Epoch(train) [487][1200/1252] lr: 8.2718e-05 eta: 12:53:07 time: 0.3291 data_time: 0.0049 loss: 1.7789 03/12 23:17:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:17:39 - mmengine - INFO - Saving checkpoint at 487 epochs 03/12 23:18:01 - mmengine - INFO - Epoch(val) [487][49/49] accuracy/top1: 66.8480 accuracy/top5: 87.0660 03/12 23:18:37 - mmengine - INFO - Epoch(train) [488][ 100/1252] lr: 8.2718e-05 eta: 12:52:18 time: 0.3052 data_time: 0.0042 loss: 1.9051 03/12 23:19:08 - mmengine - INFO - Epoch(train) [488][ 200/1252] lr: 8.2718e-05 eta: 12:51:43 time: 0.3398 data_time: 0.1651 loss: 1.7443 03/12 23:19:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:19:41 - mmengine - INFO - Epoch(train) [488][ 300/1252] lr: 8.2718e-05 eta: 12:51:10 time: 0.3607 data_time: 0.0094 loss: 1.6901 03/12 23:20:13 - mmengine - INFO - Epoch(train) [488][ 400/1252] lr: 8.2718e-05 eta: 12:50:35 time: 0.2636 data_time: 0.0432 loss: 1.8379 03/12 23:20:45 - mmengine - INFO - Epoch(train) [488][ 500/1252] lr: 8.2718e-05 eta: 12:50:01 time: 0.3184 data_time: 0.0052 loss: 1.8537 03/12 23:21:17 - mmengine - INFO - Epoch(train) [488][ 600/1252] lr: 8.2718e-05 eta: 12:49:26 time: 0.2805 data_time: 0.0044 loss: 1.6417 03/12 23:21:49 - mmengine - INFO - Epoch(train) [488][ 700/1252] lr: 8.2718e-05 eta: 12:48:53 time: 0.3466 data_time: 0.0047 loss: 1.6570 03/12 23:22:21 - mmengine - INFO - Epoch(train) [488][ 800/1252] lr: 8.2718e-05 eta: 12:48:19 time: 0.2970 data_time: 0.0045 loss: 1.7889 03/12 23:22:54 - mmengine - INFO - Epoch(train) [488][ 900/1252] lr: 8.2718e-05 eta: 12:47:46 time: 0.3285 data_time: 0.2200 loss: 1.7463 03/12 23:23:26 - mmengine - INFO - Epoch(train) [488][1000/1252] lr: 8.2718e-05 eta: 12:47:11 time: 0.2914 data_time: 0.0046 loss: 1.7178 03/12 23:23:58 - mmengine - INFO - Epoch(train) [488][1100/1252] lr: 8.2718e-05 eta: 12:46:37 time: 0.3244 data_time: 0.0413 loss: 1.7651 03/12 23:24:30 - mmengine - INFO - Epoch(train) [488][1200/1252] lr: 8.2718e-05 eta: 12:46:02 time: 0.3168 data_time: 0.0047 loss: 1.7730 03/12 23:24:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:24:46 - mmengine - INFO - Saving checkpoint at 488 epochs 03/12 23:25:08 - mmengine - INFO - Epoch(val) [488][49/49] accuracy/top1: 66.6200 accuracy/top5: 86.8600 03/12 23:25:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:25:44 - mmengine - INFO - Epoch(train) [489][ 100/1252] lr: 8.0485e-05 eta: 12:45:14 time: 0.3322 data_time: 0.0040 loss: 1.7945 03/12 23:26:15 - mmengine - INFO - Epoch(train) [489][ 200/1252] lr: 8.0485e-05 eta: 12:44:39 time: 0.2796 data_time: 0.0045 loss: 1.7266 03/12 23:26:47 - mmengine - INFO - Epoch(train) [489][ 300/1252] lr: 8.0485e-05 eta: 12:44:04 time: 0.3448 data_time: 0.1098 loss: 1.7669 03/12 23:27:19 - mmengine - INFO - Epoch(train) [489][ 400/1252] lr: 8.0485e-05 eta: 12:43:30 time: 0.2915 data_time: 0.0323 loss: 1.8437 03/12 23:27:52 - mmengine - INFO - Epoch(train) [489][ 500/1252] lr: 8.0485e-05 eta: 12:42:56 time: 0.3177 data_time: 0.0044 loss: 1.7291 03/12 23:28:23 - mmengine - INFO - Epoch(train) [489][ 600/1252] lr: 8.0485e-05 eta: 12:42:21 time: 0.3035 data_time: 0.0042 loss: 1.6787 03/12 23:28:55 - mmengine - INFO - Epoch(train) [489][ 700/1252] lr: 8.0485e-05 eta: 12:41:47 time: 0.2800 data_time: 0.0046 loss: 1.7014 03/12 23:29:28 - mmengine - INFO - Epoch(train) [489][ 800/1252] lr: 8.0485e-05 eta: 12:41:13 time: 0.3556 data_time: 0.0961 loss: 1.6583 03/12 23:29:59 - mmengine - INFO - Epoch(train) [489][ 900/1252] lr: 8.0485e-05 eta: 12:40:38 time: 0.3130 data_time: 0.0044 loss: 1.8254 03/12 23:30:32 - mmengine - INFO - Epoch(train) [489][1000/1252] lr: 8.0485e-05 eta: 12:40:05 time: 0.3206 data_time: 0.0056 loss: 1.7480 03/12 23:30:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:31:04 - mmengine - INFO - Epoch(train) [489][1100/1252] lr: 8.0485e-05 eta: 12:39:30 time: 0.2745 data_time: 0.0046 loss: 1.7688 03/12 23:31:36 - mmengine - INFO - Epoch(train) [489][1200/1252] lr: 8.0485e-05 eta: 12:38:56 time: 0.3099 data_time: 0.0044 loss: 1.7704 03/12 23:31:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:31:52 - mmengine - INFO - Saving checkpoint at 489 epochs 03/12 23:32:15 - mmengine - INFO - Epoch(val) [489][49/49] accuracy/top1: 66.6900 accuracy/top5: 87.0380 03/12 23:32:50 - mmengine - INFO - Epoch(train) [490][ 100/1252] lr: 8.0485e-05 eta: 12:38:09 time: 0.3863 data_time: 0.0087 loss: 1.8000 03/12 23:33:23 - mmengine - INFO - Epoch(train) [490][ 200/1252] lr: 8.0485e-05 eta: 12:37:35 time: 0.3332 data_time: 0.0055 loss: 1.6744 03/12 23:33:55 - mmengine - INFO - Epoch(train) [490][ 300/1252] lr: 8.0485e-05 eta: 12:37:01 time: 0.2762 data_time: 0.0990 loss: 1.6888 03/12 23:34:28 - mmengine - INFO - Epoch(train) [490][ 400/1252] lr: 8.0485e-05 eta: 12:36:28 time: 0.3321 data_time: 0.0043 loss: 1.6793 03/12 23:35:00 - mmengine - INFO - Epoch(train) [490][ 500/1252] lr: 8.0485e-05 eta: 12:35:54 time: 0.3851 data_time: 0.0047 loss: 1.8145 03/12 23:35:31 - mmengine - INFO - Epoch(train) [490][ 600/1252] lr: 8.0485e-05 eta: 12:35:19 time: 0.3002 data_time: 0.0049 loss: 1.7978 03/12 23:36:04 - mmengine - INFO - Epoch(train) [490][ 700/1252] lr: 8.0485e-05 eta: 12:34:45 time: 0.2640 data_time: 0.0134 loss: 1.7243 03/12 23:36:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:36:36 - mmengine - INFO - Epoch(train) [490][ 800/1252] lr: 8.0485e-05 eta: 12:34:11 time: 0.2902 data_time: 0.0044 loss: 1.7742 03/12 23:37:08 - mmengine - INFO - Epoch(train) [490][ 900/1252] lr: 8.0485e-05 eta: 12:33:37 time: 0.2832 data_time: 0.0708 loss: 1.8620 03/12 23:37:41 - mmengine - INFO - Epoch(train) [490][1000/1252] lr: 8.0485e-05 eta: 12:33:04 time: 0.3012 data_time: 0.0043 loss: 1.7506 03/12 23:38:13 - mmengine - INFO - Epoch(train) [490][1100/1252] lr: 8.0485e-05 eta: 12:32:29 time: 0.2981 data_time: 0.0220 loss: 1.6849 03/12 23:38:45 - mmengine - INFO - Epoch(train) [490][1200/1252] lr: 8.0485e-05 eta: 12:31:56 time: 0.2786 data_time: 0.0051 loss: 1.7376 03/12 23:39:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:39:01 - mmengine - INFO - Saving checkpoint at 490 epochs 03/12 23:39:24 - mmengine - INFO - Epoch(val) [490][49/49] accuracy/top1: 66.7780 accuracy/top5: 87.0920 03/12 23:39:58 - mmengine - INFO - Epoch(train) [491][ 100/1252] lr: 7.8312e-05 eta: 12:31:05 time: 0.2712 data_time: 0.0046 loss: 1.8348 03/12 23:40:31 - mmengine - INFO - Epoch(train) [491][ 200/1252] lr: 7.8312e-05 eta: 12:30:33 time: 0.3681 data_time: 0.0335 loss: 1.6787 03/12 23:41:02 - mmengine - INFO - Epoch(train) [491][ 300/1252] lr: 7.8312e-05 eta: 12:29:58 time: 0.3124 data_time: 0.0044 loss: 1.7759 03/12 23:41:35 - mmengine - INFO - Epoch(train) [491][ 400/1252] lr: 7.8312e-05 eta: 12:29:24 time: 0.2822 data_time: 0.0046 loss: 1.6859 03/12 23:42:07 - mmengine - INFO - Epoch(train) [491][ 500/1252] lr: 7.8312e-05 eta: 12:28:51 time: 0.2885 data_time: 0.0046 loss: 1.8271 03/12 23:42:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:42:39 - mmengine - INFO - Epoch(train) [491][ 600/1252] lr: 7.8312e-05 eta: 12:28:16 time: 0.3010 data_time: 0.1474 loss: 1.7521 03/12 23:43:12 - mmengine - INFO - Epoch(train) [491][ 700/1252] lr: 7.8312e-05 eta: 12:27:42 time: 0.3032 data_time: 0.0355 loss: 1.7341 03/12 23:43:43 - mmengine - INFO - Epoch(train) [491][ 800/1252] lr: 7.8312e-05 eta: 12:27:08 time: 0.2892 data_time: 0.0654 loss: 1.8294 03/12 23:44:16 - mmengine - INFO - Epoch(train) [491][ 900/1252] lr: 7.8312e-05 eta: 12:26:34 time: 0.3029 data_time: 0.0045 loss: 1.7909 03/12 23:44:48 - mmengine - INFO - Epoch(train) [491][1000/1252] lr: 7.8312e-05 eta: 12:26:00 time: 0.3291 data_time: 0.0239 loss: 1.7810 03/12 23:45:20 - mmengine - INFO - Epoch(train) [491][1100/1252] lr: 7.8312e-05 eta: 12:25:27 time: 0.3654 data_time: 0.0043 loss: 1.8171 03/12 23:45:52 - mmengine - INFO - Epoch(train) [491][1200/1252] lr: 7.8312e-05 eta: 12:24:52 time: 0.2823 data_time: 0.1622 loss: 1.6799 03/12 23:46:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:46:09 - mmengine - INFO - Saving checkpoint at 491 epochs 03/12 23:46:32 - mmengine - INFO - Epoch(val) [491][49/49] accuracy/top1: 66.7960 accuracy/top5: 87.0840 03/12 23:47:06 - mmengine - INFO - Epoch(train) [492][ 100/1252] lr: 7.8312e-05 eta: 12:24:04 time: 0.3312 data_time: 0.0390 loss: 1.7679 03/12 23:47:39 - mmengine - INFO - Epoch(train) [492][ 200/1252] lr: 7.8312e-05 eta: 12:23:31 time: 0.2937 data_time: 0.0043 loss: 1.7825 03/12 23:48:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:48:11 - mmengine - INFO - Epoch(train) [492][ 300/1252] lr: 7.8312e-05 eta: 12:22:56 time: 0.2614 data_time: 0.0046 loss: 1.8050 03/12 23:48:43 - mmengine - INFO - Epoch(train) [492][ 400/1252] lr: 7.8312e-05 eta: 12:22:23 time: 0.3491 data_time: 0.0046 loss: 1.8627 03/12 23:49:16 - mmengine - INFO - Epoch(train) [492][ 500/1252] lr: 7.8312e-05 eta: 12:21:50 time: 0.3487 data_time: 0.0046 loss: 1.8423 03/12 23:49:48 - mmengine - INFO - Epoch(train) [492][ 600/1252] lr: 7.8312e-05 eta: 12:21:17 time: 0.3740 data_time: 0.0041 loss: 1.7680 03/12 23:50:20 - mmengine - INFO - Epoch(train) [492][ 700/1252] lr: 7.8312e-05 eta: 12:20:42 time: 0.3406 data_time: 0.1887 loss: 1.7547 03/12 23:50:52 - mmengine - INFO - Epoch(train) [492][ 800/1252] lr: 7.8312e-05 eta: 12:20:08 time: 0.3286 data_time: 0.0543 loss: 1.6959 03/12 23:51:25 - mmengine - INFO - Epoch(train) [492][ 900/1252] lr: 7.8312e-05 eta: 12:19:34 time: 0.3092 data_time: 0.0048 loss: 1.7651 03/12 23:51:57 - mmengine - INFO - Epoch(train) [492][1000/1252] lr: 7.8312e-05 eta: 12:19:01 time: 0.3743 data_time: 0.0047 loss: 1.8094 03/12 23:52:29 - mmengine - INFO - Epoch(train) [492][1100/1252] lr: 7.8312e-05 eta: 12:18:26 time: 0.2992 data_time: 0.0107 loss: 1.7193 03/12 23:53:01 - mmengine - INFO - Epoch(train) [492][1200/1252] lr: 7.8312e-05 eta: 12:17:53 time: 0.3343 data_time: 0.0044 loss: 1.8014 03/12 23:53:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:53:17 - mmengine - INFO - Saving checkpoint at 492 epochs 03/12 23:53:39 - mmengine - INFO - Epoch(val) [492][49/49] accuracy/top1: 66.7700 accuracy/top5: 86.9540 03/12 23:53:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:54:14 - mmengine - INFO - Epoch(train) [493][ 100/1252] lr: 7.6197e-05 eta: 12:17:03 time: 0.2649 data_time: 0.1472 loss: 1.7389 03/12 23:54:46 - mmengine - INFO - Epoch(train) [493][ 200/1252] lr: 7.6197e-05 eta: 12:16:29 time: 0.2999 data_time: 0.0046 loss: 1.7434 03/12 23:55:19 - mmengine - INFO - Epoch(train) [493][ 300/1252] lr: 7.6197e-05 eta: 12:15:56 time: 0.3647 data_time: 0.0045 loss: 1.6302 03/12 23:55:50 - mmengine - INFO - Epoch(train) [493][ 400/1252] lr: 7.6197e-05 eta: 12:15:21 time: 0.2926 data_time: 0.0046 loss: 1.7837 03/12 23:56:22 - mmengine - INFO - Epoch(train) [493][ 500/1252] lr: 7.6197e-05 eta: 12:14:47 time: 0.3251 data_time: 0.0082 loss: 1.6932 03/12 23:56:55 - mmengine - INFO - Epoch(train) [493][ 600/1252] lr: 7.6197e-05 eta: 12:14:13 time: 0.2910 data_time: 0.1681 loss: 1.7572 03/12 23:57:26 - mmengine - INFO - Epoch(train) [493][ 700/1252] lr: 7.6197e-05 eta: 12:13:39 time: 0.2908 data_time: 0.0049 loss: 1.7665 03/12 23:57:58 - mmengine - INFO - Epoch(train) [493][ 800/1252] lr: 7.6197e-05 eta: 12:13:05 time: 0.3243 data_time: 0.0044 loss: 1.7463 03/12 23:58:31 - mmengine - INFO - Epoch(train) [493][ 900/1252] lr: 7.6197e-05 eta: 12:12:31 time: 0.3349 data_time: 0.0616 loss: 1.6811 03/12 23:59:03 - mmengine - INFO - Epoch(train) [493][1000/1252] lr: 7.6197e-05 eta: 12:11:57 time: 0.2712 data_time: 0.0048 loss: 1.7369 03/12 23:59:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/12 23:59:35 - mmengine - INFO - Epoch(train) [493][1100/1252] lr: 7.6197e-05 eta: 12:11:23 time: 0.3526 data_time: 0.0045 loss: 1.7845 03/13 00:00:08 - mmengine - INFO - Epoch(train) [493][1200/1252] lr: 7.6197e-05 eta: 12:10:50 time: 0.3489 data_time: 0.0045 loss: 1.7669 03/13 00:00:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:00:24 - mmengine - INFO - Saving checkpoint at 493 epochs 03/13 00:00:49 - mmengine - INFO - Epoch(val) [493][49/49] accuracy/top1: 66.6780 accuracy/top5: 87.0160 03/13 00:01:26 - mmengine - INFO - Epoch(train) [494][ 100/1252] lr: 7.6197e-05 eta: 12:10:04 time: 0.3592 data_time: 0.0044 loss: 1.7489 03/13 00:01:59 - mmengine - INFO - Epoch(train) [494][ 200/1252] lr: 7.6197e-05 eta: 12:09:32 time: 0.3543 data_time: 0.0046 loss: 1.6448 03/13 00:02:32 - mmengine - INFO - Epoch(train) [494][ 300/1252] lr: 7.6197e-05 eta: 12:08:59 time: 0.3409 data_time: 0.0081 loss: 1.8341 03/13 00:03:06 - mmengine - INFO - Epoch(train) [494][ 400/1252] lr: 7.6197e-05 eta: 12:08:27 time: 0.3259 data_time: 0.0041 loss: 1.6539 03/13 00:03:38 - mmengine - INFO - Epoch(train) [494][ 500/1252] lr: 7.6197e-05 eta: 12:07:54 time: 0.3263 data_time: 0.0045 loss: 1.7310 03/13 00:04:12 - mmengine - INFO - Epoch(train) [494][ 600/1252] lr: 7.6197e-05 eta: 12:07:23 time: 0.3584 data_time: 0.0043 loss: 1.6443 03/13 00:04:45 - mmengine - INFO - Epoch(train) [494][ 700/1252] lr: 7.6197e-05 eta: 12:06:50 time: 0.3917 data_time: 0.0045 loss: 1.7233 03/13 00:05:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:05:18 - mmengine - INFO - Epoch(train) [494][ 800/1252] lr: 7.6197e-05 eta: 12:06:17 time: 0.3189 data_time: 0.0041 loss: 1.8228 03/13 00:05:51 - mmengine - INFO - Epoch(train) [494][ 900/1252] lr: 7.6197e-05 eta: 12:05:45 time: 0.2848 data_time: 0.0051 loss: 1.7717 03/13 00:06:24 - mmengine - INFO - Epoch(train) [494][1000/1252] lr: 7.6197e-05 eta: 12:05:12 time: 0.3083 data_time: 0.0038 loss: 1.7621 03/13 00:06:57 - mmengine - INFO - Epoch(train) [494][1100/1252] lr: 7.6197e-05 eta: 12:04:39 time: 0.3276 data_time: 0.0042 loss: 1.7935 03/13 00:07:31 - mmengine - INFO - Epoch(train) [494][1200/1252] lr: 7.6197e-05 eta: 12:04:08 time: 0.3426 data_time: 0.2342 loss: 1.7289 03/13 00:07:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:07:47 - mmengine - INFO - Saving checkpoint at 494 epochs 03/13 00:08:10 - mmengine - INFO - Epoch(val) [494][49/49] accuracy/top1: 66.7760 accuracy/top5: 87.0100 03/13 00:08:45 - mmengine - INFO - Epoch(train) [495][ 100/1252] lr: 7.4140e-05 eta: 12:03:18 time: 0.3581 data_time: 0.0064 loss: 1.7591 03/13 00:09:17 - mmengine - INFO - Epoch(train) [495][ 200/1252] lr: 7.4140e-05 eta: 12:02:45 time: 0.3384 data_time: 0.0049 loss: 1.7711 03/13 00:09:49 - mmengine - INFO - Epoch(train) [495][ 300/1252] lr: 7.4140e-05 eta: 12:02:11 time: 0.3148 data_time: 0.0047 loss: 1.7726 03/13 00:10:22 - mmengine - INFO - Epoch(train) [495][ 400/1252] lr: 7.4140e-05 eta: 12:01:37 time: 0.3714 data_time: 0.0673 loss: 1.7260 03/13 00:10:54 - mmengine - INFO - Epoch(train) [495][ 500/1252] lr: 7.4140e-05 eta: 12:01:03 time: 0.4105 data_time: 0.0056 loss: 1.7969 03/13 00:10:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:11:26 - mmengine - INFO - Epoch(train) [495][ 600/1252] lr: 7.4140e-05 eta: 12:00:29 time: 0.3235 data_time: 0.0045 loss: 1.7398 03/13 00:11:59 - mmengine - INFO - Epoch(train) [495][ 700/1252] lr: 7.4140e-05 eta: 11:59:57 time: 0.3416 data_time: 0.0046 loss: 1.7861 03/13 00:12:30 - mmengine - INFO - Epoch(train) [495][ 800/1252] lr: 7.4140e-05 eta: 11:59:22 time: 0.2948 data_time: 0.0077 loss: 1.6806 03/13 00:13:03 - mmengine - INFO - Epoch(train) [495][ 900/1252] lr: 7.4140e-05 eta: 11:58:49 time: 0.2860 data_time: 0.0053 loss: 1.8340 03/13 00:13:36 - mmengine - INFO - Epoch(train) [495][1000/1252] lr: 7.4140e-05 eta: 11:58:16 time: 0.2748 data_time: 0.0044 loss: 1.7665 03/13 00:14:08 - mmengine - INFO - Epoch(train) [495][1100/1252] lr: 7.4140e-05 eta: 11:57:42 time: 0.2848 data_time: 0.0046 loss: 1.7138 03/13 00:14:40 - mmengine - INFO - Epoch(train) [495][1200/1252] lr: 7.4140e-05 eta: 11:57:07 time: 0.3094 data_time: 0.0053 loss: 1.7390 03/13 00:14:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:14:56 - mmengine - INFO - Saving checkpoint at 495 epochs 03/13 00:15:19 - mmengine - INFO - Epoch(val) [495][49/49] accuracy/top1: 66.8020 accuracy/top5: 87.1080 03/13 00:15:53 - mmengine - INFO - Epoch(train) [496][ 100/1252] lr: 7.4140e-05 eta: 11:56:18 time: 0.2888 data_time: 0.0043 loss: 1.7668 03/13 00:16:26 - mmengine - INFO - Epoch(train) [496][ 200/1252] lr: 7.4140e-05 eta: 11:55:45 time: 0.3384 data_time: 0.0051 loss: 1.9090 03/13 00:16:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:16:58 - mmengine - INFO - Epoch(train) [496][ 300/1252] lr: 7.4140e-05 eta: 11:55:12 time: 0.3474 data_time: 0.0048 loss: 1.7586 03/13 00:17:30 - mmengine - INFO - Epoch(train) [496][ 400/1252] lr: 7.4140e-05 eta: 11:54:37 time: 0.3099 data_time: 0.0050 loss: 1.7888 03/13 00:18:03 - mmengine - INFO - Epoch(train) [496][ 500/1252] lr: 7.4140e-05 eta: 11:54:05 time: 0.3514 data_time: 0.0046 loss: 1.8618 03/13 00:18:34 - mmengine - INFO - Epoch(train) [496][ 600/1252] lr: 7.4140e-05 eta: 11:53:30 time: 0.3192 data_time: 0.0075 loss: 1.7279 03/13 00:19:06 - mmengine - INFO - Epoch(train) [496][ 700/1252] lr: 7.4140e-05 eta: 11:52:55 time: 0.2741 data_time: 0.0046 loss: 1.7926 03/13 00:19:38 - mmengine - INFO - Epoch(train) [496][ 800/1252] lr: 7.4140e-05 eta: 11:52:21 time: 0.3345 data_time: 0.0048 loss: 1.6714 03/13 00:20:11 - mmengine - INFO - Epoch(train) [496][ 900/1252] lr: 7.4140e-05 eta: 11:51:48 time: 0.3640 data_time: 0.1237 loss: 1.7693 03/13 00:20:43 - mmengine - INFO - Epoch(train) [496][1000/1252] lr: 7.4140e-05 eta: 11:51:14 time: 0.2983 data_time: 0.0047 loss: 1.6970 03/13 00:21:15 - mmengine - INFO - Epoch(train) [496][1100/1252] lr: 7.4140e-05 eta: 11:50:41 time: 0.3727 data_time: 0.1622 loss: 1.8287 03/13 00:21:47 - mmengine - INFO - Epoch(train) [496][1200/1252] lr: 7.4140e-05 eta: 11:50:06 time: 0.3303 data_time: 0.0052 loss: 1.6728 03/13 00:22:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:22:03 - mmengine - INFO - Saving checkpoint at 496 epochs 03/13 00:22:26 - mmengine - INFO - Epoch(val) [496][49/49] accuracy/top1: 66.9520 accuracy/top5: 87.0800 03/13 00:22:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:23:00 - mmengine - INFO - Epoch(train) [497][ 100/1252] lr: 7.2138e-05 eta: 11:49:17 time: 0.3260 data_time: 0.0046 loss: 1.7823 03/13 00:23:32 - mmengine - INFO - Epoch(train) [497][ 200/1252] lr: 7.2138e-05 eta: 11:48:43 time: 0.2910 data_time: 0.0044 loss: 1.7068 03/13 00:24:05 - mmengine - INFO - Epoch(train) [497][ 300/1252] lr: 7.2138e-05 eta: 11:48:10 time: 0.2899 data_time: 0.0044 loss: 1.7860 03/13 00:24:37 - mmengine - INFO - Epoch(train) [497][ 400/1252] lr: 7.2138e-05 eta: 11:47:36 time: 0.2933 data_time: 0.0048 loss: 1.8100 03/13 00:25:08 - mmengine - INFO - Epoch(train) [497][ 500/1252] lr: 7.2138e-05 eta: 11:47:02 time: 0.2961 data_time: 0.0055 loss: 1.7366 03/13 00:25:41 - mmengine - INFO - Epoch(train) [497][ 600/1252] lr: 7.2138e-05 eta: 11:46:28 time: 0.3336 data_time: 0.0045 loss: 1.8279 03/13 00:26:13 - mmengine - INFO - Epoch(train) [497][ 700/1252] lr: 7.2138e-05 eta: 11:45:54 time: 0.2599 data_time: 0.0044 loss: 1.8309 03/13 00:26:45 - mmengine - INFO - Epoch(train) [497][ 800/1252] lr: 7.2138e-05 eta: 11:45:20 time: 0.3220 data_time: 0.0044 loss: 1.7571 03/13 00:27:18 - mmengine - INFO - Epoch(train) [497][ 900/1252] lr: 7.2138e-05 eta: 11:44:47 time: 0.3554 data_time: 0.0049 loss: 1.8526 03/13 00:27:49 - mmengine - INFO - Epoch(train) [497][1000/1252] lr: 7.2138e-05 eta: 11:44:13 time: 0.2820 data_time: 0.0050 loss: 1.8847 03/13 00:27:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:28:22 - mmengine - INFO - Epoch(train) [497][1100/1252] lr: 7.2138e-05 eta: 11:43:40 time: 0.3265 data_time: 0.0048 loss: 1.6944 03/13 00:28:54 - mmengine - INFO - Epoch(train) [497][1200/1252] lr: 7.2138e-05 eta: 11:43:06 time: 0.2958 data_time: 0.0051 loss: 1.6755 03/13 00:29:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:29:10 - mmengine - INFO - Saving checkpoint at 497 epochs 03/13 00:29:32 - mmengine - INFO - Epoch(val) [497][49/49] accuracy/top1: 66.8660 accuracy/top5: 87.0840 03/13 00:30:06 - mmengine - INFO - Epoch(train) [498][ 100/1252] lr: 7.2138e-05 eta: 11:42:16 time: 0.3680 data_time: 0.0047 loss: 1.7856 03/13 00:30:39 - mmengine - INFO - Epoch(train) [498][ 200/1252] lr: 7.2138e-05 eta: 11:41:43 time: 0.3267 data_time: 0.0049 loss: 1.8666 03/13 00:31:10 - mmengine - INFO - Epoch(train) [498][ 300/1252] lr: 7.2138e-05 eta: 11:41:08 time: 0.2660 data_time: 0.0051 loss: 1.7483 03/13 00:31:43 - mmengine - INFO - Epoch(train) [498][ 400/1252] lr: 7.2138e-05 eta: 11:40:35 time: 0.3181 data_time: 0.0046 loss: 1.7984 03/13 00:32:15 - mmengine - INFO - Epoch(train) [498][ 500/1252] lr: 7.2138e-05 eta: 11:40:01 time: 0.3031 data_time: 0.0046 loss: 1.8406 03/13 00:32:48 - mmengine - INFO - Epoch(train) [498][ 600/1252] lr: 7.2138e-05 eta: 11:39:29 time: 0.3976 data_time: 0.0041 loss: 1.8146 03/13 00:33:19 - mmengine - INFO - Epoch(train) [498][ 700/1252] lr: 7.2138e-05 eta: 11:38:53 time: 0.3000 data_time: 0.1149 loss: 1.7444 03/13 00:33:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:33:51 - mmengine - INFO - Epoch(train) [498][ 800/1252] lr: 7.2138e-05 eta: 11:38:20 time: 0.3086 data_time: 0.0051 loss: 1.7592 03/13 00:34:24 - mmengine - INFO - Epoch(train) [498][ 900/1252] lr: 7.2138e-05 eta: 11:37:47 time: 0.3189 data_time: 0.0049 loss: 1.6284 03/13 00:34:56 - mmengine - INFO - Epoch(train) [498][1000/1252] lr: 7.2138e-05 eta: 11:37:13 time: 0.2890 data_time: 0.0044 loss: 1.8441 03/13 00:35:28 - mmengine - INFO - Epoch(train) [498][1100/1252] lr: 7.2138e-05 eta: 11:36:39 time: 0.3078 data_time: 0.0050 loss: 1.8549 03/13 00:36:00 - mmengine - INFO - Epoch(train) [498][1200/1252] lr: 7.2138e-05 eta: 11:36:06 time: 0.3668 data_time: 0.0048 loss: 1.8001 03/13 00:36:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:36:17 - mmengine - INFO - Saving checkpoint at 498 epochs 03/13 00:36:40 - mmengine - INFO - Epoch(val) [498][49/49] accuracy/top1: 66.9200 accuracy/top5: 87.0340 03/13 00:37:16 - mmengine - INFO - Epoch(train) [499][ 100/1252] lr: 7.0190e-05 eta: 11:35:19 time: 0.2865 data_time: 0.1651 loss: 1.6565 03/13 00:37:50 - mmengine - INFO - Epoch(train) [499][ 200/1252] lr: 7.0190e-05 eta: 11:34:48 time: 0.4022 data_time: 0.0042 loss: 1.8434 03/13 00:38:24 - mmengine - INFO - Epoch(train) [499][ 300/1252] lr: 7.0190e-05 eta: 11:34:16 time: 0.4112 data_time: 0.0825 loss: 1.6590 03/13 00:38:58 - mmengine - INFO - Epoch(train) [499][ 400/1252] lr: 7.0190e-05 eta: 11:33:44 time: 0.3905 data_time: 0.0039 loss: 1.8690 03/13 00:39:31 - mmengine - INFO - Epoch(train) [499][ 500/1252] lr: 7.0190e-05 eta: 11:33:12 time: 0.3027 data_time: 0.0044 loss: 1.8416 03/13 00:39:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:40:05 - mmengine - INFO - Epoch(train) [499][ 600/1252] lr: 7.0190e-05 eta: 11:32:41 time: 0.3646 data_time: 0.0047 loss: 1.6474 03/13 00:40:39 - mmengine - INFO - Epoch(train) [499][ 700/1252] lr: 7.0190e-05 eta: 11:32:09 time: 0.3172 data_time: 0.0052 loss: 1.6747 03/13 00:41:13 - mmengine - INFO - Epoch(train) [499][ 800/1252] lr: 7.0190e-05 eta: 11:31:38 time: 0.3404 data_time: 0.0041 loss: 1.7872 03/13 00:41:47 - mmengine - INFO - Epoch(train) [499][ 900/1252] lr: 7.0190e-05 eta: 11:31:06 time: 0.3139 data_time: 0.0039 loss: 1.8631 03/13 00:42:21 - mmengine - INFO - Epoch(train) [499][1000/1252] lr: 7.0190e-05 eta: 11:30:35 time: 0.2964 data_time: 0.1763 loss: 1.7643 03/13 00:42:54 - mmengine - INFO - Epoch(train) [499][1100/1252] lr: 7.0190e-05 eta: 11:30:02 time: 0.3454 data_time: 0.0044 loss: 1.6701 03/13 00:43:29 - mmengine - INFO - Epoch(train) [499][1200/1252] lr: 7.0190e-05 eta: 11:29:32 time: 0.4004 data_time: 0.0039 loss: 1.7409 03/13 00:43:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:43:45 - mmengine - INFO - Saving checkpoint at 499 epochs 03/13 00:44:09 - mmengine - INFO - Epoch(val) [499][49/49] accuracy/top1: 66.8920 accuracy/top5: 87.0380 03/13 00:44:44 - mmengine - INFO - Epoch(train) [500][ 100/1252] lr: 7.0190e-05 eta: 11:28:45 time: 0.3529 data_time: 0.0058 loss: 1.7055 03/13 00:45:15 - mmengine - INFO - Epoch(train) [500][ 200/1252] lr: 7.0190e-05 eta: 11:28:10 time: 0.3087 data_time: 0.0050 loss: 1.9117 03/13 00:45:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:45:49 - mmengine - INFO - Epoch(train) [500][ 300/1252] lr: 7.0190e-05 eta: 11:27:38 time: 0.3882 data_time: 0.0045 loss: 1.7752 03/13 00:46:21 - mmengine - INFO - Epoch(train) [500][ 400/1252] lr: 7.0190e-05 eta: 11:27:04 time: 0.3060 data_time: 0.0047 loss: 1.8021 03/13 00:46:54 - mmengine - INFO - Epoch(train) [500][ 500/1252] lr: 7.0190e-05 eta: 11:26:31 time: 0.2928 data_time: 0.0045 loss: 1.6749 03/13 00:47:26 - mmengine - INFO - Epoch(train) [500][ 600/1252] lr: 7.0190e-05 eta: 11:25:58 time: 0.2649 data_time: 0.0052 loss: 1.7371 03/13 00:47:58 - mmengine - INFO - Epoch(train) [500][ 700/1252] lr: 7.0190e-05 eta: 11:25:24 time: 0.3410 data_time: 0.0048 loss: 1.8003 03/13 00:48:31 - mmengine - INFO - Epoch(train) [500][ 800/1252] lr: 7.0190e-05 eta: 11:24:50 time: 0.3734 data_time: 0.0049 loss: 1.7125 03/13 00:49:02 - mmengine - INFO - Epoch(train) [500][ 900/1252] lr: 7.0190e-05 eta: 11:24:16 time: 0.3546 data_time: 0.0583 loss: 1.7911 03/13 00:49:34 - mmengine - INFO - Epoch(train) [500][1000/1252] lr: 7.0190e-05 eta: 11:23:42 time: 0.3026 data_time: 0.0047 loss: 1.7416 03/13 00:50:07 - mmengine - INFO - Epoch(train) [500][1100/1252] lr: 7.0190e-05 eta: 11:23:09 time: 0.2662 data_time: 0.0050 loss: 1.8440 03/13 00:50:39 - mmengine - INFO - Epoch(train) [500][1200/1252] lr: 7.0190e-05 eta: 11:22:35 time: 0.3452 data_time: 0.0324 loss: 1.8364 03/13 00:50:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:50:55 - mmengine - INFO - Saving checkpoint at 500 epochs 03/13 00:51:19 - mmengine - INFO - Epoch(val) [500][49/49] accuracy/top1: 66.6860 accuracy/top5: 87.0000 03/13 00:51:54 - mmengine - INFO - Epoch(train) [501][ 100/1252] lr: 6.8295e-05 eta: 11:21:47 time: 0.3358 data_time: 0.0045 loss: 1.7377 03/13 00:52:27 - mmengine - INFO - Epoch(train) [501][ 200/1252] lr: 6.8295e-05 eta: 11:21:14 time: 0.3411 data_time: 0.0053 loss: 1.7522 03/13 00:52:58 - mmengine - INFO - Epoch(train) [501][ 300/1252] lr: 6.8295e-05 eta: 11:20:40 time: 0.3200 data_time: 0.0811 loss: 1.8129 03/13 00:53:31 - mmengine - INFO - Epoch(train) [501][ 400/1252] lr: 6.8295e-05 eta: 11:20:06 time: 0.3144 data_time: 0.0044 loss: 1.7610 03/13 00:54:04 - mmengine - INFO - Epoch(train) [501][ 500/1252] lr: 6.8295e-05 eta: 11:19:33 time: 0.3221 data_time: 0.0283 loss: 1.8005 03/13 00:54:36 - mmengine - INFO - Epoch(train) [501][ 600/1252] lr: 6.8295e-05 eta: 11:19:00 time: 0.3332 data_time: 0.0748 loss: 1.7989 03/13 00:55:08 - mmengine - INFO - Epoch(train) [501][ 700/1252] lr: 6.8295e-05 eta: 11:18:26 time: 0.3313 data_time: 0.0043 loss: 1.7275 03/13 00:55:41 - mmengine - INFO - Epoch(train) [501][ 800/1252] lr: 6.8295e-05 eta: 11:17:54 time: 0.3189 data_time: 0.1572 loss: 1.6846 03/13 00:56:12 - mmengine - INFO - Epoch(train) [501][ 900/1252] lr: 6.8295e-05 eta: 11:17:19 time: 0.2483 data_time: 0.0047 loss: 1.7301 03/13 00:56:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:56:45 - mmengine - INFO - Epoch(train) [501][1000/1252] lr: 6.8295e-05 eta: 11:16:46 time: 0.3909 data_time: 0.0045 loss: 1.6910 03/13 00:57:17 - mmengine - INFO - Epoch(train) [501][1100/1252] lr: 6.8295e-05 eta: 11:16:12 time: 0.3361 data_time: 0.0248 loss: 1.8539 03/13 00:57:50 - mmengine - INFO - Epoch(train) [501][1200/1252] lr: 6.8295e-05 eta: 11:15:39 time: 0.2842 data_time: 0.1652 loss: 1.7044 03/13 00:58:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 00:58:06 - mmengine - INFO - Saving checkpoint at 501 epochs 03/13 00:58:29 - mmengine - INFO - Epoch(val) [501][49/49] accuracy/top1: 66.8940 accuracy/top5: 87.1220 03/13 00:59:03 - mmengine - INFO - Epoch(train) [502][ 100/1252] lr: 6.8295e-05 eta: 11:14:50 time: 0.2867 data_time: 0.0163 loss: 1.8444 03/13 00:59:35 - mmengine - INFO - Epoch(train) [502][ 200/1252] lr: 6.8295e-05 eta: 11:14:16 time: 0.2604 data_time: 0.1379 loss: 1.8446 03/13 01:00:08 - mmengine - INFO - Epoch(train) [502][ 300/1252] lr: 6.8295e-05 eta: 11:13:43 time: 0.3592 data_time: 0.0041 loss: 1.8583 03/13 01:00:40 - mmengine - INFO - Epoch(train) [502][ 400/1252] lr: 6.8295e-05 eta: 11:13:09 time: 0.3178 data_time: 0.0049 loss: 1.7604 03/13 01:01:13 - mmengine - INFO - Epoch(train) [502][ 500/1252] lr: 6.8295e-05 eta: 11:12:37 time: 0.2646 data_time: 0.0051 loss: 1.7311 03/13 01:01:45 - mmengine - INFO - Epoch(train) [502][ 600/1252] lr: 6.8295e-05 eta: 11:12:03 time: 0.3273 data_time: 0.0046 loss: 1.7560 03/13 01:02:18 - mmengine - INFO - Epoch(train) [502][ 700/1252] lr: 6.8295e-05 eta: 11:11:30 time: 0.3532 data_time: 0.0056 loss: 1.7366 03/13 01:02:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:02:51 - mmengine - INFO - Epoch(train) [502][ 800/1252] lr: 6.8295e-05 eta: 11:10:57 time: 0.3389 data_time: 0.0049 loss: 1.7937 03/13 01:03:22 - mmengine - INFO - Epoch(train) [502][ 900/1252] lr: 6.8295e-05 eta: 11:10:23 time: 0.3069 data_time: 0.0051 loss: 1.8541 03/13 01:03:55 - mmengine - INFO - Epoch(train) [502][1000/1252] lr: 6.8295e-05 eta: 11:09:50 time: 0.3081 data_time: 0.1400 loss: 1.7191 03/13 01:04:27 - mmengine - INFO - Epoch(train) [502][1100/1252] lr: 6.8295e-05 eta: 11:09:16 time: 0.3106 data_time: 0.0051 loss: 1.7850 03/13 01:04:59 - mmengine - INFO - Epoch(train) [502][1200/1252] lr: 6.8295e-05 eta: 11:08:43 time: 0.3279 data_time: 0.0048 loss: 1.8103 03/13 01:05:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:05:16 - mmengine - INFO - Saving checkpoint at 502 epochs 03/13 01:05:38 - mmengine - INFO - Epoch(val) [502][49/49] accuracy/top1: 66.9220 accuracy/top5: 87.1040 03/13 01:06:12 - mmengine - INFO - Epoch(train) [503][ 100/1252] lr: 6.6451e-05 eta: 11:07:53 time: 0.2963 data_time: 0.0097 loss: 1.7319 03/13 01:06:45 - mmengine - INFO - Epoch(train) [503][ 200/1252] lr: 6.6451e-05 eta: 11:07:20 time: 0.3241 data_time: 0.0050 loss: 1.7993 03/13 01:07:17 - mmengine - INFO - Epoch(train) [503][ 300/1252] lr: 6.6451e-05 eta: 11:06:46 time: 0.3208 data_time: 0.0046 loss: 1.8588 03/13 01:07:49 - mmengine - INFO - Epoch(train) [503][ 400/1252] lr: 6.6451e-05 eta: 11:06:12 time: 0.3203 data_time: 0.0049 loss: 1.8031 03/13 01:08:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:08:21 - mmengine - INFO - Epoch(train) [503][ 500/1252] lr: 6.6451e-05 eta: 11:05:38 time: 0.3289 data_time: 0.0048 loss: 1.7366 03/13 01:08:53 - mmengine - INFO - Epoch(train) [503][ 600/1252] lr: 6.6451e-05 eta: 11:05:05 time: 0.3364 data_time: 0.0049 loss: 1.8390 03/13 01:09:25 - mmengine - INFO - Epoch(train) [503][ 700/1252] lr: 6.6451e-05 eta: 11:04:31 time: 0.3157 data_time: 0.0048 loss: 1.6757 03/13 01:09:58 - mmengine - INFO - Epoch(train) [503][ 800/1252] lr: 6.6451e-05 eta: 11:03:58 time: 0.2863 data_time: 0.1500 loss: 1.7406 03/13 01:10:29 - mmengine - INFO - Epoch(train) [503][ 900/1252] lr: 6.6451e-05 eta: 11:03:24 time: 0.3234 data_time: 0.0042 loss: 1.7294 03/13 01:11:02 - mmengine - INFO - Epoch(train) [503][1000/1252] lr: 6.6451e-05 eta: 11:02:51 time: 0.3908 data_time: 0.0050 loss: 1.6503 03/13 01:11:34 - mmengine - INFO - Epoch(train) [503][1100/1252] lr: 6.6451e-05 eta: 11:02:17 time: 0.3186 data_time: 0.0046 loss: 1.8813 03/13 01:12:06 - mmengine - INFO - Epoch(train) [503][1200/1252] lr: 6.6451e-05 eta: 11:01:44 time: 0.3260 data_time: 0.0043 loss: 1.7415 03/13 01:12:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:12:22 - mmengine - INFO - Saving checkpoint at 503 epochs 03/13 01:12:45 - mmengine - INFO - Epoch(val) [503][49/49] accuracy/top1: 66.9240 accuracy/top5: 87.1020 03/13 01:13:20 - mmengine - INFO - Epoch(train) [504][ 100/1252] lr: 6.6451e-05 eta: 11:00:55 time: 0.2962 data_time: 0.0042 loss: 1.7683 03/13 01:13:52 - mmengine - INFO - Epoch(train) [504][ 200/1252] lr: 6.6451e-05 eta: 11:00:22 time: 0.3589 data_time: 0.0045 loss: 1.7196 03/13 01:14:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:14:24 - mmengine - INFO - Epoch(train) [504][ 300/1252] lr: 6.6451e-05 eta: 10:59:48 time: 0.3171 data_time: 0.1848 loss: 1.7166 03/13 01:14:57 - mmengine - INFO - Epoch(train) [504][ 400/1252] lr: 6.6451e-05 eta: 10:59:15 time: 0.3203 data_time: 0.0720 loss: 1.8325 03/13 01:15:29 - mmengine - INFO - Epoch(train) [504][ 500/1252] lr: 6.6451e-05 eta: 10:58:41 time: 0.3097 data_time: 0.0047 loss: 1.8123 03/13 01:16:01 - mmengine - INFO - Epoch(train) [504][ 600/1252] lr: 6.6451e-05 eta: 10:58:08 time: 0.3438 data_time: 0.1335 loss: 1.9500 03/13 01:16:34 - mmengine - INFO - Epoch(train) [504][ 700/1252] lr: 6.6451e-05 eta: 10:57:34 time: 0.3256 data_time: 0.0479 loss: 1.7712 03/13 01:17:05 - mmengine - INFO - Epoch(train) [504][ 800/1252] lr: 6.6451e-05 eta: 10:57:00 time: 0.3307 data_time: 0.0051 loss: 1.6935 03/13 01:17:37 - mmengine - INFO - Epoch(train) [504][ 900/1252] lr: 6.6451e-05 eta: 10:56:26 time: 0.2967 data_time: 0.0043 loss: 1.7264 03/13 01:18:09 - mmengine - INFO - Epoch(train) [504][1000/1252] lr: 6.6451e-05 eta: 10:55:53 time: 0.3091 data_time: 0.0046 loss: 1.6982 03/13 01:18:42 - mmengine - INFO - Epoch(train) [504][1100/1252] lr: 6.6451e-05 eta: 10:55:20 time: 0.3503 data_time: 0.0051 loss: 1.6348 03/13 01:19:14 - mmengine - INFO - Epoch(train) [504][1200/1252] lr: 6.6451e-05 eta: 10:54:46 time: 0.2784 data_time: 0.0043 loss: 1.7812 03/13 01:19:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:19:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:19:30 - mmengine - INFO - Saving checkpoint at 504 epochs 03/13 01:19:53 - mmengine - INFO - Epoch(val) [504][49/49] accuracy/top1: 66.8160 accuracy/top5: 87.0080 03/13 01:20:27 - mmengine - INFO - Epoch(train) [505][ 100/1252] lr: 6.4657e-05 eta: 10:53:56 time: 0.3050 data_time: 0.0048 loss: 1.7689 03/13 01:20:59 - mmengine - INFO - Epoch(train) [505][ 200/1252] lr: 6.4657e-05 eta: 10:53:22 time: 0.3137 data_time: 0.0045 loss: 1.7481 03/13 01:21:33 - mmengine - INFO - Epoch(train) [505][ 300/1252] lr: 6.4657e-05 eta: 10:52:50 time: 0.3945 data_time: 0.0043 loss: 1.7880 03/13 01:22:04 - mmengine - INFO - Epoch(train) [505][ 400/1252] lr: 6.4657e-05 eta: 10:52:17 time: 0.3017 data_time: 0.0044 loss: 1.6352 03/13 01:22:37 - mmengine - INFO - Epoch(train) [505][ 500/1252] lr: 6.4657e-05 eta: 10:51:43 time: 0.3498 data_time: 0.0042 loss: 1.7122 03/13 01:23:09 - mmengine - INFO - Epoch(train) [505][ 600/1252] lr: 6.4657e-05 eta: 10:51:09 time: 0.2813 data_time: 0.0047 loss: 1.8029 03/13 01:23:42 - mmengine - INFO - Epoch(train) [505][ 700/1252] lr: 6.4657e-05 eta: 10:50:37 time: 0.3606 data_time: 0.0044 loss: 1.7048 03/13 01:24:13 - mmengine - INFO - Epoch(train) [505][ 800/1252] lr: 6.4657e-05 eta: 10:50:03 time: 0.2865 data_time: 0.0048 loss: 1.7424 03/13 01:24:46 - mmengine - INFO - Epoch(train) [505][ 900/1252] lr: 6.4657e-05 eta: 10:49:29 time: 0.3066 data_time: 0.0044 loss: 1.7974 03/13 01:25:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:25:18 - mmengine - INFO - Epoch(train) [505][1000/1252] lr: 6.4657e-05 eta: 10:48:56 time: 0.3350 data_time: 0.0048 loss: 1.7822 03/13 01:25:51 - mmengine - INFO - Epoch(train) [505][1100/1252] lr: 6.4657e-05 eta: 10:48:23 time: 0.3424 data_time: 0.0179 loss: 1.6992 03/13 01:26:23 - mmengine - INFO - Epoch(train) [505][1200/1252] lr: 6.4657e-05 eta: 10:47:50 time: 0.3099 data_time: 0.0046 loss: 1.7262 03/13 01:26:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:26:39 - mmengine - INFO - Saving checkpoint at 505 epochs 03/13 01:27:03 - mmengine - INFO - Epoch(val) [505][49/49] accuracy/top1: 66.8120 accuracy/top5: 87.0260 03/13 01:27:37 - mmengine - INFO - Epoch(train) [506][ 100/1252] lr: 6.4657e-05 eta: 10:47:00 time: 0.3230 data_time: 0.0105 loss: 1.8314 03/13 01:28:09 - mmengine - INFO - Epoch(train) [506][ 200/1252] lr: 6.4657e-05 eta: 10:46:27 time: 0.3226 data_time: 0.0166 loss: 1.6907 03/13 01:28:42 - mmengine - INFO - Epoch(train) [506][ 300/1252] lr: 6.4657e-05 eta: 10:45:54 time: 0.3066 data_time: 0.0048 loss: 1.7792 03/13 01:29:14 - mmengine - INFO - Epoch(train) [506][ 400/1252] lr: 6.4657e-05 eta: 10:45:21 time: 0.3218 data_time: 0.0597 loss: 1.6424 03/13 01:29:46 - mmengine - INFO - Epoch(train) [506][ 500/1252] lr: 6.4657e-05 eta: 10:44:47 time: 0.2962 data_time: 0.0049 loss: 1.7566 03/13 01:30:18 - mmengine - INFO - Epoch(train) [506][ 600/1252] lr: 6.4657e-05 eta: 10:44:13 time: 0.2926 data_time: 0.0048 loss: 1.7323 03/13 01:30:50 - mmengine - INFO - Epoch(train) [506][ 700/1252] lr: 6.4657e-05 eta: 10:43:39 time: 0.2674 data_time: 0.0253 loss: 1.7891 03/13 01:31:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:31:22 - mmengine - INFO - Epoch(train) [506][ 800/1252] lr: 6.4657e-05 eta: 10:43:06 time: 0.2782 data_time: 0.0047 loss: 1.7615 03/13 01:31:55 - mmengine - INFO - Epoch(train) [506][ 900/1252] lr: 6.4657e-05 eta: 10:42:33 time: 0.3558 data_time: 0.0046 loss: 1.7830 03/13 01:32:26 - mmengine - INFO - Epoch(train) [506][1000/1252] lr: 6.4657e-05 eta: 10:41:59 time: 0.2608 data_time: 0.0050 loss: 1.8816 03/13 01:32:59 - mmengine - INFO - Epoch(train) [506][1100/1252] lr: 6.4657e-05 eta: 10:41:26 time: 0.3515 data_time: 0.0288 loss: 1.7478 03/13 01:33:31 - mmengine - INFO - Epoch(train) [506][1200/1252] lr: 6.4657e-05 eta: 10:40:52 time: 0.2863 data_time: 0.1366 loss: 1.7420 03/13 01:33:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:33:47 - mmengine - INFO - Saving checkpoint at 506 epochs 03/13 01:34:09 - mmengine - INFO - Epoch(val) [506][49/49] accuracy/top1: 66.9000 accuracy/top5: 87.0080 03/13 01:34:44 - mmengine - INFO - Epoch(train) [507][ 100/1252] lr: 6.2911e-05 eta: 10:40:03 time: 0.3939 data_time: 0.0042 loss: 1.8342 03/13 01:35:16 - mmengine - INFO - Epoch(train) [507][ 200/1252] lr: 6.2911e-05 eta: 10:39:30 time: 0.3173 data_time: 0.0601 loss: 1.8148 03/13 01:35:49 - mmengine - INFO - Epoch(train) [507][ 300/1252] lr: 6.2911e-05 eta: 10:38:56 time: 0.3372 data_time: 0.0043 loss: 1.6862 03/13 01:36:21 - mmengine - INFO - Epoch(train) [507][ 400/1252] lr: 6.2911e-05 eta: 10:38:23 time: 0.3139 data_time: 0.0045 loss: 1.6884 03/13 01:36:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:36:53 - mmengine - INFO - Epoch(train) [507][ 500/1252] lr: 6.2911e-05 eta: 10:37:49 time: 0.3107 data_time: 0.0112 loss: 1.7468 03/13 01:37:25 - mmengine - INFO - Epoch(train) [507][ 600/1252] lr: 6.2911e-05 eta: 10:37:16 time: 0.2986 data_time: 0.0049 loss: 1.7378 03/13 01:37:58 - mmengine - INFO - Epoch(train) [507][ 700/1252] lr: 6.2911e-05 eta: 10:36:43 time: 0.2728 data_time: 0.0048 loss: 1.8506 03/13 01:38:30 - mmengine - INFO - Epoch(train) [507][ 800/1252] lr: 6.2911e-05 eta: 10:36:10 time: 0.3131 data_time: 0.0347 loss: 1.7033 03/13 01:39:02 - mmengine - INFO - Epoch(train) [507][ 900/1252] lr: 6.2911e-05 eta: 10:35:36 time: 0.3319 data_time: 0.0586 loss: 1.7621 03/13 01:39:35 - mmengine - INFO - Epoch(train) [507][1000/1252] lr: 6.2911e-05 eta: 10:35:03 time: 0.2992 data_time: 0.0052 loss: 1.8756 03/13 01:40:07 - mmengine - INFO - Epoch(train) [507][1100/1252] lr: 6.2911e-05 eta: 10:34:30 time: 0.3147 data_time: 0.1304 loss: 1.7813 03/13 01:40:39 - mmengine - INFO - Epoch(train) [507][1200/1252] lr: 6.2911e-05 eta: 10:33:56 time: 0.2983 data_time: 0.0047 loss: 1.7781 03/13 01:40:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:40:55 - mmengine - INFO - Saving checkpoint at 507 epochs 03/13 01:41:17 - mmengine - INFO - Epoch(val) [507][49/49] accuracy/top1: 66.8000 accuracy/top5: 87.0040 03/13 01:41:52 - mmengine - INFO - Epoch(train) [508][ 100/1252] lr: 6.2911e-05 eta: 10:33:07 time: 0.3319 data_time: 0.0285 loss: 1.7627 03/13 01:42:24 - mmengine - INFO - Epoch(train) [508][ 200/1252] lr: 6.2911e-05 eta: 10:32:33 time: 0.2904 data_time: 0.0050 loss: 1.7287 03/13 01:42:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:42:56 - mmengine - INFO - Epoch(train) [508][ 300/1252] lr: 6.2911e-05 eta: 10:32:00 time: 0.2642 data_time: 0.0532 loss: 1.6350 03/13 01:43:28 - mmengine - INFO - Epoch(train) [508][ 400/1252] lr: 6.2911e-05 eta: 10:31:27 time: 0.2980 data_time: 0.0640 loss: 1.8159 03/13 01:44:01 - mmengine - INFO - Epoch(train) [508][ 500/1252] lr: 6.2911e-05 eta: 10:30:53 time: 0.3269 data_time: 0.0326 loss: 1.7598 03/13 01:44:33 - mmengine - INFO - Epoch(train) [508][ 600/1252] lr: 6.2911e-05 eta: 10:30:20 time: 0.2690 data_time: 0.0464 loss: 1.7270 03/13 01:45:05 - mmengine - INFO - Epoch(train) [508][ 700/1252] lr: 6.2911e-05 eta: 10:29:46 time: 0.2799 data_time: 0.0047 loss: 1.7419 03/13 01:45:38 - mmengine - INFO - Epoch(train) [508][ 800/1252] lr: 6.2911e-05 eta: 10:29:14 time: 0.3001 data_time: 0.0050 loss: 1.7633 03/13 01:46:09 - mmengine - INFO - Epoch(train) [508][ 900/1252] lr: 6.2911e-05 eta: 10:28:39 time: 0.3007 data_time: 0.0051 loss: 1.8473 03/13 01:46:42 - mmengine - INFO - Epoch(train) [508][1000/1252] lr: 6.2911e-05 eta: 10:28:07 time: 0.3150 data_time: 0.0044 loss: 1.8071 03/13 01:47:15 - mmengine - INFO - Epoch(train) [508][1100/1252] lr: 6.2911e-05 eta: 10:27:34 time: 0.3480 data_time: 0.0122 loss: 1.7831 03/13 01:47:46 - mmengine - INFO - Epoch(train) [508][1200/1252] lr: 6.2911e-05 eta: 10:27:00 time: 0.3372 data_time: 0.0048 loss: 1.6866 03/13 01:47:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:48:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:48:02 - mmengine - INFO - Saving checkpoint at 508 epochs 03/13 01:48:25 - mmengine - INFO - Epoch(val) [508][49/49] accuracy/top1: 66.8340 accuracy/top5: 87.0360 03/13 01:49:00 - mmengine - INFO - Epoch(train) [509][ 100/1252] lr: 6.1213e-05 eta: 10:26:11 time: 0.3344 data_time: 0.0048 loss: 1.7813 03/13 01:49:32 - mmengine - INFO - Epoch(train) [509][ 200/1252] lr: 6.1213e-05 eta: 10:25:37 time: 0.2805 data_time: 0.0052 loss: 1.7411 03/13 01:50:04 - mmengine - INFO - Epoch(train) [509][ 300/1252] lr: 6.1213e-05 eta: 10:25:04 time: 0.2834 data_time: 0.0042 loss: 1.7818 03/13 01:50:36 - mmengine - INFO - Epoch(train) [509][ 400/1252] lr: 6.1213e-05 eta: 10:24:30 time: 0.3160 data_time: 0.0051 loss: 1.6722 03/13 01:51:08 - mmengine - INFO - Epoch(train) [509][ 500/1252] lr: 6.1213e-05 eta: 10:23:57 time: 0.3403 data_time: 0.0045 loss: 1.8051 03/13 01:51:40 - mmengine - INFO - Epoch(train) [509][ 600/1252] lr: 6.1213e-05 eta: 10:23:24 time: 0.3358 data_time: 0.0581 loss: 1.7867 03/13 01:52:13 - mmengine - INFO - Epoch(train) [509][ 700/1252] lr: 6.1213e-05 eta: 10:22:51 time: 0.2967 data_time: 0.0046 loss: 1.7100 03/13 01:52:45 - mmengine - INFO - Epoch(train) [509][ 800/1252] lr: 6.1213e-05 eta: 10:22:18 time: 0.3382 data_time: 0.0045 loss: 1.7187 03/13 01:53:18 - mmengine - INFO - Epoch(train) [509][ 900/1252] lr: 6.1213e-05 eta: 10:21:45 time: 0.3079 data_time: 0.0051 loss: 1.6537 03/13 01:53:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:53:50 - mmengine - INFO - Epoch(train) [509][1000/1252] lr: 6.1213e-05 eta: 10:21:11 time: 0.2828 data_time: 0.1230 loss: 1.8184 03/13 01:54:22 - mmengine - INFO - Epoch(train) [509][1100/1252] lr: 6.1213e-05 eta: 10:20:38 time: 0.3394 data_time: 0.0046 loss: 1.8095 03/13 01:54:55 - mmengine - INFO - Epoch(train) [509][1200/1252] lr: 6.1213e-05 eta: 10:20:05 time: 0.3656 data_time: 0.0626 loss: 1.8525 03/13 01:55:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:55:10 - mmengine - INFO - Saving checkpoint at 509 epochs 03/13 01:55:34 - mmengine - INFO - Epoch(val) [509][49/49] accuracy/top1: 66.8040 accuracy/top5: 87.1100 03/13 01:56:08 - mmengine - INFO - Epoch(train) [510][ 100/1252] lr: 6.1213e-05 eta: 10:19:15 time: 0.3027 data_time: 0.0045 loss: 1.6487 03/13 01:56:40 - mmengine - INFO - Epoch(train) [510][ 200/1252] lr: 6.1213e-05 eta: 10:18:41 time: 0.3198 data_time: 0.1725 loss: 1.7607 03/13 01:57:12 - mmengine - INFO - Epoch(train) [510][ 300/1252] lr: 6.1213e-05 eta: 10:18:08 time: 0.3443 data_time: 0.0056 loss: 1.6735 03/13 01:57:44 - mmengine - INFO - Epoch(train) [510][ 400/1252] lr: 6.1213e-05 eta: 10:17:35 time: 0.3401 data_time: 0.0046 loss: 1.8214 03/13 01:58:17 - mmengine - INFO - Epoch(train) [510][ 500/1252] lr: 6.1213e-05 eta: 10:17:02 time: 0.3951 data_time: 0.0042 loss: 1.7169 03/13 01:58:49 - mmengine - INFO - Epoch(train) [510][ 600/1252] lr: 6.1213e-05 eta: 10:16:28 time: 0.3346 data_time: 0.0048 loss: 1.7684 03/13 01:59:21 - mmengine - INFO - Epoch(train) [510][ 700/1252] lr: 6.1213e-05 eta: 10:15:55 time: 0.3054 data_time: 0.0045 loss: 1.7003 03/13 01:59:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 01:59:54 - mmengine - INFO - Epoch(train) [510][ 800/1252] lr: 6.1213e-05 eta: 10:15:22 time: 0.3925 data_time: 0.0175 loss: 1.7246 03/13 02:00:26 - mmengine - INFO - Epoch(train) [510][ 900/1252] lr: 6.1213e-05 eta: 10:14:49 time: 0.3394 data_time: 0.0476 loss: 1.7967 03/13 02:00:58 - mmengine - INFO - Epoch(train) [510][1000/1252] lr: 6.1213e-05 eta: 10:14:15 time: 0.3157 data_time: 0.0048 loss: 1.6818 03/13 02:01:30 - mmengine - INFO - Epoch(train) [510][1100/1252] lr: 6.1213e-05 eta: 10:13:42 time: 0.3569 data_time: 0.0233 loss: 1.7103 03/13 02:02:02 - mmengine - INFO - Epoch(train) [510][1200/1252] lr: 6.1213e-05 eta: 10:13:08 time: 0.3097 data_time: 0.0047 loss: 1.7189 03/13 02:02:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:02:18 - mmengine - INFO - Saving checkpoint at 510 epochs 03/13 02:02:41 - mmengine - INFO - Epoch(val) [510][49/49] accuracy/top1: 66.9520 accuracy/top5: 87.0660 03/13 02:03:15 - mmengine - INFO - Epoch(train) [511][ 100/1252] lr: 5.9560e-05 eta: 10:12:19 time: 0.3318 data_time: 0.0099 loss: 1.7515 03/13 02:03:47 - mmengine - INFO - Epoch(train) [511][ 200/1252] lr: 5.9560e-05 eta: 10:11:46 time: 0.3558 data_time: 0.0046 loss: 1.7101 03/13 02:04:20 - mmengine - INFO - Epoch(train) [511][ 300/1252] lr: 5.9560e-05 eta: 10:11:13 time: 0.3601 data_time: 0.0049 loss: 1.7318 03/13 02:04:51 - mmengine - INFO - Epoch(train) [511][ 400/1252] lr: 5.9560e-05 eta: 10:10:39 time: 0.2630 data_time: 0.0046 loss: 1.7768 03/13 02:05:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:05:23 - mmengine - INFO - Epoch(train) [511][ 500/1252] lr: 5.9560e-05 eta: 10:10:05 time: 0.2918 data_time: 0.0724 loss: 1.7508 03/13 02:05:56 - mmengine - INFO - Epoch(train) [511][ 600/1252] lr: 5.9560e-05 eta: 10:09:32 time: 0.3415 data_time: 0.0048 loss: 1.7592 03/13 02:06:28 - mmengine - INFO - Epoch(train) [511][ 700/1252] lr: 5.9560e-05 eta: 10:08:59 time: 0.2984 data_time: 0.1722 loss: 1.7276 03/13 02:07:00 - mmengine - INFO - Epoch(train) [511][ 800/1252] lr: 5.9560e-05 eta: 10:08:25 time: 0.2988 data_time: 0.0285 loss: 1.7454 03/13 02:07:33 - mmengine - INFO - Epoch(train) [511][ 900/1252] lr: 5.9560e-05 eta: 10:07:52 time: 0.2901 data_time: 0.0050 loss: 1.6886 03/13 02:08:04 - mmengine - INFO - Epoch(train) [511][1000/1252] lr: 5.9560e-05 eta: 10:07:19 time: 0.3073 data_time: 0.0049 loss: 1.8732 03/13 02:08:37 - mmengine - INFO - Epoch(train) [511][1100/1252] lr: 5.9560e-05 eta: 10:06:46 time: 0.3172 data_time: 0.0686 loss: 1.7406 03/13 02:09:09 - mmengine - INFO - Epoch(train) [511][1200/1252] lr: 5.9560e-05 eta: 10:06:12 time: 0.3302 data_time: 0.0806 loss: 1.7797 03/13 02:09:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:09:25 - mmengine - INFO - Saving checkpoint at 511 epochs 03/13 02:09:47 - mmengine - INFO - Epoch(val) [511][49/49] accuracy/top1: 66.9220 accuracy/top5: 87.1140 03/13 02:10:21 - mmengine - INFO - Epoch(train) [512][ 100/1252] lr: 5.9560e-05 eta: 10:05:23 time: 0.3151 data_time: 0.0050 loss: 1.7106 03/13 02:10:53 - mmengine - INFO - Epoch(train) [512][ 200/1252] lr: 5.9560e-05 eta: 10:04:49 time: 0.2989 data_time: 0.0455 loss: 1.7272 03/13 02:11:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:11:26 - mmengine - INFO - Epoch(train) [512][ 300/1252] lr: 5.9560e-05 eta: 10:04:17 time: 0.3120 data_time: 0.0051 loss: 1.7815 03/13 02:11:59 - mmengine - INFO - Epoch(train) [512][ 400/1252] lr: 5.9560e-05 eta: 10:03:44 time: 0.3310 data_time: 0.0041 loss: 1.6448 03/13 02:12:32 - mmengine - INFO - Epoch(train) [512][ 500/1252] lr: 5.9560e-05 eta: 10:03:12 time: 0.3699 data_time: 0.0048 loss: 1.7912 03/13 02:13:04 - mmengine - INFO - Epoch(train) [512][ 600/1252] lr: 5.9560e-05 eta: 10:02:38 time: 0.2934 data_time: 0.0587 loss: 1.7679 03/13 02:13:37 - mmengine - INFO - Epoch(train) [512][ 700/1252] lr: 5.9560e-05 eta: 10:02:05 time: 0.2831 data_time: 0.0049 loss: 1.7655 03/13 02:14:09 - mmengine - INFO - Epoch(train) [512][ 800/1252] lr: 5.9560e-05 eta: 10:01:32 time: 0.3146 data_time: 0.0806 loss: 1.7159 03/13 02:14:41 - mmengine - INFO - Epoch(train) [512][ 900/1252] lr: 5.9560e-05 eta: 10:00:58 time: 0.3458 data_time: 0.0047 loss: 1.7739 03/13 02:15:13 - mmengine - INFO - Epoch(train) [512][1000/1252] lr: 5.9560e-05 eta: 10:00:25 time: 0.3399 data_time: 0.0044 loss: 1.6530 03/13 02:15:46 - mmengine - INFO - Epoch(train) [512][1100/1252] lr: 5.9560e-05 eta: 9:59:52 time: 0.3630 data_time: 0.0051 loss: 1.8195 03/13 02:16:18 - mmengine - INFO - Epoch(train) [512][1200/1252] lr: 5.9560e-05 eta: 9:59:19 time: 0.3415 data_time: 0.0486 loss: 1.8034 03/13 02:16:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:16:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:16:34 - mmengine - INFO - Saving checkpoint at 512 epochs 03/13 02:16:58 - mmengine - INFO - Epoch(val) [512][49/49] accuracy/top1: 66.9580 accuracy/top5: 87.0940 03/13 02:17:32 - mmengine - INFO - Epoch(train) [513][ 100/1252] lr: 5.7952e-05 eta: 9:58:30 time: 0.3325 data_time: 0.0273 loss: 1.7474 03/13 02:18:04 - mmengine - INFO - Epoch(train) [513][ 200/1252] lr: 5.7952e-05 eta: 9:57:57 time: 0.3453 data_time: 0.0046 loss: 1.7872 03/13 02:18:37 - mmengine - INFO - Epoch(train) [513][ 300/1252] lr: 5.7952e-05 eta: 9:57:23 time: 0.3211 data_time: 0.0045 loss: 1.6766 03/13 02:19:09 - mmengine - INFO - Epoch(train) [513][ 400/1252] lr: 5.7952e-05 eta: 9:56:50 time: 0.3122 data_time: 0.1466 loss: 1.8505 03/13 02:19:41 - mmengine - INFO - Epoch(train) [513][ 500/1252] lr: 5.7952e-05 eta: 9:56:17 time: 0.3112 data_time: 0.0047 loss: 1.8488 03/13 02:20:14 - mmengine - INFO - Epoch(train) [513][ 600/1252] lr: 5.7952e-05 eta: 9:55:44 time: 0.3155 data_time: 0.0049 loss: 1.7609 03/13 02:20:47 - mmengine - INFO - Epoch(train) [513][ 700/1252] lr: 5.7952e-05 eta: 9:55:11 time: 0.2987 data_time: 0.0570 loss: 1.7694 03/13 02:21:19 - mmengine - INFO - Epoch(train) [513][ 800/1252] lr: 5.7952e-05 eta: 9:54:38 time: 0.3246 data_time: 0.0053 loss: 1.7003 03/13 02:21:51 - mmengine - INFO - Epoch(train) [513][ 900/1252] lr: 5.7952e-05 eta: 9:54:05 time: 0.3384 data_time: 0.0047 loss: 1.7303 03/13 02:22:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:22:23 - mmengine - INFO - Epoch(train) [513][1000/1252] lr: 5.7952e-05 eta: 9:53:31 time: 0.2996 data_time: 0.0042 loss: 1.7609 03/13 02:22:55 - mmengine - INFO - Epoch(train) [513][1100/1252] lr: 5.7952e-05 eta: 9:52:59 time: 0.3083 data_time: 0.0046 loss: 1.7548 03/13 02:23:28 - mmengine - INFO - Epoch(train) [513][1200/1252] lr: 5.7952e-05 eta: 9:52:25 time: 0.3000 data_time: 0.0045 loss: 1.6896 03/13 02:23:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:23:44 - mmengine - INFO - Saving checkpoint at 513 epochs 03/13 02:24:06 - mmengine - INFO - Epoch(val) [513][49/49] accuracy/top1: 66.8520 accuracy/top5: 87.1300 03/13 02:24:41 - mmengine - INFO - Epoch(train) [514][ 100/1252] lr: 5.7952e-05 eta: 9:51:36 time: 0.3343 data_time: 0.0599 loss: 1.7348 03/13 02:25:13 - mmengine - INFO - Epoch(train) [514][ 200/1252] lr: 5.7952e-05 eta: 9:51:02 time: 0.3674 data_time: 0.1290 loss: 1.7485 03/13 02:25:45 - mmengine - INFO - Epoch(train) [514][ 300/1252] lr: 5.7952e-05 eta: 9:50:29 time: 0.3243 data_time: 0.0046 loss: 1.7689 03/13 02:26:16 - mmengine - INFO - Epoch(train) [514][ 400/1252] lr: 5.7952e-05 eta: 9:49:55 time: 0.3041 data_time: 0.0117 loss: 1.8884 03/13 02:26:49 - mmengine - INFO - Epoch(train) [514][ 500/1252] lr: 5.7952e-05 eta: 9:49:22 time: 0.3063 data_time: 0.0132 loss: 1.8777 03/13 02:27:21 - mmengine - INFO - Epoch(train) [514][ 600/1252] lr: 5.7952e-05 eta: 9:48:49 time: 0.2981 data_time: 0.0044 loss: 1.8202 03/13 02:27:53 - mmengine - INFO - Epoch(train) [514][ 700/1252] lr: 5.7952e-05 eta: 9:48:16 time: 0.3043 data_time: 0.0045 loss: 1.7596 03/13 02:28:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:28:26 - mmengine - INFO - Epoch(train) [514][ 800/1252] lr: 5.7952e-05 eta: 9:47:43 time: 0.2964 data_time: 0.0056 loss: 1.7021 03/13 02:28:58 - mmengine - INFO - Epoch(train) [514][ 900/1252] lr: 5.7952e-05 eta: 9:47:10 time: 0.3541 data_time: 0.0049 loss: 1.7804 03/13 02:29:30 - mmengine - INFO - Epoch(train) [514][1000/1252] lr: 5.7952e-05 eta: 9:46:36 time: 0.3191 data_time: 0.0047 loss: 1.7029 03/13 02:30:01 - mmengine - INFO - Epoch(train) [514][1100/1252] lr: 5.7952e-05 eta: 9:46:02 time: 0.2759 data_time: 0.0047 loss: 1.7000 03/13 02:30:35 - mmengine - INFO - Epoch(train) [514][1200/1252] lr: 5.7952e-05 eta: 9:45:30 time: 0.3998 data_time: 0.1018 loss: 1.8564 03/13 02:30:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:30:50 - mmengine - INFO - Saving checkpoint at 514 epochs 03/13 02:31:12 - mmengine - INFO - Epoch(val) [514][49/49] accuracy/top1: 66.8720 accuracy/top5: 87.0460 03/13 02:31:47 - mmengine - INFO - Epoch(train) [515][ 100/1252] lr: 5.6387e-05 eta: 9:44:41 time: 0.3757 data_time: 0.0054 loss: 1.7218 03/13 02:32:19 - mmengine - INFO - Epoch(train) [515][ 200/1252] lr: 5.6387e-05 eta: 9:44:07 time: 0.3358 data_time: 0.0045 loss: 1.8284 03/13 02:32:51 - mmengine - INFO - Epoch(train) [515][ 300/1252] lr: 5.6387e-05 eta: 9:43:34 time: 0.2940 data_time: 0.0047 loss: 1.7976 03/13 02:33:23 - mmengine - INFO - Epoch(train) [515][ 400/1252] lr: 5.6387e-05 eta: 9:43:00 time: 0.3301 data_time: 0.0047 loss: 1.7955 03/13 02:33:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:33:56 - mmengine - INFO - Epoch(train) [515][ 500/1252] lr: 5.6387e-05 eta: 9:42:27 time: 0.3718 data_time: 0.0046 loss: 1.6804 03/13 02:34:27 - mmengine - INFO - Epoch(train) [515][ 600/1252] lr: 5.6387e-05 eta: 9:41:54 time: 0.3092 data_time: 0.0046 loss: 1.7070 03/13 02:34:59 - mmengine - INFO - Epoch(train) [515][ 700/1252] lr: 5.6387e-05 eta: 9:41:20 time: 0.2998 data_time: 0.0052 loss: 1.7028 03/13 02:35:32 - mmengine - INFO - Epoch(train) [515][ 800/1252] lr: 5.6387e-05 eta: 9:40:47 time: 0.3797 data_time: 0.0045 loss: 1.6931 03/13 02:36:04 - mmengine - INFO - Epoch(train) [515][ 900/1252] lr: 5.6387e-05 eta: 9:40:14 time: 0.3169 data_time: 0.0048 loss: 1.7200 03/13 02:36:36 - mmengine - INFO - Epoch(train) [515][1000/1252] lr: 5.6387e-05 eta: 9:39:41 time: 0.2656 data_time: 0.0050 loss: 1.7347 03/13 02:37:09 - mmengine - INFO - Epoch(train) [515][1100/1252] lr: 5.6387e-05 eta: 9:39:08 time: 0.3479 data_time: 0.1785 loss: 1.8799 03/13 02:37:41 - mmengine - INFO - Epoch(train) [515][1200/1252] lr: 5.6387e-05 eta: 9:38:35 time: 0.2925 data_time: 0.0050 loss: 1.7762 03/13 02:37:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:37:57 - mmengine - INFO - Saving checkpoint at 515 epochs 03/13 02:38:20 - mmengine - INFO - Epoch(val) [515][49/49] accuracy/top1: 66.9380 accuracy/top5: 86.9880 03/13 02:38:56 - mmengine - INFO - Epoch(train) [516][ 100/1252] lr: 5.6387e-05 eta: 9:37:47 time: 0.3144 data_time: 0.0042 loss: 1.7178 03/13 02:39:29 - mmengine - INFO - Epoch(train) [516][ 200/1252] lr: 5.6387e-05 eta: 9:37:15 time: 0.2733 data_time: 0.0047 loss: 1.7513 03/13 02:39:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:40:02 - mmengine - INFO - Epoch(train) [516][ 300/1252] lr: 5.6387e-05 eta: 9:36:42 time: 0.2984 data_time: 0.0041 loss: 1.6833 03/13 02:40:35 - mmengine - INFO - Epoch(train) [516][ 400/1252] lr: 5.6387e-05 eta: 9:36:10 time: 0.3010 data_time: 0.0091 loss: 1.6541 03/13 02:41:09 - mmengine - INFO - Epoch(train) [516][ 500/1252] lr: 5.6387e-05 eta: 9:35:38 time: 0.3689 data_time: 0.2112 loss: 1.7994 03/13 02:41:41 - mmengine - INFO - Epoch(train) [516][ 600/1252] lr: 5.6387e-05 eta: 9:35:05 time: 0.3082 data_time: 0.0043 loss: 1.7737 03/13 02:42:14 - mmengine - INFO - Epoch(train) [516][ 700/1252] lr: 5.6387e-05 eta: 9:34:33 time: 0.2743 data_time: 0.0399 loss: 1.7798 03/13 02:42:47 - mmengine - INFO - Epoch(train) [516][ 800/1252] lr: 5.6387e-05 eta: 9:34:00 time: 0.2887 data_time: 0.0048 loss: 1.8020 03/13 02:43:20 - mmengine - INFO - Epoch(train) [516][ 900/1252] lr: 5.6387e-05 eta: 9:33:28 time: 0.3023 data_time: 0.0054 loss: 1.7080 03/13 02:43:54 - mmengine - INFO - Epoch(train) [516][1000/1252] lr: 5.6387e-05 eta: 9:32:56 time: 0.3542 data_time: 0.0040 loss: 1.8399 03/13 02:44:27 - mmengine - INFO - Epoch(train) [516][1100/1252] lr: 5.6387e-05 eta: 9:32:23 time: 0.3189 data_time: 0.0047 loss: 1.6647 03/13 02:44:59 - mmengine - INFO - Epoch(train) [516][1200/1252] lr: 5.6387e-05 eta: 9:31:50 time: 0.2576 data_time: 0.0045 loss: 1.8222 03/13 02:45:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:45:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:45:16 - mmengine - INFO - Saving checkpoint at 516 epochs 03/13 02:45:40 - mmengine - INFO - Epoch(val) [516][49/49] accuracy/top1: 66.9160 accuracy/top5: 87.1220 03/13 02:46:14 - mmengine - INFO - Epoch(train) [517][ 100/1252] lr: 5.4865e-05 eta: 9:31:02 time: 0.2805 data_time: 0.0055 loss: 1.7703 03/13 02:46:47 - mmengine - INFO - Epoch(train) [517][ 200/1252] lr: 5.4865e-05 eta: 9:30:29 time: 0.3486 data_time: 0.0058 loss: 1.7298 03/13 02:47:19 - mmengine - INFO - Epoch(train) [517][ 300/1252] lr: 5.4865e-05 eta: 9:29:56 time: 0.3051 data_time: 0.1904 loss: 1.7558 03/13 02:47:51 - mmengine - INFO - Epoch(train) [517][ 400/1252] lr: 5.4865e-05 eta: 9:29:23 time: 0.3268 data_time: 0.0993 loss: 1.8069 03/13 02:48:24 - mmengine - INFO - Epoch(train) [517][ 500/1252] lr: 5.4865e-05 eta: 9:28:49 time: 0.3436 data_time: 0.0824 loss: 1.7446 03/13 02:48:56 - mmengine - INFO - Epoch(train) [517][ 600/1252] lr: 5.4865e-05 eta: 9:28:17 time: 0.3177 data_time: 0.0047 loss: 1.7512 03/13 02:49:28 - mmengine - INFO - Epoch(train) [517][ 700/1252] lr: 5.4865e-05 eta: 9:27:43 time: 0.3440 data_time: 0.0052 loss: 1.6875 03/13 02:50:00 - mmengine - INFO - Epoch(train) [517][ 800/1252] lr: 5.4865e-05 eta: 9:27:10 time: 0.3027 data_time: 0.0048 loss: 1.6973 03/13 02:50:32 - mmengine - INFO - Epoch(train) [517][ 900/1252] lr: 5.4865e-05 eta: 9:26:36 time: 0.3138 data_time: 0.0047 loss: 1.6915 03/13 02:50:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:51:05 - mmengine - INFO - Epoch(train) [517][1000/1252] lr: 5.4865e-05 eta: 9:26:04 time: 0.3719 data_time: 0.1854 loss: 1.7970 03/13 02:51:37 - mmengine - INFO - Epoch(train) [517][1100/1252] lr: 5.4865e-05 eta: 9:25:30 time: 0.3146 data_time: 0.0051 loss: 1.8101 03/13 02:52:09 - mmengine - INFO - Epoch(train) [517][1200/1252] lr: 5.4865e-05 eta: 9:24:57 time: 0.3312 data_time: 0.0044 loss: 1.8537 03/13 02:52:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:52:26 - mmengine - INFO - Saving checkpoint at 517 epochs 03/13 02:52:49 - mmengine - INFO - Epoch(val) [517][49/49] accuracy/top1: 66.9740 accuracy/top5: 87.0000 03/13 02:53:23 - mmengine - INFO - Epoch(train) [518][ 100/1252] lr: 5.4865e-05 eta: 9:24:08 time: 0.2915 data_time: 0.0047 loss: 1.7535 03/13 02:53:55 - mmengine - INFO - Epoch(train) [518][ 200/1252] lr: 5.4865e-05 eta: 9:23:35 time: 0.2914 data_time: 0.0282 loss: 1.6985 03/13 02:54:28 - mmengine - INFO - Epoch(train) [518][ 300/1252] lr: 5.4865e-05 eta: 9:23:02 time: 0.3452 data_time: 0.0049 loss: 1.7467 03/13 02:55:00 - mmengine - INFO - Epoch(train) [518][ 400/1252] lr: 5.4865e-05 eta: 9:22:29 time: 0.2849 data_time: 0.0054 loss: 1.7514 03/13 02:55:33 - mmengine - INFO - Epoch(train) [518][ 500/1252] lr: 5.4865e-05 eta: 9:21:56 time: 0.3239 data_time: 0.0040 loss: 1.8019 03/13 02:56:05 - mmengine - INFO - Epoch(train) [518][ 600/1252] lr: 5.4865e-05 eta: 9:21:23 time: 0.2851 data_time: 0.0045 loss: 1.8780 03/13 02:56:38 - mmengine - INFO - Epoch(train) [518][ 700/1252] lr: 5.4865e-05 eta: 9:20:51 time: 0.3229 data_time: 0.0044 loss: 1.7476 03/13 02:56:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:57:11 - mmengine - INFO - Epoch(train) [518][ 800/1252] lr: 5.4865e-05 eta: 9:20:18 time: 0.3177 data_time: 0.0048 loss: 1.8385 03/13 02:57:43 - mmengine - INFO - Epoch(train) [518][ 900/1252] lr: 5.4865e-05 eta: 9:19:45 time: 0.3218 data_time: 0.0044 loss: 1.7788 03/13 02:58:15 - mmengine - INFO - Epoch(train) [518][1000/1252] lr: 5.4865e-05 eta: 9:19:11 time: 0.3164 data_time: 0.0050 loss: 1.7213 03/13 02:58:47 - mmengine - INFO - Epoch(train) [518][1100/1252] lr: 5.4865e-05 eta: 9:18:38 time: 0.3177 data_time: 0.0050 loss: 1.7278 03/13 02:59:20 - mmengine - INFO - Epoch(train) [518][1200/1252] lr: 5.4865e-05 eta: 9:18:05 time: 0.3300 data_time: 0.0052 loss: 1.7266 03/13 02:59:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 02:59:35 - mmengine - INFO - Saving checkpoint at 518 epochs 03/13 02:59:57 - mmengine - INFO - Epoch(val) [518][49/49] accuracy/top1: 66.8880 accuracy/top5: 87.0440 03/13 03:00:32 - mmengine - INFO - Epoch(train) [519][ 100/1252] lr: 5.3383e-05 eta: 9:17:16 time: 0.3484 data_time: 0.0247 loss: 1.6171 03/13 03:01:05 - mmengine - INFO - Epoch(train) [519][ 200/1252] lr: 5.3383e-05 eta: 9:16:43 time: 0.2928 data_time: 0.0045 loss: 1.6749 03/13 03:01:37 - mmengine - INFO - Epoch(train) [519][ 300/1252] lr: 5.3383e-05 eta: 9:16:10 time: 0.3378 data_time: 0.0316 loss: 1.7702 03/13 03:02:09 - mmengine - INFO - Epoch(train) [519][ 400/1252] lr: 5.3383e-05 eta: 9:15:37 time: 0.3100 data_time: 0.0293 loss: 1.6965 03/13 03:02:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:02:41 - mmengine - INFO - Epoch(train) [519][ 500/1252] lr: 5.3383e-05 eta: 9:15:03 time: 0.2943 data_time: 0.1511 loss: 1.7392 03/13 03:03:13 - mmengine - INFO - Epoch(train) [519][ 600/1252] lr: 5.3383e-05 eta: 9:14:30 time: 0.3304 data_time: 0.0046 loss: 1.7893 03/13 03:03:45 - mmengine - INFO - Epoch(train) [519][ 700/1252] lr: 5.3383e-05 eta: 9:13:57 time: 0.3119 data_time: 0.1499 loss: 1.7035 03/13 03:04:17 - mmengine - INFO - Epoch(train) [519][ 800/1252] lr: 5.3383e-05 eta: 9:13:24 time: 0.3133 data_time: 0.0884 loss: 1.8354 03/13 03:04:50 - mmengine - INFO - Epoch(train) [519][ 900/1252] lr: 5.3383e-05 eta: 9:12:51 time: 0.3014 data_time: 0.0047 loss: 1.7487 03/13 03:05:22 - mmengine - INFO - Epoch(train) [519][1000/1252] lr: 5.3383e-05 eta: 9:12:18 time: 0.3049 data_time: 0.0054 loss: 1.7781 03/13 03:05:55 - mmengine - INFO - Epoch(train) [519][1100/1252] lr: 5.3383e-05 eta: 9:11:45 time: 0.2656 data_time: 0.0045 loss: 1.7182 03/13 03:06:28 - mmengine - INFO - Epoch(train) [519][1200/1252] lr: 5.3383e-05 eta: 9:11:12 time: 0.3336 data_time: 0.0061 loss: 1.8113 03/13 03:06:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:06:44 - mmengine - INFO - Saving checkpoint at 519 epochs 03/13 03:07:06 - mmengine - INFO - Epoch(val) [519][49/49] accuracy/top1: 66.8780 accuracy/top5: 87.0680 03/13 03:07:42 - mmengine - INFO - Epoch(train) [520][ 100/1252] lr: 5.3383e-05 eta: 9:10:24 time: 0.3662 data_time: 0.1311 loss: 1.7080 03/13 03:08:15 - mmengine - INFO - Epoch(train) [520][ 200/1252] lr: 5.3383e-05 eta: 9:09:52 time: 0.3009 data_time: 0.0046 loss: 1.7616 03/13 03:08:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:08:48 - mmengine - INFO - Epoch(train) [520][ 300/1252] lr: 5.3383e-05 eta: 9:09:19 time: 0.3056 data_time: 0.0995 loss: 1.7918 03/13 03:09:21 - mmengine - INFO - Epoch(train) [520][ 400/1252] lr: 5.3383e-05 eta: 9:08:47 time: 0.3028 data_time: 0.0048 loss: 1.6418 03/13 03:09:54 - mmengine - INFO - Epoch(train) [520][ 500/1252] lr: 5.3383e-05 eta: 9:08:14 time: 0.3702 data_time: 0.2138 loss: 1.8096 03/13 03:10:27 - mmengine - INFO - Epoch(train) [520][ 600/1252] lr: 5.3383e-05 eta: 9:07:42 time: 0.3294 data_time: 0.0046 loss: 1.8039 03/13 03:11:00 - mmengine - INFO - Epoch(train) [520][ 700/1252] lr: 5.3383e-05 eta: 9:07:09 time: 0.3722 data_time: 0.0050 loss: 1.7541 03/13 03:11:32 - mmengine - INFO - Epoch(train) [520][ 800/1252] lr: 5.3383e-05 eta: 9:06:36 time: 0.3432 data_time: 0.0044 loss: 1.7097 03/13 03:12:06 - mmengine - INFO - Epoch(train) [520][ 900/1252] lr: 5.3383e-05 eta: 9:06:04 time: 0.3497 data_time: 0.0044 loss: 1.7620 03/13 03:12:38 - mmengine - INFO - Epoch(train) [520][1000/1252] lr: 5.3383e-05 eta: 9:05:31 time: 0.3912 data_time: 0.0046 loss: 1.7596 03/13 03:13:11 - mmengine - INFO - Epoch(train) [520][1100/1252] lr: 5.3383e-05 eta: 9:04:58 time: 0.2961 data_time: 0.0053 loss: 1.8263 03/13 03:13:44 - mmengine - INFO - Epoch(train) [520][1200/1252] lr: 5.3383e-05 eta: 9:04:26 time: 0.3392 data_time: 0.2206 loss: 1.7218 03/13 03:13:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:14:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:14:00 - mmengine - INFO - Saving checkpoint at 520 epochs 03/13 03:14:22 - mmengine - INFO - Epoch(val) [520][49/49] accuracy/top1: 66.7580 accuracy/top5: 86.9960 03/13 03:14:57 - mmengine - INFO - Epoch(train) [521][ 100/1252] lr: 5.1942e-05 eta: 9:03:37 time: 0.3499 data_time: 0.0052 loss: 1.8021 03/13 03:15:30 - mmengine - INFO - Epoch(train) [521][ 200/1252] lr: 5.1942e-05 eta: 9:03:04 time: 0.3804 data_time: 0.0048 loss: 1.8881 03/13 03:16:00 - mmengine - INFO - Epoch(train) [521][ 300/1252] lr: 5.1942e-05 eta: 9:02:30 time: 0.2985 data_time: 0.0051 loss: 1.7890 03/13 03:16:33 - mmengine - INFO - Epoch(train) [521][ 400/1252] lr: 5.1942e-05 eta: 9:01:57 time: 0.3558 data_time: 0.0044 loss: 1.6802 03/13 03:17:06 - mmengine - INFO - Epoch(train) [521][ 500/1252] lr: 5.1942e-05 eta: 9:01:24 time: 0.3485 data_time: 0.0049 loss: 1.7126 03/13 03:17:37 - mmengine - INFO - Epoch(train) [521][ 600/1252] lr: 5.1942e-05 eta: 9:00:51 time: 0.3271 data_time: 0.0046 loss: 1.8462 03/13 03:18:10 - mmengine - INFO - Epoch(train) [521][ 700/1252] lr: 5.1942e-05 eta: 9:00:18 time: 0.3831 data_time: 0.0051 loss: 1.8365 03/13 03:18:42 - mmengine - INFO - Epoch(train) [521][ 800/1252] lr: 5.1942e-05 eta: 8:59:45 time: 0.3397 data_time: 0.0048 loss: 1.7922 03/13 03:19:15 - mmengine - INFO - Epoch(train) [521][ 900/1252] lr: 5.1942e-05 eta: 8:59:12 time: 0.3107 data_time: 0.0046 loss: 1.7889 03/13 03:19:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:19:48 - mmengine - INFO - Epoch(train) [521][1000/1252] lr: 5.1942e-05 eta: 8:58:39 time: 0.3482 data_time: 0.1902 loss: 1.7148 03/13 03:20:20 - mmengine - INFO - Epoch(train) [521][1100/1252] lr: 5.1942e-05 eta: 8:58:06 time: 0.3339 data_time: 0.0049 loss: 1.7911 03/13 03:20:52 - mmengine - INFO - Epoch(train) [521][1200/1252] lr: 5.1942e-05 eta: 8:57:33 time: 0.3156 data_time: 0.0049 loss: 1.7449 03/13 03:21:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:21:08 - mmengine - INFO - Saving checkpoint at 521 epochs 03/13 03:21:31 - mmengine - INFO - Epoch(val) [521][49/49] accuracy/top1: 66.9180 accuracy/top5: 87.1120 03/13 03:22:06 - mmengine - INFO - Epoch(train) [522][ 100/1252] lr: 5.1942e-05 eta: 8:56:44 time: 0.3128 data_time: 0.0046 loss: 1.6412 03/13 03:22:38 - mmengine - INFO - Epoch(train) [522][ 200/1252] lr: 5.1942e-05 eta: 8:56:11 time: 0.2920 data_time: 0.0053 loss: 1.7031 03/13 03:23:12 - mmengine - INFO - Epoch(train) [522][ 300/1252] lr: 5.1942e-05 eta: 8:55:39 time: 0.3646 data_time: 0.0045 loss: 1.8517 03/13 03:23:44 - mmengine - INFO - Epoch(train) [522][ 400/1252] lr: 5.1942e-05 eta: 8:55:05 time: 0.2761 data_time: 0.0045 loss: 1.7991 03/13 03:24:16 - mmengine - INFO - Epoch(train) [522][ 500/1252] lr: 5.1942e-05 eta: 8:54:33 time: 0.3273 data_time: 0.0044 loss: 1.6844 03/13 03:24:49 - mmengine - INFO - Epoch(train) [522][ 600/1252] lr: 5.1942e-05 eta: 8:54:00 time: 0.3162 data_time: 0.0872 loss: 1.6610 03/13 03:25:21 - mmengine - INFO - Epoch(train) [522][ 700/1252] lr: 5.1942e-05 eta: 8:53:27 time: 0.3097 data_time: 0.0046 loss: 1.7708 03/13 03:25:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:25:53 - mmengine - INFO - Epoch(train) [522][ 800/1252] lr: 5.1942e-05 eta: 8:52:54 time: 0.2718 data_time: 0.0043 loss: 1.8596 03/13 03:26:25 - mmengine - INFO - Epoch(train) [522][ 900/1252] lr: 5.1942e-05 eta: 8:52:21 time: 0.2979 data_time: 0.0044 loss: 1.7997 03/13 03:26:57 - mmengine - INFO - Epoch(train) [522][1000/1252] lr: 5.1942e-05 eta: 8:51:47 time: 0.2657 data_time: 0.0047 loss: 1.6992 03/13 03:27:29 - mmengine - INFO - Epoch(train) [522][1100/1252] lr: 5.1942e-05 eta: 8:51:14 time: 0.2529 data_time: 0.1280 loss: 1.8068 03/13 03:28:02 - mmengine - INFO - Epoch(train) [522][1200/1252] lr: 5.1942e-05 eta: 8:50:41 time: 0.2670 data_time: 0.0554 loss: 1.8645 03/13 03:28:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:28:18 - mmengine - INFO - Saving checkpoint at 522 epochs 03/13 03:28:41 - mmengine - INFO - Epoch(val) [522][49/49] accuracy/top1: 67.0120 accuracy/top5: 87.0600 03/13 03:29:16 - mmengine - INFO - Epoch(train) [523][ 100/1252] lr: 5.0540e-05 eta: 8:49:53 time: 0.3352 data_time: 0.0643 loss: 1.7762 03/13 03:29:49 - mmengine - INFO - Epoch(train) [523][ 200/1252] lr: 5.0540e-05 eta: 8:49:20 time: 0.3347 data_time: 0.0044 loss: 1.7422 03/13 03:30:21 - mmengine - INFO - Epoch(train) [523][ 300/1252] lr: 5.0540e-05 eta: 8:48:47 time: 0.3324 data_time: 0.0046 loss: 1.7367 03/13 03:30:53 - mmengine - INFO - Epoch(train) [523][ 400/1252] lr: 5.0540e-05 eta: 8:48:14 time: 0.2380 data_time: 0.0060 loss: 1.7919 03/13 03:31:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:31:26 - mmengine - INFO - Epoch(train) [523][ 500/1252] lr: 5.0540e-05 eta: 8:47:41 time: 0.2619 data_time: 0.0048 loss: 1.8013 03/13 03:31:59 - mmengine - INFO - Epoch(train) [523][ 600/1252] lr: 5.0540e-05 eta: 8:47:08 time: 0.3505 data_time: 0.0047 loss: 1.7248 03/13 03:32:30 - mmengine - INFO - Epoch(train) [523][ 700/1252] lr: 5.0540e-05 eta: 8:46:35 time: 0.3511 data_time: 0.0043 loss: 1.7593 03/13 03:33:03 - mmengine - INFO - Epoch(train) [523][ 800/1252] lr: 5.0540e-05 eta: 8:46:02 time: 0.3497 data_time: 0.2282 loss: 1.8169 03/13 03:33:35 - mmengine - INFO - Epoch(train) [523][ 900/1252] lr: 5.0540e-05 eta: 8:45:29 time: 0.3207 data_time: 0.1709 loss: 1.6092 03/13 03:34:07 - mmengine - INFO - Epoch(train) [523][1000/1252] lr: 5.0540e-05 eta: 8:44:56 time: 0.3432 data_time: 0.0477 loss: 1.7685 03/13 03:34:39 - mmengine - INFO - Epoch(train) [523][1100/1252] lr: 5.0540e-05 eta: 8:44:23 time: 0.2962 data_time: 0.0049 loss: 1.7389 03/13 03:35:11 - mmengine - INFO - Epoch(train) [523][1200/1252] lr: 5.0540e-05 eta: 8:43:50 time: 0.3055 data_time: 0.0049 loss: 1.7095 03/13 03:35:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:35:28 - mmengine - INFO - Saving checkpoint at 523 epochs 03/13 03:35:51 - mmengine - INFO - Epoch(val) [523][49/49] accuracy/top1: 66.7980 accuracy/top5: 86.9960 03/13 03:36:25 - mmengine - INFO - Epoch(train) [524][ 100/1252] lr: 5.0540e-05 eta: 8:43:01 time: 0.3644 data_time: 0.0970 loss: 1.8524 03/13 03:36:57 - mmengine - INFO - Epoch(train) [524][ 200/1252] lr: 5.0540e-05 eta: 8:42:27 time: 0.2962 data_time: 0.0058 loss: 1.7900 03/13 03:36:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:37:29 - mmengine - INFO - Epoch(train) [524][ 300/1252] lr: 5.0540e-05 eta: 8:41:54 time: 0.3087 data_time: 0.0054 loss: 1.7663 03/13 03:38:01 - mmengine - INFO - Epoch(train) [524][ 400/1252] lr: 5.0540e-05 eta: 8:41:21 time: 0.2944 data_time: 0.0048 loss: 1.6812 03/13 03:38:34 - mmengine - INFO - Epoch(train) [524][ 500/1252] lr: 5.0540e-05 eta: 8:40:48 time: 0.3699 data_time: 0.0059 loss: 1.7564 03/13 03:39:06 - mmengine - INFO - Epoch(train) [524][ 600/1252] lr: 5.0540e-05 eta: 8:40:15 time: 0.2959 data_time: 0.0054 loss: 1.8337 03/13 03:39:37 - mmengine - INFO - Epoch(train) [524][ 700/1252] lr: 5.0540e-05 eta: 8:39:42 time: 0.2900 data_time: 0.0148 loss: 1.8048 03/13 03:40:10 - mmengine - INFO - Epoch(train) [524][ 800/1252] lr: 5.0540e-05 eta: 8:39:09 time: 0.2774 data_time: 0.0061 loss: 1.8265 03/13 03:40:42 - mmengine - INFO - Epoch(train) [524][ 900/1252] lr: 5.0540e-05 eta: 8:38:36 time: 0.2987 data_time: 0.0046 loss: 1.7922 03/13 03:41:15 - mmengine - INFO - Epoch(train) [524][1000/1252] lr: 5.0540e-05 eta: 8:38:03 time: 0.3050 data_time: 0.0049 loss: 1.7798 03/13 03:41:48 - mmengine - INFO - Epoch(train) [524][1100/1252] lr: 5.0540e-05 eta: 8:37:30 time: 0.3308 data_time: 0.0046 loss: 1.7098 03/13 03:42:20 - mmengine - INFO - Epoch(train) [524][1200/1252] lr: 5.0540e-05 eta: 8:36:57 time: 0.3449 data_time: 0.0553 loss: 1.8336 03/13 03:42:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:42:36 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:42:36 - mmengine - INFO - Saving checkpoint at 524 epochs 03/13 03:42:58 - mmengine - INFO - Epoch(val) [524][49/49] accuracy/top1: 67.0620 accuracy/top5: 87.1540 03/13 03:43:32 - mmengine - INFO - Epoch(train) [525][ 100/1252] lr: 4.9175e-05 eta: 8:36:08 time: 0.2815 data_time: 0.0047 loss: 1.7710 03/13 03:44:05 - mmengine - INFO - Epoch(train) [525][ 200/1252] lr: 4.9175e-05 eta: 8:35:35 time: 0.2981 data_time: 0.1573 loss: 1.6973 03/13 03:44:37 - mmengine - INFO - Epoch(train) [525][ 300/1252] lr: 4.9175e-05 eta: 8:35:02 time: 0.3617 data_time: 0.0050 loss: 1.6769 03/13 03:45:09 - mmengine - INFO - Epoch(train) [525][ 400/1252] lr: 4.9175e-05 eta: 8:34:29 time: 0.3093 data_time: 0.0047 loss: 1.7904 03/13 03:45:41 - mmengine - INFO - Epoch(train) [525][ 500/1252] lr: 4.9175e-05 eta: 8:33:56 time: 0.3010 data_time: 0.0047 loss: 1.8644 03/13 03:46:14 - mmengine - INFO - Epoch(train) [525][ 600/1252] lr: 4.9175e-05 eta: 8:33:23 time: 0.2810 data_time: 0.0046 loss: 1.7405 03/13 03:46:46 - mmengine - INFO - Epoch(train) [525][ 700/1252] lr: 4.9175e-05 eta: 8:32:50 time: 0.3202 data_time: 0.0374 loss: 1.7569 03/13 03:47:18 - mmengine - INFO - Epoch(train) [525][ 800/1252] lr: 4.9175e-05 eta: 8:32:17 time: 0.3180 data_time: 0.0047 loss: 1.8273 03/13 03:47:51 - mmengine - INFO - Epoch(train) [525][ 900/1252] lr: 4.9175e-05 eta: 8:31:44 time: 0.2953 data_time: 0.1523 loss: 1.7559 03/13 03:48:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:48:23 - mmengine - INFO - Epoch(train) [525][1000/1252] lr: 4.9175e-05 eta: 8:31:11 time: 0.3008 data_time: 0.0053 loss: 1.7490 03/13 03:48:55 - mmengine - INFO - Epoch(train) [525][1100/1252] lr: 4.9175e-05 eta: 8:30:38 time: 0.3536 data_time: 0.0307 loss: 1.7864 03/13 03:49:27 - mmengine - INFO - Epoch(train) [525][1200/1252] lr: 4.9175e-05 eta: 8:30:05 time: 0.3377 data_time: 0.0044 loss: 1.8398 03/13 03:49:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:49:43 - mmengine - INFO - Saving checkpoint at 525 epochs 03/13 03:50:06 - mmengine - INFO - Epoch(val) [525][49/49] accuracy/top1: 67.0060 accuracy/top5: 87.1000 03/13 03:50:41 - mmengine - INFO - Epoch(train) [526][ 100/1252] lr: 4.9175e-05 eta: 8:29:16 time: 0.3160 data_time: 0.0809 loss: 1.7021 03/13 03:51:13 - mmengine - INFO - Epoch(train) [526][ 200/1252] lr: 4.9175e-05 eta: 8:28:43 time: 0.3345 data_time: 0.0045 loss: 1.6486 03/13 03:51:47 - mmengine - INFO - Epoch(train) [526][ 300/1252] lr: 4.9175e-05 eta: 8:28:11 time: 0.4012 data_time: 0.0046 loss: 1.6144 03/13 03:52:18 - mmengine - INFO - Epoch(train) [526][ 400/1252] lr: 4.9175e-05 eta: 8:27:37 time: 0.3755 data_time: 0.0051 loss: 1.6616 03/13 03:52:51 - mmengine - INFO - Epoch(train) [526][ 500/1252] lr: 4.9175e-05 eta: 8:27:04 time: 0.3467 data_time: 0.0043 loss: 1.6915 03/13 03:53:23 - mmengine - INFO - Epoch(train) [526][ 600/1252] lr: 4.9175e-05 eta: 8:26:32 time: 0.3003 data_time: 0.0056 loss: 1.6779 03/13 03:53:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:53:55 - mmengine - INFO - Epoch(train) [526][ 700/1252] lr: 4.9175e-05 eta: 8:25:58 time: 0.3063 data_time: 0.0047 loss: 1.8727 03/13 03:54:27 - mmengine - INFO - Epoch(train) [526][ 800/1252] lr: 4.9175e-05 eta: 8:25:25 time: 0.3065 data_time: 0.0047 loss: 1.7167 03/13 03:55:00 - mmengine - INFO - Epoch(train) [526][ 900/1252] lr: 4.9175e-05 eta: 8:24:53 time: 0.3575 data_time: 0.0279 loss: 1.7241 03/13 03:55:33 - mmengine - INFO - Epoch(train) [526][1000/1252] lr: 4.9175e-05 eta: 8:24:20 time: 0.3660 data_time: 0.0045 loss: 1.7512 03/13 03:56:04 - mmengine - INFO - Epoch(train) [526][1100/1252] lr: 4.9175e-05 eta: 8:23:47 time: 0.3520 data_time: 0.0050 loss: 1.7560 03/13 03:56:36 - mmengine - INFO - Epoch(train) [526][1200/1252] lr: 4.9175e-05 eta: 8:23:13 time: 0.3508 data_time: 0.0049 loss: 1.7631 03/13 03:56:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:56:53 - mmengine - INFO - Saving checkpoint at 526 epochs 03/13 03:57:15 - mmengine - INFO - Epoch(val) [526][49/49] accuracy/top1: 66.9840 accuracy/top5: 87.0600 03/13 03:57:50 - mmengine - INFO - Epoch(train) [527][ 100/1252] lr: 4.7847e-05 eta: 8:22:25 time: 0.4042 data_time: 0.0044 loss: 1.8215 03/13 03:58:22 - mmengine - INFO - Epoch(train) [527][ 200/1252] lr: 4.7847e-05 eta: 8:21:51 time: 0.3028 data_time: 0.0053 loss: 1.6740 03/13 03:58:53 - mmengine - INFO - Epoch(train) [527][ 300/1252] lr: 4.7847e-05 eta: 8:21:18 time: 0.2892 data_time: 0.0052 loss: 1.7836 03/13 03:59:27 - mmengine - INFO - Epoch(train) [527][ 400/1252] lr: 4.7847e-05 eta: 8:20:46 time: 0.4062 data_time: 0.1938 loss: 1.7394 03/13 03:59:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 03:59:59 - mmengine - INFO - Epoch(train) [527][ 500/1252] lr: 4.7847e-05 eta: 8:20:13 time: 0.3119 data_time: 0.0045 loss: 1.6948 03/13 04:00:33 - mmengine - INFO - Epoch(train) [527][ 600/1252] lr: 4.7847e-05 eta: 8:19:41 time: 0.3163 data_time: 0.0051 loss: 1.6883 03/13 04:01:05 - mmengine - INFO - Epoch(train) [527][ 700/1252] lr: 4.7847e-05 eta: 8:19:08 time: 0.3328 data_time: 0.0051 loss: 1.7807 03/13 04:01:37 - mmengine - INFO - Epoch(train) [527][ 800/1252] lr: 4.7847e-05 eta: 8:18:35 time: 0.3521 data_time: 0.0045 loss: 1.6126 03/13 04:02:10 - mmengine - INFO - Epoch(train) [527][ 900/1252] lr: 4.7847e-05 eta: 8:18:02 time: 0.3397 data_time: 0.0046 loss: 1.8341 03/13 04:02:42 - mmengine - INFO - Epoch(train) [527][1000/1252] lr: 4.7847e-05 eta: 8:17:29 time: 0.2890 data_time: 0.0045 loss: 1.8257 03/13 04:03:14 - mmengine - INFO - Epoch(train) [527][1100/1252] lr: 4.7847e-05 eta: 8:16:56 time: 0.2843 data_time: 0.0051 loss: 1.7358 03/13 04:03:46 - mmengine - INFO - Epoch(train) [527][1200/1252] lr: 4.7847e-05 eta: 8:16:23 time: 0.3492 data_time: 0.0168 loss: 1.7277 03/13 04:04:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:04:02 - mmengine - INFO - Saving checkpoint at 527 epochs 03/13 04:04:25 - mmengine - INFO - Epoch(val) [527][49/49] accuracy/top1: 66.9380 accuracy/top5: 87.1340 03/13 04:05:00 - mmengine - INFO - Epoch(train) [528][ 100/1252] lr: 4.7847e-05 eta: 8:15:34 time: 0.3336 data_time: 0.0048 loss: 1.7615 03/13 04:05:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:05:33 - mmengine - INFO - Epoch(train) [528][ 200/1252] lr: 4.7847e-05 eta: 8:15:01 time: 0.3758 data_time: 0.0053 loss: 1.8846 03/13 04:06:04 - mmengine - INFO - Epoch(train) [528][ 300/1252] lr: 4.7847e-05 eta: 8:14:28 time: 0.3007 data_time: 0.0047 loss: 1.8335 03/13 04:06:36 - mmengine - INFO - Epoch(train) [528][ 400/1252] lr: 4.7847e-05 eta: 8:13:55 time: 0.2950 data_time: 0.0055 loss: 1.8340 03/13 04:07:09 - mmengine - INFO - Epoch(train) [528][ 500/1252] lr: 4.7847e-05 eta: 8:13:22 time: 0.2964 data_time: 0.0048 loss: 1.6675 03/13 04:07:41 - mmengine - INFO - Epoch(train) [528][ 600/1252] lr: 4.7847e-05 eta: 8:12:49 time: 0.2879 data_time: 0.0054 loss: 1.7696 03/13 04:08:14 - mmengine - INFO - Epoch(train) [528][ 700/1252] lr: 4.7847e-05 eta: 8:12:16 time: 0.3494 data_time: 0.0048 loss: 1.8320 03/13 04:08:46 - mmengine - INFO - Epoch(train) [528][ 800/1252] lr: 4.7847e-05 eta: 8:11:43 time: 0.2817 data_time: 0.0206 loss: 1.7912 03/13 04:09:18 - mmengine - INFO - Epoch(train) [528][ 900/1252] lr: 4.7847e-05 eta: 8:11:10 time: 0.2728 data_time: 0.0223 loss: 1.7695 03/13 04:09:50 - mmengine - INFO - Epoch(train) [528][1000/1252] lr: 4.7847e-05 eta: 8:10:37 time: 0.3409 data_time: 0.0046 loss: 1.8354 03/13 04:10:23 - mmengine - INFO - Epoch(train) [528][1100/1252] lr: 4.7847e-05 eta: 8:10:05 time: 0.3638 data_time: 0.0048 loss: 1.6693 03/13 04:10:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:10:54 - mmengine - INFO - Epoch(train) [528][1200/1252] lr: 4.7847e-05 eta: 8:09:31 time: 0.3161 data_time: 0.0045 loss: 1.7258 03/13 04:11:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:11:10 - mmengine - INFO - Saving checkpoint at 528 epochs 03/13 04:11:33 - mmengine - INFO - Epoch(val) [528][49/49] accuracy/top1: 66.9460 accuracy/top5: 87.1340 03/13 04:12:07 - mmengine - INFO - Epoch(train) [529][ 100/1252] lr: 4.6555e-05 eta: 8:08:42 time: 0.3185 data_time: 0.0197 loss: 1.7209 03/13 04:12:40 - mmengine - INFO - Epoch(train) [529][ 200/1252] lr: 4.6555e-05 eta: 8:08:09 time: 0.4084 data_time: 0.1026 loss: 1.8384 03/13 04:13:12 - mmengine - INFO - Epoch(train) [529][ 300/1252] lr: 4.6555e-05 eta: 8:07:36 time: 0.3205 data_time: 0.0045 loss: 1.7807 03/13 04:13:44 - mmengine - INFO - Epoch(train) [529][ 400/1252] lr: 4.6555e-05 eta: 8:07:03 time: 0.3530 data_time: 0.0048 loss: 1.7487 03/13 04:14:17 - mmengine - INFO - Epoch(train) [529][ 500/1252] lr: 4.6555e-05 eta: 8:06:31 time: 0.3515 data_time: 0.0208 loss: 1.7179 03/13 04:14:49 - mmengine - INFO - Epoch(train) [529][ 600/1252] lr: 4.6555e-05 eta: 8:05:58 time: 0.3757 data_time: 0.0165 loss: 1.7951 03/13 04:15:22 - mmengine - INFO - Epoch(train) [529][ 700/1252] lr: 4.6555e-05 eta: 8:05:25 time: 0.3722 data_time: 0.0041 loss: 1.8883 03/13 04:15:54 - mmengine - INFO - Epoch(train) [529][ 800/1252] lr: 4.6555e-05 eta: 8:04:52 time: 0.3396 data_time: 0.0050 loss: 1.7652 03/13 04:16:25 - mmengine - INFO - Epoch(train) [529][ 900/1252] lr: 4.6555e-05 eta: 8:04:18 time: 0.2769 data_time: 0.0054 loss: 1.7736 03/13 04:16:40 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:16:57 - mmengine - INFO - Epoch(train) [529][1000/1252] lr: 4.6555e-05 eta: 8:03:45 time: 0.3038 data_time: 0.0224 loss: 1.7529 03/13 04:17:30 - mmengine - INFO - Epoch(train) [529][1100/1252] lr: 4.6555e-05 eta: 8:03:13 time: 0.3283 data_time: 0.0249 loss: 1.7268 03/13 04:18:02 - mmengine - INFO - Epoch(train) [529][1200/1252] lr: 4.6555e-05 eta: 8:02:39 time: 0.3022 data_time: 0.0045 loss: 1.8454 03/13 04:18:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:18:19 - mmengine - INFO - Saving checkpoint at 529 epochs 03/13 04:18:43 - mmengine - INFO - Epoch(val) [529][49/49] accuracy/top1: 67.0200 accuracy/top5: 87.1540 03/13 04:19:16 - mmengine - INFO - Epoch(train) [530][ 100/1252] lr: 4.6555e-05 eta: 8:01:50 time: 0.2474 data_time: 0.0050 loss: 1.8284 03/13 04:19:49 - mmengine - INFO - Epoch(train) [530][ 200/1252] lr: 4.6555e-05 eta: 8:01:18 time: 0.3160 data_time: 0.0052 loss: 1.7545 03/13 04:20:21 - mmengine - INFO - Epoch(train) [530][ 300/1252] lr: 4.6555e-05 eta: 8:00:44 time: 0.3139 data_time: 0.0052 loss: 1.7362 03/13 04:20:54 - mmengine - INFO - Epoch(train) [530][ 400/1252] lr: 4.6555e-05 eta: 8:00:12 time: 0.2882 data_time: 0.0050 loss: 1.7805 03/13 04:21:26 - mmengine - INFO - Epoch(train) [530][ 500/1252] lr: 4.6555e-05 eta: 7:59:39 time: 0.2748 data_time: 0.0260 loss: 1.8291 03/13 04:21:59 - mmengine - INFO - Epoch(train) [530][ 600/1252] lr: 4.6555e-05 eta: 7:59:06 time: 0.3326 data_time: 0.1179 loss: 1.6477 03/13 04:22:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:22:31 - mmengine - INFO - Epoch(train) [530][ 700/1252] lr: 4.6555e-05 eta: 7:58:33 time: 0.2978 data_time: 0.0179 loss: 1.7742 03/13 04:23:04 - mmengine - INFO - Epoch(train) [530][ 800/1252] lr: 4.6555e-05 eta: 7:58:01 time: 0.3193 data_time: 0.2025 loss: 1.6727 03/13 04:23:36 - mmengine - INFO - Epoch(train) [530][ 900/1252] lr: 4.6555e-05 eta: 7:57:28 time: 0.3141 data_time: 0.0045 loss: 1.8413 03/13 04:24:08 - mmengine - INFO - Epoch(train) [530][1000/1252] lr: 4.6555e-05 eta: 7:56:55 time: 0.2944 data_time: 0.0050 loss: 1.7497 03/13 04:24:40 - mmengine - INFO - Epoch(train) [530][1100/1252] lr: 4.6555e-05 eta: 7:56:21 time: 0.3299 data_time: 0.0050 loss: 1.7704 03/13 04:25:13 - mmengine - INFO - Epoch(train) [530][1200/1252] lr: 4.6555e-05 eta: 7:55:49 time: 0.3741 data_time: 0.1590 loss: 1.7568 03/13 04:25:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:25:28 - mmengine - INFO - Saving checkpoint at 530 epochs 03/13 04:25:51 - mmengine - INFO - Epoch(val) [530][49/49] accuracy/top1: 67.0900 accuracy/top5: 87.1700 03/13 04:26:26 - mmengine - INFO - Epoch(train) [531][ 100/1252] lr: 4.5298e-05 eta: 7:55:00 time: 0.3368 data_time: 0.0051 loss: 1.8211 03/13 04:26:59 - mmengine - INFO - Epoch(train) [531][ 200/1252] lr: 4.5298e-05 eta: 7:54:27 time: 0.3560 data_time: 0.2370 loss: 1.7548 03/13 04:27:32 - mmengine - INFO - Epoch(train) [531][ 300/1252] lr: 4.5298e-05 eta: 7:53:55 time: 0.3074 data_time: 0.0048 loss: 1.8432 03/13 04:28:06 - mmengine - INFO - Epoch(train) [531][ 400/1252] lr: 4.5298e-05 eta: 7:53:23 time: 0.3233 data_time: 0.1359 loss: 1.7988 03/13 04:28:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:28:39 - mmengine - INFO - Epoch(train) [531][ 500/1252] lr: 4.5298e-05 eta: 7:52:50 time: 0.2886 data_time: 0.0043 loss: 1.6829 03/13 04:29:12 - mmengine - INFO - Epoch(train) [531][ 600/1252] lr: 4.5298e-05 eta: 7:52:18 time: 0.3524 data_time: 0.2091 loss: 1.7207 03/13 04:29:45 - mmengine - INFO - Epoch(train) [531][ 700/1252] lr: 4.5298e-05 eta: 7:51:45 time: 0.3203 data_time: 0.0045 loss: 1.8176 03/13 04:30:19 - mmengine - INFO - Epoch(train) [531][ 800/1252] lr: 4.5298e-05 eta: 7:51:14 time: 0.3321 data_time: 0.0041 loss: 1.6933 03/13 04:30:52 - mmengine - INFO - Epoch(train) [531][ 900/1252] lr: 4.5298e-05 eta: 7:50:41 time: 0.3730 data_time: 0.0279 loss: 1.7346 03/13 04:31:26 - mmengine - INFO - Epoch(train) [531][1000/1252] lr: 4.5298e-05 eta: 7:50:10 time: 0.2855 data_time: 0.0044 loss: 1.7723 03/13 04:31:59 - mmengine - INFO - Epoch(train) [531][1100/1252] lr: 4.5298e-05 eta: 7:49:37 time: 0.3060 data_time: 0.0049 loss: 1.7761 03/13 04:32:32 - mmengine - INFO - Epoch(train) [531][1200/1252] lr: 4.5298e-05 eta: 7:49:05 time: 0.3472 data_time: 0.0049 loss: 1.7525 03/13 04:32:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:32:48 - mmengine - INFO - Saving checkpoint at 531 epochs 03/13 04:33:12 - mmengine - INFO - Epoch(val) [531][49/49] accuracy/top1: 66.9120 accuracy/top5: 87.0300 03/13 04:33:47 - mmengine - INFO - Epoch(train) [532][ 100/1252] lr: 4.5298e-05 eta: 7:48:16 time: 0.4028 data_time: 0.1247 loss: 1.7195 03/13 04:34:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:34:18 - mmengine - INFO - Epoch(train) [532][ 200/1252] lr: 4.5298e-05 eta: 7:47:43 time: 0.2760 data_time: 0.0049 loss: 1.7258 03/13 04:34:50 - mmengine - INFO - Epoch(train) [532][ 300/1252] lr: 4.5298e-05 eta: 7:47:09 time: 0.3084 data_time: 0.0051 loss: 1.7396 03/13 04:35:23 - mmengine - INFO - Epoch(train) [532][ 400/1252] lr: 4.5298e-05 eta: 7:46:37 time: 0.2931 data_time: 0.0137 loss: 1.8885 03/13 04:35:55 - mmengine - INFO - Epoch(train) [532][ 500/1252] lr: 4.5298e-05 eta: 7:46:04 time: 0.2972 data_time: 0.0980 loss: 1.8094 03/13 04:36:27 - mmengine - INFO - Epoch(train) [532][ 600/1252] lr: 4.5298e-05 eta: 7:45:31 time: 0.2626 data_time: 0.0046 loss: 1.8159 03/13 04:37:00 - mmengine - INFO - Epoch(train) [532][ 700/1252] lr: 4.5298e-05 eta: 7:44:58 time: 0.3428 data_time: 0.0042 loss: 1.7276 03/13 04:37:32 - mmengine - INFO - Epoch(train) [532][ 800/1252] lr: 4.5298e-05 eta: 7:44:25 time: 0.3021 data_time: 0.0050 loss: 1.6804 03/13 04:38:04 - mmengine - INFO - Epoch(train) [532][ 900/1252] lr: 4.5298e-05 eta: 7:43:52 time: 0.3199 data_time: 0.0192 loss: 1.6488 03/13 04:38:36 - mmengine - INFO - Epoch(train) [532][1000/1252] lr: 4.5298e-05 eta: 7:43:19 time: 0.3106 data_time: 0.0269 loss: 1.8031 03/13 04:39:08 - mmengine - INFO - Epoch(train) [532][1100/1252] lr: 4.5298e-05 eta: 7:42:46 time: 0.3085 data_time: 0.0049 loss: 1.8006 03/13 04:39:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:39:41 - mmengine - INFO - Epoch(train) [532][1200/1252] lr: 4.5298e-05 eta: 7:42:13 time: 0.3327 data_time: 0.0047 loss: 1.7985 03/13 04:39:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:39:57 - mmengine - INFO - Saving checkpoint at 532 epochs 03/13 04:40:19 - mmengine - INFO - Epoch(val) [532][49/49] accuracy/top1: 66.8900 accuracy/top5: 87.0780 03/13 04:40:55 - mmengine - INFO - Epoch(train) [533][ 100/1252] lr: 4.4075e-05 eta: 7:41:25 time: 0.3222 data_time: 0.2098 loss: 1.8111 03/13 04:41:28 - mmengine - INFO - Epoch(train) [533][ 200/1252] lr: 4.4075e-05 eta: 7:40:52 time: 0.3076 data_time: 0.0044 loss: 1.6535 03/13 04:42:00 - mmengine - INFO - Epoch(train) [533][ 300/1252] lr: 4.4075e-05 eta: 7:40:20 time: 0.3050 data_time: 0.0049 loss: 1.6966 03/13 04:42:34 - mmengine - INFO - Epoch(train) [533][ 400/1252] lr: 4.4075e-05 eta: 7:39:48 time: 0.2677 data_time: 0.1515 loss: 1.8101 03/13 04:43:07 - mmengine - INFO - Epoch(train) [533][ 500/1252] lr: 4.4075e-05 eta: 7:39:15 time: 0.3696 data_time: 0.1073 loss: 1.8283 03/13 04:43:40 - mmengine - INFO - Epoch(train) [533][ 600/1252] lr: 4.4075e-05 eta: 7:38:43 time: 0.2686 data_time: 0.1488 loss: 1.7591 03/13 04:44:14 - mmengine - INFO - Epoch(train) [533][ 700/1252] lr: 4.4075e-05 eta: 7:38:11 time: 0.3665 data_time: 0.0046 loss: 1.6457 03/13 04:44:46 - mmengine - INFO - Epoch(train) [533][ 800/1252] lr: 4.4075e-05 eta: 7:37:38 time: 0.2987 data_time: 0.1069 loss: 1.7657 03/13 04:45:19 - mmengine - INFO - Epoch(train) [533][ 900/1252] lr: 4.4075e-05 eta: 7:37:05 time: 0.3579 data_time: 0.0049 loss: 1.8907 03/13 04:45:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:45:52 - mmengine - INFO - Epoch(train) [533][1000/1252] lr: 4.4075e-05 eta: 7:36:33 time: 0.3028 data_time: 0.0045 loss: 1.7942 03/13 04:46:26 - mmengine - INFO - Epoch(train) [533][1100/1252] lr: 4.4075e-05 eta: 7:36:01 time: 0.3522 data_time: 0.0773 loss: 1.8970 03/13 04:46:58 - mmengine - INFO - Epoch(train) [533][1200/1252] lr: 4.4075e-05 eta: 7:35:28 time: 0.3441 data_time: 0.1725 loss: 1.7581 03/13 04:47:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:47:15 - mmengine - INFO - Saving checkpoint at 533 epochs 03/13 04:47:38 - mmengine - INFO - Epoch(val) [533][49/49] accuracy/top1: 66.9660 accuracy/top5: 87.1180 03/13 04:48:12 - mmengine - INFO - Epoch(train) [534][ 100/1252] lr: 4.4075e-05 eta: 7:34:39 time: 0.3130 data_time: 0.0048 loss: 1.8618 03/13 04:48:45 - mmengine - INFO - Epoch(train) [534][ 200/1252] lr: 4.4075e-05 eta: 7:34:06 time: 0.2306 data_time: 0.0049 loss: 1.6825 03/13 04:49:17 - mmengine - INFO - Epoch(train) [534][ 300/1252] lr: 4.4075e-05 eta: 7:33:33 time: 0.3254 data_time: 0.0048 loss: 1.7902 03/13 04:49:49 - mmengine - INFO - Epoch(train) [534][ 400/1252] lr: 4.4075e-05 eta: 7:33:01 time: 0.2768 data_time: 0.1596 loss: 1.8203 03/13 04:50:21 - mmengine - INFO - Epoch(train) [534][ 500/1252] lr: 4.4075e-05 eta: 7:32:28 time: 0.2796 data_time: 0.0048 loss: 1.7830 03/13 04:50:54 - mmengine - INFO - Epoch(train) [534][ 600/1252] lr: 4.4075e-05 eta: 7:31:55 time: 0.3480 data_time: 0.2361 loss: 1.7667 03/13 04:51:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:51:27 - mmengine - INFO - Epoch(train) [534][ 700/1252] lr: 4.4075e-05 eta: 7:31:22 time: 0.3425 data_time: 0.1640 loss: 1.7001 03/13 04:52:00 - mmengine - INFO - Epoch(train) [534][ 800/1252] lr: 4.4075e-05 eta: 7:30:50 time: 0.3885 data_time: 0.0048 loss: 1.8202 03/13 04:52:31 - mmengine - INFO - Epoch(train) [534][ 900/1252] lr: 4.4075e-05 eta: 7:30:17 time: 0.2935 data_time: 0.0783 loss: 1.6676 03/13 04:53:03 - mmengine - INFO - Epoch(train) [534][1000/1252] lr: 4.4075e-05 eta: 7:29:43 time: 0.3421 data_time: 0.0046 loss: 1.7857 03/13 04:53:35 - mmengine - INFO - Epoch(train) [534][1100/1252] lr: 4.4075e-05 eta: 7:29:10 time: 0.2985 data_time: 0.0048 loss: 1.8218 03/13 04:54:07 - mmengine - INFO - Epoch(train) [534][1200/1252] lr: 4.4075e-05 eta: 7:28:37 time: 0.2765 data_time: 0.0051 loss: 1.8210 03/13 04:54:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:54:24 - mmengine - INFO - Saving checkpoint at 534 epochs 03/13 04:54:47 - mmengine - INFO - Epoch(val) [534][49/49] accuracy/top1: 66.9860 accuracy/top5: 87.0740 03/13 04:55:22 - mmengine - INFO - Epoch(train) [535][ 100/1252] lr: 4.2885e-05 eta: 7:27:49 time: 0.3018 data_time: 0.0047 loss: 1.8168 03/13 04:55:54 - mmengine - INFO - Epoch(train) [535][ 200/1252] lr: 4.2885e-05 eta: 7:27:16 time: 0.3240 data_time: 0.0047 loss: 1.6454 03/13 04:56:26 - mmengine - INFO - Epoch(train) [535][ 300/1252] lr: 4.2885e-05 eta: 7:26:43 time: 0.3164 data_time: 0.0048 loss: 1.7499 03/13 04:56:58 - mmengine - INFO - Epoch(train) [535][ 400/1252] lr: 4.2885e-05 eta: 7:26:10 time: 0.3328 data_time: 0.0057 loss: 1.7985 03/13 04:57:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 04:57:30 - mmengine - INFO - Epoch(train) [535][ 500/1252] lr: 4.2885e-05 eta: 7:25:37 time: 0.3169 data_time: 0.1997 loss: 1.7989 03/13 04:58:04 - mmengine - INFO - Epoch(train) [535][ 600/1252] lr: 4.2885e-05 eta: 7:25:05 time: 0.3510 data_time: 0.2366 loss: 1.8466 03/13 04:58:35 - mmengine - INFO - Epoch(train) [535][ 700/1252] lr: 4.2885e-05 eta: 7:24:31 time: 0.3625 data_time: 0.0115 loss: 1.6377 03/13 04:59:07 - mmengine - INFO - Epoch(train) [535][ 800/1252] lr: 4.2885e-05 eta: 7:23:58 time: 0.3179 data_time: 0.0049 loss: 1.8294 03/13 04:59:40 - mmengine - INFO - Epoch(train) [535][ 900/1252] lr: 4.2885e-05 eta: 7:23:25 time: 0.3286 data_time: 0.0052 loss: 1.7639 03/13 05:00:12 - mmengine - INFO - Epoch(train) [535][1000/1252] lr: 4.2885e-05 eta: 7:22:53 time: 0.3010 data_time: 0.0048 loss: 1.7994 03/13 05:00:44 - mmengine - INFO - Epoch(train) [535][1100/1252] lr: 4.2885e-05 eta: 7:22:19 time: 0.2559 data_time: 0.0649 loss: 1.8347 03/13 05:01:16 - mmengine - INFO - Epoch(train) [535][1200/1252] lr: 4.2885e-05 eta: 7:21:46 time: 0.2385 data_time: 0.0048 loss: 1.7070 03/13 05:01:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:01:33 - mmengine - INFO - Saving checkpoint at 535 epochs 03/13 05:01:56 - mmengine - INFO - Epoch(val) [535][49/49] accuracy/top1: 66.9280 accuracy/top5: 87.1560 03/13 05:02:31 - mmengine - INFO - Epoch(train) [536][ 100/1252] lr: 4.2885e-05 eta: 7:20:58 time: 0.2958 data_time: 0.1784 loss: 1.6724 03/13 05:02:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:03:03 - mmengine - INFO - Epoch(train) [536][ 200/1252] lr: 4.2885e-05 eta: 7:20:25 time: 0.3297 data_time: 0.0048 loss: 1.7507 03/13 05:03:35 - mmengine - INFO - Epoch(train) [536][ 300/1252] lr: 4.2885e-05 eta: 7:19:52 time: 0.3350 data_time: 0.0049 loss: 1.7321 03/13 05:04:08 - mmengine - INFO - Epoch(train) [536][ 400/1252] lr: 4.2885e-05 eta: 7:19:19 time: 0.3190 data_time: 0.0056 loss: 1.7116 03/13 05:04:39 - mmengine - INFO - Epoch(train) [536][ 500/1252] lr: 4.2885e-05 eta: 7:18:46 time: 0.3004 data_time: 0.0054 loss: 1.7191 03/13 05:05:12 - mmengine - INFO - Epoch(train) [536][ 600/1252] lr: 4.2885e-05 eta: 7:18:14 time: 0.2739 data_time: 0.0047 loss: 1.8723 03/13 05:05:44 - mmengine - INFO - Epoch(train) [536][ 700/1252] lr: 4.2885e-05 eta: 7:17:40 time: 0.2949 data_time: 0.0083 loss: 1.8119 03/13 05:06:16 - mmengine - INFO - Epoch(train) [536][ 800/1252] lr: 4.2885e-05 eta: 7:17:07 time: 0.3534 data_time: 0.1114 loss: 1.8391 03/13 05:06:49 - mmengine - INFO - Epoch(train) [536][ 900/1252] lr: 4.2885e-05 eta: 7:16:35 time: 0.2939 data_time: 0.0048 loss: 1.7221 03/13 05:07:20 - mmengine - INFO - Epoch(train) [536][1000/1252] lr: 4.2885e-05 eta: 7:16:01 time: 0.2742 data_time: 0.0050 loss: 1.6947 03/13 05:07:52 - mmengine - INFO - Epoch(train) [536][1100/1252] lr: 4.2885e-05 eta: 7:15:28 time: 0.3091 data_time: 0.0819 loss: 1.7911 03/13 05:08:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:08:25 - mmengine - INFO - Epoch(train) [536][1200/1252] lr: 4.2885e-05 eta: 7:14:56 time: 0.2830 data_time: 0.0197 loss: 1.7309 03/13 05:08:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:08:41 - mmengine - INFO - Saving checkpoint at 536 epochs 03/13 05:09:03 - mmengine - INFO - Epoch(val) [536][49/49] accuracy/top1: 66.9500 accuracy/top5: 87.1300 03/13 05:09:38 - mmengine - INFO - Epoch(train) [537][ 100/1252] lr: 4.1727e-05 eta: 7:14:07 time: 0.3378 data_time: 0.0056 loss: 1.7293 03/13 05:10:10 - mmengine - INFO - Epoch(train) [537][ 200/1252] lr: 4.1727e-05 eta: 7:13:34 time: 0.2884 data_time: 0.0266 loss: 1.8315 03/13 05:10:42 - mmengine - INFO - Epoch(train) [537][ 300/1252] lr: 4.1727e-05 eta: 7:13:01 time: 0.2604 data_time: 0.0050 loss: 1.7669 03/13 05:11:15 - mmengine - INFO - Epoch(train) [537][ 400/1252] lr: 4.1727e-05 eta: 7:12:28 time: 0.3176 data_time: 0.0950 loss: 1.8741 03/13 05:11:46 - mmengine - INFO - Epoch(train) [537][ 500/1252] lr: 4.1727e-05 eta: 7:11:55 time: 0.3022 data_time: 0.0052 loss: 1.8287 03/13 05:12:19 - mmengine - INFO - Epoch(train) [537][ 600/1252] lr: 4.1727e-05 eta: 7:11:22 time: 0.3241 data_time: 0.0050 loss: 1.6855 03/13 05:12:51 - mmengine - INFO - Epoch(train) [537][ 700/1252] lr: 4.1727e-05 eta: 7:10:49 time: 0.2725 data_time: 0.0054 loss: 1.8186 03/13 05:13:23 - mmengine - INFO - Epoch(train) [537][ 800/1252] lr: 4.1727e-05 eta: 7:10:17 time: 0.3646 data_time: 0.0047 loss: 1.7217 03/13 05:13:55 - mmengine - INFO - Epoch(train) [537][ 900/1252] lr: 4.1727e-05 eta: 7:09:43 time: 0.3344 data_time: 0.0259 loss: 1.7760 03/13 05:14:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:14:28 - mmengine - INFO - Epoch(train) [537][1000/1252] lr: 4.1727e-05 eta: 7:09:11 time: 0.3448 data_time: 0.0047 loss: 1.7305 03/13 05:15:01 - mmengine - INFO - Epoch(train) [537][1100/1252] lr: 4.1727e-05 eta: 7:08:38 time: 0.3314 data_time: 0.0057 loss: 1.9111 03/13 05:15:32 - mmengine - INFO - Epoch(train) [537][1200/1252] lr: 4.1727e-05 eta: 7:08:05 time: 0.3206 data_time: 0.0574 loss: 1.7796 03/13 05:15:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:15:48 - mmengine - INFO - Saving checkpoint at 537 epochs 03/13 05:16:12 - mmengine - INFO - Epoch(val) [537][49/49] accuracy/top1: 66.9540 accuracy/top5: 87.0820 03/13 05:16:47 - mmengine - INFO - Epoch(train) [538][ 100/1252] lr: 4.1727e-05 eta: 7:07:16 time: 0.4113 data_time: 0.0120 loss: 1.7595 03/13 05:17:18 - mmengine - INFO - Epoch(train) [538][ 200/1252] lr: 4.1727e-05 eta: 7:06:43 time: 0.3062 data_time: 0.0048 loss: 1.6860 03/13 05:17:51 - mmengine - INFO - Epoch(train) [538][ 300/1252] lr: 4.1727e-05 eta: 7:06:10 time: 0.3148 data_time: 0.1912 loss: 1.7872 03/13 05:18:23 - mmengine - INFO - Epoch(train) [538][ 400/1252] lr: 4.1727e-05 eta: 7:05:37 time: 0.2813 data_time: 0.0443 loss: 1.6728 03/13 05:18:55 - mmengine - INFO - Epoch(train) [538][ 500/1252] lr: 4.1727e-05 eta: 7:05:05 time: 0.2656 data_time: 0.0048 loss: 1.7705 03/13 05:19:27 - mmengine - INFO - Epoch(train) [538][ 600/1252] lr: 4.1727e-05 eta: 7:04:32 time: 0.2683 data_time: 0.0043 loss: 1.7524 03/13 05:19:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:20:00 - mmengine - INFO - Epoch(train) [538][ 700/1252] lr: 4.1727e-05 eta: 7:03:59 time: 0.3310 data_time: 0.0356 loss: 1.7112 03/13 05:20:32 - mmengine - INFO - Epoch(train) [538][ 800/1252] lr: 4.1727e-05 eta: 7:03:26 time: 0.3262 data_time: 0.0547 loss: 1.7175 03/13 05:21:04 - mmengine - INFO - Epoch(train) [538][ 900/1252] lr: 4.1727e-05 eta: 7:02:53 time: 0.3318 data_time: 0.0046 loss: 1.7547 03/13 05:21:38 - mmengine - INFO - Epoch(train) [538][1000/1252] lr: 4.1727e-05 eta: 7:02:21 time: 0.3178 data_time: 0.0047 loss: 1.8835 03/13 05:22:10 - mmengine - INFO - Epoch(train) [538][1100/1252] lr: 4.1727e-05 eta: 7:01:48 time: 0.3560 data_time: 0.1263 loss: 1.8399 03/13 05:22:42 - mmengine - INFO - Epoch(train) [538][1200/1252] lr: 4.1727e-05 eta: 7:01:15 time: 0.3397 data_time: 0.0049 loss: 1.7701 03/13 05:22:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:22:59 - mmengine - INFO - Saving checkpoint at 538 epochs 03/13 05:23:21 - mmengine - INFO - Epoch(val) [538][49/49] accuracy/top1: 67.0100 accuracy/top5: 87.1480 03/13 05:23:56 - mmengine - INFO - Epoch(train) [539][ 100/1252] lr: 4.0601e-05 eta: 7:00:26 time: 0.3029 data_time: 0.0047 loss: 1.6910 03/13 05:24:28 - mmengine - INFO - Epoch(train) [539][ 200/1252] lr: 4.0601e-05 eta: 6:59:54 time: 0.3224 data_time: 0.0396 loss: 1.6850 03/13 05:25:01 - mmengine - INFO - Epoch(train) [539][ 300/1252] lr: 4.0601e-05 eta: 6:59:21 time: 0.3537 data_time: 0.0061 loss: 1.6900 03/13 05:25:33 - mmengine - INFO - Epoch(train) [539][ 400/1252] lr: 4.0601e-05 eta: 6:58:48 time: 0.3168 data_time: 0.0051 loss: 1.7248 03/13 05:25:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:26:06 - mmengine - INFO - Epoch(train) [539][ 500/1252] lr: 4.0601e-05 eta: 6:58:16 time: 0.3054 data_time: 0.0361 loss: 1.7433 03/13 05:26:38 - mmengine - INFO - Epoch(train) [539][ 600/1252] lr: 4.0601e-05 eta: 6:57:43 time: 0.3294 data_time: 0.0046 loss: 1.8967 03/13 05:27:10 - mmengine - INFO - Epoch(train) [539][ 700/1252] lr: 4.0601e-05 eta: 6:57:10 time: 0.3393 data_time: 0.0479 loss: 1.7298 03/13 05:27:42 - mmengine - INFO - Epoch(train) [539][ 800/1252] lr: 4.0601e-05 eta: 6:56:37 time: 0.3088 data_time: 0.0457 loss: 1.8233 03/13 05:28:14 - mmengine - INFO - Epoch(train) [539][ 900/1252] lr: 4.0601e-05 eta: 6:56:04 time: 0.3421 data_time: 0.0917 loss: 1.7470 03/13 05:28:47 - mmengine - INFO - Epoch(train) [539][1000/1252] lr: 4.0601e-05 eta: 6:55:32 time: 0.3550 data_time: 0.1346 loss: 1.7401 03/13 05:29:20 - mmengine - INFO - Epoch(train) [539][1100/1252] lr: 4.0601e-05 eta: 6:54:59 time: 0.3476 data_time: 0.0039 loss: 1.7391 03/13 05:29:52 - mmengine - INFO - Epoch(train) [539][1200/1252] lr: 4.0601e-05 eta: 6:54:26 time: 0.3610 data_time: 0.0045 loss: 1.6528 03/13 05:30:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:30:08 - mmengine - INFO - Saving checkpoint at 539 epochs 03/13 05:30:31 - mmengine - INFO - Epoch(val) [539][49/49] accuracy/top1: 67.0100 accuracy/top5: 87.1260 03/13 05:31:05 - mmengine - INFO - Epoch(train) [540][ 100/1252] lr: 4.0601e-05 eta: 6:53:37 time: 0.3083 data_time: 0.0091 loss: 1.8200 03/13 05:31:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:31:37 - mmengine - INFO - Epoch(train) [540][ 200/1252] lr: 4.0601e-05 eta: 6:53:04 time: 0.3599 data_time: 0.0050 loss: 1.7372 03/13 05:32:09 - mmengine - INFO - Epoch(train) [540][ 300/1252] lr: 4.0601e-05 eta: 6:52:31 time: 0.2889 data_time: 0.0052 loss: 1.7518 03/13 05:32:41 - mmengine - INFO - Epoch(train) [540][ 400/1252] lr: 4.0601e-05 eta: 6:51:58 time: 0.3258 data_time: 0.0048 loss: 1.7997 03/13 05:33:14 - mmengine - INFO - Epoch(train) [540][ 500/1252] lr: 4.0601e-05 eta: 6:51:25 time: 0.3276 data_time: 0.0469 loss: 1.7097 03/13 05:33:46 - mmengine - INFO - Epoch(train) [540][ 600/1252] lr: 4.0601e-05 eta: 6:50:53 time: 0.3767 data_time: 0.0050 loss: 1.7520 03/13 05:34:19 - mmengine - INFO - Epoch(train) [540][ 700/1252] lr: 4.0601e-05 eta: 6:50:20 time: 0.3251 data_time: 0.0052 loss: 1.8247 03/13 05:34:51 - mmengine - INFO - Epoch(train) [540][ 800/1252] lr: 4.0601e-05 eta: 6:49:47 time: 0.3306 data_time: 0.0050 loss: 1.8030 03/13 05:35:23 - mmengine - INFO - Epoch(train) [540][ 900/1252] lr: 4.0601e-05 eta: 6:49:14 time: 0.3652 data_time: 0.0047 loss: 1.7285 03/13 05:35:55 - mmengine - INFO - Epoch(train) [540][1000/1252] lr: 4.0601e-05 eta: 6:48:41 time: 0.2871 data_time: 0.0049 loss: 1.7528 03/13 05:36:28 - mmengine - INFO - Epoch(train) [540][1100/1252] lr: 4.0601e-05 eta: 6:48:08 time: 0.3298 data_time: 0.0052 loss: 1.8488 03/13 05:36:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:36:59 - mmengine - INFO - Epoch(train) [540][1200/1252] lr: 4.0601e-05 eta: 6:47:35 time: 0.2977 data_time: 0.0051 loss: 1.6739 03/13 05:37:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:37:16 - mmengine - INFO - Saving checkpoint at 540 epochs 03/13 05:37:39 - mmengine - INFO - Epoch(val) [540][49/49] accuracy/top1: 66.9280 accuracy/top5: 87.0840 03/13 05:38:13 - mmengine - INFO - Epoch(train) [541][ 100/1252] lr: 3.9505e-05 eta: 6:46:46 time: 0.3285 data_time: 0.0045 loss: 1.8435 03/13 05:38:46 - mmengine - INFO - Epoch(train) [541][ 200/1252] lr: 3.9505e-05 eta: 6:46:14 time: 0.3593 data_time: 0.0042 loss: 1.7876 03/13 05:39:19 - mmengine - INFO - Epoch(train) [541][ 300/1252] lr: 3.9505e-05 eta: 6:45:41 time: 0.2524 data_time: 0.0050 loss: 1.7706 03/13 05:39:51 - mmengine - INFO - Epoch(train) [541][ 400/1252] lr: 3.9505e-05 eta: 6:45:08 time: 0.3233 data_time: 0.0048 loss: 1.7480 03/13 05:40:24 - mmengine - INFO - Epoch(train) [541][ 500/1252] lr: 3.9505e-05 eta: 6:44:36 time: 0.3541 data_time: 0.0048 loss: 1.7912 03/13 05:40:56 - mmengine - INFO - Epoch(train) [541][ 600/1252] lr: 3.9505e-05 eta: 6:44:03 time: 0.3775 data_time: 0.2544 loss: 1.7093 03/13 05:41:29 - mmengine - INFO - Epoch(train) [541][ 700/1252] lr: 3.9505e-05 eta: 6:43:31 time: 0.3781 data_time: 0.0792 loss: 1.7900 03/13 05:42:00 - mmengine - INFO - Epoch(train) [541][ 800/1252] lr: 3.9505e-05 eta: 6:42:57 time: 0.3330 data_time: 0.0136 loss: 1.7931 03/13 05:42:33 - mmengine - INFO - Epoch(train) [541][ 900/1252] lr: 3.9505e-05 eta: 6:42:25 time: 0.3145 data_time: 0.0049 loss: 1.7267 03/13 05:42:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:43:05 - mmengine - INFO - Epoch(train) [541][1000/1252] lr: 3.9505e-05 eta: 6:41:52 time: 0.3602 data_time: 0.0870 loss: 1.8896 03/13 05:43:38 - mmengine - INFO - Epoch(train) [541][1100/1252] lr: 3.9505e-05 eta: 6:41:19 time: 0.2969 data_time: 0.1743 loss: 1.7204 03/13 05:44:09 - mmengine - INFO - Epoch(train) [541][1200/1252] lr: 3.9505e-05 eta: 6:40:46 time: 0.2785 data_time: 0.0326 loss: 1.7148 03/13 05:44:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:44:25 - mmengine - INFO - Saving checkpoint at 541 epochs 03/13 05:44:47 - mmengine - INFO - Epoch(val) [541][49/49] accuracy/top1: 66.9160 accuracy/top5: 87.1200 03/13 05:45:22 - mmengine - INFO - Epoch(train) [542][ 100/1252] lr: 3.9505e-05 eta: 6:39:57 time: 0.3083 data_time: 0.0202 loss: 1.6889 03/13 05:45:54 - mmengine - INFO - Epoch(train) [542][ 200/1252] lr: 3.9505e-05 eta: 6:39:24 time: 0.2756 data_time: 0.0050 loss: 1.6882 03/13 05:46:27 - mmengine - INFO - Epoch(train) [542][ 300/1252] lr: 3.9505e-05 eta: 6:38:52 time: 0.3358 data_time: 0.0358 loss: 1.6919 03/13 05:46:59 - mmengine - INFO - Epoch(train) [542][ 400/1252] lr: 3.9505e-05 eta: 6:38:19 time: 0.2711 data_time: 0.0056 loss: 1.7547 03/13 05:47:31 - mmengine - INFO - Epoch(train) [542][ 500/1252] lr: 3.9505e-05 eta: 6:37:46 time: 0.3009 data_time: 0.0048 loss: 1.7158 03/13 05:48:03 - mmengine - INFO - Epoch(train) [542][ 600/1252] lr: 3.9505e-05 eta: 6:37:13 time: 0.2924 data_time: 0.0048 loss: 1.6638 03/13 05:48:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:48:35 - mmengine - INFO - Epoch(train) [542][ 700/1252] lr: 3.9505e-05 eta: 6:36:40 time: 0.2958 data_time: 0.0048 loss: 1.8228 03/13 05:49:07 - mmengine - INFO - Epoch(train) [542][ 800/1252] lr: 3.9505e-05 eta: 6:36:07 time: 0.2916 data_time: 0.0055 loss: 1.6994 03/13 05:49:40 - mmengine - INFO - Epoch(train) [542][ 900/1252] lr: 3.9505e-05 eta: 6:35:34 time: 0.3246 data_time: 0.0729 loss: 1.7482 03/13 05:50:11 - mmengine - INFO - Epoch(train) [542][1000/1252] lr: 3.9505e-05 eta: 6:35:01 time: 0.2778 data_time: 0.0049 loss: 1.9054 03/13 05:50:44 - mmengine - INFO - Epoch(train) [542][1100/1252] lr: 3.9505e-05 eta: 6:34:29 time: 0.3223 data_time: 0.1083 loss: 1.7052 03/13 05:51:16 - mmengine - INFO - Epoch(train) [542][1200/1252] lr: 3.9505e-05 eta: 6:33:56 time: 0.2832 data_time: 0.0308 loss: 1.7139 03/13 05:51:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:51:32 - mmengine - INFO - Saving checkpoint at 542 epochs 03/13 05:51:55 - mmengine - INFO - Epoch(val) [542][49/49] accuracy/top1: 66.9380 accuracy/top5: 87.1420 03/13 05:52:30 - mmengine - INFO - Epoch(train) [543][ 100/1252] lr: 3.8438e-05 eta: 6:33:07 time: 0.3504 data_time: 0.0048 loss: 1.8027 03/13 05:53:02 - mmengine - INFO - Epoch(train) [543][ 200/1252] lr: 3.8438e-05 eta: 6:32:34 time: 0.3284 data_time: 0.0049 loss: 1.7792 03/13 05:53:34 - mmengine - INFO - Epoch(train) [543][ 300/1252] lr: 3.8438e-05 eta: 6:32:01 time: 0.3573 data_time: 0.0045 loss: 1.7352 03/13 05:54:06 - mmengine - INFO - Epoch(train) [543][ 400/1252] lr: 3.8438e-05 eta: 6:31:28 time: 0.2860 data_time: 0.0406 loss: 1.7317 03/13 05:54:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:54:39 - mmengine - INFO - Epoch(train) [543][ 500/1252] lr: 3.8438e-05 eta: 6:30:56 time: 0.3482 data_time: 0.0046 loss: 1.7408 03/13 05:55:11 - mmengine - INFO - Epoch(train) [543][ 600/1252] lr: 3.8438e-05 eta: 6:30:23 time: 0.3486 data_time: 0.0048 loss: 1.7832 03/13 05:55:43 - mmengine - INFO - Epoch(train) [543][ 700/1252] lr: 3.8438e-05 eta: 6:29:50 time: 0.3067 data_time: 0.0048 loss: 1.7521 03/13 05:56:16 - mmengine - INFO - Epoch(train) [543][ 800/1252] lr: 3.8438e-05 eta: 6:29:17 time: 0.3577 data_time: 0.0048 loss: 1.7801 03/13 05:56:48 - mmengine - INFO - Epoch(train) [543][ 900/1252] lr: 3.8438e-05 eta: 6:28:45 time: 0.3243 data_time: 0.0480 loss: 1.6983 03/13 05:57:21 - mmengine - INFO - Epoch(train) [543][1000/1252] lr: 3.8438e-05 eta: 6:28:12 time: 0.3211 data_time: 0.0045 loss: 1.7272 03/13 05:57:53 - mmengine - INFO - Epoch(train) [543][1100/1252] lr: 3.8438e-05 eta: 6:27:39 time: 0.2952 data_time: 0.0047 loss: 1.8871 03/13 05:58:25 - mmengine - INFO - Epoch(train) [543][1200/1252] lr: 3.8438e-05 eta: 6:27:06 time: 0.3526 data_time: 0.0045 loss: 1.7244 03/13 05:58:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 05:58:41 - mmengine - INFO - Saving checkpoint at 543 epochs 03/13 05:59:04 - mmengine - INFO - Epoch(val) [543][49/49] accuracy/top1: 67.0260 accuracy/top5: 87.1900 03/13 05:59:39 - mmengine - INFO - Epoch(train) [544][ 100/1252] lr: 3.8438e-05 eta: 6:26:18 time: 0.3169 data_time: 0.1206 loss: 1.7947 03/13 06:00:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:00:13 - mmengine - INFO - Epoch(train) [544][ 200/1252] lr: 3.8438e-05 eta: 6:25:45 time: 0.3478 data_time: 0.0049 loss: 1.7483 03/13 06:00:46 - mmengine - INFO - Epoch(train) [544][ 300/1252] lr: 3.8438e-05 eta: 6:25:13 time: 0.3161 data_time: 0.0043 loss: 1.7289 03/13 06:01:19 - mmengine - INFO - Epoch(train) [544][ 400/1252] lr: 3.8438e-05 eta: 6:24:41 time: 0.2903 data_time: 0.0050 loss: 1.7727 03/13 06:01:52 - mmengine - INFO - Epoch(train) [544][ 500/1252] lr: 3.8438e-05 eta: 6:24:08 time: 0.3649 data_time: 0.0069 loss: 1.8157 03/13 06:02:25 - mmengine - INFO - Epoch(train) [544][ 600/1252] lr: 3.8438e-05 eta: 6:23:36 time: 0.3019 data_time: 0.0044 loss: 1.7835 03/13 06:02:58 - mmengine - INFO - Epoch(train) [544][ 700/1252] lr: 3.8438e-05 eta: 6:23:03 time: 0.3147 data_time: 0.1925 loss: 1.8574 03/13 06:03:31 - mmengine - INFO - Epoch(train) [544][ 800/1252] lr: 3.8438e-05 eta: 6:22:31 time: 0.3443 data_time: 0.0770 loss: 1.7778 03/13 06:04:04 - mmengine - INFO - Epoch(train) [544][ 900/1252] lr: 3.8438e-05 eta: 6:21:59 time: 0.3296 data_time: 0.0043 loss: 1.7142 03/13 06:04:37 - mmengine - INFO - Epoch(train) [544][1000/1252] lr: 3.8438e-05 eta: 6:21:26 time: 0.2670 data_time: 0.0048 loss: 1.7712 03/13 06:05:10 - mmengine - INFO - Epoch(train) [544][1100/1252] lr: 3.8438e-05 eta: 6:20:53 time: 0.3048 data_time: 0.0048 loss: 1.7338 03/13 06:05:31 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:05:43 - mmengine - INFO - Epoch(train) [544][1200/1252] lr: 3.8438e-05 eta: 6:20:21 time: 0.3521 data_time: 0.0048 loss: 1.7246 03/13 06:05:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:05:59 - mmengine - INFO - Saving checkpoint at 544 epochs 03/13 06:06:21 - mmengine - INFO - Epoch(val) [544][49/49] accuracy/top1: 67.0280 accuracy/top5: 87.1060 03/13 06:06:56 - mmengine - INFO - Epoch(train) [545][ 100/1252] lr: 3.7400e-05 eta: 6:19:32 time: 0.3029 data_time: 0.0054 loss: 1.5924 03/13 06:07:28 - mmengine - INFO - Epoch(train) [545][ 200/1252] lr: 3.7400e-05 eta: 6:18:59 time: 0.3414 data_time: 0.0421 loss: 1.8036 03/13 06:08:00 - mmengine - INFO - Epoch(train) [545][ 300/1252] lr: 3.7400e-05 eta: 6:18:27 time: 0.3467 data_time: 0.0056 loss: 1.6930 03/13 06:08:33 - mmengine - INFO - Epoch(train) [545][ 400/1252] lr: 3.7400e-05 eta: 6:17:54 time: 0.2484 data_time: 0.0055 loss: 1.8213 03/13 06:09:05 - mmengine - INFO - Epoch(train) [545][ 500/1252] lr: 3.7400e-05 eta: 6:17:21 time: 0.2403 data_time: 0.0228 loss: 1.9046 03/13 06:09:37 - mmengine - INFO - Epoch(train) [545][ 600/1252] lr: 3.7400e-05 eta: 6:16:48 time: 0.3906 data_time: 0.0208 loss: 1.7356 03/13 06:10:09 - mmengine - INFO - Epoch(train) [545][ 700/1252] lr: 3.7400e-05 eta: 6:16:15 time: 0.3203 data_time: 0.0281 loss: 1.6348 03/13 06:10:42 - mmengine - INFO - Epoch(train) [545][ 800/1252] lr: 3.7400e-05 eta: 6:15:43 time: 0.3698 data_time: 0.0046 loss: 1.7597 03/13 06:11:14 - mmengine - INFO - Epoch(train) [545][ 900/1252] lr: 3.7400e-05 eta: 6:15:10 time: 0.3327 data_time: 0.0046 loss: 1.7239 03/13 06:11:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:11:46 - mmengine - INFO - Epoch(train) [545][1000/1252] lr: 3.7400e-05 eta: 6:14:37 time: 0.3445 data_time: 0.0047 loss: 1.6737 03/13 06:12:18 - mmengine - INFO - Epoch(train) [545][1100/1252] lr: 3.7400e-05 eta: 6:14:04 time: 0.2926 data_time: 0.0134 loss: 1.6697 03/13 06:12:50 - mmengine - INFO - Epoch(train) [545][1200/1252] lr: 3.7400e-05 eta: 6:13:32 time: 0.2725 data_time: 0.0055 loss: 1.6040 03/13 06:13:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:13:07 - mmengine - INFO - Saving checkpoint at 545 epochs 03/13 06:13:29 - mmengine - INFO - Epoch(val) [545][49/49] accuracy/top1: 67.0100 accuracy/top5: 87.1540 03/13 06:14:04 - mmengine - INFO - Epoch(train) [546][ 100/1252] lr: 3.7400e-05 eta: 6:12:43 time: 0.3369 data_time: 0.0055 loss: 1.6572 03/13 06:14:36 - mmengine - INFO - Epoch(train) [546][ 200/1252] lr: 3.7400e-05 eta: 6:12:10 time: 0.2897 data_time: 0.0048 loss: 1.6316 03/13 06:15:09 - mmengine - INFO - Epoch(train) [546][ 300/1252] lr: 3.7400e-05 eta: 6:11:37 time: 0.2901 data_time: 0.0049 loss: 1.7725 03/13 06:15:41 - mmengine - INFO - Epoch(train) [546][ 400/1252] lr: 3.7400e-05 eta: 6:11:04 time: 0.3288 data_time: 0.0046 loss: 1.7266 03/13 06:16:13 - mmengine - INFO - Epoch(train) [546][ 500/1252] lr: 3.7400e-05 eta: 6:10:32 time: 0.3447 data_time: 0.0044 loss: 1.6804 03/13 06:16:45 - mmengine - INFO - Epoch(train) [546][ 600/1252] lr: 3.7400e-05 eta: 6:09:59 time: 0.3186 data_time: 0.0054 loss: 1.7233 03/13 06:17:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:17:17 - mmengine - INFO - Epoch(train) [546][ 700/1252] lr: 3.7400e-05 eta: 6:09:26 time: 0.2915 data_time: 0.0051 loss: 1.7430 03/13 06:17:49 - mmengine - INFO - Epoch(train) [546][ 800/1252] lr: 3.7400e-05 eta: 6:08:53 time: 0.2933 data_time: 0.0054 loss: 1.7451 03/13 06:18:22 - mmengine - INFO - Epoch(train) [546][ 900/1252] lr: 3.7400e-05 eta: 6:08:20 time: 0.2899 data_time: 0.0058 loss: 1.6535 03/13 06:18:54 - mmengine - INFO - Epoch(train) [546][1000/1252] lr: 3.7400e-05 eta: 6:07:48 time: 0.3288 data_time: 0.0050 loss: 1.7183 03/13 06:19:27 - mmengine - INFO - Epoch(train) [546][1100/1252] lr: 3.7400e-05 eta: 6:07:15 time: 0.3113 data_time: 0.0460 loss: 1.6842 03/13 06:19:59 - mmengine - INFO - Epoch(train) [546][1200/1252] lr: 3.7400e-05 eta: 6:06:42 time: 0.3123 data_time: 0.0275 loss: 1.7226 03/13 06:20:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:20:16 - mmengine - INFO - Saving checkpoint at 546 epochs 03/13 06:20:38 - mmengine - INFO - Epoch(val) [546][49/49] accuracy/top1: 66.9860 accuracy/top5: 87.0620 03/13 06:21:12 - mmengine - INFO - Epoch(train) [547][ 100/1252] lr: 3.6390e-05 eta: 6:05:53 time: 0.3145 data_time: 0.0054 loss: 1.8254 03/13 06:21:44 - mmengine - INFO - Epoch(train) [547][ 200/1252] lr: 3.6390e-05 eta: 6:05:21 time: 0.3301 data_time: 0.0052 loss: 1.7899 03/13 06:22:18 - mmengine - INFO - Epoch(train) [547][ 300/1252] lr: 3.6390e-05 eta: 6:04:48 time: 0.3476 data_time: 0.0636 loss: 1.7595 03/13 06:22:50 - mmengine - INFO - Epoch(train) [547][ 400/1252] lr: 3.6390e-05 eta: 6:04:16 time: 0.3413 data_time: 0.0229 loss: 1.6738 03/13 06:22:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:23:22 - mmengine - INFO - Epoch(train) [547][ 500/1252] lr: 3.6390e-05 eta: 6:03:43 time: 0.3440 data_time: 0.0052 loss: 1.7240 03/13 06:23:54 - mmengine - INFO - Epoch(train) [547][ 600/1252] lr: 3.6390e-05 eta: 6:03:10 time: 0.3317 data_time: 0.0237 loss: 1.7930 03/13 06:24:26 - mmengine - INFO - Epoch(train) [547][ 700/1252] lr: 3.6390e-05 eta: 6:02:37 time: 0.2631 data_time: 0.0048 loss: 1.7375 03/13 06:24:58 - mmengine - INFO - Epoch(train) [547][ 800/1252] lr: 3.6390e-05 eta: 6:02:04 time: 0.3274 data_time: 0.0058 loss: 1.7383 03/13 06:25:31 - mmengine - INFO - Epoch(train) [547][ 900/1252] lr: 3.6390e-05 eta: 6:01:32 time: 0.3158 data_time: 0.0425 loss: 1.7943 03/13 06:26:04 - mmengine - INFO - Epoch(train) [547][1000/1252] lr: 3.6390e-05 eta: 6:00:59 time: 0.3303 data_time: 0.0134 loss: 1.7910 03/13 06:26:36 - mmengine - INFO - Epoch(train) [547][1100/1252] lr: 3.6390e-05 eta: 6:00:27 time: 0.3864 data_time: 0.0050 loss: 1.6790 03/13 06:27:09 - mmengine - INFO - Epoch(train) [547][1200/1252] lr: 3.6390e-05 eta: 5:59:54 time: 0.3174 data_time: 0.0618 loss: 1.7095 03/13 06:27:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:27:25 - mmengine - INFO - Saving checkpoint at 547 epochs 03/13 06:27:48 - mmengine - INFO - Epoch(val) [547][49/49] accuracy/top1: 67.0020 accuracy/top5: 87.1100 03/13 06:28:22 - mmengine - INFO - Epoch(train) [548][ 100/1252] lr: 3.6390e-05 eta: 5:59:04 time: 0.3381 data_time: 0.0048 loss: 1.9322 03/13 06:28:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:28:54 - mmengine - INFO - Epoch(train) [548][ 200/1252] lr: 3.6390e-05 eta: 5:58:31 time: 0.2540 data_time: 0.1054 loss: 1.6630 03/13 06:29:27 - mmengine - INFO - Epoch(train) [548][ 300/1252] lr: 3.6390e-05 eta: 5:57:59 time: 0.3572 data_time: 0.2262 loss: 1.8024 03/13 06:29:59 - mmengine - INFO - Epoch(train) [548][ 400/1252] lr: 3.6390e-05 eta: 5:57:26 time: 0.3476 data_time: 0.0161 loss: 1.7353 03/13 06:30:31 - mmengine - INFO - Epoch(train) [548][ 500/1252] lr: 3.6390e-05 eta: 5:56:53 time: 0.3455 data_time: 0.0058 loss: 1.7086 03/13 06:31:03 - mmengine - INFO - Epoch(train) [548][ 600/1252] lr: 3.6390e-05 eta: 5:56:21 time: 0.3136 data_time: 0.0047 loss: 1.7252 03/13 06:31:35 - mmengine - INFO - Epoch(train) [548][ 700/1252] lr: 3.6390e-05 eta: 5:55:48 time: 0.3002 data_time: 0.0049 loss: 1.7489 03/13 06:32:08 - mmengine - INFO - Epoch(train) [548][ 800/1252] lr: 3.6390e-05 eta: 5:55:15 time: 0.3353 data_time: 0.0048 loss: 1.8723 03/13 06:32:41 - mmengine - INFO - Epoch(train) [548][ 900/1252] lr: 3.6390e-05 eta: 5:54:43 time: 0.2801 data_time: 0.0041 loss: 1.6429 03/13 06:33:13 - mmengine - INFO - Epoch(train) [548][1000/1252] lr: 3.6390e-05 eta: 5:54:10 time: 0.3250 data_time: 0.0052 loss: 1.6915 03/13 06:33:45 - mmengine - INFO - Epoch(train) [548][1100/1252] lr: 3.6390e-05 eta: 5:53:37 time: 0.3107 data_time: 0.0047 loss: 1.6806 03/13 06:34:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:34:17 - mmengine - INFO - Epoch(train) [548][1200/1252] lr: 3.6390e-05 eta: 5:53:04 time: 0.2646 data_time: 0.1435 loss: 1.9109 03/13 06:34:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:34:33 - mmengine - INFO - Saving checkpoint at 548 epochs 03/13 06:34:56 - mmengine - INFO - Epoch(val) [548][49/49] accuracy/top1: 66.9740 accuracy/top5: 87.1200 03/13 06:35:31 - mmengine - INFO - Epoch(train) [549][ 100/1252] lr: 3.5408e-05 eta: 5:52:15 time: 0.3005 data_time: 0.0047 loss: 1.6688 03/13 06:36:03 - mmengine - INFO - Epoch(train) [549][ 200/1252] lr: 3.5408e-05 eta: 5:51:42 time: 0.3549 data_time: 0.0522 loss: 1.8644 03/13 06:36:36 - mmengine - INFO - Epoch(train) [549][ 300/1252] lr: 3.5408e-05 eta: 5:51:10 time: 0.2664 data_time: 0.0047 loss: 1.7017 03/13 06:37:08 - mmengine - INFO - Epoch(train) [549][ 400/1252] lr: 3.5408e-05 eta: 5:50:37 time: 0.3045 data_time: 0.0048 loss: 1.8413 03/13 06:37:40 - mmengine - INFO - Epoch(train) [549][ 500/1252] lr: 3.5408e-05 eta: 5:50:04 time: 0.3534 data_time: 0.0047 loss: 1.8314 03/13 06:38:13 - mmengine - INFO - Epoch(train) [549][ 600/1252] lr: 3.5408e-05 eta: 5:49:32 time: 0.3727 data_time: 0.0729 loss: 1.8029 03/13 06:38:45 - mmengine - INFO - Epoch(train) [549][ 700/1252] lr: 3.5408e-05 eta: 5:48:59 time: 0.3636 data_time: 0.0056 loss: 1.7182 03/13 06:39:16 - mmengine - INFO - Epoch(train) [549][ 800/1252] lr: 3.5408e-05 eta: 5:48:26 time: 0.2689 data_time: 0.0048 loss: 1.7814 03/13 06:39:49 - mmengine - INFO - Epoch(train) [549][ 900/1252] lr: 3.5408e-05 eta: 5:47:54 time: 0.3700 data_time: 0.0047 loss: 1.7899 03/13 06:39:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:40:21 - mmengine - INFO - Epoch(train) [549][1000/1252] lr: 3.5408e-05 eta: 5:47:21 time: 0.3335 data_time: 0.0051 loss: 1.6524 03/13 06:40:54 - mmengine - INFO - Epoch(train) [549][1100/1252] lr: 3.5408e-05 eta: 5:46:48 time: 0.2935 data_time: 0.0046 loss: 1.8012 03/13 06:41:26 - mmengine - INFO - Epoch(train) [549][1200/1252] lr: 3.5408e-05 eta: 5:46:15 time: 0.3040 data_time: 0.0056 loss: 1.7385 03/13 06:41:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:41:43 - mmengine - INFO - Saving checkpoint at 549 epochs 03/13 06:42:05 - mmengine - INFO - Epoch(val) [549][49/49] accuracy/top1: 67.0180 accuracy/top5: 87.0480 03/13 06:42:40 - mmengine - INFO - Epoch(train) [550][ 100/1252] lr: 3.5408e-05 eta: 5:45:27 time: 0.3210 data_time: 0.0046 loss: 1.7789 03/13 06:43:13 - mmengine - INFO - Epoch(train) [550][ 200/1252] lr: 3.5408e-05 eta: 5:44:54 time: 0.3070 data_time: 0.0046 loss: 1.7924 03/13 06:43:45 - mmengine - INFO - Epoch(train) [550][ 300/1252] lr: 3.5408e-05 eta: 5:44:21 time: 0.3536 data_time: 0.0051 loss: 1.7739 03/13 06:44:17 - mmengine - INFO - Epoch(train) [550][ 400/1252] lr: 3.5408e-05 eta: 5:43:48 time: 0.2670 data_time: 0.0053 loss: 1.6438 03/13 06:44:49 - mmengine - INFO - Epoch(train) [550][ 500/1252] lr: 3.5408e-05 eta: 5:43:16 time: 0.3445 data_time: 0.0051 loss: 1.6780 03/13 06:45:22 - mmengine - INFO - Epoch(train) [550][ 600/1252] lr: 3.5408e-05 eta: 5:42:43 time: 0.3584 data_time: 0.0048 loss: 1.8065 03/13 06:45:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:45:54 - mmengine - INFO - Epoch(train) [550][ 700/1252] lr: 3.5408e-05 eta: 5:42:10 time: 0.3233 data_time: 0.0296 loss: 1.7321 03/13 06:46:26 - mmengine - INFO - Epoch(train) [550][ 800/1252] lr: 3.5408e-05 eta: 5:41:38 time: 0.3143 data_time: 0.0044 loss: 1.7258 03/13 06:46:58 - mmengine - INFO - Epoch(train) [550][ 900/1252] lr: 3.5408e-05 eta: 5:41:05 time: 0.2758 data_time: 0.0049 loss: 1.7385 03/13 06:47:31 - mmengine - INFO - Epoch(train) [550][1000/1252] lr: 3.5408e-05 eta: 5:40:32 time: 0.3229 data_time: 0.0056 loss: 1.6410 03/13 06:48:03 - mmengine - INFO - Epoch(train) [550][1100/1252] lr: 3.5408e-05 eta: 5:39:59 time: 0.2682 data_time: 0.0061 loss: 1.7645 03/13 06:48:35 - mmengine - INFO - Epoch(train) [550][1200/1252] lr: 3.5408e-05 eta: 5:39:27 time: 0.2900 data_time: 0.0048 loss: 1.6872 03/13 06:48:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:48:51 - mmengine - INFO - Saving checkpoint at 550 epochs 03/13 06:49:14 - mmengine - INFO - Epoch(val) [550][49/49] accuracy/top1: 66.9800 accuracy/top5: 87.1340 03/13 06:49:50 - mmengine - INFO - Epoch(train) [551][ 100/1252] lr: 3.4452e-05 eta: 5:38:38 time: 0.2982 data_time: 0.0055 loss: 1.7463 03/13 06:50:23 - mmengine - INFO - Epoch(train) [551][ 200/1252] lr: 3.4452e-05 eta: 5:38:06 time: 0.3026 data_time: 0.0046 loss: 1.7074 03/13 06:50:58 - mmengine - INFO - Epoch(train) [551][ 300/1252] lr: 3.4452e-05 eta: 5:37:34 time: 0.4179 data_time: 0.0043 loss: 1.7623 03/13 06:51:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:51:32 - mmengine - INFO - Epoch(train) [551][ 400/1252] lr: 3.4452e-05 eta: 5:37:02 time: 0.3286 data_time: 0.0041 loss: 1.7032 03/13 06:52:06 - mmengine - INFO - Epoch(train) [551][ 500/1252] lr: 3.4452e-05 eta: 5:36:30 time: 0.3328 data_time: 0.0044 loss: 1.6453 03/13 06:52:39 - mmengine - INFO - Epoch(train) [551][ 600/1252] lr: 3.4452e-05 eta: 5:35:58 time: 0.3846 data_time: 0.0043 loss: 1.7916 03/13 06:53:13 - mmengine - INFO - Epoch(train) [551][ 700/1252] lr: 3.4452e-05 eta: 5:35:26 time: 0.3039 data_time: 0.0044 loss: 1.7749 03/13 06:53:48 - mmengine - INFO - Epoch(train) [551][ 800/1252] lr: 3.4452e-05 eta: 5:34:54 time: 0.3694 data_time: 0.0042 loss: 1.8576 03/13 06:54:22 - mmengine - INFO - Epoch(train) [551][ 900/1252] lr: 3.4452e-05 eta: 5:34:22 time: 0.4175 data_time: 0.0201 loss: 1.6574 03/13 06:54:56 - mmengine - INFO - Epoch(train) [551][1000/1252] lr: 3.4452e-05 eta: 5:33:50 time: 0.3570 data_time: 0.0040 loss: 1.7202 03/13 06:55:29 - mmengine - INFO - Epoch(train) [551][1100/1252] lr: 3.4452e-05 eta: 5:33:17 time: 0.3427 data_time: 0.0042 loss: 1.7898 03/13 06:56:03 - mmengine - INFO - Epoch(train) [551][1200/1252] lr: 3.4452e-05 eta: 5:32:45 time: 0.2805 data_time: 0.0046 loss: 1.7446 03/13 06:56:20 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:56:20 - mmengine - INFO - Saving checkpoint at 551 epochs 03/13 06:56:43 - mmengine - INFO - Epoch(val) [551][49/49] accuracy/top1: 67.0560 accuracy/top5: 87.1240 03/13 06:57:18 - mmengine - INFO - Epoch(train) [552][ 100/1252] lr: 3.4452e-05 eta: 5:31:57 time: 0.3258 data_time: 0.0276 loss: 1.6809 03/13 06:57:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 06:57:50 - mmengine - INFO - Epoch(train) [552][ 200/1252] lr: 3.4452e-05 eta: 5:31:24 time: 0.3824 data_time: 0.0190 loss: 1.6764 03/13 06:58:22 - mmengine - INFO - Epoch(train) [552][ 300/1252] lr: 3.4452e-05 eta: 5:30:51 time: 0.2823 data_time: 0.0062 loss: 1.7628 03/13 06:58:54 - mmengine - INFO - Epoch(train) [552][ 400/1252] lr: 3.4452e-05 eta: 5:30:18 time: 0.3068 data_time: 0.0065 loss: 1.7919 03/13 06:59:27 - mmengine - INFO - Epoch(train) [552][ 500/1252] lr: 3.4452e-05 eta: 5:29:46 time: 0.2935 data_time: 0.0052 loss: 1.8029 03/13 06:59:59 - mmengine - INFO - Epoch(train) [552][ 600/1252] lr: 3.4452e-05 eta: 5:29:13 time: 0.3141 data_time: 0.0046 loss: 1.7707 03/13 07:00:31 - mmengine - INFO - Epoch(train) [552][ 700/1252] lr: 3.4452e-05 eta: 5:28:40 time: 0.3003 data_time: 0.0050 loss: 1.6948 03/13 07:01:03 - mmengine - INFO - Epoch(train) [552][ 800/1252] lr: 3.4452e-05 eta: 5:28:07 time: 0.3583 data_time: 0.0050 loss: 1.7343 03/13 07:01:35 - mmengine - INFO - Epoch(train) [552][ 900/1252] lr: 3.4452e-05 eta: 5:27:34 time: 0.3384 data_time: 0.0054 loss: 1.7613 03/13 07:02:08 - mmengine - INFO - Epoch(train) [552][1000/1252] lr: 3.4452e-05 eta: 5:27:02 time: 0.3553 data_time: 0.1043 loss: 1.7773 03/13 07:02:40 - mmengine - INFO - Epoch(train) [552][1100/1252] lr: 3.4452e-05 eta: 5:26:29 time: 0.2907 data_time: 0.0047 loss: 1.7728 03/13 07:02:55 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:03:12 - mmengine - INFO - Epoch(train) [552][1200/1252] lr: 3.4452e-05 eta: 5:25:56 time: 0.3341 data_time: 0.0049 loss: 1.8910 03/13 07:03:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:03:28 - mmengine - INFO - Saving checkpoint at 552 epochs 03/13 07:03:51 - mmengine - INFO - Epoch(val) [552][49/49] accuracy/top1: 67.1140 accuracy/top5: 87.1600 03/13 07:04:25 - mmengine - INFO - Epoch(train) [553][ 100/1252] lr: 3.3522e-05 eta: 5:25:07 time: 0.3294 data_time: 0.0048 loss: 1.6560 03/13 07:04:57 - mmengine - INFO - Epoch(train) [553][ 200/1252] lr: 3.3522e-05 eta: 5:24:34 time: 0.3148 data_time: 0.0052 loss: 1.6146 03/13 07:05:30 - mmengine - INFO - Epoch(train) [553][ 300/1252] lr: 3.3522e-05 eta: 5:24:01 time: 0.2953 data_time: 0.1152 loss: 1.8194 03/13 07:06:02 - mmengine - INFO - Epoch(train) [553][ 400/1252] lr: 3.3522e-05 eta: 5:23:29 time: 0.3302 data_time: 0.0058 loss: 1.7802 03/13 07:06:36 - mmengine - INFO - Epoch(train) [553][ 500/1252] lr: 3.3522e-05 eta: 5:22:57 time: 0.2958 data_time: 0.0046 loss: 1.6760 03/13 07:07:08 - mmengine - INFO - Epoch(train) [553][ 600/1252] lr: 3.3522e-05 eta: 5:22:24 time: 0.2731 data_time: 0.0046 loss: 1.6379 03/13 07:07:41 - mmengine - INFO - Epoch(train) [553][ 700/1252] lr: 3.3522e-05 eta: 5:21:51 time: 0.3160 data_time: 0.0104 loss: 1.7754 03/13 07:08:13 - mmengine - INFO - Epoch(train) [553][ 800/1252] lr: 3.3522e-05 eta: 5:21:19 time: 0.3344 data_time: 0.0051 loss: 1.7827 03/13 07:08:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:08:44 - mmengine - INFO - Epoch(train) [553][ 900/1252] lr: 3.3522e-05 eta: 5:20:46 time: 0.2692 data_time: 0.0055 loss: 1.7501 03/13 07:09:17 - mmengine - INFO - Epoch(train) [553][1000/1252] lr: 3.3522e-05 eta: 5:20:13 time: 0.2989 data_time: 0.0057 loss: 1.7675 03/13 07:09:50 - mmengine - INFO - Epoch(train) [553][1100/1252] lr: 3.3522e-05 eta: 5:19:41 time: 0.3134 data_time: 0.0049 loss: 1.7518 03/13 07:10:22 - mmengine - INFO - Epoch(train) [553][1200/1252] lr: 3.3522e-05 eta: 5:19:08 time: 0.3540 data_time: 0.0054 loss: 1.8270 03/13 07:10:38 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:10:38 - mmengine - INFO - Saving checkpoint at 553 epochs 03/13 07:11:01 - mmengine - INFO - Epoch(val) [553][49/49] accuracy/top1: 67.0380 accuracy/top5: 87.0940 03/13 07:11:36 - mmengine - INFO - Epoch(train) [554][ 100/1252] lr: 3.3522e-05 eta: 5:18:19 time: 0.2635 data_time: 0.0049 loss: 1.7929 03/13 07:12:08 - mmengine - INFO - Epoch(train) [554][ 200/1252] lr: 3.3522e-05 eta: 5:17:46 time: 0.3481 data_time: 0.0049 loss: 1.7070 03/13 07:12:40 - mmengine - INFO - Epoch(train) [554][ 300/1252] lr: 3.3522e-05 eta: 5:17:13 time: 0.2928 data_time: 0.0053 loss: 1.5209 03/13 07:13:13 - mmengine - INFO - Epoch(train) [554][ 400/1252] lr: 3.3522e-05 eta: 5:16:41 time: 0.3114 data_time: 0.1247 loss: 1.7591 03/13 07:13:45 - mmengine - INFO - Epoch(train) [554][ 500/1252] lr: 3.3522e-05 eta: 5:16:08 time: 0.2885 data_time: 0.0630 loss: 1.7545 03/13 07:14:17 - mmengine - INFO - Epoch(train) [554][ 600/1252] lr: 3.3522e-05 eta: 5:15:35 time: 0.2853 data_time: 0.0052 loss: 1.7636 03/13 07:14:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:14:49 - mmengine - INFO - Epoch(train) [554][ 700/1252] lr: 3.3522e-05 eta: 5:15:02 time: 0.2941 data_time: 0.0217 loss: 1.8162 03/13 07:15:22 - mmengine - INFO - Epoch(train) [554][ 800/1252] lr: 3.3522e-05 eta: 5:14:30 time: 0.3290 data_time: 0.0234 loss: 1.6365 03/13 07:15:55 - mmengine - INFO - Epoch(train) [554][ 900/1252] lr: 3.3522e-05 eta: 5:13:57 time: 0.3753 data_time: 0.0052 loss: 1.7448 03/13 07:16:26 - mmengine - INFO - Epoch(train) [554][1000/1252] lr: 3.3522e-05 eta: 5:13:24 time: 0.2938 data_time: 0.0046 loss: 1.8610 03/13 07:16:59 - mmengine - INFO - Epoch(train) [554][1100/1252] lr: 3.3522e-05 eta: 5:12:52 time: 0.3347 data_time: 0.0049 loss: 1.7243 03/13 07:17:31 - mmengine - INFO - Epoch(train) [554][1200/1252] lr: 3.3522e-05 eta: 5:12:19 time: 0.3514 data_time: 0.1090 loss: 1.7931 03/13 07:17:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:17:47 - mmengine - INFO - Saving checkpoint at 554 epochs 03/13 07:18:09 - mmengine - INFO - Epoch(val) [554][49/49] accuracy/top1: 67.0040 accuracy/top5: 87.1180 03/13 07:18:44 - mmengine - INFO - Epoch(train) [555][ 100/1252] lr: 3.2616e-05 eta: 5:11:30 time: 0.3740 data_time: 0.0045 loss: 1.7854 03/13 07:19:17 - mmengine - INFO - Epoch(train) [555][ 200/1252] lr: 3.2616e-05 eta: 5:10:58 time: 0.3230 data_time: 0.0048 loss: 1.7376 03/13 07:19:49 - mmengine - INFO - Epoch(train) [555][ 300/1252] lr: 3.2616e-05 eta: 5:10:25 time: 0.3280 data_time: 0.0051 loss: 1.7793 03/13 07:20:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:20:22 - mmengine - INFO - Epoch(train) [555][ 400/1252] lr: 3.2616e-05 eta: 5:09:52 time: 0.2993 data_time: 0.0053 loss: 1.6915 03/13 07:20:54 - mmengine - INFO - Epoch(train) [555][ 500/1252] lr: 3.2616e-05 eta: 5:09:20 time: 0.2794 data_time: 0.0053 loss: 1.7129 03/13 07:21:25 - mmengine - INFO - Epoch(train) [555][ 600/1252] lr: 3.2616e-05 eta: 5:08:47 time: 0.2815 data_time: 0.0050 loss: 1.6772 03/13 07:21:58 - mmengine - INFO - Epoch(train) [555][ 700/1252] lr: 3.2616e-05 eta: 5:08:14 time: 0.3256 data_time: 0.0050 loss: 1.8070 03/13 07:22:31 - mmengine - INFO - Epoch(train) [555][ 800/1252] lr: 3.2616e-05 eta: 5:07:41 time: 0.3644 data_time: 0.0050 loss: 1.8093 03/13 07:23:03 - mmengine - INFO - Epoch(train) [555][ 900/1252] lr: 3.2616e-05 eta: 5:07:09 time: 0.3399 data_time: 0.0362 loss: 1.7475 03/13 07:23:36 - mmengine - INFO - Epoch(train) [555][1000/1252] lr: 3.2616e-05 eta: 5:06:36 time: 0.3349 data_time: 0.0042 loss: 1.8189 03/13 07:24:08 - mmengine - INFO - Epoch(train) [555][1100/1252] lr: 3.2616e-05 eta: 5:06:04 time: 0.2948 data_time: 0.0044 loss: 1.7872 03/13 07:24:39 - mmengine - INFO - Epoch(train) [555][1200/1252] lr: 3.2616e-05 eta: 5:05:31 time: 0.2277 data_time: 0.0330 loss: 1.6708 03/13 07:24:56 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:24:56 - mmengine - INFO - Saving checkpoint at 555 epochs 03/13 07:25:18 - mmengine - INFO - Epoch(val) [555][49/49] accuracy/top1: 66.9760 accuracy/top5: 87.1100 03/13 07:25:53 - mmengine - INFO - Epoch(train) [556][ 100/1252] lr: 3.2616e-05 eta: 5:04:42 time: 0.2956 data_time: 0.0051 loss: 1.7353 03/13 07:26:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:26:27 - mmengine - INFO - Epoch(train) [556][ 200/1252] lr: 3.2616e-05 eta: 5:04:10 time: 0.3228 data_time: 0.1314 loss: 1.8631 03/13 07:27:00 - mmengine - INFO - Epoch(train) [556][ 300/1252] lr: 3.2616e-05 eta: 5:03:37 time: 0.3860 data_time: 0.2668 loss: 1.7559 03/13 07:27:33 - mmengine - INFO - Epoch(train) [556][ 400/1252] lr: 3.2616e-05 eta: 5:03:05 time: 0.3296 data_time: 0.0047 loss: 1.7893 03/13 07:28:06 - mmengine - INFO - Epoch(train) [556][ 500/1252] lr: 3.2616e-05 eta: 5:02:32 time: 0.3640 data_time: 0.0059 loss: 1.7384 03/13 07:28:40 - mmengine - INFO - Epoch(train) [556][ 600/1252] lr: 3.2616e-05 eta: 5:02:00 time: 0.2821 data_time: 0.0050 loss: 1.8479 03/13 07:29:14 - mmengine - INFO - Epoch(train) [556][ 700/1252] lr: 3.2616e-05 eta: 5:01:28 time: 0.3689 data_time: 0.2574 loss: 1.6934 03/13 07:29:47 - mmengine - INFO - Epoch(train) [556][ 800/1252] lr: 3.2616e-05 eta: 5:00:55 time: 0.3734 data_time: 0.0048 loss: 1.7848 03/13 07:30:20 - mmengine - INFO - Epoch(train) [556][ 900/1252] lr: 3.2616e-05 eta: 5:00:23 time: 0.3717 data_time: 0.0051 loss: 1.7479 03/13 07:30:53 - mmengine - INFO - Epoch(train) [556][1000/1252] lr: 3.2616e-05 eta: 4:59:51 time: 0.3598 data_time: 0.0042 loss: 1.8053 03/13 07:31:25 - mmengine - INFO - Epoch(train) [556][1100/1252] lr: 3.2616e-05 eta: 4:59:18 time: 0.3486 data_time: 0.0403 loss: 1.6281 03/13 07:31:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:31:59 - mmengine - INFO - Epoch(train) [556][1200/1252] lr: 3.2616e-05 eta: 4:58:46 time: 0.3197 data_time: 0.0052 loss: 1.6992 03/13 07:32:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:32:16 - mmengine - INFO - Saving checkpoint at 556 epochs 03/13 07:32:38 - mmengine - INFO - Epoch(val) [556][49/49] accuracy/top1: 66.9060 accuracy/top5: 87.0700 03/13 07:33:14 - mmengine - INFO - Epoch(train) [557][ 100/1252] lr: 3.1736e-05 eta: 4:57:57 time: 0.3410 data_time: 0.0044 loss: 1.7539 03/13 07:33:47 - mmengine - INFO - Epoch(train) [557][ 200/1252] lr: 3.1736e-05 eta: 4:57:25 time: 0.3852 data_time: 0.0053 loss: 1.7695 03/13 07:34:19 - mmengine - INFO - Epoch(train) [557][ 300/1252] lr: 3.1736e-05 eta: 4:56:52 time: 0.3651 data_time: 0.0056 loss: 1.6777 03/13 07:34:53 - mmengine - INFO - Epoch(train) [557][ 400/1252] lr: 3.1736e-05 eta: 4:56:20 time: 0.3328 data_time: 0.0040 loss: 1.7617 03/13 07:35:26 - mmengine - INFO - Epoch(train) [557][ 500/1252] lr: 3.1736e-05 eta: 4:55:47 time: 0.3193 data_time: 0.0047 loss: 1.8213 03/13 07:35:58 - mmengine - INFO - Epoch(train) [557][ 600/1252] lr: 3.1736e-05 eta: 4:55:15 time: 0.3205 data_time: 0.0046 loss: 1.7186 03/13 07:36:31 - mmengine - INFO - Epoch(train) [557][ 700/1252] lr: 3.1736e-05 eta: 4:54:42 time: 0.2928 data_time: 0.0054 loss: 1.7742 03/13 07:37:04 - mmengine - INFO - Epoch(train) [557][ 800/1252] lr: 3.1736e-05 eta: 4:54:10 time: 0.3082 data_time: 0.0052 loss: 1.6728 03/13 07:37:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:37:38 - mmengine - INFO - Epoch(train) [557][ 900/1252] lr: 3.1736e-05 eta: 4:53:38 time: 0.3481 data_time: 0.0047 loss: 1.7163 03/13 07:38:11 - mmengine - INFO - Epoch(train) [557][1000/1252] lr: 3.1736e-05 eta: 4:53:05 time: 0.3227 data_time: 0.0045 loss: 1.8550 03/13 07:38:44 - mmengine - INFO - Epoch(train) [557][1100/1252] lr: 3.1736e-05 eta: 4:52:33 time: 0.3944 data_time: 0.0044 loss: 1.7232 03/13 07:39:17 - mmengine - INFO - Epoch(train) [557][1200/1252] lr: 3.1736e-05 eta: 4:52:00 time: 0.3648 data_time: 0.0046 loss: 1.7075 03/13 07:39:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:39:34 - mmengine - INFO - Saving checkpoint at 557 epochs 03/13 07:39:56 - mmengine - INFO - Epoch(val) [557][49/49] accuracy/top1: 67.0680 accuracy/top5: 87.1460 03/13 07:40:31 - mmengine - INFO - Epoch(train) [558][ 100/1252] lr: 3.1736e-05 eta: 4:51:12 time: 0.2761 data_time: 0.0046 loss: 1.8559 03/13 07:41:04 - mmengine - INFO - Epoch(train) [558][ 200/1252] lr: 3.1736e-05 eta: 4:50:39 time: 0.3220 data_time: 0.0051 loss: 1.6747 03/13 07:41:38 - mmengine - INFO - Epoch(train) [558][ 300/1252] lr: 3.1736e-05 eta: 4:50:07 time: 0.3615 data_time: 0.0040 loss: 1.7898 03/13 07:42:12 - mmengine - INFO - Epoch(train) [558][ 400/1252] lr: 3.1736e-05 eta: 4:49:35 time: 0.3312 data_time: 0.0044 loss: 1.7434 03/13 07:42:44 - mmengine - INFO - Epoch(train) [558][ 500/1252] lr: 3.1736e-05 eta: 4:49:02 time: 0.2452 data_time: 0.0050 loss: 1.7551 03/13 07:43:17 - mmengine - INFO - Epoch(train) [558][ 600/1252] lr: 3.1736e-05 eta: 4:48:30 time: 0.3181 data_time: 0.0051 loss: 1.7519 03/13 07:43:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:43:50 - mmengine - INFO - Epoch(train) [558][ 700/1252] lr: 3.1736e-05 eta: 4:47:57 time: 0.2813 data_time: 0.0712 loss: 1.7070 03/13 07:44:24 - mmengine - INFO - Epoch(train) [558][ 800/1252] lr: 3.1736e-05 eta: 4:47:25 time: 0.3681 data_time: 0.0911 loss: 1.7023 03/13 07:44:57 - mmengine - INFO - Epoch(train) [558][ 900/1252] lr: 3.1736e-05 eta: 4:46:52 time: 0.3327 data_time: 0.0047 loss: 1.7659 03/13 07:45:31 - mmengine - INFO - Epoch(train) [558][1000/1252] lr: 3.1736e-05 eta: 4:46:20 time: 0.3574 data_time: 0.2408 loss: 1.7694 03/13 07:46:04 - mmengine - INFO - Epoch(train) [558][1100/1252] lr: 3.1736e-05 eta: 4:45:48 time: 0.2944 data_time: 0.1651 loss: 1.7776 03/13 07:46:37 - mmengine - INFO - Epoch(train) [558][1200/1252] lr: 3.1736e-05 eta: 4:45:15 time: 0.3776 data_time: 0.0040 loss: 1.7867 03/13 07:46:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:46:53 - mmengine - INFO - Saving checkpoint at 558 epochs 03/13 07:47:17 - mmengine - INFO - Epoch(val) [558][49/49] accuracy/top1: 67.0200 accuracy/top5: 87.0460 03/13 07:47:51 - mmengine - INFO - Epoch(train) [559][ 100/1252] lr: 3.0879e-05 eta: 4:44:26 time: 0.3079 data_time: 0.0056 loss: 1.8470 03/13 07:48:23 - mmengine - INFO - Epoch(train) [559][ 200/1252] lr: 3.0879e-05 eta: 4:43:53 time: 0.2976 data_time: 0.0049 loss: 1.7564 03/13 07:48:56 - mmengine - INFO - Epoch(train) [559][ 300/1252] lr: 3.0879e-05 eta: 4:43:21 time: 0.2812 data_time: 0.0049 loss: 1.7439 03/13 07:49:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:49:28 - mmengine - INFO - Epoch(train) [559][ 400/1252] lr: 3.0879e-05 eta: 4:42:48 time: 0.2690 data_time: 0.0050 loss: 1.8070 03/13 07:50:01 - mmengine - INFO - Epoch(train) [559][ 500/1252] lr: 3.0879e-05 eta: 4:42:16 time: 0.3032 data_time: 0.0047 loss: 1.7310 03/13 07:50:33 - mmengine - INFO - Epoch(train) [559][ 600/1252] lr: 3.0879e-05 eta: 4:41:43 time: 0.2871 data_time: 0.0052 loss: 1.7926 03/13 07:51:06 - mmengine - INFO - Epoch(train) [559][ 700/1252] lr: 3.0879e-05 eta: 4:41:10 time: 0.2753 data_time: 0.0046 loss: 1.6673 03/13 07:51:38 - mmengine - INFO - Epoch(train) [559][ 800/1252] lr: 3.0879e-05 eta: 4:40:38 time: 0.3728 data_time: 0.0043 loss: 1.7809 03/13 07:52:11 - mmengine - INFO - Epoch(train) [559][ 900/1252] lr: 3.0879e-05 eta: 4:40:05 time: 0.3472 data_time: 0.0048 loss: 1.7150 03/13 07:52:43 - mmengine - INFO - Epoch(train) [559][1000/1252] lr: 3.0879e-05 eta: 4:39:32 time: 0.3969 data_time: 0.0051 loss: 1.7359 03/13 07:53:16 - mmengine - INFO - Epoch(train) [559][1100/1252] lr: 3.0879e-05 eta: 4:39:00 time: 0.3352 data_time: 0.0052 loss: 1.7703 03/13 07:53:48 - mmengine - INFO - Epoch(train) [559][1200/1252] lr: 3.0879e-05 eta: 4:38:27 time: 0.3658 data_time: 0.0053 loss: 1.7661 03/13 07:54:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:54:03 - mmengine - INFO - Saving checkpoint at 559 epochs 03/13 07:54:25 - mmengine - INFO - Epoch(val) [559][49/49] accuracy/top1: 67.0640 accuracy/top5: 87.1500 03/13 07:55:00 - mmengine - INFO - Epoch(train) [560][ 100/1252] lr: 3.0879e-05 eta: 4:37:38 time: 0.2726 data_time: 0.0053 loss: 1.7721 03/13 07:55:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 07:55:33 - mmengine - INFO - Epoch(train) [560][ 200/1252] lr: 3.0879e-05 eta: 4:37:05 time: 0.3259 data_time: 0.0049 loss: 1.8024 03/13 07:56:05 - mmengine - INFO - Epoch(train) [560][ 300/1252] lr: 3.0879e-05 eta: 4:36:32 time: 0.3430 data_time: 0.0045 loss: 1.6768 03/13 07:56:37 - mmengine - INFO - Epoch(train) [560][ 400/1252] lr: 3.0879e-05 eta: 4:36:00 time: 0.3395 data_time: 0.0371 loss: 1.8136 03/13 07:57:10 - mmengine - INFO - Epoch(train) [560][ 500/1252] lr: 3.0879e-05 eta: 4:35:27 time: 0.3107 data_time: 0.0048 loss: 1.8185 03/13 07:57:42 - mmengine - INFO - Epoch(train) [560][ 600/1252] lr: 3.0879e-05 eta: 4:34:54 time: 0.3006 data_time: 0.0063 loss: 1.8061 03/13 07:58:14 - mmengine - INFO - Epoch(train) [560][ 700/1252] lr: 3.0879e-05 eta: 4:34:22 time: 0.3048 data_time: 0.0053 loss: 1.7579 03/13 07:58:47 - mmengine - INFO - Epoch(train) [560][ 800/1252] lr: 3.0879e-05 eta: 4:33:49 time: 0.3195 data_time: 0.0055 loss: 1.7179 03/13 07:59:19 - mmengine - INFO - Epoch(train) [560][ 900/1252] lr: 3.0879e-05 eta: 4:33:16 time: 0.3567 data_time: 0.0047 loss: 1.7074 03/13 07:59:51 - mmengine - INFO - Epoch(train) [560][1000/1252] lr: 3.0879e-05 eta: 4:32:44 time: 0.3520 data_time: 0.0043 loss: 1.6752 03/13 08:00:24 - mmengine - INFO - Epoch(train) [560][1100/1252] lr: 3.0879e-05 eta: 4:32:11 time: 0.2998 data_time: 0.0050 loss: 1.7992 03/13 08:00:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:00:55 - mmengine - INFO - Epoch(train) [560][1200/1252] lr: 3.0879e-05 eta: 4:31:38 time: 0.2953 data_time: 0.0050 loss: 1.6786 03/13 08:01:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:01:12 - mmengine - INFO - Saving checkpoint at 560 epochs 03/13 08:01:35 - mmengine - INFO - Epoch(val) [560][49/49] accuracy/top1: 66.9360 accuracy/top5: 87.0960 03/13 08:02:11 - mmengine - INFO - Epoch(train) [561][ 100/1252] lr: 3.0045e-05 eta: 4:30:50 time: 0.3452 data_time: 0.0048 loss: 1.8745 03/13 08:02:44 - mmengine - INFO - Epoch(train) [561][ 200/1252] lr: 3.0045e-05 eta: 4:30:17 time: 0.3072 data_time: 0.0058 loss: 1.6580 03/13 08:03:16 - mmengine - INFO - Epoch(train) [561][ 300/1252] lr: 3.0045e-05 eta: 4:29:44 time: 0.2836 data_time: 0.0524 loss: 1.8154 03/13 08:03:48 - mmengine - INFO - Epoch(train) [561][ 400/1252] lr: 3.0045e-05 eta: 4:29:12 time: 0.2860 data_time: 0.0046 loss: 1.7859 03/13 08:04:20 - mmengine - INFO - Epoch(train) [561][ 500/1252] lr: 3.0045e-05 eta: 4:28:39 time: 0.3355 data_time: 0.0052 loss: 1.7910 03/13 08:04:52 - mmengine - INFO - Epoch(train) [561][ 600/1252] lr: 3.0045e-05 eta: 4:28:06 time: 0.2933 data_time: 0.0051 loss: 1.7810 03/13 08:05:25 - mmengine - INFO - Epoch(train) [561][ 700/1252] lr: 3.0045e-05 eta: 4:27:34 time: 0.2977 data_time: 0.0048 loss: 1.7390 03/13 08:05:57 - mmengine - INFO - Epoch(train) [561][ 800/1252] lr: 3.0045e-05 eta: 4:27:01 time: 0.3383 data_time: 0.0165 loss: 1.7089 03/13 08:06:23 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:06:29 - mmengine - INFO - Epoch(train) [561][ 900/1252] lr: 3.0045e-05 eta: 4:26:28 time: 0.2437 data_time: 0.0050 loss: 1.7876 03/13 08:07:01 - mmengine - INFO - Epoch(train) [561][1000/1252] lr: 3.0045e-05 eta: 4:25:56 time: 0.3387 data_time: 0.0125 loss: 1.7821 03/13 08:07:34 - mmengine - INFO - Epoch(train) [561][1100/1252] lr: 3.0045e-05 eta: 4:25:23 time: 0.3112 data_time: 0.0049 loss: 1.8318 03/13 08:08:06 - mmengine - INFO - Epoch(train) [561][1200/1252] lr: 3.0045e-05 eta: 4:24:50 time: 0.2746 data_time: 0.0050 loss: 1.7245 03/13 08:08:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:08:22 - mmengine - INFO - Saving checkpoint at 561 epochs 03/13 08:08:45 - mmengine - INFO - Epoch(val) [561][49/49] accuracy/top1: 67.0580 accuracy/top5: 87.1520 03/13 08:09:20 - mmengine - INFO - Epoch(train) [562][ 100/1252] lr: 3.0045e-05 eta: 4:24:01 time: 0.3509 data_time: 0.0050 loss: 1.7604 03/13 08:09:53 - mmengine - INFO - Epoch(train) [562][ 200/1252] lr: 3.0045e-05 eta: 4:23:29 time: 0.3500 data_time: 0.1652 loss: 1.8004 03/13 08:10:26 - mmengine - INFO - Epoch(train) [562][ 300/1252] lr: 3.0045e-05 eta: 4:22:56 time: 0.3086 data_time: 0.0054 loss: 1.7973 03/13 08:11:00 - mmengine - INFO - Epoch(train) [562][ 400/1252] lr: 3.0045e-05 eta: 4:22:24 time: 0.3467 data_time: 0.1011 loss: 1.7573 03/13 08:11:34 - mmengine - INFO - Epoch(train) [562][ 500/1252] lr: 3.0045e-05 eta: 4:21:52 time: 0.3716 data_time: 0.0043 loss: 1.8308 03/13 08:12:06 - mmengine - INFO - Epoch(train) [562][ 600/1252] lr: 3.0045e-05 eta: 4:21:19 time: 0.3180 data_time: 0.0047 loss: 1.6828 03/13 08:12:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:12:40 - mmengine - INFO - Epoch(train) [562][ 700/1252] lr: 3.0045e-05 eta: 4:20:47 time: 0.3552 data_time: 0.0050 loss: 1.7903 03/13 08:13:13 - mmengine - INFO - Epoch(train) [562][ 800/1252] lr: 3.0045e-05 eta: 4:20:15 time: 0.3332 data_time: 0.0041 loss: 1.7249 03/13 08:13:45 - mmengine - INFO - Epoch(train) [562][ 900/1252] lr: 3.0045e-05 eta: 4:19:42 time: 0.2909 data_time: 0.0052 loss: 1.6600 03/13 08:14:19 - mmengine - INFO - Epoch(train) [562][1000/1252] lr: 3.0045e-05 eta: 4:19:10 time: 0.3315 data_time: 0.0042 loss: 1.7370 03/13 08:14:52 - mmengine - INFO - Epoch(train) [562][1100/1252] lr: 3.0045e-05 eta: 4:18:37 time: 0.3885 data_time: 0.0042 loss: 1.7156 03/13 08:15:25 - mmengine - INFO - Epoch(train) [562][1200/1252] lr: 3.0045e-05 eta: 4:18:05 time: 0.3522 data_time: 0.0046 loss: 1.8711 03/13 08:15:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:15:41 - mmengine - INFO - Saving checkpoint at 562 epochs 03/13 08:16:03 - mmengine - INFO - Epoch(val) [562][49/49] accuracy/top1: 67.1700 accuracy/top5: 87.1460 03/13 08:16:38 - mmengine - INFO - Epoch(train) [563][ 100/1252] lr: 2.9234e-05 eta: 4:17:16 time: 0.3717 data_time: 0.0045 loss: 1.7530 03/13 08:17:11 - mmengine - INFO - Epoch(train) [563][ 200/1252] lr: 2.9234e-05 eta: 4:16:43 time: 0.3422 data_time: 0.0049 loss: 1.8341 03/13 08:17:43 - mmengine - INFO - Epoch(train) [563][ 300/1252] lr: 2.9234e-05 eta: 4:16:10 time: 0.3329 data_time: 0.0285 loss: 1.6955 03/13 08:18:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:18:15 - mmengine - INFO - Epoch(train) [563][ 400/1252] lr: 2.9234e-05 eta: 4:15:38 time: 0.3066 data_time: 0.0223 loss: 1.8253 03/13 08:18:47 - mmengine - INFO - Epoch(train) [563][ 500/1252] lr: 2.9234e-05 eta: 4:15:05 time: 0.2692 data_time: 0.0052 loss: 1.6714 03/13 08:19:20 - mmengine - INFO - Epoch(train) [563][ 600/1252] lr: 2.9234e-05 eta: 4:14:32 time: 0.3142 data_time: 0.1596 loss: 1.6913 03/13 08:19:52 - mmengine - INFO - Epoch(train) [563][ 700/1252] lr: 2.9234e-05 eta: 4:14:00 time: 0.3468 data_time: 0.0053 loss: 1.6377 03/13 08:20:24 - mmengine - INFO - Epoch(train) [563][ 800/1252] lr: 2.9234e-05 eta: 4:13:27 time: 0.3166 data_time: 0.0053 loss: 1.6537 03/13 08:20:56 - mmengine - INFO - Epoch(train) [563][ 900/1252] lr: 2.9234e-05 eta: 4:12:54 time: 0.2949 data_time: 0.0047 loss: 1.7649 03/13 08:21:28 - mmengine - INFO - Epoch(train) [563][1000/1252] lr: 2.9234e-05 eta: 4:12:22 time: 0.3063 data_time: 0.0051 loss: 1.8087 03/13 08:22:01 - mmengine - INFO - Epoch(train) [563][1100/1252] lr: 2.9234e-05 eta: 4:11:49 time: 0.2703 data_time: 0.0050 loss: 1.7757 03/13 08:22:33 - mmengine - INFO - Epoch(train) [563][1200/1252] lr: 2.9234e-05 eta: 4:11:17 time: 0.3485 data_time: 0.0051 loss: 1.6241 03/13 08:22:49 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:22:50 - mmengine - INFO - Saving checkpoint at 563 epochs 03/13 08:23:12 - mmengine - INFO - Epoch(val) [563][49/49] accuracy/top1: 66.9340 accuracy/top5: 87.1300 03/13 08:23:47 - mmengine - INFO - Epoch(train) [564][ 100/1252] lr: 2.9234e-05 eta: 4:10:27 time: 0.3037 data_time: 0.0045 loss: 1.7880 03/13 08:23:54 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:24:18 - mmengine - INFO - Epoch(train) [564][ 200/1252] lr: 2.9234e-05 eta: 4:09:55 time: 0.2947 data_time: 0.0049 loss: 1.7417 03/13 08:24:51 - mmengine - INFO - Epoch(train) [564][ 300/1252] lr: 2.9234e-05 eta: 4:09:22 time: 0.3672 data_time: 0.1302 loss: 1.7190 03/13 08:25:23 - mmengine - INFO - Epoch(train) [564][ 400/1252] lr: 2.9234e-05 eta: 4:08:49 time: 0.3489 data_time: 0.0051 loss: 1.7742 03/13 08:25:55 - mmengine - INFO - Epoch(train) [564][ 500/1252] lr: 2.9234e-05 eta: 4:08:17 time: 0.3287 data_time: 0.0054 loss: 1.8690 03/13 08:26:27 - mmengine - INFO - Epoch(train) [564][ 600/1252] lr: 2.9234e-05 eta: 4:07:44 time: 0.2781 data_time: 0.0049 loss: 1.8120 03/13 08:27:00 - mmengine - INFO - Epoch(train) [564][ 700/1252] lr: 2.9234e-05 eta: 4:07:11 time: 0.3335 data_time: 0.0276 loss: 1.7360 03/13 08:27:31 - mmengine - INFO - Epoch(train) [564][ 800/1252] lr: 2.9234e-05 eta: 4:06:39 time: 0.2953 data_time: 0.0049 loss: 1.7467 03/13 08:28:05 - mmengine - INFO - Epoch(train) [564][ 900/1252] lr: 2.9234e-05 eta: 4:06:06 time: 0.3168 data_time: 0.0049 loss: 1.7955 03/13 08:28:36 - mmengine - INFO - Epoch(train) [564][1000/1252] lr: 2.9234e-05 eta: 4:05:33 time: 0.3288 data_time: 0.0050 loss: 1.8346 03/13 08:29:09 - mmengine - INFO - Epoch(train) [564][1100/1252] lr: 2.9234e-05 eta: 4:05:01 time: 0.3325 data_time: 0.0084 loss: 1.7639 03/13 08:29:17 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:29:41 - mmengine - INFO - Epoch(train) [564][1200/1252] lr: 2.9234e-05 eta: 4:04:28 time: 0.3170 data_time: 0.0048 loss: 1.6483 03/13 08:29:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:29:58 - mmengine - INFO - Saving checkpoint at 564 epochs 03/13 08:30:21 - mmengine - INFO - Epoch(val) [564][49/49] accuracy/top1: 67.0060 accuracy/top5: 87.1720 03/13 08:30:55 - mmengine - INFO - Epoch(train) [565][ 100/1252] lr: 2.8445e-05 eta: 4:03:39 time: 0.2969 data_time: 0.0050 loss: 1.7737 03/13 08:31:28 - mmengine - INFO - Epoch(train) [565][ 200/1252] lr: 2.8445e-05 eta: 4:03:06 time: 0.3085 data_time: 0.0108 loss: 1.7117 03/13 08:32:00 - mmengine - INFO - Epoch(train) [565][ 300/1252] lr: 2.8445e-05 eta: 4:02:34 time: 0.2627 data_time: 0.0051 loss: 1.7589 03/13 08:32:32 - mmengine - INFO - Epoch(train) [565][ 400/1252] lr: 2.8445e-05 eta: 4:02:01 time: 0.3794 data_time: 0.0398 loss: 1.7334 03/13 08:33:04 - mmengine - INFO - Epoch(train) [565][ 500/1252] lr: 2.8445e-05 eta: 4:01:28 time: 0.2974 data_time: 0.0049 loss: 1.6691 03/13 08:33:37 - mmengine - INFO - Epoch(train) [565][ 600/1252] lr: 2.8445e-05 eta: 4:00:56 time: 0.3478 data_time: 0.0052 loss: 1.6357 03/13 08:34:09 - mmengine - INFO - Epoch(train) [565][ 700/1252] lr: 2.8445e-05 eta: 4:00:23 time: 0.3482 data_time: 0.0050 loss: 1.7782 03/13 08:34:42 - mmengine - INFO - Epoch(train) [565][ 800/1252] lr: 2.8445e-05 eta: 3:59:51 time: 0.3450 data_time: 0.0053 loss: 1.8069 03/13 08:35:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:35:13 - mmengine - INFO - Epoch(train) [565][ 900/1252] lr: 2.8445e-05 eta: 3:59:18 time: 0.2894 data_time: 0.0048 loss: 1.7486 03/13 08:35:46 - mmengine - INFO - Epoch(train) [565][1000/1252] lr: 2.8445e-05 eta: 3:58:45 time: 0.2787 data_time: 0.1556 loss: 1.7671 03/13 08:36:19 - mmengine - INFO - Epoch(train) [565][1100/1252] lr: 2.8445e-05 eta: 3:58:13 time: 0.3016 data_time: 0.1844 loss: 1.7451 03/13 08:36:51 - mmengine - INFO - Epoch(train) [565][1200/1252] lr: 2.8445e-05 eta: 3:57:40 time: 0.3381 data_time: 0.1755 loss: 1.7393 03/13 08:37:07 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:37:07 - mmengine - INFO - Saving checkpoint at 565 epochs 03/13 08:37:29 - mmengine - INFO - Epoch(val) [565][49/49] accuracy/top1: 67.0520 accuracy/top5: 87.0700 03/13 08:38:04 - mmengine - INFO - Epoch(train) [566][ 100/1252] lr: 2.8445e-05 eta: 3:56:51 time: 0.3456 data_time: 0.1133 loss: 1.7592 03/13 08:38:36 - mmengine - INFO - Epoch(train) [566][ 200/1252] lr: 2.8445e-05 eta: 3:56:18 time: 0.2879 data_time: 0.0051 loss: 1.7390 03/13 08:39:09 - mmengine - INFO - Epoch(train) [566][ 300/1252] lr: 2.8445e-05 eta: 3:55:46 time: 0.3453 data_time: 0.0049 loss: 1.7215 03/13 08:39:42 - mmengine - INFO - Epoch(train) [566][ 400/1252] lr: 2.8445e-05 eta: 3:55:13 time: 0.3688 data_time: 0.0280 loss: 1.6700 03/13 08:40:14 - mmengine - INFO - Epoch(train) [566][ 500/1252] lr: 2.8445e-05 eta: 3:54:41 time: 0.2872 data_time: 0.0056 loss: 1.8056 03/13 08:40:46 - mmengine - INFO - Epoch(train) [566][ 600/1252] lr: 2.8445e-05 eta: 3:54:08 time: 0.2883 data_time: 0.0048 loss: 1.7952 03/13 08:40:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:41:18 - mmengine - INFO - Epoch(train) [566][ 700/1252] lr: 2.8445e-05 eta: 3:53:35 time: 0.3110 data_time: 0.0183 loss: 1.7356 03/13 08:41:51 - mmengine - INFO - Epoch(train) [566][ 800/1252] lr: 2.8445e-05 eta: 3:53:03 time: 0.3688 data_time: 0.0048 loss: 1.7621 03/13 08:42:23 - mmengine - INFO - Epoch(train) [566][ 900/1252] lr: 2.8445e-05 eta: 3:52:30 time: 0.3066 data_time: 0.0050 loss: 1.7553 03/13 08:42:56 - mmengine - INFO - Epoch(train) [566][1000/1252] lr: 2.8445e-05 eta: 3:51:58 time: 0.2848 data_time: 0.0050 loss: 1.7338 03/13 08:43:28 - mmengine - INFO - Epoch(train) [566][1100/1252] lr: 2.8445e-05 eta: 3:51:25 time: 0.3065 data_time: 0.1870 loss: 1.6668 03/13 08:44:00 - mmengine - INFO - Epoch(train) [566][1200/1252] lr: 2.8445e-05 eta: 3:50:52 time: 0.3160 data_time: 0.0048 loss: 1.7047 03/13 08:44:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:44:16 - mmengine - INFO - Saving checkpoint at 566 epochs 03/13 08:44:38 - mmengine - INFO - Epoch(val) [566][49/49] accuracy/top1: 67.0640 accuracy/top5: 87.1120 03/13 08:45:13 - mmengine - INFO - Epoch(train) [567][ 100/1252] lr: 2.7677e-05 eta: 3:50:03 time: 0.2596 data_time: 0.0053 loss: 1.6978 03/13 08:45:45 - mmengine - INFO - Epoch(train) [567][ 200/1252] lr: 2.7677e-05 eta: 3:49:30 time: 0.3484 data_time: 0.0050 loss: 1.6660 03/13 08:46:17 - mmengine - INFO - Epoch(train) [567][ 300/1252] lr: 2.7677e-05 eta: 3:48:58 time: 0.3274 data_time: 0.2029 loss: 1.8221 03/13 08:46:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:46:50 - mmengine - INFO - Epoch(train) [567][ 400/1252] lr: 2.7677e-05 eta: 3:48:25 time: 0.3179 data_time: 0.0049 loss: 1.7659 03/13 08:47:22 - mmengine - INFO - Epoch(train) [567][ 500/1252] lr: 2.7677e-05 eta: 3:47:53 time: 0.2875 data_time: 0.0046 loss: 1.6770 03/13 08:47:53 - mmengine - INFO - Epoch(train) [567][ 600/1252] lr: 2.7677e-05 eta: 3:47:20 time: 0.2491 data_time: 0.0129 loss: 1.7852 03/13 08:48:27 - mmengine - INFO - Epoch(train) [567][ 700/1252] lr: 2.7677e-05 eta: 3:46:47 time: 0.3157 data_time: 0.0054 loss: 1.8056 03/13 08:48:59 - mmengine - INFO - Epoch(train) [567][ 800/1252] lr: 2.7677e-05 eta: 3:46:15 time: 0.2986 data_time: 0.0047 loss: 1.7576 03/13 08:49:31 - mmengine - INFO - Epoch(train) [567][ 900/1252] lr: 2.7677e-05 eta: 3:45:42 time: 0.3325 data_time: 0.1475 loss: 1.6641 03/13 08:50:03 - mmengine - INFO - Epoch(train) [567][1000/1252] lr: 2.7677e-05 eta: 3:45:10 time: 0.3397 data_time: 0.0051 loss: 1.6925 03/13 08:50:36 - mmengine - INFO - Epoch(train) [567][1100/1252] lr: 2.7677e-05 eta: 3:44:37 time: 0.3729 data_time: 0.2181 loss: 1.8059 03/13 08:51:09 - mmengine - INFO - Epoch(train) [567][1200/1252] lr: 2.7677e-05 eta: 3:44:04 time: 0.3335 data_time: 0.0055 loss: 1.7289 03/13 08:51:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:51:24 - mmengine - INFO - Saving checkpoint at 567 epochs 03/13 08:51:47 - mmengine - INFO - Epoch(val) [567][49/49] accuracy/top1: 66.9660 accuracy/top5: 87.0420 03/13 08:52:22 - mmengine - INFO - Epoch(train) [568][ 100/1252] lr: 2.7677e-05 eta: 3:43:15 time: 0.2998 data_time: 0.0052 loss: 1.7962 03/13 08:52:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:52:54 - mmengine - INFO - Epoch(train) [568][ 200/1252] lr: 2.7677e-05 eta: 3:42:43 time: 0.3175 data_time: 0.0050 loss: 1.8748 03/13 08:53:26 - mmengine - INFO - Epoch(train) [568][ 300/1252] lr: 2.7677e-05 eta: 3:42:10 time: 0.3164 data_time: 0.0159 loss: 1.7182 03/13 08:53:59 - mmengine - INFO - Epoch(train) [568][ 400/1252] lr: 2.7677e-05 eta: 3:41:37 time: 0.2863 data_time: 0.0047 loss: 1.7270 03/13 08:54:33 - mmengine - INFO - Epoch(train) [568][ 500/1252] lr: 2.7677e-05 eta: 3:41:05 time: 0.3256 data_time: 0.0049 loss: 1.7558 03/13 08:55:04 - mmengine - INFO - Epoch(train) [568][ 600/1252] lr: 2.7677e-05 eta: 3:40:32 time: 0.2795 data_time: 0.0049 loss: 1.8047 03/13 08:55:36 - mmengine - INFO - Epoch(train) [568][ 700/1252] lr: 2.7677e-05 eta: 3:40:00 time: 0.3217 data_time: 0.0051 loss: 1.7390 03/13 08:56:08 - mmengine - INFO - Epoch(train) [568][ 800/1252] lr: 2.7677e-05 eta: 3:39:27 time: 0.3131 data_time: 0.0823 loss: 1.8275 03/13 08:56:40 - mmengine - INFO - Epoch(train) [568][ 900/1252] lr: 2.7677e-05 eta: 3:38:54 time: 0.3102 data_time: 0.0048 loss: 1.7991 03/13 08:57:14 - mmengine - INFO - Epoch(train) [568][1000/1252] lr: 2.7677e-05 eta: 3:38:22 time: 0.3845 data_time: 0.0044 loss: 1.8322 03/13 08:57:46 - mmengine - INFO - Epoch(train) [568][1100/1252] lr: 2.7677e-05 eta: 3:37:49 time: 0.3110 data_time: 0.0339 loss: 1.8571 03/13 08:57:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:58:18 - mmengine - INFO - Epoch(train) [568][1200/1252] lr: 2.7677e-05 eta: 3:37:17 time: 0.2867 data_time: 0.0051 loss: 1.7930 03/13 08:58:34 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 08:58:34 - mmengine - INFO - Saving checkpoint at 568 epochs 03/13 08:58:57 - mmengine - INFO - Epoch(val) [568][49/49] accuracy/top1: 67.0180 accuracy/top5: 87.0920 03/13 08:59:32 - mmengine - INFO - Epoch(train) [569][ 100/1252] lr: 2.6929e-05 eta: 3:36:27 time: 0.3796 data_time: 0.0050 loss: 1.7913 03/13 09:00:04 - mmengine - INFO - Epoch(train) [569][ 200/1252] lr: 2.6929e-05 eta: 3:35:55 time: 0.3233 data_time: 0.0058 loss: 1.8368 03/13 09:00:37 - mmengine - INFO - Epoch(train) [569][ 300/1252] lr: 2.6929e-05 eta: 3:35:22 time: 0.3043 data_time: 0.0053 loss: 1.7490 03/13 09:01:09 - mmengine - INFO - Epoch(train) [569][ 400/1252] lr: 2.6929e-05 eta: 3:34:50 time: 0.2773 data_time: 0.0336 loss: 1.7186 03/13 09:01:41 - mmengine - INFO - Epoch(train) [569][ 500/1252] lr: 2.6929e-05 eta: 3:34:17 time: 0.3226 data_time: 0.0049 loss: 1.7030 03/13 09:02:14 - mmengine - INFO - Epoch(train) [569][ 600/1252] lr: 2.6929e-05 eta: 3:33:44 time: 0.3682 data_time: 0.0051 loss: 1.8301 03/13 09:02:46 - mmengine - INFO - Epoch(train) [569][ 700/1252] lr: 2.6929e-05 eta: 3:33:12 time: 0.2951 data_time: 0.0050 loss: 1.7889 03/13 09:03:18 - mmengine - INFO - Epoch(train) [569][ 800/1252] lr: 2.6929e-05 eta: 3:32:39 time: 0.3061 data_time: 0.0825 loss: 1.7362 03/13 09:03:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:03:51 - mmengine - INFO - Epoch(train) [569][ 900/1252] lr: 2.6929e-05 eta: 3:32:07 time: 0.3327 data_time: 0.1224 loss: 1.7484 03/13 09:04:23 - mmengine - INFO - Epoch(train) [569][1000/1252] lr: 2.6929e-05 eta: 3:31:34 time: 0.3263 data_time: 0.0048 loss: 1.7328 03/13 09:04:56 - mmengine - INFO - Epoch(train) [569][1100/1252] lr: 2.6929e-05 eta: 3:31:02 time: 0.3366 data_time: 0.0051 loss: 1.7470 03/13 09:05:28 - mmengine - INFO - Epoch(train) [569][1200/1252] lr: 2.6929e-05 eta: 3:30:29 time: 0.2968 data_time: 0.1217 loss: 1.7229 03/13 09:05:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:05:44 - mmengine - INFO - Saving checkpoint at 569 epochs 03/13 09:06:06 - mmengine - INFO - Epoch(val) [569][49/49] accuracy/top1: 67.0000 accuracy/top5: 87.1420 03/13 09:06:41 - mmengine - INFO - Epoch(train) [570][ 100/1252] lr: 2.6929e-05 eta: 3:29:40 time: 0.2647 data_time: 0.0332 loss: 1.7311 03/13 09:07:13 - mmengine - INFO - Epoch(train) [570][ 200/1252] lr: 2.6929e-05 eta: 3:29:07 time: 0.2988 data_time: 0.1793 loss: 1.7498 03/13 09:07:46 - mmengine - INFO - Epoch(train) [570][ 300/1252] lr: 2.6929e-05 eta: 3:28:35 time: 0.3356 data_time: 0.0046 loss: 1.6185 03/13 09:08:18 - mmengine - INFO - Epoch(train) [570][ 400/1252] lr: 2.6929e-05 eta: 3:28:02 time: 0.2721 data_time: 0.0054 loss: 1.7261 03/13 09:08:51 - mmengine - INFO - Epoch(train) [570][ 500/1252] lr: 2.6929e-05 eta: 3:27:29 time: 0.3973 data_time: 0.0048 loss: 1.6915 03/13 09:09:23 - mmengine - INFO - Epoch(train) [570][ 600/1252] lr: 2.6929e-05 eta: 3:26:57 time: 0.4052 data_time: 0.0362 loss: 1.8087 03/13 09:09:27 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:09:56 - mmengine - INFO - Epoch(train) [570][ 700/1252] lr: 2.6929e-05 eta: 3:26:24 time: 0.2980 data_time: 0.0049 loss: 1.7721 03/13 09:10:28 - mmengine - INFO - Epoch(train) [570][ 800/1252] lr: 2.6929e-05 eta: 3:25:52 time: 0.3374 data_time: 0.0050 loss: 1.6757 03/13 09:11:01 - mmengine - INFO - Epoch(train) [570][ 900/1252] lr: 2.6929e-05 eta: 3:25:19 time: 0.4144 data_time: 0.0052 loss: 1.6115 03/13 09:11:33 - mmengine - INFO - Epoch(train) [570][1000/1252] lr: 2.6929e-05 eta: 3:24:47 time: 0.3800 data_time: 0.0055 loss: 1.7611 03/13 09:12:05 - mmengine - INFO - Epoch(train) [570][1100/1252] lr: 2.6929e-05 eta: 3:24:14 time: 0.2564 data_time: 0.0054 loss: 1.7346 03/13 09:12:37 - mmengine - INFO - Epoch(train) [570][1200/1252] lr: 2.6929e-05 eta: 3:23:41 time: 0.2975 data_time: 0.0050 loss: 1.7961 03/13 09:12:53 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:12:53 - mmengine - INFO - Saving checkpoint at 570 epochs 03/13 09:13:15 - mmengine - INFO - Epoch(val) [570][49/49] accuracy/top1: 66.9480 accuracy/top5: 87.0600 03/13 09:13:50 - mmengine - INFO - Epoch(train) [571][ 100/1252] lr: 2.6202e-05 eta: 3:22:52 time: 0.3239 data_time: 0.0051 loss: 1.7005 03/13 09:14:23 - mmengine - INFO - Epoch(train) [571][ 200/1252] lr: 2.6202e-05 eta: 3:22:19 time: 0.3892 data_time: 0.0214 loss: 1.7166 03/13 09:14:55 - mmengine - INFO - Epoch(train) [571][ 300/1252] lr: 2.6202e-05 eta: 3:21:47 time: 0.3104 data_time: 0.1398 loss: 1.7661 03/13 09:15:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:15:27 - mmengine - INFO - Epoch(train) [571][ 400/1252] lr: 2.6202e-05 eta: 3:21:14 time: 0.3340 data_time: 0.0051 loss: 1.7624 03/13 09:16:00 - mmengine - INFO - Epoch(train) [571][ 500/1252] lr: 2.6202e-05 eta: 3:20:42 time: 0.3278 data_time: 0.0045 loss: 1.6896 03/13 09:16:32 - mmengine - INFO - Epoch(train) [571][ 600/1252] lr: 2.6202e-05 eta: 3:20:09 time: 0.2798 data_time: 0.0050 loss: 1.7307 03/13 09:17:05 - mmengine - INFO - Epoch(train) [571][ 700/1252] lr: 2.6202e-05 eta: 3:19:37 time: 0.3930 data_time: 0.0372 loss: 1.7017 03/13 09:17:37 - mmengine - INFO - Epoch(train) [571][ 800/1252] lr: 2.6202e-05 eta: 3:19:04 time: 0.3778 data_time: 0.0049 loss: 1.7987 03/13 09:18:09 - mmengine - INFO - Epoch(train) [571][ 900/1252] lr: 2.6202e-05 eta: 3:18:31 time: 0.3386 data_time: 0.0046 loss: 1.7608 03/13 09:18:41 - mmengine - INFO - Epoch(train) [571][1000/1252] lr: 2.6202e-05 eta: 3:17:59 time: 0.2943 data_time: 0.0050 loss: 1.8079 03/13 09:19:14 - mmengine - INFO - Epoch(train) [571][1100/1252] lr: 2.6202e-05 eta: 3:17:26 time: 0.2862 data_time: 0.0051 loss: 1.7802 03/13 09:19:46 - mmengine - INFO - Epoch(train) [571][1200/1252] lr: 2.6202e-05 eta: 3:16:54 time: 0.3241 data_time: 0.0054 loss: 1.7322 03/13 09:20:03 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:20:03 - mmengine - INFO - Saving checkpoint at 571 epochs 03/13 09:20:25 - mmengine - INFO - Epoch(val) [571][49/49] accuracy/top1: 67.0040 accuracy/top5: 87.1020 03/13 09:21:00 - mmengine - INFO - Epoch(train) [572][ 100/1252] lr: 2.6202e-05 eta: 3:16:05 time: 0.3413 data_time: 0.0055 loss: 1.8087 03/13 09:21:02 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:21:32 - mmengine - INFO - Epoch(train) [572][ 200/1252] lr: 2.6202e-05 eta: 3:15:32 time: 0.2661 data_time: 0.0051 loss: 1.7509 03/13 09:22:04 - mmengine - INFO - Epoch(train) [572][ 300/1252] lr: 2.6202e-05 eta: 3:14:59 time: 0.3143 data_time: 0.0048 loss: 1.7901 03/13 09:22:37 - mmengine - INFO - Epoch(train) [572][ 400/1252] lr: 2.6202e-05 eta: 3:14:27 time: 0.2712 data_time: 0.0055 loss: 1.7217 03/13 09:23:10 - mmengine - INFO - Epoch(train) [572][ 500/1252] lr: 2.6202e-05 eta: 3:13:54 time: 0.3701 data_time: 0.1777 loss: 1.7574 03/13 09:23:42 - mmengine - INFO - Epoch(train) [572][ 600/1252] lr: 2.6202e-05 eta: 3:13:22 time: 0.2950 data_time: 0.0066 loss: 1.7457 03/13 09:24:15 - mmengine - INFO - Epoch(train) [572][ 700/1252] lr: 2.6202e-05 eta: 3:12:49 time: 0.3361 data_time: 0.0049 loss: 1.8336 03/13 09:24:48 - mmengine - INFO - Epoch(train) [572][ 800/1252] lr: 2.6202e-05 eta: 3:12:17 time: 0.3397 data_time: 0.0044 loss: 1.7831 03/13 09:25:19 - mmengine - INFO - Epoch(train) [572][ 900/1252] lr: 2.6202e-05 eta: 3:11:44 time: 0.3059 data_time: 0.0061 loss: 1.6696 03/13 09:25:51 - mmengine - INFO - Epoch(train) [572][1000/1252] lr: 2.6202e-05 eta: 3:11:11 time: 0.2793 data_time: 0.0098 loss: 1.7378 03/13 09:26:24 - mmengine - INFO - Epoch(train) [572][1100/1252] lr: 2.6202e-05 eta: 3:10:39 time: 0.2938 data_time: 0.0886 loss: 1.6949 03/13 09:26:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:26:56 - mmengine - INFO - Epoch(train) [572][1200/1252] lr: 2.6202e-05 eta: 3:10:06 time: 0.3395 data_time: 0.1883 loss: 1.7458 03/13 09:27:12 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:27:13 - mmengine - INFO - Saving checkpoint at 572 epochs 03/13 09:27:35 - mmengine - INFO - Epoch(val) [572][49/49] accuracy/top1: 67.0240 accuracy/top5: 87.1540 03/13 09:28:12 - mmengine - INFO - Epoch(train) [573][ 100/1252] lr: 2.5495e-05 eta: 3:09:17 time: 0.3452 data_time: 0.0052 loss: 1.6903 03/13 09:28:43 - mmengine - INFO - Epoch(train) [573][ 200/1252] lr: 2.5495e-05 eta: 3:08:45 time: 0.3354 data_time: 0.0052 loss: 1.7585 03/13 09:29:16 - mmengine - INFO - Epoch(train) [573][ 300/1252] lr: 2.5495e-05 eta: 3:08:12 time: 0.2598 data_time: 0.0056 loss: 1.7658 03/13 09:29:48 - mmengine - INFO - Epoch(train) [573][ 400/1252] lr: 2.5495e-05 eta: 3:07:40 time: 0.3353 data_time: 0.0049 loss: 1.7064 03/13 09:30:20 - mmengine - INFO - Epoch(train) [573][ 500/1252] lr: 2.5495e-05 eta: 3:07:07 time: 0.2615 data_time: 0.0051 loss: 1.8553 03/13 09:30:52 - mmengine - INFO - Epoch(train) [573][ 600/1252] lr: 2.5495e-05 eta: 3:06:34 time: 0.3047 data_time: 0.0059 loss: 1.7576 03/13 09:31:24 - mmengine - INFO - Epoch(train) [573][ 700/1252] lr: 2.5495e-05 eta: 3:06:02 time: 0.3358 data_time: 0.0047 loss: 1.7536 03/13 09:31:57 - mmengine - INFO - Epoch(train) [573][ 800/1252] lr: 2.5495e-05 eta: 3:05:29 time: 0.2883 data_time: 0.0046 loss: 1.8212 03/13 09:32:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:32:29 - mmengine - INFO - Epoch(train) [573][ 900/1252] lr: 2.5495e-05 eta: 3:04:57 time: 0.3218 data_time: 0.0045 loss: 1.8250 03/13 09:33:02 - mmengine - INFO - Epoch(train) [573][1000/1252] lr: 2.5495e-05 eta: 3:04:24 time: 0.3303 data_time: 0.0058 loss: 1.8002 03/13 09:33:34 - mmengine - INFO - Epoch(train) [573][1100/1252] lr: 2.5495e-05 eta: 3:03:52 time: 0.3155 data_time: 0.0049 loss: 1.8328 03/13 09:34:06 - mmengine - INFO - Epoch(train) [573][1200/1252] lr: 2.5495e-05 eta: 3:03:19 time: 0.3192 data_time: 0.0185 loss: 1.8023 03/13 09:34:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:34:22 - mmengine - INFO - Saving checkpoint at 573 epochs 03/13 09:34:44 - mmengine - INFO - Epoch(val) [573][49/49] accuracy/top1: 67.0580 accuracy/top5: 87.1420 03/13 09:35:18 - mmengine - INFO - Epoch(train) [574][ 100/1252] lr: 2.5495e-05 eta: 3:02:29 time: 0.3242 data_time: 0.1894 loss: 1.7988 03/13 09:35:51 - mmengine - INFO - Epoch(train) [574][ 200/1252] lr: 2.5495e-05 eta: 3:01:57 time: 0.3141 data_time: 0.0042 loss: 1.7384 03/13 09:36:23 - mmengine - INFO - Epoch(train) [574][ 300/1252] lr: 2.5495e-05 eta: 3:01:24 time: 0.3270 data_time: 0.0474 loss: 1.7616 03/13 09:36:56 - mmengine - INFO - Epoch(train) [574][ 400/1252] lr: 2.5495e-05 eta: 3:00:52 time: 0.2791 data_time: 0.0059 loss: 1.7618 03/13 09:37:27 - mmengine - INFO - Epoch(train) [574][ 500/1252] lr: 2.5495e-05 eta: 3:00:19 time: 0.2639 data_time: 0.0052 loss: 1.6585 03/13 09:38:01 - mmengine - INFO - Epoch(train) [574][ 600/1252] lr: 2.5495e-05 eta: 2:59:47 time: 0.3077 data_time: 0.0052 loss: 1.6563 03/13 09:38:01 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:38:32 - mmengine - INFO - Epoch(train) [574][ 700/1252] lr: 2.5495e-05 eta: 2:59:14 time: 0.3350 data_time: 0.0049 loss: 1.7089 03/13 09:39:05 - mmengine - INFO - Epoch(train) [574][ 800/1252] lr: 2.5495e-05 eta: 2:58:41 time: 0.3557 data_time: 0.0230 loss: 1.8566 03/13 09:39:37 - mmengine - INFO - Epoch(train) [574][ 900/1252] lr: 2.5495e-05 eta: 2:58:09 time: 0.2913 data_time: 0.0054 loss: 1.6857 03/13 09:40:10 - mmengine - INFO - Epoch(train) [574][1000/1252] lr: 2.5495e-05 eta: 2:57:36 time: 0.3934 data_time: 0.0056 loss: 1.7240 03/13 09:40:42 - mmengine - INFO - Epoch(train) [574][1100/1252] lr: 2.5495e-05 eta: 2:57:04 time: 0.3525 data_time: 0.0047 loss: 1.7100 03/13 09:41:14 - mmengine - INFO - Epoch(train) [574][1200/1252] lr: 2.5495e-05 eta: 2:56:31 time: 0.3306 data_time: 0.2028 loss: 1.8309 03/13 09:41:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:41:30 - mmengine - INFO - Saving checkpoint at 574 epochs 03/13 09:41:52 - mmengine - INFO - Epoch(val) [574][49/49] accuracy/top1: 67.1220 accuracy/top5: 87.0720 03/13 09:42:28 - mmengine - INFO - Epoch(train) [575][ 100/1252] lr: 2.4806e-05 eta: 2:55:42 time: 0.3715 data_time: 0.1060 loss: 1.8253 03/13 09:43:01 - mmengine - INFO - Epoch(train) [575][ 200/1252] lr: 2.4806e-05 eta: 2:55:10 time: 0.2719 data_time: 0.0047 loss: 1.6503 03/13 09:43:34 - mmengine - INFO - Epoch(train) [575][ 300/1252] lr: 2.4806e-05 eta: 2:54:37 time: 0.3453 data_time: 0.0043 loss: 1.7573 03/13 09:43:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:44:07 - mmengine - INFO - Epoch(train) [575][ 400/1252] lr: 2.4806e-05 eta: 2:54:05 time: 0.2988 data_time: 0.0047 loss: 1.8129 03/13 09:44:40 - mmengine - INFO - Epoch(train) [575][ 500/1252] lr: 2.4806e-05 eta: 2:53:32 time: 0.3227 data_time: 0.1421 loss: 1.7592 03/13 09:45:14 - mmengine - INFO - Epoch(train) [575][ 600/1252] lr: 2.4806e-05 eta: 2:53:00 time: 0.3219 data_time: 0.1708 loss: 1.8047 03/13 09:45:47 - mmengine - INFO - Epoch(train) [575][ 700/1252] lr: 2.4806e-05 eta: 2:52:28 time: 0.3218 data_time: 0.0050 loss: 1.6130 03/13 09:46:20 - mmengine - INFO - Epoch(train) [575][ 800/1252] lr: 2.4806e-05 eta: 2:51:55 time: 0.3344 data_time: 0.0058 loss: 1.6686 03/13 09:46:54 - mmengine - INFO - Epoch(train) [575][ 900/1252] lr: 2.4806e-05 eta: 2:51:23 time: 0.3213 data_time: 0.0049 loss: 1.7074 03/13 09:47:27 - mmengine - INFO - Epoch(train) [575][1000/1252] lr: 2.4806e-05 eta: 2:50:50 time: 0.2804 data_time: 0.0050 loss: 1.7981 03/13 09:48:00 - mmengine - INFO - Epoch(train) [575][1100/1252] lr: 2.4806e-05 eta: 2:50:18 time: 0.2895 data_time: 0.0050 loss: 1.7249 03/13 09:48:33 - mmengine - INFO - Epoch(train) [575][1200/1252] lr: 2.4806e-05 eta: 2:49:45 time: 0.3049 data_time: 0.0185 loss: 1.7733 03/13 09:48:50 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:48:50 - mmengine - INFO - Saving checkpoint at 575 epochs 03/13 09:49:13 - mmengine - INFO - Epoch(val) [575][49/49] accuracy/top1: 67.0840 accuracy/top5: 87.1500 03/13 09:49:47 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:49:47 - mmengine - INFO - Epoch(train) [576][ 100/1252] lr: 2.4806e-05 eta: 2:48:56 time: 0.2793 data_time: 0.0057 loss: 1.7654 03/13 09:50:20 - mmengine - INFO - Epoch(train) [576][ 200/1252] lr: 2.4806e-05 eta: 2:48:24 time: 0.3482 data_time: 0.0048 loss: 1.7850 03/13 09:50:52 - mmengine - INFO - Epoch(train) [576][ 300/1252] lr: 2.4806e-05 eta: 2:47:51 time: 0.2789 data_time: 0.0056 loss: 1.7951 03/13 09:51:24 - mmengine - INFO - Epoch(train) [576][ 400/1252] lr: 2.4806e-05 eta: 2:47:19 time: 0.3056 data_time: 0.0054 loss: 1.8350 03/13 09:51:57 - mmengine - INFO - Epoch(train) [576][ 500/1252] lr: 2.4806e-05 eta: 2:46:46 time: 0.3101 data_time: 0.0049 loss: 1.7194 03/13 09:52:29 - mmengine - INFO - Epoch(train) [576][ 600/1252] lr: 2.4806e-05 eta: 2:46:13 time: 0.3194 data_time: 0.0050 loss: 1.7362 03/13 09:53:02 - mmengine - INFO - Epoch(train) [576][ 700/1252] lr: 2.4806e-05 eta: 2:45:41 time: 0.3528 data_time: 0.0693 loss: 1.7542 03/13 09:53:34 - mmengine - INFO - Epoch(train) [576][ 800/1252] lr: 2.4806e-05 eta: 2:45:08 time: 0.3301 data_time: 0.0047 loss: 1.8068 03/13 09:54:06 - mmengine - INFO - Epoch(train) [576][ 900/1252] lr: 2.4806e-05 eta: 2:44:36 time: 0.3240 data_time: 0.0052 loss: 1.7051 03/13 09:54:38 - mmengine - INFO - Epoch(train) [576][1000/1252] lr: 2.4806e-05 eta: 2:44:03 time: 0.3333 data_time: 0.0047 loss: 1.7137 03/13 09:55:11 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:55:11 - mmengine - INFO - Epoch(train) [576][1100/1252] lr: 2.4806e-05 eta: 2:43:31 time: 0.2919 data_time: 0.0045 loss: 1.7380 03/13 09:55:43 - mmengine - INFO - Epoch(train) [576][1200/1252] lr: 2.4806e-05 eta: 2:42:58 time: 0.3418 data_time: 0.0217 loss: 1.7758 03/13 09:55:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 09:55:58 - mmengine - INFO - Saving checkpoint at 576 epochs 03/13 09:56:21 - mmengine - INFO - Epoch(val) [576][49/49] accuracy/top1: 67.1380 accuracy/top5: 87.1220 03/13 09:56:56 - mmengine - INFO - Epoch(train) [577][ 100/1252] lr: 2.4137e-05 eta: 2:42:09 time: 0.2771 data_time: 0.0158 loss: 1.7688 03/13 09:57:30 - mmengine - INFO - Epoch(train) [577][ 200/1252] lr: 2.4137e-05 eta: 2:41:36 time: 0.3551 data_time: 0.0044 loss: 1.7641 03/13 09:58:02 - mmengine - INFO - Epoch(train) [577][ 300/1252] lr: 2.4137e-05 eta: 2:41:04 time: 0.3499 data_time: 0.0244 loss: 1.7499 03/13 09:58:33 - mmengine - INFO - Epoch(train) [577][ 400/1252] lr: 2.4137e-05 eta: 2:40:31 time: 0.2560 data_time: 0.0588 loss: 1.7764 03/13 09:59:06 - mmengine - INFO - Epoch(train) [577][ 500/1252] lr: 2.4137e-05 eta: 2:39:59 time: 0.3019 data_time: 0.0052 loss: 1.7814 03/13 09:59:39 - mmengine - INFO - Epoch(train) [577][ 600/1252] lr: 2.4137e-05 eta: 2:39:26 time: 0.3445 data_time: 0.0044 loss: 1.7223 03/13 10:00:11 - mmengine - INFO - Epoch(train) [577][ 700/1252] lr: 2.4137e-05 eta: 2:38:53 time: 0.2964 data_time: 0.0054 loss: 1.8313 03/13 10:00:43 - mmengine - INFO - Epoch(train) [577][ 800/1252] lr: 2.4137e-05 eta: 2:38:21 time: 0.3562 data_time: 0.0919 loss: 1.6907 03/13 10:00:59 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:01:15 - mmengine - INFO - Epoch(train) [577][ 900/1252] lr: 2.4137e-05 eta: 2:37:48 time: 0.3854 data_time: 0.0356 loss: 1.8215 03/13 10:01:48 - mmengine - INFO - Epoch(train) [577][1000/1252] lr: 2.4137e-05 eta: 2:37:16 time: 0.3461 data_time: 0.0057 loss: 1.8171 03/13 10:02:20 - mmengine - INFO - Epoch(train) [577][1100/1252] lr: 2.4137e-05 eta: 2:36:43 time: 0.3128 data_time: 0.0052 loss: 1.7826 03/13 10:02:52 - mmengine - INFO - Epoch(train) [577][1200/1252] lr: 2.4137e-05 eta: 2:36:11 time: 0.3102 data_time: 0.0306 loss: 1.6791 03/13 10:03:08 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:03:08 - mmengine - INFO - Saving checkpoint at 577 epochs 03/13 10:03:31 - mmengine - INFO - Epoch(val) [577][49/49] accuracy/top1: 67.0540 accuracy/top5: 87.1500 03/13 10:04:06 - mmengine - INFO - Epoch(train) [578][ 100/1252] lr: 2.4137e-05 eta: 2:35:21 time: 0.3326 data_time: 0.0060 loss: 1.6821 03/13 10:04:38 - mmengine - INFO - Epoch(train) [578][ 200/1252] lr: 2.4137e-05 eta: 2:34:49 time: 0.2908 data_time: 0.0051 loss: 1.7342 03/13 10:05:11 - mmengine - INFO - Epoch(train) [578][ 300/1252] lr: 2.4137e-05 eta: 2:34:16 time: 0.3050 data_time: 0.0048 loss: 1.6687 03/13 10:05:43 - mmengine - INFO - Epoch(train) [578][ 400/1252] lr: 2.4137e-05 eta: 2:33:44 time: 0.3668 data_time: 0.0422 loss: 1.8002 03/13 10:06:15 - mmengine - INFO - Epoch(train) [578][ 500/1252] lr: 2.4137e-05 eta: 2:33:11 time: 0.2512 data_time: 0.0047 loss: 1.8164 03/13 10:06:46 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:06:47 - mmengine - INFO - Epoch(train) [578][ 600/1252] lr: 2.4137e-05 eta: 2:32:39 time: 0.3075 data_time: 0.0054 loss: 1.7829 03/13 10:07:19 - mmengine - INFO - Epoch(train) [578][ 700/1252] lr: 2.4137e-05 eta: 2:32:06 time: 0.3351 data_time: 0.0258 loss: 1.6579 03/13 10:07:52 - mmengine - INFO - Epoch(train) [578][ 800/1252] lr: 2.4137e-05 eta: 2:31:33 time: 0.3248 data_time: 0.0048 loss: 1.6340 03/13 10:08:24 - mmengine - INFO - Epoch(train) [578][ 900/1252] lr: 2.4137e-05 eta: 2:31:01 time: 0.3689 data_time: 0.0053 loss: 1.8862 03/13 10:08:56 - mmengine - INFO - Epoch(train) [578][1000/1252] lr: 2.4137e-05 eta: 2:30:28 time: 0.3342 data_time: 0.0048 loss: 1.7335 03/13 10:09:28 - mmengine - INFO - Epoch(train) [578][1100/1252] lr: 2.4137e-05 eta: 2:29:56 time: 0.3183 data_time: 0.0076 loss: 1.6898 03/13 10:10:00 - mmengine - INFO - Epoch(train) [578][1200/1252] lr: 2.4137e-05 eta: 2:29:23 time: 0.2865 data_time: 0.0052 loss: 1.7828 03/13 10:10:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:10:17 - mmengine - INFO - Saving checkpoint at 578 epochs 03/13 10:10:39 - mmengine - INFO - Epoch(val) [578][49/49] accuracy/top1: 67.1040 accuracy/top5: 87.1480 03/13 10:11:14 - mmengine - INFO - Epoch(train) [579][ 100/1252] lr: 2.3485e-05 eta: 2:28:34 time: 0.3598 data_time: 0.0776 loss: 1.8141 03/13 10:11:46 - mmengine - INFO - Epoch(train) [579][ 200/1252] lr: 2.3485e-05 eta: 2:28:01 time: 0.3304 data_time: 0.0054 loss: 1.8088 03/13 10:12:19 - mmengine - INFO - Epoch(train) [579][ 300/1252] lr: 2.3485e-05 eta: 2:27:29 time: 0.3073 data_time: 0.1176 loss: 1.7472 03/13 10:12:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:12:52 - mmengine - INFO - Epoch(train) [579][ 400/1252] lr: 2.3485e-05 eta: 2:26:56 time: 0.4071 data_time: 0.0965 loss: 1.6962 03/13 10:13:24 - mmengine - INFO - Epoch(train) [579][ 500/1252] lr: 2.3485e-05 eta: 2:26:24 time: 0.3441 data_time: 0.0630 loss: 1.7092 03/13 10:13:56 - mmengine - INFO - Epoch(train) [579][ 600/1252] lr: 2.3485e-05 eta: 2:25:51 time: 0.3168 data_time: 0.0051 loss: 1.7038 03/13 10:14:29 - mmengine - INFO - Epoch(train) [579][ 700/1252] lr: 2.3485e-05 eta: 2:25:19 time: 0.2675 data_time: 0.0062 loss: 1.6851 03/13 10:15:01 - mmengine - INFO - Epoch(train) [579][ 800/1252] lr: 2.3485e-05 eta: 2:24:46 time: 0.3452 data_time: 0.0050 loss: 1.8551 03/13 10:15:34 - mmengine - INFO - Epoch(train) [579][ 900/1252] lr: 2.3485e-05 eta: 2:24:14 time: 0.2872 data_time: 0.0047 loss: 1.6693 03/13 10:16:05 - mmengine - INFO - Epoch(train) [579][1000/1252] lr: 2.3485e-05 eta: 2:23:41 time: 0.2748 data_time: 0.0053 loss: 1.7313 03/13 10:16:38 - mmengine - INFO - Epoch(train) [579][1100/1252] lr: 2.3485e-05 eta: 2:23:09 time: 0.3215 data_time: 0.0069 loss: 1.7409 03/13 10:17:11 - mmengine - INFO - Epoch(train) [579][1200/1252] lr: 2.3485e-05 eta: 2:22:36 time: 0.3955 data_time: 0.0051 loss: 1.8627 03/13 10:17:26 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:17:26 - mmengine - INFO - Saving checkpoint at 579 epochs 03/13 10:17:49 - mmengine - INFO - Epoch(val) [579][49/49] accuracy/top1: 67.0320 accuracy/top5: 87.1400 03/13 10:18:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:18:24 - mmengine - INFO - Epoch(train) [580][ 100/1252] lr: 2.3485e-05 eta: 2:21:47 time: 0.3344 data_time: 0.0049 loss: 1.7655 03/13 10:18:56 - mmengine - INFO - Epoch(train) [580][ 200/1252] lr: 2.3485e-05 eta: 2:21:14 time: 0.3282 data_time: 0.0045 loss: 1.7835 03/13 10:19:28 - mmengine - INFO - Epoch(train) [580][ 300/1252] lr: 2.3485e-05 eta: 2:20:42 time: 0.2810 data_time: 0.0050 loss: 1.8512 03/13 10:20:01 - mmengine - INFO - Epoch(train) [580][ 400/1252] lr: 2.3485e-05 eta: 2:20:09 time: 0.3052 data_time: 0.0051 loss: 1.7630 03/13 10:20:33 - mmengine - INFO - Epoch(train) [580][ 500/1252] lr: 2.3485e-05 eta: 2:19:37 time: 0.2478 data_time: 0.0050 loss: 1.9052 03/13 10:21:05 - mmengine - INFO - Epoch(train) [580][ 600/1252] lr: 2.3485e-05 eta: 2:19:04 time: 0.2771 data_time: 0.0058 loss: 1.7543 03/13 10:21:38 - mmengine - INFO - Epoch(train) [580][ 700/1252] lr: 2.3485e-05 eta: 2:18:32 time: 0.2770 data_time: 0.0046 loss: 1.7332 03/13 10:22:10 - mmengine - INFO - Epoch(train) [580][ 800/1252] lr: 2.3485e-05 eta: 2:17:59 time: 0.2501 data_time: 0.0064 loss: 1.7615 03/13 10:22:43 - mmengine - INFO - Epoch(train) [580][ 900/1252] lr: 2.3485e-05 eta: 2:17:27 time: 0.3692 data_time: 0.2098 loss: 1.8065 03/13 10:23:15 - mmengine - INFO - Epoch(train) [580][1000/1252] lr: 2.3485e-05 eta: 2:16:54 time: 0.3557 data_time: 0.1617 loss: 1.7808 03/13 10:23:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:23:46 - mmengine - INFO - Epoch(train) [580][1100/1252] lr: 2.3485e-05 eta: 2:16:21 time: 0.3149 data_time: 0.0144 loss: 1.6691 03/13 10:24:20 - mmengine - INFO - Epoch(train) [580][1200/1252] lr: 2.3485e-05 eta: 2:15:49 time: 0.3765 data_time: 0.2630 loss: 1.6576 03/13 10:24:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:24:35 - mmengine - INFO - Saving checkpoint at 580 epochs 03/13 10:24:58 - mmengine - INFO - Epoch(val) [580][49/49] accuracy/top1: 67.0100 accuracy/top5: 87.1320 03/13 10:25:33 - mmengine - INFO - Epoch(train) [581][ 100/1252] lr: 2.2851e-05 eta: 2:15:00 time: 0.3105 data_time: 0.0052 loss: 1.7832 03/13 10:26:05 - mmengine - INFO - Epoch(train) [581][ 200/1252] lr: 2.2851e-05 eta: 2:14:27 time: 0.2801 data_time: 0.0266 loss: 1.7506 03/13 10:26:38 - mmengine - INFO - Epoch(train) [581][ 300/1252] lr: 2.2851e-05 eta: 2:13:55 time: 0.3128 data_time: 0.0054 loss: 1.7871 03/13 10:27:10 - mmengine - INFO - Epoch(train) [581][ 400/1252] lr: 2.2851e-05 eta: 2:13:22 time: 0.3372 data_time: 0.0049 loss: 1.7033 03/13 10:27:42 - mmengine - INFO - Epoch(train) [581][ 500/1252] lr: 2.2851e-05 eta: 2:12:49 time: 0.3037 data_time: 0.0056 loss: 1.7488 03/13 10:28:14 - mmengine - INFO - Epoch(train) [581][ 600/1252] lr: 2.2851e-05 eta: 2:12:17 time: 0.3266 data_time: 0.0050 loss: 1.7912 03/13 10:28:47 - mmengine - INFO - Epoch(train) [581][ 700/1252] lr: 2.2851e-05 eta: 2:11:44 time: 0.3595 data_time: 0.0107 loss: 1.6954 03/13 10:29:19 - mmengine - INFO - Epoch(train) [581][ 800/1252] lr: 2.2851e-05 eta: 2:11:12 time: 0.2911 data_time: 0.0053 loss: 1.7957 03/13 10:29:32 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:29:52 - mmengine - INFO - Epoch(train) [581][ 900/1252] lr: 2.2851e-05 eta: 2:10:39 time: 0.3919 data_time: 0.0056 loss: 1.7163 03/13 10:30:23 - mmengine - INFO - Epoch(train) [581][1000/1252] lr: 2.2851e-05 eta: 2:10:07 time: 0.3279 data_time: 0.0207 loss: 1.6553 03/13 10:30:55 - mmengine - INFO - Epoch(train) [581][1100/1252] lr: 2.2851e-05 eta: 2:09:34 time: 0.3128 data_time: 0.1641 loss: 1.8277 03/13 10:31:28 - mmengine - INFO - Epoch(train) [581][1200/1252] lr: 2.2851e-05 eta: 2:09:02 time: 0.3312 data_time: 0.0101 loss: 1.6702 03/13 10:31:43 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:31:43 - mmengine - INFO - Saving checkpoint at 581 epochs 03/13 10:32:06 - mmengine - INFO - Epoch(val) [581][49/49] accuracy/top1: 67.0460 accuracy/top5: 87.1600 03/13 10:32:41 - mmengine - INFO - Epoch(train) [582][ 100/1252] lr: 2.2851e-05 eta: 2:08:12 time: 0.3085 data_time: 0.0049 loss: 1.7109 03/13 10:33:12 - mmengine - INFO - Epoch(train) [582][ 200/1252] lr: 2.2851e-05 eta: 2:07:40 time: 0.2758 data_time: 0.0062 loss: 1.7725 03/13 10:33:45 - mmengine - INFO - Epoch(train) [582][ 300/1252] lr: 2.2851e-05 eta: 2:07:07 time: 0.3665 data_time: 0.0054 loss: 1.8708 03/13 10:34:17 - mmengine - INFO - Epoch(train) [582][ 400/1252] lr: 2.2851e-05 eta: 2:06:35 time: 0.3879 data_time: 0.0454 loss: 1.6820 03/13 10:34:49 - mmengine - INFO - Epoch(train) [582][ 500/1252] lr: 2.2851e-05 eta: 2:06:02 time: 0.3146 data_time: 0.0054 loss: 1.6951 03/13 10:35:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:35:21 - mmengine - INFO - Epoch(train) [582][ 600/1252] lr: 2.2851e-05 eta: 2:05:30 time: 0.2981 data_time: 0.0057 loss: 1.7301 03/13 10:35:53 - mmengine - INFO - Epoch(train) [582][ 700/1252] lr: 2.2851e-05 eta: 2:04:57 time: 0.2724 data_time: 0.0054 loss: 1.8055 03/13 10:36:26 - mmengine - INFO - Epoch(train) [582][ 800/1252] lr: 2.2851e-05 eta: 2:04:25 time: 0.3109 data_time: 0.0049 loss: 1.7639 03/13 10:36:58 - mmengine - INFO - Epoch(train) [582][ 900/1252] lr: 2.2851e-05 eta: 2:03:52 time: 0.3399 data_time: 0.0049 loss: 1.7016 03/13 10:37:30 - mmengine - INFO - Epoch(train) [582][1000/1252] lr: 2.2851e-05 eta: 2:03:19 time: 0.2887 data_time: 0.0049 loss: 1.8190 03/13 10:38:03 - mmengine - INFO - Epoch(train) [582][1100/1252] lr: 2.2851e-05 eta: 2:02:47 time: 0.3210 data_time: 0.0049 loss: 1.6748 03/13 10:38:35 - mmengine - INFO - Epoch(train) [582][1200/1252] lr: 2.2851e-05 eta: 2:02:14 time: 0.2871 data_time: 0.0055 loss: 1.7692 03/13 10:38:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:38:51 - mmengine - INFO - Saving checkpoint at 582 epochs 03/13 10:39:14 - mmengine - INFO - Epoch(val) [582][49/49] accuracy/top1: 66.9280 accuracy/top5: 87.1200 03/13 10:39:49 - mmengine - INFO - Epoch(train) [583][ 100/1252] lr: 2.2234e-05 eta: 2:01:25 time: 0.3676 data_time: 0.0046 loss: 1.7291 03/13 10:40:21 - mmengine - INFO - Epoch(train) [583][ 200/1252] lr: 2.2234e-05 eta: 2:00:53 time: 0.3239 data_time: 0.0048 loss: 1.6372 03/13 10:40:53 - mmengine - INFO - Epoch(train) [583][ 300/1252] lr: 2.2234e-05 eta: 2:00:20 time: 0.3144 data_time: 0.0048 loss: 1.8543 03/13 10:41:05 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:41:25 - mmengine - INFO - Epoch(train) [583][ 400/1252] lr: 2.2234e-05 eta: 1:59:48 time: 0.3102 data_time: 0.0050 loss: 1.7786 03/13 10:41:58 - mmengine - INFO - Epoch(train) [583][ 500/1252] lr: 2.2234e-05 eta: 1:59:15 time: 0.3131 data_time: 0.0576 loss: 1.8535 03/13 10:42:31 - mmengine - INFO - Epoch(train) [583][ 600/1252] lr: 2.2234e-05 eta: 1:58:43 time: 0.3629 data_time: 0.0050 loss: 1.7765 03/13 10:43:03 - mmengine - INFO - Epoch(train) [583][ 700/1252] lr: 2.2234e-05 eta: 1:58:10 time: 0.3478 data_time: 0.0045 loss: 1.8389 03/13 10:43:35 - mmengine - INFO - Epoch(train) [583][ 800/1252] lr: 2.2234e-05 eta: 1:57:38 time: 0.2834 data_time: 0.0217 loss: 1.8655 03/13 10:44:07 - mmengine - INFO - Epoch(train) [583][ 900/1252] lr: 2.2234e-05 eta: 1:57:05 time: 0.2634 data_time: 0.0061 loss: 1.7232 03/13 10:44:40 - mmengine - INFO - Epoch(train) [583][1000/1252] lr: 2.2234e-05 eta: 1:56:33 time: 0.3113 data_time: 0.0051 loss: 1.6836 03/13 10:45:12 - mmengine - INFO - Epoch(train) [583][1100/1252] lr: 2.2234e-05 eta: 1:56:00 time: 0.3036 data_time: 0.0052 loss: 1.8195 03/13 10:45:44 - mmengine - INFO - Epoch(train) [583][1200/1252] lr: 2.2234e-05 eta: 1:55:27 time: 0.2728 data_time: 0.0053 loss: 1.7231 03/13 10:46:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:46:00 - mmengine - INFO - Saving checkpoint at 583 epochs 03/13 10:46:23 - mmengine - INFO - Epoch(val) [583][49/49] accuracy/top1: 67.0300 accuracy/top5: 87.1680 03/13 10:46:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:46:57 - mmengine - INFO - Epoch(train) [584][ 100/1252] lr: 2.2234e-05 eta: 1:54:38 time: 0.2762 data_time: 0.0057 loss: 1.8548 03/13 10:47:30 - mmengine - INFO - Epoch(train) [584][ 200/1252] lr: 2.2234e-05 eta: 1:54:06 time: 0.3595 data_time: 0.0063 loss: 1.7297 03/13 10:48:02 - mmengine - INFO - Epoch(train) [584][ 300/1252] lr: 2.2234e-05 eta: 1:53:33 time: 0.2675 data_time: 0.0403 loss: 1.7173 03/13 10:48:35 - mmengine - INFO - Epoch(train) [584][ 400/1252] lr: 2.2234e-05 eta: 1:53:01 time: 0.3189 data_time: 0.0049 loss: 1.8238 03/13 10:49:06 - mmengine - INFO - Epoch(train) [584][ 500/1252] lr: 2.2234e-05 eta: 1:52:28 time: 0.3167 data_time: 0.0471 loss: 1.6502 03/13 10:49:40 - mmengine - INFO - Epoch(train) [584][ 600/1252] lr: 2.2234e-05 eta: 1:51:56 time: 0.3271 data_time: 0.0044 loss: 1.6668 03/13 10:50:12 - mmengine - INFO - Epoch(train) [584][ 700/1252] lr: 2.2234e-05 eta: 1:51:23 time: 0.2857 data_time: 0.0046 loss: 1.6707 03/13 10:50:44 - mmengine - INFO - Epoch(train) [584][ 800/1252] lr: 2.2234e-05 eta: 1:50:51 time: 0.3367 data_time: 0.1153 loss: 1.7950 03/13 10:51:17 - mmengine - INFO - Epoch(train) [584][ 900/1252] lr: 2.2234e-05 eta: 1:50:18 time: 0.3508 data_time: 0.0052 loss: 1.7367 03/13 10:51:49 - mmengine - INFO - Epoch(train) [584][1000/1252] lr: 2.2234e-05 eta: 1:49:46 time: 0.3153 data_time: 0.0228 loss: 1.6883 03/13 10:52:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:52:21 - mmengine - INFO - Epoch(train) [584][1100/1252] lr: 2.2234e-05 eta: 1:49:13 time: 0.2874 data_time: 0.0053 loss: 1.7217 03/13 10:52:54 - mmengine - INFO - Epoch(train) [584][1200/1252] lr: 2.2234e-05 eta: 1:48:41 time: 0.3542 data_time: 0.0049 loss: 1.7907 03/13 10:53:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:53:10 - mmengine - INFO - Saving checkpoint at 584 epochs 03/13 10:53:33 - mmengine - INFO - Epoch(val) [584][49/49] accuracy/top1: 67.0360 accuracy/top5: 87.1400 03/13 10:54:07 - mmengine - INFO - Epoch(train) [585][ 100/1252] lr: 2.1634e-05 eta: 1:47:51 time: 0.2502 data_time: 0.0052 loss: 1.8310 03/13 10:54:40 - mmengine - INFO - Epoch(train) [585][ 200/1252] lr: 2.1634e-05 eta: 1:47:19 time: 0.3262 data_time: 0.0053 loss: 1.7600 03/13 10:55:13 - mmengine - INFO - Epoch(train) [585][ 300/1252] lr: 2.1634e-05 eta: 1:46:46 time: 0.3309 data_time: 0.0396 loss: 1.7423 03/13 10:55:44 - mmengine - INFO - Epoch(train) [585][ 400/1252] lr: 2.1634e-05 eta: 1:46:14 time: 0.3137 data_time: 0.0499 loss: 1.7596 03/13 10:56:17 - mmengine - INFO - Epoch(train) [585][ 500/1252] lr: 2.1634e-05 eta: 1:45:41 time: 0.3631 data_time: 0.1516 loss: 1.8366 03/13 10:56:49 - mmengine - INFO - Epoch(train) [585][ 600/1252] lr: 2.1634e-05 eta: 1:45:09 time: 0.3011 data_time: 0.0052 loss: 1.7518 03/13 10:57:21 - mmengine - INFO - Epoch(train) [585][ 700/1252] lr: 2.1634e-05 eta: 1:44:36 time: 0.3250 data_time: 0.0688 loss: 1.7939 03/13 10:57:54 - mmengine - INFO - Epoch(train) [585][ 800/1252] lr: 2.1634e-05 eta: 1:44:04 time: 0.3541 data_time: 0.0052 loss: 1.7133 03/13 10:58:04 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 10:58:27 - mmengine - INFO - Epoch(train) [585][ 900/1252] lr: 2.1634e-05 eta: 1:43:31 time: 0.3042 data_time: 0.0048 loss: 1.7240 03/13 10:58:59 - mmengine - INFO - Epoch(train) [585][1000/1252] lr: 2.1634e-05 eta: 1:42:59 time: 0.3277 data_time: 0.0542 loss: 1.7472 03/13 10:59:31 - mmengine - INFO - Epoch(train) [585][1100/1252] lr: 2.1634e-05 eta: 1:42:26 time: 0.3403 data_time: 0.0052 loss: 1.7922 03/13 11:00:03 - mmengine - INFO - Epoch(train) [585][1200/1252] lr: 2.1634e-05 eta: 1:41:54 time: 0.3367 data_time: 0.0174 loss: 1.8445 03/13 11:00:19 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:00:19 - mmengine - INFO - Saving checkpoint at 585 epochs 03/13 11:00:42 - mmengine - INFO - Epoch(val) [585][49/49] accuracy/top1: 67.0300 accuracy/top5: 87.1360 03/13 11:01:16 - mmengine - INFO - Epoch(train) [586][ 100/1252] lr: 2.1634e-05 eta: 1:41:04 time: 0.2986 data_time: 0.0053 loss: 1.7540 03/13 11:01:49 - mmengine - INFO - Epoch(train) [586][ 200/1252] lr: 2.1634e-05 eta: 1:40:32 time: 0.3578 data_time: 0.0055 loss: 1.7639 03/13 11:02:22 - mmengine - INFO - Epoch(train) [586][ 300/1252] lr: 2.1634e-05 eta: 1:40:00 time: 0.3267 data_time: 0.0048 loss: 1.7512 03/13 11:02:53 - mmengine - INFO - Epoch(train) [586][ 400/1252] lr: 2.1634e-05 eta: 1:39:27 time: 0.3041 data_time: 0.0056 loss: 1.6739 03/13 11:03:26 - mmengine - INFO - Epoch(train) [586][ 500/1252] lr: 2.1634e-05 eta: 1:38:54 time: 0.3536 data_time: 0.1326 loss: 1.7297 03/13 11:03:51 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:03:58 - mmengine - INFO - Epoch(train) [586][ 600/1252] lr: 2.1634e-05 eta: 1:38:22 time: 0.3068 data_time: 0.0561 loss: 1.7335 03/13 11:04:31 - mmengine - INFO - Epoch(train) [586][ 700/1252] lr: 2.1634e-05 eta: 1:37:49 time: 0.3396 data_time: 0.0275 loss: 1.7560 03/13 11:05:03 - mmengine - INFO - Epoch(train) [586][ 800/1252] lr: 2.1634e-05 eta: 1:37:17 time: 0.2762 data_time: 0.0057 loss: 1.6585 03/13 11:05:36 - mmengine - INFO - Epoch(train) [586][ 900/1252] lr: 2.1634e-05 eta: 1:36:44 time: 0.3201 data_time: 0.0057 loss: 1.6319 03/13 11:06:08 - mmengine - INFO - Epoch(train) [586][1000/1252] lr: 2.1634e-05 eta: 1:36:12 time: 0.3227 data_time: 0.0052 loss: 1.7825 03/13 11:06:40 - mmengine - INFO - Epoch(train) [586][1100/1252] lr: 2.1634e-05 eta: 1:35:39 time: 0.3026 data_time: 0.0052 loss: 1.6417 03/13 11:07:12 - mmengine - INFO - Epoch(train) [586][1200/1252] lr: 2.1634e-05 eta: 1:35:07 time: 0.2791 data_time: 0.0149 loss: 1.7805 03/13 11:07:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:07:28 - mmengine - INFO - Saving checkpoint at 586 epochs 03/13 11:07:52 - mmengine - INFO - Epoch(val) [586][49/49] accuracy/top1: 67.0660 accuracy/top5: 87.1560 03/13 11:08:26 - mmengine - INFO - Epoch(train) [587][ 100/1252] lr: 2.1050e-05 eta: 1:34:18 time: 0.3004 data_time: 0.0052 loss: 1.7041 03/13 11:08:59 - mmengine - INFO - Epoch(train) [587][ 200/1252] lr: 2.1050e-05 eta: 1:33:45 time: 0.3861 data_time: 0.0177 loss: 1.7353 03/13 11:09:32 - mmengine - INFO - Epoch(train) [587][ 300/1252] lr: 2.1050e-05 eta: 1:33:13 time: 0.3185 data_time: 0.0053 loss: 1.7834 03/13 11:09:41 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:10:04 - mmengine - INFO - Epoch(train) [587][ 400/1252] lr: 2.1050e-05 eta: 1:32:40 time: 0.3389 data_time: 0.0045 loss: 1.7516 03/13 11:10:37 - mmengine - INFO - Epoch(train) [587][ 500/1252] lr: 2.1050e-05 eta: 1:32:08 time: 0.3699 data_time: 0.0050 loss: 1.6853 03/13 11:11:09 - mmengine - INFO - Epoch(train) [587][ 600/1252] lr: 2.1050e-05 eta: 1:31:35 time: 0.3380 data_time: 0.2208 loss: 1.6910 03/13 11:11:41 - mmengine - INFO - Epoch(train) [587][ 700/1252] lr: 2.1050e-05 eta: 1:31:03 time: 0.3201 data_time: 0.0048 loss: 1.7441 03/13 11:12:13 - mmengine - INFO - Epoch(train) [587][ 800/1252] lr: 2.1050e-05 eta: 1:30:30 time: 0.3680 data_time: 0.0054 loss: 1.8761 03/13 11:12:45 - mmengine - INFO - Epoch(train) [587][ 900/1252] lr: 2.1050e-05 eta: 1:29:58 time: 0.3268 data_time: 0.0055 loss: 1.7343 03/13 11:13:17 - mmengine - INFO - Epoch(train) [587][1000/1252] lr: 2.1050e-05 eta: 1:29:25 time: 0.2782 data_time: 0.0057 loss: 1.8458 03/13 11:13:50 - mmengine - INFO - Epoch(train) [587][1100/1252] lr: 2.1050e-05 eta: 1:28:53 time: 0.3310 data_time: 0.0801 loss: 1.7300 03/13 11:14:23 - mmengine - INFO - Epoch(train) [587][1200/1252] lr: 2.1050e-05 eta: 1:28:20 time: 0.3032 data_time: 0.0051 loss: 1.7385 03/13 11:14:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:14:39 - mmengine - INFO - Saving checkpoint at 587 epochs 03/13 11:15:01 - mmengine - INFO - Epoch(val) [587][49/49] accuracy/top1: 66.9980 accuracy/top5: 87.1620 03/13 11:15:28 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:15:36 - mmengine - INFO - Epoch(train) [588][ 100/1252] lr: 2.1050e-05 eta: 1:27:31 time: 0.3101 data_time: 0.0053 loss: 1.6884 03/13 11:16:09 - mmengine - INFO - Epoch(train) [588][ 200/1252] lr: 2.1050e-05 eta: 1:26:58 time: 0.3571 data_time: 0.0056 loss: 1.7367 03/13 11:16:41 - mmengine - INFO - Epoch(train) [588][ 300/1252] lr: 2.1050e-05 eta: 1:26:26 time: 0.3611 data_time: 0.0327 loss: 1.8593 03/13 11:17:14 - mmengine - INFO - Epoch(train) [588][ 400/1252] lr: 2.1050e-05 eta: 1:25:53 time: 0.3231 data_time: 0.0048 loss: 1.7072 03/13 11:17:45 - mmengine - INFO - Epoch(train) [588][ 500/1252] lr: 2.1050e-05 eta: 1:25:21 time: 0.3326 data_time: 0.0056 loss: 1.7500 03/13 11:18:18 - mmengine - INFO - Epoch(train) [588][ 600/1252] lr: 2.1050e-05 eta: 1:24:48 time: 0.2694 data_time: 0.0383 loss: 1.7719 03/13 11:18:50 - mmengine - INFO - Epoch(train) [588][ 700/1252] lr: 2.1050e-05 eta: 1:24:16 time: 0.2994 data_time: 0.0050 loss: 1.7856 03/13 11:19:23 - mmengine - INFO - Epoch(train) [588][ 800/1252] lr: 2.1050e-05 eta: 1:23:43 time: 0.2772 data_time: 0.0053 loss: 1.7090 03/13 11:19:55 - mmengine - INFO - Epoch(train) [588][ 900/1252] lr: 2.1050e-05 eta: 1:23:11 time: 0.3192 data_time: 0.0047 loss: 1.7682 03/13 11:20:27 - mmengine - INFO - Epoch(train) [588][1000/1252] lr: 2.1050e-05 eta: 1:22:38 time: 0.2940 data_time: 0.0053 loss: 1.7157 03/13 11:20:52 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:21:00 - mmengine - INFO - Epoch(train) [588][1100/1252] lr: 2.1050e-05 eta: 1:22:06 time: 0.3103 data_time: 0.0097 loss: 1.7328 03/13 11:21:32 - mmengine - INFO - Epoch(train) [588][1200/1252] lr: 2.1050e-05 eta: 1:21:33 time: 0.3573 data_time: 0.0206 loss: 1.6373 03/13 11:21:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:21:48 - mmengine - INFO - Saving checkpoint at 588 epochs 03/13 11:22:10 - mmengine - INFO - Epoch(val) [588][49/49] accuracy/top1: 67.1120 accuracy/top5: 87.1220 03/13 11:22:45 - mmengine - INFO - Epoch(train) [589][ 100/1252] lr: 2.0481e-05 eta: 1:20:44 time: 0.2791 data_time: 0.0299 loss: 1.7731 03/13 11:23:17 - mmengine - INFO - Epoch(train) [589][ 200/1252] lr: 2.0481e-05 eta: 1:20:12 time: 0.2909 data_time: 0.0458 loss: 1.6303 03/13 11:23:50 - mmengine - INFO - Epoch(train) [589][ 300/1252] lr: 2.0481e-05 eta: 1:19:39 time: 0.3070 data_time: 0.0062 loss: 1.7113 03/13 11:24:22 - mmengine - INFO - Epoch(train) [589][ 400/1252] lr: 2.0481e-05 eta: 1:19:07 time: 0.2936 data_time: 0.0051 loss: 1.7071 03/13 11:24:54 - mmengine - INFO - Epoch(train) [589][ 500/1252] lr: 2.0481e-05 eta: 1:18:34 time: 0.2958 data_time: 0.0060 loss: 1.8002 03/13 11:25:26 - mmengine - INFO - Epoch(train) [589][ 600/1252] lr: 2.0481e-05 eta: 1:18:02 time: 0.2739 data_time: 0.0155 loss: 1.7707 03/13 11:25:59 - mmengine - INFO - Epoch(train) [589][ 700/1252] lr: 2.0481e-05 eta: 1:17:29 time: 0.3361 data_time: 0.0046 loss: 1.7890 03/13 11:26:31 - mmengine - INFO - Epoch(train) [589][ 800/1252] lr: 2.0481e-05 eta: 1:16:57 time: 0.3132 data_time: 0.0457 loss: 1.6704 03/13 11:26:39 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:27:04 - mmengine - INFO - Epoch(train) [589][ 900/1252] lr: 2.0481e-05 eta: 1:16:24 time: 0.2906 data_time: 0.0052 loss: 1.7564 03/13 11:27:36 - mmengine - INFO - Epoch(train) [589][1000/1252] lr: 2.0481e-05 eta: 1:15:52 time: 0.3198 data_time: 0.0051 loss: 1.7462 03/13 11:28:08 - mmengine - INFO - Epoch(train) [589][1100/1252] lr: 2.0481e-05 eta: 1:15:19 time: 0.3255 data_time: 0.0057 loss: 1.7808 03/13 11:28:41 - mmengine - INFO - Epoch(train) [589][1200/1252] lr: 2.0481e-05 eta: 1:14:47 time: 0.3591 data_time: 0.0049 loss: 1.7193 03/13 11:28:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:28:57 - mmengine - INFO - Saving checkpoint at 589 epochs 03/13 11:29:20 - mmengine - INFO - Epoch(val) [589][49/49] accuracy/top1: 67.0340 accuracy/top5: 87.1420 03/13 11:29:55 - mmengine - INFO - Epoch(train) [590][ 100/1252] lr: 2.0481e-05 eta: 1:13:57 time: 0.2794 data_time: 0.1235 loss: 1.7336 03/13 11:30:28 - mmengine - INFO - Epoch(train) [590][ 200/1252] lr: 2.0481e-05 eta: 1:13:25 time: 0.3463 data_time: 0.1434 loss: 1.7594 03/13 11:31:00 - mmengine - INFO - Epoch(train) [590][ 300/1252] lr: 2.0481e-05 eta: 1:12:53 time: 0.3430 data_time: 0.0058 loss: 1.7337 03/13 11:31:33 - mmengine - INFO - Epoch(train) [590][ 400/1252] lr: 2.0481e-05 eta: 1:12:20 time: 0.3253 data_time: 0.0585 loss: 1.7789 03/13 11:32:06 - mmengine - INFO - Epoch(train) [590][ 500/1252] lr: 2.0481e-05 eta: 1:11:48 time: 0.2627 data_time: 0.0359 loss: 1.6707 03/13 11:32:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:32:39 - mmengine - INFO - Epoch(train) [590][ 600/1252] lr: 2.0481e-05 eta: 1:11:15 time: 0.3778 data_time: 0.2427 loss: 1.6773 03/13 11:33:12 - mmengine - INFO - Epoch(train) [590][ 700/1252] lr: 2.0481e-05 eta: 1:10:43 time: 0.3486 data_time: 0.0047 loss: 1.7176 03/13 11:33:47 - mmengine - INFO - Epoch(train) [590][ 800/1252] lr: 2.0481e-05 eta: 1:10:10 time: 0.3968 data_time: 0.0050 loss: 1.6186 03/13 11:34:20 - mmengine - INFO - Epoch(train) [590][ 900/1252] lr: 2.0481e-05 eta: 1:09:38 time: 0.3299 data_time: 0.0051 loss: 1.6638 03/13 11:34:52 - mmengine - INFO - Epoch(train) [590][1000/1252] lr: 2.0481e-05 eta: 1:09:06 time: 0.2584 data_time: 0.0052 loss: 1.7850 03/13 11:35:26 - mmengine - INFO - Epoch(train) [590][1100/1252] lr: 2.0481e-05 eta: 1:08:33 time: 0.3893 data_time: 0.0049 loss: 1.7120 03/13 11:35:58 - mmengine - INFO - Epoch(train) [590][1200/1252] lr: 2.0481e-05 eta: 1:08:01 time: 0.3114 data_time: 0.0052 loss: 1.7099 03/13 11:36:14 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:36:14 - mmengine - INFO - Saving checkpoint at 590 epochs 03/13 11:36:37 - mmengine - INFO - Epoch(val) [590][49/49] accuracy/top1: 67.0180 accuracy/top5: 87.1700 03/13 11:37:13 - mmengine - INFO - Epoch(train) [591][ 100/1252] lr: 1.9928e-05 eta: 1:07:11 time: 0.3169 data_time: 0.0048 loss: 1.8169 03/13 11:37:46 - mmengine - INFO - Epoch(train) [591][ 200/1252] lr: 1.9928e-05 eta: 1:06:39 time: 0.2836 data_time: 0.0048 loss: 1.7619 03/13 11:38:18 - mmengine - INFO - Epoch(train) [591][ 300/1252] lr: 1.9928e-05 eta: 1:06:06 time: 0.2888 data_time: 0.0064 loss: 1.8739 03/13 11:38:25 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:38:52 - mmengine - INFO - Epoch(train) [591][ 400/1252] lr: 1.9928e-05 eta: 1:05:34 time: 0.3712 data_time: 0.0043 loss: 1.7084 03/13 11:39:25 - mmengine - INFO - Epoch(train) [591][ 500/1252] lr: 1.9928e-05 eta: 1:05:02 time: 0.3498 data_time: 0.0046 loss: 1.7887 03/13 11:39:58 - mmengine - INFO - Epoch(train) [591][ 600/1252] lr: 1.9928e-05 eta: 1:04:29 time: 0.3819 data_time: 0.0059 loss: 1.6741 03/13 11:40:31 - mmengine - INFO - Epoch(train) [591][ 700/1252] lr: 1.9928e-05 eta: 1:03:57 time: 0.3121 data_time: 0.0047 loss: 1.7979 03/13 11:41:04 - mmengine - INFO - Epoch(train) [591][ 800/1252] lr: 1.9928e-05 eta: 1:03:24 time: 0.3188 data_time: 0.0055 loss: 1.7165 03/13 11:41:38 - mmengine - INFO - Epoch(train) [591][ 900/1252] lr: 1.9928e-05 eta: 1:02:52 time: 0.3932 data_time: 0.0049 loss: 1.7480 03/13 11:42:12 - mmengine - INFO - Epoch(train) [591][1000/1252] lr: 1.9928e-05 eta: 1:02:19 time: 0.3253 data_time: 0.0049 loss: 1.8595 03/13 11:42:45 - mmengine - INFO - Epoch(train) [591][1100/1252] lr: 1.9928e-05 eta: 1:01:47 time: 0.3601 data_time: 0.0046 loss: 1.6556 03/13 11:43:17 - mmengine - INFO - Epoch(train) [591][1200/1252] lr: 1.9928e-05 eta: 1:01:15 time: 0.2904 data_time: 0.0052 loss: 1.7816 03/13 11:43:33 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:43:34 - mmengine - INFO - Saving checkpoint at 591 epochs 03/13 11:43:56 - mmengine - INFO - Epoch(val) [591][49/49] accuracy/top1: 67.1080 accuracy/top5: 87.2180 03/13 11:44:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:44:31 - mmengine - INFO - Epoch(train) [592][ 100/1252] lr: 1.9928e-05 eta: 1:00:25 time: 0.3210 data_time: 0.0060 loss: 1.6919 03/13 11:45:03 - mmengine - INFO - Epoch(train) [592][ 200/1252] lr: 1.9928e-05 eta: 0:59:53 time: 0.3324 data_time: 0.0055 loss: 1.6405 03/13 11:45:35 - mmengine - INFO - Epoch(train) [592][ 300/1252] lr: 1.9928e-05 eta: 0:59:20 time: 0.3354 data_time: 0.0055 loss: 1.7391 03/13 11:46:08 - mmengine - INFO - Epoch(train) [592][ 400/1252] lr: 1.9928e-05 eta: 0:58:48 time: 0.3556 data_time: 0.0048 loss: 1.7728 03/13 11:46:40 - mmengine - INFO - Epoch(train) [592][ 500/1252] lr: 1.9928e-05 eta: 0:58:15 time: 0.3652 data_time: 0.0050 loss: 1.7102 03/13 11:47:12 - mmengine - INFO - Epoch(train) [592][ 600/1252] lr: 1.9928e-05 eta: 0:57:43 time: 0.3126 data_time: 0.0449 loss: 1.7985 03/13 11:47:44 - mmengine - INFO - Epoch(train) [592][ 700/1252] lr: 1.9928e-05 eta: 0:57:10 time: 0.2810 data_time: 0.0054 loss: 1.6174 03/13 11:48:17 - mmengine - INFO - Epoch(train) [592][ 800/1252] lr: 1.9928e-05 eta: 0:56:38 time: 0.3092 data_time: 0.0057 loss: 1.6981 03/13 11:48:49 - mmengine - INFO - Epoch(train) [592][ 900/1252] lr: 1.9928e-05 eta: 0:56:05 time: 0.3056 data_time: 0.1834 loss: 1.7305 03/13 11:49:21 - mmengine - INFO - Epoch(train) [592][1000/1252] lr: 1.9928e-05 eta: 0:55:33 time: 0.3148 data_time: 0.0050 loss: 1.7494 03/13 11:49:44 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:49:54 - mmengine - INFO - Epoch(train) [592][1100/1252] lr: 1.9928e-05 eta: 0:55:00 time: 0.3498 data_time: 0.0050 loss: 1.6702 03/13 11:50:26 - mmengine - INFO - Epoch(train) [592][1200/1252] lr: 1.9928e-05 eta: 0:54:28 time: 0.3141 data_time: 0.0052 loss: 1.7441 03/13 11:50:42 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:50:42 - mmengine - INFO - Saving checkpoint at 592 epochs 03/13 11:51:04 - mmengine - INFO - Epoch(val) [592][49/49] accuracy/top1: 67.1380 accuracy/top5: 87.1060 03/13 11:51:39 - mmengine - INFO - Epoch(train) [593][ 100/1252] lr: 1.9390e-05 eta: 0:53:39 time: 0.2863 data_time: 0.0051 loss: 1.8462 03/13 11:52:12 - mmengine - INFO - Epoch(train) [593][ 200/1252] lr: 1.9390e-05 eta: 0:53:06 time: 0.2814 data_time: 0.0046 loss: 1.8714 03/13 11:52:45 - mmengine - INFO - Epoch(train) [593][ 300/1252] lr: 1.9390e-05 eta: 0:52:34 time: 0.3232 data_time: 0.0051 loss: 1.8031 03/13 11:53:18 - mmengine - INFO - Epoch(train) [593][ 400/1252] lr: 1.9390e-05 eta: 0:52:01 time: 0.3322 data_time: 0.0052 loss: 1.7318 03/13 11:53:52 - mmengine - INFO - Epoch(train) [593][ 500/1252] lr: 1.9390e-05 eta: 0:51:29 time: 0.3492 data_time: 0.0044 loss: 1.7228 03/13 11:54:26 - mmengine - INFO - Epoch(train) [593][ 600/1252] lr: 1.9390e-05 eta: 0:50:56 time: 0.3229 data_time: 0.0466 loss: 1.8406 03/13 11:54:59 - mmengine - INFO - Epoch(train) [593][ 700/1252] lr: 1.9390e-05 eta: 0:50:24 time: 0.3283 data_time: 0.0050 loss: 1.6508 03/13 11:55:32 - mmengine - INFO - Epoch(train) [593][ 800/1252] lr: 1.9390e-05 eta: 0:49:51 time: 0.3012 data_time: 0.0051 loss: 1.7956 03/13 11:55:37 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:56:05 - mmengine - INFO - Epoch(train) [593][ 900/1252] lr: 1.9390e-05 eta: 0:49:19 time: 0.2868 data_time: 0.0051 loss: 1.7641 03/13 11:56:38 - mmengine - INFO - Epoch(train) [593][1000/1252] lr: 1.9390e-05 eta: 0:48:47 time: 0.3536 data_time: 0.0051 loss: 1.8293 03/13 11:57:10 - mmengine - INFO - Epoch(train) [593][1100/1252] lr: 1.9390e-05 eta: 0:48:14 time: 0.2983 data_time: 0.0382 loss: 1.7894 03/13 11:57:44 - mmengine - INFO - Epoch(train) [593][1200/1252] lr: 1.9390e-05 eta: 0:47:42 time: 0.3559 data_time: 0.0043 loss: 1.7905 03/13 11:58:00 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 11:58:00 - mmengine - INFO - Saving checkpoint at 593 epochs 03/13 11:58:23 - mmengine - INFO - Epoch(val) [593][49/49] accuracy/top1: 67.1220 accuracy/top5: 87.1640 03/13 11:58:57 - mmengine - INFO - Epoch(train) [594][ 100/1252] lr: 1.9390e-05 eta: 0:46:52 time: 0.2945 data_time: 0.1757 loss: 1.7812 03/13 11:59:30 - mmengine - INFO - Epoch(train) [594][ 200/1252] lr: 1.9390e-05 eta: 0:46:20 time: 0.2978 data_time: 0.0048 loss: 1.7306 03/13 12:00:03 - mmengine - INFO - Epoch(train) [594][ 300/1252] lr: 1.9390e-05 eta: 0:45:47 time: 0.3401 data_time: 0.0045 loss: 1.8111 03/13 12:00:35 - mmengine - INFO - Epoch(train) [594][ 400/1252] lr: 1.9390e-05 eta: 0:45:15 time: 0.2915 data_time: 0.1708 loss: 1.8159 03/13 12:01:07 - mmengine - INFO - Epoch(train) [594][ 500/1252] lr: 1.9390e-05 eta: 0:44:42 time: 0.3047 data_time: 0.0054 loss: 1.8501 03/13 12:01:29 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:01:40 - mmengine - INFO - Epoch(train) [594][ 600/1252] lr: 1.9390e-05 eta: 0:44:10 time: 0.2949 data_time: 0.0056 loss: 1.8184 03/13 12:02:12 - mmengine - INFO - Epoch(train) [594][ 700/1252] lr: 1.9390e-05 eta: 0:43:37 time: 0.3396 data_time: 0.0055 loss: 1.7440 03/13 12:02:45 - mmengine - INFO - Epoch(train) [594][ 800/1252] lr: 1.9390e-05 eta: 0:43:05 time: 0.3520 data_time: 0.0053 loss: 1.6413 03/13 12:03:18 - mmengine - INFO - Epoch(train) [594][ 900/1252] lr: 1.9390e-05 eta: 0:42:33 time: 0.3339 data_time: 0.1440 loss: 1.6721 03/13 12:03:50 - mmengine - INFO - Epoch(train) [594][1000/1252] lr: 1.9390e-05 eta: 0:42:00 time: 0.3687 data_time: 0.0050 loss: 1.8370 03/13 12:04:22 - mmengine - INFO - Epoch(train) [594][1100/1252] lr: 1.9390e-05 eta: 0:41:28 time: 0.3024 data_time: 0.0212 loss: 1.6692 03/13 12:04:54 - mmengine - INFO - Epoch(train) [594][1200/1252] lr: 1.9390e-05 eta: 0:40:55 time: 0.3221 data_time: 0.0051 loss: 1.7705 03/13 12:05:10 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:05:10 - mmengine - INFO - Saving checkpoint at 594 epochs 03/13 12:05:33 - mmengine - INFO - Epoch(val) [594][49/49] accuracy/top1: 67.0640 accuracy/top5: 87.2020 03/13 12:06:09 - mmengine - INFO - Epoch(train) [595][ 100/1252] lr: 1.8867e-05 eta: 0:40:06 time: 0.3735 data_time: 0.0049 loss: 1.7773 03/13 12:06:42 - mmengine - INFO - Epoch(train) [595][ 200/1252] lr: 1.8867e-05 eta: 0:39:33 time: 0.3381 data_time: 0.0057 loss: 1.7729 03/13 12:07:15 - mmengine - INFO - Epoch(train) [595][ 300/1252] lr: 1.8867e-05 eta: 0:39:01 time: 0.3567 data_time: 0.0062 loss: 1.7030 03/13 12:07:18 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:07:48 - mmengine - INFO - Epoch(train) [595][ 400/1252] lr: 1.8867e-05 eta: 0:38:28 time: 0.3664 data_time: 0.0051 loss: 1.9066 03/13 12:08:21 - mmengine - INFO - Epoch(train) [595][ 500/1252] lr: 1.8867e-05 eta: 0:37:56 time: 0.3610 data_time: 0.0047 loss: 1.7814 03/13 12:08:54 - mmengine - INFO - Epoch(train) [595][ 600/1252] lr: 1.8867e-05 eta: 0:37:24 time: 0.3276 data_time: 0.0053 loss: 1.7166 03/13 12:09:27 - mmengine - INFO - Epoch(train) [595][ 700/1252] lr: 1.8867e-05 eta: 0:36:51 time: 0.3618 data_time: 0.0047 loss: 1.7114 03/13 12:10:00 - mmengine - INFO - Epoch(train) [595][ 800/1252] lr: 1.8867e-05 eta: 0:36:19 time: 0.3261 data_time: 0.0052 loss: 1.6836 03/13 12:10:34 - mmengine - INFO - Epoch(train) [595][ 900/1252] lr: 1.8867e-05 eta: 0:35:46 time: 0.3640 data_time: 0.0047 loss: 1.8048 03/13 12:11:06 - mmengine - INFO - Epoch(train) [595][1000/1252] lr: 1.8867e-05 eta: 0:35:14 time: 0.2997 data_time: 0.0051 loss: 1.7387 03/13 12:11:40 - mmengine - INFO - Epoch(train) [595][1100/1252] lr: 1.8867e-05 eta: 0:34:41 time: 0.3754 data_time: 0.0046 loss: 1.7223 03/13 12:12:13 - mmengine - INFO - Epoch(train) [595][1200/1252] lr: 1.8867e-05 eta: 0:34:09 time: 0.3657 data_time: 0.0045 loss: 1.8192 03/13 12:12:30 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:12:30 - mmengine - INFO - Saving checkpoint at 595 epochs 03/13 12:12:53 - mmengine - INFO - Epoch(val) [595][49/49] accuracy/top1: 67.0540 accuracy/top5: 87.1280 03/13 12:13:15 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:13:28 - mmengine - INFO - Epoch(train) [596][ 100/1252] lr: 1.8867e-05 eta: 0:33:19 time: 0.3645 data_time: 0.0357 loss: 1.7490 03/13 12:14:01 - mmengine - INFO - Epoch(train) [596][ 200/1252] lr: 1.8867e-05 eta: 0:32:47 time: 0.2709 data_time: 0.0048 loss: 1.6348 03/13 12:14:34 - mmengine - INFO - Epoch(train) [596][ 300/1252] lr: 1.8867e-05 eta: 0:32:15 time: 0.2804 data_time: 0.0045 loss: 1.7730 03/13 12:15:06 - mmengine - INFO - Epoch(train) [596][ 400/1252] lr: 1.8867e-05 eta: 0:31:42 time: 0.3361 data_time: 0.0045 loss: 1.7758 03/13 12:15:40 - mmengine - INFO - Epoch(train) [596][ 500/1252] lr: 1.8867e-05 eta: 0:31:10 time: 0.3241 data_time: 0.0056 loss: 1.7397 03/13 12:16:12 - mmengine - INFO - Epoch(train) [596][ 600/1252] lr: 1.8867e-05 eta: 0:30:37 time: 0.3208 data_time: 0.0515 loss: 1.8054 03/13 12:16:46 - mmengine - INFO - Epoch(train) [596][ 700/1252] lr: 1.8867e-05 eta: 0:30:05 time: 0.3949 data_time: 0.0044 loss: 1.6647 03/13 12:17:18 - mmengine - INFO - Epoch(train) [596][ 800/1252] lr: 1.8867e-05 eta: 0:29:32 time: 0.2940 data_time: 0.0050 loss: 1.8111 03/13 12:17:52 - mmengine - INFO - Epoch(train) [596][ 900/1252] lr: 1.8867e-05 eta: 0:29:00 time: 0.3349 data_time: 0.0052 loss: 1.7046 03/13 12:18:25 - mmengine - INFO - Epoch(train) [596][1000/1252] lr: 1.8867e-05 eta: 0:28:27 time: 0.2719 data_time: 0.0117 loss: 1.6833 03/13 12:18:45 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:18:58 - mmengine - INFO - Epoch(train) [596][1100/1252] lr: 1.8867e-05 eta: 0:27:55 time: 0.3010 data_time: 0.0047 loss: 1.7934 03/13 12:19:32 - mmengine - INFO - Epoch(train) [596][1200/1252] lr: 1.8867e-05 eta: 0:27:22 time: 0.3614 data_time: 0.0044 loss: 1.8656 03/13 12:19:48 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:19:48 - mmengine - INFO - Saving checkpoint at 596 epochs 03/13 12:20:11 - mmengine - INFO - Epoch(val) [596][49/49] accuracy/top1: 67.0940 accuracy/top5: 87.1800 03/13 12:20:46 - mmengine - INFO - Epoch(train) [597][ 100/1252] lr: 1.8357e-05 eta: 0:26:33 time: 0.3735 data_time: 0.0559 loss: 1.6658 03/13 12:21:18 - mmengine - INFO - Epoch(train) [597][ 200/1252] lr: 1.8357e-05 eta: 0:26:01 time: 0.3359 data_time: 0.0052 loss: 1.7973 03/13 12:21:51 - mmengine - INFO - Epoch(train) [597][ 300/1252] lr: 1.8357e-05 eta: 0:25:28 time: 0.3432 data_time: 0.0052 loss: 1.8388 03/13 12:22:24 - mmengine - INFO - Epoch(train) [597][ 400/1252] lr: 1.8357e-05 eta: 0:24:56 time: 0.4145 data_time: 0.0231 loss: 1.7818 03/13 12:22:56 - mmengine - INFO - Epoch(train) [597][ 500/1252] lr: 1.8357e-05 eta: 0:24:23 time: 0.3579 data_time: 0.0055 loss: 1.7884 03/13 12:23:28 - mmengine - INFO - Epoch(train) [597][ 600/1252] lr: 1.8357e-05 eta: 0:23:51 time: 0.2983 data_time: 0.0053 loss: 1.8283 03/13 12:24:01 - mmengine - INFO - Epoch(train) [597][ 700/1252] lr: 1.8357e-05 eta: 0:23:18 time: 0.3205 data_time: 0.0048 loss: 1.7723 03/13 12:24:33 - mmengine - INFO - Epoch(train) [597][ 800/1252] lr: 1.8357e-05 eta: 0:22:46 time: 0.3800 data_time: 0.0060 loss: 1.8174 03/13 12:24:35 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:25:04 - mmengine - INFO - Epoch(train) [597][ 900/1252] lr: 1.8357e-05 eta: 0:22:13 time: 0.3041 data_time: 0.0059 loss: 1.7566 03/13 12:25:37 - mmengine - INFO - Epoch(train) [597][1000/1252] lr: 1.8357e-05 eta: 0:21:41 time: 0.3278 data_time: 0.0051 loss: 1.6957 03/13 12:26:09 - mmengine - INFO - Epoch(train) [597][1100/1252] lr: 1.8357e-05 eta: 0:21:08 time: 0.2879 data_time: 0.0056 loss: 1.7647 03/13 12:26:41 - mmengine - INFO - Epoch(train) [597][1200/1252] lr: 1.8357e-05 eta: 0:20:36 time: 0.3155 data_time: 0.0051 loss: 1.7368 03/13 12:26:57 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:26:57 - mmengine - INFO - Saving checkpoint at 597 epochs 03/13 12:27:21 - mmengine - INFO - Epoch(val) [597][49/49] accuracy/top1: 67.0440 accuracy/top5: 87.0860 03/13 12:27:56 - mmengine - INFO - Epoch(train) [598][ 100/1252] lr: 1.8357e-05 eta: 0:19:47 time: 0.3656 data_time: 0.0052 loss: 1.7801 03/13 12:28:28 - mmengine - INFO - Epoch(train) [598][ 200/1252] lr: 1.8357e-05 eta: 0:19:14 time: 0.2893 data_time: 0.0053 loss: 1.6493 03/13 12:29:00 - mmengine - INFO - Epoch(train) [598][ 300/1252] lr: 1.8357e-05 eta: 0:18:42 time: 0.2926 data_time: 0.0052 loss: 1.7179 03/13 12:29:32 - mmengine - INFO - Epoch(train) [598][ 400/1252] lr: 1.8357e-05 eta: 0:18:09 time: 0.2673 data_time: 0.0056 loss: 1.8610 03/13 12:30:04 - mmengine - INFO - Epoch(train) [598][ 500/1252] lr: 1.8357e-05 eta: 0:17:37 time: 0.3254 data_time: 0.0053 loss: 1.7602 03/13 12:30:22 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:30:37 - mmengine - INFO - Epoch(train) [598][ 600/1252] lr: 1.8357e-05 eta: 0:17:04 time: 0.2858 data_time: 0.0051 loss: 1.6964 03/13 12:31:09 - mmengine - INFO - Epoch(train) [598][ 700/1252] lr: 1.8357e-05 eta: 0:16:32 time: 0.2775 data_time: 0.0055 loss: 1.7917 03/13 12:31:41 - mmengine - INFO - Epoch(train) [598][ 800/1252] lr: 1.8357e-05 eta: 0:15:59 time: 0.2767 data_time: 0.0050 loss: 1.8207 03/13 12:32:13 - mmengine - INFO - Epoch(train) [598][ 900/1252] lr: 1.8357e-05 eta: 0:15:27 time: 0.3455 data_time: 0.0054 loss: 1.7990 03/13 12:32:45 - mmengine - INFO - Epoch(train) [598][1000/1252] lr: 1.8357e-05 eta: 0:14:54 time: 0.2765 data_time: 0.1532 loss: 1.7587 03/13 12:33:18 - mmengine - INFO - Epoch(train) [598][1100/1252] lr: 1.8357e-05 eta: 0:14:22 time: 0.3450 data_time: 0.0046 loss: 1.6879 03/13 12:33:51 - mmengine - INFO - Epoch(train) [598][1200/1252] lr: 1.8357e-05 eta: 0:13:49 time: 0.3722 data_time: 0.0717 loss: 1.7887 03/13 12:34:06 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:34:07 - mmengine - INFO - Saving checkpoint at 598 epochs 03/13 12:34:29 - mmengine - INFO - Epoch(val) [598][49/49] accuracy/top1: 67.0000 accuracy/top5: 87.1660 03/13 12:35:04 - mmengine - INFO - Epoch(train) [599][ 100/1252] lr: 1.7862e-05 eta: 0:13:00 time: 0.3289 data_time: 0.0054 loss: 1.7476 03/13 12:35:37 - mmengine - INFO - Epoch(train) [599][ 200/1252] lr: 1.7862e-05 eta: 0:12:28 time: 0.3273 data_time: 0.0050 loss: 1.6133 03/13 12:36:09 - mmengine - INFO - Epoch(train) [599][ 300/1252] lr: 1.7862e-05 eta: 0:11:55 time: 0.3156 data_time: 0.0051 loss: 1.7640 03/13 12:36:09 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:36:41 - mmengine - INFO - Epoch(train) [599][ 400/1252] lr: 1.7862e-05 eta: 0:11:23 time: 0.3158 data_time: 0.0054 loss: 1.7610 03/13 12:37:13 - mmengine - INFO - Epoch(train) [599][ 500/1252] lr: 1.7862e-05 eta: 0:10:50 time: 0.3268 data_time: 0.0051 loss: 1.7195 03/13 12:37:46 - mmengine - INFO - Epoch(train) [599][ 600/1252] lr: 1.7862e-05 eta: 0:10:18 time: 0.4130 data_time: 0.0051 loss: 1.7536 03/13 12:38:18 - mmengine - INFO - Epoch(train) [599][ 700/1252] lr: 1.7862e-05 eta: 0:09:45 time: 0.3708 data_time: 0.0049 loss: 1.8002 03/13 12:38:51 - mmengine - INFO - Epoch(train) [599][ 800/1252] lr: 1.7862e-05 eta: 0:09:13 time: 0.3614 data_time: 0.0052 loss: 1.7677 03/13 12:39:23 - mmengine - INFO - Epoch(train) [599][ 900/1252] lr: 1.7862e-05 eta: 0:08:40 time: 0.3283 data_time: 0.1375 loss: 1.7643 03/13 12:39:55 - mmengine - INFO - Epoch(train) [599][1000/1252] lr: 1.7862e-05 eta: 0:08:08 time: 0.3474 data_time: 0.0052 loss: 1.6147 03/13 12:40:28 - mmengine - INFO - Epoch(train) [599][1100/1252] lr: 1.7862e-05 eta: 0:07:35 time: 0.2912 data_time: 0.0052 loss: 1.7154 03/13 12:41:00 - mmengine - INFO - Epoch(train) [599][1200/1252] lr: 1.7862e-05 eta: 0:07:03 time: 0.3410 data_time: 0.1295 loss: 1.7631 03/13 12:41:16 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:41:16 - mmengine - INFO - Saving checkpoint at 599 epochs 03/13 12:41:39 - mmengine - INFO - Epoch(val) [599][49/49] accuracy/top1: 67.0720 accuracy/top5: 87.1620 03/13 12:41:58 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:42:13 - mmengine - INFO - Epoch(train) [600][ 100/1252] lr: 1.7862e-05 eta: 0:06:13 time: 0.2768 data_time: 0.0051 loss: 1.7990 03/13 12:42:45 - mmengine - INFO - Epoch(train) [600][ 200/1252] lr: 1.7862e-05 eta: 0:05:41 time: 0.3137 data_time: 0.0304 loss: 1.7821 03/13 12:43:18 - mmengine - INFO - Epoch(train) [600][ 300/1252] lr: 1.7862e-05 eta: 0:05:09 time: 0.2935 data_time: 0.0057 loss: 1.6834 03/13 12:43:50 - mmengine - INFO - Epoch(train) [600][ 400/1252] lr: 1.7862e-05 eta: 0:04:36 time: 0.2688 data_time: 0.1298 loss: 1.8110 03/13 12:44:22 - mmengine - INFO - Epoch(train) [600][ 500/1252] lr: 1.7862e-05 eta: 0:04:04 time: 0.3354 data_time: 0.0106 loss: 1.8557 03/13 12:44:54 - mmengine - INFO - Epoch(train) [600][ 600/1252] lr: 1.7862e-05 eta: 0:03:31 time: 0.3183 data_time: 0.0050 loss: 1.7684 03/13 12:45:27 - mmengine - INFO - Epoch(train) [600][ 700/1252] lr: 1.7862e-05 eta: 0:02:59 time: 0.3265 data_time: 0.0053 loss: 1.6893 03/13 12:45:59 - mmengine - INFO - Epoch(train) [600][ 800/1252] lr: 1.7862e-05 eta: 0:02:26 time: 0.3272 data_time: 0.0063 loss: 1.8020 03/13 12:46:31 - mmengine - INFO - Epoch(train) [600][ 900/1252] lr: 1.7862e-05 eta: 0:01:54 time: 0.3255 data_time: 0.0055 loss: 1.7463 03/13 12:47:03 - mmengine - INFO - Epoch(train) [600][1000/1252] lr: 1.7862e-05 eta: 0:01:21 time: 0.3004 data_time: 0.0925 loss: 1.6914 03/13 12:47:21 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:47:36 - mmengine - INFO - Epoch(train) [600][1100/1252] lr: 1.7862e-05 eta: 0:00:49 time: 0.2976 data_time: 0.0062 loss: 1.7070 03/13 12:48:08 - mmengine - INFO - Epoch(train) [600][1200/1252] lr: 1.7862e-05 eta: 0:00:16 time: 0.3158 data_time: 0.0260 loss: 1.7291 03/13 12:48:24 - mmengine - INFO - Exp name: mobilenet-v3-small_8xb128_in1k_20230312_145318 03/13 12:48:24 - mmengine - INFO - Saving checkpoint at 600 epochs 03/13 12:48:47 - mmengine - INFO - Epoch(val) [600][49/49] accuracy/top1: 67.0940 accuracy/top5: 87.1740