cifar_base.log

2023-02-02 22:44:25,121 - mmcls - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.8.13 | packaged by conda-forge | (default, Mar 25 2022, 06:04:10) [GCC 10.3.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.7, V11.7.99
GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
PyTorch: 1.13.0a0+340c412
PyTorch compiling details: PyTorch built with:
  - GCC 9.4
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.4 Product Build 20200917 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.6.0 (Git Hash N/A)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 11.7
  - NVCC architecture flags: -gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_86,code=compute_86
  - CuDNN 8.4.1  (built against CUDA 11.6)
  - Magma 2.6.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.4.1, CXX_COMPILER=/usr/bin/c++, CXX_FLAGS=-fno-gnu-unique -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

TorchVision: 0.13.0a0
OpenCV: 3.4.11
MMCV: 1.6.1
MMCV Compiler: GCC 9.4
MMCV CUDA Compiler: 11.7
MMClassification: 0.23.2_71ef7ba+24f49fc
------------------------------------------------------------

2023-02-02 22:44:25,121 - mmcls - INFO - Distributed training: True
2023-02-02 22:44:25,433 - mmcls - INFO - Config:
model = dict(
    type='ImageClassifierCIL',
    backbone=dict(type='ResNet12', with_avgpool=False, flatten=False),
    neck=dict(type='MLPFFNNeck', in_channels=640, out_channels=512),
    head=dict(
        type='ETFHead',
        num_classes=100,
        eval_classes=60,
        in_channels=512,
        loss=dict(type='DRLoss', loss_weight=10.0),
        topk=(1, 5),
        cal_acc=True,
        with_len=False),
    train_cfg=dict(augments=[
        dict(type='BatchMixupTwoLabel', alpha=0.8, num_classes=-1, prob=0.4),
        dict(type='BatchCutMixTwoLabel', alpha=1.0, num_classes=-1, prob=0.4),
        dict(type='IdentityTwoLabel', num_classes=-1, prob=0.2)
    ]))
img_size = 32
_img_resize_size = 36
img_norm_cfg = dict(
    mean=[129.304, 124.07, 112.434], std=[68.17, 65.392, 70.418], to_rgb=False)
meta_keys = ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'flip',
             'flip_direction', 'img_norm_cfg', 'cls_id', 'img_id')
train_pipeline = [
    dict(
        type='RandomResizedCrop',
        size=32,
        scale=(0.6, 1.0),
        interpolation='bicubic'),
    dict(type='RandomFlip', flip_prob=0.5, direction='horizontal'),
    dict(type='ColorJitter', brightness=0.4, contrast=0.4, saturation=0.4),
    dict(
        type='Normalize',
        mean=[129.304, 124.07, 112.434],
        std=[68.17, 65.392, 70.418],
        to_rgb=False),
    dict(type='ImageToTensor', keys=['img']),
    dict(type='ToTensor', keys=['gt_label']),
    dict(
        type='Collect',
        keys=['img', 'gt_label'],
        meta_keys=('filename', 'ori_filename', 'ori_shape', 'img_shape',
                   'flip', 'flip_direction', 'img_norm_cfg', 'cls_id',
                   'img_id'))
]
test_pipeline = [
    dict(type='Resize', size=(36, -1), interpolation='bicubic'),
    dict(type='CenterCrop', crop_size=32),
    dict(
        type='Normalize',
        mean=[129.304, 124.07, 112.434],
        std=[68.17, 65.392, 70.418],
        to_rgb=False),
    dict(type='ImageToTensor', keys=['img']),
    dict(
        type='Collect',
        keys=['img', 'gt_label'],
        meta_keys=('filename', 'ori_filename', 'ori_shape', 'img_shape',
                   'flip', 'flip_direction', 'img_norm_cfg', 'cls_id',
                   'img_id'))
]
data = dict(
    samples_per_gpu=64,
    workers_per_gpu=8,
    train_dataloader=dict(persistent_workers=True),
    val_dataloader=dict(persistent_workers=True),
    test_dataloader=dict(persistent_workers=True),
    train=dict(
        type='RepeatDataset',
        times=4,
        dataset=dict(
            type='CIFAR100FSCILDataset',
            data_prefix='/opt/data/cifar',
            pipeline=[
                dict(
                    type='RandomResizedCrop',
                    size=32,
                    scale=(0.6, 1.0),
                    interpolation='bicubic'),
                dict(type='RandomFlip', flip_prob=0.5, direction='horizontal'),
                dict(
                    type='ColorJitter',
                    brightness=0.4,
                    contrast=0.4,
                    saturation=0.4),
                dict(
                    type='Normalize',
                    mean=[129.304, 124.07, 112.434],
                    std=[68.17, 65.392, 70.418],
                    to_rgb=False),
                dict(type='ImageToTensor', keys=['img']),
                dict(type='ToTensor', keys=['gt_label']),
                dict(
                    type='Collect',
                    keys=['img', 'gt_label'],
                    meta_keys=('filename', 'ori_filename', 'ori_shape',
                               'img_shape', 'flip', 'flip_direction',
                               'img_norm_cfg', 'cls_id', 'img_id'))
            ],
            num_cls=60,
            subset='train')),
    val=dict(
        type='CIFAR100FSCILDataset',
        data_prefix='/opt/data/cifar',
        pipeline=[
            dict(type='Resize', size=(36, -1), interpolation='bicubic'),
            dict(type='CenterCrop', crop_size=32),
            dict(
                type='Normalize',
                mean=[129.304, 124.07, 112.434],
                std=[68.17, 65.392, 70.418],
                to_rgb=False),
            dict(type='ImageToTensor', keys=['img']),
            dict(
                type='Collect',
                keys=['img', 'gt_label'],
                meta_keys=('filename', 'ori_filename', 'ori_shape',
                           'img_shape', 'flip', 'flip_direction',
                           'img_norm_cfg', 'cls_id', 'img_id'))
        ],
        num_cls=60,
        subset='test'),
    test=dict(
        type='CIFAR100FSCILDataset',
        data_prefix='/opt/data/cifar',
        pipeline=[
            dict(type='Resize', size=(36, -1), interpolation='bicubic'),
            dict(type='CenterCrop', crop_size=32),
            dict(
                type='Normalize',
                mean=[129.304, 124.07, 112.434],
                std=[68.17, 65.392, 70.418],
                to_rgb=False),
            dict(type='ImageToTensor', keys=['img']),
            dict(
                type='Collect',
                keys=['img', 'gt_label'],
                meta_keys=('filename', 'ori_filename', 'ori_shape',
                           'img_shape', 'flip', 'flip_direction',
                           'img_norm_cfg', 'cls_id', 'img_id'))
        ],
        num_cls=100,
        subset='test'))
optimizer = dict(type='SGD', lr=0.25, momentum=0.9, weight_decay=0.0005)
optimizer_config = dict(grad_clip=None)
lr_config = dict(
    policy='CosineAnnealingCooldown',
    min_lr=None,
    min_lr_ratio=0.01,
    cool_down_ratio=0.1,
    cool_down_time=10,
    by_epoch=False,
    warmup='linear',
    warmup_iters=100,
    warmup_ratio=0.1,
    warmup_by_epoch=False)
runner = dict(type='EpochBasedRunner', max_epochs=50)
checkpoint_config = dict(interval=1, max_keep_ckpts=2)
evaluation = dict(interval=1, save_best='auto')
log_config = dict(interval=10, hooks=[dict(type='TextLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
workflow = [('train', 1)]
load_from = None
resume_from = None
mean_neck_feat = True
mean_cur_feat = False
feat_test = False
grad_clip = None
finetune_lr = 0.1
inc_start = 60
inc_end = 100
inc_step = 5
copy_list = (1, 1, 1, 1, 1, 1, 1, 1, 1, 1)
step_list = (50, 50, 50, 50, 50, 50, 50, 50, 50, 50)
work_dir = '/opt/logger/cifar_etf'
gpu_ids = range(0, 8)

2023-02-02 22:44:25,434 - mmcls - INFO - Set random seed to 0, deterministic: True
2023-02-02 22:44:25,553 - mmcls - INFO - ETF head : evaluating 60 out of 100 classes.
2023-02-02 22:44:25,554 - mmcls - INFO - ETF head : with_len : False
Name of parameter - Initialization information

backbone.layer1.0.conv1.weight - torch.Size([64, 3, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer1.0.norm1.weight - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.norm1.bias - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer1.0.norm2.weight - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.norm2.bias - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.conv3.weight - torch.Size([64, 64, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer1.0.norm3.weight - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.norm3.bias - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.downsample.0.weight - torch.Size([64, 3, 1, 1]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer1.0.downsample.1.weight - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer1.0.downsample.1.bias - torch.Size([64]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.conv1.weight - torch.Size([160, 64, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer2.0.norm1.weight - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.norm1.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.conv2.weight - torch.Size([160, 160, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer2.0.norm2.weight - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.norm2.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.conv3.weight - torch.Size([160, 160, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer2.0.norm3.weight - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.norm3.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.downsample.0.weight - torch.Size([160, 64, 1, 1]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer2.0.downsample.1.weight - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer2.0.downsample.1.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.conv1.weight - torch.Size([320, 160, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer3.0.norm1.weight - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.norm1.bias - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.conv2.weight - torch.Size([320, 320, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer3.0.norm2.weight - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.norm2.bias - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.conv3.weight - torch.Size([320, 320, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer3.0.norm3.weight - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.norm3.bias - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.downsample.0.weight - torch.Size([320, 160, 1, 1]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer3.0.downsample.1.weight - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer3.0.downsample.1.bias - torch.Size([320]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.conv1.weight - torch.Size([640, 320, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer4.0.norm1.weight - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.norm1.bias - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.conv2.weight - torch.Size([640, 640, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer4.0.norm2.weight - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.norm2.bias - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.conv3.weight - torch.Size([640, 640, 3, 3]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer4.0.norm3.weight - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.norm3.bias - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.downsample.0.weight - torch.Size([640, 320, 1, 1]): 
Initialized by user-defined `init_weights` in ResNet12  

backbone.layer4.0.downsample.1.weight - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

backbone.layer4.0.downsample.1.bias - torch.Size([640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln1.linear.weight - torch.Size([1280, 640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln1.linear.bias - torch.Size([1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln1.ln.weight - torch.Size([1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln1.ln.bias - torch.Size([1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln2.linear.weight - torch.Size([1280, 1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln2.linear.bias - torch.Size([1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln2.ln.weight - torch.Size([1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln2.ln.bias - torch.Size([1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ln3.linear.weight - torch.Size([512, 1280]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  

neck.ffn.proj.weight - torch.Size([512, 640]): 
The value is the same before and after calling `init_weights` of ImageClassifierCIL  
2023-02-02 22:44:38,966 - mmcls - INFO - Start running, host: root@DGX-108, work_dir: /opt/logger/cifar_etf
2023-02-02 22:44:38,967 - mmcls - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH   ) CosineAnnealingCooldownLrUpdaterHook
(NORMAL      ) CheckpointHook                     
(LOW         ) DistEvalHook                       
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_train_epoch:
(VERY_HIGH   ) CosineAnnealingCooldownLrUpdaterHook
(NORMAL      ) DistSamplerSeedHook                
(LOW         ) IterTimerHook                      
(LOW         ) DistEvalHook                       
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_train_iter:
(VERY_HIGH   ) CosineAnnealingCooldownLrUpdaterHook
(LOW         ) IterTimerHook                      
(LOW         ) DistEvalHook                       
 -------------------- 
after_train_iter:
(ABOVE_NORMAL) DistOptimizerHook                  
(NORMAL      ) CheckpointHook                     
(LOW         ) IterTimerHook                      
(LOW         ) DistEvalHook                       
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
after_train_epoch:
(NORMAL      ) CheckpointHook                     
(LOW         ) DistEvalHook                       
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_val_epoch:
(NORMAL      ) DistSamplerSeedHook                
(LOW         ) IterTimerHook                      
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
before_val_iter:
(LOW         ) IterTimerHook                      
 -------------------- 
after_val_iter:
(LOW         ) IterTimerHook                      
 -------------------- 
after_val_epoch:
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
after_run:
(VERY_LOW    ) TextLoggerHook                     
 -------------------- 
2023-02-02 22:44:38,967 - mmcls - INFO - workflow: [('train', 1)], max: 50 epochs
2023-02-02 22:44:38,967 - mmcls - INFO - Checkpoints will be saved to /opt/logger/cifar_etf by HardDiskBackend.
2023-02-02 22:44:50,200 - mmcls - INFO - Epoch [1][10/235]	lr: 4.525e-02, eta: 3:39:44, time: 1.123, data_time: 0.305, memory: 701, top-1: 2.7344, top-5: 10.8008, loss_main: 2.6844, loss_aux: 1.7473, loss: 7.9449
2023-02-02 22:44:50,411 - mmcls - INFO - Epoch [1][20/235]	lr: 6.775e-02, eta: 1:51:50, time: 0.021, data_time: 0.000, memory: 701, top-1: 4.7070, top-5: 14.7266, loss_main: 2.1481, loss_aux: 2.0251, loss: 7.0745
2023-02-02 22:44:50,628 - mmcls - INFO - Epoch [1][30/235]	lr: 9.025e-02, eta: 1:15:54, time: 0.022, data_time: 0.000, memory: 701, top-1: 5.5469, top-5: 18.6133, loss_main: 2.3880, loss_aux: 1.7323, loss: 7.4006
2023-02-02 22:44:50,847 - mmcls - INFO - Epoch [1][40/235]	lr: 1.127e-01, eta: 0:57:56, time: 0.022, data_time: 0.000, memory: 701, top-1: 7.2461, top-5: 23.6914, loss_main: 2.7892, loss_aux: 1.2507, loss: 6.7844
2023-02-02 22:44:51,067 - mmcls - INFO - Epoch [1][50/235]	lr: 1.352e-01, eta: 0:47:11, time: 0.022, data_time: 0.000, memory: 701, top-1: 5.8789, top-5: 20.0781, loss_main: 2.3157, loss_aux: 1.6200, loss: 7.1450
2023-02-02 22:44:51,279 - mmcls - INFO - Epoch [1][60/235]	lr: 1.577e-01, eta: 0:39:58, time: 0.021, data_time: 0.000, memory: 701, top-1: 6.5430, top-5: 22.6953, loss_main: 1.8526, loss_aux: 2.0312, loss: 6.6628
2023-02-02 22:44:51,507 - mmcls - INFO - Epoch [1][70/235]	lr: 1.802e-01, eta: 0:34:52, time: 0.023, data_time: 0.000, memory: 701, top-1: 8.0273, top-5: 25.8398, loss_main: 2.1948, loss_aux: 1.6474, loss: 6.5307
2023-02-02 22:44:51,722 - mmcls - INFO - Epoch [1][80/235]	lr: 2.027e-01, eta: 0:31:00, time: 0.021, data_time: 0.000, memory: 701, top-1: 12.1289, top-5: 32.5586, loss_main: 2.7885, loss_aux: 1.0051, loss: 6.2943
2023-02-02 22:44:51,934 - mmcls - INFO - Epoch [1][90/235]	lr: 2.252e-01, eta: 0:27:59, time: 0.021, data_time: 0.000, memory: 701, top-1: 9.8242, top-5: 29.8633, loss_main: 2.4059, loss_aux: 1.3176, loss: 7.0881
2023-02-02 22:44:52,155 - mmcls - INFO - Epoch [1][100/235]	lr: 2.477e-01, eta: 0:25:35, time: 0.021, data_time: 0.000, memory: 701, top-1: 11.6211, top-5: 34.9805, loss_main: 2.2356, loss_aux: 1.4566, loss: 5.7516
2023-02-02 22:44:52,373 - mmcls - INFO - Epoch [1][110/235]	lr: 2.499e-01, eta: 0:23:38, time: 0.022, data_time: 0.001, memory: 701, top-1: 7.7344, top-5: 23.1055, loss_main: 1.6273, loss_aux: 1.9920, loss: 7.2546
2023-02-02 22:44:52,590 - mmcls - INFO - Epoch [1][120/235]	lr: 2.499e-01, eta: 0:21:59, time: 0.022, data_time: 0.000, memory: 701, top-1: 11.9336, top-5: 33.8086, loss_main: 1.6228, loss_aux: 2.0144, loss: 6.2528
2023-02-02 22:44:52,810 - mmcls - INFO - Epoch [1][130/235]	lr: 2.499e-01, eta: 0:20:37, time: 0.022, data_time: 0.000, memory: 701, top-1: 14.3750, top-5: 38.6914, loss_main: 2.3024, loss_aux: 1.2111, loss: 6.6708
2023-02-02 22:44:53,027 - mmcls - INFO - Epoch [1][140/235]	lr: 2.499e-01, eta: 0:19:25, time: 0.022, data_time: 0.000, memory: 701, top-1: 13.8477, top-5: 37.5391, loss_main: 2.0074, loss_aux: 1.4754, loss: 5.5785
2023-02-02 22:44:53,239 - mmcls - INFO - Epoch [1][150/235]	lr: 2.499e-01, eta: 0:18:23, time: 0.021, data_time: 0.000, memory: 701, top-1: 15.1367, top-5: 40.0391, loss_main: 1.9274, loss_aux: 1.5280, loss: 5.5707
2023-02-02 22:44:53,448 - mmcls - INFO - Epoch [1][160/235]	lr: 2.499e-01, eta: 0:17:28, time: 0.021, data_time: 0.000, memory: 701, top-1: 18.1836, top-5: 47.3633, loss_main: 2.0908, loss_aux: 1.3591, loss: 5.6194
2023-02-02 22:44:53,652 - mmcls - INFO - Epoch [1][170/235]	lr: 2.499e-01, eta: 0:16:40, time: 0.020, data_time: 0.000, memory: 701, top-1: 15.0195, top-5: 37.4805, loss_main: 2.0506, loss_aux: 1.3189, loss: 6.2267
2023-02-02 22:44:53,871 - mmcls - INFO - Epoch [1][180/235]	lr: 2.499e-01, eta: 0:15:57, time: 0.022, data_time: 0.000, memory: 701, top-1: 11.0547, top-5: 31.2500, loss_main: 1.7264, loss_aux: 1.6878, loss: 6.4814
2023-02-02 22:44:54,077 - mmcls - INFO - Epoch [1][190/235]	lr: 2.498e-01, eta: 0:15:19, time: 0.021, data_time: 0.000, memory: 701, top-1: 18.9258, top-5: 46.0352, loss_main: 2.1338, loss_aux: 1.1585, loss: 5.8461
2023-02-02 22:44:54,290 - mmcls - INFO - Epoch [1][200/235]	lr: 2.498e-01, eta: 0:14:44, time: 0.021, data_time: 0.001, memory: 701, top-1: 8.4766, top-5: 26.1328, loss_main: 1.4686, loss_aux: 1.7667, loss: 6.9009
2023-02-02 22:44:54,502 - mmcls - INFO - Epoch [1][210/235]	lr: 2.498e-01, eta: 0:14:13, time: 0.021, data_time: 0.000, memory: 701, top-1: 17.3828, top-5: 39.8828, loss_main: 1.4017, loss_aux: 1.7204, loss: 5.9826
2023-02-02 22:44:54,716 - mmcls - INFO - Epoch [1][220/235]	lr: 2.498e-01, eta: 0:13:45, time: 0.022, data_time: 0.001, memory: 701, top-1: 17.6562, top-5: 44.3945, loss_main: 1.3492, loss_aux: 1.8512, loss: 5.0200
2023-02-02 22:44:54,902 - mmcls - INFO - Epoch [1][230/235]	lr: 2.498e-01, eta: 0:13:17, time: 0.019, data_time: 0.000, memory: 701, top-1: 13.9648, top-5: 38.3008, loss_main: 1.5435, loss_aux: 1.7706, loss: 6.1990
2023-02-02 22:44:55,037 - mmcls - INFO - Saving checkpoint at 1 epochs
2023-02-02 22:44:58,662 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:44:58,930 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_1.pth.
2023-02-02 22:44:58,931 - mmcls - INFO - Best acc is 27.2167 at 1 epoch.
2023-02-02 22:44:58,931 - mmcls - INFO - Epoch(val) [1][12]	acc: 27.2167
2023-02-02 22:45:01,192 - mmcls - INFO - Epoch [2][10/235]	lr: 2.497e-01, eta: 0:14:14, time: 0.226, data_time: 0.204, memory: 701, top-1: 16.8555, top-5: 40.6055, loss_main: 1.7554, loss_aux: 1.3770, loss: 6.2743
2023-02-02 22:45:01,393 - mmcls - INFO - Epoch [2][20/235]	lr: 2.497e-01, eta: 0:13:49, time: 0.020, data_time: 0.000, memory: 701, top-1: 15.5273, top-5: 38.9844, loss_main: 1.7712, loss_aux: 1.4206, loss: 6.6660
2023-02-02 22:45:01,592 - mmcls - INFO - Epoch [2][30/235]	lr: 2.497e-01, eta: 0:13:25, time: 0.019, data_time: 0.000, memory: 701, top-1: 21.5625, top-5: 50.1172, loss_main: 1.8905, loss_aux: 1.5047, loss: 5.4319
2023-02-02 22:45:01,799 - mmcls - INFO - Epoch [2][40/235]	lr: 2.497e-01, eta: 0:13:04, time: 0.021, data_time: 0.001, memory: 701, top-1: 16.6406, top-5: 41.2500, loss_main: 1.6218, loss_aux: 1.6592, loss: 6.0256
2023-02-02 22:45:02,001 - mmcls - INFO - Epoch [2][50/235]	lr: 2.496e-01, eta: 0:12:44, time: 0.020, data_time: 0.000, memory: 701, top-1: 18.7695, top-5: 46.6016, loss_main: 1.9515, loss_aux: 1.4277, loss: 5.8892
2023-02-02 22:45:02,195 - mmcls - INFO - Epoch [2][60/235]	lr: 2.496e-01, eta: 0:12:25, time: 0.019, data_time: 0.000, memory: 701, top-1: 23.2617, top-5: 51.5234, loss_main: 1.7356, loss_aux: 1.4247, loss: 4.8235
2023-02-02 22:45:02,399 - mmcls - INFO - Epoch [2][70/235]	lr: 2.496e-01, eta: 0:12:07, time: 0.020, data_time: 0.000, memory: 701, top-1: 20.9375, top-5: 48.2617, loss_main: 1.7202, loss_aux: 1.1911, loss: 5.8620
2023-02-02 22:45:02,602 - mmcls - INFO - Epoch [2][80/235]	lr: 2.496e-01, eta: 0:11:51, time: 0.021, data_time: 0.001, memory: 701, top-1: 23.5742, top-5: 50.6641, loss_main: 1.6456, loss_aux: 1.2590, loss: 5.4150
2023-02-02 22:45:02,803 - mmcls - INFO - Epoch [2][90/235]	lr: 2.495e-01, eta: 0:11:36, time: 0.020, data_time: 0.000, memory: 701, top-1: 21.7383, top-5: 48.7695, loss_main: 1.6432, loss_aux: 1.2984, loss: 5.5343
2023-02-02 22:45:03,000 - mmcls - INFO - Epoch [2][100/235]	lr: 2.495e-01, eta: 0:11:21, time: 0.019, data_time: 0.000, memory: 701, top-1: 27.4609, top-5: 57.4414, loss_main: 1.7718, loss_aux: 1.3609, loss: 4.3762
2023-02-02 22:45:03,207 - mmcls - INFO - Epoch [2][110/235]	lr: 2.495e-01, eta: 0:11:07, time: 0.020, data_time: 0.000, memory: 701, top-1: 27.3047, top-5: 55.9766, loss_main: 1.8408, loss_aux: 1.1563, loss: 5.5271
2023-02-02 22:45:03,408 - mmcls - INFO - Epoch [2][120/235]	lr: 2.494e-01, eta: 0:10:54, time: 0.021, data_time: 0.001, memory: 701, top-1: 22.2266, top-5: 46.7383, loss_main: 1.5632, loss_aux: 1.3843, loss: 5.4957
2023-02-02 22:45:03,606 - mmcls - INFO - Epoch [2][130/235]	lr: 2.494e-01, eta: 0:10:42, time: 0.020, data_time: 0.000, memory: 701, top-1: 30.6836, top-5: 60.3320, loss_main: 1.5392, loss_aux: 1.2761, loss: 4.0671
2023-02-02 22:45:03,813 - mmcls - INFO - Epoch [2][140/235]	lr: 2.494e-01, eta: 0:10:31, time: 0.021, data_time: 0.000, memory: 701, top-1: 29.8633, top-5: 62.8711, loss_main: 1.8122, loss_aux: 0.9916, loss: 4.6963
2023-02-02 22:45:04,026 - mmcls - INFO - Epoch [2][150/235]	lr: 2.493e-01, eta: 0:10:20, time: 0.021, data_time: 0.000, memory: 701, top-1: 26.5820, top-5: 55.8008, loss_main: 1.7317, loss_aux: 1.1757, loss: 5.4953
2023-02-02 22:45:04,223 - mmcls - INFO - Epoch [2][160/235]	lr: 2.493e-01, eta: 0:10:10, time: 0.020, data_time: 0.001, memory: 701, top-1: 24.3555, top-5: 51.5039, loss_main: 1.5261, loss_aux: 1.2670, loss: 5.2882
2023-02-02 22:45:04,423 - mmcls - INFO - Epoch [2][170/235]	lr: 2.493e-01, eta: 0:10:00, time: 0.020, data_time: 0.000, memory: 701, top-1: 19.3945, top-5: 41.0352, loss_main: 1.1846, loss_aux: 1.5970, loss: 5.3849
2023-02-02 22:45:04,622 - mmcls - INFO - Epoch [2][180/235]	lr: 2.492e-01, eta: 0:09:50, time: 0.020, data_time: 0.000, memory: 701, top-1: 29.3555, top-5: 57.8906, loss_main: 1.4708, loss_aux: 1.3086, loss: 4.6698
2023-02-02 22:45:04,840 - mmcls - INFO - Epoch [2][190/235]	lr: 2.492e-01, eta: 0:09:41, time: 0.021, data_time: 0.000, memory: 701, top-1: 30.8984, top-5: 60.4102, loss_main: 1.7688, loss_aux: 1.0609, loss: 5.2002
2023-02-02 22:45:05,040 - mmcls - INFO - Epoch [2][200/235]	lr: 2.492e-01, eta: 0:09:33, time: 0.021, data_time: 0.002, memory: 701, top-1: 28.3984, top-5: 58.7109, loss_main: 1.8597, loss_aux: 1.1942, loss: 4.9214
2023-02-02 22:45:05,236 - mmcls - INFO - Epoch [2][210/235]	lr: 2.491e-01, eta: 0:09:24, time: 0.020, data_time: 0.000, memory: 701, top-1: 28.3984, top-5: 55.0586, loss_main: 1.6821, loss_aux: 1.3401, loss: 4.6258
2023-02-02 22:45:05,433 - mmcls - INFO - Epoch [2][220/235]	lr: 2.491e-01, eta: 0:09:16, time: 0.019, data_time: 0.000, memory: 701, top-1: 28.7500, top-5: 58.6523, loss_main: 1.4142, loss_aux: 1.3896, loss: 4.6799
2023-02-02 22:45:05,607 - mmcls - INFO - Epoch [2][230/235]	lr: 2.490e-01, eta: 0:09:08, time: 0.018, data_time: 0.001, memory: 701, top-1: 18.5352, top-5: 41.4062, loss_main: 1.4015, loss_aux: 1.3769, loss: 6.1577
2023-02-02 22:45:05,698 - mmcls - INFO - Saving checkpoint at 2 epochs
2023-02-02 22:45:08,109 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:45:08,124 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_1.pth was removed
2023-02-02 22:45:08,349 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_2.pth.
2023-02-02 22:45:08,349 - mmcls - INFO - Best acc is 40.7167 at 2 epoch.
2023-02-02 22:45:08,350 - mmcls - INFO - Epoch(val) [2][12]	acc: 40.7167
2023-02-02 22:45:10,601 - mmcls - INFO - Epoch [3][10/235]	lr: 2.490e-01, eta: 0:09:43, time: 0.225, data_time: 0.204, memory: 701, top-1: 29.5898, top-5: 57.9883, loss_main: 1.3103, loss_aux: 1.2540, loss: 4.5924
2023-02-02 22:45:10,807 - mmcls - INFO - Epoch [3][20/235]	lr: 2.489e-01, eta: 0:09:35, time: 0.020, data_time: 0.000, memory: 701, top-1: 20.1367, top-5: 43.4766, loss_main: 1.3908, loss_aux: 1.4566, loss: 5.8730
2023-02-02 22:45:11,003 - mmcls - INFO - Epoch [3][30/235]	lr: 2.489e-01, eta: 0:09:28, time: 0.020, data_time: 0.000, memory: 701, top-1: 27.1875, top-5: 55.4883, loss_main: 1.4868, loss_aux: 1.4285, loss: 5.1872
2023-02-02 22:45:11,202 - mmcls - INFO - Epoch [3][40/235]	lr: 2.489e-01, eta: 0:09:20, time: 0.020, data_time: 0.000, memory: 701, top-1: 23.0273, top-5: 47.5391, loss_main: 1.3267, loss_aux: 1.5182, loss: 5.1594
2023-02-02 22:45:11,402 - mmcls - INFO - Epoch [3][50/235]	lr: 2.488e-01, eta: 0:09:13, time: 0.020, data_time: 0.000, memory: 701, top-1: 31.4648, top-5: 61.3672, loss_main: 1.5276, loss_aux: 1.2052, loss: 4.8091
2023-02-02 22:45:11,597 - mmcls - INFO - Epoch [3][60/235]	lr: 2.488e-01, eta: 0:09:07, time: 0.020, data_time: 0.000, memory: 701, top-1: 27.5000, top-5: 55.6445, loss_main: 1.5841, loss_aux: 1.1785, loss: 5.3108
2023-02-02 22:45:11,810 - mmcls - INFO - Epoch [3][70/235]	lr: 2.487e-01, eta: 0:09:00, time: 0.021, data_time: 0.000, memory: 701, top-1: 21.4844, top-5: 44.7070, loss_main: 1.3734, loss_aux: 1.4226, loss: 6.0377
2023-02-02 22:45:12,009 - mmcls - INFO - Epoch [3][80/235]	lr: 2.487e-01, eta: 0:08:54, time: 0.020, data_time: 0.001, memory: 701, top-1: 25.4297, top-5: 52.2656, loss_main: 1.5214, loss_aux: 1.2718, loss: 5.4759
2023-02-02 22:45:12,207 - mmcls - INFO - Epoch [3][90/235]	lr: 2.486e-01, eta: 0:08:48, time: 0.020, data_time: 0.000, memory: 701, top-1: 35.8984, top-5: 67.7344, loss_main: 1.6982, loss_aux: 1.0213, loss: 4.5466
2023-02-02 22:45:12,408 - mmcls - INFO - Epoch [3][100/235]	lr: 2.486e-01, eta: 0:08:42, time: 0.020, data_time: 0.000, memory: 701, top-1: 37.0312, top-5: 67.7539, loss_main: 1.7154, loss_aux: 0.9127, loss: 4.6973
2023-02-02 22:45:12,620 - mmcls - INFO - Epoch [3][110/235]	lr: 2.485e-01, eta: 0:08:37, time: 0.021, data_time: 0.000, memory: 701, top-1: 22.9688, top-5: 45.6055, loss_main: 1.3402, loss_aux: 1.3098, loss: 5.5867
2023-02-02 22:45:12,822 - mmcls - INFO - Epoch [3][120/235]	lr: 2.485e-01, eta: 0:08:32, time: 0.021, data_time: 0.001, memory: 701, top-1: 37.0117, top-5: 68.3984, loss_main: 1.7425, loss_aux: 0.8979, loss: 4.6497
2023-02-02 22:45:13,021 - mmcls - INFO - Epoch [3][130/235]	lr: 2.484e-01, eta: 0:08:26, time: 0.020, data_time: 0.000, memory: 701, top-1: 25.2344, top-5: 49.8047, loss_main: 1.4928, loss_aux: 1.1575, loss: 5.2300
2023-02-02 22:45:13,230 - mmcls - INFO - Epoch [3][140/235]	lr: 2.484e-01, eta: 0:08:21, time: 0.021, data_time: 0.000, memory: 701, top-1: 30.5469, top-5: 57.8516, loss_main: 1.5700, loss_aux: 1.2351, loss: 5.2153
2023-02-02 22:45:13,439 - mmcls - INFO - Epoch [3][150/235]	lr: 2.483e-01, eta: 0:08:17, time: 0.021, data_time: 0.000, memory: 701, top-1: 27.5781, top-5: 52.2461, loss_main: 1.3685, loss_aux: 1.0789, loss: 5.3913
2023-02-02 22:45:13,640 - mmcls - INFO - Epoch [3][160/235]	lr: 2.483e-01, eta: 0:08:12, time: 0.020, data_time: 0.000, memory: 701, top-1: 33.9062, top-5: 58.1250, loss_main: 1.2272, loss_aux: 1.0804, loss: 4.0836
2023-02-02 22:45:13,845 - mmcls - INFO - Epoch [3][170/235]	lr: 2.482e-01, eta: 0:08:07, time: 0.021, data_time: 0.001, memory: 701, top-1: 37.5391, top-5: 66.7188, loss_main: 1.4422, loss_aux: 1.0380, loss: 4.1598
2023-02-02 22:45:14,059 - mmcls - INFO - Epoch [3][180/235]	lr: 2.481e-01, eta: 0:08:03, time: 0.021, data_time: 0.000, memory: 701, top-1: 31.4062, top-5: 58.9453, loss_main: 1.4280, loss_aux: 1.1207, loss: 4.6910
2023-02-02 22:45:14,265 - mmcls - INFO - Epoch [3][190/235]	lr: 2.481e-01, eta: 0:07:59, time: 0.021, data_time: 0.001, memory: 701, top-1: 39.9414, top-5: 70.9961, loss_main: 1.6308, loss_aux: 0.9498, loss: 4.2035
2023-02-02 22:45:14,461 - mmcls - INFO - Epoch [3][200/235]	lr: 2.480e-01, eta: 0:07:54, time: 0.020, data_time: 0.001, memory: 701, top-1: 36.3086, top-5: 64.5898, loss_main: 1.4434, loss_aux: 1.0051, loss: 4.1466
2023-02-02 22:45:14,670 - mmcls - INFO - Epoch [3][210/235]	lr: 2.480e-01, eta: 0:07:50, time: 0.021, data_time: 0.000, memory: 701, top-1: 33.6719, top-5: 63.4961, loss_main: 1.4726, loss_aux: 1.0488, loss: 5.0020
2023-02-02 22:45:14,872 - mmcls - INFO - Epoch [3][220/235]	lr: 2.479e-01, eta: 0:07:46, time: 0.020, data_time: 0.000, memory: 701, top-1: 37.4219, top-5: 66.9922, loss_main: 1.3692, loss_aux: 1.0621, loss: 4.3575
2023-02-02 22:45:15,041 - mmcls - INFO - Epoch [3][230/235]	lr: 2.478e-01, eta: 0:07:42, time: 0.017, data_time: 0.000, memory: 701, top-1: 37.4414, top-5: 64.1992, loss_main: 1.3895, loss_aux: 0.8793, loss: 3.9666
2023-02-02 22:45:15,127 - mmcls - INFO - Saving checkpoint at 3 epochs
2023-02-02 22:45:17,518 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:45:17,532 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_2.pth was removed
2023-02-02 22:45:17,758 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_3.pth.
2023-02-02 22:45:17,758 - mmcls - INFO - Best acc is 48.6167 at 3 epoch.
2023-02-02 22:45:17,759 - mmcls - INFO - Epoch(val) [3][12]	acc: 48.6167
2023-02-02 22:45:20,011 - mmcls - INFO - Epoch [4][10/235]	lr: 2.477e-01, eta: 0:08:06, time: 0.225, data_time: 0.204, memory: 701, top-1: 36.4844, top-5: 63.8867, loss_main: 1.3855, loss_aux: 0.9841, loss: 4.1164
2023-02-02 22:45:20,218 - mmcls - INFO - Epoch [4][20/235]	lr: 2.477e-01, eta: 0:08:02, time: 0.021, data_time: 0.000, memory: 701, top-1: 25.8203, top-5: 48.7500, loss_main: 1.1756, loss_aux: 1.1591, loss: 5.2337
2023-02-02 22:45:20,417 - mmcls - INFO - Epoch [4][30/235]	lr: 2.476e-01, eta: 0:07:58, time: 0.020, data_time: 0.000, memory: 701, top-1: 41.2891, top-5: 71.9336, loss_main: 1.5229, loss_aux: 0.8464, loss: 4.4830
2023-02-02 22:45:20,622 - mmcls - INFO - Epoch [4][40/235]	lr: 2.476e-01, eta: 0:07:54, time: 0.020, data_time: 0.000, memory: 701, top-1: 33.6523, top-5: 63.9258, loss_main: 1.5718, loss_aux: 1.2751, loss: 4.7481
2023-02-02 22:45:20,839 - mmcls - INFO - Epoch [4][50/235]	lr: 2.475e-01, eta: 0:07:51, time: 0.022, data_time: 0.001, memory: 701, top-1: 32.4609, top-5: 58.8672, loss_main: 1.3956, loss_aux: 1.1416, loss: 4.6517
2023-02-02 22:45:21,054 - mmcls - INFO - Epoch [4][60/235]	lr: 2.474e-01, eta: 0:07:47, time: 0.021, data_time: 0.000, memory: 701, top-1: 29.7852, top-5: 58.7305, loss_main: 1.4687, loss_aux: 1.2488, loss: 5.1524
2023-02-02 22:45:21,261 - mmcls - INFO - Epoch [4][70/235]	lr: 2.474e-01, eta: 0:07:44, time: 0.021, data_time: 0.000, memory: 701, top-1: 27.4414, top-5: 51.6602, loss_main: 1.4763, loss_aux: 1.2382, loss: 5.1124
2023-02-02 22:45:21,472 - mmcls - INFO - Epoch [4][80/235]	lr: 2.473e-01, eta: 0:07:40, time: 0.021, data_time: 0.000, memory: 701, top-1: 35.2734, top-5: 62.1484, loss_main: 1.4336, loss_aux: 1.1252, loss: 4.7584
2023-02-02 22:45:21,664 - mmcls - INFO - Epoch [4][90/235]	lr: 2.472e-01, eta: 0:07:37, time: 0.019, data_time: 0.000, memory: 701, top-1: 37.2852, top-5: 63.7891, loss_main: 1.4111, loss_aux: 0.8854, loss: 4.2898
2023-02-02 22:45:21,861 - mmcls - INFO - Epoch [4][100/235]	lr: 2.471e-01, eta: 0:07:33, time: 0.020, data_time: 0.000, memory: 701, top-1: 35.6836, top-5: 61.0352, loss_main: 1.2782, loss_aux: 0.9029, loss: 4.2128
2023-02-02 22:45:22,069 - mmcls - INFO - Epoch [4][110/235]	lr: 2.471e-01, eta: 0:07:30, time: 0.021, data_time: 0.001, memory: 701, top-1: 35.8008, top-5: 62.5781, loss_main: 1.3158, loss_aux: 1.1353, loss: 4.4507
2023-02-02 22:45:22,270 - mmcls - INFO - Epoch [4][120/235]	lr: 2.470e-01, eta: 0:07:27, time: 0.020, data_time: 0.000, memory: 701, top-1: 31.6602, top-5: 58.0859, loss_main: 1.3173, loss_aux: 1.2613, loss: 5.0121
2023-02-02 22:45:22,484 - mmcls - INFO - Epoch [4][130/235]	lr: 2.469e-01, eta: 0:07:24, time: 0.021, data_time: 0.000, memory: 701, top-1: 30.6445, top-5: 55.5664, loss_main: 1.3525, loss_aux: 1.2212, loss: 5.0363
2023-02-02 22:45:22,683 - mmcls - INFO - Epoch [4][140/235]	lr: 2.469e-01, eta: 0:07:21, time: 0.020, data_time: 0.001, memory: 701, top-1: 43.3203, top-5: 73.4766, loss_main: 1.5063, loss_aux: 1.0400, loss: 4.0387
2023-02-02 22:45:22,887 - mmcls - INFO - Epoch [4][150/235]	lr: 2.468e-01, eta: 0:07:18, time: 0.021, data_time: 0.000, memory: 701, top-1: 38.2031, top-5: 66.5039, loss_main: 1.4387, loss_aux: 1.0328, loss: 4.0418
2023-02-02 22:45:23,084 - mmcls - INFO - Epoch [4][160/235]	lr: 2.467e-01, eta: 0:07:15, time: 0.020, data_time: 0.000, memory: 701, top-1: 36.6797, top-5: 60.1953, loss_main: 1.2649, loss_aux: 1.2110, loss: 3.7481
2023-02-02 22:45:23,271 - mmcls - INFO - Epoch [4][170/235]	lr: 2.466e-01, eta: 0:07:12, time: 0.019, data_time: 0.000, memory: 701, top-1: 23.0664, top-5: 45.0391, loss_main: 1.2098, loss_aux: 1.3393, loss: 4.9783
2023-02-02 22:45:23,473 - mmcls - INFO - Epoch [4][180/235]	lr: 2.466e-01, eta: 0:07:09, time: 0.020, data_time: 0.000, memory: 701, top-1: 46.8164, top-5: 75.1367, loss_main: 1.3811, loss_aux: 1.0210, loss: 3.7228
2023-02-02 22:45:23,667 - mmcls - INFO - Epoch [4][190/235]	lr: 2.465e-01, eta: 0:07:06, time: 0.019, data_time: 0.000, memory: 701, top-1: 38.4180, top-5: 66.9922, loss_main: 1.4731, loss_aux: 1.0742, loss: 3.9628
2023-02-02 22:45:23,870 - mmcls - INFO - Epoch [4][200/235]	lr: 2.464e-01, eta: 0:07:04, time: 0.020, data_time: 0.000, memory: 701, top-1: 34.1016, top-5: 58.5742, loss_main: 1.3092, loss_aux: 1.1480, loss: 4.3363
2023-02-02 22:45:24,073 - mmcls - INFO - Epoch [4][210/235]	lr: 2.463e-01, eta: 0:07:01, time: 0.021, data_time: 0.001, memory: 701, top-1: 26.6797, top-5: 50.4102, loss_main: 1.2409, loss_aux: 1.0585, loss: 4.8870
2023-02-02 22:45:24,275 - mmcls - INFO - Epoch [4][220/235]	lr: 2.462e-01, eta: 0:06:59, time: 0.020, data_time: 0.000, memory: 701, top-1: 33.8477, top-5: 60.0781, loss_main: 1.3111, loss_aux: 1.2505, loss: 4.6548
2023-02-02 22:45:24,446 - mmcls - INFO - Epoch [4][230/235]	lr: 2.462e-01, eta: 0:06:56, time: 0.017, data_time: 0.000, memory: 701, top-1: 36.5820, top-5: 64.1602, loss_main: 1.3939, loss_aux: 1.0970, loss: 4.9051
2023-02-02 22:45:24,535 - mmcls - INFO - Saving checkpoint at 4 epochs
2023-02-02 22:45:26,931 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:45:26,945 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_3.pth was removed
2023-02-02 22:45:27,171 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_4.pth.
2023-02-02 22:45:27,171 - mmcls - INFO - Best acc is 54.0333 at 4 epoch.
2023-02-02 22:45:27,171 - mmcls - INFO - Epoch(val) [4][12]	acc: 54.0333
2023-02-02 22:45:29,451 - mmcls - INFO - Epoch [5][10/235]	lr: 2.460e-01, eta: 0:07:14, time: 0.228, data_time: 0.205, memory: 701, loss: 4.3153, top-1: 36.3281, top-5: 62.8320, loss_main: 1.2901, loss_aux: 1.0204
2023-02-02 22:45:29,668 - mmcls - INFO - Epoch [5][20/235]	lr: 2.459e-01, eta: 0:07:12, time: 0.022, data_time: 0.000, memory: 701, loss: 4.9793, top-1: 29.6484, top-5: 54.2188, loss_main: 1.2989, loss_aux: 1.0890
2023-02-02 22:45:29,892 - mmcls - INFO - Epoch [5][30/235]	lr: 2.459e-01, eta: 0:07:10, time: 0.022, data_time: 0.000, memory: 701, loss: 3.9297, top-1: 40.2734, top-5: 66.4648, loss_main: 1.2919, loss_aux: 1.0692
2023-02-02 22:45:30,096 - mmcls - INFO - Epoch [5][40/235]	lr: 2.458e-01, eta: 0:07:07, time: 0.020, data_time: 0.000, memory: 701, loss: 3.1590, top-1: 47.6953, top-5: 73.7500, loss_main: 1.2867, loss_aux: 0.9526
2023-02-02 22:45:30,298 - mmcls - INFO - Epoch [5][50/235]	lr: 2.457e-01, eta: 0:07:04, time: 0.020, data_time: 0.000, memory: 701, loss: 4.0081, top-1: 44.0039, top-5: 68.9648, loss_main: 1.1999, loss_aux: 0.9540
2023-02-02 22:45:30,493 - mmcls - INFO - Epoch [5][60/235]	lr: 2.456e-01, eta: 0:07:02, time: 0.019, data_time: 0.000, memory: 701, loss: 4.1703, top-1: 37.3828, top-5: 62.2656, loss_main: 1.2646, loss_aux: 1.1075
2023-02-02 22:45:30,681 - mmcls - INFO - Epoch [5][70/235]	lr: 2.455e-01, eta: 0:06:59, time: 0.019, data_time: 0.000, memory: 701, loss: 4.0278, top-1: 39.4727, top-5: 65.7617, loss_main: 1.3496, loss_aux: 1.1346
2023-02-02 22:45:30,880 - mmcls - INFO - Epoch [5][80/235]	lr: 2.454e-01, eta: 0:06:57, time: 0.020, data_time: 0.000, memory: 701, loss: 4.9328, top-1: 35.9570, top-5: 63.6914, loss_main: 1.4146, loss_aux: 1.1000
2023-02-02 22:45:31,068 - mmcls - INFO - Epoch [5][90/235]	lr: 2.453e-01, eta: 0:06:54, time: 0.019, data_time: 0.001, memory: 701, loss: 3.8172, top-1: 39.3359, top-5: 66.1328, loss_main: 1.3067, loss_aux: 1.0918
2023-02-02 22:45:31,256 - mmcls - INFO - Epoch [5][100/235]	lr: 2.452e-01, eta: 0:06:52, time: 0.019, data_time: 0.000, memory: 701, loss: 4.6441, top-1: 36.9141, top-5: 63.0469, loss_main: 1.4047, loss_aux: 1.1088
2023-02-02 22:45:31,449 - mmcls - INFO - Epoch [5][110/235]	lr: 2.452e-01, eta: 0:06:50, time: 0.019, data_time: 0.000, memory: 701, loss: 4.0509, top-1: 38.2812, top-5: 67.2070, loss_main: 1.4758, loss_aux: 1.4178
2023-02-02 22:45:31,658 - mmcls - INFO - Epoch [5][120/235]	lr: 2.451e-01, eta: 0:06:48, time: 0.021, data_time: 0.000, memory: 701, loss: 4.2558, top-1: 36.9336, top-5: 62.0703, loss_main: 1.3291, loss_aux: 1.0541
2023-02-02 22:45:31,875 - mmcls - INFO - Epoch [5][130/235]	lr: 2.450e-01, eta: 0:06:46, time: 0.022, data_time: 0.000, memory: 701, loss: 3.5665, top-1: 44.3750, top-5: 69.3359, loss_main: 1.1141, loss_aux: 0.7704
2023-02-02 22:45:32,093 - mmcls - INFO - Epoch [5][140/235]	lr: 2.449e-01, eta: 0:06:44, time: 0.022, data_time: 0.001, memory: 701, loss: 4.2773, top-1: 36.2305, top-5: 58.7109, loss_main: 1.1612, loss_aux: 0.9678
2023-02-02 22:45:32,306 - mmcls - INFO - Epoch [5][150/235]	lr: 2.448e-01, eta: 0:06:42, time: 0.021, data_time: 0.000, memory: 701, loss: 3.6751, top-1: 43.1445, top-5: 71.6602, loss_main: 1.3339, loss_aux: 0.9842
2023-02-02 22:45:32,523 - mmcls - INFO - Epoch [5][160/235]	lr: 2.447e-01, eta: 0:06:40, time: 0.021, data_time: 0.000, memory: 701, loss: 5.4407, top-1: 26.0547, top-5: 48.5938, loss_main: 1.1887, loss_aux: 1.1777
2023-02-02 22:45:32,741 - mmcls - INFO - Epoch [5][170/235]	lr: 2.446e-01, eta: 0:06:38, time: 0.022, data_time: 0.001, memory: 701, loss: 4.2201, top-1: 43.5352, top-5: 74.1016, loss_main: 1.3701, loss_aux: 1.0925
2023-02-02 22:45:32,953 - mmcls - INFO - Epoch [5][180/235]	lr: 2.445e-01, eta: 0:06:36, time: 0.022, data_time: 0.001, memory: 701, loss: 4.3962, top-1: 32.9883, top-5: 56.3672, loss_main: 1.2206, loss_aux: 1.1954
2023-02-02 22:45:33,162 - mmcls - INFO - Epoch [5][190/235]	lr: 2.444e-01, eta: 0:06:34, time: 0.021, data_time: 0.000, memory: 701, loss: 4.7818, top-1: 30.6250, top-5: 51.4258, loss_main: 0.9639, loss_aux: 1.1693
2023-02-02 22:45:33,370 - mmcls - INFO - Epoch [5][200/235]	lr: 2.443e-01, eta: 0:06:32, time: 0.021, data_time: 0.000, memory: 701, loss: 4.2922, top-1: 36.8555, top-5: 61.1719, loss_main: 1.3360, loss_aux: 0.9788
2023-02-02 22:45:33,579 - mmcls - INFO - Epoch [5][210/235]	lr: 2.442e-01, eta: 0:06:30, time: 0.021, data_time: 0.000, memory: 701, loss: 3.5993, top-1: 44.3359, top-5: 68.9453, loss_main: 1.1438, loss_aux: 0.9268
2023-02-02 22:45:33,784 - mmcls - INFO - Epoch [5][220/235]	lr: 2.441e-01, eta: 0:06:28, time: 0.021, data_time: 0.001, memory: 701, loss: 4.4867, top-1: 38.7109, top-5: 65.8984, loss_main: 1.2599, loss_aux: 1.1296
2023-02-02 22:45:33,961 - mmcls - INFO - Epoch [5][230/235]	lr: 2.440e-01, eta: 0:06:26, time: 0.018, data_time: 0.001, memory: 701, loss: 3.7823, top-1: 42.9297, top-5: 66.7188, loss_main: 1.1164, loss_aux: 1.1283
2023-02-02 22:45:34,046 - mmcls - INFO - Saving checkpoint at 5 epochs
2023-02-02 22:45:36,439 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:45:36,453 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_4.pth was removed
2023-02-02 22:45:36,680 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_5.pth.
2023-02-02 22:45:36,680 - mmcls - INFO - Best acc is 57.1667 at 5 epoch.
2023-02-02 22:45:36,680 - mmcls - INFO - Epoch(val) [5][12]	acc: 57.1667
2023-02-02 22:45:38,958 - mmcls - INFO - Epoch [6][10/235]	lr: 2.438e-01, eta: 0:06:41, time: 0.228, data_time: 0.204, memory: 701, top-1: 33.3203, top-5: 60.0000, loss_main: 1.3825, loss_aux: 1.1536, loss: 5.1243
2023-02-02 22:45:39,170 - mmcls - INFO - Epoch [6][20/235]	lr: 2.437e-01, eta: 0:06:39, time: 0.021, data_time: 0.000, memory: 701, top-1: 41.2695, top-5: 64.1992, loss_main: 1.0917, loss_aux: 0.8651, loss: 3.6389
2023-02-02 22:45:39,384 - mmcls - INFO - Epoch [6][30/235]	lr: 2.436e-01, eta: 0:06:37, time: 0.021, data_time: 0.000, memory: 701, top-1: 35.6250, top-5: 56.4648, loss_main: 1.0662, loss_aux: 0.8367, loss: 4.5829
2023-02-02 22:45:39,598 - mmcls - INFO - Epoch [6][40/235]	lr: 2.435e-01, eta: 0:06:36, time: 0.021, data_time: 0.000, memory: 701, top-1: 39.5898, top-5: 66.2500, loss_main: 1.2580, loss_aux: 1.0002, loss: 4.4119
2023-02-02 22:45:39,804 - mmcls - INFO - Epoch [6][50/235]	lr: 2.434e-01, eta: 0:06:34, time: 0.021, data_time: 0.001, memory: 701, top-1: 35.0391, top-5: 60.4883, loss_main: 1.2632, loss_aux: 1.1854, loss: 4.7387
2023-02-02 22:45:40,006 - mmcls - INFO - Epoch [6][60/235]	lr: 2.433e-01, eta: 0:06:32, time: 0.020, data_time: 0.000, memory: 701, top-1: 32.8711, top-5: 57.4414, loss_main: 1.2655, loss_aux: 1.1077, loss: 4.8180
2023-02-02 22:45:40,213 - mmcls - INFO - Epoch [6][70/235]	lr: 2.432e-01, eta: 0:06:30, time: 0.020, data_time: 0.000, memory: 701, top-1: 47.9102, top-5: 73.2031, loss_main: 1.2472, loss_aux: 1.0056, loss: 3.3825
2023-02-02 22:45:40,424 - mmcls - INFO - Epoch [6][80/235]	lr: 2.431e-01, eta: 0:06:28, time: 0.021, data_time: 0.001, memory: 701, top-1: 39.1797, top-5: 65.8789, loss_main: 1.2373, loss_aux: 1.1479, loss: 4.3341
2023-02-02 22:45:40,629 - mmcls - INFO - Epoch [6][90/235]	lr: 2.430e-01, eta: 0:06:27, time: 0.021, data_time: 0.001, memory: 701, top-1: 41.2695, top-5: 65.2930, loss_main: 1.2259, loss_aux: 0.9043, loss: 4.2001
2023-02-02 22:45:40,847 - mmcls - INFO - Epoch [6][100/235]	lr: 2.429e-01, eta: 0:06:25, time: 0.022, data_time: 0.000, memory: 701, top-1: 40.9961, top-5: 67.5195, loss_main: 1.3366, loss_aux: 0.9961, loss: 4.2723
2023-02-02 22:45:41,083 - mmcls - INFO - Epoch [6][110/235]	lr: 2.428e-01, eta: 0:06:24, time: 0.024, data_time: 0.000, memory: 701, top-1: 33.7109, top-5: 56.4062, loss_main: 1.2416, loss_aux: 1.1877, loss: 4.3172
2023-02-02 22:45:41,301 - mmcls - INFO - Epoch [6][120/235]	lr: 2.427e-01, eta: 0:06:22, time: 0.022, data_time: 0.000, memory: 701, top-1: 40.0195, top-5: 67.0312, loss_main: 1.2093, loss_aux: 1.0820, loss: 4.0169
2023-02-02 22:45:41,529 - mmcls - INFO - Epoch [6][130/235]	lr: 2.425e-01, eta: 0:06:21, time: 0.023, data_time: 0.001, memory: 701, top-1: 44.7070, top-5: 71.1523, loss_main: 1.3081, loss_aux: 1.1135, loss: 3.7283
2023-02-02 22:45:41,746 - mmcls - INFO - Epoch [6][140/235]	lr: 2.424e-01, eta: 0:06:19, time: 0.022, data_time: 0.000, memory: 701, top-1: 48.0078, top-5: 74.5117, loss_main: 1.3126, loss_aux: 0.9681, loss: 3.4079
2023-02-02 22:45:41,966 - mmcls - INFO - Epoch [6][150/235]	lr: 2.423e-01, eta: 0:06:18, time: 0.022, data_time: 0.000, memory: 701, top-1: 50.2539, top-5: 77.9102, loss_main: 1.2795, loss_aux: 0.9381, loss: 3.1126
2023-02-02 22:45:42,169 - mmcls - INFO - Epoch [6][160/235]	lr: 2.422e-01, eta: 0:06:16, time: 0.020, data_time: 0.001, memory: 701, top-1: 53.5938, top-5: 80.2539, loss_main: 1.2563, loss_aux: 0.8372, loss: 2.7475
2023-02-02 22:45:42,384 - mmcls - INFO - Epoch [6][170/235]	lr: 2.421e-01, eta: 0:06:14, time: 0.022, data_time: 0.001, memory: 701, top-1: 43.6523, top-5: 68.8086, loss_main: 1.2200, loss_aux: 0.8352, loss: 3.9131
2023-02-02 22:45:42,592 - mmcls - INFO - Epoch [6][180/235]	lr: 2.420e-01, eta: 0:06:13, time: 0.021, data_time: 0.000, memory: 701, top-1: 31.3477, top-5: 54.6094, loss_main: 1.0737, loss_aux: 1.1025, loss: 4.8286
2023-02-02 22:45:42,804 - mmcls - INFO - Epoch [6][190/235]	lr: 2.418e-01, eta: 0:06:11, time: 0.021, data_time: 0.000, memory: 701, top-1: 32.4609, top-5: 60.2148, loss_main: 1.4855, loss_aux: 1.2303, loss: 5.0400
2023-02-02 22:45:43,032 - mmcls - INFO - Epoch [6][200/235]	lr: 2.417e-01, eta: 0:06:10, time: 0.022, data_time: 0.000, memory: 701, top-1: 52.1094, top-5: 80.3906, loss_main: 1.2665, loss_aux: 0.8484, loss: 3.3493
2023-02-02 22:45:43,251 - mmcls - INFO - Epoch [6][210/235]	lr: 2.416e-01, eta: 0:06:09, time: 0.022, data_time: 0.001, memory: 701, top-1: 24.1406, top-5: 44.2188, loss_main: 1.1220, loss_aux: 1.2254, loss: 5.3221
2023-02-02 22:45:43,468 - mmcls - INFO - Epoch [6][220/235]	lr: 2.415e-01, eta: 0:06:07, time: 0.022, data_time: 0.000, memory: 701, top-1: 33.3203, top-5: 56.3281, loss_main: 1.0540, loss_aux: 1.3334, loss: 4.2148
2023-02-02 22:45:43,646 - mmcls - INFO - Epoch [6][230/235]	lr: 2.414e-01, eta: 0:06:06, time: 0.018, data_time: 0.000, memory: 701, top-1: 46.4844, top-5: 75.2344, loss_main: 1.2874, loss_aux: 1.0893, loss: 3.5953
2023-02-02 22:45:43,727 - mmcls - INFO - Saving checkpoint at 6 epochs
2023-02-02 22:45:46,113 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:45:46,114 - mmcls - INFO - Epoch(val) [6][12]	acc: 44.8833
2023-02-02 22:45:48,392 - mmcls - INFO - Epoch [7][10/235]	lr: 2.412e-01, eta: 0:06:18, time: 0.228, data_time: 0.204, memory: 701, top-1: 46.8945, top-5: 71.1133, loss_main: 1.0808, loss_aux: 0.9119, loss: 3.4533
2023-02-02 22:45:48,644 - mmcls - INFO - Epoch [7][20/235]	lr: 2.411e-01, eta: 0:06:17, time: 0.025, data_time: 0.000, memory: 701, top-1: 55.1562, top-5: 79.4336, loss_main: 1.0331, loss_aux: 0.7134, loss: 2.5637
2023-02-02 22:45:48,887 - mmcls - INFO - Epoch [7][30/235]	lr: 2.409e-01, eta: 0:06:15, time: 0.024, data_time: 0.001, memory: 701, top-1: 48.9453, top-5: 73.7305, loss_main: 1.1088, loss_aux: 0.7550, loss: 2.9926
2023-02-02 22:45:49,145 - mmcls - INFO - Epoch [7][40/235]	lr: 2.408e-01, eta: 0:06:14, time: 0.026, data_time: 0.001, memory: 701, top-1: 36.2695, top-5: 60.7227, loss_main: 1.2215, loss_aux: 1.0363, loss: 4.1456
2023-02-02 22:45:49,358 - mmcls - INFO - Epoch [7][50/235]	lr: 2.407e-01, eta: 0:06:13, time: 0.022, data_time: 0.001, memory: 701, top-1: 41.0156, top-5: 67.5391, loss_main: 1.3663, loss_aux: 0.9875, loss: 4.0499
2023-02-02 22:45:49,579 - mmcls - INFO - Epoch [7][60/235]	lr: 2.406e-01, eta: 0:06:11, time: 0.022, data_time: 0.000, memory: 701, top-1: 46.0742, top-5: 75.3125, loss_main: 1.3994, loss_aux: 1.0829, loss: 3.5369
2023-02-02 22:45:49,787 - mmcls - INFO - Epoch [7][70/235]	lr: 2.404e-01, eta: 0:06:10, time: 0.021, data_time: 0.000, memory: 701, top-1: 47.7930, top-5: 73.7109, loss_main: 1.3666, loss_aux: 1.0656, loss: 3.4948
2023-02-02 22:45:49,996 - mmcls - INFO - Epoch [7][80/235]	lr: 2.403e-01, eta: 0:06:09, time: 0.021, data_time: 0.001, memory: 701, top-1: 46.2500, top-5: 72.2266, loss_main: 1.3137, loss_aux: 1.0578, loss: 3.3224
2023-02-02 22:45:50,206 - mmcls - INFO - Epoch [7][90/235]	lr: 2.402e-01, eta: 0:06:07, time: 0.021, data_time: 0.000, memory: 701, top-1: 31.3281, top-5: 57.1289, loss_main: 1.3155, loss_aux: 1.1799, loss: 5.1932
2023-02-02 22:45:50,427 - mmcls - INFO - Epoch [7][100/235]	lr: 2.400e-01, eta: 0:06:06, time: 0.022, data_time: 0.000, memory: 701, top-1: 35.5273, top-5: 54.8438, loss_main: 0.9671, loss_aux: 1.0641, loss: 4.2450
2023-02-02 22:45:50,631 - mmcls - INFO - Epoch [7][110/235]	lr: 2.399e-01, eta: 0:06:05, time: 0.020, data_time: 0.000, memory: 701, top-1: 43.7500, top-5: 70.6250, loss_main: 1.1618, loss_aux: 0.9839, loss: 3.8751
2023-02-02 22:45:50,847 - mmcls - INFO - Epoch [7][120/235]	lr: 2.398e-01, eta: 0:06:03, time: 0.022, data_time: 0.001, memory: 701, top-1: 29.3359, top-5: 51.0742, loss_main: 1.1056, loss_aux: 1.0918, loss: 4.8899
2023-02-02 22:45:51,055 - mmcls - INFO - Epoch [7][130/235]	lr: 2.397e-01, eta: 0:06:02, time: 0.021, data_time: 0.000, memory: 701, top-1: 46.6992, top-5: 75.1953, loss_main: 1.4582, loss_aux: 1.1247, loss: 3.5846
2023-02-02 22:45:51,274 - mmcls - INFO - Epoch [7][140/235]	lr: 2.395e-01, eta: 0:06:01, time: 0.022, data_time: 0.000, memory: 701, top-1: 41.2109, top-5: 65.0586, loss_main: 1.1069, loss_aux: 1.0558, loss: 3.8509
2023-02-02 22:45:51,488 - mmcls - INFO - Epoch [7][150/235]	lr: 2.394e-01, eta: 0:05:59, time: 0.021, data_time: 0.000, memory: 701, top-1: 28.9648, top-5: 49.6875, loss_main: 0.9806, loss_aux: 1.0950, loss: 4.8534
2023-02-02 22:45:51,707 - mmcls - INFO - Epoch [7][160/235]	lr: 2.393e-01, eta: 0:05:58, time: 0.022, data_time: 0.001, memory: 701, top-1: 34.4141, top-5: 60.8594, loss_main: 1.2601, loss_aux: 1.0643, loss: 4.7295
2023-02-02 22:45:51,917 - mmcls - INFO - Epoch [7][170/235]	lr: 2.391e-01, eta: 0:05:57, time: 0.021, data_time: 0.000, memory: 701, top-1: 48.8672, top-5: 76.2695, loss_main: 1.3189, loss_aux: 1.0905, loss: 3.7390
2023-02-02 22:45:52,128 - mmcls - INFO - Epoch [7][180/235]	lr: 2.390e-01, eta: 0:05:56, time: 0.021, data_time: 0.000, memory: 701, top-1: 38.2812, top-5: 64.1406, loss_main: 1.2756, loss_aux: 1.0904, loss: 4.2466
2023-02-02 22:45:52,343 - mmcls - INFO - Epoch [7][190/235]	lr: 2.388e-01, eta: 0:05:54, time: 0.021, data_time: 0.000, memory: 701, top-1: 32.6367, top-5: 54.0039, loss_main: 1.0012, loss_aux: 1.1162, loss: 4.5053
2023-02-02 22:45:52,551 - mmcls - INFO - Epoch [7][200/235]	lr: 2.387e-01, eta: 0:05:53, time: 0.021, data_time: 0.001, memory: 701, top-1: 36.5430, top-5: 59.9414, loss_main: 1.1132, loss_aux: 1.1829, loss: 4.1785
2023-02-02 22:45:52,772 - mmcls - INFO - Epoch [7][210/235]	lr: 2.386e-01, eta: 0:05:52, time: 0.022, data_time: 0.000, memory: 701, top-1: 30.0977, top-5: 51.3867, loss_main: 1.0753, loss_aux: 1.1680, loss: 4.7097
2023-02-02 22:45:52,994 - mmcls - INFO - Epoch [7][220/235]	lr: 2.384e-01, eta: 0:05:51, time: 0.022, data_time: 0.000, memory: 701, top-1: 48.2617, top-5: 77.3828, loss_main: 1.2108, loss_aux: 1.1682, loss: 3.5263
2023-02-02 22:45:53,196 - mmcls - INFO - Epoch [7][230/235]	lr: 2.383e-01, eta: 0:05:50, time: 0.020, data_time: 0.001, memory: 701, top-1: 50.1562, top-5: 76.2109, loss_main: 1.2371, loss_aux: 0.9503, loss: 3.0281
2023-02-02 22:45:53,281 - mmcls - INFO - Saving checkpoint at 7 epochs
2023-02-02 22:45:55,702 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:45:55,715 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_5.pth was removed
2023-02-02 22:45:55,961 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_7.pth.
2023-02-02 22:45:55,961 - mmcls - INFO - Best acc is 58.1833 at 7 epoch.
2023-02-02 22:45:55,961 - mmcls - INFO - Epoch(val) [7][12]	acc: 58.1833
2023-02-02 22:45:58,263 - mmcls - INFO - Epoch [8][10/235]	lr: 2.381e-01, eta: 0:06:00, time: 0.230, data_time: 0.205, memory: 701, top-1: 46.3867, top-5: 73.3984, loss_main: 1.3540, loss_aux: 1.0474, loss: 3.6163
2023-02-02 22:45:58,509 - mmcls - INFO - Epoch [8][20/235]	lr: 2.379e-01, eta: 0:05:59, time: 0.024, data_time: 0.000, memory: 701, top-1: 42.8320, top-5: 71.9336, loss_main: 1.3426, loss_aux: 1.0487, loss: 4.4493
2023-02-02 22:45:58,727 - mmcls - INFO - Epoch [8][30/235]	lr: 2.378e-01, eta: 0:05:58, time: 0.022, data_time: 0.001, memory: 701, top-1: 53.8281, top-5: 80.1172, loss_main: 1.3951, loss_aux: 0.9418, loss: 2.6911
2023-02-02 22:45:58,948 - mmcls - INFO - Epoch [8][40/235]	lr: 2.376e-01, eta: 0:05:57, time: 0.022, data_time: 0.000, memory: 701, top-1: 34.1211, top-5: 55.7031, loss_main: 1.1609, loss_aux: 0.9477, loss: 4.5248
2023-02-02 22:45:59,162 - mmcls - INFO - Epoch [8][50/235]	lr: 2.375e-01, eta: 0:05:55, time: 0.022, data_time: 0.001, memory: 701, top-1: 44.5117, top-5: 69.8828, loss_main: 1.2376, loss_aux: 0.9543, loss: 3.6384
2023-02-02 22:45:59,395 - mmcls - INFO - Epoch [8][60/235]	lr: 2.374e-01, eta: 0:05:54, time: 0.023, data_time: 0.000, memory: 701, top-1: 33.4961, top-5: 55.9766, loss_main: 1.0731, loss_aux: 0.9380, loss: 4.7590
2023-02-02 22:45:59,618 - mmcls - INFO - Epoch [8][70/235]	lr: 2.372e-01, eta: 0:05:53, time: 0.022, data_time: 0.001, memory: 701, top-1: 40.0977, top-5: 62.2266, loss_main: 0.8053, loss_aux: 0.9830, loss: 3.8967
2023-02-02 22:45:59,838 - mmcls - INFO - Epoch [8][80/235]	lr: 2.371e-01, eta: 0:05:52, time: 0.022, data_time: 0.001, memory: 701, top-1: 58.7500, top-5: 86.1133, loss_main: 1.1728, loss_aux: 0.7680, loss: 2.8337
2023-02-02 22:46:00,051 - mmcls - INFO - Epoch [8][90/235]	lr: 2.369e-01, eta: 0:05:51, time: 0.022, data_time: 0.001, memory: 701, top-1: 48.6914, top-5: 73.8281, loss_main: 1.1738, loss_aux: 0.9054, loss: 3.1506
2023-02-02 22:46:00,268 - mmcls - INFO - Epoch [8][100/235]	lr: 2.368e-01, eta: 0:05:50, time: 0.021, data_time: 0.000, memory: 701, top-1: 30.9570, top-5: 51.4258, loss_main: 1.1415, loss_aux: 1.1869, loss: 4.7689
2023-02-02 22:46:00,480 - mmcls - INFO - Epoch [8][110/235]	lr: 2.366e-01, eta: 0:05:49, time: 0.021, data_time: 0.001, memory: 701, top-1: 46.1719, top-5: 72.4219, loss_main: 1.2610, loss_aux: 1.1712, loss: 3.8653
2023-02-02 22:46:00,712 - mmcls - INFO - Epoch [8][120/235]	lr: 2.365e-01, eta: 0:05:48, time: 0.023, data_time: 0.000, memory: 701, top-1: 37.8320, top-5: 65.1172, loss_main: 1.2850, loss_aux: 1.0665, loss: 4.7119
2023-02-02 22:46:00,943 - mmcls - INFO - Epoch [8][130/235]	lr: 2.363e-01, eta: 0:05:47, time: 0.023, data_time: 0.001, memory: 701, top-1: 40.5859, top-5: 63.7695, loss_main: 1.1241, loss_aux: 0.8430, loss: 4.1738
2023-02-02 22:46:01,162 - mmcls - INFO - Epoch [8][140/235]	lr: 2.362e-01, eta: 0:05:46, time: 0.022, data_time: 0.001, memory: 701, top-1: 34.3359, top-5: 57.8711, loss_main: 1.1462, loss_aux: 1.0458, loss: 4.8723
2023-02-02 22:46:01,373 - mmcls - INFO - Epoch [8][150/235]	lr: 2.360e-01, eta: 0:05:45, time: 0.021, data_time: 0.000, memory: 701, top-1: 46.3672, top-5: 73.1641, loss_main: 1.2963, loss_aux: 1.0267, loss: 3.7748
2023-02-02 22:46:01,590 - mmcls - INFO - Epoch [8][160/235]	lr: 2.359e-01, eta: 0:05:43, time: 0.021, data_time: 0.000, memory: 701, top-1: 51.0156, top-5: 77.0312, loss_main: 1.1748, loss_aux: 0.9405, loss: 3.4628
2023-02-02 22:46:01,800 - mmcls - INFO - Epoch [8][170/235]	lr: 2.357e-01, eta: 0:05:42, time: 0.021, data_time: 0.001, memory: 701, top-1: 30.6055, top-5: 55.6641, loss_main: 1.3494, loss_aux: 1.1800, loss: 4.9128
2023-02-02 22:46:02,005 - mmcls - INFO - Epoch [8][180/235]	lr: 2.355e-01, eta: 0:05:41, time: 0.021, data_time: 0.000, memory: 701, top-1: 43.1445, top-5: 69.9609, loss_main: 1.3939, loss_aux: 1.1391, loss: 3.8284
2023-02-02 22:46:02,209 - mmcls - INFO - Epoch [8][190/235]	lr: 2.354e-01, eta: 0:05:40, time: 0.020, data_time: 0.000, memory: 701, top-1: 39.3164, top-5: 64.6094, loss_main: 1.2767, loss_aux: 0.9661, loss: 4.2729
2023-02-02 22:46:02,421 - mmcls - INFO - Epoch [8][200/235]	lr: 2.352e-01, eta: 0:05:39, time: 0.021, data_time: 0.001, memory: 701, top-1: 52.9297, top-5: 76.0156, loss_main: 1.0707, loss_aux: 0.7293, loss: 2.9209
2023-02-02 22:46:02,635 - mmcls - INFO - Epoch [8][210/235]	lr: 2.351e-01, eta: 0:05:38, time: 0.021, data_time: 0.001, memory: 701, top-1: 26.7188, top-5: 53.0859, loss_main: 1.3346, loss_aux: 1.1793, loss: 5.4420
2023-02-02 22:46:02,844 - mmcls - INFO - Epoch [8][220/235]	lr: 2.349e-01, eta: 0:05:37, time: 0.021, data_time: 0.001, memory: 701, top-1: 44.1211, top-5: 71.2109, loss_main: 1.2686, loss_aux: 0.8352, loss: 4.1744
2023-02-02 22:46:03,016 - mmcls - INFO - Epoch [8][230/235]	lr: 2.348e-01, eta: 0:05:36, time: 0.018, data_time: 0.001, memory: 701, top-1: 45.1953, top-5: 70.1758, loss_main: 1.2185, loss_aux: 0.8898, loss: 3.7773
2023-02-02 22:46:03,107 - mmcls - INFO - Saving checkpoint at 8 epochs
2023-02-02 22:46:05,551 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:46:05,552 - mmcls - INFO - Epoch(val) [8][12]	acc: 58.1000
2023-02-02 22:46:07,840 - mmcls - INFO - Epoch [9][10/235]	lr: 2.345e-01, eta: 0:05:45, time: 0.228, data_time: 0.206, memory: 701, top-1: 51.4844, top-5: 78.8867, loss_main: 1.3199, loss_aux: 0.9459, loss: 3.3147
2023-02-02 22:46:08,067 - mmcls - INFO - Epoch [9][20/235]	lr: 2.344e-01, eta: 0:05:44, time: 0.022, data_time: 0.000, memory: 701, top-1: 48.7109, top-5: 71.5430, loss_main: 1.0480, loss_aux: 0.9895, loss: 3.1707
2023-02-02 22:46:08,285 - mmcls - INFO - Epoch [9][30/235]	lr: 2.342e-01, eta: 0:05:43, time: 0.022, data_time: 0.001, memory: 701, top-1: 30.5469, top-5: 54.5508, loss_main: 1.1734, loss_aux: 1.0702, loss: 5.0894
2023-02-02 22:46:08,492 - mmcls - INFO - Epoch [9][40/235]	lr: 2.340e-01, eta: 0:05:41, time: 0.021, data_time: 0.001, memory: 701, top-1: 43.0078, top-5: 69.8633, loss_main: 1.2779, loss_aux: 1.1775, loss: 3.8925
2023-02-02 22:46:08,704 - mmcls - INFO - Epoch [9][50/235]	lr: 2.339e-01, eta: 0:05:40, time: 0.022, data_time: 0.001, memory: 701, top-1: 47.8125, top-5: 72.7539, loss_main: 1.1645, loss_aux: 0.9398, loss: 3.4093
2023-02-02 22:46:08,917 - mmcls - INFO - Epoch [9][60/235]	lr: 2.337e-01, eta: 0:05:39, time: 0.021, data_time: 0.000, memory: 701, top-1: 28.2227, top-5: 50.6445, loss_main: 1.1884, loss_aux: 1.0855, loss: 4.9664
2023-02-02 22:46:09,151 - mmcls - INFO - Epoch [9][70/235]	lr: 2.335e-01, eta: 0:05:38, time: 0.023, data_time: 0.001, memory: 701, top-1: 45.5273, top-5: 69.0625, loss_main: 1.0417, loss_aux: 0.8900, loss: 3.6719
2023-02-02 22:46:09,577 - mmcls - INFO - Epoch [9][80/235]	lr: 2.334e-01, eta: 0:05:39, time: 0.043, data_time: 0.001, memory: 701, top-1: 49.6875, top-5: 75.3906, loss_main: 1.1843, loss_aux: 0.9648, loss: 3.3467
2023-02-02 22:46:09,924 - mmcls - INFO - Epoch [9][90/235]	lr: 2.332e-01, eta: 0:05:38, time: 0.034, data_time: 0.001, memory: 701, top-1: 39.8828, top-5: 63.6914, loss_main: 1.1722, loss_aux: 1.0595, loss: 4.1733
2023-02-02 22:46:10,368 - mmcls - INFO - Epoch [9][100/235]	lr: 2.330e-01, eta: 0:05:38, time: 0.043, data_time: 0.001, memory: 701, top-1: 44.9023, top-5: 70.5273, loss_main: 1.1642, loss_aux: 1.0384, loss: 3.8503
2023-02-02 22:46:10,758 - mmcls - INFO - Epoch [9][110/235]	lr: 2.329e-01, eta: 0:05:38, time: 0.040, data_time: 0.002, memory: 701, top-1: 45.6445, top-5: 69.7461, loss_main: 1.1202, loss_aux: 0.9284, loss: 3.7758
2023-02-02 22:46:11,074 - mmcls - INFO - Epoch [9][120/235]	lr: 2.327e-01, eta: 0:05:38, time: 0.032, data_time: 0.001, memory: 701, top-1: 40.9570, top-5: 61.5039, loss_main: 0.9847, loss_aux: 0.9724, loss: 3.7681
2023-02-02 22:46:11,313 - mmcls - INFO - Epoch [9][130/235]	lr: 2.325e-01, eta: 0:05:37, time: 0.024, data_time: 0.001, memory: 701, top-1: 49.8047, top-5: 77.3633, loss_main: 1.1431, loss_aux: 1.0429, loss: 3.5925
2023-02-02 22:46:11,564 - mmcls - INFO - Epoch [9][140/235]	lr: 2.324e-01, eta: 0:05:36, time: 0.025, data_time: 0.000, memory: 701, top-1: 32.5977, top-5: 56.5820, loss_main: 1.2616, loss_aux: 1.1297, loss: 4.8810
2023-02-02 22:46:11,811 - mmcls - INFO - Epoch [9][150/235]	lr: 2.322e-01, eta: 0:05:35, time: 0.024, data_time: 0.001, memory: 701, top-1: 32.9297, top-5: 53.5938, loss_main: 1.0526, loss_aux: 1.0117, loss: 4.6009
2023-02-02 22:46:12,053 - mmcls - INFO - Epoch [9][160/235]	lr: 2.320e-01, eta: 0:05:34, time: 0.025, data_time: 0.001, memory: 701, top-1: 45.6055, top-5: 65.6836, loss_main: 0.9037, loss_aux: 0.6992, loss: 3.5699
2023-02-02 22:46:12,309 - mmcls - INFO - Epoch [9][170/235]	lr: 2.319e-01, eta: 0:05:34, time: 0.026, data_time: 0.001, memory: 701, top-1: 36.5234, top-5: 60.5859, loss_main: 1.3090, loss_aux: 0.9451, loss: 4.7779
2023-02-02 22:46:12,543 - mmcls - INFO - Epoch [9][180/235]	lr: 2.317e-01, eta: 0:05:33, time: 0.024, data_time: 0.001, memory: 701, top-1: 51.4453, top-5: 76.6602, loss_main: 1.0942, loss_aux: 0.7813, loss: 3.0688
2023-02-02 22:46:12,779 - mmcls - INFO - Epoch [9][190/235]	lr: 2.315e-01, eta: 0:05:32, time: 0.023, data_time: 0.000, memory: 701, top-1: 42.8320, top-5: 69.2188, loss_main: 1.1911, loss_aux: 1.0007, loss: 3.9472
2023-02-02 22:46:13,031 - mmcls - INFO - Epoch [9][200/235]	lr: 2.313e-01, eta: 0:05:31, time: 0.025, data_time: 0.001, memory: 701, top-1: 37.8516, top-5: 62.2461, loss_main: 1.2107, loss_aux: 1.0515, loss: 4.4285
2023-02-02 22:46:13,284 - mmcls - INFO - Epoch [9][210/235]	lr: 2.312e-01, eta: 0:05:30, time: 0.025, data_time: 0.001, memory: 701, top-1: 39.6484, top-5: 62.6953, loss_main: 1.2106, loss_aux: 0.8271, loss: 4.2841
2023-02-02 22:46:13,514 - mmcls - INFO - Epoch [9][220/235]	lr: 2.310e-01, eta: 0:05:30, time: 0.023, data_time: 0.001, memory: 701, top-1: 24.0234, top-5: 43.5938, loss_main: 0.9766, loss_aux: 1.0971, loss: 5.1299
2023-02-02 22:46:13,722 - mmcls - INFO - Epoch [9][230/235]	lr: 2.308e-01, eta: 0:05:29, time: 0.021, data_time: 0.000, memory: 701, top-1: 44.5117, top-5: 71.6016, loss_main: 1.2123, loss_aux: 1.0080, loss: 4.0052
2023-02-02 22:46:13,828 - mmcls - INFO - Saving checkpoint at 9 epochs
2023-02-02 22:46:16,274 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:46:16,287 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_7.pth was removed
2023-02-02 22:46:16,553 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_9.pth.
2023-02-02 22:46:16,553 - mmcls - INFO - Best acc is 61.5833 at 9 epoch.
2023-02-02 22:46:16,554 - mmcls - INFO - Epoch(val) [9][12]	acc: 61.5833
2023-02-02 22:46:18,823 - mmcls - INFO - Epoch [10][10/235]	lr: 2.305e-01, eta: 0:05:36, time: 0.227, data_time: 0.204, memory: 701, top-1: 41.3867, top-5: 62.9492, loss_main: 1.0990, loss_aux: 0.8341, loss: 4.1127
2023-02-02 22:46:19,227 - mmcls - INFO - Epoch [10][20/235]	lr: 2.304e-01, eta: 0:05:36, time: 0.039, data_time: 0.000, memory: 701, top-1: 53.5352, top-5: 77.9883, loss_main: 1.0238, loss_aux: 0.7666, loss: 3.2224
2023-02-02 22:46:20,013 - mmcls - INFO - Epoch [10][30/235]	lr: 2.302e-01, eta: 0:05:37, time: 0.080, data_time: 0.002, memory: 701, top-1: 34.3945, top-5: 56.7969, loss_main: 1.0396, loss_aux: 1.0243, loss: 4.5402
2023-02-02 22:46:20,224 - mmcls - INFO - Epoch [10][40/235]	lr: 2.300e-01, eta: 0:05:37, time: 0.021, data_time: 0.000, memory: 701, top-1: 47.6758, top-5: 73.9258, loss_main: 1.0329, loss_aux: 1.0852, loss: 3.4956
2023-02-02 22:46:20,443 - mmcls - INFO - Epoch [10][50/235]	lr: 2.298e-01, eta: 0:05:36, time: 0.022, data_time: 0.000, memory: 701, top-1: 47.2461, top-5: 71.2109, loss_main: 1.1820, loss_aux: 0.8181, loss: 3.5659
2023-02-02 22:46:20,673 - mmcls - INFO - Epoch [10][60/235]	lr: 2.296e-01, eta: 0:05:35, time: 0.023, data_time: 0.000, memory: 701, top-1: 49.1211, top-5: 73.1836, loss_main: 1.1142, loss_aux: 0.9887, loss: 3.4337
2023-02-02 22:46:20,972 - mmcls - INFO - Epoch [10][70/235]	lr: 2.295e-01, eta: 0:05:34, time: 0.028, data_time: 0.001, memory: 701, top-1: 50.2539, top-5: 72.7930, loss_main: 0.9232, loss_aux: 0.6593, loss: 3.1500
2023-02-02 22:46:21,675 - mmcls - INFO - Epoch [10][80/235]	lr: 2.293e-01, eta: 0:05:35, time: 0.072, data_time: 0.003, memory: 701, top-1: 48.5352, top-5: 73.6719, loss_main: 1.1219, loss_aux: 0.7422, loss: 3.5257
2023-02-02 22:46:22,395 - mmcls - INFO - Epoch [10][90/235]	lr: 2.291e-01, eta: 0:05:36, time: 0.068, data_time: 0.001, memory: 701, top-1: 44.2969, top-5: 74.4922, loss_main: 1.3710, loss_aux: 0.9739, loss: 4.0130
2023-02-02 22:46:23,164 - mmcls - INFO - Epoch [10][100/235]	lr: 2.289e-01, eta: 0:05:38, time: 0.079, data_time: 0.005, memory: 701, top-1: 44.5508, top-5: 70.8008, loss_main: 1.3119, loss_aux: 0.9739, loss: 3.8374
2023-02-02 22:46:23,818 - mmcls - INFO - Epoch [10][110/235]	lr: 2.287e-01, eta: 0:05:39, time: 0.066, data_time: 0.003, memory: 701, top-1: 55.5273, top-5: 82.4023, loss_main: 1.2726, loss_aux: 0.9070, loss: 2.8758
2023-02-02 22:46:24,417 - mmcls - INFO - Epoch [10][120/235]	lr: 2.285e-01, eta: 0:05:40, time: 0.060, data_time: 0.002, memory: 701, top-1: 39.4727, top-5: 61.0547, loss_main: 1.2549, loss_aux: 1.0785, loss: 3.9895
2023-02-02 22:46:25,253 - mmcls - INFO - Epoch [10][130/235]	lr: 2.284e-01, eta: 0:05:41, time: 0.082, data_time: 0.002, memory: 701, top-1: 42.2070, top-5: 62.6953, loss_main: 1.0222, loss_aux: 0.7631, loss: 3.7149
2023-02-02 22:46:25,981 - mmcls - INFO - Epoch [10][140/235]	lr: 2.282e-01, eta: 0:05:42, time: 0.074, data_time: 0.004, memory: 701, top-1: 47.2070, top-5: 71.8555, loss_main: 1.0430, loss_aux: 0.9176, loss: 3.5227
2023-02-02 22:46:26,768 - mmcls - INFO - Epoch [10][150/235]	lr: 2.280e-01, eta: 0:05:44, time: 0.078, data_time: 0.003, memory: 701, top-1: 34.2188, top-5: 57.5000, loss_main: 1.1030, loss_aux: 0.9370, loss: 4.4930
2023-02-02 22:46:27,525 - mmcls - INFO - Epoch [10][160/235]	lr: 2.278e-01, eta: 0:05:45, time: 0.076, data_time: 0.003, memory: 701, top-1: 53.4375, top-5: 80.7031, loss_main: 1.1970, loss_aux: 0.9328, loss: 3.2309
2023-02-02 22:46:28,314 - mmcls - INFO - Epoch [10][170/235]	lr: 2.276e-01, eta: 0:05:46, time: 0.080, data_time: 0.003, memory: 701, top-1: 44.6094, top-5: 67.6758, loss_main: 1.0525, loss_aux: 0.8319, loss: 3.9347
2023-02-02 22:46:29,059 - mmcls - INFO - Epoch [10][180/235]	lr: 2.274e-01, eta: 0:05:48, time: 0.074, data_time: 0.002, memory: 701, top-1: 37.5781, top-5: 61.1523, loss_main: 1.0681, loss_aux: 0.9271, loss: 4.4984
2023-02-02 22:46:29,779 - mmcls - INFO - Epoch [10][190/235]	lr: 2.272e-01, eta: 0:05:48, time: 0.065, data_time: 0.003, memory: 701, top-1: 49.5703, top-5: 74.3750, loss_main: 1.1561, loss_aux: 1.1334, loss: 3.3613
2023-02-02 22:46:30,455 - mmcls - INFO - Epoch [10][200/235]	lr: 2.270e-01, eta: 0:05:49, time: 0.071, data_time: 0.009, memory: 701, top-1: 42.1289, top-5: 68.0078, loss_main: 1.1486, loss_aux: 1.1026, loss: 4.0322
2023-02-02 22:46:31,146 - mmcls - INFO - Epoch [10][210/235]	lr: 2.268e-01, eta: 0:05:50, time: 0.071, data_time: 0.006, memory: 701, top-1: 55.0586, top-5: 82.0703, loss_main: 1.1470, loss_aux: 0.9091, loss: 2.8448
2023-02-02 22:46:31,826 - mmcls - INFO - Epoch [10][220/235]	lr: 2.266e-01, eta: 0:05:51, time: 0.069, data_time: 0.004, memory: 701, top-1: 50.0391, top-5: 76.1914, loss_main: 1.1642, loss_aux: 0.8522, loss: 3.5301
2023-02-02 22:46:32,630 - mmcls - INFO - Epoch [10][230/235]	lr: 2.264e-01, eta: 0:05:53, time: 0.081, data_time: 0.003, memory: 701, top-1: 43.0859, top-5: 67.1289, loss_main: 1.0384, loss_aux: 1.0466, loss: 4.3219
2023-02-02 22:46:32,942 - mmcls - INFO - Saving checkpoint at 10 epochs
2023-02-02 22:46:35,440 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:46:35,453 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_9.pth was removed
2023-02-02 22:46:35,684 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_10.pth.
2023-02-02 22:46:35,684 - mmcls - INFO - Best acc is 62.6333 at 10 epoch.
2023-02-02 22:46:35,684 - mmcls - INFO - Epoch(val) [10][12]	acc: 62.6333
2023-02-02 22:46:38,363 - mmcls - INFO - Epoch [11][10/235]	lr: 2.262e-01, eta: 0:06:00, time: 0.264, data_time: 0.206, memory: 701, top-1: 40.9375, top-5: 66.8945, loss_main: 1.2979, loss_aux: 1.2070, loss: 3.9973
2023-02-02 22:46:39,057 - mmcls - INFO - Epoch [11][20/235]	lr: 2.260e-01, eta: 0:06:01, time: 0.072, data_time: 0.004, memory: 701, top-1: 40.5273, top-5: 65.3125, loss_main: 1.2113, loss_aux: 1.1395, loss: 4.1412
2023-02-02 22:46:39,883 - mmcls - INFO - Epoch [11][30/235]	lr: 2.258e-01, eta: 0:06:03, time: 0.082, data_time: 0.001, memory: 701, top-1: 44.1406, top-5: 68.5156, loss_main: 1.1181, loss_aux: 0.8679, loss: 4.1426
2023-02-02 22:46:40,513 - mmcls - INFO - Epoch [11][40/235]	lr: 2.256e-01, eta: 0:06:03, time: 0.064, data_time: 0.002, memory: 701, top-1: 41.6211, top-5: 65.5664, loss_main: 1.1899, loss_aux: 1.0385, loss: 3.9887
2023-02-02 22:46:41,202 - mmcls - INFO - Epoch [11][50/235]	lr: 2.254e-01, eta: 0:06:04, time: 0.068, data_time: 0.001, memory: 701, top-1: 57.5195, top-5: 83.3984, loss_main: 1.2747, loss_aux: 1.1411, loss: 2.7784
2023-02-02 22:46:41,921 - mmcls - INFO - Epoch [11][60/235]	lr: 2.252e-01, eta: 0:06:05, time: 0.071, data_time: 0.002, memory: 701, top-1: 55.9180, top-5: 79.8633, loss_main: 1.1385, loss_aux: 0.7693, loss: 2.8549
2023-02-02 22:46:42,657 - mmcls - INFO - Epoch [11][70/235]	lr: 2.250e-01, eta: 0:06:06, time: 0.073, data_time: 0.003, memory: 701, top-1: 54.0820, top-5: 76.6797, loss_main: 1.0985, loss_aux: 0.7550, loss: 3.1589
2023-02-02 22:46:43,322 - mmcls - INFO - Epoch [11][80/235]	lr: 2.248e-01, eta: 0:06:07, time: 0.069, data_time: 0.003, memory: 701, top-1: 55.3711, top-5: 81.7578, loss_main: 1.1249, loss_aux: 0.7443, loss: 3.1280
2023-02-02 22:46:44,150 - mmcls - INFO - Epoch [11][90/235]	lr: 2.246e-01, eta: 0:06:08, time: 0.082, data_time: 0.001, memory: 701, top-1: 40.4688, top-5: 63.8867, loss_main: 1.1241, loss_aux: 0.9518, loss: 4.1579
2023-02-02 22:46:44,853 - mmcls - INFO - Epoch [11][100/235]	lr: 2.244e-01, eta: 0:06:09, time: 0.069, data_time: 0.002, memory: 701, top-1: 49.9609, top-5: 74.8242, loss_main: 1.1603, loss_aux: 1.0968, loss: 3.5609
2023-02-02 22:46:45,508 - mmcls - INFO - Epoch [11][110/235]	lr: 2.242e-01, eta: 0:06:09, time: 0.067, data_time: 0.003, memory: 701, top-1: 52.4805, top-5: 77.7148, loss_main: 1.0639, loss_aux: 1.1138, loss: 3.2654
2023-02-02 22:46:46,196 - mmcls - INFO - Epoch [11][120/235]	lr: 2.240e-01, eta: 0:06:10, time: 0.067, data_time: 0.002, memory: 701, top-1: 36.2305, top-5: 60.9570, loss_main: 1.2343, loss_aux: 1.2185, loss: 4.4755
2023-02-02 22:46:47,074 - mmcls - INFO - Epoch [11][130/235]	lr: 2.238e-01, eta: 0:06:11, time: 0.086, data_time: 0.003, memory: 701, top-1: 51.4648, top-5: 75.1367, loss_main: 1.1286, loss_aux: 0.8991, loss: 3.1002
2023-02-02 22:46:47,900 - mmcls - INFO - Epoch [11][140/235]	lr: 2.236e-01, eta: 0:06:12, time: 0.085, data_time: 0.005, memory: 701, top-1: 40.8984, top-5: 68.1641, loss_main: 1.2864, loss_aux: 1.0520, loss: 4.1799
2023-02-02 22:46:48,837 - mmcls - INFO - Epoch [11][150/235]	lr: 2.233e-01, eta: 0:06:14, time: 0.093, data_time: 0.003, memory: 701, top-1: 41.0352, top-5: 65.0195, loss_main: 1.1538, loss_aux: 1.0701, loss: 4.0650
2023-02-02 22:46:49,680 - mmcls - INFO - Epoch [11][160/235]	lr: 2.231e-01, eta: 0:06:15, time: 0.083, data_time: 0.003, memory: 701, top-1: 39.3555, top-5: 64.3164, loss_main: 1.1000, loss_aux: 1.0094, loss: 4.4711
2023-02-02 22:46:50,405 - mmcls - INFO - Epoch [11][170/235]	lr: 2.229e-01, eta: 0:06:16, time: 0.074, data_time: 0.004, memory: 701, top-1: 47.8711, top-5: 73.3789, loss_main: 1.1566, loss_aux: 0.9177, loss: 4.0015
2023-02-02 22:46:51,109 - mmcls - INFO - Epoch [11][180/235]	lr: 2.227e-01, eta: 0:06:17, time: 0.069, data_time: 0.002, memory: 701, top-1: 39.9414, top-5: 58.2031, loss_main: 0.8263, loss_aux: 0.7250, loss: 3.8329
2023-02-02 22:46:51,853 - mmcls - INFO - Epoch [11][190/235]	lr: 2.225e-01, eta: 0:06:17, time: 0.075, data_time: 0.004, memory: 701, top-1: 41.8164, top-5: 59.6680, loss_main: 0.7611, loss_aux: 0.7988, loss: 3.6622
2023-02-02 22:46:52,507 - mmcls - INFO - Epoch [11][200/235]	lr: 2.223e-01, eta: 0:06:18, time: 0.067, data_time: 0.003, memory: 701, top-1: 56.9922, top-5: 81.8750, loss_main: 0.9449, loss_aux: 1.0018, loss: 2.8235
2023-02-02 22:46:53,245 - mmcls - INFO - Epoch [11][210/235]	lr: 2.221e-01, eta: 0:06:19, time: 0.072, data_time: 0.001, memory: 701, top-1: 34.8438, top-5: 58.5938, loss_main: 1.1277, loss_aux: 1.0723, loss: 4.4542
2023-02-02 22:46:53,996 - mmcls - INFO - Epoch [11][220/235]	lr: 2.219e-01, eta: 0:06:19, time: 0.077, data_time: 0.004, memory: 701, top-1: 33.6914, top-5: 55.4492, loss_main: 0.9880, loss_aux: 1.0374, loss: 4.5546
2023-02-02 22:46:54,626 - mmcls - INFO - Epoch [11][230/235]	lr: 2.217e-01, eta: 0:06:20, time: 0.063, data_time: 0.002, memory: 701, top-1: 40.3906, top-5: 61.4453, loss_main: 0.8946, loss_aux: 0.9647, loss: 3.8111
2023-02-02 22:46:54,872 - mmcls - INFO - Saving checkpoint at 11 epochs
2023-02-02 22:46:57,362 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:46:57,376 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_10.pth was removed
2023-02-02 22:46:57,601 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_11.pth.
2023-02-02 22:46:57,601 - mmcls - INFO - Best acc is 64.9500 at 11 epoch.
2023-02-02 22:46:57,601 - mmcls - INFO - Epoch(val) [11][12]	acc: 64.9500
2023-02-02 22:47:00,882 - mmcls - INFO - Epoch [12][10/235]	lr: 2.214e-01, eta: 0:06:29, time: 0.326, data_time: 0.206, memory: 701, loss: 3.7157, top-1: 45.6250, top-5: 71.6016, loss_main: 1.0848, loss_aux: 0.9996
2023-02-02 22:47:01,789 - mmcls - INFO - Epoch [12][20/235]	lr: 2.212e-01, eta: 0:06:30, time: 0.091, data_time: 0.002, memory: 701, loss: 4.7526, top-1: 33.1445, top-5: 55.0391, loss_main: 1.1680, loss_aux: 1.0720
2023-02-02 22:47:02,445 - mmcls - INFO - Epoch [12][30/235]	lr: 2.209e-01, eta: 0:06:30, time: 0.064, data_time: 0.002, memory: 701, loss: 4.0866, top-1: 41.4062, top-5: 64.7266, loss_main: 1.1442, loss_aux: 0.8913
2023-02-02 22:47:03,723 - mmcls - INFO - Epoch [12][40/235]	lr: 2.207e-01, eta: 0:06:33, time: 0.124, data_time: 0.003, memory: 701, loss: 4.2348, top-1: 41.0938, top-5: 64.9609, loss_main: 1.1879, loss_aux: 1.1504
2023-02-02 22:47:04,936 - mmcls - INFO - Epoch [12][50/235]	lr: 2.205e-01, eta: 0:06:35, time: 0.123, data_time: 0.007, memory: 701, loss: 4.2808, top-1: 36.1719, top-5: 58.7109, loss_main: 1.0347, loss_aux: 1.1227
2023-02-02 22:47:06,028 - mmcls - INFO - Epoch [12][60/235]	lr: 2.203e-01, eta: 0:06:37, time: 0.111, data_time: 0.005, memory: 701, loss: 3.7286, top-1: 44.6484, top-5: 67.6953, loss_main: 1.2586, loss_aux: 1.0042
2023-02-02 22:47:07,105 - mmcls - INFO - Epoch [12][70/235]	lr: 2.201e-01, eta: 0:06:38, time: 0.104, data_time: 0.003, memory: 701, loss: 3.9346, top-1: 44.5898, top-5: 66.9922, loss_main: 1.0984, loss_aux: 0.9135
2023-02-02 22:47:08,116 - mmcls - INFO - Epoch [12][80/235]	lr: 2.199e-01, eta: 0:06:40, time: 0.106, data_time: 0.007, memory: 701, loss: 3.5405, top-1: 48.7891, top-5: 74.4727, loss_main: 1.0165, loss_aux: 0.8322
2023-02-02 22:47:09,167 - mmcls - INFO - Epoch [12][90/235]	lr: 2.196e-01, eta: 0:06:42, time: 0.102, data_time: 0.002, memory: 701, loss: 4.2392, top-1: 40.9375, top-5: 67.6367, loss_main: 1.2030, loss_aux: 1.0806
2023-02-02 22:47:10,141 - mmcls - INFO - Epoch [12][100/235]	lr: 2.194e-01, eta: 0:06:43, time: 0.092, data_time: 0.005, memory: 701, loss: 3.1300, top-1: 53.4766, top-5: 76.8750, loss_main: 1.1596, loss_aux: 0.8538
2023-02-02 22:47:11,327 - mmcls - INFO - Epoch [12][110/235]	lr: 2.192e-01, eta: 0:06:45, time: 0.117, data_time: 0.010, memory: 701, loss: 3.4749, top-1: 49.5898, top-5: 74.5117, loss_main: 1.3055, loss_aux: 1.1182
2023-02-02 22:47:12,192 - mmcls - INFO - Epoch [12][120/235]	lr: 2.190e-01, eta: 0:06:46, time: 0.094, data_time: 0.011, memory: 701, loss: 3.9699, top-1: 42.5391, top-5: 65.0977, loss_main: 1.1484, loss_aux: 1.0588
2023-02-02 22:47:13,088 - mmcls - INFO - Epoch [12][130/235]	lr: 2.188e-01, eta: 0:06:47, time: 0.087, data_time: 0.003, memory: 701, loss: 3.1838, top-1: 50.7422, top-5: 74.6289, loss_main: 1.1006, loss_aux: 1.1115
2023-02-02 22:47:13,996 - mmcls - INFO - Epoch [12][140/235]	lr: 2.186e-01, eta: 0:06:48, time: 0.092, data_time: 0.006, memory: 701, loss: 3.6369, top-1: 45.6641, top-5: 68.3984, loss_main: 1.0119, loss_aux: 0.9746
2023-02-02 22:47:14,722 - mmcls - INFO - Epoch [12][150/235]	lr: 2.183e-01, eta: 0:06:49, time: 0.075, data_time: 0.005, memory: 701, loss: 3.1559, top-1: 52.8125, top-5: 77.0312, loss_main: 1.0303, loss_aux: 0.9826
2023-02-02 22:47:15,521 - mmcls - INFO - Epoch [12][160/235]	lr: 2.181e-01, eta: 0:06:49, time: 0.081, data_time: 0.003, memory: 701, loss: 4.3865, top-1: 35.1562, top-5: 56.4453, loss_main: 1.0103, loss_aux: 1.0736
2023-02-02 22:47:16,136 - mmcls - INFO - Epoch [12][170/235]	lr: 2.179e-01, eta: 0:06:49, time: 0.060, data_time: 0.002, memory: 701, loss: 3.0806, top-1: 54.8438, top-5: 77.3242, loss_main: 1.1045, loss_aux: 1.0261
2023-02-02 22:47:17,048 - mmcls - INFO - Epoch [12][180/235]	lr: 2.177e-01, eta: 0:06:50, time: 0.093, data_time: 0.003, memory: 701, loss: 3.4722, top-1: 54.7070, top-5: 82.4219, loss_main: 1.1079, loss_aux: 0.8486
2023-02-02 22:47:17,526 - mmcls - INFO - Epoch [12][190/235]	lr: 2.174e-01, eta: 0:06:50, time: 0.049, data_time: 0.001, memory: 701, loss: 4.5612, top-1: 40.1562, top-5: 67.2852, loss_main: 1.1826, loss_aux: 1.1208
2023-02-02 22:47:17,741 - mmcls - INFO - Epoch [12][200/235]	lr: 2.172e-01, eta: 0:06:49, time: 0.021, data_time: 0.000, memory: 701, loss: 4.8779, top-1: 27.8906, top-5: 46.7969, loss_main: 0.9316, loss_aux: 1.1040
2023-02-02 22:47:17,974 - mmcls - INFO - Epoch [12][210/235]	lr: 2.170e-01, eta: 0:06:48, time: 0.024, data_time: 0.001, memory: 701, loss: 3.6915, top-1: 41.3281, top-5: 59.7461, loss_main: 0.8253, loss_aux: 0.8286
2023-02-02 22:47:18,194 - mmcls - INFO - Epoch [12][220/235]	lr: 2.168e-01, eta: 0:06:46, time: 0.022, data_time: 0.001, memory: 701, loss: 3.2353, top-1: 49.9609, top-5: 69.3359, loss_main: 0.7951, loss_aux: 0.9460
2023-02-02 22:47:18,362 - mmcls - INFO - Epoch [12][230/235]	lr: 2.165e-01, eta: 0:06:45, time: 0.017, data_time: 0.000, memory: 701, loss: 3.2546, top-1: 49.3164, top-5: 70.8789, loss_main: 0.8902, loss_aux: 0.9130
2023-02-02 22:47:18,452 - mmcls - INFO - Saving checkpoint at 12 epochs
2023-02-02 22:47:21,079 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:47:21,080 - mmcls - INFO - Epoch(val) [12][12]	acc: 60.7833
2023-02-02 22:47:23,641 - mmcls - INFO - Epoch [13][10/235]	lr: 2.162e-01, eta: 0:06:50, time: 0.253, data_time: 0.205, memory: 701, top-1: 38.5938, top-5: 63.7109, loss_main: 1.2949, loss_aux: 1.1617, loss: 4.6306
2023-02-02 22:47:24,570 - mmcls - INFO - Epoch [13][20/235]	lr: 2.160e-01, eta: 0:06:51, time: 0.095, data_time: 0.004, memory: 701, top-1: 46.3281, top-5: 72.6367, loss_main: 1.0507, loss_aux: 0.9689, loss: 3.8333
2023-02-02 22:47:25,264 - mmcls - INFO - Epoch [13][30/235]	lr: 2.157e-01, eta: 0:06:51, time: 0.069, data_time: 0.002, memory: 701, top-1: 46.8945, top-5: 71.9336, loss_main: 1.2242, loss_aux: 1.0627, loss: 3.7466
2023-02-02 22:47:25,995 - mmcls - INFO - Epoch [13][40/235]	lr: 2.155e-01, eta: 0:06:52, time: 0.073, data_time: 0.002, memory: 701, top-1: 45.9766, top-5: 68.6133, loss_main: 0.9979, loss_aux: 0.8756, loss: 3.9004
2023-02-02 22:47:27,202 - mmcls - INFO - Epoch [13][50/235]	lr: 2.153e-01, eta: 0:06:53, time: 0.113, data_time: 0.003, memory: 701, top-1: 35.8203, top-5: 58.8086, loss_main: 1.1202, loss_aux: 1.1208, loss: 4.6272
2023-02-02 22:47:28,436 - mmcls - INFO - Epoch [13][60/235]	lr: 2.151e-01, eta: 0:06:55, time: 0.124, data_time: 0.010, memory: 701, top-1: 45.4102, top-5: 69.9023, loss_main: 1.1355, loss_aux: 1.0662, loss: 3.8864
2023-02-02 22:47:29,587 - mmcls - INFO - Epoch [13][70/235]	lr: 2.148e-01, eta: 0:06:57, time: 0.114, data_time: 0.010, memory: 701, top-1: 35.7227, top-5: 58.8086, loss_main: 1.1023, loss_aux: 1.0921, loss: 4.5364
2023-02-02 22:47:30,736 - mmcls - INFO - Epoch [13][80/235]	lr: 2.146e-01, eta: 0:06:59, time: 0.122, data_time: 0.010, memory: 701, top-1: 38.6133, top-5: 64.4141, loss_main: 1.2050, loss_aux: 1.2028, loss: 4.3577
2023-02-02 22:47:32,024 - mmcls - INFO - Epoch [13][90/235]	lr: 2.144e-01, eta: 0:07:01, time: 0.126, data_time: 0.003, memory: 701, top-1: 40.9180, top-5: 60.0586, loss_main: 0.9934, loss_aux: 0.8527, loss: 4.0526
2023-02-02 22:47:32,921 - mmcls - INFO - Epoch [13][100/235]	lr: 2.141e-01, eta: 0:07:02, time: 0.094, data_time: 0.006, memory: 701, top-1: 46.6016, top-5: 71.4258, loss_main: 1.1376, loss_aux: 0.9417, loss: 3.9396
2023-02-02 22:47:33,875 - mmcls - INFO - Epoch [13][110/235]	lr: 2.139e-01, eta: 0:07:02, time: 0.091, data_time: 0.001, memory: 701, top-1: 38.0078, top-5: 60.3516, loss_main: 1.1621, loss_aux: 1.0324, loss: 4.1742
2023-02-02 22:47:34,959 - mmcls - INFO - Epoch [13][120/235]	lr: 2.137e-01, eta: 0:07:04, time: 0.110, data_time: 0.006, memory: 701, top-1: 58.1836, top-5: 81.4453, loss_main: 1.0211, loss_aux: 0.6946, loss: 3.0119
2023-02-02 22:47:35,848 - mmcls - INFO - Epoch [13][130/235]	lr: 2.134e-01, eta: 0:07:05, time: 0.090, data_time: 0.004, memory: 701, top-1: 48.0469, top-5: 74.4336, loss_main: 1.1783, loss_aux: 1.0653, loss: 3.4830
2023-02-02 22:47:37,147 - mmcls - INFO - Epoch [13][140/235]	lr: 2.132e-01, eta: 0:07:06, time: 0.122, data_time: 0.003, memory: 701, top-1: 41.8164, top-5: 66.1719, loss_main: 1.1808, loss_aux: 1.1030, loss: 4.0137
2023-02-02 22:47:38,198 - mmcls - INFO - Epoch [13][150/235]	lr: 2.130e-01, eta: 0:07:08, time: 0.115, data_time: 0.011, memory: 701, top-1: 54.3164, top-5: 79.0625, loss_main: 1.1015, loss_aux: 1.0550, loss: 2.8887
2023-02-02 22:47:38,999 - mmcls - INFO - Epoch [13][160/235]	lr: 2.127e-01, eta: 0:07:08, time: 0.078, data_time: 0.001, memory: 701, top-1: 46.0352, top-5: 69.3359, loss_main: 0.9895, loss_aux: 1.0132, loss: 3.9115
2023-02-02 22:47:39,683 - mmcls - INFO - Epoch [13][170/235]	lr: 2.125e-01, eta: 0:07:08, time: 0.069, data_time: 0.004, memory: 701, top-1: 34.5312, top-5: 56.5820, loss_main: 1.0254, loss_aux: 0.9921, loss: 4.2571
2023-02-02 22:47:40,751 - mmcls - INFO - Epoch [13][180/235]	lr: 2.122e-01, eta: 0:07:09, time: 0.103, data_time: 0.003, memory: 701, top-1: 46.2695, top-5: 70.1758, loss_main: 1.0922, loss_aux: 1.0268, loss: 3.7689
2023-02-02 22:47:41,436 - mmcls - INFO - Epoch [13][190/235]	lr: 2.120e-01, eta: 0:07:09, time: 0.072, data_time: 0.007, memory: 701, top-1: 50.2148, top-5: 72.9688, loss_main: 1.0025, loss_aux: 0.8775, loss: 3.2984
2023-02-02 22:47:42,053 - mmcls - INFO - Epoch [13][200/235]	lr: 2.118e-01, eta: 0:07:09, time: 0.064, data_time: 0.004, memory: 701, top-1: 30.4492, top-5: 50.4297, loss_main: 1.0702, loss_aux: 1.0403, loss: 4.7968
2023-02-02 22:47:42,740 - mmcls - INFO - Epoch [13][210/235]	lr: 2.115e-01, eta: 0:07:09, time: 0.064, data_time: 0.001, memory: 701, top-1: 41.9141, top-5: 66.2109, loss_main: 1.1446, loss_aux: 1.1631, loss: 4.3488
2023-02-02 22:47:44,084 - mmcls - INFO - Epoch [13][220/235]	lr: 2.113e-01, eta: 0:07:11, time: 0.134, data_time: 0.005, memory: 701, top-1: 38.9062, top-5: 61.2109, loss_main: 1.0197, loss_aux: 1.1939, loss: 3.9730
2023-02-02 22:47:45,211 - mmcls - INFO - Epoch [13][230/235]	lr: 2.110e-01, eta: 0:07:13, time: 0.112, data_time: 0.006, memory: 701, top-1: 41.0742, top-5: 64.6094, loss_main: 1.0831, loss_aux: 1.0517, loss: 4.2263
2023-02-02 22:47:45,809 - mmcls - INFO - Saving checkpoint at 13 epochs
2023-02-02 22:47:48,467 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:47:48,468 - mmcls - INFO - Epoch(val) [13][12]	acc: 62.2500
2023-02-02 22:47:51,697 - mmcls - INFO - Epoch [14][10/235]	lr: 2.107e-01, eta: 0:07:19, time: 0.321, data_time: 0.206, memory: 701, top-1: 48.2422, top-5: 73.0273, loss_main: 1.1352, loss_aux: 0.9463, loss: 3.6135
2023-02-02 22:47:52,745 - mmcls - INFO - Epoch [14][20/235]	lr: 2.104e-01, eta: 0:07:20, time: 0.103, data_time: 0.003, memory: 701, top-1: 42.7148, top-5: 63.8086, loss_main: 0.9078, loss_aux: 0.8501, loss: 3.6313
2023-02-02 22:47:53,505 - mmcls - INFO - Epoch [14][30/235]	lr: 2.102e-01, eta: 0:07:20, time: 0.076, data_time: 0.004, memory: 701, top-1: 37.0117, top-5: 64.0234, loss_main: 1.2417, loss_aux: 1.1029, loss: 4.5033
2023-02-02 22:47:54,262 - mmcls - INFO - Epoch [14][40/235]	lr: 2.100e-01, eta: 0:07:20, time: 0.076, data_time: 0.004, memory: 701, top-1: 39.5312, top-5: 64.1016, loss_main: 1.1983, loss_aux: 1.2203, loss: 4.2981
2023-02-02 22:47:55,495 - mmcls - INFO - Epoch [14][50/235]	lr: 2.097e-01, eta: 0:07:22, time: 0.119, data_time: 0.003, memory: 701, top-1: 37.2070, top-5: 58.2227, loss_main: 0.9904, loss_aux: 1.0443, loss: 4.3596
2023-02-02 22:47:56,242 - mmcls - INFO - Epoch [14][60/235]	lr: 2.095e-01, eta: 0:07:22, time: 0.078, data_time: 0.007, memory: 701, top-1: 42.6172, top-5: 64.8242, loss_main: 0.8999, loss_aux: 0.9465, loss: 3.6963
2023-02-02 22:47:56,832 - mmcls - INFO - Epoch [14][70/235]	lr: 2.092e-01, eta: 0:07:21, time: 0.055, data_time: 0.004, memory: 701, top-1: 57.7539, top-5: 80.9375, loss_main: 0.9867, loss_aux: 0.6986, loss: 2.8071
2023-02-02 22:47:57,834 - mmcls - INFO - Epoch [14][80/235]	lr: 2.090e-01, eta: 0:07:22, time: 0.102, data_time: 0.007, memory: 701, top-1: 39.4727, top-5: 64.1602, loss_main: 1.1307, loss_aux: 1.0615, loss: 4.1372
2023-02-02 22:47:59,124 - mmcls - INFO - Epoch [14][90/235]	lr: 2.087e-01, eta: 0:07:24, time: 0.133, data_time: 0.006, memory: 701, top-1: 38.2617, top-5: 60.7812, loss_main: 1.1259, loss_aux: 1.1108, loss: 4.4554
2023-02-02 22:48:00,261 - mmcls - INFO - Epoch [14][100/235]	lr: 2.085e-01, eta: 0:07:25, time: 0.112, data_time: 0.001, memory: 701, top-1: 43.1641, top-5: 65.9180, loss_main: 1.1416, loss_aux: 1.0783, loss: 3.7552
2023-02-02 22:48:01,479 - mmcls - INFO - Epoch [14][110/235]	lr: 2.082e-01, eta: 0:07:27, time: 0.123, data_time: 0.003, memory: 701, top-1: 47.2656, top-5: 70.2930, loss_main: 1.0610, loss_aux: 0.9241, loss: 3.4741
2023-02-02 22:48:02,505 - mmcls - INFO - Epoch [14][120/235]	lr: 2.080e-01, eta: 0:07:27, time: 0.100, data_time: 0.001, memory: 701, top-1: 44.3359, top-5: 67.6367, loss_main: 1.1305, loss_aux: 1.0062, loss: 3.8399
2023-02-02 22:48:03,684 - mmcls - INFO - Epoch [14][130/235]	lr: 2.077e-01, eta: 0:07:28, time: 0.113, data_time: 0.004, memory: 701, top-1: 53.4375, top-5: 77.2070, loss_main: 0.9630, loss_aux: 0.8133, loss: 3.0965
2023-02-02 22:48:04,776 - mmcls - INFO - Epoch [14][140/235]	lr: 2.075e-01, eta: 0:07:30, time: 0.113, data_time: 0.009, memory: 701, top-1: 42.5000, top-5: 63.0078, loss_main: 1.0671, loss_aux: 0.9325, loss: 3.4488
2023-02-02 22:48:05,595 - mmcls - INFO - Epoch [14][150/235]	lr: 2.072e-01, eta: 0:07:30, time: 0.085, data_time: 0.005, memory: 701, top-1: 45.3516, top-5: 67.9492, loss_main: 1.0670, loss_aux: 1.0996, loss: 3.6244
2023-02-02 22:48:06,479 - mmcls - INFO - Epoch [14][160/235]	lr: 2.070e-01, eta: 0:07:30, time: 0.079, data_time: 0.002, memory: 701, top-1: 39.4922, top-5: 64.5117, loss_main: 1.1523, loss_aux: 1.0846, loss: 4.3076
2023-02-02 22:48:07,567 - mmcls - INFO - Epoch [14][170/235]	lr: 2.067e-01, eta: 0:07:31, time: 0.116, data_time: 0.011, memory: 701, top-1: 41.5625, top-5: 64.9219, loss_main: 1.0218, loss_aux: 0.9003, loss: 4.2356
2023-02-02 22:48:08,686 - mmcls - INFO - Epoch [14][180/235]	lr: 2.065e-01, eta: 0:07:32, time: 0.110, data_time: 0.004, memory: 701, top-1: 33.1641, top-5: 54.8047, loss_main: 1.1486, loss_aux: 1.1513, loss: 4.6022
2023-02-02 22:48:09,378 - mmcls - INFO - Epoch [14][190/235]	lr: 2.062e-01, eta: 0:07:32, time: 0.073, data_time: 0.006, memory: 701, top-1: 47.7344, top-5: 69.5703, loss_main: 1.0302, loss_aux: 0.9631, loss: 3.6155
2023-02-02 22:48:10,099 - mmcls - INFO - Epoch [14][200/235]	lr: 2.060e-01, eta: 0:07:32, time: 0.072, data_time: 0.001, memory: 701, top-1: 45.2930, top-5: 69.7852, loss_main: 1.1755, loss_aux: 1.0133, loss: 3.6882
2023-02-02 22:48:11,052 - mmcls - INFO - Epoch [14][210/235]	lr: 2.057e-01, eta: 0:07:33, time: 0.093, data_time: 0.002, memory: 701, top-1: 52.0117, top-5: 75.2148, loss_main: 1.0308, loss_aux: 0.8225, loss: 3.3018
2023-02-02 22:48:11,970 - mmcls - INFO - Epoch [14][220/235]	lr: 2.055e-01, eta: 0:07:33, time: 0.094, data_time: 0.004, memory: 701, top-1: 51.3672, top-5: 74.1992, loss_main: 1.0216, loss_aux: 0.9418, loss: 3.2965
2023-02-02 22:48:12,598 - mmcls - INFO - Epoch [14][230/235]	lr: 2.052e-01, eta: 0:07:33, time: 0.062, data_time: 0.001, memory: 701, top-1: 41.7578, top-5: 62.7344, loss_main: 1.1161, loss_aux: 1.1582, loss: 3.9736
2023-02-02 22:48:12,926 - mmcls - INFO - Saving checkpoint at 14 epochs
2023-02-02 22:48:15,551 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:48:15,563 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_11.pth was removed
2023-02-02 22:48:15,801 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_14.pth.
2023-02-02 22:48:15,801 - mmcls - INFO - Best acc is 67.8333 at 14 epoch.
2023-02-02 22:48:15,801 - mmcls - INFO - Epoch(val) [14][12]	acc: 67.8333
2023-02-02 22:48:18,954 - mmcls - INFO - Epoch [15][10/235]	lr: 2.048e-01, eta: 0:07:38, time: 0.309, data_time: 0.204, memory: 701, top-1: 26.6602, top-5: 51.0352, loss_main: 1.2137, loss_aux: 1.1705, loss: 5.3705
2023-02-02 22:48:19,925 - mmcls - INFO - Epoch [15][20/235]	lr: 2.046e-01, eta: 0:07:39, time: 0.100, data_time: 0.006, memory: 701, top-1: 50.7617, top-5: 73.7695, loss_main: 1.1348, loss_aux: 1.1374, loss: 3.1475
2023-02-02 22:48:20,814 - mmcls - INFO - Epoch [15][30/235]	lr: 2.043e-01, eta: 0:07:39, time: 0.091, data_time: 0.004, memory: 701, top-1: 50.3516, top-5: 72.5391, loss_main: 0.9818, loss_aux: 0.8692, loss: 3.2588
2023-02-02 22:48:21,819 - mmcls - INFO - Epoch [15][40/235]	lr: 2.041e-01, eta: 0:07:39, time: 0.097, data_time: 0.001, memory: 701, top-1: 48.6719, top-5: 77.1094, loss_main: 1.1869, loss_aux: 1.0733, loss: 3.8558
2023-02-02 22:48:22,864 - mmcls - INFO - Epoch [15][50/235]	lr: 2.038e-01, eta: 0:07:40, time: 0.106, data_time: 0.005, memory: 701, top-1: 42.0117, top-5: 65.7617, loss_main: 1.1630, loss_aux: 0.9167, loss: 4.1680
2023-02-02 22:48:23,948 - mmcls - INFO - Epoch [15][60/235]	lr: 2.035e-01, eta: 0:07:41, time: 0.109, data_time: 0.004, memory: 701, top-1: 53.4766, top-5: 75.0195, loss_main: 1.0303, loss_aux: 0.8297, loss: 2.7837
2023-02-02 22:48:24,740 - mmcls - INFO - Epoch [15][70/235]	lr: 2.033e-01, eta: 0:07:41, time: 0.076, data_time: 0.003, memory: 701, top-1: 40.5273, top-5: 62.8125, loss_main: 1.0561, loss_aux: 1.0259, loss: 4.1892
2023-02-02 22:48:25,774 - mmcls - INFO - Epoch [15][80/235]	lr: 2.030e-01, eta: 0:07:42, time: 0.108, data_time: 0.006, memory: 701, top-1: 47.7930, top-5: 71.6797, loss_main: 1.0303, loss_aux: 1.0031, loss: 3.7673
2023-02-02 22:48:26,543 - mmcls - INFO - Epoch [15][90/235]	lr: 2.028e-01, eta: 0:07:42, time: 0.077, data_time: 0.001, memory: 701, top-1: 52.1289, top-5: 75.4688, loss_main: 1.0002, loss_aux: 0.7917, loss: 3.4360
2023-02-02 22:48:27,220 - mmcls - INFO - Epoch [15][100/235]	lr: 2.025e-01, eta: 0:07:41, time: 0.065, data_time: 0.001, memory: 701, top-1: 59.6875, top-5: 84.6484, loss_main: 1.0875, loss_aux: 0.9037, loss: 2.5406
2023-02-02 22:48:28,125 - mmcls - INFO - Epoch [15][110/235]	lr: 2.022e-01, eta: 0:07:42, time: 0.090, data_time: 0.004, memory: 701, top-1: 47.9883, top-5: 71.6211, loss_main: 1.0730, loss_aux: 0.9252, loss: 3.6126
2023-02-02 22:48:29,548 - mmcls - INFO - Epoch [15][120/235]	lr: 2.020e-01, eta: 0:07:43, time: 0.141, data_time: 0.004, memory: 701, top-1: 37.8516, top-5: 58.2031, loss_main: 0.9412, loss_aux: 0.9100, loss: 4.2427
2023-02-02 22:48:30,727 - mmcls - INFO - Epoch [15][130/235]	lr: 2.017e-01, eta: 0:07:44, time: 0.117, data_time: 0.004, memory: 701, top-1: 49.3164, top-5: 75.7617, loss_main: 1.1994, loss_aux: 1.0998, loss: 3.6713
2023-02-02 22:48:31,850 - mmcls - INFO - Epoch [15][140/235]	lr: 2.015e-01, eta: 0:07:45, time: 0.116, data_time: 0.005, memory: 701, top-1: 59.6875, top-5: 85.1953, loss_main: 1.0808, loss_aux: 0.8772, loss: 2.7411
2023-02-02 22:48:32,837 - mmcls - INFO - Epoch [15][150/235]	lr: 2.012e-01, eta: 0:07:46, time: 0.098, data_time: 0.001, memory: 701, top-1: 24.3555, top-5: 46.8945, loss_main: 1.0930, loss_aux: 1.2696, loss: 5.2262
2023-02-02 22:48:33,541 - mmcls - INFO - Epoch [15][160/235]	lr: 2.009e-01, eta: 0:07:45, time: 0.071, data_time: 0.002, memory: 701, top-1: 32.2852, top-5: 50.9961, loss_main: 0.9131, loss_aux: 1.0437, loss: 4.6314
2023-02-02 22:48:34,506 - mmcls - INFO - Epoch [15][170/235]	lr: 2.007e-01, eta: 0:07:46, time: 0.092, data_time: 0.001, memory: 701, top-1: 59.6680, top-5: 81.7773, loss_main: 1.0254, loss_aux: 0.8198, loss: 2.4571
2023-02-02 22:48:35,548 - mmcls - INFO - Epoch [15][180/235]	lr: 2.004e-01, eta: 0:07:46, time: 0.102, data_time: 0.006, memory: 701, top-1: 44.1797, top-5: 70.1172, loss_main: 1.1970, loss_aux: 1.1964, loss: 4.2776
2023-02-02 22:48:36,397 - mmcls - INFO - Epoch [15][190/235]	lr: 2.001e-01, eta: 0:07:47, time: 0.091, data_time: 0.008, memory: 701, top-1: 56.5820, top-5: 76.2305, loss_main: 1.0455, loss_aux: 1.1061, loss: 2.2012
2023-02-02 22:48:37,529 - mmcls - INFO - Epoch [15][200/235]	lr: 1.999e-01, eta: 0:07:47, time: 0.107, data_time: 0.001, memory: 701, top-1: 49.3164, top-5: 69.5898, loss_main: 0.7976, loss_aux: 0.7559, loss: 3.3174
2023-02-02 22:48:38,387 - mmcls - INFO - Epoch [15][210/235]	lr: 1.996e-01, eta: 0:07:47, time: 0.092, data_time: 0.008, memory: 701, top-1: 48.0078, top-5: 73.6133, loss_main: 1.1587, loss_aux: 1.0039, loss: 3.6842
2023-02-02 22:48:39,024 - mmcls - INFO - Epoch [15][220/235]	lr: 1.993e-01, eta: 0:07:47, time: 0.065, data_time: 0.002, memory: 701, top-1: 55.3711, top-5: 80.2734, loss_main: 1.1453, loss_aux: 0.8653, loss: 3.1574
2023-02-02 22:48:39,199 - mmcls - INFO - Epoch [15][230/235]	lr: 1.991e-01, eta: 0:07:46, time: 0.017, data_time: 0.000, memory: 701, top-1: 57.5000, top-5: 83.1250, loss_main: 1.1208, loss_aux: 0.9958, loss: 3.1155
2023-02-02 22:48:39,286 - mmcls - INFO - Saving checkpoint at 15 epochs
2023-02-02 22:48:41,687 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:48:41,687 - mmcls - INFO - Epoch(val) [15][12]	acc: 64.8167
2023-02-02 22:48:45,323 - mmcls - INFO - Epoch [16][10/235]	lr: 1.987e-01, eta: 0:07:51, time: 0.359, data_time: 0.208, memory: 701, top-1: 32.0703, top-5: 48.3203, loss_main: 0.7798, loss_aux: 0.8996, loss: 4.3662
2023-02-02 22:48:46,100 - mmcls - INFO - Epoch [16][20/235]	lr: 1.984e-01, eta: 0:07:51, time: 0.079, data_time: 0.005, memory: 701, top-1: 58.3008, top-5: 78.5156, loss_main: 0.9030, loss_aux: 0.8728, loss: 2.3291
2023-02-02 22:48:47,029 - mmcls - INFO - Epoch [16][30/235]	lr: 1.981e-01, eta: 0:07:51, time: 0.093, data_time: 0.004, memory: 701, top-1: 39.7852, top-5: 61.5234, loss_main: 1.0633, loss_aux: 1.0777, loss: 4.3160
2023-02-02 22:48:47,779 - mmcls - INFO - Epoch [16][40/235]	lr: 1.979e-01, eta: 0:07:51, time: 0.076, data_time: 0.004, memory: 701, top-1: 47.6172, top-5: 69.9023, loss_main: 1.0395, loss_aux: 1.1165, loss: 3.5659
2023-02-02 22:48:48,774 - mmcls - INFO - Epoch [16][50/235]	lr: 1.976e-01, eta: 0:07:51, time: 0.101, data_time: 0.003, memory: 701, top-1: 44.3555, top-5: 66.8555, loss_main: 1.1181, loss_aux: 1.0323, loss: 3.9421
2023-02-02 22:48:49,857 - mmcls - INFO - Epoch [16][60/235]	lr: 1.973e-01, eta: 0:07:52, time: 0.104, data_time: 0.002, memory: 701, top-1: 23.3789, top-5: 41.2109, loss_main: 0.8631, loss_aux: 0.9729, loss: 5.2301
2023-02-02 22:48:50,862 - mmcls - INFO - Epoch [16][70/235]	lr: 1.970e-01, eta: 0:07:52, time: 0.101, data_time: 0.005, memory: 701, top-1: 56.0156, top-5: 75.8789, loss_main: 0.8447, loss_aux: 0.7818, loss: 2.7978
2023-02-02 22:48:51,992 - mmcls - INFO - Epoch [16][80/235]	lr: 1.968e-01, eta: 0:07:53, time: 0.113, data_time: 0.005, memory: 701, top-1: 56.8555, top-5: 77.7734, loss_main: 0.8757, loss_aux: 0.8632, loss: 2.6398
2023-02-02 22:48:52,931 - mmcls - INFO - Epoch [16][90/235]	lr: 1.965e-01, eta: 0:07:53, time: 0.097, data_time: 0.005, memory: 701, top-1: 33.3594, top-5: 58.9062, loss_main: 1.0679, loss_aux: 1.1977, loss: 4.8987
2023-02-02 22:48:53,650 - mmcls - INFO - Epoch [16][100/235]	lr: 1.962e-01, eta: 0:07:53, time: 0.071, data_time: 0.002, memory: 701, top-1: 45.5664, top-5: 68.5938, loss_main: 1.0862, loss_aux: 0.9549, loss: 3.8766
2023-02-02 22:48:54,545 - mmcls - INFO - Epoch [16][110/235]	lr: 1.960e-01, eta: 0:07:53, time: 0.090, data_time: 0.003, memory: 701, top-1: 66.2500, top-5: 89.6680, loss_main: 0.9468, loss_aux: 0.8226, loss: 2.2453
2023-02-02 22:48:55,397 - mmcls - INFO - Epoch [16][120/235]	lr: 1.957e-01, eta: 0:07:53, time: 0.084, data_time: 0.003, memory: 701, top-1: 40.8203, top-5: 62.9297, loss_main: 1.0499, loss_aux: 0.9853, loss: 3.8924
2023-02-02 22:48:56,178 - mmcls - INFO - Epoch [16][130/235]	lr: 1.954e-01, eta: 0:07:53, time: 0.075, data_time: 0.003, memory: 701, top-1: 45.1562, top-5: 67.9688, loss_main: 0.9946, loss_aux: 0.9271, loss: 3.8095
2023-02-02 22:48:56,856 - mmcls - INFO - Epoch [16][140/235]	lr: 1.951e-01, eta: 0:07:53, time: 0.073, data_time: 0.006, memory: 701, top-1: 36.8555, top-5: 59.3750, loss_main: 1.0968, loss_aux: 1.0738, loss: 4.7146
2023-02-02 22:48:58,264 - mmcls - INFO - Epoch [16][150/235]	lr: 1.949e-01, eta: 0:07:54, time: 0.131, data_time: 0.001, memory: 701, top-1: 46.5430, top-5: 68.7109, loss_main: 1.0740, loss_aux: 1.0841, loss: 3.8680
2023-02-02 22:48:59,399 - mmcls - INFO - Epoch [16][160/235]	lr: 1.946e-01, eta: 0:07:54, time: 0.120, data_time: 0.011, memory: 701, top-1: 43.3594, top-5: 64.2969, loss_main: 1.0470, loss_aux: 0.9900, loss: 3.8862
2023-02-02 22:49:00,449 - mmcls - INFO - Epoch [16][170/235]	lr: 1.943e-01, eta: 0:07:55, time: 0.105, data_time: 0.005, memory: 701, top-1: 47.1680, top-5: 71.4453, loss_main: 1.0564, loss_aux: 1.0931, loss: 3.7533
2023-02-02 22:49:01,584 - mmcls - INFO - Epoch [16][180/235]	lr: 1.940e-01, eta: 0:07:55, time: 0.116, data_time: 0.005, memory: 701, top-1: 49.0234, top-5: 73.8086, loss_main: 0.9518, loss_aux: 1.0243, loss: 3.7563
2023-02-02 22:49:02,457 - mmcls - INFO - Epoch [16][190/235]	lr: 1.938e-01, eta: 0:07:56, time: 0.087, data_time: 0.002, memory: 701, top-1: 42.0117, top-5: 62.2266, loss_main: 0.9627, loss_aux: 0.8719, loss: 3.9950
2023-02-02 22:49:03,426 - mmcls - INFO - Epoch [16][200/235]	lr: 1.935e-01, eta: 0:07:56, time: 0.095, data_time: 0.002, memory: 701, top-1: 50.0391, top-5: 75.6445, loss_main: 1.1678, loss_aux: 1.0438, loss: 3.3855
2023-02-02 22:49:04,508 - mmcls - INFO - Epoch [16][210/235]	lr: 1.932e-01, eta: 0:07:56, time: 0.108, data_time: 0.004, memory: 701, top-1: 48.2422, top-5: 69.9414, loss_main: 0.8490, loss_aux: 0.9891, loss: 3.6306
2023-02-02 22:49:05,609 - mmcls - INFO - Epoch [16][220/235]	lr: 1.929e-01, eta: 0:07:57, time: 0.113, data_time: 0.004, memory: 701, top-1: 36.7969, top-5: 58.7695, loss_main: 1.0573, loss_aux: 1.0345, loss: 4.6667
2023-02-02 22:49:06,735 - mmcls - INFO - Epoch [16][230/235]	lr: 1.926e-01, eta: 0:07:57, time: 0.109, data_time: 0.002, memory: 701, top-1: 35.1172, top-5: 54.6875, loss_main: 1.0938, loss_aux: 0.9250, loss: 4.4860
2023-02-02 22:49:07,405 - mmcls - INFO - Saving checkpoint at 16 epochs
2023-02-02 22:49:09,934 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:49:09,935 - mmcls - INFO - Epoch(val) [16][12]	acc: 63.9667
2023-02-02 22:49:12,732 - mmcls - INFO - Epoch [17][10/235]	lr: 1.922e-01, eta: 0:08:00, time: 0.277, data_time: 0.205, memory: 701, loss: 3.8490, top-1: 43.2227, top-5: 67.6562, loss_main: 1.1811, loss_aux: 1.1800
2023-02-02 22:49:14,017 - mmcls - INFO - Epoch [17][20/235]	lr: 1.919e-01, eta: 0:08:01, time: 0.122, data_time: 0.003, memory: 701, loss: 3.6615, top-1: 48.3398, top-5: 70.9570, loss_main: 1.0759, loss_aux: 1.0338
2023-02-02 22:49:15,285 - mmcls - INFO - Epoch [17][30/235]	lr: 1.917e-01, eta: 0:08:02, time: 0.123, data_time: 0.009, memory: 701, loss: 3.2514, top-1: 51.6016, top-5: 70.7031, loss_main: 0.7968, loss_aux: 0.8219
2023-02-02 22:49:16,581 - mmcls - INFO - Epoch [17][40/235]	lr: 1.914e-01, eta: 0:08:03, time: 0.138, data_time: 0.012, memory: 701, loss: 3.1884, top-1: 52.7734, top-5: 74.3555, loss_main: 0.9200, loss_aux: 0.8336
2023-02-02 22:49:17,794 - mmcls - INFO - Epoch [17][50/235]	lr: 1.911e-01, eta: 0:08:03, time: 0.121, data_time: 0.004, memory: 701, loss: 3.1584, top-1: 58.4375, top-5: 83.9648, loss_main: 1.0299, loss_aux: 0.9750
2023-02-02 22:49:18,711 - mmcls - INFO - Epoch [17][60/235]	lr: 1.908e-01, eta: 0:08:03, time: 0.094, data_time: 0.005, memory: 701, loss: 2.9555, top-1: 53.0664, top-5: 74.2773, loss_main: 0.9671, loss_aux: 0.9709
2023-02-02 22:49:19,764 - mmcls - INFO - Epoch [17][70/235]	lr: 1.905e-01, eta: 0:08:04, time: 0.103, data_time: 0.002, memory: 701, loss: 3.3768, top-1: 52.7930, top-5: 79.5898, loss_main: 1.1927, loss_aux: 1.1800
2023-02-02 22:49:20,998 - mmcls - INFO - Epoch [17][80/235]	lr: 1.902e-01, eta: 0:08:04, time: 0.116, data_time: 0.004, memory: 701, loss: 4.5075, top-1: 42.7539, top-5: 69.3945, loss_main: 1.2239, loss_aux: 1.1511
2023-02-02 22:49:22,109 - mmcls - INFO - Epoch [17][90/235]	lr: 1.900e-01, eta: 0:08:05, time: 0.120, data_time: 0.011, memory: 701, loss: 3.1641, top-1: 59.5508, top-5: 84.9609, loss_main: 0.9778, loss_aux: 0.8191
2023-02-02 22:49:23,228 - mmcls - INFO - Epoch [17][100/235]	lr: 1.897e-01, eta: 0:08:05, time: 0.103, data_time: 0.002, memory: 701, loss: 3.5128, top-1: 47.3242, top-5: 68.7891, loss_main: 1.0096, loss_aux: 0.8802
2023-02-02 22:49:24,588 - mmcls - INFO - Epoch [17][110/235]	lr: 1.894e-01, eta: 0:08:06, time: 0.139, data_time: 0.011, memory: 701, loss: 4.3495, top-1: 41.5820, top-5: 68.1836, loss_main: 1.2123, loss_aux: 1.1442
2023-02-02 22:49:25,470 - mmcls - INFO - Epoch [17][120/235]	lr: 1.891e-01, eta: 0:08:06, time: 0.093, data_time: 0.008, memory: 701, loss: 3.3440, top-1: 54.8242, top-5: 81.8359, loss_main: 1.1726, loss_aux: 1.1410
2023-02-02 22:49:26,176 - mmcls - INFO - Epoch [17][130/235]	lr: 1.888e-01, eta: 0:08:06, time: 0.071, data_time: 0.004, memory: 701, loss: 4.4362, top-1: 40.0977, top-5: 66.0352, loss_main: 1.2313, loss_aux: 1.1837
2023-02-02 22:49:27,005 - mmcls - INFO - Epoch [17][140/235]	lr: 1.885e-01, eta: 0:08:05, time: 0.078, data_time: 0.003, memory: 701, loss: 3.6755, top-1: 45.1562, top-5: 69.1211, loss_main: 1.1700, loss_aux: 1.0004
2023-02-02 22:49:27,845 - mmcls - INFO - Epoch [17][150/235]	lr: 1.882e-01, eta: 0:08:05, time: 0.089, data_time: 0.008, memory: 701, loss: 4.0464, top-1: 35.5469, top-5: 53.1445, loss_main: 0.8494, loss_aux: 0.8602
2023-02-02 22:49:28,476 - mmcls - INFO - Epoch [17][160/235]	lr: 1.880e-01, eta: 0:08:05, time: 0.063, data_time: 0.003, memory: 701, loss: 3.9742, top-1: 45.2734, top-5: 67.7539, loss_main: 0.9824, loss_aux: 0.8453
2023-02-02 22:49:29,219 - mmcls - INFO - Epoch [17][170/235]	lr: 1.877e-01, eta: 0:08:04, time: 0.072, data_time: 0.003, memory: 701, loss: 3.2726, top-1: 53.1641, top-5: 79.3164, loss_main: 1.1004, loss_aux: 1.0947
2023-02-02 22:49:29,939 - mmcls - INFO - Epoch [17][180/235]	lr: 1.874e-01, eta: 0:08:04, time: 0.074, data_time: 0.006, memory: 701, loss: 3.5154, top-1: 47.4805, top-5: 69.9805, loss_main: 1.1422, loss_aux: 1.0947
2023-02-02 22:49:31,501 - mmcls - INFO - Epoch [17][190/235]	lr: 1.871e-01, eta: 0:08:05, time: 0.158, data_time: 0.004, memory: 701, loss: 3.9074, top-1: 44.3164, top-5: 66.0938, loss_main: 1.0693, loss_aux: 1.0550
2023-02-02 22:49:32,430 - mmcls - INFO - Epoch [17][200/235]	lr: 1.868e-01, eta: 0:08:05, time: 0.094, data_time: 0.002, memory: 701, loss: 3.2800, top-1: 51.8164, top-5: 77.1289, loss_main: 1.2055, loss_aux: 1.0873
2023-02-02 22:49:33,421 - mmcls - INFO - Epoch [17][210/235]	lr: 1.865e-01, eta: 0:08:05, time: 0.097, data_time: 0.001, memory: 701, loss: 2.7934, top-1: 55.9180, top-5: 75.4102, loss_main: 0.7904, loss_aux: 0.8538
2023-02-02 22:49:34,539 - mmcls - INFO - Epoch [17][220/235]	lr: 1.862e-01, eta: 0:08:05, time: 0.110, data_time: 0.003, memory: 701, loss: 4.0105, top-1: 47.9688, top-5: 72.8125, loss_main: 1.0394, loss_aux: 1.0314
2023-02-02 22:49:35,487 - mmcls - INFO - Epoch [17][230/235]	lr: 1.859e-01, eta: 0:08:05, time: 0.094, data_time: 0.004, memory: 701, loss: 2.3461, top-1: 65.1562, top-5: 88.9258, loss_main: 0.9601, loss_aux: 0.8869
2023-02-02 22:49:35,963 - mmcls - INFO - Saving checkpoint at 17 epochs
2023-02-02 22:49:38,565 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:49:38,566 - mmcls - INFO - Epoch(val) [17][12]	acc: 66.3667
2023-02-02 22:49:41,634 - mmcls - INFO - Epoch [18][10/235]	lr: 1.855e-01, eta: 0:08:08, time: 0.303, data_time: 0.206, memory: 701, top-1: 38.4570, top-5: 60.1758, loss_main: 0.8811, loss_aux: 0.9721, loss: 4.1922
2023-02-02 22:49:42,583 - mmcls - INFO - Epoch [18][20/235]	lr: 1.852e-01, eta: 0:08:08, time: 0.096, data_time: 0.004, memory: 701, top-1: 54.8828, top-5: 80.6055, loss_main: 1.0617, loss_aux: 0.8865, loss: 3.5315
2023-02-02 22:49:43,124 - mmcls - INFO - Epoch [18][30/235]	lr: 1.849e-01, eta: 0:08:08, time: 0.056, data_time: 0.003, memory: 701, top-1: 35.7812, top-5: 51.7188, loss_main: 0.7765, loss_aux: 0.7766, loss: 4.0023
2023-02-02 22:49:43,758 - mmcls - INFO - Epoch [18][40/235]	lr: 1.846e-01, eta: 0:08:07, time: 0.062, data_time: 0.001, memory: 701, top-1: 47.5195, top-5: 67.5781, loss_main: 0.7944, loss_aux: 0.7342, loss: 3.5380
2023-02-02 22:49:44,819 - mmcls - INFO - Epoch [18][50/235]	lr: 1.843e-01, eta: 0:08:07, time: 0.100, data_time: 0.003, memory: 701, top-1: 32.3633, top-5: 56.1328, loss_main: 1.1753, loss_aux: 1.1640, loss: 4.9281
2023-02-02 22:49:46,212 - mmcls - INFO - Epoch [18][60/235]	lr: 1.840e-01, eta: 0:08:08, time: 0.145, data_time: 0.008, memory: 701, top-1: 46.5430, top-5: 67.6562, loss_main: 0.9952, loss_aux: 0.9227, loss: 3.6126
2023-02-02 22:49:47,401 - mmcls - INFO - Epoch [18][70/235]	lr: 1.838e-01, eta: 0:08:08, time: 0.113, data_time: 0.002, memory: 701, top-1: 41.6406, top-5: 62.2266, loss_main: 0.9333, loss_aux: 0.7992, loss: 4.1292
2023-02-02 22:49:48,579 - mmcls - INFO - Epoch [18][80/235]	lr: 1.835e-01, eta: 0:08:09, time: 0.122, data_time: 0.008, memory: 701, top-1: 55.4102, top-5: 78.7305, loss_main: 1.0882, loss_aux: 0.8521, loss: 3.0947
2023-02-02 22:49:49,526 - mmcls - INFO - Epoch [18][90/235]	lr: 1.832e-01, eta: 0:08:09, time: 0.094, data_time: 0.004, memory: 701, top-1: 65.9766, top-5: 89.8047, loss_main: 0.9970, loss_aux: 0.8543, loss: 2.2341
2023-02-02 22:49:50,733 - mmcls - INFO - Epoch [18][100/235]	lr: 1.829e-01, eta: 0:08:09, time: 0.116, data_time: 0.005, memory: 701, top-1: 44.1406, top-5: 66.8750, loss_main: 1.0450, loss_aux: 0.9920, loss: 3.8949
2023-02-02 22:49:51,837 - mmcls - INFO - Epoch [18][110/235]	lr: 1.826e-01, eta: 0:08:09, time: 0.115, data_time: 0.009, memory: 701, top-1: 48.9453, top-5: 71.1328, loss_main: 1.0634, loss_aux: 0.9391, loss: 3.3289
2023-02-02 22:49:52,594 - mmcls - INFO - Epoch [18][120/235]	lr: 1.823e-01, eta: 0:08:09, time: 0.078, data_time: 0.005, memory: 701, top-1: 46.1133, top-5: 62.9102, loss_main: 0.8233, loss_aux: 0.8771, loss: 3.1752
2023-02-02 22:49:53,761 - mmcls - INFO - Epoch [18][130/235]	lr: 1.820e-01, eta: 0:08:09, time: 0.114, data_time: 0.003, memory: 701, top-1: 42.1680, top-5: 68.4961, loss_main: 1.0945, loss_aux: 1.0931, loss: 4.3755
2023-02-02 22:49:55,083 - mmcls - INFO - Epoch [18][140/235]	lr: 1.817e-01, eta: 0:08:10, time: 0.126, data_time: 0.005, memory: 701, top-1: 46.2695, top-5: 70.1953, loss_main: 1.1022, loss_aux: 0.9982, loss: 3.9121
2023-02-02 22:49:55,556 - mmcls - INFO - Epoch [18][150/235]	lr: 1.814e-01, eta: 0:08:09, time: 0.058, data_time: 0.011, memory: 701, top-1: 39.3359, top-5: 59.4336, loss_main: 1.0058, loss_aux: 0.9399, loss: 4.3097
2023-02-02 22:49:55,770 - mmcls - INFO - Epoch [18][160/235]	lr: 1.811e-01, eta: 0:08:08, time: 0.022, data_time: 0.001, memory: 701, top-1: 64.4531, top-5: 87.7344, loss_main: 0.9897, loss_aux: 0.9131, loss: 2.8502
2023-02-02 22:49:55,982 - mmcls - INFO - Epoch [18][170/235]	lr: 1.808e-01, eta: 0:08:06, time: 0.021, data_time: 0.000, memory: 701, top-1: 31.7773, top-5: 51.3086, loss_main: 0.9128, loss_aux: 1.0032, loss: 4.8362
2023-02-02 22:49:56,184 - mmcls - INFO - Epoch [18][180/235]	lr: 1.805e-01, eta: 0:08:05, time: 0.020, data_time: 0.000, memory: 701, top-1: 50.5859, top-5: 70.5078, loss_main: 0.9081, loss_aux: 0.9011, loss: 3.1978
2023-02-02 22:49:56,386 - mmcls - INFO - Epoch [18][190/235]	lr: 1.802e-01, eta: 0:08:03, time: 0.020, data_time: 0.000, memory: 701, top-1: 52.5977, top-5: 77.9883, loss_main: 1.0610, loss_aux: 1.0459, loss: 3.8159
2023-02-02 22:49:56,595 - mmcls - INFO - Epoch [18][200/235]	lr: 1.799e-01, eta: 0:08:02, time: 0.021, data_time: 0.000, memory: 701, top-1: 39.7656, top-5: 63.4180, loss_main: 0.9767, loss_aux: 0.9396, loss: 4.3037
2023-02-02 22:49:56,797 - mmcls - INFO - Epoch [18][210/235]	lr: 1.796e-01, eta: 0:08:00, time: 0.020, data_time: 0.000, memory: 701, top-1: 43.7695, top-5: 68.8477, loss_main: 1.0797, loss_aux: 1.1751, loss: 4.4205
2023-02-02 22:49:57,356 - mmcls - INFO - Epoch [18][220/235]	lr: 1.793e-01, eta: 0:08:00, time: 0.053, data_time: 0.000, memory: 701, top-1: 50.3906, top-5: 68.1445, loss_main: 0.8809, loss_aux: 0.9323, loss: 2.9636
2023-02-02 22:49:58,001 - mmcls - INFO - Epoch [18][230/235]	lr: 1.790e-01, eta: 0:07:59, time: 0.067, data_time: 0.004, memory: 701, top-1: 54.5312, top-5: 77.7734, loss_main: 0.8304, loss_aux: 0.9596, loss: 3.0268
2023-02-02 22:49:58,090 - mmcls - INFO - Saving checkpoint at 18 epochs
2023-02-02 22:50:00,679 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:50:00,680 - mmcls - INFO - Epoch(val) [18][12]	acc: 65.7667
2023-02-02 22:50:04,192 - mmcls - INFO - Epoch [19][10/235]	lr: 1.786e-01, eta: 0:08:03, time: 0.344, data_time: 0.208, memory: 701, top-1: 44.2383, top-5: 64.7656, loss_main: 0.8364, loss_aux: 0.9030, loss: 3.6798
2023-02-02 22:50:05,141 - mmcls - INFO - Epoch [19][20/235]	lr: 1.783e-01, eta: 0:08:02, time: 0.098, data_time: 0.007, memory: 701, top-1: 30.6250, top-5: 48.0273, loss_main: 0.8683, loss_aux: 0.8356, loss: 4.5198
2023-02-02 22:50:06,299 - mmcls - INFO - Epoch [19][30/235]	lr: 1.780e-01, eta: 0:08:03, time: 0.114, data_time: 0.004, memory: 701, top-1: 61.3281, top-5: 86.2500, loss_main: 0.8290, loss_aux: 0.8405, loss: 2.6443
2023-02-02 22:50:07,284 - mmcls - INFO - Epoch [19][40/235]	lr: 1.777e-01, eta: 0:08:03, time: 0.102, data_time: 0.006, memory: 701, top-1: 48.3008, top-5: 70.6641, loss_main: 1.0618, loss_aux: 0.9508, loss: 3.3259
2023-02-02 22:50:08,115 - mmcls - INFO - Epoch [19][50/235]	lr: 1.774e-01, eta: 0:08:02, time: 0.085, data_time: 0.003, memory: 701, top-1: 55.4102, top-5: 80.2734, loss_main: 1.0264, loss_aux: 1.0810, loss: 3.2924
2023-02-02 22:50:08,929 - mmcls - INFO - Epoch [19][60/235]	lr: 1.771e-01, eta: 0:08:02, time: 0.081, data_time: 0.001, memory: 701, top-1: 57.2852, top-5: 83.0664, loss_main: 1.0466, loss_aux: 0.9334, loss: 2.9824
2023-02-02 22:50:10,046 - mmcls - INFO - Epoch [19][70/235]	lr: 1.768e-01, eta: 0:08:02, time: 0.108, data_time: 0.002, memory: 701, top-1: 43.2031, top-5: 65.8398, loss_main: 1.0955, loss_aux: 0.9231, loss: 4.2511
2023-02-02 22:50:10,674 - mmcls - INFO - Epoch [19][80/235]	lr: 1.765e-01, eta: 0:08:02, time: 0.067, data_time: 0.005, memory: 701, top-1: 50.9570, top-5: 76.8164, loss_main: 1.1572, loss_aux: 1.1418, loss: 3.6354
2023-02-02 22:50:11,514 - mmcls - INFO - Epoch [19][90/235]	lr: 1.761e-01, eta: 0:08:01, time: 0.080, data_time: 0.001, memory: 701, top-1: 62.8320, top-5: 87.5781, loss_main: 1.0165, loss_aux: 0.9358, loss: 2.7612
2023-02-02 22:50:12,330 - mmcls - INFO - Epoch [19][100/235]	lr: 1.758e-01, eta: 0:08:01, time: 0.085, data_time: 0.005, memory: 701, top-1: 48.2031, top-5: 70.7812, loss_main: 0.9939, loss_aux: 0.9329, loss: 3.7235
2023-02-02 22:50:13,179 - mmcls - INFO - Epoch [19][110/235]	lr: 1.755e-01, eta: 0:08:01, time: 0.084, data_time: 0.002, memory: 701, top-1: 43.3398, top-5: 64.0820, loss_main: 1.0119, loss_aux: 0.8849, loss: 4.0700
2023-02-02 22:50:13,944 - mmcls - INFO - Epoch [19][120/235]	lr: 1.752e-01, eta: 0:08:00, time: 0.074, data_time: 0.003, memory: 701, top-1: 43.1445, top-5: 69.3164, loss_main: 1.0795, loss_aux: 1.1389, loss: 4.1936
2023-02-02 22:50:14,617 - mmcls - INFO - Epoch [19][130/235]	lr: 1.749e-01, eta: 0:07:59, time: 0.070, data_time: 0.006, memory: 701, top-1: 30.4297, top-5: 52.0312, loss_main: 1.0544, loss_aux: 1.0301, loss: 4.5746
2023-02-02 22:50:15,695 - mmcls - INFO - Epoch [19][140/235]	lr: 1.746e-01, eta: 0:07:59, time: 0.102, data_time: 0.003, memory: 701, top-1: 35.9375, top-5: 55.0391, loss_main: 1.0064, loss_aux: 1.0429, loss: 4.1549
2023-02-02 22:50:17,012 - mmcls - INFO - Epoch [19][150/235]	lr: 1.743e-01, eta: 0:08:00, time: 0.135, data_time: 0.008, memory: 701, top-1: 54.8828, top-5: 75.6641, loss_main: 0.9893, loss_aux: 0.8744, loss: 3.1547
2023-02-02 22:50:18,279 - mmcls - INFO - Epoch [19][160/235]	lr: 1.740e-01, eta: 0:08:00, time: 0.127, data_time: 0.005, memory: 701, top-1: 29.5703, top-5: 51.5234, loss_main: 1.0901, loss_aux: 0.9776, loss: 4.8486
2023-02-02 22:50:19,404 - mmcls - INFO - Epoch [19][170/235]	lr: 1.737e-01, eta: 0:08:00, time: 0.107, data_time: 0.005, memory: 701, top-1: 56.6602, top-5: 79.7461, loss_main: 0.9882, loss_aux: 1.1059, loss: 2.7850
2023-02-02 22:50:20,620 - mmcls - INFO - Epoch [19][180/235]	lr: 1.734e-01, eta: 0:08:01, time: 0.129, data_time: 0.010, memory: 701, top-1: 49.5117, top-5: 74.4531, loss_main: 1.0589, loss_aux: 1.0071, loss: 3.7254
2023-02-02 22:50:21,521 - mmcls - INFO - Epoch [19][190/235]	lr: 1.731e-01, eta: 0:08:01, time: 0.088, data_time: 0.003, memory: 701, top-1: 57.1289, top-5: 80.8398, loss_main: 0.9825, loss_aux: 0.8358, loss: 3.0037
2023-02-02 22:50:22,595 - mmcls - INFO - Epoch [19][200/235]	lr: 1.728e-01, eta: 0:08:01, time: 0.108, data_time: 0.005, memory: 701, top-1: 42.3438, top-5: 64.3164, loss_main: 0.9140, loss_aux: 0.9516, loss: 4.1840
2023-02-02 22:50:23,567 - mmcls - INFO - Epoch [19][210/235]	lr: 1.725e-01, eta: 0:08:00, time: 0.094, data_time: 0.004, memory: 701, top-1: 60.1367, top-5: 83.4961, loss_main: 0.9700, loss_aux: 0.9155, loss: 2.5928
2023-02-02 22:50:24,428 - mmcls - INFO - Epoch [19][220/235]	lr: 1.722e-01, eta: 0:08:00, time: 0.091, data_time: 0.007, memory: 701, top-1: 46.3672, top-5: 71.1719, loss_main: 1.0236, loss_aux: 0.9791, loss: 3.8919
2023-02-02 22:50:25,189 - mmcls - INFO - Epoch [19][230/235]	lr: 1.719e-01, eta: 0:08:00, time: 0.077, data_time: 0.002, memory: 701, top-1: 63.0469, top-5: 87.8711, loss_main: 1.1163, loss_aux: 1.1336, loss: 2.4677
2023-02-02 22:50:25,562 - mmcls - INFO - Saving checkpoint at 19 epochs
2023-02-02 22:50:28,078 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:50:28,079 - mmcls - INFO - Epoch(val) [19][12]	acc: 62.5167
2023-02-02 22:50:31,447 - mmcls - INFO - Epoch [20][10/235]	lr: 1.714e-01, eta: 0:08:02, time: 0.332, data_time: 0.208, memory: 701, top-1: 55.0781, top-5: 78.3398, loss_main: 1.0574, loss_aux: 0.7213, loss: 3.0724
2023-02-02 22:50:32,711 - mmcls - INFO - Epoch [20][20/235]	lr: 1.711e-01, eta: 0:08:03, time: 0.126, data_time: 0.005, memory: 701, top-1: 45.0781, top-5: 70.2930, loss_main: 1.1277, loss_aux: 0.9438, loss: 3.7975
2023-02-02 22:50:33,932 - mmcls - INFO - Epoch [20][30/235]	lr: 1.708e-01, eta: 0:08:03, time: 0.123, data_time: 0.005, memory: 701, top-1: 55.3125, top-5: 79.6875, loss_main: 1.0523, loss_aux: 0.9007, loss: 3.1658
2023-02-02 22:50:35,056 - mmcls - INFO - Epoch [20][40/235]	lr: 1.705e-01, eta: 0:08:03, time: 0.106, data_time: 0.004, memory: 701, top-1: 53.5742, top-5: 73.5547, loss_main: 0.9406, loss_aux: 0.8683, loss: 2.9593
2023-02-02 22:50:36,001 - mmcls - INFO - Epoch [20][50/235]	lr: 1.702e-01, eta: 0:08:03, time: 0.099, data_time: 0.010, memory: 701, top-1: 38.5156, top-5: 65.7812, loss_main: 1.1095, loss_aux: 1.0957, loss: 4.4335
2023-02-02 22:50:36,983 - mmcls - INFO - Epoch [20][60/235]	lr: 1.699e-01, eta: 0:08:03, time: 0.102, data_time: 0.006, memory: 701, top-1: 54.5898, top-5: 78.5352, loss_main: 1.0821, loss_aux: 0.9603, loss: 2.9848
2023-02-02 22:50:38,163 - mmcls - INFO - Epoch [20][70/235]	lr: 1.696e-01, eta: 0:08:03, time: 0.108, data_time: 0.001, memory: 701, top-1: 57.1094, top-5: 81.7383, loss_main: 1.0836, loss_aux: 0.9218, loss: 3.0319
2023-02-02 22:50:39,278 - mmcls - INFO - Epoch [20][80/235]	lr: 1.692e-01, eta: 0:08:03, time: 0.115, data_time: 0.011, memory: 701, top-1: 51.0938, top-5: 70.7812, loss_main: 0.8461, loss_aux: 0.7211, loss: 3.2989
2023-02-02 22:50:40,397 - mmcls - INFO - Epoch [20][90/235]	lr: 1.689e-01, eta: 0:08:03, time: 0.118, data_time: 0.007, memory: 701, top-1: 39.0039, top-5: 64.8242, loss_main: 1.1631, loss_aux: 1.1933, loss: 4.5170
2023-02-02 22:50:41,169 - mmcls - INFO - Epoch [20][100/235]	lr: 1.686e-01, eta: 0:08:02, time: 0.075, data_time: 0.001, memory: 701, top-1: 49.2383, top-5: 73.5742, loss_main: 0.9770, loss_aux: 0.9450, loss: 3.6035
2023-02-02 22:50:41,829 - mmcls - INFO - Epoch [20][110/235]	lr: 1.683e-01, eta: 0:08:02, time: 0.068, data_time: 0.003, memory: 701, top-1: 46.9922, top-5: 68.8477, loss_main: 0.9842, loss_aux: 0.8254, loss: 3.6630
2023-02-02 22:50:42,595 - mmcls - INFO - Epoch [20][120/235]	lr: 1.680e-01, eta: 0:08:01, time: 0.074, data_time: 0.001, memory: 701, top-1: 43.8672, top-5: 67.8320, loss_main: 1.1249, loss_aux: 1.1782, loss: 3.9354
2023-02-02 22:50:43,533 - mmcls - INFO - Epoch [20][130/235]	lr: 1.677e-01, eta: 0:08:01, time: 0.094, data_time: 0.003, memory: 701, top-1: 61.6016, top-5: 83.0469, loss_main: 1.0334, loss_aux: 1.1882, loss: 2.4658
2023-02-02 22:50:44,302 - mmcls - INFO - Epoch [20][140/235]	lr: 1.674e-01, eta: 0:08:00, time: 0.077, data_time: 0.004, memory: 701, top-1: 48.4375, top-5: 75.0586, loss_main: 1.0951, loss_aux: 1.1478, loss: 3.9097
2023-02-02 22:50:45,142 - mmcls - INFO - Epoch [20][150/235]	lr: 1.671e-01, eta: 0:08:00, time: 0.086, data_time: 0.003, memory: 701, top-1: 49.2773, top-5: 70.8984, loss_main: 1.0606, loss_aux: 0.8970, loss: 3.6507
2023-02-02 22:50:45,981 - mmcls - INFO - Epoch [20][160/235]	lr: 1.668e-01, eta: 0:07:59, time: 0.076, data_time: 0.001, memory: 701, top-1: 48.0469, top-5: 70.7617, loss_main: 1.1417, loss_aux: 1.0824, loss: 3.5631
2023-02-02 22:50:47,279 - mmcls - INFO - Epoch [20][170/235]	lr: 1.664e-01, eta: 0:08:00, time: 0.133, data_time: 0.009, memory: 701, top-1: 61.9531, top-5: 85.9766, loss_main: 1.0721, loss_aux: 0.9588, loss: 2.7996
2023-02-02 22:50:48,478 - mmcls - INFO - Epoch [20][180/235]	lr: 1.661e-01, eta: 0:08:00, time: 0.121, data_time: 0.005, memory: 701, top-1: 54.2969, top-5: 76.7383, loss_main: 0.9528, loss_aux: 0.8854, loss: 2.9667
2023-02-02 22:50:49,562 - mmcls - INFO - Epoch [20][190/235]	lr: 1.658e-01, eta: 0:08:00, time: 0.110, data_time: 0.004, memory: 701, top-1: 64.6484, top-5: 87.7344, loss_main: 0.9406, loss_aux: 0.9256, loss: 2.3182
2023-02-02 22:50:50,701 - mmcls - INFO - Epoch [20][200/235]	lr: 1.655e-01, eta: 0:08:00, time: 0.111, data_time: 0.003, memory: 701, top-1: 45.1562, top-5: 68.3203, loss_main: 0.9472, loss_aux: 1.0051, loss: 3.8659
2023-02-02 22:50:51,571 - mmcls - INFO - Epoch [20][210/235]	lr: 1.652e-01, eta: 0:08:00, time: 0.092, data_time: 0.006, memory: 701, top-1: 41.0938, top-5: 61.5625, loss_main: 1.0007, loss_aux: 0.9078, loss: 4.1484
2023-02-02 22:50:52,316 - mmcls - INFO - Epoch [20][220/235]	lr: 1.649e-01, eta: 0:07:59, time: 0.074, data_time: 0.001, memory: 701, top-1: 47.4023, top-5: 72.7930, loss_main: 1.0530, loss_aux: 0.9732, loss: 3.8687
2023-02-02 22:50:52,949 - mmcls - INFO - Epoch [20][230/235]	lr: 1.646e-01, eta: 0:07:58, time: 0.062, data_time: 0.002, memory: 701, top-1: 37.1680, top-5: 58.2227, loss_main: 1.0521, loss_aux: 1.1743, loss: 4.3277
2023-02-02 22:50:53,524 - mmcls - INFO - Saving checkpoint at 20 epochs
2023-02-02 22:50:56,070 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:50:56,082 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_14.pth was removed
2023-02-02 22:50:56,312 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_20.pth.
2023-02-02 22:50:56,312 - mmcls - INFO - Best acc is 68.7167 at 20 epoch.
2023-02-02 22:50:56,312 - mmcls - INFO - Epoch(val) [20][12]	acc: 68.7167
2023-02-02 22:50:58,942 - mmcls - INFO - Epoch [21][10/235]	lr: 1.641e-01, eta: 0:08:00, time: 0.262, data_time: 0.205, memory: 701, top-1: 52.9492, top-5: 76.5430, loss_main: 1.0688, loss_aux: 0.8282, loss: 3.4570
2023-02-02 22:50:59,721 - mmcls - INFO - Epoch [21][20/235]	lr: 1.638e-01, eta: 0:07:59, time: 0.078, data_time: 0.002, memory: 701, top-1: 57.5195, top-5: 77.6367, loss_main: 0.9433, loss_aux: 0.8151, loss: 2.8340
2023-02-02 22:51:00,533 - mmcls - INFO - Epoch [21][30/235]	lr: 1.635e-01, eta: 0:07:59, time: 0.079, data_time: 0.001, memory: 701, top-1: 54.6875, top-5: 75.9766, loss_main: 0.8101, loss_aux: 0.7375, loss: 3.1104
2023-02-02 22:51:01,890 - mmcls - INFO - Epoch [21][40/235]	lr: 1.631e-01, eta: 0:07:59, time: 0.134, data_time: 0.004, memory: 701, top-1: 45.0000, top-5: 67.7930, loss_main: 1.0506, loss_aux: 0.8749, loss: 4.0677
2023-02-02 22:51:02,931 - mmcls - INFO - Epoch [21][50/235]	lr: 1.628e-01, eta: 0:07:59, time: 0.104, data_time: 0.005, memory: 701, top-1: 38.8867, top-5: 61.1328, loss_main: 1.1326, loss_aux: 1.1022, loss: 4.2074
2023-02-02 22:51:04,045 - mmcls - INFO - Epoch [21][60/235]	lr: 1.625e-01, eta: 0:07:59, time: 0.111, data_time: 0.005, memory: 701, top-1: 49.6875, top-5: 73.6523, loss_main: 0.9554, loss_aux: 0.8999, loss: 3.6026
2023-02-02 22:51:04,951 - mmcls - INFO - Epoch [21][70/235]	lr: 1.622e-01, eta: 0:07:58, time: 0.093, data_time: 0.005, memory: 701, top-1: 53.9453, top-5: 72.1289, loss_main: 0.9505, loss_aux: 0.7888, loss: 2.8782
2023-02-02 22:51:05,969 - mmcls - INFO - Epoch [21][80/235]	lr: 1.619e-01, eta: 0:07:58, time: 0.104, data_time: 0.003, memory: 701, top-1: 53.1836, top-5: 77.0508, loss_main: 1.0142, loss_aux: 1.0145, loss: 3.2941
2023-02-02 22:51:06,756 - mmcls - INFO - Epoch [21][90/235]	lr: 1.616e-01, eta: 0:07:58, time: 0.076, data_time: 0.001, memory: 701, top-1: 57.7344, top-5: 77.9688, loss_main: 0.9243, loss_aux: 0.9477, loss: 2.7914
2023-02-02 22:51:07,537 - mmcls - INFO - Epoch [21][100/235]	lr: 1.612e-01, eta: 0:07:57, time: 0.075, data_time: 0.004, memory: 701, top-1: 49.8242, top-5: 71.6406, loss_main: 0.8232, loss_aux: 0.8380, loss: 3.4520
2023-02-02 22:51:08,767 - mmcls - INFO - Epoch [21][110/235]	lr: 1.609e-01, eta: 0:07:57, time: 0.123, data_time: 0.007, memory: 701, top-1: 44.6094, top-5: 68.4961, loss_main: 1.0529, loss_aux: 0.9848, loss: 3.9857
2023-02-02 22:51:09,260 - mmcls - INFO - Epoch [21][120/235]	lr: 1.606e-01, eta: 0:07:56, time: 0.056, data_time: 0.007, memory: 701, top-1: 42.5781, top-5: 63.9453, loss_main: 0.9122, loss_aux: 0.9750, loss: 3.8377
2023-02-02 22:51:09,675 - mmcls - INFO - Epoch [21][130/235]	lr: 1.603e-01, eta: 0:07:55, time: 0.042, data_time: 0.001, memory: 701, top-1: 57.8711, top-5: 75.3320, loss_main: 0.8322, loss_aux: 0.7640, loss: 2.6364
2023-02-02 22:51:09,887 - mmcls - INFO - Epoch [21][140/235]	lr: 1.600e-01, eta: 0:07:54, time: 0.021, data_time: 0.000, memory: 701, top-1: 65.8398, top-5: 88.5938, loss_main: 0.8712, loss_aux: 0.8540, loss: 2.7381
2023-02-02 22:51:10,087 - mmcls - INFO - Epoch [21][150/235]	lr: 1.596e-01, eta: 0:07:52, time: 0.020, data_time: 0.001, memory: 701, top-1: 63.5352, top-5: 82.9688, loss_main: 0.8823, loss_aux: 0.7458, loss: 1.9500
2023-02-02 22:51:10,296 - mmcls - INFO - Epoch [21][160/235]	lr: 1.593e-01, eta: 0:07:51, time: 0.021, data_time: 0.001, memory: 701, top-1: 63.4961, top-5: 86.0547, loss_main: 0.9012, loss_aux: 0.7216, loss: 2.7477
2023-02-02 22:51:10,635 - mmcls - INFO - Epoch [21][170/235]	lr: 1.590e-01, eta: 0:07:50, time: 0.031, data_time: 0.000, memory: 701, top-1: 55.0391, top-5: 79.7656, loss_main: 1.0516, loss_aux: 1.0982, loss: 3.2997
2023-02-02 22:51:11,177 - mmcls - INFO - Epoch [21][180/235]	lr: 1.587e-01, eta: 0:07:49, time: 0.055, data_time: 0.004, memory: 701, top-1: 54.8828, top-5: 80.4297, loss_main: 1.1027, loss_aux: 1.0919, loss: 3.3493
2023-02-02 22:51:11,515 - mmcls - INFO - Epoch [21][190/235]	lr: 1.584e-01, eta: 0:07:48, time: 0.031, data_time: 0.002, memory: 701, top-1: 53.6523, top-5: 75.8008, loss_main: 0.9535, loss_aux: 0.7718, loss: 3.3020
2023-02-02 22:51:11,878 - mmcls - INFO - Epoch [21][200/235]	lr: 1.580e-01, eta: 0:07:47, time: 0.040, data_time: 0.005, memory: 701, top-1: 45.7227, top-5: 66.8945, loss_main: 0.8563, loss_aux: 0.7784, loss: 3.8183
2023-02-02 22:51:12,181 - mmcls - INFO - Epoch [21][210/235]	lr: 1.577e-01, eta: 0:07:45, time: 0.031, data_time: 0.001, memory: 701, top-1: 58.7500, top-5: 80.6055, loss_main: 0.8706, loss_aux: 0.7018, loss: 2.8535
2023-02-02 22:51:12,377 - mmcls - INFO - Epoch [21][220/235]	lr: 1.574e-01, eta: 0:07:44, time: 0.020, data_time: 0.000, memory: 701, top-1: 56.7188, top-5: 79.7266, loss_main: 0.9895, loss_aux: 0.9155, loss: 2.9572
2023-02-02 22:51:12,564 - mmcls - INFO - Epoch [21][230/235]	lr: 1.571e-01, eta: 0:07:43, time: 0.018, data_time: 0.000, memory: 701, top-1: 50.6836, top-5: 72.3633, loss_main: 0.9110, loss_aux: 0.9183, loss: 3.5165
2023-02-02 22:51:12,647 - mmcls - INFO - Saving checkpoint at 21 epochs
2023-02-02 22:51:15,274 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:51:15,275 - mmcls - INFO - Epoch(val) [21][12]	acc: 67.5500
2023-02-02 22:51:18,541 - mmcls - INFO - Epoch [22][10/235]	lr: 1.566e-01, eta: 0:07:45, time: 0.316, data_time: 0.206, memory: 701, loss: 3.3029, top-1: 52.9688, top-5: 77.8906, loss_main: 1.1465, loss_aux: 1.1465
2023-02-02 22:51:19,640 - mmcls - INFO - Epoch [22][20/235]	lr: 1.563e-01, eta: 0:07:45, time: 0.117, data_time: 0.011, memory: 701, loss: 3.6611, top-1: 50.6250, top-5: 74.8633, loss_main: 1.0478, loss_aux: 1.0459
2023-02-02 22:51:20,383 - mmcls - INFO - Epoch [22][30/235]	lr: 1.560e-01, eta: 0:07:44, time: 0.073, data_time: 0.004, memory: 701, loss: 3.8943, top-1: 45.2539, top-5: 67.4023, loss_main: 0.9308, loss_aux: 1.0612
2023-02-02 22:51:21,409 - mmcls - INFO - Epoch [22][40/235]	lr: 1.556e-01, eta: 0:07:44, time: 0.104, data_time: 0.005, memory: 701, loss: 3.4246, top-1: 51.4453, top-5: 73.9648, loss_main: 0.9268, loss_aux: 0.9999
2023-02-02 22:51:22,518 - mmcls - INFO - Epoch [22][50/235]	lr: 1.553e-01, eta: 0:07:44, time: 0.108, data_time: 0.004, memory: 701, loss: 3.0495, top-1: 57.9297, top-5: 79.8242, loss_main: 0.8230, loss_aux: 0.8304
2023-02-02 22:51:23,577 - mmcls - INFO - Epoch [22][60/235]	lr: 1.550e-01, eta: 0:07:43, time: 0.109, data_time: 0.007, memory: 701, loss: 4.0381, top-1: 39.8438, top-5: 60.0977, loss_main: 0.8266, loss_aux: 0.8911
2023-02-02 22:51:24,571 - mmcls - INFO - Epoch [22][70/235]	lr: 1.547e-01, eta: 0:07:43, time: 0.101, data_time: 0.004, memory: 701, loss: 3.0751, top-1: 58.0273, top-5: 80.7227, loss_main: 0.8980, loss_aux: 1.0164
2023-02-02 22:51:25,200 - mmcls - INFO - Epoch [22][80/235]	lr: 1.543e-01, eta: 0:07:42, time: 0.063, data_time: 0.002, memory: 701, loss: 3.6273, top-1: 48.5938, top-5: 73.9844, loss_main: 0.9572, loss_aux: 0.9270
2023-02-02 22:51:26,059 - mmcls - INFO - Epoch [22][90/235]	lr: 1.540e-01, eta: 0:07:42, time: 0.080, data_time: 0.002, memory: 701, loss: 2.9582, top-1: 54.8242, top-5: 76.8750, loss_main: 0.9644, loss_aux: 0.9368
2023-02-02 22:51:26,926 - mmcls - INFO - Epoch [22][100/235]	lr: 1.537e-01, eta: 0:07:42, time: 0.093, data_time: 0.008, memory: 701, loss: 2.9015, top-1: 59.7852, top-5: 80.9570, loss_main: 0.9168, loss_aux: 0.7151
2023-02-02 22:51:27,622 - mmcls - INFO - Epoch [22][110/235]	lr: 1.534e-01, eta: 0:07:41, time: 0.068, data_time: 0.001, memory: 701, loss: 3.2896, top-1: 52.9492, top-5: 75.0586, loss_main: 0.8774, loss_aux: 0.7328
2023-02-02 22:51:28,170 - mmcls - INFO - Epoch [22][120/235]	lr: 1.531e-01, eta: 0:07:40, time: 0.056, data_time: 0.003, memory: 701, loss: 3.5094, top-1: 51.8164, top-5: 79.1016, loss_main: 1.0765, loss_aux: 1.0885
2023-02-02 22:51:29,110 - mmcls - INFO - Epoch [22][130/235]	lr: 1.527e-01, eta: 0:07:40, time: 0.089, data_time: 0.002, memory: 701, loss: 3.5437, top-1: 49.7852, top-5: 74.3359, loss_main: 1.0115, loss_aux: 0.8305
2023-02-02 22:51:30,551 - mmcls - INFO - Epoch [22][140/235]	lr: 1.524e-01, eta: 0:07:40, time: 0.147, data_time: 0.007, memory: 701, loss: 3.9802, top-1: 43.1641, top-5: 66.5039, loss_main: 1.0524, loss_aux: 0.9757
2023-02-02 22:51:31,579 - mmcls - INFO - Epoch [22][150/235]	lr: 1.521e-01, eta: 0:07:40, time: 0.102, data_time: 0.004, memory: 701, loss: 2.6244, top-1: 60.4297, top-5: 81.3086, loss_main: 0.9916, loss_aux: 0.9079
2023-02-02 22:51:32,746 - mmcls - INFO - Epoch [22][160/235]	lr: 1.518e-01, eta: 0:07:40, time: 0.117, data_time: 0.004, memory: 701, loss: 3.7050, top-1: 44.6484, top-5: 67.4414, loss_main: 1.0058, loss_aux: 1.0591
2023-02-02 22:51:33,550 - mmcls - INFO - Epoch [22][170/235]	lr: 1.514e-01, eta: 0:07:39, time: 0.081, data_time: 0.004, memory: 701, loss: 4.5686, top-1: 37.7734, top-5: 57.9102, loss_main: 0.9714, loss_aux: 0.9888
2023-02-02 22:51:34,782 - mmcls - INFO - Epoch [22][180/235]	lr: 1.511e-01, eta: 0:07:39, time: 0.125, data_time: 0.003, memory: 701, loss: 3.4246, top-1: 49.9219, top-5: 71.6211, loss_main: 0.9601, loss_aux: 0.9473
2023-02-02 22:51:35,683 - mmcls - INFO - Epoch [22][190/235]	lr: 1.508e-01, eta: 0:07:39, time: 0.086, data_time: 0.002, memory: 701, loss: 2.9276, top-1: 57.7539, top-5: 80.8203, loss_main: 1.0371, loss_aux: 0.9477
2023-02-02 22:51:36,721 - mmcls - INFO - Epoch [22][200/235]	lr: 1.505e-01, eta: 0:07:38, time: 0.104, data_time: 0.006, memory: 701, loss: 3.2257, top-1: 47.2070, top-5: 64.4727, loss_main: 0.9381, loss_aux: 0.9110
2023-02-02 22:51:37,719 - mmcls - INFO - Epoch [22][210/235]	lr: 1.501e-01, eta: 0:07:38, time: 0.102, data_time: 0.005, memory: 701, loss: 3.2153, top-1: 53.3789, top-5: 75.5469, loss_main: 1.0436, loss_aux: 0.9997
2023-02-02 22:51:38,843 - mmcls - INFO - Epoch [22][220/235]	lr: 1.498e-01, eta: 0:07:38, time: 0.113, data_time: 0.003, memory: 701, loss: 3.6912, top-1: 45.0586, top-5: 65.1758, loss_main: 0.9532, loss_aux: 1.0211
2023-02-02 22:51:39,929 - mmcls - INFO - Epoch [22][230/235]	lr: 1.495e-01, eta: 0:07:38, time: 0.105, data_time: 0.002, memory: 701, loss: 2.9932, top-1: 56.9141, top-5: 78.0469, loss_main: 1.0002, loss_aux: 0.9435
2023-02-02 22:51:40,227 - mmcls - INFO - Saving checkpoint at 22 epochs
2023-02-02 22:51:42,745 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:51:42,759 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_20.pth was removed
2023-02-02 22:51:42,995 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_22.pth.
2023-02-02 22:51:42,995 - mmcls - INFO - Best acc is 70.9333 at 22 epoch.
2023-02-02 22:51:42,996 - mmcls - INFO - Epoch(val) [22][12]	acc: 70.9333
2023-02-02 22:51:46,371 - mmcls - INFO - Epoch [23][10/235]	lr: 1.490e-01, eta: 0:07:40, time: 0.327, data_time: 0.208, memory: 701, loss: 3.4498, top-1: 51.1914, top-5: 73.7695, loss_main: 1.0363, loss_aux: 0.9601
2023-02-02 22:51:47,316 - mmcls - INFO - Epoch [23][20/235]	lr: 1.487e-01, eta: 0:07:39, time: 0.100, data_time: 0.011, memory: 701, loss: 3.9905, top-1: 41.9531, top-5: 63.4766, loss_main: 0.9258, loss_aux: 1.1034
2023-02-02 22:51:48,567 - mmcls - INFO - Epoch [23][30/235]	lr: 1.484e-01, eta: 0:07:39, time: 0.127, data_time: 0.005, memory: 701, loss: 4.2610, top-1: 39.5898, top-5: 62.1680, loss_main: 0.9329, loss_aux: 1.0073
2023-02-02 22:51:49,670 - mmcls - INFO - Epoch [23][40/235]	lr: 1.480e-01, eta: 0:07:39, time: 0.108, data_time: 0.003, memory: 701, loss: 3.3996, top-1: 52.0117, top-5: 76.7969, loss_main: 1.0501, loss_aux: 1.0669
2023-02-02 22:51:50,615 - mmcls - INFO - Epoch [23][50/235]	lr: 1.477e-01, eta: 0:07:39, time: 0.098, data_time: 0.005, memory: 701, loss: 3.4846, top-1: 47.9883, top-5: 70.0000, loss_main: 0.8961, loss_aux: 0.9305
2023-02-02 22:51:51,538 - mmcls - INFO - Epoch [23][60/235]	lr: 1.474e-01, eta: 0:07:38, time: 0.093, data_time: 0.002, memory: 701, loss: 2.1492, top-1: 68.3984, top-5: 90.3320, loss_main: 0.8758, loss_aux: 0.8871
2023-02-02 22:51:52,687 - mmcls - INFO - Epoch [23][70/235]	lr: 1.470e-01, eta: 0:07:38, time: 0.112, data_time: 0.002, memory: 701, loss: 2.8318, top-1: 60.2148, top-5: 81.6602, loss_main: 0.9642, loss_aux: 0.9303
2023-02-02 22:51:53,908 - mmcls - INFO - Epoch [23][80/235]	lr: 1.467e-01, eta: 0:07:38, time: 0.124, data_time: 0.005, memory: 701, loss: 3.9160, top-1: 44.9023, top-5: 67.9883, loss_main: 0.9539, loss_aux: 0.8968
2023-02-02 22:51:54,883 - mmcls - INFO - Epoch [23][90/235]	lr: 1.464e-01, eta: 0:07:38, time: 0.094, data_time: 0.003, memory: 701, loss: 3.1248, top-1: 53.8086, top-5: 75.9180, loss_main: 0.7468, loss_aux: 0.7865
2023-02-02 22:51:56,045 - mmcls - INFO - Epoch [23][100/235]	lr: 1.461e-01, eta: 0:07:37, time: 0.118, data_time: 0.006, memory: 701, loss: 4.0673, top-1: 42.6172, top-5: 64.2188, loss_main: 0.8762, loss_aux: 0.9493
2023-02-02 22:51:56,719 - mmcls - INFO - Epoch [23][110/235]	lr: 1.457e-01, eta: 0:07:37, time: 0.068, data_time: 0.004, memory: 701, loss: 3.0618, top-1: 55.8203, top-5: 78.7305, loss_main: 1.0486, loss_aux: 0.9201
2023-02-02 22:51:57,437 - mmcls - INFO - Epoch [23][120/235]	lr: 1.454e-01, eta: 0:07:36, time: 0.072, data_time: 0.003, memory: 701, loss: 2.3587, top-1: 64.9609, top-5: 84.3164, loss_main: 0.8141, loss_aux: 0.7584
2023-02-02 22:51:58,287 - mmcls - INFO - Epoch [23][130/235]	lr: 1.451e-01, eta: 0:07:36, time: 0.087, data_time: 0.003, memory: 701, loss: 2.8037, top-1: 63.8281, top-5: 85.4102, loss_main: 0.8131, loss_aux: 0.7505
2023-02-02 22:51:59,025 - mmcls - INFO - Epoch [23][140/235]	lr: 1.448e-01, eta: 0:07:35, time: 0.070, data_time: 0.001, memory: 701, loss: 4.4515, top-1: 37.7539, top-5: 57.8125, loss_main: 0.8314, loss_aux: 0.9972
2023-02-02 22:51:59,724 - mmcls - INFO - Epoch [23][150/235]	lr: 1.444e-01, eta: 0:07:34, time: 0.072, data_time: 0.005, memory: 701, loss: 4.0176, top-1: 48.4375, top-5: 72.7539, loss_main: 0.9012, loss_aux: 1.1610
2023-02-02 22:52:00,320 - mmcls - INFO - Epoch [23][160/235]	lr: 1.441e-01, eta: 0:07:33, time: 0.060, data_time: 0.003, memory: 701, loss: 2.9940, top-1: 56.5234, top-5: 78.0273, loss_main: 0.8531, loss_aux: 0.8474
2023-02-02 22:52:00,977 - mmcls - INFO - Epoch [23][170/235]	lr: 1.438e-01, eta: 0:07:33, time: 0.068, data_time: 0.003, memory: 701, loss: 2.9094, top-1: 55.0781, top-5: 73.1836, loss_main: 0.7994, loss_aux: 0.8239
2023-02-02 22:52:01,715 - mmcls - INFO - Epoch [23][180/235]	lr: 1.434e-01, eta: 0:07:32, time: 0.072, data_time: 0.001, memory: 701, loss: 4.0028, top-1: 46.3867, top-5: 66.8555, loss_main: 0.9139, loss_aux: 0.9176
2023-02-02 22:52:02,348 - mmcls - INFO - Epoch [23][190/235]	lr: 1.431e-01, eta: 0:07:31, time: 0.063, data_time: 0.003, memory: 701, loss: 3.8168, top-1: 42.2070, top-5: 61.4062, loss_main: 0.9007, loss_aux: 0.9270
2023-02-02 22:52:02,991 - mmcls - INFO - Epoch [23][200/235]	lr: 1.428e-01, eta: 0:07:30, time: 0.066, data_time: 0.003, memory: 701, loss: 2.9825, top-1: 58.0859, top-5: 79.2773, loss_main: 0.7837, loss_aux: 0.7209
2023-02-02 22:52:03,535 - mmcls - INFO - Epoch [23][210/235]	lr: 1.425e-01, eta: 0:07:29, time: 0.054, data_time: 0.001, memory: 701, loss: 3.5395, top-1: 52.5781, top-5: 77.5977, loss_main: 0.9792, loss_aux: 0.9797
2023-02-02 22:52:04,221 - mmcls - INFO - Epoch [23][220/235]	lr: 1.421e-01, eta: 0:07:29, time: 0.068, data_time: 0.001, memory: 701, loss: 3.6126, top-1: 49.4336, top-5: 70.5078, loss_main: 0.8060, loss_aux: 1.0646
2023-02-02 22:52:04,862 - mmcls - INFO - Epoch [23][230/235]	lr: 1.418e-01, eta: 0:07:28, time: 0.060, data_time: 0.002, memory: 701, loss: 3.7458, top-1: 50.4102, top-5: 75.7812, loss_main: 0.9552, loss_aux: 1.0588
2023-02-02 22:52:05,253 - mmcls - INFO - Saving checkpoint at 23 epochs
2023-02-02 22:52:07,752 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:52:07,753 - mmcls - INFO - Epoch(val) [23][12]	acc: 69.8333
2023-02-02 22:52:10,524 - mmcls - INFO - Epoch [24][10/235]	lr: 1.413e-01, eta: 0:07:29, time: 0.273, data_time: 0.205, memory: 701, top-1: 60.6055, top-5: 80.8008, loss_main: 0.9559, loss_aux: 0.7042, loss: 2.4522
2023-02-02 22:52:11,310 - mmcls - INFO - Epoch [24][20/235]	lr: 1.410e-01, eta: 0:07:28, time: 0.076, data_time: 0.004, memory: 701, top-1: 55.8398, top-5: 74.5508, loss_main: 0.8991, loss_aux: 0.8677, loss: 2.9260
2023-02-02 22:52:12,029 - mmcls - INFO - Epoch [24][30/235]	lr: 1.407e-01, eta: 0:07:27, time: 0.075, data_time: 0.007, memory: 701, top-1: 54.8828, top-5: 81.2500, loss_main: 1.0634, loss_aux: 1.1520, loss: 3.3589
2023-02-02 22:52:12,761 - mmcls - INFO - Epoch [24][40/235]	lr: 1.403e-01, eta: 0:07:27, time: 0.073, data_time: 0.004, memory: 701, top-1: 41.7773, top-5: 62.3047, loss_main: 0.9600, loss_aux: 0.9428, loss: 3.8425
2023-02-02 22:52:13,461 - mmcls - INFO - Epoch [24][50/235]	lr: 1.400e-01, eta: 0:07:26, time: 0.072, data_time: 0.004, memory: 701, top-1: 56.6406, top-5: 80.1562, loss_main: 1.0257, loss_aux: 1.0658, loss: 3.2110
2023-02-02 22:52:13,885 - mmcls - INFO - Epoch [24][60/235]	lr: 1.397e-01, eta: 0:07:25, time: 0.043, data_time: 0.001, memory: 701, top-1: 54.9219, top-5: 78.5938, loss_main: 0.9590, loss_aux: 1.0991, loss: 3.2192
2023-02-02 22:52:14,084 - mmcls - INFO - Epoch [24][70/235]	lr: 1.393e-01, eta: 0:07:24, time: 0.019, data_time: 0.000, memory: 701, top-1: 48.2812, top-5: 66.4258, loss_main: 0.8286, loss_aux: 0.9258, loss: 3.4880
2023-02-02 22:52:14,293 - mmcls - INFO - Epoch [24][80/235]	lr: 1.390e-01, eta: 0:07:22, time: 0.021, data_time: 0.001, memory: 701, top-1: 49.4922, top-5: 71.9531, loss_main: 0.9343, loss_aux: 0.9888, loss: 3.6296
2023-02-02 22:52:14,497 - mmcls - INFO - Epoch [24][90/235]	lr: 1.387e-01, eta: 0:07:21, time: 0.021, data_time: 0.000, memory: 701, top-1: 51.3867, top-5: 77.5195, loss_main: 1.0420, loss_aux: 1.0631, loss: 3.5994
2023-02-02 22:52:14,709 - mmcls - INFO - Epoch [24][100/235]	lr: 1.384e-01, eta: 0:07:20, time: 0.021, data_time: 0.000, memory: 701, top-1: 51.5430, top-5: 74.5117, loss_main: 1.0363, loss_aux: 1.1220, loss: 3.7296
2023-02-02 22:52:14,931 - mmcls - INFO - Epoch [24][110/235]	lr: 1.380e-01, eta: 0:07:19, time: 0.022, data_time: 0.000, memory: 701, top-1: 64.1211, top-5: 83.8477, loss_main: 0.8039, loss_aux: 0.8944, loss: 2.3929
2023-02-02 22:52:15,141 - mmcls - INFO - Epoch [24][120/235]	lr: 1.377e-01, eta: 0:07:17, time: 0.021, data_time: 0.001, memory: 701, top-1: 51.8945, top-5: 76.3086, loss_main: 1.1189, loss_aux: 1.1889, loss: 3.5621
2023-02-02 22:52:15,362 - mmcls - INFO - Epoch [24][130/235]	lr: 1.374e-01, eta: 0:07:16, time: 0.022, data_time: 0.000, memory: 701, top-1: 47.3633, top-5: 63.2031, loss_main: 0.7176, loss_aux: 0.7322, loss: 3.2663
2023-02-02 22:52:15,818 - mmcls - INFO - Epoch [24][140/235]	lr: 1.370e-01, eta: 0:07:15, time: 0.045, data_time: 0.000, memory: 701, top-1: 53.1445, top-5: 73.7891, loss_main: 0.9264, loss_aux: 0.9405, loss: 3.2743
2023-02-02 22:52:16,315 - mmcls - INFO - Epoch [24][150/235]	lr: 1.367e-01, eta: 0:07:14, time: 0.050, data_time: 0.001, memory: 701, top-1: 62.4609, top-5: 86.2109, loss_main: 0.8903, loss_aux: 0.9003, loss: 2.8006
2023-02-02 22:52:16,523 - mmcls - INFO - Epoch [24][160/235]	lr: 1.364e-01, eta: 0:07:13, time: 0.021, data_time: 0.001, memory: 701, top-1: 41.7969, top-5: 60.0781, loss_main: 0.9085, loss_aux: 0.8999, loss: 3.8838
2023-02-02 22:52:16,727 - mmcls - INFO - Epoch [24][170/235]	lr: 1.360e-01, eta: 0:07:12, time: 0.020, data_time: 0.000, memory: 701, top-1: 52.8711, top-5: 69.9219, loss_main: 0.7822, loss_aux: 0.6662, loss: 2.8328
2023-02-02 22:52:16,928 - mmcls - INFO - Epoch [24][180/235]	lr: 1.357e-01, eta: 0:07:10, time: 0.020, data_time: 0.000, memory: 701, top-1: 62.1875, top-5: 85.4688, loss_main: 0.9348, loss_aux: 0.9943, loss: 2.9012
2023-02-02 22:52:17,132 - mmcls - INFO - Epoch [24][190/235]	lr: 1.354e-01, eta: 0:07:09, time: 0.020, data_time: 0.000, memory: 701, top-1: 69.9219, top-5: 90.3516, loss_main: 0.9292, loss_aux: 0.9053, loss: 1.9194
2023-02-02 22:52:17,369 - mmcls - INFO - Epoch [24][200/235]	lr: 1.351e-01, eta: 0:07:08, time: 0.024, data_time: 0.001, memory: 701, top-1: 57.1680, top-5: 76.8750, loss_main: 0.7766, loss_aux: 0.7336, loss: 3.0722
2023-02-02 22:52:17,596 - mmcls - INFO - Epoch [24][210/235]	lr: 1.347e-01, eta: 0:07:07, time: 0.023, data_time: 0.001, memory: 701, top-1: 44.2969, top-5: 66.1523, loss_main: 0.8757, loss_aux: 0.9210, loss: 4.0145
2023-02-02 22:52:17,810 - mmcls - INFO - Epoch [24][220/235]	lr: 1.344e-01, eta: 0:07:06, time: 0.022, data_time: 0.001, memory: 701, top-1: 38.9062, top-5: 59.3359, loss_main: 0.9303, loss_aux: 0.9445, loss: 4.3077
2023-02-02 22:52:18,026 - mmcls - INFO - Epoch [24][230/235]	lr: 1.341e-01, eta: 0:07:04, time: 0.022, data_time: 0.000, memory: 701, top-1: 61.9922, top-5: 83.1641, loss_main: 0.9806, loss_aux: 0.9667, loss: 2.6522
2023-02-02 22:52:18,121 - mmcls - INFO - Saving checkpoint at 24 epochs
2023-02-02 22:52:20,637 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:52:20,638 - mmcls - INFO - Epoch(val) [24][12]	acc: 69.2167
2023-02-02 22:52:23,499 - mmcls - INFO - Epoch [25][10/235]	lr: 1.336e-01, eta: 0:07:05, time: 0.280, data_time: 0.206, memory: 701, top-1: 34.5703, top-5: 55.3516, loss_main: 0.9586, loss_aux: 0.9854, loss: 4.4808
2023-02-02 22:52:24,211 - mmcls - INFO - Epoch [25][20/235]	lr: 1.332e-01, eta: 0:07:05, time: 0.076, data_time: 0.007, memory: 701, top-1: 47.8125, top-5: 69.8047, loss_main: 0.9479, loss_aux: 1.0349, loss: 3.5707
2023-02-02 22:52:24,829 - mmcls - INFO - Epoch [25][30/235]	lr: 1.329e-01, eta: 0:07:04, time: 0.060, data_time: 0.002, memory: 701, top-1: 58.4961, top-5: 78.2617, loss_main: 0.9625, loss_aux: 1.0014, loss: 2.8479
2023-02-02 22:52:25,476 - mmcls - INFO - Epoch [25][40/235]	lr: 1.326e-01, eta: 0:07:03, time: 0.068, data_time: 0.004, memory: 701, top-1: 46.4258, top-5: 69.2383, loss_main: 0.9725, loss_aux: 0.9609, loss: 3.8983
2023-02-02 22:52:26,160 - mmcls - INFO - Epoch [25][50/235]	lr: 1.322e-01, eta: 0:07:02, time: 0.069, data_time: 0.002, memory: 701, top-1: 64.8438, top-5: 83.9648, loss_main: 0.8562, loss_aux: 0.8726, loss: 2.3479
2023-02-02 22:52:26,953 - mmcls - INFO - Epoch [25][60/235]	lr: 1.319e-01, eta: 0:07:02, time: 0.079, data_time: 0.001, memory: 701, top-1: 39.6680, top-5: 62.8711, loss_main: 0.9476, loss_aux: 1.0256, loss: 4.3606
2023-02-02 22:52:27,689 - mmcls - INFO - Epoch [25][70/235]	lr: 1.316e-01, eta: 0:07:01, time: 0.075, data_time: 0.002, memory: 701, top-1: 65.5273, top-5: 84.1016, loss_main: 0.7213, loss_aux: 0.6527, loss: 2.3007
2023-02-02 22:52:28,406 - mmcls - INFO - Epoch [25][80/235]	lr: 1.312e-01, eta: 0:07:00, time: 0.071, data_time: 0.001, memory: 701, top-1: 46.2891, top-5: 67.4805, loss_main: 0.9780, loss_aux: 0.8812, loss: 3.5911
2023-02-02 22:52:29,206 - mmcls - INFO - Epoch [25][90/235]	lr: 1.309e-01, eta: 0:07:00, time: 0.078, data_time: 0.002, memory: 701, top-1: 32.8516, top-5: 57.5977, loss_main: 1.1240, loss_aux: 1.0671, loss: 4.8781
2023-02-02 22:52:30,027 - mmcls - INFO - Epoch [25][100/235]	lr: 1.306e-01, eta: 0:06:59, time: 0.082, data_time: 0.004, memory: 701, top-1: 47.0117, top-5: 72.1289, loss_main: 0.9177, loss_aux: 1.0385, loss: 3.9653
2023-02-02 22:52:30,747 - mmcls - INFO - Epoch [25][110/235]	lr: 1.303e-01, eta: 0:06:59, time: 0.072, data_time: 0.004, memory: 701, top-1: 50.4297, top-5: 72.8906, loss_main: 0.9504, loss_aux: 1.1014, loss: 3.3234
2023-02-02 22:52:31,436 - mmcls - INFO - Epoch [25][120/235]	lr: 1.299e-01, eta: 0:06:58, time: 0.070, data_time: 0.004, memory: 701, top-1: 52.5391, top-5: 73.0859, loss_main: 0.9420, loss_aux: 1.2093, loss: 3.0187
2023-02-02 22:52:32,195 - mmcls - INFO - Epoch [25][130/235]	lr: 1.296e-01, eta: 0:06:57, time: 0.075, data_time: 0.002, memory: 701, top-1: 50.8789, top-5: 75.8984, loss_main: 0.9764, loss_aux: 0.9921, loss: 3.6347
2023-02-02 22:52:32,868 - mmcls - INFO - Epoch [25][140/235]	lr: 1.293e-01, eta: 0:06:56, time: 0.067, data_time: 0.003, memory: 701, top-1: 56.3281, top-5: 77.4609, loss_main: 0.9292, loss_aux: 1.0272, loss: 3.0870
2023-02-02 22:52:33,537 - mmcls - INFO - Epoch [25][150/235]	lr: 1.289e-01, eta: 0:06:56, time: 0.068, data_time: 0.003, memory: 701, top-1: 50.4102, top-5: 73.3008, loss_main: 0.9845, loss_aux: 1.0308, loss: 3.5534
2023-02-02 22:52:34,139 - mmcls - INFO - Epoch [25][160/235]	lr: 1.286e-01, eta: 0:06:55, time: 0.060, data_time: 0.001, memory: 701, top-1: 56.9531, top-5: 75.4688, loss_main: 0.9527, loss_aux: 1.0557, loss: 2.7641
2023-02-02 22:52:34,886 - mmcls - INFO - Epoch [25][170/235]	lr: 1.283e-01, eta: 0:06:54, time: 0.074, data_time: 0.001, memory: 701, top-1: 41.0742, top-5: 61.6992, loss_main: 0.8376, loss_aux: 1.0089, loss: 4.0311
2023-02-02 22:52:35,691 - mmcls - INFO - Epoch [25][180/235]	lr: 1.279e-01, eta: 0:06:54, time: 0.077, data_time: 0.002, memory: 701, top-1: 54.5508, top-5: 77.4414, loss_main: 0.8788, loss_aux: 0.8427, loss: 3.3926
2023-02-02 22:52:36,478 - mmcls - INFO - Epoch [25][190/235]	lr: 1.276e-01, eta: 0:06:53, time: 0.082, data_time: 0.005, memory: 701, top-1: 45.6055, top-5: 63.0664, loss_main: 0.8356, loss_aux: 0.8815, loss: 3.4819
2023-02-02 22:52:37,169 - mmcls - INFO - Epoch [25][200/235]	lr: 1.273e-01, eta: 0:06:52, time: 0.068, data_time: 0.003, memory: 701, top-1: 64.7461, top-5: 87.2070, loss_main: 0.8893, loss_aux: 1.0210, loss: 2.7276
2023-02-02 22:52:37,847 - mmcls - INFO - Epoch [25][210/235]	lr: 1.269e-01, eta: 0:06:52, time: 0.069, data_time: 0.003, memory: 701, top-1: 49.6094, top-5: 69.7656, loss_main: 0.8272, loss_aux: 0.7992, loss: 3.6487
2023-02-02 22:52:38,475 - mmcls - INFO - Epoch [25][220/235]	lr: 1.266e-01, eta: 0:06:51, time: 0.062, data_time: 0.003, memory: 701, top-1: 54.9219, top-5: 78.5547, loss_main: 1.0604, loss_aux: 1.1613, loss: 3.1086
2023-02-02 22:52:39,043 - mmcls - INFO - Epoch [25][230/235]	lr: 1.263e-01, eta: 0:06:50, time: 0.058, data_time: 0.003, memory: 701, top-1: 48.6328, top-5: 69.1211, loss_main: 0.9604, loss_aux: 0.9895, loss: 3.7789
2023-02-02 22:52:39,454 - mmcls - INFO - Saving checkpoint at 25 epochs
2023-02-02 22:52:42,027 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:52:42,041 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_22.pth was removed
2023-02-02 22:52:42,272 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_25.pth.
2023-02-02 22:52:42,272 - mmcls - INFO - Best acc is 73.9667 at 25 epoch.
2023-02-02 22:52:42,272 - mmcls - INFO - Epoch(val) [25][12]	acc: 73.9667
2023-02-02 22:52:45,194 - mmcls - INFO - Epoch [26][10/235]	lr: 1.258e-01, eta: 0:06:51, time: 0.289, data_time: 0.205, memory: 701, top-1: 48.2031, top-5: 69.5508, loss_main: 1.0217, loss_aux: 1.0884, loss: 3.7464
2023-02-02 22:52:45,801 - mmcls - INFO - Epoch [26][20/235]	lr: 1.255e-01, eta: 0:06:50, time: 0.061, data_time: 0.003, memory: 701, top-1: 67.1680, top-5: 86.9336, loss_main: 1.1105, loss_aux: 1.0934, loss: 1.9726
2023-02-02 22:52:46,489 - mmcls - INFO - Epoch [26][30/235]	lr: 1.251e-01, eta: 0:06:49, time: 0.068, data_time: 0.003, memory: 701, top-1: 66.4844, top-5: 88.3398, loss_main: 0.9298, loss_aux: 1.0078, loss: 2.5388
2023-02-02 22:52:47,275 - mmcls - INFO - Epoch [26][40/235]	lr: 1.248e-01, eta: 0:06:49, time: 0.082, data_time: 0.004, memory: 701, top-1: 45.9180, top-5: 66.6406, loss_main: 0.8817, loss_aux: 1.0680, loss: 3.7329
2023-02-02 22:52:48,086 - mmcls - INFO - Epoch [26][50/235]	lr: 1.245e-01, eta: 0:06:48, time: 0.080, data_time: 0.001, memory: 701, top-1: 63.1836, top-5: 85.7617, loss_main: 1.0169, loss_aux: 1.1090, loss: 2.8154
2023-02-02 22:52:48,816 - mmcls - INFO - Epoch [26][60/235]	lr: 1.241e-01, eta: 0:06:47, time: 0.074, data_time: 0.003, memory: 701, top-1: 54.6094, top-5: 74.6484, loss_main: 1.0161, loss_aux: 1.0691, loss: 3.0973
2023-02-02 22:52:49,628 - mmcls - INFO - Epoch [26][70/235]	lr: 1.238e-01, eta: 0:06:47, time: 0.080, data_time: 0.002, memory: 701, top-1: 51.4844, top-5: 73.6523, loss_main: 0.8763, loss_aux: 0.8518, loss: 3.5646
2023-02-02 22:52:50,383 - mmcls - INFO - Epoch [26][80/235]	lr: 1.235e-01, eta: 0:06:46, time: 0.074, data_time: 0.003, memory: 701, top-1: 60.5273, top-5: 80.4688, loss_main: 0.6840, loss_aux: 0.7542, loss: 2.9307
2023-02-02 22:52:51,176 - mmcls - INFO - Epoch [26][90/235]	lr: 1.231e-01, eta: 0:06:46, time: 0.081, data_time: 0.004, memory: 701, top-1: 47.7734, top-5: 70.5664, loss_main: 0.8842, loss_aux: 0.9048, loss: 3.6312
2023-02-02 22:52:51,932 - mmcls - INFO - Epoch [26][100/235]	lr: 1.228e-01, eta: 0:06:45, time: 0.074, data_time: 0.002, memory: 701, top-1: 50.1172, top-5: 69.6484, loss_main: 0.8189, loss_aux: 0.7663, loss: 3.4419
2023-02-02 22:52:52,665 - mmcls - INFO - Epoch [26][110/235]	lr: 1.225e-01, eta: 0:06:44, time: 0.070, data_time: 0.004, memory: 701, top-1: 53.7109, top-5: 76.6406, loss_main: 1.0004, loss_aux: 1.1389, loss: 3.3179
2023-02-02 22:52:53,383 - mmcls - INFO - Epoch [26][120/235]	lr: 1.221e-01, eta: 0:06:44, time: 0.076, data_time: 0.007, memory: 701, top-1: 49.8633, top-5: 73.8672, loss_main: 1.0832, loss_aux: 1.2277, loss: 3.6635
2023-02-02 22:52:54,050 - mmcls - INFO - Epoch [26][130/235]	lr: 1.218e-01, eta: 0:06:43, time: 0.068, data_time: 0.003, memory: 701, top-1: 45.6836, top-5: 68.7891, loss_main: 1.0192, loss_aux: 1.1768, loss: 4.0515
2023-02-02 22:52:55,110 - mmcls - INFO - Epoch [26][140/235]	lr: 1.215e-01, eta: 0:06:42, time: 0.102, data_time: 0.002, memory: 701, top-1: 61.7188, top-5: 82.1289, loss_main: 0.8845, loss_aux: 1.0063, loss: 2.5837
2023-02-02 22:52:56,180 - mmcls - INFO - Epoch [26][150/235]	lr: 1.212e-01, eta: 0:06:42, time: 0.105, data_time: 0.006, memory: 701, top-1: 69.5898, top-5: 89.9609, loss_main: 0.9499, loss_aux: 1.1857, loss: 1.9566
2023-02-02 22:52:57,096 - mmcls - INFO - Epoch [26][160/235]	lr: 1.208e-01, eta: 0:06:42, time: 0.097, data_time: 0.008, memory: 701, top-1: 78.5938, top-5: 95.8203, loss_main: 0.8836, loss_aux: 1.2144, loss: 1.1245
2023-02-02 22:52:58,115 - mmcls - INFO - Epoch [26][170/235]	lr: 1.205e-01, eta: 0:06:41, time: 0.099, data_time: 0.003, memory: 701, top-1: 55.9766, top-5: 76.0156, loss_main: 0.8578, loss_aux: 0.8949, loss: 2.9409
2023-02-02 22:52:59,258 - mmcls - INFO - Epoch [26][180/235]	lr: 1.202e-01, eta: 0:06:41, time: 0.118, data_time: 0.006, memory: 701, top-1: 45.5078, top-5: 67.5391, loss_main: 1.0184, loss_aux: 1.1627, loss: 3.8400
2023-02-02 22:53:00,274 - mmcls - INFO - Epoch [26][190/235]	lr: 1.198e-01, eta: 0:06:41, time: 0.100, data_time: 0.002, memory: 701, top-1: 51.9336, top-5: 78.0469, loss_main: 1.0881, loss_aux: 1.1819, loss: 3.7210
2023-02-02 22:53:00,977 - mmcls - INFO - Epoch [26][200/235]	lr: 1.195e-01, eta: 0:06:40, time: 0.072, data_time: 0.004, memory: 701, top-1: 55.3320, top-5: 72.8125, loss_main: 0.8246, loss_aux: 0.8989, loss: 2.8732
2023-02-02 22:53:01,865 - mmcls - INFO - Epoch [26][210/235]	lr: 1.192e-01, eta: 0:06:39, time: 0.086, data_time: 0.002, memory: 701, top-1: 61.8945, top-5: 80.9766, loss_main: 0.8289, loss_aux: 0.7469, loss: 2.6308
2023-02-02 22:53:02,973 - mmcls - INFO - Epoch [26][220/235]	lr: 1.188e-01, eta: 0:06:39, time: 0.110, data_time: 0.005, memory: 701, top-1: 57.9102, top-5: 79.6680, loss_main: 0.8909, loss_aux: 0.8174, loss: 3.1326
2023-02-02 22:53:04,219 - mmcls - INFO - Epoch [26][230/235]	lr: 1.185e-01, eta: 0:06:39, time: 0.127, data_time: 0.006, memory: 701, top-1: 53.3984, top-5: 77.7539, loss_main: 0.9998, loss_aux: 0.8823, loss: 3.4739
2023-02-02 22:53:04,658 - mmcls - INFO - Saving checkpoint at 26 epochs
2023-02-02 22:53:07,218 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:53:07,219 - mmcls - INFO - Epoch(val) [26][12]	acc: 68.7667
2023-02-02 22:53:10,560 - mmcls - INFO - Epoch [27][10/235]	lr: 1.180e-01, eta: 0:06:40, time: 0.327, data_time: 0.205, memory: 701, top-1: 54.9805, top-5: 75.9766, loss_main: 0.8279, loss_aux: 0.8540, loss: 3.0744
2023-02-02 22:53:11,463 - mmcls - INFO - Epoch [27][20/235]	lr: 1.177e-01, eta: 0:06:39, time: 0.093, data_time: 0.007, memory: 701, top-1: 54.5117, top-5: 74.7461, loss_main: 0.8880, loss_aux: 0.8261, loss: 3.2722
2023-02-02 22:53:12,427 - mmcls - INFO - Epoch [27][30/235]	lr: 1.173e-01, eta: 0:06:39, time: 0.093, data_time: 0.004, memory: 701, top-1: 61.2305, top-5: 82.8320, loss_main: 0.8144, loss_aux: 0.8702, loss: 2.7304
2023-02-02 22:53:13,178 - mmcls - INFO - Epoch [27][40/235]	lr: 1.170e-01, eta: 0:06:38, time: 0.082, data_time: 0.008, memory: 701, top-1: 65.4297, top-5: 86.9531, loss_main: 0.9313, loss_aux: 1.0870, loss: 2.3957
2023-02-02 22:53:13,598 - mmcls - INFO - Epoch [27][50/235]	lr: 1.167e-01, eta: 0:06:37, time: 0.042, data_time: 0.000, memory: 701, top-1: 42.9102, top-5: 63.6133, loss_main: 1.0195, loss_aux: 1.0179, loss: 4.0962
2023-02-02 22:53:14,002 - mmcls - INFO - Epoch [27][60/235]	lr: 1.164e-01, eta: 0:06:36, time: 0.039, data_time: 0.001, memory: 701, top-1: 43.1836, top-5: 61.2500, loss_main: 0.8174, loss_aux: 0.7191, loss: 3.9249
2023-02-02 22:53:14,652 - mmcls - INFO - Epoch [27][70/235]	lr: 1.160e-01, eta: 0:06:35, time: 0.067, data_time: 0.003, memory: 701, top-1: 46.3281, top-5: 64.3164, loss_main: 0.6607, loss_aux: 0.8602, loss: 3.6872
2023-02-02 22:53:15,323 - mmcls - INFO - Epoch [27][80/235]	lr: 1.157e-01, eta: 0:06:35, time: 0.068, data_time: 0.001, memory: 701, top-1: 45.5664, top-5: 64.1211, loss_main: 0.7824, loss_aux: 0.9061, loss: 3.7451
2023-02-02 22:53:15,659 - mmcls - INFO - Epoch [27][90/235]	lr: 1.154e-01, eta: 0:06:34, time: 0.033, data_time: 0.001, memory: 701, top-1: 52.6758, top-5: 68.9062, loss_main: 0.7903, loss_aux: 0.8542, loss: 2.7988
2023-02-02 22:53:15,940 - mmcls - INFO - Epoch [27][100/235]	lr: 1.150e-01, eta: 0:06:32, time: 0.026, data_time: 0.001, memory: 701, top-1: 65.5859, top-5: 88.1445, loss_main: 0.8132, loss_aux: 0.9247, loss: 2.5277
2023-02-02 22:53:16,290 - mmcls - INFO - Epoch [27][110/235]	lr: 1.147e-01, eta: 0:06:31, time: 0.036, data_time: 0.002, memory: 701, top-1: 43.7695, top-5: 65.5469, loss_main: 0.9514, loss_aux: 1.0309, loss: 4.1443
2023-02-02 22:53:16,632 - mmcls - INFO - Epoch [27][120/235]	lr: 1.144e-01, eta: 0:06:30, time: 0.035, data_time: 0.002, memory: 701, top-1: 50.6641, top-5: 69.9219, loss_main: 0.7731, loss_aux: 0.8456, loss: 3.3656
2023-02-02 22:53:16,941 - mmcls - INFO - Epoch [27][130/235]	lr: 1.141e-01, eta: 0:06:29, time: 0.031, data_time: 0.001, memory: 701, top-1: 42.4609, top-5: 63.6328, loss_main: 0.9865, loss_aux: 0.9232, loss: 4.2324
2023-02-02 22:53:17,396 - mmcls - INFO - Epoch [27][140/235]	lr: 1.137e-01, eta: 0:06:28, time: 0.046, data_time: 0.001, memory: 701, top-1: 61.6211, top-5: 81.1914, loss_main: 0.9395, loss_aux: 0.8209, loss: 2.7874
2023-02-02 22:53:18,563 - mmcls - INFO - Epoch [27][150/235]	lr: 1.134e-01, eta: 0:06:28, time: 0.111, data_time: 0.000, memory: 701, top-1: 57.9297, top-5: 75.3906, loss_main: 0.7676, loss_aux: 0.9090, loss: 2.8830
2023-02-02 22:53:19,467 - mmcls - INFO - Epoch [27][160/235]	lr: 1.131e-01, eta: 0:06:28, time: 0.088, data_time: 0.006, memory: 701, top-1: 53.0859, top-5: 76.3086, loss_main: 0.9329, loss_aux: 0.8761, loss: 3.3763
2023-02-02 22:53:20,464 - mmcls - INFO - Epoch [27][170/235]	lr: 1.127e-01, eta: 0:06:27, time: 0.104, data_time: 0.008, memory: 701, top-1: 56.2695, top-5: 78.4766, loss_main: 0.9875, loss_aux: 1.0426, loss: 3.0830
2023-02-02 22:53:21,592 - mmcls - INFO - Epoch [27][180/235]	lr: 1.124e-01, eta: 0:06:27, time: 0.108, data_time: 0.004, memory: 701, top-1: 54.6875, top-5: 75.1367, loss_main: 0.8992, loss_aux: 0.9090, loss: 3.1056
2023-02-02 22:53:22,786 - mmcls - INFO - Epoch [27][190/235]	lr: 1.121e-01, eta: 0:06:26, time: 0.126, data_time: 0.009, memory: 701, top-1: 32.7539, top-5: 52.0117, loss_main: 0.8909, loss_aux: 0.8641, loss: 4.6411
2023-02-02 22:53:23,816 - mmcls - INFO - Epoch [27][200/235]	lr: 1.117e-01, eta: 0:06:26, time: 0.099, data_time: 0.001, memory: 701, top-1: 58.3203, top-5: 80.7031, loss_main: 0.9400, loss_aux: 0.8943, loss: 3.1504
2023-02-02 22:53:25,004 - mmcls - INFO - Epoch [27][210/235]	lr: 1.114e-01, eta: 0:06:26, time: 0.123, data_time: 0.005, memory: 701, top-1: 52.9102, top-5: 74.6289, loss_main: 0.9417, loss_aux: 0.9947, loss: 3.3909
2023-02-02 22:53:26,209 - mmcls - INFO - Epoch [27][220/235]	lr: 1.111e-01, eta: 0:06:25, time: 0.117, data_time: 0.001, memory: 701, top-1: 53.2422, top-5: 72.6562, loss_main: 0.9050, loss_aux: 0.8202, loss: 3.2625
2023-02-02 22:53:27,200 - mmcls - INFO - Epoch [27][230/235]	lr: 1.108e-01, eta: 0:06:25, time: 0.101, data_time: 0.005, memory: 701, top-1: 70.0391, top-5: 91.1914, loss_main: 0.8601, loss_aux: 0.8732, loss: 2.1582
2023-02-02 22:53:27,635 - mmcls - INFO - Saving checkpoint at 27 epochs
2023-02-02 22:53:30,408 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:53:30,423 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_25.pth was removed
2023-02-02 22:53:30,646 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_27.pth.
2023-02-02 22:53:30,646 - mmcls - INFO - Best acc is 74.0333 at 27 epoch.
2023-02-02 22:53:30,647 - mmcls - INFO - Epoch(val) [27][12]	acc: 74.0333
2023-02-02 22:53:34,093 - mmcls - INFO - Epoch [28][10/235]	lr: 1.103e-01, eta: 0:06:26, time: 0.335, data_time: 0.206, memory: 701, top-1: 50.7227, top-5: 69.5312, loss_main: 0.8702, loss_aux: 0.9189, loss: 3.2434
2023-02-02 22:53:35,377 - mmcls - INFO - Epoch [28][20/235]	lr: 1.099e-01, eta: 0:06:26, time: 0.128, data_time: 0.010, memory: 701, top-1: 59.0039, top-5: 78.8477, loss_main: 0.9190, loss_aux: 0.8667, loss: 2.6167
2023-02-02 22:53:36,984 - mmcls - INFO - Epoch [28][30/235]	lr: 1.096e-01, eta: 0:06:26, time: 0.166, data_time: 0.011, memory: 701, top-1: 59.5117, top-5: 78.7695, loss_main: 0.8407, loss_aux: 0.9815, loss: 2.8696
2023-02-02 22:53:38,586 - mmcls - INFO - Epoch [28][40/235]	lr: 1.093e-01, eta: 0:06:26, time: 0.160, data_time: 0.006, memory: 701, top-1: 68.3203, top-5: 89.8828, loss_main: 0.8970, loss_aux: 1.0893, loss: 2.2286
2023-02-02 22:53:39,980 - mmcls - INFO - Epoch [28][50/235]	lr: 1.090e-01, eta: 0:06:26, time: 0.135, data_time: 0.006, memory: 701, top-1: 56.9336, top-5: 76.0352, loss_main: 0.8397, loss_aux: 0.9293, loss: 2.9940
2023-02-02 22:53:41,457 - mmcls - INFO - Epoch [28][60/235]	lr: 1.086e-01, eta: 0:06:25, time: 0.151, data_time: 0.010, memory: 701, top-1: 45.9570, top-5: 66.4453, loss_main: 0.8631, loss_aux: 0.9222, loss: 3.4782
2023-02-02 22:53:42,890 - mmcls - INFO - Epoch [28][70/235]	lr: 1.083e-01, eta: 0:06:25, time: 0.140, data_time: 0.006, memory: 701, top-1: 59.8242, top-5: 78.7109, loss_main: 0.8217, loss_aux: 0.9426, loss: 2.6787
2023-02-02 22:53:44,403 - mmcls - INFO - Epoch [28][80/235]	lr: 1.080e-01, eta: 0:06:25, time: 0.156, data_time: 0.010, memory: 701, top-1: 48.5742, top-5: 70.2734, loss_main: 0.8978, loss_aux: 0.8796, loss: 3.6997
2023-02-02 22:53:45,877 - mmcls - INFO - Epoch [28][90/235]	lr: 1.076e-01, eta: 0:06:25, time: 0.144, data_time: 0.006, memory: 701, top-1: 60.9961, top-5: 84.3164, loss_main: 0.9767, loss_aux: 1.0353, loss: 2.7403
2023-02-02 22:53:47,099 - mmcls - INFO - Epoch [28][100/235]	lr: 1.073e-01, eta: 0:06:25, time: 0.122, data_time: 0.009, memory: 701, top-1: 66.1133, top-5: 84.8633, loss_main: 0.9744, loss_aux: 1.0813, loss: 2.1864
2023-02-02 22:53:48,334 - mmcls - INFO - Epoch [28][110/235]	lr: 1.070e-01, eta: 0:06:25, time: 0.128, data_time: 0.009, memory: 701, top-1: 56.5820, top-5: 72.2656, loss_main: 0.7174, loss_aux: 0.7822, loss: 2.6283
2023-02-02 22:53:49,899 - mmcls - INFO - Epoch [28][120/235]	lr: 1.067e-01, eta: 0:06:24, time: 0.151, data_time: 0.004, memory: 701, top-1: 57.7539, top-5: 78.4570, loss_main: 0.7367, loss_aux: 0.8468, loss: 3.1093
2023-02-02 22:53:51,332 - mmcls - INFO - Epoch [28][130/235]	lr: 1.063e-01, eta: 0:06:24, time: 0.148, data_time: 0.010, memory: 701, top-1: 49.6484, top-5: 67.8711, loss_main: 0.7598, loss_aux: 0.7691, loss: 3.4418
2023-02-02 22:53:52,708 - mmcls - INFO - Epoch [28][140/235]	lr: 1.060e-01, eta: 0:06:24, time: 0.137, data_time: 0.006, memory: 701, top-1: 80.5664, top-5: 96.3086, loss_main: 0.5957, loss_aux: 0.6206, loss: 1.2748
2023-02-02 22:53:54,137 - mmcls - INFO - Epoch [28][150/235]	lr: 1.057e-01, eta: 0:06:24, time: 0.143, data_time: 0.006, memory: 701, top-1: 68.0273, top-5: 90.0586, loss_main: 0.7700, loss_aux: 1.0023, loss: 2.6046
2023-02-02 22:53:55,621 - mmcls - INFO - Epoch [28][160/235]	lr: 1.054e-01, eta: 0:06:24, time: 0.148, data_time: 0.006, memory: 701, top-1: 36.1133, top-5: 53.6914, loss_main: 0.7728, loss_aux: 0.8589, loss: 4.2550
2023-02-02 22:53:57,115 - mmcls - INFO - Epoch [28][170/235]	lr: 1.050e-01, eta: 0:06:24, time: 0.147, data_time: 0.006, memory: 701, top-1: 55.8984, top-5: 75.5078, loss_main: 0.7381, loss_aux: 0.8874, loss: 3.0079
2023-02-02 22:53:58,737 - mmcls - INFO - Epoch [28][180/235]	lr: 1.047e-01, eta: 0:06:24, time: 0.168, data_time: 0.008, memory: 701, top-1: 54.7461, top-5: 75.8789, loss_main: 0.8704, loss_aux: 0.8754, loss: 3.4541
2023-02-02 22:54:00,201 - mmcls - INFO - Epoch [28][190/235]	lr: 1.044e-01, eta: 0:06:24, time: 0.141, data_time: 0.002, memory: 701, top-1: 60.4883, top-5: 84.1016, loss_main: 0.9057, loss_aux: 1.1334, loss: 3.1498
2023-02-02 22:54:01,588 - mmcls - INFO - Epoch [28][200/235]	lr: 1.041e-01, eta: 0:06:23, time: 0.138, data_time: 0.008, memory: 701, top-1: 49.5508, top-5: 68.0273, loss_main: 0.8610, loss_aux: 0.8965, loss: 3.3296
2023-02-02 22:54:02,959 - mmcls - INFO - Epoch [28][210/235]	lr: 1.037e-01, eta: 0:06:23, time: 0.139, data_time: 0.008, memory: 701, top-1: 43.0078, top-5: 61.9141, loss_main: 0.8164, loss_aux: 0.7869, loss: 3.8051
2023-02-02 22:54:04,413 - mmcls - INFO - Epoch [28][220/235]	lr: 1.034e-01, eta: 0:06:23, time: 0.143, data_time: 0.006, memory: 701, top-1: 62.2852, top-5: 81.3086, loss_main: 0.7511, loss_aux: 0.7429, loss: 2.6834
2023-02-02 22:54:05,961 - mmcls - INFO - Epoch [28][230/235]	lr: 1.031e-01, eta: 0:06:23, time: 0.154, data_time: 0.008, memory: 701, top-1: 52.4414, top-5: 70.7617, loss_main: 0.7088, loss_aux: 0.6987, loss: 3.3443
2023-02-02 22:54:06,463 - mmcls - INFO - Saving checkpoint at 28 epochs
2023-02-02 22:54:09,134 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:54:09,135 - mmcls - INFO - Epoch(val) [28][12]	acc: 73.1833
2023-02-02 22:54:12,574 - mmcls - INFO - Epoch [29][10/235]	lr: 1.026e-01, eta: 0:06:23, time: 0.340, data_time: 0.206, memory: 701, loss: 1.4203, top-1: 73.1445, top-5: 88.0664, loss_main: 0.4755, loss_aux: 0.6004
2023-02-02 22:54:13,951 - mmcls - INFO - Epoch [29][20/235]	lr: 1.023e-01, eta: 0:06:23, time: 0.136, data_time: 0.005, memory: 701, loss: 2.6003, top-1: 69.4336, top-5: 89.4531, loss_main: 0.7322, loss_aux: 0.9747
2023-02-02 22:54:15,485 - mmcls - INFO - Epoch [29][30/235]	lr: 1.019e-01, eta: 0:06:23, time: 0.149, data_time: 0.006, memory: 701, loss: 2.2944, top-1: 66.4648, top-5: 88.1445, loss_main: 0.8025, loss_aux: 0.9475
2023-02-02 22:54:17,076 - mmcls - INFO - Epoch [29][40/235]	lr: 1.016e-01, eta: 0:06:23, time: 0.163, data_time: 0.011, memory: 701, loss: 2.7508, top-1: 58.0469, top-5: 75.9961, loss_main: 0.7455, loss_aux: 0.7832
2023-02-02 22:54:18,598 - mmcls - INFO - Epoch [29][50/235]	lr: 1.013e-01, eta: 0:06:23, time: 0.153, data_time: 0.007, memory: 701, loss: 3.0744, top-1: 56.9922, top-5: 79.8242, loss_main: 0.8594, loss_aux: 0.9583
2023-02-02 22:54:20,090 - mmcls - INFO - Epoch [29][60/235]	lr: 1.010e-01, eta: 0:06:23, time: 0.144, data_time: 0.006, memory: 701, loss: 3.3883, top-1: 53.3789, top-5: 73.5156, loss_main: 0.8625, loss_aux: 0.9432
2023-02-02 22:54:21,785 - mmcls - INFO - Epoch [29][70/235]	lr: 1.006e-01, eta: 0:06:23, time: 0.168, data_time: 0.011, memory: 701, loss: 3.0024, top-1: 56.0547, top-5: 76.8359, loss_main: 0.9778, loss_aux: 1.0574
2023-02-02 22:54:23,381 - mmcls - INFO - Epoch [29][80/235]	lr: 1.003e-01, eta: 0:06:23, time: 0.163, data_time: 0.012, memory: 701, loss: 1.9003, top-1: 66.9531, top-5: 83.4961, loss_main: 0.8275, loss_aux: 0.8956
2023-02-02 22:54:24,813 - mmcls - INFO - Epoch [29][90/235]	lr: 9.999e-02, eta: 0:06:22, time: 0.141, data_time: 0.008, memory: 701, loss: 3.7972, top-1: 42.4805, top-5: 59.7266, loss_main: 0.5912, loss_aux: 0.8802
2023-02-02 22:54:26,245 - mmcls - INFO - Epoch [29][100/235]	lr: 9.967e-02, eta: 0:06:22, time: 0.144, data_time: 0.010, memory: 701, loss: 3.5554, top-1: 50.0000, top-5: 69.7461, loss_main: 0.7911, loss_aux: 0.8024
2023-02-02 22:54:27,804 - mmcls - INFO - Epoch [29][110/235]	lr: 9.935e-02, eta: 0:06:22, time: 0.157, data_time: 0.010, memory: 701, loss: 2.6635, top-1: 62.4609, top-5: 79.8828, loss_main: 0.7089, loss_aux: 0.6851
2023-02-02 22:54:29,256 - mmcls - INFO - Epoch [29][120/235]	lr: 9.902e-02, eta: 0:06:22, time: 0.148, data_time: 0.009, memory: 701, loss: 2.2716, top-1: 63.9844, top-5: 79.7266, loss_main: 0.6375, loss_aux: 0.6797
2023-02-02 22:54:30,552 - mmcls - INFO - Epoch [29][130/235]	lr: 9.870e-02, eta: 0:06:21, time: 0.130, data_time: 0.006, memory: 701, loss: 2.8863, top-1: 58.4766, top-5: 75.6836, loss_main: 0.6178, loss_aux: 0.8897
2023-02-02 22:54:32,241 - mmcls - INFO - Epoch [29][140/235]	lr: 9.838e-02, eta: 0:06:21, time: 0.169, data_time: 0.005, memory: 701, loss: 3.0339, top-1: 56.0742, top-5: 74.2188, loss_main: 0.6861, loss_aux: 0.8361
2023-02-02 22:54:33,533 - mmcls - INFO - Epoch [29][150/235]	lr: 9.805e-02, eta: 0:06:21, time: 0.128, data_time: 0.004, memory: 701, loss: 2.9233, top-1: 56.5430, top-5: 74.3750, loss_main: 0.7733, loss_aux: 0.6791
2023-02-02 22:54:35,013 - mmcls - INFO - Epoch [29][160/235]	lr: 9.773e-02, eta: 0:06:21, time: 0.148, data_time: 0.005, memory: 701, loss: 3.2485, top-1: 56.9922, top-5: 75.9570, loss_main: 0.7428, loss_aux: 0.8324
2023-02-02 22:54:36,613 - mmcls - INFO - Epoch [29][170/235]	lr: 9.741e-02, eta: 0:06:21, time: 0.155, data_time: 0.005, memory: 701, loss: 2.8842, top-1: 57.5195, top-5: 77.1094, loss_main: 0.8742, loss_aux: 0.8389
2023-02-02 22:54:37,890 - mmcls - INFO - Epoch [29][180/235]	lr: 9.709e-02, eta: 0:06:20, time: 0.132, data_time: 0.010, memory: 701, loss: 2.7230, top-1: 58.9844, top-5: 78.2031, loss_main: 0.8277, loss_aux: 0.8814
2023-02-02 22:54:39,338 - mmcls - INFO - Epoch [29][190/235]	lr: 9.677e-02, eta: 0:06:20, time: 0.145, data_time: 0.005, memory: 701, loss: 3.5055, top-1: 51.8945, top-5: 75.4102, loss_main: 0.8907, loss_aux: 1.0639
2023-02-02 22:54:40,615 - mmcls - INFO - Epoch [29][200/235]	lr: 9.644e-02, eta: 0:06:20, time: 0.130, data_time: 0.005, memory: 701, loss: 2.0748, top-1: 71.3867, top-5: 90.7227, loss_main: 0.9049, loss_aux: 1.1600
2023-02-02 22:54:42,089 - mmcls - INFO - Epoch [29][210/235]	lr: 9.612e-02, eta: 0:06:19, time: 0.142, data_time: 0.002, memory: 701, loss: 4.4622, top-1: 33.1641, top-5: 52.4023, loss_main: 1.0024, loss_aux: 1.0654
2023-02-02 22:54:43,470 - mmcls - INFO - Epoch [29][220/235]	lr: 9.580e-02, eta: 0:06:19, time: 0.140, data_time: 0.008, memory: 701, loss: 3.9896, top-1: 42.5781, top-5: 62.1875, loss_main: 0.9004, loss_aux: 0.9821
2023-02-02 22:54:44,991 - mmcls - INFO - Epoch [29][230/235]	lr: 9.548e-02, eta: 0:06:19, time: 0.153, data_time: 0.006, memory: 701, loss: 3.7066, top-1: 49.2578, top-5: 71.7383, loss_main: 0.9919, loss_aux: 0.9518
2023-02-02 22:54:45,707 - mmcls - INFO - Saving checkpoint at 29 epochs
2023-02-02 22:54:48,502 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:54:48,503 - mmcls - INFO - Epoch(val) [29][12]	acc: 73.7167
2023-02-02 22:54:52,063 - mmcls - INFO - Epoch [30][10/235]	lr: 9.500e-02, eta: 0:06:19, time: 0.349, data_time: 0.207, memory: 701, top-1: 51.9922, top-5: 74.3945, loss_main: 0.8358, loss_aux: 0.9933, loss: 3.6699
2023-02-02 22:54:53,473 - mmcls - INFO - Epoch [30][20/235]	lr: 9.468e-02, eta: 0:06:19, time: 0.143, data_time: 0.007, memory: 701, top-1: 57.8320, top-5: 77.5195, loss_main: 0.7860, loss_aux: 0.9928, loss: 2.8209
2023-02-02 22:54:55,294 - mmcls - INFO - Epoch [30][30/235]	lr: 9.436e-02, eta: 0:06:19, time: 0.177, data_time: 0.007, memory: 701, top-1: 50.8203, top-5: 67.7344, loss_main: 0.6753, loss_aux: 0.5881, loss: 3.3185
2023-02-02 22:54:56,719 - mmcls - INFO - Epoch [30][40/235]	lr: 9.404e-02, eta: 0:06:19, time: 0.147, data_time: 0.010, memory: 701, top-1: 66.7773, top-5: 84.6289, loss_main: 0.6678, loss_aux: 0.7484, loss: 2.3300
2023-02-02 22:54:58,101 - mmcls - INFO - Epoch [30][50/235]	lr: 9.372e-02, eta: 0:06:18, time: 0.141, data_time: 0.005, memory: 701, top-1: 66.4844, top-5: 85.3125, loss_main: 0.7313, loss_aux: 0.7824, loss: 2.4045
2023-02-02 22:54:59,065 - mmcls - INFO - Epoch [30][60/235]	lr: 9.340e-02, eta: 0:06:18, time: 0.096, data_time: 0.003, memory: 701, top-1: 56.3086, top-5: 78.4766, loss_main: 0.7675, loss_aux: 0.8511, loss: 3.1338
2023-02-02 22:54:59,885 - mmcls - INFO - Epoch [30][70/235]	lr: 9.308e-02, eta: 0:06:17, time: 0.081, data_time: 0.003, memory: 701, top-1: 47.5977, top-5: 72.1875, loss_main: 0.9913, loss_aux: 1.1851, loss: 3.7657
2023-02-02 22:55:01,120 - mmcls - INFO - Epoch [30][80/235]	lr: 9.276e-02, eta: 0:06:16, time: 0.121, data_time: 0.004, memory: 701, top-1: 56.6211, top-5: 79.1602, loss_main: 0.9446, loss_aux: 1.1792, loss: 3.1844
2023-02-02 22:55:02,120 - mmcls - INFO - Epoch [30][90/235]	lr: 9.244e-02, eta: 0:06:16, time: 0.102, data_time: 0.006, memory: 701, top-1: 49.3750, top-5: 74.3945, loss_main: 0.9374, loss_aux: 1.2919, loss: 3.8946
2023-02-02 22:55:02,978 - mmcls - INFO - Epoch [30][100/235]	lr: 9.213e-02, eta: 0:06:15, time: 0.082, data_time: 0.004, memory: 701, top-1: 51.7969, top-5: 70.3125, loss_main: 0.7974, loss_aux: 0.9393, loss: 3.2336
2023-02-02 22:55:04,389 - mmcls - INFO - Epoch [30][110/235]	lr: 9.181e-02, eta: 0:06:15, time: 0.143, data_time: 0.007, memory: 701, top-1: 42.4023, top-5: 56.6797, loss_main: 0.7732, loss_aux: 0.7782, loss: 3.7052
2023-02-02 22:55:05,795 - mmcls - INFO - Epoch [30][120/235]	lr: 9.149e-02, eta: 0:06:14, time: 0.142, data_time: 0.005, memory: 701, top-1: 49.1797, top-5: 69.4727, loss_main: 0.7574, loss_aux: 0.9324, loss: 3.7169
2023-02-02 22:55:07,269 - mmcls - INFO - Epoch [30][130/235]	lr: 9.117e-02, eta: 0:06:14, time: 0.141, data_time: 0.003, memory: 701, top-1: 68.9648, top-5: 85.8789, loss_main: 0.7339, loss_aux: 0.9192, loss: 2.1746
2023-02-02 22:55:08,650 - mmcls - INFO - Epoch [30][140/235]	lr: 9.085e-02, eta: 0:06:14, time: 0.141, data_time: 0.009, memory: 701, top-1: 49.1602, top-5: 70.7031, loss_main: 0.8855, loss_aux: 1.0862, loss: 3.9558
2023-02-02 22:55:10,189 - mmcls - INFO - Epoch [30][150/235]	lr: 9.054e-02, eta: 0:06:14, time: 0.155, data_time: 0.006, memory: 701, top-1: 59.7461, top-5: 83.9844, loss_main: 0.8973, loss_aux: 1.2177, loss: 2.9743
2023-02-02 22:55:11,688 - mmcls - INFO - Epoch [30][160/235]	lr: 9.022e-02, eta: 0:06:13, time: 0.148, data_time: 0.005, memory: 701, top-1: 40.5664, top-5: 60.4883, loss_main: 0.9517, loss_aux: 1.0973, loss: 4.0513
2023-02-02 22:55:13,060 - mmcls - INFO - Epoch [30][170/235]	lr: 8.990e-02, eta: 0:06:13, time: 0.134, data_time: 0.007, memory: 701, top-1: 50.6055, top-5: 71.2891, loss_main: 0.8707, loss_aux: 1.1124, loss: 3.3957
2023-02-02 22:55:14,508 - mmcls - INFO - Epoch [30][180/235]	lr: 8.959e-02, eta: 0:06:13, time: 0.150, data_time: 0.010, memory: 701, top-1: 67.8516, top-5: 86.6992, loss_main: 0.9095, loss_aux: 1.0345, loss: 2.3730
2023-02-02 22:55:15,966 - mmcls - INFO - Epoch [30][190/235]	lr: 8.927e-02, eta: 0:06:12, time: 0.145, data_time: 0.005, memory: 701, top-1: 61.1523, top-5: 84.3945, loss_main: 0.8635, loss_aux: 1.1473, loss: 3.1547
2023-02-02 22:55:17,358 - mmcls - INFO - Epoch [30][200/235]	lr: 8.896e-02, eta: 0:06:12, time: 0.139, data_time: 0.005, memory: 701, top-1: 46.1133, top-5: 62.5391, loss_main: 0.7378, loss_aux: 0.8174, loss: 3.6768
2023-02-02 22:55:18,728 - mmcls - INFO - Epoch [30][210/235]	lr: 8.864e-02, eta: 0:06:11, time: 0.135, data_time: 0.005, memory: 701, top-1: 50.3516, top-5: 70.7031, loss_main: 0.7754, loss_aux: 0.9788, loss: 3.4671
2023-02-02 22:55:19,570 - mmcls - INFO - Epoch [30][220/235]	lr: 8.832e-02, eta: 0:06:11, time: 0.088, data_time: 0.007, memory: 701, top-1: 53.4375, top-5: 71.1719, loss_main: 0.7721, loss_aux: 0.9048, loss: 3.2057
2023-02-02 22:55:20,434 - mmcls - INFO - Epoch [30][230/235]	lr: 8.801e-02, eta: 0:06:10, time: 0.086, data_time: 0.003, memory: 701, top-1: 61.3867, top-5: 83.9062, loss_main: 0.8631, loss_aux: 1.0873, loss: 3.0008
2023-02-02 22:55:21,080 - mmcls - INFO - Saving checkpoint at 30 epochs
2023-02-02 22:55:23,669 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:55:23,670 - mmcls - INFO - Epoch(val) [30][12]	acc: 73.2333
2023-02-02 22:55:27,518 - mmcls - INFO - Epoch [31][10/235]	lr: 8.754e-02, eta: 0:06:10, time: 0.377, data_time: 0.207, memory: 701, top-1: 39.1406, top-5: 57.7148, loss_main: 0.7173, loss_aux: 0.8577, loss: 4.1792
2023-02-02 22:55:28,998 - mmcls - INFO - Epoch [31][20/235]	lr: 8.722e-02, eta: 0:06:10, time: 0.150, data_time: 0.008, memory: 701, top-1: 47.6562, top-5: 66.6602, loss_main: 0.7563, loss_aux: 0.9412, loss: 3.4877
2023-02-02 22:55:30,616 - mmcls - INFO - Epoch [31][30/235]	lr: 8.691e-02, eta: 0:06:10, time: 0.162, data_time: 0.007, memory: 701, top-1: 65.5664, top-5: 87.3438, loss_main: 0.7952, loss_aux: 1.0484, loss: 2.6406
2023-02-02 22:55:32,099 - mmcls - INFO - Epoch [31][40/235]	lr: 8.659e-02, eta: 0:06:10, time: 0.149, data_time: 0.006, memory: 701, top-1: 57.2461, top-5: 75.2344, loss_main: 0.8667, loss_aux: 0.9856, loss: 2.9282
2023-02-02 22:55:33,765 - mmcls - INFO - Epoch [31][50/235]	lr: 8.628e-02, eta: 0:06:09, time: 0.163, data_time: 0.006, memory: 701, top-1: 49.3945, top-5: 71.7773, loss_main: 0.8965, loss_aux: 0.9322, loss: 3.6465
2023-02-02 22:55:35,325 - mmcls - INFO - Epoch [31][60/235]	lr: 8.597e-02, eta: 0:06:09, time: 0.160, data_time: 0.009, memory: 701, top-1: 44.2969, top-5: 68.1250, loss_main: 1.0062, loss_aux: 1.0322, loss: 4.1374
2023-02-02 22:55:36,774 - mmcls - INFO - Epoch [31][70/235]	lr: 8.565e-02, eta: 0:06:09, time: 0.145, data_time: 0.005, memory: 701, top-1: 65.4102, top-5: 84.4141, loss_main: 0.7786, loss_aux: 0.8222, loss: 2.4655
2023-02-02 22:55:38,178 - mmcls - INFO - Epoch [31][80/235]	lr: 8.534e-02, eta: 0:06:08, time: 0.139, data_time: 0.005, memory: 701, top-1: 48.7891, top-5: 65.2344, loss_main: 0.7724, loss_aux: 0.8252, loss: 3.3063
2023-02-02 22:55:39,824 - mmcls - INFO - Epoch [31][90/235]	lr: 8.503e-02, eta: 0:06:08, time: 0.161, data_time: 0.007, memory: 701, top-1: 63.8086, top-5: 79.1406, loss_main: 0.5483, loss_aux: 0.6517, loss: 2.4858
2023-02-02 22:55:41,657 - mmcls - INFO - Epoch [31][100/235]	lr: 8.472e-02, eta: 0:06:08, time: 0.183, data_time: 0.010, memory: 701, top-1: 48.7305, top-5: 70.1172, loss_main: 0.8739, loss_aux: 0.9270, loss: 3.7627
2023-02-02 22:55:43,353 - mmcls - INFO - Epoch [31][110/235]	lr: 8.441e-02, eta: 0:06:08, time: 0.169, data_time: 0.011, memory: 701, top-1: 62.9883, top-5: 79.7266, loss_main: 0.8307, loss_aux: 1.0130, loss: 2.3176
2023-02-02 22:55:44,878 - mmcls - INFO - Epoch [31][120/235]	lr: 8.409e-02, eta: 0:06:07, time: 0.158, data_time: 0.012, memory: 701, top-1: 55.1953, top-5: 76.2109, loss_main: 0.7825, loss_aux: 0.8787, loss: 3.2173
2023-02-02 22:55:46,431 - mmcls - INFO - Epoch [31][130/235]	lr: 8.378e-02, eta: 0:06:07, time: 0.155, data_time: 0.006, memory: 701, top-1: 57.8125, top-5: 74.1406, loss_main: 0.8426, loss_aux: 0.8857, loss: 2.6348
2023-02-02 22:55:47,866 - mmcls - INFO - Epoch [31][140/235]	lr: 8.347e-02, eta: 0:06:07, time: 0.144, data_time: 0.006, memory: 701, top-1: 63.9258, top-5: 83.1055, loss_main: 0.6409, loss_aux: 0.7482, loss: 2.6234
2023-02-02 22:55:49,748 - mmcls - INFO - Epoch [31][150/235]	lr: 8.316e-02, eta: 0:06:06, time: 0.186, data_time: 0.006, memory: 701, top-1: 51.9727, top-5: 72.6758, loss_main: 0.8660, loss_aux: 0.8789, loss: 3.4155
2023-02-02 22:55:51,172 - mmcls - INFO - Epoch [31][160/235]	lr: 8.285e-02, eta: 0:06:06, time: 0.144, data_time: 0.008, memory: 701, top-1: 51.3477, top-5: 70.9766, loss_main: 0.9761, loss_aux: 1.0662, loss: 3.2643
2023-02-02 22:55:52,649 - mmcls - INFO - Epoch [31][170/235]	lr: 8.254e-02, eta: 0:06:06, time: 0.148, data_time: 0.006, memory: 701, top-1: 76.0742, top-5: 93.8867, loss_main: 0.6764, loss_aux: 0.7894, loss: 1.8969
2023-02-02 22:55:54,234 - mmcls - INFO - Epoch [31][180/235]	lr: 8.223e-02, eta: 0:06:05, time: 0.153, data_time: 0.006, memory: 701, top-1: 57.8320, top-5: 79.5312, loss_main: 0.9389, loss_aux: 1.1193, loss: 3.0719
2023-02-02 22:55:55,887 - mmcls - INFO - Epoch [31][190/235]	lr: 8.192e-02, eta: 0:06:05, time: 0.170, data_time: 0.011, memory: 701, top-1: 62.1484, top-5: 77.5781, loss_main: 0.5884, loss_aux: 0.7904, loss: 2.5989
2023-02-02 22:55:57,825 - mmcls - INFO - Epoch [31][200/235]	lr: 8.161e-02, eta: 0:06:05, time: 0.191, data_time: 0.006, memory: 701, top-1: 45.4883, top-5: 62.5391, loss_main: 0.7390, loss_aux: 0.6490, loss: 3.7023
2023-02-02 22:55:59,383 - mmcls - INFO - Epoch [31][210/235]	lr: 8.130e-02, eta: 0:06:05, time: 0.152, data_time: 0.009, memory: 701, top-1: 71.0156, top-5: 91.5039, loss_main: 0.6932, loss_aux: 0.8430, loss: 2.1823
2023-02-02 22:56:00,791 - mmcls - INFO - Epoch [31][220/235]	lr: 8.100e-02, eta: 0:06:04, time: 0.148, data_time: 0.013, memory: 701, top-1: 53.1641, top-5: 70.8594, loss_main: 0.7294, loss_aux: 0.8545, loss: 3.1982
2023-02-02 22:56:02,451 - mmcls - INFO - Epoch [31][230/235]	lr: 8.069e-02, eta: 0:06:04, time: 0.164, data_time: 0.005, memory: 701, top-1: 50.6445, top-5: 69.2188, loss_main: 0.8526, loss_aux: 0.7629, loss: 3.3071
2023-02-02 22:56:03,251 - mmcls - INFO - Saving checkpoint at 31 epochs
2023-02-02 22:56:05,953 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:56:05,967 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_27.pth was removed
2023-02-02 22:56:06,189 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_31.pth.
2023-02-02 22:56:06,189 - mmcls - INFO - Best acc is 74.7167 at 31 epoch.
2023-02-02 22:56:06,190 - mmcls - INFO - Epoch(val) [31][12]	acc: 74.7167
2023-02-02 22:56:09,845 - mmcls - INFO - Epoch [32][10/235]	lr: 8.023e-02, eta: 0:06:04, time: 0.355, data_time: 0.209, memory: 701, top-1: 61.3672, top-5: 80.3125, loss_main: 0.8459, loss_aux: 0.8861, loss: 2.6592
2023-02-02 22:56:11,675 - mmcls - INFO - Epoch [32][20/235]	lr: 7.992e-02, eta: 0:06:04, time: 0.184, data_time: 0.011, memory: 701, top-1: 48.1445, top-5: 68.3008, loss_main: 0.7864, loss_aux: 0.9480, loss: 3.8100
2023-02-02 22:56:13,137 - mmcls - INFO - Epoch [32][30/235]	lr: 7.961e-02, eta: 0:06:03, time: 0.151, data_time: 0.010, memory: 701, top-1: 41.9336, top-5: 65.0977, loss_main: 0.9250, loss_aux: 1.0604, loss: 4.2386
2023-02-02 22:56:14,799 - mmcls - INFO - Epoch [32][40/235]	lr: 7.931e-02, eta: 0:06:03, time: 0.162, data_time: 0.005, memory: 701, top-1: 57.0508, top-5: 73.2617, loss_main: 0.6696, loss_aux: 0.7953, loss: 2.9957
2023-02-02 22:56:16,139 - mmcls - INFO - Epoch [32][50/235]	lr: 7.900e-02, eta: 0:06:03, time: 0.138, data_time: 0.010, memory: 701, top-1: 66.3672, top-5: 79.5703, loss_main: 0.5530, loss_aux: 0.6302, loss: 2.0145
2023-02-02 22:56:17,491 - mmcls - INFO - Epoch [32][60/235]	lr: 7.869e-02, eta: 0:06:02, time: 0.135, data_time: 0.005, memory: 701, top-1: 58.5742, top-5: 77.7344, loss_main: 0.7625, loss_aux: 0.7629, loss: 3.0655
2023-02-02 22:56:18,985 - mmcls - INFO - Epoch [32][70/235]	lr: 7.839e-02, eta: 0:06:02, time: 0.140, data_time: 0.006, memory: 701, top-1: 57.1094, top-5: 79.8828, loss_main: 0.9723, loss_aux: 1.0608, loss: 3.1692
2023-02-02 22:56:20,717 - mmcls - INFO - Epoch [32][80/235]	lr: 7.808e-02, eta: 0:06:01, time: 0.179, data_time: 0.015, memory: 701, top-1: 56.6406, top-5: 73.5742, loss_main: 0.6247, loss_aux: 0.6940, loss: 2.8529
2023-02-02 22:56:22,084 - mmcls - INFO - Epoch [32][90/235]	lr: 7.778e-02, eta: 0:06:01, time: 0.140, data_time: 0.009, memory: 701, top-1: 70.0977, top-5: 87.1875, loss_main: 0.6015, loss_aux: 0.7568, loss: 2.2431
2023-02-02 22:56:23,505 - mmcls - INFO - Epoch [32][100/235]	lr: 7.747e-02, eta: 0:06:00, time: 0.138, data_time: 0.006, memory: 701, top-1: 64.6875, top-5: 83.9258, loss_main: 0.7373, loss_aux: 0.9576, loss: 2.4992
2023-02-02 22:56:24,987 - mmcls - INFO - Epoch [32][110/235]	lr: 7.717e-02, eta: 0:06:00, time: 0.147, data_time: 0.010, memory: 701, top-1: 70.2930, top-5: 88.3398, loss_main: 0.8539, loss_aux: 0.9494, loss: 2.3166
2023-02-02 22:56:26,318 - mmcls - INFO - Epoch [32][120/235]	lr: 7.687e-02, eta: 0:05:59, time: 0.133, data_time: 0.011, memory: 701, top-1: 67.4805, top-5: 79.4141, loss_main: 0.6755, loss_aux: 0.7566, loss: 1.9011
2023-02-02 22:56:27,772 - mmcls - INFO - Epoch [32][130/235]	lr: 7.656e-02, eta: 0:05:59, time: 0.153, data_time: 0.011, memory: 701, top-1: 77.3828, top-5: 95.0391, loss_main: 0.5854, loss_aux: 0.8753, loss: 1.7034
2023-02-02 22:56:28,999 - mmcls - INFO - Epoch [32][140/235]	lr: 7.626e-02, eta: 0:05:58, time: 0.123, data_time: 0.004, memory: 701, top-1: 64.3164, top-5: 85.9375, loss_main: 0.7911, loss_aux: 1.1738, loss: 2.6090
2023-02-02 22:56:30,376 - mmcls - INFO - Epoch [32][150/235]	lr: 7.596e-02, eta: 0:05:58, time: 0.135, data_time: 0.004, memory: 701, top-1: 62.3438, top-5: 78.9453, loss_main: 0.6530, loss_aux: 0.7697, loss: 2.4505
2023-02-02 22:56:31,842 - mmcls - INFO - Epoch [32][160/235]	lr: 7.565e-02, eta: 0:05:57, time: 0.147, data_time: 0.006, memory: 701, top-1: 56.8750, top-5: 73.1250, loss_main: 0.6191, loss_aux: 0.7469, loss: 3.0477
2023-02-02 22:56:33,394 - mmcls - INFO - Epoch [32][170/235]	lr: 7.535e-02, eta: 0:05:57, time: 0.155, data_time: 0.005, memory: 701, top-1: 50.4883, top-5: 68.8086, loss_main: 0.7921, loss_aux: 0.9987, loss: 3.5067
2023-02-02 22:56:34,783 - mmcls - INFO - Epoch [32][180/235]	lr: 7.505e-02, eta: 0:05:56, time: 0.139, data_time: 0.006, memory: 701, top-1: 65.2734, top-5: 82.6758, loss_main: 0.7167, loss_aux: 0.9849, loss: 2.5588
2023-02-02 22:56:36,140 - mmcls - INFO - Epoch [32][190/235]	lr: 7.475e-02, eta: 0:05:56, time: 0.135, data_time: 0.005, memory: 701, top-1: 54.1211, top-5: 69.9609, loss_main: 0.6543, loss_aux: 0.8649, loss: 3.0533
2023-02-02 22:56:37,800 - mmcls - INFO - Epoch [32][200/235]	lr: 7.445e-02, eta: 0:05:56, time: 0.166, data_time: 0.005, memory: 701, top-1: 68.9258, top-5: 85.8789, loss_main: 0.7550, loss_aux: 0.8886, loss: 2.2520
2023-02-02 22:56:39,395 - mmcls - INFO - Epoch [32][210/235]	lr: 7.415e-02, eta: 0:05:55, time: 0.158, data_time: 0.006, memory: 701, top-1: 56.4258, top-5: 74.3750, loss_main: 0.6954, loss_aux: 0.9061, loss: 3.0588
2023-02-02 22:56:40,997 - mmcls - INFO - Epoch [32][220/235]	lr: 7.385e-02, eta: 0:05:55, time: 0.160, data_time: 0.007, memory: 701, top-1: 63.6133, top-5: 84.7852, loss_main: 0.8715, loss_aux: 1.0912, loss: 2.7951
2023-02-02 22:56:42,236 - mmcls - INFO - Epoch [32][230/235]	lr: 7.355e-02, eta: 0:05:54, time: 0.128, data_time: 0.007, memory: 701, top-1: 66.5234, top-5: 87.1094, loss_main: 0.8538, loss_aux: 1.1169, loss: 2.4310
2023-02-02 22:56:42,823 - mmcls - INFO - Saving checkpoint at 32 epochs
2023-02-02 22:56:45,494 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:56:45,507 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_31.pth was removed
2023-02-02 22:56:45,715 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_32.pth.
2023-02-02 22:56:45,715 - mmcls - INFO - Best acc is 75.6167 at 32 epoch.
2023-02-02 22:56:45,715 - mmcls - INFO - Epoch(val) [32][12]	acc: 75.6167
2023-02-02 22:56:48,619 - mmcls - INFO - Epoch [33][10/235]	lr: 7.310e-02, eta: 0:05:54, time: 0.287, data_time: 0.212, memory: 701, top-1: 56.3672, top-5: 77.9883, loss_main: 0.8869, loss_aux: 1.0127, loss: 3.3391
2023-02-02 22:56:49,863 - mmcls - INFO - Epoch [33][20/235]	lr: 7.280e-02, eta: 0:05:53, time: 0.120, data_time: 0.003, memory: 701, top-1: 70.8984, top-5: 91.5820, loss_main: 0.7460, loss_aux: 0.9403, loss: 2.2338
2023-02-02 22:56:50,663 - mmcls - INFO - Epoch [33][30/235]	lr: 7.250e-02, eta: 0:05:52, time: 0.084, data_time: 0.008, memory: 701, top-1: 51.7578, top-5: 74.7070, loss_main: 0.9254, loss_aux: 1.0223, loss: 3.5510
2023-02-02 22:56:51,659 - mmcls - INFO - Epoch [33][40/235]	lr: 7.220e-02, eta: 0:05:52, time: 0.101, data_time: 0.004, memory: 701, top-1: 54.1602, top-5: 71.8359, loss_main: 0.7473, loss_aux: 0.8774, loss: 3.1418
2023-02-02 22:56:52,744 - mmcls - INFO - Epoch [33][50/235]	lr: 7.191e-02, eta: 0:05:51, time: 0.108, data_time: 0.002, memory: 701, top-1: 54.3945, top-5: 72.7344, loss_main: 0.8421, loss_aux: 1.0094, loss: 3.3051
2023-02-02 22:56:54,516 - mmcls - INFO - Epoch [33][60/235]	lr: 7.161e-02, eta: 0:05:51, time: 0.165, data_time: 0.003, memory: 701, top-1: 42.1875, top-5: 58.1250, loss_main: 0.7481, loss_aux: 0.7549, loss: 3.7793
2023-02-02 22:56:55,991 - mmcls - INFO - Epoch [33][70/235]	lr: 7.131e-02, eta: 0:05:50, time: 0.157, data_time: 0.015, memory: 701, top-1: 56.4453, top-5: 79.0234, loss_main: 0.9087, loss_aux: 1.1253, loss: 3.4960
2023-02-02 22:56:57,537 - mmcls - INFO - Epoch [33][80/235]	lr: 7.101e-02, eta: 0:05:50, time: 0.155, data_time: 0.006, memory: 701, top-1: 62.3438, top-5: 75.9961, loss_main: 0.7529, loss_aux: 0.7888, loss: 2.4160
2023-02-02 22:56:59,081 - mmcls - INFO - Epoch [33][90/235]	lr: 7.072e-02, eta: 0:05:49, time: 0.150, data_time: 0.005, memory: 701, top-1: 46.4648, top-5: 62.0117, loss_main: 0.8173, loss_aux: 0.7322, loss: 3.5489
2023-02-02 22:57:00,686 - mmcls - INFO - Epoch [33][100/235]	lr: 7.042e-02, eta: 0:05:49, time: 0.160, data_time: 0.010, memory: 701, top-1: 67.4023, top-5: 86.2109, loss_main: 0.7956, loss_aux: 0.8259, loss: 2.3610
2023-02-02 22:57:01,972 - mmcls - INFO - Epoch [33][110/235]	lr: 7.013e-02, eta: 0:05:48, time: 0.132, data_time: 0.010, memory: 701, top-1: 72.3242, top-5: 86.8555, loss_main: 0.7161, loss_aux: 0.9960, loss: 1.7619
2023-02-02 22:57:03,321 - mmcls - INFO - Epoch [33][120/235]	lr: 6.983e-02, eta: 0:05:48, time: 0.136, data_time: 0.007, memory: 701, top-1: 71.6992, top-5: 86.9922, loss_main: 0.5059, loss_aux: 0.9468, loss: 2.0040
2023-02-02 22:57:04,673 - mmcls - INFO - Epoch [33][130/235]	lr: 6.954e-02, eta: 0:05:47, time: 0.132, data_time: 0.006, memory: 701, top-1: 66.3672, top-5: 84.4727, loss_main: 0.5578, loss_aux: 0.9137, loss: 2.6195
2023-02-02 22:57:06,287 - mmcls - INFO - Epoch [33][140/235]	lr: 6.924e-02, eta: 0:05:47, time: 0.164, data_time: 0.009, memory: 701, top-1: 51.1133, top-5: 66.3281, loss_main: 0.5688, loss_aux: 0.7133, loss: 3.3130
2023-02-02 22:57:07,819 - mmcls - INFO - Epoch [33][150/235]	lr: 6.895e-02, eta: 0:05:46, time: 0.154, data_time: 0.006, memory: 701, top-1: 51.5039, top-5: 68.3594, loss_main: 0.7321, loss_aux: 0.8051, loss: 3.4592
2023-02-02 22:57:08,867 - mmcls - INFO - Epoch [33][160/235]	lr: 6.866e-02, eta: 0:05:45, time: 0.107, data_time: 0.005, memory: 701, top-1: 61.9727, top-5: 76.8945, loss_main: 0.8039, loss_aux: 0.9482, loss: 2.2988
2023-02-02 22:57:09,963 - mmcls - INFO - Epoch [33][170/235]	lr: 6.836e-02, eta: 0:05:45, time: 0.103, data_time: 0.003, memory: 701, top-1: 45.0000, top-5: 62.5000, loss_main: 0.7788, loss_aux: 0.7983, loss: 3.6298
2023-02-02 22:57:11,192 - mmcls - INFO - Epoch [33][180/235]	lr: 6.807e-02, eta: 0:05:44, time: 0.127, data_time: 0.009, memory: 701, top-1: 51.2695, top-5: 67.5195, loss_main: 0.7088, loss_aux: 0.9617, loss: 3.2766
2023-02-02 22:57:12,460 - mmcls - INFO - Epoch [33][190/235]	lr: 6.778e-02, eta: 0:05:43, time: 0.126, data_time: 0.005, memory: 701, top-1: 74.1992, top-5: 91.5820, loss_main: 0.7589, loss_aux: 0.9434, loss: 1.9103
2023-02-02 22:57:13,919 - mmcls - INFO - Epoch [33][200/235]	lr: 6.749e-02, eta: 0:05:43, time: 0.146, data_time: 0.006, memory: 701, top-1: 66.2500, top-5: 82.5195, loss_main: 0.6784, loss_aux: 0.8804, loss: 2.4946
2023-02-02 22:57:15,197 - mmcls - INFO - Epoch [33][210/235]	lr: 6.720e-02, eta: 0:05:42, time: 0.127, data_time: 0.006, memory: 701, top-1: 65.3125, top-5: 83.1641, loss_main: 0.7058, loss_aux: 0.9025, loss: 2.6172
2023-02-02 22:57:16,768 - mmcls - INFO - Epoch [33][220/235]	lr: 6.691e-02, eta: 0:05:42, time: 0.156, data_time: 0.006, memory: 701, top-1: 51.8945, top-5: 71.2695, loss_main: 0.6941, loss_aux: 0.9001, loss: 3.5168
2023-02-02 22:57:18,386 - mmcls - INFO - Epoch [33][230/235]	lr: 6.662e-02, eta: 0:05:41, time: 0.162, data_time: 0.007, memory: 701, top-1: 78.9648, top-5: 95.0000, loss_main: 0.5745, loss_aux: 0.6773, loss: 1.5346
2023-02-02 22:57:19,075 - mmcls - INFO - Saving checkpoint at 33 epochs
2023-02-02 22:57:21,849 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:57:21,850 - mmcls - INFO - Epoch(val) [33][12]	acc: 75.2667
2023-02-02 22:57:25,303 - mmcls - INFO - Epoch [34][10/235]	lr: 6.618e-02, eta: 0:05:41, time: 0.343, data_time: 0.209, memory: 701, top-1: 52.3438, top-5: 74.7461, loss_main: 0.7863, loss_aux: 1.1003, loss: 3.6901
2023-02-02 22:57:26,409 - mmcls - INFO - Epoch [34][20/235]	lr: 6.589e-02, eta: 0:05:40, time: 0.111, data_time: 0.003, memory: 701, top-1: 66.1133, top-5: 82.3047, loss_main: 0.6892, loss_aux: 0.8830, loss: 2.4580
2023-02-02 22:57:27,286 - mmcls - INFO - Epoch [34][30/235]	lr: 6.560e-02, eta: 0:05:39, time: 0.083, data_time: 0.003, memory: 701, top-1: 66.0352, top-5: 86.5625, loss_main: 0.7959, loss_aux: 1.0328, loss: 2.7652
2023-02-02 22:57:28,436 - mmcls - INFO - Epoch [34][40/235]	lr: 6.531e-02, eta: 0:05:39, time: 0.112, data_time: 0.007, memory: 701, top-1: 40.8398, top-5: 59.6094, loss_main: 0.8098, loss_aux: 0.9173, loss: 4.1381
2023-02-02 22:57:29,334 - mmcls - INFO - Epoch [34][50/235]	lr: 6.503e-02, eta: 0:05:38, time: 0.094, data_time: 0.010, memory: 701, top-1: 48.3008, top-5: 66.8555, loss_main: 0.8615, loss_aux: 0.9687, loss: 3.4191
2023-02-02 22:57:30,442 - mmcls - INFO - Epoch [34][60/235]	lr: 6.474e-02, eta: 0:05:37, time: 0.112, data_time: 0.006, memory: 701, top-1: 80.6250, top-5: 95.1562, loss_main: 0.6662, loss_aux: 0.7122, loss: 1.3791
2023-02-02 22:57:31,939 - mmcls - INFO - Epoch [34][70/235]	lr: 6.445e-02, eta: 0:05:37, time: 0.149, data_time: 0.005, memory: 701, top-1: 64.8242, top-5: 82.6953, loss_main: 0.5979, loss_aux: 0.8729, loss: 2.7097
2023-02-02 22:57:33,486 - mmcls - INFO - Epoch [34][80/235]	lr: 6.416e-02, eta: 0:05:36, time: 0.155, data_time: 0.006, memory: 701, top-1: 54.7852, top-5: 70.4297, loss_main: 0.5433, loss_aux: 0.6802, loss: 3.0598
2023-02-02 22:57:35,049 - mmcls - INFO - Epoch [34][90/235]	lr: 6.388e-02, eta: 0:05:36, time: 0.152, data_time: 0.005, memory: 701, top-1: 64.8047, top-5: 80.7812, loss_main: 0.6908, loss_aux: 0.8277, loss: 2.5653
2023-02-02 22:57:36,485 - mmcls - INFO - Epoch [34][100/235]	lr: 6.359e-02, eta: 0:05:35, time: 0.146, data_time: 0.010, memory: 701, top-1: 64.1797, top-5: 81.1133, loss_main: 0.6247, loss_aux: 0.7158, loss: 2.5581
2023-02-02 22:57:37,893 - mmcls - INFO - Epoch [34][110/235]	lr: 6.331e-02, eta: 0:05:34, time: 0.141, data_time: 0.007, memory: 701, top-1: 53.6914, top-5: 72.9688, loss_main: 0.9779, loss_aux: 1.0156, loss: 3.1472
2023-02-02 22:57:39,296 - mmcls - INFO - Epoch [34][120/235]	lr: 6.302e-02, eta: 0:05:34, time: 0.137, data_time: 0.007, memory: 701, top-1: 78.8281, top-5: 94.8633, loss_main: 0.9176, loss_aux: 1.1154, loss: 1.3556
2023-02-02 22:57:40,835 - mmcls - INFO - Epoch [34][130/235]	lr: 6.274e-02, eta: 0:05:33, time: 0.158, data_time: 0.010, memory: 701, top-1: 49.3555, top-5: 64.7070, loss_main: 0.6708, loss_aux: 0.6745, loss: 3.4049
2023-02-02 22:57:42,592 - mmcls - INFO - Epoch [34][140/235]	lr: 6.245e-02, eta: 0:05:33, time: 0.175, data_time: 0.005, memory: 701, top-1: 35.6250, top-5: 58.0664, loss_main: 0.8400, loss_aux: 0.9868, loss: 4.4687
2023-02-02 22:57:44,050 - mmcls - INFO - Epoch [34][150/235]	lr: 6.217e-02, eta: 0:05:32, time: 0.146, data_time: 0.007, memory: 701, top-1: 58.3789, top-5: 78.3398, loss_main: 0.8559, loss_aux: 1.0428, loss: 2.8745
2023-02-02 22:57:45,370 - mmcls - INFO - Epoch [34][160/235]	lr: 6.189e-02, eta: 0:05:32, time: 0.131, data_time: 0.005, memory: 701, top-1: 55.1562, top-5: 77.6367, loss_main: 0.7854, loss_aux: 1.0393, loss: 3.3522
2023-02-02 22:57:46,905 - mmcls - INFO - Epoch [34][170/235]	lr: 6.160e-02, eta: 0:05:31, time: 0.154, data_time: 0.006, memory: 701, top-1: 50.7227, top-5: 66.4062, loss_main: 0.7008, loss_aux: 0.8775, loss: 3.2082
2023-02-02 22:57:48,396 - mmcls - INFO - Epoch [34][180/235]	lr: 6.132e-02, eta: 0:05:31, time: 0.149, data_time: 0.005, memory: 701, top-1: 77.4023, top-5: 90.4102, loss_main: 0.6076, loss_aux: 0.6239, loss: 1.6227
2023-02-02 22:57:50,022 - mmcls - INFO - Epoch [34][190/235]	lr: 6.104e-02, eta: 0:05:30, time: 0.161, data_time: 0.006, memory: 701, top-1: 63.3984, top-5: 82.6367, loss_main: 0.8281, loss_aux: 1.0235, loss: 2.7111
2023-02-02 22:57:51,486 - mmcls - INFO - Epoch [34][200/235]	lr: 6.076e-02, eta: 0:05:29, time: 0.145, data_time: 0.007, memory: 701, top-1: 56.7773, top-5: 75.0000, loss_main: 0.5281, loss_aux: 1.0246, loss: 3.2651
2023-02-02 22:57:53,031 - mmcls - INFO - Epoch [34][210/235]	lr: 6.048e-02, eta: 0:05:29, time: 0.157, data_time: 0.008, memory: 701, top-1: 56.6016, top-5: 75.6445, loss_main: 0.7582, loss_aux: 0.8909, loss: 3.3437
2023-02-02 22:57:54,603 - mmcls - INFO - Epoch [34][220/235]	lr: 6.020e-02, eta: 0:05:28, time: 0.157, data_time: 0.006, memory: 701, top-1: 53.8867, top-5: 69.9023, loss_main: 0.6806, loss_aux: 0.8291, loss: 2.9718
2023-02-02 22:57:55,927 - mmcls - INFO - Epoch [34][230/235]	lr: 5.992e-02, eta: 0:05:28, time: 0.129, data_time: 0.005, memory: 701, top-1: 57.0898, top-5: 78.3203, loss_main: 0.8303, loss_aux: 1.1291, loss: 3.3921
2023-02-02 22:57:56,498 - mmcls - INFO - Saving checkpoint at 34 epochs
2023-02-02 22:57:59,195 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:57:59,210 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_32.pth was removed
2023-02-02 22:57:59,423 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_34.pth.
2023-02-02 22:57:59,423 - mmcls - INFO - Best acc is 76.9167 at 34 epoch.
2023-02-02 22:57:59,424 - mmcls - INFO - Epoch(val) [34][12]	acc: 76.9167
2023-02-02 22:58:02,960 - mmcls - INFO - Epoch [35][10/235]	lr: 5.950e-02, eta: 0:05:27, time: 0.345, data_time: 0.206, memory: 701, top-1: 74.2773, top-5: 89.0430, loss_main: 0.5944, loss_aux: 0.9050, loss: 1.9676
2023-02-02 22:58:04,364 - mmcls - INFO - Epoch [35][20/235]	lr: 5.922e-02, eta: 0:05:27, time: 0.142, data_time: 0.009, memory: 701, top-1: 63.2617, top-5: 83.6719, loss_main: 0.7303, loss_aux: 0.9713, loss: 2.8808
2023-02-02 22:58:06,031 - mmcls - INFO - Epoch [35][30/235]	lr: 5.894e-02, eta: 0:05:26, time: 0.170, data_time: 0.008, memory: 701, top-1: 57.4023, top-5: 76.8945, loss_main: 0.6797, loss_aux: 0.9468, loss: 3.2662
2023-02-02 22:58:07,473 - mmcls - INFO - Epoch [35][40/235]	lr: 5.867e-02, eta: 0:05:26, time: 0.142, data_time: 0.004, memory: 701, top-1: 57.7344, top-5: 78.1641, loss_main: 0.6648, loss_aux: 0.9347, loss: 3.1402
2023-02-02 22:58:08,935 - mmcls - INFO - Epoch [35][50/235]	lr: 5.839e-02, eta: 0:05:25, time: 0.149, data_time: 0.007, memory: 701, top-1: 58.1836, top-5: 73.8281, loss_main: 0.7360, loss_aux: 0.8333, loss: 2.8765
2023-02-02 22:58:10,277 - mmcls - INFO - Epoch [35][60/235]	lr: 5.811e-02, eta: 0:05:24, time: 0.134, data_time: 0.004, memory: 701, top-1: 77.1680, top-5: 94.5117, loss_main: 0.6135, loss_aux: 1.0832, loss: 1.9937
2023-02-02 22:58:11,651 - mmcls - INFO - Epoch [35][70/235]	lr: 5.784e-02, eta: 0:05:24, time: 0.136, data_time: 0.004, memory: 701, top-1: 62.3633, top-5: 73.7500, loss_main: 0.5094, loss_aux: 0.8230, loss: 2.2240
2023-02-02 22:58:13,119 - mmcls - INFO - Epoch [35][80/235]	lr: 5.756e-02, eta: 0:05:23, time: 0.144, data_time: 0.006, memory: 701, top-1: 69.7070, top-5: 85.6055, loss_main: 0.5377, loss_aux: 0.8226, loss: 2.4401
2023-02-02 22:58:14,734 - mmcls - INFO - Epoch [35][90/235]	lr: 5.728e-02, eta: 0:05:23, time: 0.161, data_time: 0.009, memory: 701, top-1: 50.4492, top-5: 68.3203, loss_main: 0.5896, loss_aux: 0.8358, loss: 3.4736
2023-02-02 22:58:16,206 - mmcls - INFO - Epoch [35][100/235]	lr: 5.701e-02, eta: 0:05:22, time: 0.153, data_time: 0.009, memory: 701, top-1: 50.0977, top-5: 70.6641, loss_main: 0.7160, loss_aux: 0.9643, loss: 3.5781
2023-02-02 22:58:17,795 - mmcls - INFO - Epoch [35][110/235]	lr: 5.674e-02, eta: 0:05:21, time: 0.157, data_time: 0.004, memory: 701, top-1: 60.4688, top-5: 76.9531, loss_main: 0.5753, loss_aux: 0.9339, loss: 2.8244
2023-02-02 22:58:19,276 - mmcls - INFO - Epoch [35][120/235]	lr: 5.646e-02, eta: 0:05:21, time: 0.149, data_time: 0.006, memory: 701, top-1: 63.7305, top-5: 84.1406, loss_main: 0.7870, loss_aux: 1.0510, loss: 2.9054
2023-02-02 22:58:20,723 - mmcls - INFO - Epoch [35][130/235]	lr: 5.619e-02, eta: 0:05:20, time: 0.145, data_time: 0.005, memory: 701, top-1: 80.4492, top-5: 95.4688, loss_main: 0.5920, loss_aux: 0.9371, loss: 1.5141
2023-02-02 22:58:22,274 - mmcls - INFO - Epoch [35][140/235]	lr: 5.592e-02, eta: 0:05:20, time: 0.152, data_time: 0.005, memory: 701, top-1: 52.6953, top-5: 72.2070, loss_main: 0.8101, loss_aux: 0.9090, loss: 3.3460
2023-02-02 22:58:23,671 - mmcls - INFO - Epoch [35][150/235]	lr: 5.564e-02, eta: 0:05:19, time: 0.142, data_time: 0.008, memory: 701, top-1: 65.7812, top-5: 80.4102, loss_main: 0.8651, loss_aux: 0.8695, loss: 2.2197
2023-02-02 22:58:25,125 - mmcls - INFO - Epoch [35][160/235]	lr: 5.537e-02, eta: 0:05:18, time: 0.141, data_time: 0.006, memory: 701, top-1: 63.6328, top-5: 79.6289, loss_main: 0.5522, loss_aux: 0.7613, loss: 2.6173
2023-02-02 22:58:26,345 - mmcls - INFO - Epoch [35][170/235]	lr: 5.510e-02, eta: 0:05:18, time: 0.126, data_time: 0.010, memory: 701, top-1: 78.6719, top-5: 94.1992, loss_main: 0.5441, loss_aux: 0.8304, loss: 1.5563
2023-02-02 22:58:27,987 - mmcls - INFO - Epoch [35][180/235]	lr: 5.483e-02, eta: 0:05:17, time: 0.159, data_time: 0.006, memory: 701, top-1: 68.0469, top-5: 85.7227, loss_main: 0.7471, loss_aux: 0.9558, loss: 2.4172
2023-02-02 22:58:29,401 - mmcls - INFO - Epoch [35][190/235]	lr: 5.456e-02, eta: 0:05:16, time: 0.146, data_time: 0.010, memory: 701, top-1: 56.8164, top-5: 75.1172, loss_main: 0.8367, loss_aux: 1.0579, loss: 3.1175
2023-02-02 22:58:30,645 - mmcls - INFO - Epoch [35][200/235]	lr: 5.429e-02, eta: 0:05:16, time: 0.124, data_time: 0.006, memory: 701, top-1: 53.6328, top-5: 73.1250, loss_main: 0.9610, loss_aux: 1.0956, loss: 3.1998
2023-02-02 22:58:32,032 - mmcls - INFO - Epoch [35][210/235]	lr: 5.402e-02, eta: 0:05:15, time: 0.139, data_time: 0.006, memory: 701, top-1: 66.1523, top-5: 81.5234, loss_main: 0.6127, loss_aux: 0.8034, loss: 2.4481
2023-02-02 22:58:33,371 - mmcls - INFO - Epoch [35][220/235]	lr: 5.375e-02, eta: 0:05:14, time: 0.135, data_time: 0.006, memory: 701, top-1: 54.0039, top-5: 67.3047, loss_main: 0.6743, loss_aux: 0.4733, loss: 3.0417
2023-02-02 22:58:34,627 - mmcls - INFO - Epoch [35][230/235]	lr: 5.348e-02, eta: 0:05:13, time: 0.125, data_time: 0.005, memory: 701, top-1: 61.6016, top-5: 78.2031, loss_main: 0.6060, loss_aux: 0.7990, loss: 2.7326
2023-02-02 22:58:35,216 - mmcls - INFO - Saving checkpoint at 35 epochs
2023-02-02 22:58:37,885 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:58:37,904 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_34.pth was removed
2023-02-02 22:58:38,163 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_35.pth.
2023-02-02 22:58:38,164 - mmcls - INFO - Best acc is 77.7500 at 35 epoch.
2023-02-02 22:58:38,164 - mmcls - INFO - Epoch(val) [35][12]	acc: 77.7500
2023-02-02 22:58:41,322 - mmcls - INFO - Epoch [36][10/235]	lr: 5.308e-02, eta: 0:05:13, time: 0.313, data_time: 0.207, memory: 701, loss: 2.6291, top-1: 63.6328, top-5: 84.1406, loss_main: 0.9620, loss_aux: 1.2708
2023-02-02 22:58:42,645 - mmcls - INFO - Epoch [36][20/235]	lr: 5.282e-02, eta: 0:05:12, time: 0.130, data_time: 0.003, memory: 701, loss: 2.5417, top-1: 67.8516, top-5: 84.9609, loss_main: 0.6502, loss_aux: 0.8764
2023-02-02 22:58:43,943 - mmcls - INFO - Epoch [36][30/235]	lr: 5.255e-02, eta: 0:05:11, time: 0.130, data_time: 0.005, memory: 701, loss: 2.7005, top-1: 63.3594, top-5: 81.8945, loss_main: 0.6884, loss_aux: 0.9204
2023-02-02 22:58:45,194 - mmcls - INFO - Epoch [36][40/235]	lr: 5.228e-02, eta: 0:05:11, time: 0.125, data_time: 0.005, memory: 701, loss: 2.4708, top-1: 65.2734, top-5: 81.0938, loss_main: 0.7299, loss_aux: 1.0781
2023-02-02 22:58:46,618 - mmcls - INFO - Epoch [36][50/235]	lr: 5.202e-02, eta: 0:05:10, time: 0.144, data_time: 0.005, memory: 701, loss: 1.9958, top-1: 72.6172, top-5: 87.0117, loss_main: 0.6081, loss_aux: 0.8451
2023-02-02 22:58:48,194 - mmcls - INFO - Epoch [36][60/235]	lr: 5.175e-02, eta: 0:05:09, time: 0.151, data_time: 0.003, memory: 701, loss: 3.7713, top-1: 47.8711, top-5: 66.9336, loss_main: 0.8421, loss_aux: 0.9951
2023-02-02 22:58:49,769 - mmcls - INFO - Epoch [36][70/235]	lr: 5.149e-02, eta: 0:05:09, time: 0.162, data_time: 0.010, memory: 701, loss: 3.1417, top-1: 55.8398, top-5: 72.0703, loss_main: 0.6969, loss_aux: 0.8437
2023-02-02 22:58:51,286 - mmcls - INFO - Epoch [36][80/235]	lr: 5.123e-02, eta: 0:05:08, time: 0.150, data_time: 0.005, memory: 701, loss: 2.7458, top-1: 64.2188, top-5: 82.1289, loss_main: 0.7279, loss_aux: 1.0065
2023-02-02 22:58:52,928 - mmcls - INFO - Epoch [36][90/235]	lr: 5.096e-02, eta: 0:05:08, time: 0.161, data_time: 0.007, memory: 701, loss: 1.5641, top-1: 81.4648, top-5: 95.8789, loss_main: 0.5022, loss_aux: 0.6589
2023-02-02 22:58:54,337 - mmcls - INFO - Epoch [36][100/235]	lr: 5.070e-02, eta: 0:05:07, time: 0.145, data_time: 0.010, memory: 701, loss: 2.7992, top-1: 64.9023, top-5: 84.8633, loss_main: 0.7257, loss_aux: 1.0114
2023-02-02 22:58:55,764 - mmcls - INFO - Epoch [36][110/235]	lr: 5.044e-02, eta: 0:05:06, time: 0.142, data_time: 0.006, memory: 701, loss: 2.8361, top-1: 58.7695, top-5: 73.9453, loss_main: 0.6700, loss_aux: 0.8547
2023-02-02 22:58:56,962 - mmcls - INFO - Epoch [36][120/235]	lr: 5.018e-02, eta: 0:05:05, time: 0.122, data_time: 0.007, memory: 701, loss: 1.7806, top-1: 75.2930, top-5: 87.5586, loss_main: 0.5349, loss_aux: 0.7955
2023-02-02 22:58:58,363 - mmcls - INFO - Epoch [36][130/235]	lr: 4.992e-02, eta: 0:05:05, time: 0.141, data_time: 0.005, memory: 701, loss: 2.0092, top-1: 73.0273, top-5: 88.9062, loss_main: 0.5590, loss_aux: 0.7852
2023-02-02 22:58:59,366 - mmcls - INFO - Epoch [36][140/235]	lr: 4.966e-02, eta: 0:05:04, time: 0.100, data_time: 0.004, memory: 701, loss: 1.1896, top-1: 80.7617, top-5: 90.7031, loss_main: 0.6224, loss_aux: 0.8422
2023-02-02 22:59:00,169 - mmcls - INFO - Epoch [36][150/235]	lr: 4.940e-02, eta: 0:05:03, time: 0.080, data_time: 0.004, memory: 701, loss: 1.9434, top-1: 73.3203, top-5: 88.1445, loss_main: 0.5692, loss_aux: 0.8631
2023-02-02 22:59:01,128 - mmcls - INFO - Epoch [36][160/235]	lr: 4.914e-02, eta: 0:05:02, time: 0.091, data_time: 0.004, memory: 701, loss: 3.2785, top-1: 58.2031, top-5: 77.4805, loss_main: 0.6972, loss_aux: 1.1614
2023-02-02 22:59:02,227 - mmcls - INFO - Epoch [36][170/235]	lr: 4.888e-02, eta: 0:05:01, time: 0.116, data_time: 0.009, memory: 701, loss: 3.0504, top-1: 58.4375, top-5: 76.4844, loss_main: 0.6372, loss_aux: 1.0449
2023-02-02 22:59:03,033 - mmcls - INFO - Epoch [36][180/235]	lr: 4.862e-02, eta: 0:05:00, time: 0.080, data_time: 0.003, memory: 701, loss: 3.8890, top-1: 37.5000, top-5: 53.5156, loss_main: 0.7677, loss_aux: 0.6824
2023-02-02 22:59:04,289 - mmcls - INFO - Epoch [36][190/235]	lr: 4.836e-02, eta: 0:05:00, time: 0.123, data_time: 0.004, memory: 701, loss: 2.3045, top-1: 66.5039, top-5: 84.3164, loss_main: 0.9063, loss_aux: 0.9021
2023-02-02 22:59:05,387 - mmcls - INFO - Epoch [36][200/235]	lr: 4.811e-02, eta: 0:04:59, time: 0.108, data_time: 0.007, memory: 701, loss: 2.8964, top-1: 63.0078, top-5: 82.2266, loss_main: 0.5731, loss_aux: 0.9512
2023-02-02 22:59:07,034 - mmcls - INFO - Epoch [36][210/235]	lr: 4.785e-02, eta: 0:04:58, time: 0.163, data_time: 0.009, memory: 701, loss: 2.2232, top-1: 71.2500, top-5: 86.6211, loss_main: 0.6150, loss_aux: 1.0309
2023-02-02 22:59:08,656 - mmcls - INFO - Epoch [36][220/235]	lr: 4.759e-02, eta: 0:04:58, time: 0.160, data_time: 0.010, memory: 701, loss: 2.3198, top-1: 67.1094, top-5: 83.4961, loss_main: 0.6565, loss_aux: 0.9116
2023-02-02 22:59:10,252 - mmcls - INFO - Epoch [36][230/235]	lr: 4.734e-02, eta: 0:04:57, time: 0.165, data_time: 0.012, memory: 701, loss: 4.3663, top-1: 33.5156, top-5: 49.1797, loss_main: 0.7197, loss_aux: 0.6731
2023-02-02 22:59:10,883 - mmcls - INFO - Saving checkpoint at 36 epochs
2023-02-02 22:59:13,645 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:59:13,662 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_35.pth was removed
2023-02-02 22:59:13,895 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_36.pth.
2023-02-02 22:59:13,895 - mmcls - INFO - Best acc is 78.1833 at 36 epoch.
2023-02-02 22:59:13,895 - mmcls - INFO - Epoch(val) [36][12]	acc: 78.1833
2023-02-02 22:59:17,405 - mmcls - INFO - Epoch [37][10/235]	lr: 4.696e-02, eta: 0:04:56, time: 0.347, data_time: 0.207, memory: 701, top-1: 79.2969, top-5: 95.4297, loss_main: 0.5869, loss_aux: 1.0926, loss: 1.6358
2023-02-02 22:59:18,877 - mmcls - INFO - Epoch [37][20/235]	lr: 4.670e-02, eta: 0:04:56, time: 0.144, data_time: 0.005, memory: 701, top-1: 80.8594, top-5: 94.0820, loss_main: 0.5254, loss_aux: 0.9363, loss: 1.5830
2023-02-02 22:59:20,199 - mmcls - INFO - Epoch [37][30/235]	lr: 4.645e-02, eta: 0:04:55, time: 0.135, data_time: 0.008, memory: 701, top-1: 82.2266, top-5: 93.5156, loss_main: 0.5589, loss_aux: 0.7341, loss: 1.1996
2023-02-02 22:59:21,614 - mmcls - INFO - Epoch [37][40/235]	lr: 4.620e-02, eta: 0:04:54, time: 0.141, data_time: 0.005, memory: 701, top-1: 70.1172, top-5: 83.7695, loss_main: 0.6674, loss_aux: 0.7795, loss: 2.0667
2023-02-02 22:59:23,234 - mmcls - INFO - Epoch [37][50/235]	lr: 4.594e-02, eta: 0:04:54, time: 0.158, data_time: 0.005, memory: 701, top-1: 54.1016, top-5: 72.3047, loss_main: 0.8150, loss_aux: 0.9480, loss: 3.2489
2023-02-02 22:59:24,544 - mmcls - INFO - Epoch [37][60/235]	lr: 4.569e-02, eta: 0:04:53, time: 0.134, data_time: 0.009, memory: 701, top-1: 69.6094, top-5: 89.0625, loss_main: 0.6403, loss_aux: 0.9984, loss: 2.5013
2023-02-02 22:59:26,261 - mmcls - INFO - Epoch [37][70/235]	lr: 4.544e-02, eta: 0:04:52, time: 0.163, data_time: 0.007, memory: 701, top-1: 66.5234, top-5: 82.1094, loss_main: 0.6318, loss_aux: 0.9821, loss: 2.4920
2023-02-02 22:59:27,724 - mmcls - INFO - Epoch [37][80/235]	lr: 4.519e-02, eta: 0:04:52, time: 0.156, data_time: 0.016, memory: 701, top-1: 77.5195, top-5: 88.8086, loss_main: 0.5816, loss_aux: 0.6752, loss: 1.5122
2023-02-02 22:59:29,091 - mmcls - INFO - Epoch [37][90/235]	lr: 4.494e-02, eta: 0:04:51, time: 0.132, data_time: 0.006, memory: 701, top-1: 75.2539, top-5: 89.2969, loss_main: 0.4895, loss_aux: 0.7185, loss: 1.8649
2023-02-02 22:59:30,716 - mmcls - INFO - Epoch [37][100/235]	lr: 4.469e-02, eta: 0:04:50, time: 0.168, data_time: 0.011, memory: 701, top-1: 55.3125, top-5: 68.6914, loss_main: 0.5145, loss_aux: 0.5524, loss: 2.9316
2023-02-02 22:59:32,226 - mmcls - INFO - Epoch [37][110/235]	lr: 4.444e-02, eta: 0:04:49, time: 0.151, data_time: 0.006, memory: 701, top-1: 60.2344, top-5: 76.7773, loss_main: 0.6372, loss_aux: 0.8469, loss: 2.9847
2023-02-02 22:59:33,657 - mmcls - INFO - Epoch [37][120/235]	lr: 4.419e-02, eta: 0:04:49, time: 0.144, data_time: 0.006, memory: 701, top-1: 66.0352, top-5: 80.3320, loss_main: 0.5982, loss_aux: 0.8746, loss: 2.4279
2023-02-02 22:59:35,121 - mmcls - INFO - Epoch [37][130/235]	lr: 4.395e-02, eta: 0:04:48, time: 0.147, data_time: 0.005, memory: 701, top-1: 61.1719, top-5: 82.5000, loss_main: 0.6771, loss_aux: 1.0610, loss: 3.1362
2023-02-02 22:59:36,593 - mmcls - INFO - Epoch [37][140/235]	lr: 4.370e-02, eta: 0:04:47, time: 0.148, data_time: 0.004, memory: 701, top-1: 69.4336, top-5: 85.0781, loss_main: 0.7644, loss_aux: 1.1132, loss: 2.2440
2023-02-02 22:59:38,000 - mmcls - INFO - Epoch [37][150/235]	lr: 4.345e-02, eta: 0:04:47, time: 0.138, data_time: 0.003, memory: 701, top-1: 74.1992, top-5: 85.7812, loss_main: 0.5421, loss_aux: 0.7877, loss: 1.6939
2023-02-02 22:59:39,539 - mmcls - INFO - Epoch [37][160/235]	lr: 4.321e-02, eta: 0:04:46, time: 0.154, data_time: 0.006, memory: 701, top-1: 56.6992, top-5: 74.6289, loss_main: 0.6343, loss_aux: 0.7995, loss: 3.0778
2023-02-02 22:59:40,791 - mmcls - INFO - Epoch [37][170/235]	lr: 4.296e-02, eta: 0:04:45, time: 0.125, data_time: 0.005, memory: 701, top-1: 53.9648, top-5: 67.4023, loss_main: 0.6787, loss_aux: 0.7032, loss: 2.9684
2023-02-02 22:59:42,095 - mmcls - INFO - Epoch [37][180/235]	lr: 4.272e-02, eta: 0:04:44, time: 0.133, data_time: 0.005, memory: 701, top-1: 68.3008, top-5: 80.5469, loss_main: 0.5065, loss_aux: 0.6780, loss: 2.3141
2023-02-02 22:59:43,125 - mmcls - INFO - Epoch [37][190/235]	lr: 4.247e-02, eta: 0:04:43, time: 0.100, data_time: 0.003, memory: 701, top-1: 56.2695, top-5: 70.7422, loss_main: 0.5985, loss_aux: 0.7932, loss: 3.1086
2023-02-02 22:59:44,388 - mmcls - INFO - Epoch [37][200/235]	lr: 4.223e-02, eta: 0:04:43, time: 0.127, data_time: 0.005, memory: 701, top-1: 54.6875, top-5: 73.1445, loss_main: 0.5732, loss_aux: 0.9207, loss: 3.3038
2023-02-02 22:59:45,830 - mmcls - INFO - Epoch [37][210/235]	lr: 4.199e-02, eta: 0:04:42, time: 0.142, data_time: 0.004, memory: 701, top-1: 70.0195, top-5: 85.9375, loss_main: 0.5509, loss_aux: 0.9394, loss: 2.4691
2023-02-02 22:59:47,153 - mmcls - INFO - Epoch [37][220/235]	lr: 4.175e-02, eta: 0:04:41, time: 0.129, data_time: 0.006, memory: 701, top-1: 67.2266, top-5: 83.8086, loss_main: 0.6522, loss_aux: 0.9775, loss: 2.5361
2023-02-02 22:59:48,372 - mmcls - INFO - Epoch [37][230/235]	lr: 4.150e-02, eta: 0:04:40, time: 0.128, data_time: 0.010, memory: 701, top-1: 46.7773, top-5: 63.6133, loss_main: 0.8331, loss_aux: 0.9709, loss: 3.5989
2023-02-02 22:59:48,910 - mmcls - INFO - Saving checkpoint at 37 epochs
2023-02-02 22:59:51,547 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:59:51,548 - mmcls - INFO - Epoch(val) [37][12]	acc: 77.7500
2023-02-02 22:59:55,215 - mmcls - INFO - Epoch [38][10/235]	lr: 4.114e-02, eta: 0:04:40, time: 0.361, data_time: 0.207, memory: 701, loss: 1.6140, top-1: 79.4922, top-5: 93.2031, loss_main: 0.5921, loss_aux: 0.9632
2023-02-02 22:59:56,775 - mmcls - INFO - Epoch [38][20/235]	lr: 4.090e-02, eta: 0:04:39, time: 0.157, data_time: 0.006, memory: 701, loss: 2.8988, top-1: 58.1250, top-5: 71.9141, loss_main: 0.5801, loss_aux: 0.8463
2023-02-02 22:59:58,244 - mmcls - INFO - Epoch [38][30/235]	lr: 4.066e-02, eta: 0:04:38, time: 0.142, data_time: 0.005, memory: 701, loss: 2.8622, top-1: 58.4570, top-5: 73.7891, loss_main: 0.7560, loss_aux: 0.8227
2023-02-02 22:59:59,760 - mmcls - INFO - Epoch [38][40/235]	lr: 4.042e-02, eta: 0:04:38, time: 0.152, data_time: 0.010, memory: 701, loss: 1.9676, top-1: 73.3203, top-5: 86.6992, loss_main: 0.7377, loss_aux: 0.7096
2023-02-02 23:00:01,130 - mmcls - INFO - Epoch [38][50/235]	lr: 4.019e-02, eta: 0:04:37, time: 0.143, data_time: 0.010, memory: 701, loss: 2.4325, top-1: 66.7969, top-5: 80.4883, loss_main: 0.5603, loss_aux: 0.6762
2023-02-02 23:00:02,541 - mmcls - INFO - Epoch [38][60/235]	lr: 3.995e-02, eta: 0:04:36, time: 0.140, data_time: 0.005, memory: 701, loss: 2.5636, top-1: 64.6875, top-5: 78.8672, loss_main: 0.5924, loss_aux: 0.7938
2023-02-02 23:00:04,199 - mmcls - INFO - Epoch [38][70/235]	lr: 3.971e-02, eta: 0:04:35, time: 0.165, data_time: 0.006, memory: 701, loss: 3.1355, top-1: 56.3477, top-5: 76.9336, loss_main: 0.8246, loss_aux: 1.0607
2023-02-02 23:00:05,536 - mmcls - INFO - Epoch [38][80/235]	lr: 3.947e-02, eta: 0:04:35, time: 0.130, data_time: 0.007, memory: 701, loss: 1.3071, top-1: 81.6602, top-5: 94.1211, loss_main: 0.6722, loss_aux: 1.0931
2023-02-02 23:00:07,089 - mmcls - INFO - Epoch [38][90/235]	lr: 3.924e-02, eta: 0:04:34, time: 0.160, data_time: 0.010, memory: 701, loss: 3.3420, top-1: 51.3086, top-5: 66.4453, loss_main: 0.5963, loss_aux: 0.8687
2023-02-02 23:00:08,648 - mmcls - INFO - Epoch [38][100/235]	lr: 3.900e-02, eta: 0:04:33, time: 0.153, data_time: 0.005, memory: 701, loss: 2.9520, top-1: 57.3047, top-5: 71.1523, loss_main: 0.6729, loss_aux: 0.6655
2023-02-02 23:00:09,940 - mmcls - INFO - Epoch [38][110/235]	lr: 3.877e-02, eta: 0:04:32, time: 0.129, data_time: 0.008, memory: 701, loss: 2.9195, top-1: 60.4492, top-5: 76.2891, loss_main: 0.6677, loss_aux: 0.7457
2023-02-02 23:00:10,953 - mmcls - INFO - Epoch [38][120/235]	lr: 3.854e-02, eta: 0:04:32, time: 0.108, data_time: 0.009, memory: 701, loss: 2.7034, top-1: 62.8711, top-5: 78.6328, loss_main: 0.5540, loss_aux: 0.8838
2023-02-02 23:00:11,871 - mmcls - INFO - Epoch [38][130/235]	lr: 3.830e-02, eta: 0:04:31, time: 0.088, data_time: 0.003, memory: 701, loss: 2.6057, top-1: 60.6836, top-5: 74.8633, loss_main: 0.6706, loss_aux: 0.7906
2023-02-02 23:00:13,157 - mmcls - INFO - Epoch [38][140/235]	lr: 3.807e-02, eta: 0:04:30, time: 0.128, data_time: 0.006, memory: 701, loss: 2.4763, top-1: 64.8047, top-5: 78.2812, loss_main: 0.6232, loss_aux: 0.7066
2023-02-02 23:00:13,939 - mmcls - INFO - Epoch [38][150/235]	lr: 3.784e-02, eta: 0:04:29, time: 0.081, data_time: 0.006, memory: 701, loss: 2.6648, top-1: 69.9023, top-5: 88.7695, loss_main: 0.6221, loss_aux: 1.0228
2023-02-02 23:00:15,248 - mmcls - INFO - Epoch [38][160/235]	lr: 3.761e-02, eta: 0:04:28, time: 0.129, data_time: 0.003, memory: 701, loss: 2.6434, top-1: 61.6016, top-5: 74.2578, loss_main: 0.5259, loss_aux: 0.7768
2023-02-02 23:00:16,547 - mmcls - INFO - Epoch [38][170/235]	lr: 3.737e-02, eta: 0:04:27, time: 0.126, data_time: 0.004, memory: 701, loss: 1.7906, top-1: 71.6797, top-5: 80.9766, loss_main: 0.3738, loss_aux: 0.4939
2023-02-02 23:00:18,040 - mmcls - INFO - Epoch [38][180/235]	lr: 3.714e-02, eta: 0:04:26, time: 0.151, data_time: 0.008, memory: 701, loss: 2.1647, top-1: 73.0664, top-5: 86.8750, loss_main: 0.4826, loss_aux: 0.9586
2023-02-02 23:00:19,480 - mmcls - INFO - Epoch [38][190/235]	lr: 3.692e-02, eta: 0:04:26, time: 0.141, data_time: 0.006, memory: 701, loss: 1.9126, top-1: 72.2852, top-5: 85.0781, loss_main: 0.5819, loss_aux: 0.8711
2023-02-02 23:00:20,915 - mmcls - INFO - Epoch [38][200/235]	lr: 3.669e-02, eta: 0:04:25, time: 0.147, data_time: 0.008, memory: 701, loss: 3.0573, top-1: 58.9844, top-5: 80.2148, loss_main: 0.8069, loss_aux: 0.9269
2023-02-02 23:00:22,307 - mmcls - INFO - Epoch [38][210/235]	lr: 3.646e-02, eta: 0:04:24, time: 0.141, data_time: 0.005, memory: 701, loss: 2.6065, top-1: 65.8203, top-5: 81.9336, loss_main: 0.5225, loss_aux: 0.8752
2023-02-02 23:00:23,579 - mmcls - INFO - Epoch [38][220/235]	lr: 3.623e-02, eta: 0:04:23, time: 0.127, data_time: 0.003, memory: 701, loss: 2.8975, top-1: 60.7422, top-5: 76.3867, loss_main: 0.5985, loss_aux: 0.8033
2023-02-02 23:00:24,308 - mmcls - INFO - Epoch [38][230/235]	lr: 3.600e-02, eta: 0:04:22, time: 0.073, data_time: 0.003, memory: 701, loss: 2.7307, top-1: 57.0312, top-5: 72.9883, loss_main: 0.7756, loss_aux: 0.9936
2023-02-02 23:00:24,606 - mmcls - INFO - Saving checkpoint at 38 epochs
2023-02-02 23:00:27,080 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:00:27,093 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_36.pth was removed
2023-02-02 23:00:27,297 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_38.pth.
2023-02-02 23:00:27,297 - mmcls - INFO - Best acc is 79.5667 at 38 epoch.
2023-02-02 23:00:27,298 - mmcls - INFO - Epoch(val) [38][12]	acc: 79.5667
2023-02-02 23:00:30,998 - mmcls - INFO - Epoch [39][10/235]	lr: 3.566e-02, eta: 0:04:22, time: 0.363, data_time: 0.214, memory: 701, top-1: 69.6094, top-5: 86.6016, loss_main: 0.5723, loss_aux: 0.9921, loss: 2.6677
2023-02-02 23:00:32,504 - mmcls - INFO - Epoch [39][20/235]	lr: 3.544e-02, eta: 0:04:21, time: 0.153, data_time: 0.007, memory: 701, top-1: 74.4336, top-5: 87.0312, loss_main: 0.4906, loss_aux: 0.9945, loss: 1.8178
2023-02-02 23:00:33,889 - mmcls - INFO - Epoch [39][30/235]	lr: 3.521e-02, eta: 0:04:20, time: 0.135, data_time: 0.005, memory: 701, top-1: 68.2227, top-5: 79.3359, loss_main: 0.3432, loss_aux: 0.7558, loss: 2.3740
2023-02-02 23:00:35,193 - mmcls - INFO - Epoch [39][40/235]	lr: 3.499e-02, eta: 0:04:19, time: 0.134, data_time: 0.009, memory: 701, top-1: 63.1641, top-5: 80.1953, loss_main: 0.6178, loss_aux: 1.0030, loss: 2.7369
2023-02-02 23:00:36,803 - mmcls - INFO - Epoch [39][50/235]	lr: 3.477e-02, eta: 0:04:19, time: 0.159, data_time: 0.006, memory: 701, top-1: 59.8438, top-5: 81.9141, loss_main: 0.7423, loss_aux: 1.0236, loss: 3.2130
2023-02-02 23:00:38,034 - mmcls - INFO - Epoch [39][60/235]	lr: 3.454e-02, eta: 0:04:18, time: 0.128, data_time: 0.008, memory: 701, top-1: 66.8359, top-5: 83.7109, loss_main: 0.6064, loss_aux: 0.9222, loss: 2.5662
2023-02-02 23:00:39,450 - mmcls - INFO - Epoch [39][70/235]	lr: 3.432e-02, eta: 0:04:17, time: 0.140, data_time: 0.003, memory: 701, top-1: 76.7188, top-5: 88.0273, loss_main: 0.4589, loss_aux: 0.8688, loss: 1.7171
2023-02-02 23:00:40,962 - mmcls - INFO - Epoch [39][80/235]	lr: 3.410e-02, eta: 0:04:16, time: 0.151, data_time: 0.005, memory: 701, top-1: 51.8359, top-5: 68.7891, loss_main: 0.5541, loss_aux: 0.9794, loss: 3.2986
2023-02-02 23:00:42,343 - mmcls - INFO - Epoch [39][90/235]	lr: 3.388e-02, eta: 0:04:15, time: 0.138, data_time: 0.005, memory: 701, top-1: 62.5195, top-5: 78.3789, loss_main: 0.6848, loss_aux: 0.7273, loss: 2.6965
2023-02-02 23:00:43,697 - mmcls - INFO - Epoch [39][100/235]	lr: 3.366e-02, eta: 0:04:15, time: 0.135, data_time: 0.005, memory: 701, top-1: 64.4531, top-5: 84.6875, loss_main: 0.6420, loss_aux: 0.9268, loss: 2.7741
2023-02-02 23:00:45,096 - mmcls - INFO - Epoch [39][110/235]	lr: 3.344e-02, eta: 0:04:14, time: 0.140, data_time: 0.005, memory: 701, top-1: 52.1875, top-5: 66.0938, loss_main: 0.4700, loss_aux: 0.6879, loss: 3.2323
2023-02-02 23:00:46,468 - mmcls - INFO - Epoch [39][120/235]	lr: 3.322e-02, eta: 0:04:13, time: 0.132, data_time: 0.005, memory: 701, top-1: 40.7812, top-5: 54.3359, loss_main: 0.5889, loss_aux: 0.4703, loss: 3.6660
2023-02-02 23:00:47,926 - mmcls - INFO - Epoch [39][130/235]	lr: 3.300e-02, eta: 0:04:12, time: 0.148, data_time: 0.010, memory: 701, top-1: 67.2461, top-5: 81.9727, loss_main: 0.5626, loss_aux: 0.6683, loss: 2.5238
2023-02-02 23:00:49,344 - mmcls - INFO - Epoch [39][140/235]	lr: 3.279e-02, eta: 0:04:11, time: 0.139, data_time: 0.007, memory: 701, top-1: 53.8281, top-5: 67.9492, loss_main: 0.6099, loss_aux: 0.6726, loss: 3.1620
2023-02-02 23:00:50,733 - mmcls - INFO - Epoch [39][150/235]	lr: 3.257e-02, eta: 0:04:11, time: 0.143, data_time: 0.010, memory: 701, top-1: 59.3359, top-5: 78.7695, loss_main: 0.6550, loss_aux: 1.1005, loss: 3.0028
2023-02-02 23:00:52,076 - mmcls - INFO - Epoch [39][160/235]	lr: 3.235e-02, eta: 0:04:10, time: 0.135, data_time: 0.006, memory: 701, top-1: 66.9531, top-5: 82.3242, loss_main: 0.6390, loss_aux: 0.9421, loss: 2.4719
2023-02-02 23:00:53,414 - mmcls - INFO - Epoch [39][170/235]	lr: 3.214e-02, eta: 0:04:09, time: 0.134, data_time: 0.005, memory: 701, top-1: 62.8320, top-5: 79.9609, loss_main: 0.6912, loss_aux: 1.0326, loss: 2.6789
2023-02-02 23:00:55,002 - mmcls - INFO - Epoch [39][180/235]	lr: 3.192e-02, eta: 0:04:08, time: 0.160, data_time: 0.005, memory: 701, top-1: 72.0898, top-5: 80.8789, loss_main: 0.3812, loss_aux: 0.5090, loss: 1.8327
2023-02-02 23:00:56,366 - mmcls - INFO - Epoch [39][190/235]	lr: 3.171e-02, eta: 0:04:07, time: 0.132, data_time: 0.004, memory: 701, top-1: 64.1797, top-5: 82.6367, loss_main: 0.5981, loss_aux: 1.0177, loss: 2.8121
2023-02-02 23:00:57,699 - mmcls - INFO - Epoch [39][200/235]	lr: 3.150e-02, eta: 0:04:06, time: 0.135, data_time: 0.008, memory: 701, top-1: 69.4727, top-5: 81.5820, loss_main: 0.5876, loss_aux: 0.7639, loss: 2.1257
2023-02-02 23:00:59,331 - mmcls - INFO - Epoch [39][210/235]	lr: 3.128e-02, eta: 0:04:06, time: 0.159, data_time: 0.006, memory: 701, top-1: 61.4844, top-5: 75.2148, loss_main: 0.5058, loss_aux: 0.9285, loss: 2.7378
2023-02-02 23:01:00,844 - mmcls - INFO - Epoch [39][220/235]	lr: 3.107e-02, eta: 0:04:05, time: 0.156, data_time: 0.010, memory: 701, top-1: 66.3867, top-5: 81.9336, loss_main: 0.6811, loss_aux: 0.9603, loss: 2.4776
2023-02-02 23:01:02,059 - mmcls - INFO - Epoch [39][230/235]	lr: 3.086e-02, eta: 0:04:04, time: 0.122, data_time: 0.005, memory: 701, top-1: 59.4336, top-5: 75.0977, loss_main: 0.6689, loss_aux: 0.8666, loss: 2.9970
2023-02-02 23:01:02,664 - mmcls - INFO - Saving checkpoint at 39 epochs
2023-02-02 23:01:05,289 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:01:05,290 - mmcls - INFO - Epoch(val) [39][12]	acc: 78.5667
2023-02-02 23:01:08,859 - mmcls - INFO - Epoch [40][10/235]	lr: 3.055e-02, eta: 0:04:03, time: 0.351, data_time: 0.212, memory: 701, top-1: 79.0234, top-5: 91.8945, loss_main: 0.4553, loss_aux: 0.6619, loss: 1.7415
2023-02-02 23:01:10,271 - mmcls - INFO - Epoch [40][20/235]	lr: 3.034e-02, eta: 0:04:02, time: 0.142, data_time: 0.006, memory: 701, top-1: 53.3984, top-5: 70.1562, loss_main: 0.5819, loss_aux: 0.9571, loss: 3.4555
2023-02-02 23:01:11,672 - mmcls - INFO - Epoch [40][30/235]	lr: 3.013e-02, eta: 0:04:02, time: 0.139, data_time: 0.006, memory: 701, top-1: 80.4297, top-5: 90.8398, loss_main: 0.4764, loss_aux: 0.8244, loss: 1.5425
2023-02-02 23:01:12,990 - mmcls - INFO - Epoch [40][40/235]	lr: 2.992e-02, eta: 0:04:01, time: 0.136, data_time: 0.007, memory: 701, top-1: 60.2344, top-5: 79.1992, loss_main: 0.7393, loss_aux: 0.9129, loss: 2.9600
2023-02-02 23:01:13,842 - mmcls - INFO - Epoch [40][50/235]	lr: 2.971e-02, eta: 0:04:00, time: 0.083, data_time: 0.003, memory: 701, top-1: 52.0898, top-5: 64.4531, loss_main: 0.5228, loss_aux: 0.5858, loss: 3.2291
2023-02-02 23:01:14,739 - mmcls - INFO - Epoch [40][60/235]	lr: 2.950e-02, eta: 0:03:59, time: 0.093, data_time: 0.005, memory: 701, top-1: 49.1406, top-5: 65.7227, loss_main: 0.6123, loss_aux: 0.7292, loss: 3.4741
2023-02-02 23:01:15,818 - mmcls - INFO - Epoch [40][70/235]	lr: 2.930e-02, eta: 0:03:58, time: 0.107, data_time: 0.002, memory: 701, top-1: 67.2266, top-5: 82.3828, loss_main: 0.7221, loss_aux: 0.7788, loss: 2.4333
2023-02-02 23:01:16,642 - mmcls - INFO - Epoch [40][80/235]	lr: 2.909e-02, eta: 0:03:57, time: 0.081, data_time: 0.003, memory: 701, top-1: 73.9453, top-5: 90.3320, loss_main: 0.6292, loss_aux: 1.0947, loss: 2.3211
2023-02-02 23:01:18,172 - mmcls - INFO - Epoch [40][90/235]	lr: 2.889e-02, eta: 0:03:56, time: 0.146, data_time: 0.005, memory: 701, top-1: 59.7656, top-5: 73.9062, loss_main: 0.5684, loss_aux: 0.7793, loss: 2.6584
2023-02-02 23:01:19,094 - mmcls - INFO - Epoch [40][100/235]	lr: 2.868e-02, eta: 0:03:55, time: 0.101, data_time: 0.012, memory: 701, top-1: 84.2188, top-5: 93.5352, loss_main: 0.6150, loss_aux: 0.8284, loss: 1.3418
2023-02-02 23:01:20,428 - mmcls - INFO - Epoch [40][110/235]	lr: 2.848e-02, eta: 0:03:54, time: 0.131, data_time: 0.003, memory: 701, top-1: 62.7930, top-5: 77.3438, loss_main: 0.5615, loss_aux: 0.8604, loss: 2.7000
2023-02-02 23:01:21,408 - mmcls - INFO - Epoch [40][120/235]	lr: 2.828e-02, eta: 0:03:53, time: 0.098, data_time: 0.006, memory: 701, top-1: 57.1094, top-5: 71.6406, loss_main: 0.6369, loss_aux: 0.9578, loss: 2.9320
2023-02-02 23:01:22,981 - mmcls - INFO - Epoch [40][130/235]	lr: 2.808e-02, eta: 0:03:53, time: 0.155, data_time: 0.006, memory: 701, top-1: 59.8242, top-5: 75.1172, loss_main: 0.6314, loss_aux: 0.6866, loss: 2.9047
2023-02-02 23:01:24,513 - mmcls - INFO - Epoch [40][140/235]	lr: 2.787e-02, eta: 0:03:52, time: 0.156, data_time: 0.009, memory: 701, top-1: 55.1172, top-5: 69.6484, loss_main: 0.7555, loss_aux: 0.7971, loss: 3.0932
2023-02-02 23:01:26,004 - mmcls - INFO - Epoch [40][150/235]	lr: 2.767e-02, eta: 0:03:51, time: 0.154, data_time: 0.007, memory: 701, top-1: 76.0156, top-5: 89.3555, loss_main: 0.4885, loss_aux: 0.8462, loss: 2.1439
2023-02-02 23:01:27,166 - mmcls - INFO - Epoch [40][160/235]	lr: 2.747e-02, eta: 0:03:50, time: 0.107, data_time: 0.002, memory: 701, top-1: 65.6641, top-5: 79.9805, loss_main: 0.5241, loss_aux: 0.7428, loss: 2.5609
2023-02-02 23:01:28,617 - mmcls - INFO - Epoch [40][170/235]	lr: 2.728e-02, eta: 0:03:49, time: 0.153, data_time: 0.011, memory: 701, top-1: 79.8633, top-5: 93.1445, loss_main: 0.4396, loss_aux: 0.8416, loss: 1.8321
2023-02-02 23:01:29,677 - mmcls - INFO - Epoch [40][180/235]	lr: 2.708e-02, eta: 0:03:48, time: 0.104, data_time: 0.003, memory: 701, top-1: 72.9492, top-5: 91.0938, loss_main: 0.5972, loss_aux: 1.1529, loss: 2.3784
2023-02-02 23:01:31,025 - mmcls - INFO - Epoch [40][190/235]	lr: 2.688e-02, eta: 0:03:48, time: 0.138, data_time: 0.006, memory: 701, top-1: 64.4531, top-5: 80.4883, loss_main: 0.6398, loss_aux: 0.9360, loss: 2.5953
2023-02-02 23:01:32,287 - mmcls - INFO - Epoch [40][200/235]	lr: 2.668e-02, eta: 0:03:47, time: 0.120, data_time: 0.003, memory: 701, top-1: 40.9375, top-5: 53.3789, loss_main: 0.5519, loss_aux: 0.5170, loss: 3.7530
2023-02-02 23:01:33,621 - mmcls - INFO - Epoch [40][210/235]	lr: 2.649e-02, eta: 0:03:46, time: 0.136, data_time: 0.009, memory: 701, top-1: 72.6953, top-5: 85.8984, loss_main: 0.3872, loss_aux: 0.8277, loss: 2.0513
2023-02-02 23:01:35,254 - mmcls - INFO - Epoch [40][220/235]	lr: 2.629e-02, eta: 0:03:45, time: 0.161, data_time: 0.006, memory: 701, top-1: 72.0508, top-5: 87.1680, loss_main: 0.5263, loss_aux: 0.8750, loss: 2.2725
2023-02-02 23:01:36,296 - mmcls - INFO - Epoch [40][230/235]	lr: 2.610e-02, eta: 0:03:44, time: 0.109, data_time: 0.008, memory: 701, top-1: 84.7266, top-5: 95.6445, loss_main: 0.4611, loss_aux: 0.9306, loss: 1.2092
2023-02-02 23:01:36,720 - mmcls - INFO - Saving checkpoint at 40 epochs
2023-02-02 23:01:39,324 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:01:39,325 - mmcls - INFO - Epoch(val) [40][12]	acc: 79.2167
2023-02-02 23:01:43,002 - mmcls - INFO - Epoch [41][10/235]	lr: 2.580e-02, eta: 0:03:43, time: 0.359, data_time: 0.206, memory: 701, loss: 1.5456, top-1: 79.5117, top-5: 88.7109, loss_main: 0.3023, loss_aux: 0.7607
2023-02-02 23:01:43,993 - mmcls - INFO - Epoch [41][20/235]	lr: 2.561e-02, eta: 0:03:42, time: 0.104, data_time: 0.008, memory: 701, loss: 2.4552, top-1: 57.5586, top-5: 64.6484, loss_main: 0.3957, loss_aux: 0.5623
2023-02-02 23:01:45,249 - mmcls - INFO - Epoch [41][30/235]	lr: 2.542e-02, eta: 0:03:41, time: 0.124, data_time: 0.004, memory: 701, loss: 2.2110, top-1: 72.7539, top-5: 86.3086, loss_main: 0.3891, loss_aux: 0.8487
2023-02-02 23:01:46,533 - mmcls - INFO - Epoch [41][40/235]	lr: 2.523e-02, eta: 0:03:41, time: 0.125, data_time: 0.005, memory: 701, loss: 2.6018, top-1: 68.5938, top-5: 84.7461, loss_main: 0.5394, loss_aux: 0.9254
2023-02-02 23:01:48,048 - mmcls - INFO - Epoch [41][50/235]	lr: 2.504e-02, eta: 0:03:40, time: 0.154, data_time: 0.009, memory: 701, loss: 3.6714, top-1: 51.4844, top-5: 73.0664, loss_main: 0.6715, loss_aux: 1.1318
2023-02-02 23:01:49,738 - mmcls - INFO - Epoch [41][60/235]	lr: 2.485e-02, eta: 0:03:39, time: 0.169, data_time: 0.007, memory: 701, loss: 3.1732, top-1: 58.0273, top-5: 77.3633, loss_main: 0.6593, loss_aux: 1.0357
2023-02-02 23:01:50,934 - mmcls - INFO - Epoch [41][70/235]	lr: 2.466e-02, eta: 0:03:38, time: 0.123, data_time: 0.007, memory: 701, loss: 3.1553, top-1: 59.1406, top-5: 76.0547, loss_main: 0.5922, loss_aux: 0.9345
2023-02-02 23:01:52,183 - mmcls - INFO - Epoch [41][80/235]	lr: 2.447e-02, eta: 0:03:37, time: 0.123, data_time: 0.003, memory: 701, loss: 2.4827, top-1: 67.7344, top-5: 82.5781, loss_main: 0.5729, loss_aux: 1.1030
2023-02-02 23:01:53,229 - mmcls - INFO - Epoch [41][90/235]	lr: 2.428e-02, eta: 0:03:36, time: 0.107, data_time: 0.005, memory: 701, loss: 2.1902, top-1: 65.6836, top-5: 74.7070, loss_main: 0.5814, loss_aux: 0.8328
2023-02-02 23:01:54,503 - mmcls - INFO - Epoch [41][100/235]	lr: 2.409e-02, eta: 0:03:35, time: 0.123, data_time: 0.002, memory: 701, loss: 2.0241, top-1: 76.1523, top-5: 89.7266, loss_main: 0.5366, loss_aux: 0.8244
2023-02-02 23:01:55,896 - mmcls - INFO - Epoch [41][110/235]	lr: 2.391e-02, eta: 0:03:34, time: 0.141, data_time: 0.007, memory: 701, loss: 2.4563, top-1: 69.1016, top-5: 86.5234, loss_main: 0.7043, loss_aux: 1.1123
2023-02-02 23:01:57,267 - mmcls - INFO - Epoch [41][120/235]	lr: 2.372e-02, eta: 0:03:34, time: 0.137, data_time: 0.006, memory: 701, loss: 2.5981, top-1: 64.4727, top-5: 79.1211, loss_main: 0.6067, loss_aux: 1.1134
2023-02-02 23:01:58,312 - mmcls - INFO - Epoch [41][130/235]	lr: 2.354e-02, eta: 0:03:33, time: 0.103, data_time: 0.005, memory: 701, loss: 2.4380, top-1: 67.9297, top-5: 84.0625, loss_main: 0.7171, loss_aux: 1.2625
2023-02-02 23:01:59,787 - mmcls - INFO - Epoch [41][140/235]	lr: 2.335e-02, eta: 0:03:32, time: 0.149, data_time: 0.007, memory: 701, loss: 1.8129, top-1: 75.2734, top-5: 86.1133, loss_main: 0.6816, loss_aux: 0.9936
2023-02-02 23:02:00,683 - mmcls - INFO - Epoch [41][150/235]	lr: 2.317e-02, eta: 0:03:31, time: 0.093, data_time: 0.005, memory: 701, loss: 2.5657, top-1: 66.6211, top-5: 83.4375, loss_main: 0.6268, loss_aux: 1.0274
2023-02-02 23:02:02,402 - mmcls - INFO - Epoch [41][160/235]	lr: 2.298e-02, eta: 0:03:30, time: 0.170, data_time: 0.002, memory: 701, loss: 2.9002, top-1: 54.9805, top-5: 67.8516, loss_main: 0.5729, loss_aux: 0.5181
2023-02-02 23:02:03,133 - mmcls - INFO - Epoch [41][170/235]	lr: 2.280e-02, eta: 0:03:29, time: 0.075, data_time: 0.005, memory: 701, loss: 2.8172, top-1: 59.6875, top-5: 74.9219, loss_main: 0.6588, loss_aux: 0.7723
2023-02-02 23:02:03,934 - mmcls - INFO - Epoch [41][180/235]	lr: 2.262e-02, eta: 0:03:28, time: 0.081, data_time: 0.002, memory: 701, loss: 2.8403, top-1: 55.3906, top-5: 68.4375, loss_main: 0.5422, loss_aux: 0.6490
2023-02-02 23:02:04,676 - mmcls - INFO - Epoch [41][190/235]	lr: 2.244e-02, eta: 0:03:27, time: 0.074, data_time: 0.001, memory: 701, loss: 2.4544, top-1: 71.0547, top-5: 85.7227, loss_main: 0.5858, loss_aux: 0.8700
2023-02-02 23:02:04,963 - mmcls - INFO - Epoch [41][200/235]	lr: 2.226e-02, eta: 0:03:26, time: 0.030, data_time: 0.001, memory: 701, loss: 2.0697, top-1: 72.8711, top-5: 84.9805, loss_main: 0.4991, loss_aux: 0.6666
2023-02-02 23:02:05,272 - mmcls - INFO - Epoch [41][210/235]	lr: 2.208e-02, eta: 0:03:25, time: 0.031, data_time: 0.000, memory: 701, loss: 2.4545, top-1: 62.2266, top-5: 72.5391, loss_main: 0.4191, loss_aux: 0.7456
2023-02-02 23:02:05,638 - mmcls - INFO - Epoch [41][220/235]	lr: 2.190e-02, eta: 0:03:24, time: 0.033, data_time: 0.001, memory: 701, loss: 2.0969, top-1: 68.8477, top-5: 79.0625, loss_main: 0.4811, loss_aux: 0.4676
2023-02-02 23:02:06,749 - mmcls - INFO - Epoch [41][230/235]	lr: 2.173e-02, eta: 0:03:23, time: 0.112, data_time: 0.004, memory: 701, loss: 3.2799, top-1: 57.6758, top-5: 75.8203, loss_main: 0.6183, loss_aux: 0.9915
2023-02-02 23:02:07,141 - mmcls - INFO - Saving checkpoint at 41 epochs
2023-02-02 23:02:09,745 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:02:09,757 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_38.pth was removed
2023-02-02 23:02:09,970 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_41.pth.
2023-02-02 23:02:09,970 - mmcls - INFO - Best acc is 80.6833 at 41 epoch.
2023-02-02 23:02:09,970 - mmcls - INFO - Epoch(val) [41][12]	acc: 80.6833
2023-02-02 23:02:13,788 - mmcls - INFO - Epoch [42][10/235]	lr: 2.146e-02, eta: 0:03:22, time: 0.376, data_time: 0.206, memory: 701, top-1: 46.3281, top-5: 67.5977, loss_main: 0.7278, loss_aux: 0.9615, loss: 3.8486
2023-02-02 23:02:15,103 - mmcls - INFO - Epoch [42][20/235]	lr: 2.128e-02, eta: 0:03:21, time: 0.131, data_time: 0.006, memory: 701, top-1: 77.0508, top-5: 91.1133, loss_main: 0.4658, loss_aux: 0.9489, loss: 2.0763
2023-02-02 23:02:16,639 - mmcls - INFO - Epoch [42][30/235]	lr: 2.111e-02, eta: 0:03:20, time: 0.155, data_time: 0.006, memory: 701, top-1: 75.2930, top-5: 87.8320, loss_main: 0.4260, loss_aux: 1.0226, loss: 2.2115
2023-02-02 23:02:18,391 - mmcls - INFO - Epoch [42][40/235]	lr: 2.094e-02, eta: 0:03:19, time: 0.175, data_time: 0.005, memory: 701, top-1: 80.0586, top-5: 93.8281, loss_main: 0.3661, loss_aux: 0.7720, loss: 1.7750
2023-02-02 23:02:19,772 - mmcls - INFO - Epoch [42][50/235]	lr: 2.076e-02, eta: 0:03:18, time: 0.140, data_time: 0.005, memory: 701, top-1: 61.6211, top-5: 78.8477, loss_main: 0.6212, loss_aux: 0.8008, loss: 2.9241
2023-02-02 23:02:21,057 - mmcls - INFO - Epoch [42][60/235]	lr: 2.059e-02, eta: 0:03:18, time: 0.127, data_time: 0.003, memory: 701, top-1: 65.2148, top-5: 80.8203, loss_main: 0.6027, loss_aux: 0.7409, loss: 2.4538
2023-02-02 23:02:22,380 - mmcls - INFO - Epoch [42][70/235]	lr: 2.042e-02, eta: 0:03:17, time: 0.131, data_time: 0.005, memory: 701, top-1: 67.1289, top-5: 85.4883, loss_main: 0.8047, loss_aux: 1.1301, loss: 2.6837
2023-02-02 23:02:23,735 - mmcls - INFO - Epoch [42][80/235]	lr: 2.025e-02, eta: 0:03:16, time: 0.137, data_time: 0.006, memory: 701, top-1: 67.3633, top-5: 86.6992, loss_main: 0.6312, loss_aux: 1.0891, loss: 2.6420
2023-02-02 23:02:25,087 - mmcls - INFO - Epoch [42][90/235]	lr: 2.008e-02, eta: 0:03:15, time: 0.135, data_time: 0.005, memory: 701, top-1: 69.3555, top-5: 84.8047, loss_main: 0.6732, loss_aux: 1.1579, loss: 2.4794
2023-02-02 23:02:26,352 - mmcls - INFO - Epoch [42][100/235]	lr: 1.991e-02, eta: 0:03:14, time: 0.125, data_time: 0.006, memory: 701, top-1: 80.8203, top-5: 90.7812, loss_main: 0.5013, loss_aux: 0.9990, loss: 1.4951
2023-02-02 23:02:27,736 - mmcls - INFO - Epoch [42][110/235]	lr: 1.974e-02, eta: 0:03:13, time: 0.141, data_time: 0.007, memory: 701, top-1: 66.3867, top-5: 79.2188, loss_main: 0.4058, loss_aux: 0.7727, loss: 2.4904
2023-02-02 23:02:29,197 - mmcls - INFO - Epoch [42][120/235]	lr: 1.957e-02, eta: 0:03:12, time: 0.141, data_time: 0.005, memory: 701, top-1: 74.3359, top-5: 85.4492, loss_main: 0.4395, loss_aux: 0.8174, loss: 1.8517
2023-02-02 23:02:30,592 - mmcls - INFO - Epoch [42][130/235]	lr: 1.940e-02, eta: 0:03:11, time: 0.144, data_time: 0.010, memory: 701, top-1: 51.9531, top-5: 64.0430, loss_main: 0.4745, loss_aux: 0.6290, loss: 3.1399
2023-02-02 23:02:31,855 - mmcls - INFO - Epoch [42][140/235]	lr: 1.923e-02, eta: 0:03:10, time: 0.126, data_time: 0.006, memory: 701, top-1: 85.9375, top-5: 95.9766, loss_main: 0.4205, loss_aux: 0.8875, loss: 1.2754
2023-02-02 23:02:33,428 - mmcls - INFO - Epoch [42][150/235]	lr: 1.907e-02, eta: 0:03:10, time: 0.155, data_time: 0.006, memory: 701, top-1: 51.2695, top-5: 65.6836, loss_main: 0.5524, loss_aux: 0.8163, loss: 3.3672
2023-02-02 23:02:34,794 - mmcls - INFO - Epoch [42][160/235]	lr: 1.890e-02, eta: 0:03:09, time: 0.140, data_time: 0.008, memory: 701, top-1: 75.7812, top-5: 85.8984, loss_main: 0.3153, loss_aux: 0.5254, loss: 1.7514
2023-02-02 23:02:36,063 - mmcls - INFO - Epoch [42][170/235]	lr: 1.874e-02, eta: 0:03:08, time: 0.129, data_time: 0.005, memory: 701, top-1: 64.2383, top-5: 80.3516, loss_main: 0.5516, loss_aux: 0.7700, loss: 2.7293
2023-02-02 23:02:37,541 - mmcls - INFO - Epoch [42][180/235]	lr: 1.858e-02, eta: 0:03:07, time: 0.143, data_time: 0.003, memory: 701, top-1: 81.2891, top-5: 90.2930, loss_main: 0.5338, loss_aux: 0.8444, loss: 1.4835
2023-02-02 23:02:39,112 - mmcls - INFO - Epoch [42][190/235]	lr: 1.841e-02, eta: 0:03:06, time: 0.161, data_time: 0.008, memory: 701, top-1: 87.3633, top-5: 97.3633, loss_main: 0.3283, loss_aux: 0.8752, loss: 1.3125
2023-02-02 23:02:40,770 - mmcls - INFO - Epoch [42][200/235]	lr: 1.825e-02, eta: 0:03:05, time: 0.165, data_time: 0.004, memory: 701, top-1: 66.6602, top-5: 82.6367, loss_main: 0.6037, loss_aux: 0.8560, loss: 2.5034
2023-02-02 23:02:42,045 - mmcls - INFO - Epoch [42][210/235]	lr: 1.809e-02, eta: 0:03:04, time: 0.127, data_time: 0.005, memory: 701, top-1: 55.0391, top-5: 68.4180, loss_main: 0.8736, loss_aux: 0.7734, loss: 2.8458
2023-02-02 23:02:43,596 - mmcls - INFO - Epoch [42][220/235]	lr: 1.793e-02, eta: 0:03:04, time: 0.155, data_time: 0.006, memory: 701, top-1: 43.3398, top-5: 61.4453, loss_main: 0.7056, loss_aux: 0.7124, loss: 3.8063
2023-02-02 23:02:44,868 - mmcls - INFO - Epoch [42][230/235]	lr: 1.777e-02, eta: 0:03:03, time: 0.128, data_time: 0.006, memory: 701, top-1: 57.6172, top-5: 68.0469, loss_main: 0.6254, loss_aux: 0.5648, loss: 2.7702
2023-02-02 23:02:45,490 - mmcls - INFO - Saving checkpoint at 42 epochs
2023-02-02 23:02:48,122 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:02:48,136 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_41.pth was removed
2023-02-02 23:02:48,388 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_42.pth.
2023-02-02 23:02:48,389 - mmcls - INFO - Best acc is 80.7333 at 42 epoch.
2023-02-02 23:02:48,389 - mmcls - INFO - Epoch(val) [42][12]	acc: 80.7333
2023-02-02 23:02:51,919 - mmcls - INFO - Epoch [43][10/235]	lr: 1.753e-02, eta: 0:03:02, time: 0.348, data_time: 0.217, memory: 701, loss: 2.2700, top-1: 72.3828, top-5: 86.8555, loss_main: 0.5846, loss_aux: 0.9783
2023-02-02 23:02:53,044 - mmcls - INFO - Epoch [43][20/235]	lr: 1.737e-02, eta: 0:03:01, time: 0.110, data_time: 0.006, memory: 701, loss: 3.1615, top-1: 47.4805, top-5: 55.6836, loss_main: 0.3447, loss_aux: 0.5275
2023-02-02 23:02:54,581 - mmcls - INFO - Epoch [43][30/235]	lr: 1.722e-02, eta: 0:03:00, time: 0.157, data_time: 0.008, memory: 701, loss: 3.2696, top-1: 52.3828, top-5: 67.7734, loss_main: 0.5017, loss_aux: 0.8922
2023-02-02 23:02:55,972 - mmcls - INFO - Epoch [43][40/235]	lr: 1.706e-02, eta: 0:02:59, time: 0.137, data_time: 0.005, memory: 701, loss: 2.2778, top-1: 66.1523, top-5: 74.1406, loss_main: 0.3394, loss_aux: 0.5959
2023-02-02 23:02:57,260 - mmcls - INFO - Epoch [43][50/235]	lr: 1.690e-02, eta: 0:02:58, time: 0.132, data_time: 0.008, memory: 701, loss: 2.5358, top-1: 69.6875, top-5: 85.6641, loss_main: 0.6136, loss_aux: 1.0146
2023-02-02 23:02:58,531 - mmcls - INFO - Epoch [43][60/235]	lr: 1.675e-02, eta: 0:02:57, time: 0.126, data_time: 0.005, memory: 701, loss: 2.7977, top-1: 60.4492, top-5: 71.2891, loss_main: 0.3923, loss_aux: 0.6737
2023-02-02 23:02:59,872 - mmcls - INFO - Epoch [43][70/235]	lr: 1.660e-02, eta: 0:02:56, time: 0.135, data_time: 0.006, memory: 701, loss: 2.1105, top-1: 73.1055, top-5: 86.6992, loss_main: 0.4161, loss_aux: 0.8839
2023-02-02 23:03:00,983 - mmcls - INFO - Epoch [43][80/235]	lr: 1.644e-02, eta: 0:02:55, time: 0.106, data_time: 0.005, memory: 701, loss: 1.0242, top-1: 89.7461, top-5: 97.6172, loss_main: 0.3139, loss_aux: 0.8278
2023-02-02 23:03:02,382 - mmcls - INFO - Epoch [43][90/235]	lr: 1.629e-02, eta: 0:02:54, time: 0.144, data_time: 0.010, memory: 701, loss: 1.3327, top-1: 83.6328, top-5: 92.4023, loss_main: 0.3327, loss_aux: 0.6574
2023-02-02 23:03:03,503 - mmcls - INFO - Epoch [43][100/235]	lr: 1.614e-02, eta: 0:02:53, time: 0.110, data_time: 0.007, memory: 701, loss: 1.7659, top-1: 78.6523, top-5: 89.8047, loss_main: 0.4360, loss_aux: 0.8070
2023-02-02 23:03:05,101 - mmcls - INFO - Epoch [43][110/235]	lr: 1.599e-02, eta: 0:02:52, time: 0.152, data_time: 0.009, memory: 701, loss: 1.6546, top-1: 83.3008, top-5: 94.5508, loss_main: 0.3775, loss_aux: 0.9572
2023-02-02 23:03:06,470 - mmcls - INFO - Epoch [43][120/235]	lr: 1.584e-02, eta: 0:02:51, time: 0.147, data_time: 0.016, memory: 701, loss: 2.2828, top-1: 70.6250, top-5: 81.3672, loss_main: 0.3219, loss_aux: 0.7753
2023-02-02 23:03:07,606 - mmcls - INFO - Epoch [43][130/235]	lr: 1.569e-02, eta: 0:02:51, time: 0.118, data_time: 0.006, memory: 701, loss: 2.6299, top-1: 62.3633, top-5: 73.3008, loss_main: 0.4100, loss_aux: 0.5562
2023-02-02 23:03:08,903 - mmcls - INFO - Epoch [43][140/235]	lr: 1.554e-02, eta: 0:02:50, time: 0.125, data_time: 0.002, memory: 701, loss: 1.6492, top-1: 81.7188, top-5: 92.1289, loss_main: 0.3214, loss_aux: 0.7360
2023-02-02 23:03:10,129 - mmcls - INFO - Epoch [43][150/235]	lr: 1.539e-02, eta: 0:02:49, time: 0.125, data_time: 0.006, memory: 701, loss: 2.1222, top-1: 76.2891, top-5: 88.5938, loss_main: 0.5152, loss_aux: 1.0461
2023-02-02 23:03:11,618 - mmcls - INFO - Epoch [43][160/235]	lr: 1.525e-02, eta: 0:02:48, time: 0.149, data_time: 0.004, memory: 701, loss: 1.9828, top-1: 76.1133, top-5: 88.8477, loss_main: 0.4950, loss_aux: 1.0811
2023-02-02 23:03:12,771 - mmcls - INFO - Epoch [43][170/235]	lr: 1.510e-02, eta: 0:02:47, time: 0.117, data_time: 0.005, memory: 701, loss: 2.7259, top-1: 57.3633, top-5: 69.5312, loss_main: 0.5531, loss_aux: 0.6642
2023-02-02 23:03:14,303 - mmcls - INFO - Epoch [43][180/235]	lr: 1.495e-02, eta: 0:02:46, time: 0.146, data_time: 0.003, memory: 701, loss: 2.6074, top-1: 65.5078, top-5: 79.5508, loss_main: 0.5946, loss_aux: 0.8932
2023-02-02 23:03:15,426 - mmcls - INFO - Epoch [43][190/235]	lr: 1.481e-02, eta: 0:02:45, time: 0.116, data_time: 0.010, memory: 701, loss: 2.5822, top-1: 66.2891, top-5: 83.0078, loss_main: 0.6019, loss_aux: 0.9252
2023-02-02 23:03:16,743 - mmcls - INFO - Epoch [43][200/235]	lr: 1.467e-02, eta: 0:02:44, time: 0.128, data_time: 0.007, memory: 701, loss: 1.7207, top-1: 82.3828, top-5: 94.3164, loss_main: 0.4866, loss_aux: 0.9543
2023-02-02 23:03:17,782 - mmcls - INFO - Epoch [43][210/235]	lr: 1.452e-02, eta: 0:02:43, time: 0.112, data_time: 0.011, memory: 701, loss: 1.9591, top-1: 78.0664, top-5: 91.1328, loss_main: 0.5236, loss_aux: 1.0407
2023-02-02 23:03:19,074 - mmcls - INFO - Epoch [43][220/235]	lr: 1.438e-02, eta: 0:02:42, time: 0.128, data_time: 0.003, memory: 701, loss: 2.2768, top-1: 72.1875, top-5: 88.2617, loss_main: 0.5107, loss_aux: 1.1027
2023-02-02 23:03:20,168 - mmcls - INFO - Epoch [43][230/235]	lr: 1.424e-02, eta: 0:02:41, time: 0.111, data_time: 0.004, memory: 701, loss: 1.8188, top-1: 76.8750, top-5: 87.2852, loss_main: 0.4098, loss_aux: 0.7581
2023-02-02 23:03:20,551 - mmcls - INFO - Saving checkpoint at 43 epochs
2023-02-02 23:03:23,130 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:03:23,131 - mmcls - INFO - Epoch(val) [43][12]	acc: 80.5333
2023-02-02 23:03:26,326 - mmcls - INFO - Epoch [44][10/235]	lr: 1.403e-02, eta: 0:02:40, time: 0.314, data_time: 0.206, memory: 701, top-1: 76.5234, top-5: 86.6016, loss_main: 0.3891, loss_aux: 0.5657, loss: 1.7006
2023-02-02 23:03:27,707 - mmcls - INFO - Epoch [44][20/235]	lr: 1.389e-02, eta: 0:02:39, time: 0.141, data_time: 0.006, memory: 701, top-1: 88.7500, top-5: 97.4609, loss_main: 0.3436, loss_aux: 0.8373, loss: 1.1853
2023-02-02 23:03:28,806 - mmcls - INFO - Epoch [44][30/235]	lr: 1.375e-02, eta: 0:02:38, time: 0.109, data_time: 0.003, memory: 701, top-1: 63.7109, top-5: 77.3438, loss_main: 0.5445, loss_aux: 0.8102, loss: 2.5947
2023-02-02 23:03:30,270 - mmcls - INFO - Epoch [44][40/235]	lr: 1.362e-02, eta: 0:02:37, time: 0.149, data_time: 0.004, memory: 701, top-1: 64.5898, top-5: 76.3672, loss_main: 0.5269, loss_aux: 0.7511, loss: 2.5114
2023-02-02 23:03:31,775 - mmcls - INFO - Epoch [44][50/235]	lr: 1.348e-02, eta: 0:02:36, time: 0.142, data_time: 0.002, memory: 701, top-1: 72.1875, top-5: 84.9414, loss_main: 0.4921, loss_aux: 0.8695, loss: 2.1879
2023-02-02 23:03:32,974 - mmcls - INFO - Epoch [44][60/235]	lr: 1.334e-02, eta: 0:02:35, time: 0.129, data_time: 0.010, memory: 701, top-1: 63.2422, top-5: 76.7773, loss_main: 0.5690, loss_aux: 0.8305, loss: 2.5816
2023-02-02 23:03:34,339 - mmcls - INFO - Epoch [44][70/235]	lr: 1.321e-02, eta: 0:02:34, time: 0.129, data_time: 0.001, memory: 701, top-1: 55.6055, top-5: 67.9688, loss_main: 0.5760, loss_aux: 0.6911, loss: 3.1003
2023-02-02 23:03:35,388 - mmcls - INFO - Epoch [44][80/235]	lr: 1.307e-02, eta: 0:02:34, time: 0.110, data_time: 0.008, memory: 701, top-1: 83.5547, top-5: 90.7617, loss_main: 0.3998, loss_aux: 0.7465, loss: 1.3931
2023-02-02 23:03:36,384 - mmcls - INFO - Epoch [44][90/235]	lr: 1.294e-02, eta: 0:02:33, time: 0.092, data_time: 0.003, memory: 701, top-1: 81.3867, top-5: 88.5547, loss_main: 0.3891, loss_aux: 0.5308, loss: 1.3955
2023-02-02 23:03:37,576 - mmcls - INFO - Epoch [44][100/235]	lr: 1.281e-02, eta: 0:02:32, time: 0.128, data_time: 0.010, memory: 701, top-1: 75.6445, top-5: 88.2422, loss_main: 0.4275, loss_aux: 0.8494, loss: 1.9548
2023-02-02 23:03:38,405 - mmcls - INFO - Epoch [44][110/235]	lr: 1.268e-02, eta: 0:02:31, time: 0.081, data_time: 0.002, memory: 701, top-1: 79.5898, top-5: 91.3086, loss_main: 0.4346, loss_aux: 0.8346, loss: 1.7500
2023-02-02 23:03:39,262 - mmcls - INFO - Epoch [44][120/235]	lr: 1.254e-02, eta: 0:02:30, time: 0.087, data_time: 0.004, memory: 701, top-1: 65.6445, top-5: 83.1250, loss_main: 0.5073, loss_aux: 1.0422, loss: 2.8392
2023-02-02 23:03:39,776 - mmcls - INFO - Epoch [44][130/235]	lr: 1.241e-02, eta: 0:02:29, time: 0.053, data_time: 0.003, memory: 701, top-1: 67.3633, top-5: 85.0781, loss_main: 0.6341, loss_aux: 1.0674, loss: 2.7084
2023-02-02 23:03:40,436 - mmcls - INFO - Epoch [44][140/235]	lr: 1.228e-02, eta: 0:02:27, time: 0.063, data_time: 0.001, memory: 701, top-1: 63.9844, top-5: 81.1328, loss_main: 0.5463, loss_aux: 0.9833, loss: 2.7365
2023-02-02 23:03:41,576 - mmcls - INFO - Epoch [44][150/235]	lr: 1.216e-02, eta: 0:02:27, time: 0.114, data_time: 0.004, memory: 701, top-1: 56.7773, top-5: 74.3750, loss_main: 0.5866, loss_aux: 1.0746, loss: 3.3410
2023-02-02 23:03:42,093 - mmcls - INFO - Epoch [44][160/235]	lr: 1.203e-02, eta: 0:02:25, time: 0.054, data_time: 0.003, memory: 701, top-1: 56.0156, top-5: 72.9883, loss_main: 0.6180, loss_aux: 0.8439, loss: 3.1248
2023-02-02 23:03:42,413 - mmcls - INFO - Epoch [44][170/235]	lr: 1.190e-02, eta: 0:02:24, time: 0.031, data_time: 0.001, memory: 701, top-1: 61.6602, top-5: 77.1875, loss_main: 0.5549, loss_aux: 0.9951, loss: 2.8724
2023-02-02 23:03:42,993 - mmcls - INFO - Epoch [44][180/235]	lr: 1.177e-02, eta: 0:02:23, time: 0.057, data_time: 0.001, memory: 701, top-1: 80.5859, top-5: 89.2773, loss_main: 0.3562, loss_aux: 0.9154, loss: 1.7359
2023-02-02 23:03:44,296 - mmcls - INFO - Epoch [44][190/235]	lr: 1.165e-02, eta: 0:02:22, time: 0.131, data_time: 0.003, memory: 701, top-1: 86.2500, top-5: 95.9570, loss_main: 0.3202, loss_aux: 1.0374, loss: 1.5322
2023-02-02 23:03:45,208 - mmcls - INFO - Epoch [44][200/235]	lr: 1.152e-02, eta: 0:02:21, time: 0.088, data_time: 0.002, memory: 701, top-1: 74.0625, top-5: 86.0938, loss_main: 0.4160, loss_aux: 0.8825, loss: 2.1417
2023-02-02 23:03:46,665 - mmcls - INFO - Epoch [44][210/235]	lr: 1.140e-02, eta: 0:02:20, time: 0.149, data_time: 0.005, memory: 701, top-1: 68.8086, top-5: 78.2227, loss_main: 0.4071, loss_aux: 0.8688, loss: 2.1126
2023-02-02 23:03:47,623 - mmcls - INFO - Epoch [44][220/235]	lr: 1.128e-02, eta: 0:02:20, time: 0.091, data_time: 0.002, memory: 701, top-1: 69.5703, top-5: 87.0312, loss_main: 0.4939, loss_aux: 0.9385, loss: 2.2749
2023-02-02 23:03:48,966 - mmcls - INFO - Epoch [44][230/235]	lr: 1.116e-02, eta: 0:02:19, time: 0.137, data_time: 0.006, memory: 701, top-1: 71.1719, top-5: 85.6055, loss_main: 0.5711, loss_aux: 0.9922, loss: 2.2738
2023-02-02 23:03:49,323 - mmcls - INFO - Saving checkpoint at 44 epochs
2023-02-02 23:03:51,911 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:03:51,925 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_42.pth was removed
2023-02-02 23:03:52,141 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_44.pth.
2023-02-02 23:03:52,141 - mmcls - INFO - Best acc is 81.1167 at 44 epoch.
2023-02-02 23:03:52,142 - mmcls - INFO - Epoch(val) [44][12]	acc: 81.1167
2023-02-02 23:03:55,336 - mmcls - INFO - Epoch [45][10/235]	lr: 1.097e-02, eta: 0:02:17, time: 0.310, data_time: 0.208, memory: 701, top-1: 48.8086, top-5: 64.4727, loss_main: 0.5416, loss_aux: 0.8609, loss: 3.5961
2023-02-02 23:03:56,313 - mmcls - INFO - Epoch [45][20/235]	lr: 1.085e-02, eta: 0:02:16, time: 0.106, data_time: 0.010, memory: 701, top-1: 69.9805, top-5: 81.4844, loss_main: 0.4953, loss_aux: 0.8317, loss: 2.1965
2023-02-02 23:03:57,345 - mmcls - INFO - Epoch [45][30/235]	lr: 1.074e-02, eta: 0:02:15, time: 0.094, data_time: 0.002, memory: 701, top-1: 75.0391, top-5: 88.1836, loss_main: 0.4855, loss_aux: 0.9769, loss: 2.2220
2023-02-02 23:03:58,668 - mmcls - INFO - Epoch [45][40/235]	lr: 1.062e-02, eta: 0:02:14, time: 0.141, data_time: 0.011, memory: 701, top-1: 79.5117, top-5: 87.6367, loss_main: 0.4396, loss_aux: 0.6197, loss: 1.5073
2023-02-02 23:03:59,839 - mmcls - INFO - Epoch [45][50/235]	lr: 1.050e-02, eta: 0:02:13, time: 0.113, data_time: 0.002, memory: 701, top-1: 84.1016, top-5: 94.9023, loss_main: 0.3253, loss_aux: 0.9156, loss: 1.5807
2023-02-02 23:04:01,249 - mmcls - INFO - Epoch [45][60/235]	lr: 1.038e-02, eta: 0:02:13, time: 0.140, data_time: 0.006, memory: 701, top-1: 75.1953, top-5: 82.5195, loss_main: 0.3972, loss_aux: 0.8429, loss: 1.7790
2023-02-02 23:04:02,315 - mmcls - INFO - Epoch [45][70/235]	lr: 1.027e-02, eta: 0:02:12, time: 0.107, data_time: 0.007, memory: 701, top-1: 56.7969, top-5: 74.3555, loss_main: 0.5025, loss_aux: 0.7363, loss: 2.7992
2023-02-02 23:04:03,861 - mmcls - INFO - Epoch [45][80/235]	lr: 1.015e-02, eta: 0:02:11, time: 0.156, data_time: 0.006, memory: 701, top-1: 62.6562, top-5: 76.1914, loss_main: 0.5944, loss_aux: 0.7831, loss: 2.7544
2023-02-02 23:04:04,667 - mmcls - INFO - Epoch [45][90/235]	lr: 1.004e-02, eta: 0:02:10, time: 0.078, data_time: 0.004, memory: 701, top-1: 79.6875, top-5: 89.9023, loss_main: 0.5420, loss_aux: 0.9446, loss: 1.6225
2023-02-02 23:04:06,093 - mmcls - INFO - Epoch [45][100/235]	lr: 9.924e-03, eta: 0:02:09, time: 0.138, data_time: 0.007, memory: 701, top-1: 96.2891, top-5: 99.7070, loss_main: 0.4719, loss_aux: 1.0471, loss: 0.4513
2023-02-02 23:04:07,026 - mmcls - INFO - Epoch [45][110/235]	lr: 9.812e-03, eta: 0:02:08, time: 0.099, data_time: 0.012, memory: 701, top-1: 67.3828, top-5: 84.8828, loss_main: 0.5475, loss_aux: 1.1868, loss: 2.7690
2023-02-02 23:04:08,924 - mmcls - INFO - Epoch [45][120/235]	lr: 9.700e-03, eta: 0:02:07, time: 0.189, data_time: 0.006, memory: 701, top-1: 83.0859, top-5: 95.3125, loss_main: 0.3252, loss_aux: 1.1357, loss: 1.6984
2023-02-02 23:04:09,916 - mmcls - INFO - Epoch [45][130/235]	lr: 9.589e-03, eta: 0:02:06, time: 0.101, data_time: 0.007, memory: 701, top-1: 82.2070, top-5: 89.0234, loss_main: 0.3815, loss_aux: 0.9027, loss: 1.2781
2023-02-02 23:04:11,283 - mmcls - INFO - Epoch [45][140/235]	lr: 9.479e-03, eta: 0:02:05, time: 0.138, data_time: 0.005, memory: 701, top-1: 69.3945, top-5: 82.2070, loss_main: 0.5791, loss_aux: 0.9142, loss: 2.4366
2023-02-02 23:04:12,184 - mmcls - INFO - Epoch [45][150/235]	lr: 9.370e-03, eta: 0:02:04, time: 0.087, data_time: 0.004, memory: 701, top-1: 69.4531, top-5: 84.5117, loss_main: 0.5593, loss_aux: 0.7975, loss: 2.5158
2023-02-02 23:04:13,606 - mmcls - INFO - Epoch [45][160/235]	lr: 9.261e-03, eta: 0:02:03, time: 0.143, data_time: 0.007, memory: 701, top-1: 84.3555, top-5: 95.8008, loss_main: 0.4380, loss_aux: 1.0287, loss: 1.5481
2023-02-02 23:04:14,598 - mmcls - INFO - Epoch [45][170/235]	lr: 9.154e-03, eta: 0:02:02, time: 0.098, data_time: 0.006, memory: 701, top-1: 69.6289, top-5: 83.5742, loss_main: 0.4961, loss_aux: 0.8942, loss: 2.4630
2023-02-02 23:04:16,209 - mmcls - INFO - Epoch [45][180/235]	lr: 9.047e-03, eta: 0:02:01, time: 0.161, data_time: 0.007, memory: 701, top-1: 64.8438, top-5: 81.6211, loss_main: 0.5039, loss_aux: 0.9636, loss: 2.8073
2023-02-02 23:04:17,104 - mmcls - INFO - Epoch [45][190/235]	lr: 8.941e-03, eta: 0:02:00, time: 0.092, data_time: 0.007, memory: 701, top-1: 72.6367, top-5: 83.2812, loss_main: 0.3629, loss_aux: 0.7698, loss: 2.0720
2023-02-02 23:04:18,491 - mmcls - INFO - Epoch [45][200/235]	lr: 8.836e-03, eta: 0:01:59, time: 0.137, data_time: 0.004, memory: 701, top-1: 77.8320, top-5: 89.3359, loss_main: 0.4262, loss_aux: 0.8171, loss: 1.7715
2023-02-02 23:04:19,333 - mmcls - INFO - Epoch [45][210/235]	lr: 8.732e-03, eta: 0:01:58, time: 0.086, data_time: 0.006, memory: 701, top-1: 72.2852, top-5: 90.4492, loss_main: 0.5695, loss_aux: 1.2662, loss: 2.4879
2023-02-02 23:04:20,943 - mmcls - INFO - Epoch [45][220/235]	lr: 8.629e-03, eta: 0:01:57, time: 0.158, data_time: 0.004, memory: 701, top-1: 75.6641, top-5: 82.0898, loss_main: 0.3785, loss_aux: 0.7353, loss: 1.8264
2023-02-02 23:04:21,811 - mmcls - INFO - Epoch [45][230/235]	lr: 8.526e-03, eta: 0:01:56, time: 0.091, data_time: 0.007, memory: 701, top-1: 51.0547, top-5: 68.3398, loss_main: 0.5288, loss_aux: 0.7837, loss: 3.3526
2023-02-02 23:04:22,137 - mmcls - INFO - Saving checkpoint at 45 epochs
2023-02-02 23:04:24,639 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:04:24,651 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_44.pth was removed
2023-02-02 23:04:24,885 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_45.pth.
2023-02-02 23:04:24,885 - mmcls - INFO - Best acc is 81.3000 at 45 epoch.
2023-02-02 23:04:24,885 - mmcls - INFO - Epoch(val) [45][12]	acc: 81.3000
2023-02-02 23:04:27,549 - mmcls - INFO - Epoch [46][10/235]	lr: 8.374e-03, eta: 0:01:55, time: 0.264, data_time: 0.205, memory: 701, top-1: 76.7969, top-5: 86.6992, loss_main: 0.2967, loss_aux: 0.7898, loss: 1.7849
2023-02-02 23:04:28,192 - mmcls - INFO - Epoch [46][20/235]	lr: 8.274e-03, eta: 0:01:54, time: 0.065, data_time: 0.002, memory: 701, top-1: 62.2656, top-5: 80.0586, loss_main: 0.5395, loss_aux: 0.8789, loss: 2.8648
2023-02-02 23:04:28,926 - mmcls - INFO - Epoch [46][30/235]	lr: 8.174e-03, eta: 0:01:53, time: 0.074, data_time: 0.002, memory: 701, top-1: 80.2539, top-5: 94.1992, loss_main: 0.4711, loss_aux: 1.1954, loss: 2.0703
2023-02-02 23:04:29,695 - mmcls - INFO - Epoch [46][40/235]	lr: 8.075e-03, eta: 0:01:52, time: 0.076, data_time: 0.001, memory: 701, top-1: 87.9297, top-5: 97.3633, loss_main: 0.3227, loss_aux: 1.0057, loss: 1.3436
2023-02-02 23:04:30,434 - mmcls - INFO - Epoch [46][50/235]	lr: 7.977e-03, eta: 0:01:51, time: 0.072, data_time: 0.002, memory: 701, top-1: 71.1523, top-5: 81.6016, loss_main: 0.4376, loss_aux: 0.6408, loss: 2.1127
2023-02-02 23:04:31,117 - mmcls - INFO - Epoch [46][60/235]	lr: 7.880e-03, eta: 0:01:50, time: 0.071, data_time: 0.004, memory: 701, top-1: 74.1602, top-5: 87.0703, loss_main: 0.5396, loss_aux: 0.8595, loss: 2.1571
2023-02-02 23:04:31,942 - mmcls - INFO - Epoch [46][70/235]	lr: 7.784e-03, eta: 0:01:49, time: 0.080, data_time: 0.001, memory: 701, top-1: 62.1680, top-5: 78.8477, loss_main: 0.6072, loss_aux: 0.9816, loss: 2.8721
2023-02-02 23:04:32,671 - mmcls - INFO - Epoch [46][80/235]	lr: 7.689e-03, eta: 0:01:48, time: 0.075, data_time: 0.004, memory: 701, top-1: 55.4297, top-5: 70.7031, loss_main: 0.7459, loss_aux: 0.8823, loss: 3.1355
2023-02-02 23:04:33,554 - mmcls - INFO - Epoch [46][90/235]	lr: 7.594e-03, eta: 0:01:47, time: 0.087, data_time: 0.002, memory: 701, top-1: 76.5430, top-5: 87.4414, loss_main: 0.3503, loss_aux: 0.9863, loss: 2.0076
2023-02-02 23:04:34,272 - mmcls - INFO - Epoch [46][100/235]	lr: 7.501e-03, eta: 0:01:46, time: 0.069, data_time: 0.004, memory: 701, top-1: 63.0469, top-5: 74.8633, loss_main: 0.4514, loss_aux: 0.6156, loss: 2.5722
2023-02-02 23:04:34,923 - mmcls - INFO - Epoch [46][110/235]	lr: 7.408e-03, eta: 0:01:45, time: 0.068, data_time: 0.006, memory: 701, top-1: 73.6914, top-5: 83.4961, loss_main: 0.3986, loss_aux: 0.5919, loss: 1.9643
2023-02-02 23:04:35,684 - mmcls - INFO - Epoch [46][120/235]	lr: 7.316e-03, eta: 0:01:44, time: 0.077, data_time: 0.004, memory: 701, top-1: 62.3828, top-5: 80.0977, loss_main: 0.6909, loss_aux: 0.8698, loss: 2.8358
2023-02-02 23:04:36,437 - mmcls - INFO - Epoch [46][130/235]	lr: 7.225e-03, eta: 0:01:43, time: 0.074, data_time: 0.003, memory: 701, top-1: 70.8008, top-5: 85.0000, loss_main: 0.5675, loss_aux: 0.7071, loss: 2.1989
2023-02-02 23:04:37,130 - mmcls - INFO - Epoch [46][140/235]	lr: 7.135e-03, eta: 0:01:42, time: 0.071, data_time: 0.004, memory: 701, top-1: 54.1992, top-5: 68.3398, loss_main: 0.5906, loss_aux: 0.7684, loss: 3.0945
2023-02-02 23:04:37,836 - mmcls - INFO - Epoch [46][150/235]	lr: 7.046e-03, eta: 0:01:41, time: 0.070, data_time: 0.003, memory: 701, top-1: 77.2461, top-5: 90.7031, loss_main: 0.5408, loss_aux: 0.9068, loss: 1.9531
2023-02-02 23:04:38,644 - mmcls - INFO - Epoch [46][160/235]	lr: 6.957e-03, eta: 0:01:40, time: 0.083, data_time: 0.004, memory: 701, top-1: 71.4062, top-5: 81.0742, loss_main: 0.4101, loss_aux: 0.9492, loss: 2.2221
2023-02-02 23:04:39,400 - mmcls - INFO - Epoch [46][170/235]	lr: 6.869e-03, eta: 0:01:39, time: 0.072, data_time: 0.002, memory: 701, top-1: 59.7070, top-5: 70.6641, loss_main: 0.4682, loss_aux: 0.7115, loss: 2.7622
2023-02-02 23:04:40,116 - mmcls - INFO - Epoch [46][180/235]	lr: 6.783e-03, eta: 0:01:38, time: 0.074, data_time: 0.006, memory: 701, top-1: 75.6250, top-5: 90.7812, loss_main: 0.5203, loss_aux: 0.9589, loss: 2.2111
2023-02-02 23:04:40,749 - mmcls - INFO - Epoch [46][190/235]	lr: 6.697e-03, eta: 0:01:37, time: 0.064, data_time: 0.004, memory: 701, top-1: 69.5703, top-5: 76.9531, loss_main: 0.5614, loss_aux: 0.7017, loss: 1.9380
2023-02-02 23:04:41,452 - mmcls - INFO - Epoch [46][200/235]	lr: 6.612e-03, eta: 0:01:36, time: 0.070, data_time: 0.003, memory: 701, top-1: 79.0039, top-5: 87.7539, loss_main: 0.3887, loss_aux: 0.7756, loss: 1.7568
2023-02-02 23:04:42,218 - mmcls - INFO - Epoch [46][210/235]	lr: 6.527e-03, eta: 0:01:35, time: 0.077, data_time: 0.004, memory: 701, top-1: 77.4219, top-5: 89.8633, loss_main: 0.5313, loss_aux: 0.9300, loss: 1.8878
2023-02-02 23:04:42,961 - mmcls - INFO - Epoch [46][220/235]	lr: 6.444e-03, eta: 0:01:34, time: 0.075, data_time: 0.003, memory: 701, top-1: 76.2500, top-5: 87.0703, loss_main: 0.5170, loss_aux: 1.0201, loss: 2.0396
2023-02-02 23:04:43,652 - mmcls - INFO - Epoch [46][230/235]	lr: 6.362e-03, eta: 0:01:33, time: 0.068, data_time: 0.002, memory: 701, top-1: 53.1836, top-5: 64.9219, loss_main: 0.4138, loss_aux: 0.7046, loss: 3.1301
2023-02-02 23:04:44,012 - mmcls - INFO - Saving checkpoint at 46 epochs
2023-02-02 23:04:46,522 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:04:46,534 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_45.pth was removed
2023-02-02 23:04:46,769 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_46.pth.
2023-02-02 23:04:46,769 - mmcls - INFO - Best acc is 82.1000 at 46 epoch.
2023-02-02 23:04:46,769 - mmcls - INFO - Epoch(val) [46][12]	acc: 82.1000
2023-02-02 23:04:49,045 - mmcls - INFO - Epoch [47][10/235]	lr: 6.239e-03, eta: 0:01:31, time: 0.227, data_time: 0.205, memory: 701, top-1: 80.0000, top-5: 92.6953, loss_main: 0.3868, loss_aux: 0.7217, loss: 1.7921
2023-02-02 23:04:49,262 - mmcls - INFO - Epoch [47][20/235]	lr: 6.159e-03, eta: 0:01:30, time: 0.022, data_time: 0.001, memory: 701, top-1: 81.9141, top-5: 95.1172, loss_main: 0.4311, loss_aux: 1.1008, loss: 1.9080
2023-02-02 23:04:49,489 - mmcls - INFO - Epoch [47][30/235]	lr: 6.080e-03, eta: 0:01:29, time: 0.022, data_time: 0.001, memory: 701, top-1: 58.3594, top-5: 73.5547, loss_main: 0.4165, loss_aux: 0.9030, loss: 2.8366
2023-02-02 23:04:49,706 - mmcls - INFO - Epoch [47][40/235]	lr: 6.001e-03, eta: 0:01:28, time: 0.022, data_time: 0.001, memory: 701, top-1: 73.4180, top-5: 84.1016, loss_main: 0.4653, loss_aux: 0.7157, loss: 2.0043
2023-02-02 23:04:50,135 - mmcls - INFO - Epoch [47][50/235]	lr: 5.923e-03, eta: 0:01:27, time: 0.043, data_time: 0.001, memory: 701, top-1: 66.5430, top-5: 76.1133, loss_main: 0.3877, loss_aux: 0.6270, loss: 2.3155
2023-02-02 23:04:50,602 - mmcls - INFO - Epoch [47][60/235]	lr: 5.846e-03, eta: 0:01:26, time: 0.047, data_time: 0.001, memory: 701, top-1: 86.5430, top-5: 90.8789, loss_main: 0.3542, loss_aux: 0.4799, loss: 0.9339
2023-02-02 23:04:50,816 - mmcls - INFO - Epoch [47][70/235]	lr: 5.770e-03, eta: 0:01:25, time: 0.021, data_time: 0.000, memory: 701, top-1: 68.4766, top-5: 77.6172, loss_main: 0.3238, loss_aux: 0.6336, loss: 2.2522
2023-02-02 23:04:51,014 - mmcls - INFO - Epoch [47][80/235]	lr: 5.695e-03, eta: 0:01:24, time: 0.020, data_time: 0.001, memory: 701, top-1: 61.4258, top-5: 75.7812, loss_main: 0.5772, loss_aux: 0.9058, loss: 2.7541
2023-02-02 23:04:51,216 - mmcls - INFO - Epoch [47][90/235]	lr: 5.621e-03, eta: 0:01:23, time: 0.020, data_time: 0.000, memory: 701, top-1: 77.1875, top-5: 91.2109, loss_main: 0.4564, loss_aux: 1.1443, loss: 2.1829
2023-02-02 23:04:51,423 - mmcls - INFO - Epoch [47][100/235]	lr: 5.547e-03, eta: 0:01:22, time: 0.021, data_time: 0.000, memory: 701, top-1: 81.2695, top-5: 88.4180, loss_main: 0.2743, loss_aux: 0.6687, loss: 1.5238
2023-02-02 23:04:51,625 - mmcls - INFO - Epoch [47][110/235]	lr: 5.475e-03, eta: 0:01:21, time: 0.020, data_time: 0.000, memory: 701, top-1: 54.5312, top-5: 68.3789, loss_main: 0.5775, loss_aux: 0.7320, loss: 3.1951
2023-02-02 23:04:51,822 - mmcls - INFO - Epoch [47][120/235]	lr: 5.403e-03, eta: 0:01:20, time: 0.020, data_time: 0.000, memory: 701, top-1: 67.4609, top-5: 77.0312, loss_main: 0.4395, loss_aux: 0.5613, loss: 2.2299
2023-02-02 23:04:52,018 - mmcls - INFO - Epoch [47][130/235]	lr: 5.332e-03, eta: 0:01:19, time: 0.020, data_time: 0.000, memory: 701, top-1: 81.6016, top-5: 91.2891, loss_main: 0.3938, loss_aux: 0.7475, loss: 1.5489
2023-02-02 23:04:52,210 - mmcls - INFO - Epoch [47][140/235]	lr: 5.262e-03, eta: 0:01:18, time: 0.019, data_time: 0.001, memory: 701, top-1: 82.4023, top-5: 94.3555, loss_main: 0.3306, loss_aux: 0.8825, loss: 1.6927
2023-02-02 23:04:52,407 - mmcls - INFO - Epoch [47][150/235]	lr: 5.193e-03, eta: 0:01:17, time: 0.020, data_time: 0.000, memory: 701, top-1: 87.4609, top-5: 96.5234, loss_main: 0.4730, loss_aux: 1.2522, loss: 1.1849
2023-02-02 23:04:52,642 - mmcls - INFO - Epoch [47][160/235]	lr: 5.124e-03, eta: 0:01:16, time: 0.023, data_time: 0.000, memory: 701, top-1: 75.3906, top-5: 83.3984, loss_main: 0.3731, loss_aux: 1.0349, loss: 1.6834
2023-02-02 23:04:53,330 - mmcls - INFO - Epoch [47][170/235]	lr: 5.057e-03, eta: 0:01:15, time: 0.064, data_time: 0.001, memory: 701, top-1: 92.5781, top-5: 98.2422, loss_main: 0.2889, loss_aux: 0.8102, loss: 0.7107
2023-02-02 23:04:54,154 - mmcls - INFO - Epoch [47][180/235]	lr: 4.991e-03, eta: 0:01:14, time: 0.086, data_time: 0.006, memory: 701, top-1: 69.7266, top-5: 79.9609, loss_main: 0.4038, loss_aux: 0.6553, loss: 2.1839
2023-02-02 23:04:54,798 - mmcls - INFO - Epoch [47][190/235]	lr: 4.925e-03, eta: 0:01:13, time: 0.065, data_time: 0.002, memory: 701, top-1: 91.7578, top-5: 97.6367, loss_main: 0.4443, loss_aux: 0.6520, loss: 0.7956
2023-02-02 23:04:55,457 - mmcls - INFO - Epoch [47][200/235]	lr: 4.860e-03, eta: 0:01:12, time: 0.061, data_time: 0.002, memory: 701, top-1: 51.7188, top-5: 65.3320, loss_main: 0.5493, loss_aux: 0.7065, loss: 3.0494
2023-02-02 23:04:56,118 - mmcls - INFO - Epoch [47][210/235]	lr: 4.796e-03, eta: 0:01:11, time: 0.070, data_time: 0.007, memory: 701, top-1: 61.2305, top-5: 76.1133, loss_main: 0.6191, loss_aux: 0.6984, loss: 2.5790
2023-02-02 23:04:56,770 - mmcls - INFO - Epoch [47][220/235]	lr: 4.733e-03, eta: 0:01:10, time: 0.064, data_time: 0.002, memory: 701, top-1: 84.7461, top-5: 94.1016, loss_main: 0.4160, loss_aux: 0.8723, loss: 1.5527
2023-02-02 23:04:57,322 - mmcls - INFO - Epoch [47][230/235]	lr: 4.671e-03, eta: 0:01:09, time: 0.056, data_time: 0.003, memory: 701, top-1: 70.1953, top-5: 83.0664, loss_main: 0.5009, loss_aux: 0.8931, loss: 2.2856
2023-02-02 23:04:57,548 - mmcls - INFO - Saving checkpoint at 47 epochs
2023-02-02 23:05:00,049 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:05:00,050 - mmcls - INFO - Epoch(val) [47][12]	acc: 81.9833
2023-02-02 23:05:02,961 - mmcls - INFO - Epoch [48][10/235]	lr: 4.579e-03, eta: 0:01:07, time: 0.288, data_time: 0.206, memory: 701, top-1: 91.3867, top-5: 98.1445, loss_main: 0.1880, loss_aux: 0.7637, loss: 1.1342
2023-02-02 23:05:03,789 - mmcls - INFO - Epoch [48][20/235]	lr: 4.519e-03, eta: 0:01:06, time: 0.082, data_time: 0.003, memory: 701, top-1: 64.3945, top-5: 80.3516, loss_main: 0.5089, loss_aux: 0.6932, loss: 2.5983
2023-02-02 23:05:04,539 - mmcls - INFO - Epoch [48][30/235]	lr: 4.460e-03, eta: 0:01:05, time: 0.076, data_time: 0.004, memory: 701, top-1: 81.7578, top-5: 90.6445, loss_main: 0.3791, loss_aux: 0.8470, loss: 1.7069
2023-02-02 23:05:05,264 - mmcls - INFO - Epoch [48][40/235]	lr: 4.402e-03, eta: 0:01:04, time: 0.073, data_time: 0.003, memory: 701, top-1: 48.9844, top-5: 61.6016, loss_main: 0.3868, loss_aux: 0.7158, loss: 3.3712
2023-02-02 23:05:05,963 - mmcls - INFO - Epoch [48][50/235]	lr: 4.344e-03, eta: 0:01:03, time: 0.071, data_time: 0.002, memory: 701, top-1: 91.5234, top-5: 98.5547, loss_main: 0.2485, loss_aux: 0.9003, loss: 1.1824
2023-02-02 23:05:06,699 - mmcls - INFO - Epoch [48][60/235]	lr: 4.288e-03, eta: 0:01:02, time: 0.073, data_time: 0.001, memory: 701, top-1: 57.9492, top-5: 70.4297, loss_main: 0.4761, loss_aux: 0.8206, loss: 2.8202
2023-02-02 23:05:07,243 - mmcls - INFO - Epoch [48][70/235]	lr: 4.232e-03, eta: 0:01:01, time: 0.053, data_time: 0.002, memory: 701, top-1: 76.2695, top-5: 85.6445, loss_main: 0.5374, loss_aux: 0.7993, loss: 1.8498
2023-02-02 23:05:07,986 - mmcls - INFO - Epoch [48][80/235]	lr: 4.177e-03, eta: 0:01:00, time: 0.076, data_time: 0.003, memory: 701, top-1: 74.0234, top-5: 90.1953, loss_main: 0.5833, loss_aux: 1.2008, loss: 2.3619
2023-02-02 23:05:08,738 - mmcls - INFO - Epoch [48][90/235]	lr: 4.124e-03, eta: 0:00:59, time: 0.072, data_time: 0.001, memory: 701, top-1: 61.4844, top-5: 75.5859, loss_main: 0.6231, loss_aux: 0.7781, loss: 2.7792
2023-02-02 23:05:09,491 - mmcls - INFO - Epoch [48][100/235]	lr: 4.071e-03, eta: 0:00:58, time: 0.076, data_time: 0.004, memory: 701, top-1: 65.9766, top-5: 84.3164, loss_main: 0.5256, loss_aux: 0.9291, loss: 2.5185
2023-02-02 23:05:10,180 - mmcls - INFO - Epoch [48][110/235]	lr: 4.018e-03, eta: 0:00:57, time: 0.069, data_time: 0.003, memory: 701, top-1: 49.3555, top-5: 63.3594, loss_main: 0.4928, loss_aux: 0.6638, loss: 3.3877
2023-02-02 23:05:11,041 - mmcls - INFO - Epoch [48][120/235]	lr: 3.967e-03, eta: 0:00:56, time: 0.086, data_time: 0.004, memory: 701, top-1: 76.1133, top-5: 81.3867, loss_main: 0.2810, loss_aux: 0.5742, loss: 1.7590
2023-02-02 23:05:11,716 - mmcls - INFO - Epoch [48][130/235]	lr: 3.917e-03, eta: 0:00:55, time: 0.068, data_time: 0.004, memory: 701, top-1: 70.3711, top-5: 82.3047, loss_main: 0.3786, loss_aux: 0.7260, loss: 2.2256
2023-02-02 23:05:12,325 - mmcls - INFO - Epoch [48][140/235]	lr: 3.867e-03, eta: 0:00:54, time: 0.062, data_time: 0.004, memory: 701, top-1: 70.7617, top-5: 79.5703, loss_main: 0.4553, loss_aux: 0.9257, loss: 2.1230
2023-02-02 23:05:12,966 - mmcls - INFO - Epoch [48][150/235]	lr: 3.819e-03, eta: 0:00:53, time: 0.064, data_time: 0.002, memory: 701, top-1: 86.2891, top-5: 96.5430, loss_main: 0.3662, loss_aux: 1.0659, loss: 1.6002
2023-02-02 23:05:13,748 - mmcls - INFO - Epoch [48][160/235]	lr: 3.771e-03, eta: 0:00:52, time: 0.075, data_time: 0.002, memory: 701, top-1: 81.6992, top-5: 91.9141, loss_main: 0.3975, loss_aux: 0.7002, loss: 1.5964
2023-02-02 23:05:14,381 - mmcls - INFO - Epoch [48][170/235]	lr: 3.724e-03, eta: 0:00:51, time: 0.067, data_time: 0.005, memory: 701, top-1: 60.4688, top-5: 76.6992, loss_main: 0.5711, loss_aux: 0.8448, loss: 2.8108
2023-02-02 23:05:14,988 - mmcls - INFO - Epoch [48][180/235]	lr: 3.678e-03, eta: 0:00:50, time: 0.054, data_time: 0.001, memory: 701, top-1: 75.5664, top-5: 85.8008, loss_main: 0.4048, loss_aux: 0.7851, loss: 2.0215
2023-02-02 23:05:15,670 - mmcls - INFO - Epoch [48][190/235]	lr: 3.633e-03, eta: 0:00:49, time: 0.070, data_time: 0.007, memory: 701, top-1: 70.0586, top-5: 80.8398, loss_main: 0.4178, loss_aux: 0.6853, loss: 2.1039
2023-02-02 23:05:16,422 - mmcls - INFO - Epoch [48][200/235]	lr: 3.588e-03, eta: 0:00:48, time: 0.077, data_time: 0.005, memory: 701, top-1: 76.9141, top-5: 81.3086, loss_main: 0.3072, loss_aux: 0.6487, loss: 1.5600
2023-02-02 23:05:17,004 - mmcls - INFO - Epoch [48][210/235]	lr: 3.545e-03, eta: 0:00:48, time: 0.059, data_time: 0.004, memory: 701, top-1: 74.5312, top-5: 86.7383, loss_main: 0.4109, loss_aux: 0.8781, loss: 2.0702
2023-02-02 23:05:17,759 - mmcls - INFO - Epoch [48][220/235]	lr: 3.503e-03, eta: 0:00:47, time: 0.075, data_time: 0.003, memory: 701, top-1: 53.9453, top-5: 74.5898, loss_main: 0.6045, loss_aux: 0.8496, loss: 3.2379
2023-02-02 23:05:18,341 - mmcls - INFO - Epoch [48][230/235]	lr: 3.461e-03, eta: 0:00:46, time: 0.059, data_time: 0.003, memory: 701, top-1: 74.9414, top-5: 85.3711, loss_main: 0.3646, loss_aux: 0.7793, loss: 2.0369
2023-02-02 23:05:18,729 - mmcls - INFO - Saving checkpoint at 48 epochs
2023-02-02 23:05:21,237 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:05:21,238 - mmcls - INFO - Epoch(val) [48][12]	acc: 82.0833
2023-02-02 23:05:24,059 - mmcls - INFO - Epoch [49][10/235]	lr: 3.400e-03, eta: 0:00:44, time: 0.280, data_time: 0.206, memory: 701, loss: 2.1859, top-1: 72.7539, top-5: 88.0664, loss_main: 0.7008, loss_aux: 1.0122
2023-02-02 23:05:24,935 - mmcls - INFO - Epoch [49][20/235]	lr: 3.361e-03, eta: 0:00:43, time: 0.087, data_time: 0.002, memory: 701, loss: 3.0376, top-1: 59.9805, top-5: 80.4297, loss_main: 0.7065, loss_aux: 1.0210
2023-02-02 23:05:25,635 - mmcls - INFO - Epoch [49][30/235]	lr: 3.322e-03, eta: 0:00:42, time: 0.070, data_time: 0.003, memory: 701, loss: 3.0619, top-1: 51.2109, top-5: 59.8828, loss_main: 0.3138, loss_aux: 0.4778
2023-02-02 23:05:26,403 - mmcls - INFO - Epoch [49][40/235]	lr: 3.284e-03, eta: 0:00:41, time: 0.077, data_time: 0.004, memory: 701, loss: 3.0320, top-1: 51.6406, top-5: 63.9258, loss_main: 0.5107, loss_aux: 0.6431
2023-02-02 23:05:26,916 - mmcls - INFO - Epoch [49][50/235]	lr: 3.248e-03, eta: 0:00:40, time: 0.051, data_time: 0.004, memory: 701, loss: 1.4737, top-1: 82.8711, top-5: 93.1641, loss_main: 0.5561, loss_aux: 0.9611
2023-02-02 23:05:27,567 - mmcls - INFO - Epoch [49][60/235]	lr: 3.212e-03, eta: 0:00:39, time: 0.066, data_time: 0.004, memory: 701, loss: 2.1698, top-1: 67.5977, top-5: 80.6055, loss_main: 0.6599, loss_aux: 1.0587
2023-02-02 23:05:28,325 - mmcls - INFO - Epoch [49][70/235]	lr: 3.177e-03, eta: 0:00:38, time: 0.070, data_time: 0.003, memory: 701, loss: 2.5479, top-1: 65.4297, top-5: 84.3750, loss_main: 0.7243, loss_aux: 1.0248
2023-02-02 23:05:28,988 - mmcls - INFO - Epoch [49][80/235]	lr: 3.143e-03, eta: 0:00:37, time: 0.071, data_time: 0.009, memory: 701, loss: 2.1800, top-1: 69.2188, top-5: 79.5312, loss_main: 0.6316, loss_aux: 0.8102
2023-02-02 23:05:29,696 - mmcls - INFO - Epoch [49][90/235]	lr: 3.109e-03, eta: 0:00:36, time: 0.070, data_time: 0.004, memory: 701, loss: 2.1641, top-1: 70.8203, top-5: 81.1719, loss_main: 0.4089, loss_aux: 0.6411
2023-02-02 23:05:30,392 - mmcls - INFO - Epoch [49][100/235]	lr: 3.077e-03, eta: 0:00:35, time: 0.070, data_time: 0.004, memory: 701, loss: 1.6845, top-1: 85.8594, top-5: 96.8164, loss_main: 0.2630, loss_aux: 1.0595
2023-02-02 23:05:31,090 - mmcls - INFO - Epoch [49][110/235]	lr: 3.045e-03, eta: 0:00:34, time: 0.069, data_time: 0.003, memory: 701, loss: 2.0215, top-1: 74.3164, top-5: 85.7617, loss_main: 0.4721, loss_aux: 0.8957
2023-02-02 23:05:31,829 - mmcls - INFO - Epoch [49][120/235]	lr: 3.015e-03, eta: 0:00:33, time: 0.074, data_time: 0.004, memory: 701, loss: 1.1398, top-1: 90.5859, top-5: 97.2266, loss_main: 0.4098, loss_aux: 0.8216
2023-02-02 23:05:32,538 - mmcls - INFO - Epoch [49][130/235]	lr: 2.985e-03, eta: 0:00:32, time: 0.071, data_time: 0.003, memory: 701, loss: 2.1973, top-1: 73.6133, top-5: 86.4062, loss_main: 0.3899, loss_aux: 0.8236
2023-02-02 23:05:33,228 - mmcls - INFO - Epoch [49][140/235]	lr: 2.956e-03, eta: 0:00:31, time: 0.069, data_time: 0.004, memory: 701, loss: 2.5572, top-1: 68.6133, top-5: 85.4297, loss_main: 0.5751, loss_aux: 0.9718
2023-02-02 23:05:33,879 - mmcls - INFO - Epoch [49][150/235]	lr: 2.928e-03, eta: 0:00:30, time: 0.065, data_time: 0.004, memory: 701, loss: 1.8807, top-1: 79.9805, top-5: 91.0742, loss_main: 0.4880, loss_aux: 1.0914
2023-02-02 23:05:34,560 - mmcls - INFO - Epoch [49][160/235]	lr: 2.901e-03, eta: 0:00:29, time: 0.070, data_time: 0.003, memory: 701, loss: 2.0045, top-1: 73.2227, top-5: 81.1133, loss_main: 0.2771, loss_aux: 0.6744
2023-02-02 23:05:35,314 - mmcls - INFO - Epoch [49][170/235]	lr: 2.875e-03, eta: 0:00:29, time: 0.074, data_time: 0.001, memory: 701, loss: 3.3040, top-1: 49.6680, top-5: 65.3516, loss_main: 0.3812, loss_aux: 0.7915
2023-02-02 23:05:35,986 - mmcls - INFO - Epoch [49][180/235]	lr: 2.850e-03, eta: 0:00:28, time: 0.067, data_time: 0.003, memory: 701, loss: 2.7784, top-1: 66.7383, top-5: 82.6953, loss_main: 0.5307, loss_aux: 0.9495
2023-02-02 23:05:36,668 - mmcls - INFO - Epoch [49][190/235]	lr: 2.825e-03, eta: 0:00:27, time: 0.068, data_time: 0.002, memory: 701, loss: 1.9639, top-1: 77.2070, top-5: 88.8867, loss_main: 0.3914, loss_aux: 0.8078
2023-02-02 23:05:37,371 - mmcls - INFO - Epoch [49][200/235]	lr: 2.802e-03, eta: 0:00:26, time: 0.070, data_time: 0.002, memory: 701, loss: 2.6687, top-1: 59.8828, top-5: 69.6094, loss_main: 0.3905, loss_aux: 0.6577
2023-02-02 23:05:38,120 - mmcls - INFO - Epoch [49][210/235]	lr: 2.779e-03, eta: 0:00:25, time: 0.074, data_time: 0.003, memory: 701, loss: 2.0456, top-1: 72.6172, top-5: 85.2148, loss_main: 0.4905, loss_aux: 0.8346
2023-02-02 23:05:38,831 - mmcls - INFO - Epoch [49][220/235]	lr: 2.757e-03, eta: 0:00:24, time: 0.073, data_time: 0.004, memory: 701, loss: 2.4781, top-1: 65.7227, top-5: 78.1055, loss_main: 0.4173, loss_aux: 0.8323
2023-02-02 23:05:39,553 - mmcls - INFO - Epoch [49][230/235]	lr: 2.736e-03, eta: 0:00:23, time: 0.072, data_time: 0.001, memory: 701, loss: 1.3624, top-1: 82.6367, top-5: 89.4922, loss_main: 0.3884, loss_aux: 0.7563
2023-02-02 23:05:39,824 - mmcls - INFO - Saving checkpoint at 49 epochs
2023-02-02 23:05:42,245 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:05:42,258 - mmcls - INFO - The previous best checkpoint /opt/logger/cifar_etf/best_acc_epoch_46.pth was removed
2023-02-02 23:05:42,479 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_49.pth.
2023-02-02 23:05:42,480 - mmcls - INFO - Best acc is 82.5167 at 49 epoch.
2023-02-02 23:05:42,480 - mmcls - INFO - Epoch(val) [49][12]	acc: 82.5167
2023-02-02 23:05:44,745 - mmcls - INFO - Epoch [50][10/235]	lr: 2.707e-03, eta: 0:00:21, time: 0.226, data_time: 0.205, memory: 701, top-1: 43.3789, top-5: 62.6172, loss_main: 0.7540, loss_aux: 0.6064, loss: 3.5988
2023-02-02 23:05:44,951 - mmcls - INFO - Epoch [50][20/235]	lr: 2.688e-03, eta: 0:00:20, time: 0.021, data_time: 0.000, memory: 701, top-1: 79.0039, top-5: 87.9883, loss_main: 0.5874, loss_aux: 0.7489, loss: 1.5794
2023-02-02 23:05:45,170 - mmcls - INFO - Epoch [50][30/235]	lr: 2.670e-03, eta: 0:00:19, time: 0.021, data_time: 0.000, memory: 701, top-1: 77.5586, top-5: 91.6992, loss_main: 0.5610, loss_aux: 1.0038, loss: 1.9398
2023-02-02 23:05:45,390 - mmcls - INFO - Epoch [50][40/235]	lr: 2.653e-03, eta: 0:00:18, time: 0.023, data_time: 0.001, memory: 701, top-1: 74.8828, top-5: 92.1094, loss_main: 0.5332, loss_aux: 1.1954, loss: 2.3392
2023-02-02 23:05:45,597 - mmcls - INFO - Epoch [50][50/235]	lr: 2.637e-03, eta: 0:00:17, time: 0.021, data_time: 0.000, memory: 701, top-1: 57.4219, top-5: 71.4648, loss_main: 0.5002, loss_aux: 0.9138, loss: 3.0157
2023-02-02 23:05:45,797 - mmcls - INFO - Epoch [50][60/235]	lr: 2.622e-03, eta: 0:00:16, time: 0.020, data_time: 0.000, memory: 701, top-1: 67.4023, top-5: 82.1680, loss_main: 0.6090, loss_aux: 0.8677, loss: 2.5157
2023-02-02 23:05:46,011 - mmcls - INFO - Epoch [50][70/235]	lr: 2.608e-03, eta: 0:00:15, time: 0.021, data_time: 0.000, memory: 701, top-1: 85.0000, top-5: 92.4023, loss_main: 0.5047, loss_aux: 0.6678, loss: 1.2667
2023-02-02 23:05:46,246 - mmcls - INFO - Epoch [50][80/235]	lr: 2.594e-03, eta: 0:00:14, time: 0.024, data_time: 0.001, memory: 701, top-1: 71.1719, top-5: 86.1719, loss_main: 0.4487, loss_aux: 0.9282, loss: 2.3798
2023-02-02 23:05:46,904 - mmcls - INFO - Epoch [50][90/235]	lr: 2.582e-03, eta: 0:00:13, time: 0.065, data_time: 0.001, memory: 701, top-1: 85.9570, top-5: 92.9102, loss_main: 0.4189, loss_aux: 0.7783, loss: 1.3835
2023-02-02 23:05:47,620 - mmcls - INFO - Epoch [50][100/235]	lr: 2.570e-03, eta: 0:00:12, time: 0.070, data_time: 0.002, memory: 701, top-1: 93.8086, top-5: 98.5352, loss_main: 0.1620, loss_aux: 0.6602, loss: 0.8884
2023-02-02 23:05:48,362 - mmcls - INFO - Epoch [50][110/235]	lr: 2.560e-03, eta: 0:00:12, time: 0.075, data_time: 0.003, memory: 701, top-1: 60.7031, top-5: 77.2656, loss_main: 0.6637, loss_aux: 0.9602, loss: 2.8029
2023-02-02 23:05:49,054 - mmcls - INFO - Epoch [50][120/235]	lr: 2.550e-03, eta: 0:00:11, time: 0.068, data_time: 0.002, memory: 701, top-1: 83.9062, top-5: 93.8086, loss_main: 0.5891, loss_aux: 0.9657, loss: 1.4770
2023-02-02 23:05:49,729 - mmcls - INFO - Epoch [50][130/235]	lr: 2.541e-03, eta: 0:00:10, time: 0.069, data_time: 0.003, memory: 701, top-1: 63.1836, top-5: 82.8516, loss_main: 0.5584, loss_aux: 1.2169, loss: 2.7311
2023-02-02 23:05:50,395 - mmcls - INFO - Epoch [50][140/235]	lr: 2.533e-03, eta: 0:00:09, time: 0.066, data_time: 0.001, memory: 701, top-1: 87.7539, top-5: 96.5039, loss_main: 0.4921, loss_aux: 1.0276, loss: 1.4242
2023-02-02 23:05:51,012 - mmcls - INFO - Epoch [50][150/235]	lr: 2.526e-03, eta: 0:00:08, time: 0.062, data_time: 0.002, memory: 701, top-1: 65.4883, top-5: 78.9844, loss_main: 0.5332, loss_aux: 0.8773, loss: 2.6085
2023-02-02 23:05:51,651 - mmcls - INFO - Epoch [50][160/235]	lr: 2.519e-03, eta: 0:00:07, time: 0.063, data_time: 0.002, memory: 701, top-1: 67.5586, top-5: 77.5000, loss_main: 0.4399, loss_aux: 0.6993, loss: 2.1728
2023-02-02 23:05:52,321 - mmcls - INFO - Epoch [50][170/235]	lr: 2.514e-03, eta: 0:00:06, time: 0.069, data_time: 0.003, memory: 701, top-1: 65.4492, top-5: 77.2656, loss_main: 0.4867, loss_aux: 0.7767, loss: 2.4270
2023-02-02 23:05:53,102 - mmcls - INFO - Epoch [50][180/235]	lr: 2.509e-03, eta: 0:00:05, time: 0.076, data_time: 0.001, memory: 701, top-1: 73.3398, top-5: 87.6758, loss_main: 0.4217, loss_aux: 0.9008, loss: 2.0538
2023-02-02 23:05:53,749 - mmcls - INFO - Epoch [50][190/235]	lr: 2.506e-03, eta: 0:00:04, time: 0.066, data_time: 0.003, memory: 701, top-1: 77.0117, top-5: 90.8594, loss_main: 0.4149, loss_aux: 1.0424, loss: 2.0133
2023-02-02 23:05:54,530 - mmcls - INFO - Epoch [50][200/235]	lr: 2.503e-03, eta: 0:00:03, time: 0.078, data_time: 0.001, memory: 701, top-1: 56.6602, top-5: 70.4297, loss_main: 0.5171, loss_aux: 0.9034, loss: 3.0438
2023-02-02 23:05:55,202 - mmcls - INFO - Epoch [50][210/235]	lr: 2.501e-03, eta: 0:00:02, time: 0.066, data_time: 0.001, memory: 701, top-1: 73.1055, top-5: 84.1406, loss_main: 0.4186, loss_aux: 0.8657, loss: 2.1430
2023-02-02 23:05:55,832 - mmcls - INFO - Epoch [50][220/235]	lr: 2.500e-03, eta: 0:00:01, time: 0.064, data_time: 0.003, memory: 701, top-1: 63.6914, top-5: 76.1328, loss_main: 0.4768, loss_aux: 0.8578, loss: 2.5628
2023-02-02 23:05:56,499 - mmcls - INFO - Epoch [50][230/235]	lr: 2.500e-04, eta: 0:00:00, time: 0.066, data_time: 0.001, memory: 701, top-1: 41.0352, top-5: 59.2188, loss_main: 0.6703, loss_aux: 0.6810, loss: 3.5910
2023-02-02 23:05:56,790 - mmcls - INFO - Saving checkpoint at 50 epochs
2023-02-02 23:05:59,288 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 23:05:59,288 - mmcls - INFO - Epoch(val) [50][12]	acc: 82.4000