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2023-02-02 22:45:53,960 - 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 22:45:53,961 - mmcls - INFO - Distributed training: True
2023-02-02 22:45:54,176 - 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))
img_size = 84
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
meta_keys = ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'flip',
'flip_direction', 'img_norm_cfg', 'cls_id', 'img_id')
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='RandomResizedCrop', size=84),
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=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
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='LoadImageFromFile'),
dict(type='Resize', size=(96, -1)),
dict(type='CenterCrop', crop_size=84),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
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=10,
dataset=dict(
type='MiniImageNetFSCILDataset',
data_prefix='/opt/data/miniimagenet',
pipeline=[
dict(type='LoadImageFromFile'),
dict(type='RandomResizedCrop', size=84),
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=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
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='MiniImageNetFSCILDataset',
data_prefix='/opt/data/miniimagenet',
pipeline=[
dict(type='LoadImageFromFile'),
dict(type='Resize', size=(96, -1)),
dict(type='CenterCrop', crop_size=84),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
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='MiniImageNetFSCILDataset',
data_prefix='/opt/data/miniimagenet',
pipeline=[
dict(type='LoadImageFromFile'),
dict(type='Resize', size=(96, -1)),
dict(type='CenterCrop', crop_size=84),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
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='step',
gamma=0.25,
warmup='linear',
warmup_iters=3000,
warmup_ratio=0.25,
step=[20, 30, 35, 40, 45])
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/m_imagenet_etf'
gpu_ids = range(0, 8)
2023-02-02 22:45:54,176 - mmcls - INFO - Set random seed to 0, deterministic: True
2023-02-02 22:45:54,292 - mmcls - INFO - ETF head : evaluating 60 out of 100 classes.
2023-02-02 22:45:54,292 - 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 22:46:07,008 - mmcls - INFO - Start running, host: root@DGX-108, work_dir: /opt/logger/m_imagenet_etf
2023-02-02 22:46:07,009 - mmcls - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH ) StepLrUpdaterHook
(NORMAL ) CheckpointHook
(LOW ) DistEvalHook
(VERY_LOW ) TextLoggerHook
--------------------
before_train_epoch:
(VERY_HIGH ) StepLrUpdaterHook
(NORMAL ) DistSamplerSeedHook
(LOW ) IterTimerHook
(LOW ) DistEvalHook
(VERY_LOW ) TextLoggerHook
--------------------
before_train_iter:
(VERY_HIGH ) StepLrUpdaterHook
(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 22:46:07,009 - mmcls - INFO - workflow: [('train', 1)], max: 50 epochs
2023-02-02 22:46:07,009 - mmcls - INFO - Checkpoints will be saved to /opt/logger/m_imagenet_etf by HardDiskBackend.
2023-02-02 22:46:21,936 - mmcls - INFO - Epoch [1][10/586] lr: 6.306e-02, eta: 12:06:32, time: 1.488, data_time: 0.290, memory: 2815, loss: 4.3471, top-1: 3.2227, top-5: 12.5000
2023-02-02 22:46:22,997 - mmcls - INFO - Epoch [1][20/586] lr: 6.369e-02, eta: 6:28:45, time: 0.105, data_time: 0.004, memory: 2815, loss: 4.0761, top-1: 5.9570, top-5: 20.7422
2023-02-02 22:46:24,006 - mmcls - INFO - Epoch [1][30/586] lr: 6.431e-02, eta: 4:35:39, time: 0.102, data_time: 0.006, memory: 2815, loss: 3.9527, top-1: 7.8125, top-5: 26.9141
2023-02-02 22:46:25,052 - mmcls - INFO - Epoch [1][40/586] lr: 6.494e-02, eta: 3:39:10, time: 0.103, data_time: 0.005, memory: 2815, loss: 3.8298, top-1: 8.4375, top-5: 27.3633
2023-02-02 22:46:26,106 - mmcls - INFO - Epoch [1][50/586] lr: 6.556e-02, eta: 3:05:34, time: 0.106, data_time: 0.007, memory: 2815, loss: 3.7423, top-1: 9.4922, top-5: 29.8438
2023-02-02 22:46:27,152 - mmcls - INFO - Epoch [1][60/586] lr: 6.619e-02, eta: 2:43:10, time: 0.106, data_time: 0.006, memory: 2815, loss: 3.6405, top-1: 11.1914, top-5: 33.5352
2023-02-02 22:46:28,230 - mmcls - INFO - Epoch [1][70/586] lr: 6.681e-02, eta: 2:27:14, time: 0.107, data_time: 0.005, memory: 2815, loss: 3.5902, top-1: 11.8945, top-5: 34.3750
2023-02-02 22:46:29,251 - mmcls - INFO - Epoch [1][80/586] lr: 6.744e-02, eta: 2:14:54, time: 0.100, data_time: 0.007, memory: 2815, loss: 3.5338, top-1: 12.6758, top-5: 35.9570
2023-02-02 22:46:30,248 - mmcls - INFO - Epoch [1][90/586] lr: 6.806e-02, eta: 2:05:25, time: 0.103, data_time: 0.008, memory: 2815, loss: 3.4658, top-1: 13.6133, top-5: 37.9688
2023-02-02 22:46:31,286 - mmcls - INFO - Epoch [1][100/586] lr: 6.869e-02, eta: 1:57:53, time: 0.104, data_time: 0.005, memory: 2815, loss: 3.4346, top-1: 14.4141, top-5: 40.0391
2023-02-02 22:46:32,273 - mmcls - INFO - Epoch [1][110/586] lr: 6.931e-02, eta: 1:51:26, time: 0.097, data_time: 0.006, memory: 2815, loss: 3.4015, top-1: 15.1172, top-5: 40.3320
2023-02-02 22:46:33,273 - mmcls - INFO - Epoch [1][120/586] lr: 6.994e-02, eta: 1:46:20, time: 0.104, data_time: 0.007, memory: 2815, loss: 3.3123, top-1: 15.9375, top-5: 42.9492
2023-02-02 22:46:33,763 - mmcls - INFO - Epoch [1][130/586] lr: 7.056e-02, eta: 1:39:57, time: 0.049, data_time: 0.003, memory: 2815, loss: 3.2496, top-1: 18.2422, top-5: 45.3320
2023-02-02 22:46:34,246 - mmcls - INFO - Epoch [1][140/586] lr: 7.119e-02, eta: 1:34:28, time: 0.048, data_time: 0.002, memory: 2815, loss: 3.2182, top-1: 17.6562, top-5: 46.0352
2023-02-02 22:46:34,722 - mmcls - INFO - Epoch [1][150/586] lr: 7.181e-02, eta: 1:29:40, time: 0.047, data_time: 0.002, memory: 2815, loss: 3.2086, top-1: 18.4375, top-5: 46.0547
2023-02-02 22:46:35,449 - mmcls - INFO - Epoch [1][160/586] lr: 7.244e-02, eta: 1:26:09, time: 0.070, data_time: 0.003, memory: 2815, loss: 3.1407, top-1: 19.4727, top-5: 49.5703
2023-02-02 22:46:35,923 - mmcls - INFO - Epoch [1][170/586] lr: 7.306e-02, eta: 1:22:30, time: 0.051, data_time: 0.006, memory: 2815, loss: 3.1044, top-1: 20.2734, top-5: 50.1758
2023-02-02 22:46:36,403 - mmcls - INFO - Epoch [1][180/586] lr: 7.369e-02, eta: 1:19:11, time: 0.048, data_time: 0.002, memory: 2815, loss: 3.0770, top-1: 20.7617, top-5: 50.8594
2023-02-02 22:46:36,893 - mmcls - INFO - Epoch [1][190/586] lr: 7.431e-02, eta: 1:16:15, time: 0.049, data_time: 0.002, memory: 2815, loss: 3.0407, top-1: 21.1133, top-5: 51.3086
2023-02-02 22:46:37,368 - mmcls - INFO - Epoch [1][200/586] lr: 7.494e-02, eta: 1:13:33, time: 0.047, data_time: 0.002, memory: 2815, loss: 2.9939, top-1: 21.9727, top-5: 52.7148
2023-02-02 22:46:38,260 - mmcls - INFO - Epoch [1][210/586] lr: 7.556e-02, eta: 1:12:03, time: 0.088, data_time: 0.002, memory: 2815, loss: 2.9861, top-1: 22.1875, top-5: 53.3398
2023-02-02 22:46:39,262 - mmcls - INFO - Epoch [1][220/586] lr: 7.619e-02, eta: 1:10:55, time: 0.098, data_time: 0.004, memory: 2815, loss: 2.8887, top-1: 23.6523, top-5: 55.4492
2023-02-02 22:46:40,277 - mmcls - INFO - Epoch [1][230/586] lr: 7.681e-02, eta: 1:09:57, time: 0.102, data_time: 0.006, memory: 2815, loss: 2.9283, top-1: 23.4961, top-5: 54.4531
2023-02-02 22:46:41,318 - mmcls - INFO - Epoch [1][240/586] lr: 7.744e-02, eta: 1:09:07, time: 0.104, data_time: 0.005, memory: 2815, loss: 2.8455, top-1: 25.2148, top-5: 56.5039
2023-02-02 22:46:42,334 - mmcls - INFO - Epoch [1][250/586] lr: 7.806e-02, eta: 1:08:17, time: 0.101, data_time: 0.006, memory: 2815, loss: 2.7918, top-1: 27.0508, top-5: 58.8867
2023-02-02 22:46:43,376 - mmcls - INFO - Epoch [1][260/586] lr: 7.869e-02, eta: 1:07:35, time: 0.105, data_time: 0.006, memory: 2815, loss: 2.8145, top-1: 25.8594, top-5: 57.2266
2023-02-02 22:46:44,464 - mmcls - INFO - Epoch [1][270/586] lr: 7.931e-02, eta: 1:07:00, time: 0.109, data_time: 0.006, memory: 2815, loss: 2.7636, top-1: 26.9922, top-5: 59.7656
2023-02-02 22:46:45,478 - mmcls - INFO - Epoch [1][280/586] lr: 7.994e-02, eta: 1:06:18, time: 0.099, data_time: 0.006, memory: 2815, loss: 2.7235, top-1: 29.2188, top-5: 61.0547
2023-02-02 22:46:46,509 - mmcls - INFO - Epoch [1][290/586] lr: 8.056e-02, eta: 1:05:44, time: 0.104, data_time: 0.008, memory: 2815, loss: 2.7064, top-1: 27.8711, top-5: 60.6641
2023-02-02 22:46:47,728 - mmcls - INFO - Epoch [1][300/586] lr: 8.119e-02, eta: 1:05:30, time: 0.124, data_time: 0.007, memory: 2815, loss: 2.6945, top-1: 27.7539, top-5: 61.5430
2023-02-02 22:46:48,861 - mmcls - INFO - Epoch [1][310/586] lr: 8.181e-02, eta: 1:05:08, time: 0.113, data_time: 0.006, memory: 2815, loss: 2.6598, top-1: 28.7500, top-5: 62.0898
2023-02-02 22:46:49,932 - mmcls - INFO - Epoch [1][320/586] lr: 8.244e-02, eta: 1:04:41, time: 0.107, data_time: 0.006, memory: 2815, loss: 2.5958, top-1: 30.9570, top-5: 63.7500
2023-02-02 22:46:50,932 - mmcls - INFO - Epoch [1][330/586] lr: 8.306e-02, eta: 1:04:10, time: 0.100, data_time: 0.006, memory: 2815, loss: 2.5722, top-1: 31.1328, top-5: 65.0391
2023-02-02 22:46:51,959 - mmcls - INFO - Epoch [1][340/586] lr: 8.369e-02, eta: 1:03:42, time: 0.102, data_time: 0.006, memory: 2815, loss: 2.5812, top-1: 30.5664, top-5: 64.7656
2023-02-02 22:46:52,961 - mmcls - INFO - Epoch [1][350/586] lr: 8.431e-02, eta: 1:03:15, time: 0.101, data_time: 0.008, memory: 2815, loss: 2.5505, top-1: 31.1133, top-5: 64.2383
2023-02-02 22:46:53,999 - mmcls - INFO - Epoch [1][360/586] lr: 8.494e-02, eta: 1:02:53, time: 0.106, data_time: 0.006, memory: 2815, loss: 2.5493, top-1: 31.6211, top-5: 65.1562
2023-02-02 22:46:54,982 - mmcls - INFO - Epoch [1][370/586] lr: 8.556e-02, eta: 1:02:24, time: 0.095, data_time: 0.004, memory: 2815, loss: 2.4463, top-1: 33.5547, top-5: 67.7539
2023-02-02 22:46:55,594 - mmcls - INFO - Epoch [1][380/586] lr: 8.619e-02, eta: 1:01:35, time: 0.066, data_time: 0.008, memory: 2815, loss: 2.4872, top-1: 33.0078, top-5: 65.9180
2023-02-02 22:46:56,116 - mmcls - INFO - Epoch [1][390/586] lr: 8.681e-02, eta: 1:00:38, time: 0.053, data_time: 0.003, memory: 2815, loss: 2.4308, top-1: 34.7852, top-5: 66.9336
2023-02-02 22:46:56,615 - mmcls - INFO - Epoch [1][400/586] lr: 8.744e-02, eta: 0:59:42, time: 0.050, data_time: 0.003, memory: 2815, loss: 2.4028, top-1: 35.9180, top-5: 68.1055
2023-02-02 22:46:57,326 - mmcls - INFO - Epoch [1][410/586] lr: 8.806e-02, eta: 0:59:01, time: 0.067, data_time: 0.002, memory: 2815, loss: 2.4233, top-1: 34.9023, top-5: 67.0898
2023-02-02 22:46:57,850 - mmcls - INFO - Epoch [1][420/586] lr: 8.869e-02, eta: 0:58:14, time: 0.056, data_time: 0.006, memory: 2815, loss: 2.4280, top-1: 34.4922, top-5: 67.0508
2023-02-02 22:46:58,338 - mmcls - INFO - Epoch [1][430/586] lr: 8.931e-02, eta: 0:57:24, time: 0.049, data_time: 0.003, memory: 2815, loss: 2.4228, top-1: 34.1992, top-5: 66.9727
2023-02-02 22:46:58,831 - mmcls - INFO - Epoch [1][440/586] lr: 8.994e-02, eta: 0:56:37, time: 0.049, data_time: 0.003, memory: 2815, loss: 2.3947, top-1: 35.3125, top-5: 67.1680
2023-02-02 22:46:59,323 - mmcls - INFO - Epoch [1][450/586] lr: 9.056e-02, eta: 0:55:52, time: 0.049, data_time: 0.003, memory: 2815, loss: 2.3495, top-1: 35.5469, top-5: 69.1016
2023-02-02 22:47:00,783 - mmcls - INFO - Epoch [1][460/586] lr: 9.119e-02, eta: 0:56:05, time: 0.139, data_time: 0.003, memory: 2815, loss: 2.3513, top-1: 36.2109, top-5: 68.9844
2023-02-02 22:47:01,959 - mmcls - INFO - Epoch [1][470/586] lr: 9.181e-02, eta: 0:56:06, time: 0.121, data_time: 0.010, memory: 2815, loss: 2.2999, top-1: 37.5977, top-5: 70.7812
2023-02-02 22:47:03,197 - mmcls - INFO - Epoch [1][480/586] lr: 9.244e-02, eta: 0:56:09, time: 0.125, data_time: 0.007, memory: 2815, loss: 2.3316, top-1: 36.6797, top-5: 69.6289
2023-02-02 22:47:04,905 - mmcls - INFO - Epoch [1][490/586] lr: 9.306e-02, eta: 0:56:37, time: 0.166, data_time: 0.006, memory: 2815, loss: 2.3409, top-1: 36.3281, top-5: 69.5117
2023-02-02 22:47:06,353 - mmcls - INFO - Epoch [1][500/586] lr: 9.369e-02, eta: 0:56:52, time: 0.145, data_time: 0.011, memory: 2815, loss: 2.2825, top-1: 38.2812, top-5: 70.3906
2023-02-02 22:47:07,808 - mmcls - INFO - Epoch [1][510/586] lr: 9.431e-02, eta: 0:57:06, time: 0.145, data_time: 0.010, memory: 2815, loss: 2.2356, top-1: 38.3594, top-5: 70.7617
2023-02-02 22:47:09,169 - mmcls - INFO - Epoch [1][520/586] lr: 9.494e-02, eta: 0:57:16, time: 0.139, data_time: 0.010, memory: 2815, loss: 2.2694, top-1: 37.5195, top-5: 70.4492
2023-02-02 22:47:10,652 - mmcls - INFO - Epoch [1][530/586] lr: 9.556e-02, eta: 0:57:28, time: 0.145, data_time: 0.007, memory: 2815, loss: 2.2382, top-1: 38.8867, top-5: 71.0742
2023-02-02 22:47:12,082 - mmcls - INFO - Epoch [1][540/586] lr: 9.619e-02, eta: 0:57:40, time: 0.145, data_time: 0.011, memory: 2815, loss: 2.1960, top-1: 38.9648, top-5: 72.0508
2023-02-02 22:47:13,419 - mmcls - INFO - Epoch [1][550/586] lr: 9.681e-02, eta: 0:57:48, time: 0.137, data_time: 0.009, memory: 2815, loss: 2.2085, top-1: 39.5898, top-5: 71.5430
2023-02-02 22:47:14,489 - mmcls - INFO - Epoch [1][560/586] lr: 9.744e-02, eta: 0:57:39, time: 0.107, data_time: 0.006, memory: 2815, loss: 2.1902, top-1: 39.2383, top-5: 72.4023
2023-02-02 22:47:15,578 - mmcls - INFO - Epoch [1][570/586] lr: 9.806e-02, eta: 0:57:33, time: 0.110, data_time: 0.006, memory: 2815, loss: 2.1461, top-1: 41.0547, top-5: 73.0469
2023-02-02 22:47:16,752 - mmcls - INFO - Epoch [1][580/586] lr: 9.869e-02, eta: 0:57:30, time: 0.117, data_time: 0.005, memory: 2815, loss: 2.1638, top-1: 39.2773, top-5: 72.0703
2023-02-02 22:47:17,250 - mmcls - INFO - Saving checkpoint at 1 epochs
2023-02-02 22:47:21,206 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:47:21,412 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_1.pth.
2023-02-02 22:47:21,412 - mmcls - INFO - Best acc is 39.4167 at 1 epoch.
2023-02-02 22:47:21,413 - mmcls - INFO - Epoch(val) [1][12] acc: 39.4167
2023-02-02 22:47:24,726 - mmcls - INFO - Epoch [2][10/586] lr: 9.969e-02, eta: 0:58:33, time: 0.327, data_time: 0.218, memory: 2815, loss: 2.1317, top-1: 40.4883, top-5: 73.2227
2023-02-02 22:47:25,735 - mmcls - INFO - Epoch [2][20/586] lr: 1.003e-01, eta: 0:58:21, time: 0.099, data_time: 0.004, memory: 2815, loss: 2.1108, top-1: 41.4844, top-5: 73.3203
2023-02-02 22:47:27,056 - mmcls - INFO - Epoch [2][30/586] lr: 1.009e-01, eta: 0:58:24, time: 0.132, data_time: 0.006, memory: 2815, loss: 2.1097, top-1: 40.7812, top-5: 74.5312
2023-02-02 22:47:28,643 - mmcls - INFO - Epoch [2][40/586] lr: 1.016e-01, eta: 0:58:40, time: 0.160, data_time: 0.007, memory: 2815, loss: 2.0752, top-1: 41.0547, top-5: 74.9609
2023-02-02 22:47:30,337 - mmcls - INFO - Epoch [2][50/586] lr: 1.022e-01, eta: 0:59:00, time: 0.169, data_time: 0.006, memory: 2815, loss: 2.0803, top-1: 42.4414, top-5: 73.8086
2023-02-02 22:47:31,774 - mmcls - INFO - Epoch [2][60/586] lr: 1.028e-01, eta: 0:59:06, time: 0.140, data_time: 0.007, memory: 2815, loss: 2.0742, top-1: 42.5000, top-5: 73.9062
2023-02-02 22:47:33,106 - mmcls - INFO - Epoch [2][70/586] lr: 1.034e-01, eta: 0:59:10, time: 0.136, data_time: 0.010, memory: 2815, loss: 2.0255, top-1: 43.9648, top-5: 75.3516
2023-02-02 22:47:34,518 - mmcls - INFO - Epoch [2][80/586] lr: 1.041e-01, eta: 0:59:16, time: 0.141, data_time: 0.007, memory: 2815, loss: 2.0937, top-1: 40.8398, top-5: 73.4961
2023-02-02 22:47:35,872 - mmcls - INFO - Epoch [2][90/586] lr: 1.047e-01, eta: 0:59:19, time: 0.135, data_time: 0.007, memory: 2815, loss: 2.0514, top-1: 42.7930, top-5: 74.6680
2023-02-02 22:47:37,510 - mmcls - INFO - Epoch [2][100/586] lr: 1.053e-01, eta: 0:59:36, time: 0.167, data_time: 0.008, memory: 2815, loss: 2.0341, top-1: 43.3984, top-5: 74.2969
2023-02-02 22:47:38,729 - mmcls - INFO - Epoch [2][110/586] lr: 1.059e-01, eta: 0:59:32, time: 0.120, data_time: 0.005, memory: 2815, loss: 2.0212, top-1: 43.6328, top-5: 75.1953
2023-02-02 22:47:39,812 - mmcls - INFO - Epoch [2][120/586] lr: 1.066e-01, eta: 0:59:22, time: 0.103, data_time: 0.007, memory: 2815, loss: 2.0567, top-1: 43.7109, top-5: 74.2383
2023-02-02 22:47:41,030 - mmcls - INFO - Epoch [2][130/586] lr: 1.072e-01, eta: 0:59:23, time: 0.128, data_time: 0.012, memory: 2815, loss: 2.0239, top-1: 42.6953, top-5: 74.6875
2023-02-02 22:47:42,015 - mmcls - INFO - Epoch [2][140/586] lr: 1.078e-01, eta: 0:59:11, time: 0.099, data_time: 0.006, memory: 2815, loss: 2.0151, top-1: 43.1641, top-5: 75.2539
2023-02-02 22:47:43,128 - mmcls - INFO - Epoch [2][150/586] lr: 1.084e-01, eta: 0:59:03, time: 0.105, data_time: 0.005, memory: 2815, loss: 1.9707, top-1: 44.4922, top-5: 76.7969
2023-02-02 22:47:44,628 - mmcls - INFO - Epoch [2][160/586] lr: 1.091e-01, eta: 0:59:12, time: 0.151, data_time: 0.011, memory: 2815, loss: 1.9514, top-1: 44.4531, top-5: 76.2500
2023-02-02 22:47:46,334 - mmcls - INFO - Epoch [2][170/586] lr: 1.097e-01, eta: 0:59:29, time: 0.174, data_time: 0.010, memory: 2815, loss: 1.9674, top-1: 44.5312, top-5: 76.4648
2023-02-02 22:47:47,433 - mmcls - INFO - Epoch [2][180/586] lr: 1.103e-01, eta: 0:59:23, time: 0.112, data_time: 0.006, memory: 2815, loss: 1.9655, top-1: 44.6875, top-5: 76.1914
2023-02-02 22:47:48,631 - mmcls - INFO - Epoch [2][190/586] lr: 1.109e-01, eta: 0:59:20, time: 0.120, data_time: 0.004, memory: 2815, loss: 1.9452, top-1: 45.4102, top-5: 76.6797
2023-02-02 22:47:49,578 - mmcls - INFO - Epoch [2][200/586] lr: 1.116e-01, eta: 0:59:08, time: 0.095, data_time: 0.004, memory: 2815, loss: 1.9305, top-1: 45.9375, top-5: 75.9961
2023-02-02 22:47:50,541 - mmcls - INFO - Epoch [2][210/586] lr: 1.122e-01, eta: 0:58:55, time: 0.093, data_time: 0.003, memory: 2815, loss: 1.8854, top-1: 46.6992, top-5: 77.4805
2023-02-02 22:47:52,011 - mmcls - INFO - Epoch [2][220/586] lr: 1.128e-01, eta: 0:59:02, time: 0.145, data_time: 0.007, memory: 2815, loss: 1.9374, top-1: 45.2930, top-5: 76.2500
2023-02-02 22:47:53,301 - mmcls - INFO - Epoch [2][230/586] lr: 1.134e-01, eta: 0:59:03, time: 0.132, data_time: 0.009, memory: 2815, loss: 1.9264, top-1: 45.9961, top-5: 76.2695
2023-02-02 22:47:54,373 - mmcls - INFO - Epoch [2][240/586] lr: 1.141e-01, eta: 0:58:54, time: 0.103, data_time: 0.006, memory: 2815, loss: 1.9003, top-1: 46.7383, top-5: 77.1094
2023-02-02 22:47:55,712 - mmcls - INFO - Epoch [2][250/586] lr: 1.147e-01, eta: 0:58:58, time: 0.140, data_time: 0.010, memory: 2815, loss: 1.8751, top-1: 46.4648, top-5: 77.7930
2023-02-02 22:47:56,710 - mmcls - INFO - Epoch [2][260/586] lr: 1.153e-01, eta: 0:58:49, time: 0.100, data_time: 0.005, memory: 2815, loss: 1.8752, top-1: 47.0508, top-5: 77.0508
2023-02-02 22:47:58,071 - mmcls - INFO - Epoch [2][270/586] lr: 1.159e-01, eta: 0:58:49, time: 0.129, data_time: 0.004, memory: 2815, loss: 1.8396, top-1: 47.3828, top-5: 78.4961
2023-02-02 22:47:59,628 - mmcls - INFO - Epoch [2][280/586] lr: 1.166e-01, eta: 0:58:59, time: 0.158, data_time: 0.012, memory: 2815, loss: 1.8268, top-1: 46.8555, top-5: 78.6914
2023-02-02 22:48:01,241 - mmcls - INFO - Epoch [2][290/586] lr: 1.172e-01, eta: 0:59:09, time: 0.157, data_time: 0.010, memory: 2815, loss: 1.8116, top-1: 47.6562, top-5: 79.0234
2023-02-02 22:48:02,603 - mmcls - INFO - Epoch [2][300/586] lr: 1.178e-01, eta: 0:59:13, time: 0.141, data_time: 0.013, memory: 2815, loss: 1.8469, top-1: 47.4023, top-5: 77.9688
2023-02-02 22:48:04,183 - mmcls - INFO - Epoch [2][310/586] lr: 1.184e-01, eta: 0:59:22, time: 0.158, data_time: 0.009, memory: 2815, loss: 1.8847, top-1: 46.7188, top-5: 77.3047
2023-02-02 22:48:05,598 - mmcls - INFO - Epoch [2][320/586] lr: 1.191e-01, eta: 0:59:27, time: 0.145, data_time: 0.008, memory: 2815, loss: 1.8385, top-1: 47.3633, top-5: 78.2812
2023-02-02 22:48:06,985 - mmcls - INFO - Epoch [2][330/586] lr: 1.197e-01, eta: 0:59:29, time: 0.137, data_time: 0.005, memory: 2815, loss: 1.7892, top-1: 48.4570, top-5: 78.6328
2023-02-02 22:48:08,364 - mmcls - INFO - Epoch [2][340/586] lr: 1.203e-01, eta: 0:59:31, time: 0.137, data_time: 0.007, memory: 2815, loss: 1.7920, top-1: 48.2422, top-5: 78.3008
2023-02-02 22:48:09,537 - mmcls - INFO - Epoch [2][350/586] lr: 1.209e-01, eta: 0:59:28, time: 0.119, data_time: 0.007, memory: 2815, loss: 1.7798, top-1: 48.5547, top-5: 78.8867
2023-02-02 22:48:10,672 - mmcls - INFO - Epoch [2][360/586] lr: 1.216e-01, eta: 0:59:22, time: 0.109, data_time: 0.006, memory: 2815, loss: 1.8178, top-1: 48.1055, top-5: 78.8672
2023-02-02 22:48:11,901 - mmcls - INFO - Epoch [2][370/586] lr: 1.222e-01, eta: 0:59:21, time: 0.127, data_time: 0.010, memory: 2815, loss: 1.8563, top-1: 47.1484, top-5: 77.4805
2023-02-02 22:48:12,854 - mmcls - INFO - Epoch [2][380/586] lr: 1.228e-01, eta: 0:59:11, time: 0.096, data_time: 0.006, memory: 2815, loss: 1.8111, top-1: 48.5547, top-5: 78.2422
2023-02-02 22:48:13,588 - mmcls - INFO - Epoch [2][390/586] lr: 1.234e-01, eta: 0:58:55, time: 0.076, data_time: 0.005, memory: 2815, loss: 1.7649, top-1: 49.2578, top-5: 78.9844
2023-02-02 22:48:14,598 - mmcls - INFO - Epoch [2][400/586] lr: 1.241e-01, eta: 0:58:46, time: 0.097, data_time: 0.002, memory: 2815, loss: 1.7749, top-1: 49.0820, top-5: 78.8281
2023-02-02 22:48:15,878 - mmcls - INFO - Epoch [2][410/586] lr: 1.247e-01, eta: 0:58:45, time: 0.124, data_time: 0.006, memory: 2815, loss: 1.7982, top-1: 47.5977, top-5: 79.0039
2023-02-02 22:48:16,866 - mmcls - INFO - Epoch [2][420/586] lr: 1.253e-01, eta: 0:58:38, time: 0.104, data_time: 0.010, memory: 2815, loss: 1.7569, top-1: 48.7695, top-5: 79.0430
2023-02-02 22:48:17,975 - mmcls - INFO - Epoch [2][430/586] lr: 1.259e-01, eta: 0:58:31, time: 0.105, data_time: 0.004, memory: 2815, loss: 1.7286, top-1: 50.3320, top-5: 80.0586
2023-02-02 22:48:19,354 - mmcls - INFO - Epoch [2][440/586] lr: 1.266e-01, eta: 0:58:35, time: 0.141, data_time: 0.010, memory: 2815, loss: 1.7640, top-1: 49.0430, top-5: 79.6484
2023-02-02 22:48:20,791 - mmcls - INFO - Epoch [2][450/586] lr: 1.272e-01, eta: 0:58:39, time: 0.144, data_time: 0.006, memory: 2815, loss: 1.7335, top-1: 49.7852, top-5: 79.4336
2023-02-02 22:48:22,199 - mmcls - INFO - Epoch [2][460/586] lr: 1.278e-01, eta: 0:58:41, time: 0.136, data_time: 0.006, memory: 2815, loss: 1.7620, top-1: 49.1797, top-5: 78.8867
2023-02-02 22:48:23,581 - mmcls - INFO - Epoch [2][470/586] lr: 1.284e-01, eta: 0:58:44, time: 0.141, data_time: 0.011, memory: 2815, loss: 1.7236, top-1: 49.6680, top-5: 80.1953
2023-02-02 22:48:24,638 - mmcls - INFO - Epoch [2][480/586] lr: 1.291e-01, eta: 0:58:38, time: 0.107, data_time: 0.008, memory: 2815, loss: 1.6684, top-1: 50.8594, top-5: 80.5273
2023-02-02 22:48:25,932 - mmcls - INFO - Epoch [2][490/586] lr: 1.297e-01, eta: 0:58:38, time: 0.130, data_time: 0.006, memory: 2815, loss: 1.6878, top-1: 50.8203, top-5: 80.8594
2023-02-02 22:48:26,952 - mmcls - INFO - Epoch [2][500/586] lr: 1.303e-01, eta: 0:58:31, time: 0.102, data_time: 0.005, memory: 2815, loss: 1.6837, top-1: 51.0938, top-5: 80.0391
2023-02-02 22:48:28,019 - mmcls - INFO - Epoch [2][510/586] lr: 1.309e-01, eta: 0:58:25, time: 0.106, data_time: 0.005, memory: 2815, loss: 1.6818, top-1: 50.3125, top-5: 80.6055
2023-02-02 22:48:29,635 - mmcls - INFO - Epoch [2][520/586] lr: 1.316e-01, eta: 0:58:33, time: 0.159, data_time: 0.006, memory: 2815, loss: 1.6920, top-1: 51.0156, top-5: 80.1953
2023-02-02 22:48:31,215 - mmcls - INFO - Epoch [2][530/586] lr: 1.322e-01, eta: 0:58:39, time: 0.155, data_time: 0.008, memory: 2815, loss: 1.6925, top-1: 49.5898, top-5: 80.5859
2023-02-02 22:48:32,613 - mmcls - INFO - Epoch [2][540/586] lr: 1.328e-01, eta: 0:58:43, time: 0.144, data_time: 0.012, memory: 2815, loss: 1.6669, top-1: 51.7969, top-5: 80.5859
2023-02-02 22:48:33,818 - mmcls - INFO - Epoch [2][550/586] lr: 1.334e-01, eta: 0:58:40, time: 0.120, data_time: 0.008, memory: 2815, loss: 1.6300, top-1: 52.5391, top-5: 81.0742
2023-02-02 22:48:35,232 - mmcls - INFO - Epoch [2][560/586] lr: 1.341e-01, eta: 0:58:43, time: 0.141, data_time: 0.008, memory: 2815, loss: 1.6564, top-1: 51.1328, top-5: 80.6250
2023-02-02 22:48:36,690 - mmcls - INFO - Epoch [2][570/586] lr: 1.347e-01, eta: 0:58:47, time: 0.147, data_time: 0.009, memory: 2815, loss: 1.6337, top-1: 52.5586, top-5: 80.6641
2023-02-02 22:48:38,072 - mmcls - INFO - Epoch [2][580/586] lr: 1.353e-01, eta: 0:58:49, time: 0.140, data_time: 0.008, memory: 2815, loss: 1.6336, top-1: 51.8945, top-5: 81.2500
2023-02-02 22:48:38,700 - mmcls - INFO - Saving checkpoint at 2 epochs
2023-02-02 22:48:41,423 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:48:41,435 - mmcls - INFO - The previous best checkpoint /opt/logger/m_imagenet_etf/best_acc_epoch_1.pth was removed
2023-02-02 22:48:41,634 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_2.pth.
2023-02-02 22:48:41,635 - mmcls - INFO - Best acc is 49.0500 at 2 epoch.
2023-02-02 22:48:41,635 - mmcls - INFO - Epoch(val) [2][12] acc: 49.0500
2023-02-02 22:48:45,515 - mmcls - INFO - Epoch [3][10/586] lr: 1.363e-01, eta: 0:59:30, time: 0.382, data_time: 0.225, memory: 2815, loss: 1.5928, top-1: 52.8906, top-5: 82.2070
2023-02-02 22:48:46,871 - mmcls - INFO - Epoch [3][20/586] lr: 1.369e-01, eta: 0:59:30, time: 0.132, data_time: 0.006, memory: 2815, loss: 1.6214, top-1: 52.8125, top-5: 80.9961
2023-02-02 22:48:48,108 - mmcls - INFO - Epoch [3][30/586] lr: 1.376e-01, eta: 0:59:28, time: 0.124, data_time: 0.010, memory: 2815, loss: 1.6298, top-1: 52.5781, top-5: 80.7031
2023-02-02 22:48:49,488 - mmcls - INFO - Epoch [3][40/586] lr: 1.382e-01, eta: 0:59:31, time: 0.143, data_time: 0.010, memory: 2815, loss: 1.6075, top-1: 52.1289, top-5: 81.4258
2023-02-02 22:48:50,964 - mmcls - INFO - Epoch [3][50/586] lr: 1.388e-01, eta: 0:59:34, time: 0.146, data_time: 0.004, memory: 2815, loss: 1.5627, top-1: 53.7500, top-5: 82.3828
2023-02-02 22:48:52,528 - mmcls - INFO - Epoch [3][60/586] lr: 1.394e-01, eta: 0:59:39, time: 0.155, data_time: 0.006, memory: 2815, loss: 1.6008, top-1: 52.7344, top-5: 81.5039
2023-02-02 22:48:53,518 - mmcls - INFO - Epoch [3][70/586] lr: 1.401e-01, eta: 0:59:31, time: 0.101, data_time: 0.008, memory: 2815, loss: 1.6075, top-1: 52.6172, top-5: 81.4062
2023-02-02 22:48:54,690 - mmcls - INFO - Epoch [3][80/586] lr: 1.407e-01, eta: 0:59:28, time: 0.117, data_time: 0.006, memory: 2815, loss: 1.6554, top-1: 52.0508, top-5: 80.2344
2023-02-02 22:48:55,785 - mmcls - INFO - Epoch [3][90/586] lr: 1.413e-01, eta: 0:59:23, time: 0.110, data_time: 0.006, memory: 2815, loss: 1.5962, top-1: 52.9102, top-5: 81.4648
2023-02-02 22:48:56,821 - mmcls - INFO - Epoch [3][100/586] lr: 1.419e-01, eta: 0:59:16, time: 0.105, data_time: 0.005, memory: 2815, loss: 1.5860, top-1: 52.4609, top-5: 81.6797
2023-02-02 22:48:58,251 - mmcls - INFO - Epoch [3][110/586] lr: 1.426e-01, eta: 0:59:17, time: 0.133, data_time: 0.004, memory: 2815, loss: 1.5549, top-1: 53.6133, top-5: 82.5195
2023-02-02 22:48:59,789 - mmcls - INFO - Epoch [3][120/586] lr: 1.432e-01, eta: 0:59:23, time: 0.162, data_time: 0.014, memory: 2815, loss: 1.5122, top-1: 54.6094, top-5: 83.1641
2023-02-02 22:49:01,225 - mmcls - INFO - Epoch [3][130/586] lr: 1.438e-01, eta: 0:59:24, time: 0.141, data_time: 0.006, memory: 2815, loss: 1.5283, top-1: 55.0000, top-5: 82.7148
2023-02-02 22:49:02,546 - mmcls - INFO - Epoch [3][140/586] lr: 1.444e-01, eta: 0:59:24, time: 0.133, data_time: 0.009, memory: 2815, loss: 1.5493, top-1: 54.1211, top-5: 82.4414
2023-02-02 22:49:04,028 - mmcls - INFO - Epoch [3][150/586] lr: 1.451e-01, eta: 0:59:27, time: 0.147, data_time: 0.008, memory: 2815, loss: 1.5631, top-1: 53.4766, top-5: 81.7773
2023-02-02 22:49:05,382 - mmcls - INFO - Epoch [3][160/586] lr: 1.457e-01, eta: 0:59:27, time: 0.132, data_time: 0.010, memory: 2815, loss: 1.5544, top-1: 53.5156, top-5: 81.7969
2023-02-02 22:49:06,806 - mmcls - INFO - Epoch [3][170/586] lr: 1.463e-01, eta: 0:59:29, time: 0.145, data_time: 0.013, memory: 2815, loss: 1.5266, top-1: 54.8242, top-5: 82.9688
2023-02-02 22:49:08,166 - mmcls - INFO - Epoch [3][180/586] lr: 1.469e-01, eta: 0:59:30, time: 0.139, data_time: 0.011, memory: 2815, loss: 1.5354, top-1: 54.4336, top-5: 82.9688
2023-02-02 22:49:08,691 - mmcls - INFO - Epoch [3][190/586] lr: 1.476e-01, eta: 0:59:15, time: 0.058, data_time: 0.008, memory: 2815, loss: 1.5232, top-1: 54.0430, top-5: 83.6523
2023-02-02 22:49:09,166 - mmcls - INFO - Epoch [3][200/586] lr: 1.482e-01, eta: 0:58:57, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.5342, top-1: 54.2188, top-5: 82.5586
2023-02-02 22:49:09,869 - mmcls - INFO - Epoch [3][210/586] lr: 1.488e-01, eta: 0:58:44, time: 0.068, data_time: 0.002, memory: 2815, loss: 1.4910, top-1: 55.9180, top-5: 83.3203
2023-02-02 22:49:10,683 - mmcls - INFO - Epoch [3][220/586] lr: 1.494e-01, eta: 0:58:34, time: 0.083, data_time: 0.005, memory: 2815, loss: 1.4654, top-1: 55.8008, top-5: 83.3398
2023-02-02 22:49:11,146 - mmcls - INFO - Epoch [3][230/586] lr: 1.501e-01, eta: 0:58:17, time: 0.047, data_time: 0.004, memory: 2815, loss: 1.4900, top-1: 55.2734, top-5: 83.6719
2023-02-02 22:49:11,614 - mmcls - INFO - Epoch [3][240/586] lr: 1.507e-01, eta: 0:58:00, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.5036, top-1: 54.7656, top-5: 82.9492
2023-02-02 22:49:12,223 - mmcls - INFO - Epoch [3][250/586] lr: 1.513e-01, eta: 0:57:46, time: 0.057, data_time: 0.002, memory: 2815, loss: 1.4724, top-1: 56.5430, top-5: 83.1836
2023-02-02 22:49:13,488 - mmcls - INFO - Epoch [3][260/586] lr: 1.519e-01, eta: 0:57:44, time: 0.124, data_time: 0.006, memory: 2815, loss: 1.4972, top-1: 55.4297, top-5: 82.8320
2023-02-02 22:49:15,087 - mmcls - INFO - Epoch [3][270/586] lr: 1.526e-01, eta: 0:57:50, time: 0.161, data_time: 0.009, memory: 2815, loss: 1.4951, top-1: 55.1367, top-5: 82.9492
2023-02-02 22:49:16,753 - mmcls - INFO - Epoch [3][280/586] lr: 1.532e-01, eta: 0:57:57, time: 0.164, data_time: 0.008, memory: 2815, loss: 1.4651, top-1: 56.0547, top-5: 83.4766
2023-02-02 22:49:18,297 - mmcls - INFO - Epoch [3][290/586] lr: 1.538e-01, eta: 0:58:01, time: 0.153, data_time: 0.010, memory: 2815, loss: 1.4496, top-1: 56.8164, top-5: 83.3594
2023-02-02 22:49:19,662 - mmcls - INFO - Epoch [3][300/586] lr: 1.544e-01, eta: 0:58:02, time: 0.139, data_time: 0.011, memory: 2815, loss: 1.4618, top-1: 56.0547, top-5: 83.7695
2023-02-02 22:49:21,165 - mmcls - INFO - Epoch [3][310/586] lr: 1.551e-01, eta: 0:58:06, time: 0.151, data_time: 0.009, memory: 2815, loss: 1.4432, top-1: 55.3906, top-5: 84.5703
2023-02-02 22:49:22,602 - mmcls - INFO - Epoch [3][320/586] lr: 1.557e-01, eta: 0:58:08, time: 0.144, data_time: 0.008, memory: 2815, loss: 1.4692, top-1: 55.5859, top-5: 83.0078
2023-02-02 22:49:24,299 - mmcls - INFO - Epoch [3][330/586] lr: 1.563e-01, eta: 0:58:15, time: 0.168, data_time: 0.008, memory: 2815, loss: 1.4566, top-1: 57.1484, top-5: 83.4961
2023-02-02 22:49:25,586 - mmcls - INFO - Epoch [3][340/586] lr: 1.569e-01, eta: 0:58:15, time: 0.133, data_time: 0.010, memory: 2815, loss: 1.4523, top-1: 55.8984, top-5: 83.6719
2023-02-02 22:49:26,561 - mmcls - INFO - Epoch [3][350/586] lr: 1.576e-01, eta: 0:58:08, time: 0.098, data_time: 0.006, memory: 2815, loss: 1.4526, top-1: 56.6602, top-5: 83.6719
2023-02-02 22:49:27,834 - mmcls - INFO - Epoch [3][360/586] lr: 1.582e-01, eta: 0:58:07, time: 0.127, data_time: 0.006, memory: 2815, loss: 1.4203, top-1: 57.2070, top-5: 83.9844
2023-02-02 22:49:28,823 - mmcls - INFO - Epoch [3][370/586] lr: 1.588e-01, eta: 0:58:01, time: 0.098, data_time: 0.006, memory: 2815, loss: 1.4042, top-1: 57.0117, top-5: 83.9062
2023-02-02 22:49:29,835 - mmcls - INFO - Epoch [3][380/586] lr: 1.594e-01, eta: 0:57:56, time: 0.102, data_time: 0.007, memory: 2815, loss: 1.4035, top-1: 57.7539, top-5: 84.2969
2023-02-02 22:49:31,554 - mmcls - INFO - Epoch [3][390/586] lr: 1.601e-01, eta: 0:58:03, time: 0.172, data_time: 0.006, memory: 2815, loss: 1.4011, top-1: 56.8945, top-5: 84.6875
2023-02-02 22:49:33,053 - mmcls - INFO - Epoch [3][400/586] lr: 1.607e-01, eta: 0:58:05, time: 0.146, data_time: 0.006, memory: 2815, loss: 1.3868, top-1: 57.6172, top-5: 84.6484
2023-02-02 22:49:34,393 - mmcls - INFO - Epoch [3][410/586] lr: 1.613e-01, eta: 0:58:05, time: 0.136, data_time: 0.010, memory: 2815, loss: 1.3897, top-1: 58.1250, top-5: 84.7656
2023-02-02 22:49:35,717 - mmcls - INFO - Epoch [3][420/586] lr: 1.619e-01, eta: 0:58:05, time: 0.132, data_time: 0.008, memory: 2815, loss: 1.4158, top-1: 57.1094, top-5: 83.7500
2023-02-02 22:49:36,841 - mmcls - INFO - Epoch [3][430/586] lr: 1.626e-01, eta: 0:58:02, time: 0.114, data_time: 0.009, memory: 2815, loss: 1.4275, top-1: 56.5820, top-5: 83.6914
2023-02-02 22:49:37,803 - mmcls - INFO - Epoch [3][440/586] lr: 1.632e-01, eta: 0:57:56, time: 0.096, data_time: 0.007, memory: 2815, loss: 1.4172, top-1: 56.9336, top-5: 84.1992
2023-02-02 22:49:38,951 - mmcls - INFO - Epoch [3][450/586] lr: 1.638e-01, eta: 0:57:53, time: 0.117, data_time: 0.006, memory: 2815, loss: 1.3883, top-1: 57.5000, top-5: 84.5508
2023-02-02 22:49:39,697 - mmcls - INFO - Epoch [3][460/586] lr: 1.644e-01, eta: 0:57:43, time: 0.077, data_time: 0.005, memory: 2815, loss: 1.4165, top-1: 56.8555, top-5: 84.2578
2023-02-02 22:49:40,171 - mmcls - INFO - Epoch [3][470/586] lr: 1.651e-01, eta: 0:57:29, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.4034, top-1: 57.5000, top-5: 84.3945
2023-02-02 22:49:40,678 - mmcls - INFO - Epoch [3][480/586] lr: 1.657e-01, eta: 0:57:15, time: 0.048, data_time: 0.002, memory: 2815, loss: 1.4141, top-1: 57.0898, top-5: 84.4141
2023-02-02 22:49:42,005 - mmcls - INFO - Epoch [3][490/586] lr: 1.663e-01, eta: 0:57:15, time: 0.132, data_time: 0.005, memory: 2815, loss: 1.3931, top-1: 58.2617, top-5: 83.9648
2023-02-02 22:49:42,963 - mmcls - INFO - Epoch [3][500/586] lr: 1.669e-01, eta: 0:57:09, time: 0.096, data_time: 0.006, memory: 2815, loss: 1.3845, top-1: 58.2812, top-5: 84.6289
2023-02-02 22:49:43,889 - mmcls - INFO - Epoch [3][510/586] lr: 1.676e-01, eta: 0:57:03, time: 0.093, data_time: 0.005, memory: 2815, loss: 1.4182, top-1: 57.0312, top-5: 84.0430
2023-02-02 22:49:45,470 - mmcls - INFO - Epoch [3][520/586] lr: 1.682e-01, eta: 0:57:07, time: 0.156, data_time: 0.006, memory: 2815, loss: 1.3843, top-1: 58.4180, top-5: 84.3555
2023-02-02 22:49:46,977 - mmcls - INFO - Epoch [3][530/586] lr: 1.688e-01, eta: 0:57:09, time: 0.147, data_time: 0.008, memory: 2815, loss: 1.3562, top-1: 58.6523, top-5: 84.7070
2023-02-02 22:49:48,481 - mmcls - INFO - Epoch [3][540/586] lr: 1.694e-01, eta: 0:57:12, time: 0.151, data_time: 0.012, memory: 2815, loss: 1.3719, top-1: 58.3984, top-5: 84.0430
2023-02-02 22:49:49,893 - mmcls - INFO - Epoch [3][550/586] lr: 1.701e-01, eta: 0:57:14, time: 0.142, data_time: 0.011, memory: 2815, loss: 1.3156, top-1: 60.0781, top-5: 85.6641
2023-02-02 22:49:51,429 - mmcls - INFO - Epoch [3][560/586] lr: 1.707e-01, eta: 0:57:17, time: 0.153, data_time: 0.011, memory: 2815, loss: 1.3624, top-1: 58.6914, top-5: 84.9414
2023-02-02 22:49:52,724 - mmcls - INFO - Epoch [3][570/586] lr: 1.713e-01, eta: 0:57:17, time: 0.132, data_time: 0.011, memory: 2815, loss: 1.4137, top-1: 57.5781, top-5: 83.6133
2023-02-02 22:49:54,234 - mmcls - INFO - Epoch [3][580/586] lr: 1.719e-01, eta: 0:57:20, time: 0.151, data_time: 0.008, memory: 2815, loss: 1.3436, top-1: 58.4766, top-5: 85.4297
2023-02-02 22:49:55,107 - mmcls - INFO - Saving checkpoint at 3 epochs
2023-02-02 22:49:57,992 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:49:58,005 - mmcls - INFO - The previous best checkpoint /opt/logger/m_imagenet_etf/best_acc_epoch_2.pth was removed
2023-02-02 22:49:58,205 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_3.pth.
2023-02-02 22:49:58,205 - mmcls - INFO - Best acc is 61.5000 at 3 epoch.
2023-02-02 22:49:58,205 - mmcls - INFO - Epoch(val) [3][12] acc: 61.5000
2023-02-02 22:50:01,678 - mmcls - INFO - Epoch [4][10/586] lr: 1.729e-01, eta: 0:57:40, time: 0.341, data_time: 0.236, memory: 2815, loss: 1.3066, top-1: 60.6055, top-5: 85.5664
2023-02-02 22:50:02,658 - mmcls - INFO - Epoch [4][20/586] lr: 1.736e-01, eta: 0:57:35, time: 0.100, data_time: 0.006, memory: 2815, loss: 1.3316, top-1: 59.1211, top-5: 85.3320
2023-02-02 22:50:04,192 - mmcls - INFO - Epoch [4][30/586] lr: 1.742e-01, eta: 0:57:37, time: 0.147, data_time: 0.004, memory: 2815, loss: 1.3485, top-1: 58.2812, top-5: 85.0391
2023-02-02 22:50:05,695 - mmcls - INFO - Epoch [4][40/586] lr: 1.748e-01, eta: 0:57:39, time: 0.150, data_time: 0.011, memory: 2815, loss: 1.3473, top-1: 59.1602, top-5: 85.2344
2023-02-02 22:50:07,121 - mmcls - INFO - Epoch [4][50/586] lr: 1.754e-01, eta: 0:57:41, time: 0.145, data_time: 0.011, memory: 2815, loss: 1.3366, top-1: 59.4141, top-5: 85.2930
2023-02-02 22:50:08,372 - mmcls - INFO - Epoch [4][60/586] lr: 1.761e-01, eta: 0:57:40, time: 0.127, data_time: 0.009, memory: 2815, loss: 1.3380, top-1: 59.6875, top-5: 84.6484
2023-02-02 22:50:09,750 - mmcls - INFO - Epoch [4][70/586] lr: 1.767e-01, eta: 0:57:40, time: 0.138, data_time: 0.006, memory: 2815, loss: 1.3612, top-1: 58.9648, top-5: 84.6680
2023-02-02 22:50:10,880 - mmcls - INFO - Epoch [4][80/586] lr: 1.773e-01, eta: 0:57:37, time: 0.110, data_time: 0.006, memory: 2815, loss: 1.3479, top-1: 58.7305, top-5: 85.1172
2023-02-02 22:50:12,169 - mmcls - INFO - Epoch [4][90/586] lr: 1.779e-01, eta: 0:57:36, time: 0.132, data_time: 0.009, memory: 2815, loss: 1.3977, top-1: 56.7578, top-5: 84.3555
2023-02-02 22:50:13,268 - mmcls - INFO - Epoch [4][100/586] lr: 1.786e-01, eta: 0:57:33, time: 0.111, data_time: 0.007, memory: 2815, loss: 1.3697, top-1: 58.5156, top-5: 84.8438
2023-02-02 22:50:14,325 - mmcls - INFO - Epoch [4][110/586] lr: 1.792e-01, eta: 0:57:28, time: 0.105, data_time: 0.006, memory: 2815, loss: 1.3634, top-1: 58.5938, top-5: 84.5898
2023-02-02 22:50:15,613 - mmcls - INFO - Epoch [4][120/586] lr: 1.798e-01, eta: 0:57:27, time: 0.126, data_time: 0.006, memory: 2815, loss: 1.3381, top-1: 59.5898, top-5: 84.7852
2023-02-02 22:50:17,252 - mmcls - INFO - Epoch [4][130/586] lr: 1.804e-01, eta: 0:57:31, time: 0.161, data_time: 0.009, memory: 2815, loss: 1.3708, top-1: 57.5391, top-5: 84.8828
2023-02-02 22:50:18,750 - mmcls - INFO - Epoch [4][140/586] lr: 1.811e-01, eta: 0:57:33, time: 0.151, data_time: 0.011, memory: 2815, loss: 1.3757, top-1: 58.1445, top-5: 84.4922
2023-02-02 22:50:20,361 - mmcls - INFO - Epoch [4][150/586] lr: 1.817e-01, eta: 0:57:37, time: 0.162, data_time: 0.010, memory: 2815, loss: 1.3281, top-1: 60.0391, top-5: 85.2930
2023-02-02 22:50:21,674 - mmcls - INFO - Epoch [4][160/586] lr: 1.823e-01, eta: 0:57:37, time: 0.132, data_time: 0.010, memory: 2815, loss: 1.3305, top-1: 59.9023, top-5: 85.4688
2023-02-02 22:50:23,074 - mmcls - INFO - Epoch [4][170/586] lr: 1.829e-01, eta: 0:57:38, time: 0.140, data_time: 0.009, memory: 2815, loss: 1.2845, top-1: 60.8594, top-5: 85.3906
2023-02-02 22:50:24,428 - mmcls - INFO - Epoch [4][180/586] lr: 1.836e-01, eta: 0:57:38, time: 0.137, data_time: 0.008, memory: 2815, loss: 1.3522, top-1: 59.4727, top-5: 84.2773
2023-02-02 22:50:25,708 - mmcls - INFO - Epoch [4][190/586] lr: 1.842e-01, eta: 0:57:37, time: 0.127, data_time: 0.007, memory: 2815, loss: 1.3948, top-1: 57.2461, top-5: 83.9258
2023-02-02 22:50:26,246 - mmcls - INFO - Epoch [4][200/586] lr: 1.848e-01, eta: 0:57:26, time: 0.059, data_time: 0.008, memory: 2815, loss: 1.3459, top-1: 59.1406, top-5: 85.2148
2023-02-02 22:50:26,709 - mmcls - INFO - Epoch [4][210/586] lr: 1.854e-01, eta: 0:57:14, time: 0.046, data_time: 0.002, memory: 2815, loss: 1.3077, top-1: 60.3711, top-5: 85.1953
2023-02-02 22:50:27,174 - mmcls - INFO - Epoch [4][220/586] lr: 1.861e-01, eta: 0:57:02, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.3124, top-1: 60.0977, top-5: 84.8828
2023-02-02 22:50:28,078 - mmcls - INFO - Epoch [4][230/586] lr: 1.867e-01, eta: 0:56:55, time: 0.086, data_time: 0.002, memory: 2815, loss: 1.3740, top-1: 58.7109, top-5: 84.0625
2023-02-02 22:50:28,544 - mmcls - INFO - Epoch [4][240/586] lr: 1.873e-01, eta: 0:56:44, time: 0.051, data_time: 0.006, memory: 2815, loss: 1.3275, top-1: 59.2773, top-5: 85.5859
2023-02-02 22:50:29,010 - mmcls - INFO - Epoch [4][250/586] lr: 1.879e-01, eta: 0:56:32, time: 0.047, data_time: 0.003, memory: 2815, loss: 1.3118, top-1: 60.0977, top-5: 85.4102
2023-02-02 22:50:29,473 - mmcls - INFO - Epoch [4][260/586] lr: 1.886e-01, eta: 0:56:20, time: 0.046, data_time: 0.002, memory: 2815, loss: 1.3527, top-1: 58.9844, top-5: 84.7656
2023-02-02 22:50:29,939 - mmcls - INFO - Epoch [4][270/586] lr: 1.892e-01, eta: 0:56:08, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2920, top-1: 60.6055, top-5: 85.4492
2023-02-02 22:50:31,076 - mmcls - INFO - Epoch [4][280/586] lr: 1.898e-01, eta: 0:56:05, time: 0.106, data_time: 0.003, memory: 2815, loss: 1.2796, top-1: 60.9766, top-5: 86.2891
2023-02-02 22:50:32,693 - mmcls - INFO - Epoch [4][290/586] lr: 1.904e-01, eta: 0:56:09, time: 0.162, data_time: 0.010, memory: 2815, loss: 1.2965, top-1: 60.6445, top-5: 85.2539
2023-02-02 22:50:34,213 - mmcls - INFO - Epoch [4][300/586] lr: 1.911e-01, eta: 0:56:11, time: 0.152, data_time: 0.010, memory: 2815, loss: 1.3530, top-1: 59.1992, top-5: 84.5508
2023-02-02 22:50:35,611 - mmcls - INFO - Epoch [4][310/586] lr: 1.917e-01, eta: 0:56:12, time: 0.143, data_time: 0.010, memory: 2815, loss: 1.3060, top-1: 59.7656, top-5: 85.2930
2023-02-02 22:50:36,963 - mmcls - INFO - Epoch [4][320/586] lr: 1.923e-01, eta: 0:56:12, time: 0.135, data_time: 0.007, memory: 2815, loss: 1.3059, top-1: 60.4102, top-5: 85.3516
2023-02-02 22:50:38,478 - mmcls - INFO - Epoch [4][330/586] lr: 1.929e-01, eta: 0:56:15, time: 0.150, data_time: 0.008, memory: 2815, loss: 1.2834, top-1: 60.0391, top-5: 86.5430
2023-02-02 22:50:40,038 - mmcls - INFO - Epoch [4][340/586] lr: 1.936e-01, eta: 0:56:17, time: 0.154, data_time: 0.009, memory: 2815, loss: 1.3247, top-1: 59.4336, top-5: 84.9609
2023-02-02 22:50:41,188 - mmcls - INFO - Epoch [4][350/586] lr: 1.942e-01, eta: 0:56:16, time: 0.120, data_time: 0.011, memory: 2815, loss: 1.3437, top-1: 59.7461, top-5: 84.6484
2023-02-02 22:50:42,200 - mmcls - INFO - Epoch [4][360/586] lr: 1.948e-01, eta: 0:56:11, time: 0.101, data_time: 0.005, memory: 2815, loss: 1.2946, top-1: 59.5312, top-5: 85.7227
2023-02-02 22:50:43,426 - mmcls - INFO - Epoch [4][370/586] lr: 1.954e-01, eta: 0:56:09, time: 0.115, data_time: 0.006, memory: 2815, loss: 1.3387, top-1: 58.6914, top-5: 84.8047
2023-02-02 22:50:44,427 - mmcls - INFO - Epoch [4][380/586] lr: 1.961e-01, eta: 0:56:06, time: 0.108, data_time: 0.013, memory: 2815, loss: 1.3084, top-1: 60.6445, top-5: 85.2734
2023-02-02 22:50:45,471 - mmcls - INFO - Epoch [4][390/586] lr: 1.967e-01, eta: 0:56:02, time: 0.105, data_time: 0.005, memory: 2815, loss: 1.2934, top-1: 60.2734, top-5: 85.8203
2023-02-02 22:50:46,993 - mmcls - INFO - Epoch [4][400/586] lr: 1.973e-01, eta: 0:56:04, time: 0.148, data_time: 0.004, memory: 2815, loss: 1.3015, top-1: 59.8633, top-5: 85.4297
2023-02-02 22:50:48,588 - mmcls - INFO - Epoch [4][410/586] lr: 1.979e-01, eta: 0:56:07, time: 0.160, data_time: 0.009, memory: 2815, loss: 1.2934, top-1: 60.4297, top-5: 86.3281
2023-02-02 22:50:50,208 - mmcls - INFO - Epoch [4][420/586] lr: 1.986e-01, eta: 0:56:10, time: 0.160, data_time: 0.008, memory: 2815, loss: 1.2966, top-1: 60.1758, top-5: 85.5273
2023-02-02 22:50:51,532 - mmcls - INFO - Epoch [4][430/586] lr: 1.992e-01, eta: 0:56:11, time: 0.135, data_time: 0.010, memory: 2815, loss: 1.3249, top-1: 59.4531, top-5: 85.0977
2023-02-02 22:50:52,583 - mmcls - INFO - Epoch [4][440/586] lr: 1.998e-01, eta: 0:56:07, time: 0.106, data_time: 0.007, memory: 2815, loss: 1.2937, top-1: 60.4297, top-5: 85.4492
2023-02-02 22:50:53,958 - mmcls - INFO - Epoch [4][450/586] lr: 2.004e-01, eta: 0:56:08, time: 0.139, data_time: 0.006, memory: 2815, loss: 1.2585, top-1: 61.2695, top-5: 86.2109
2023-02-02 22:50:54,898 - mmcls - INFO - Epoch [4][460/586] lr: 2.011e-01, eta: 0:56:03, time: 0.095, data_time: 0.005, memory: 2815, loss: 1.3266, top-1: 59.5703, top-5: 84.7852
2023-02-02 22:50:56,038 - mmcls - INFO - Epoch [4][470/586] lr: 2.017e-01, eta: 0:56:00, time: 0.111, data_time: 0.004, memory: 2815, loss: 1.2814, top-1: 60.4492, top-5: 85.5859
2023-02-02 22:50:56,528 - mmcls - INFO - Epoch [4][480/586] lr: 2.023e-01, eta: 0:55:50, time: 0.054, data_time: 0.007, memory: 2815, loss: 1.3295, top-1: 60.8398, top-5: 84.5117
2023-02-02 22:50:56,998 - mmcls - INFO - Epoch [4][490/586] lr: 2.029e-01, eta: 0:55:40, time: 0.047, data_time: 0.003, memory: 2815, loss: 1.3143, top-1: 59.8633, top-5: 85.1562
2023-02-02 22:50:57,733 - mmcls - INFO - Epoch [4][500/586] lr: 2.036e-01, eta: 0:55:32, time: 0.066, data_time: 0.002, memory: 2815, loss: 1.2605, top-1: 61.9727, top-5: 85.9375
2023-02-02 22:50:58,591 - mmcls - INFO - Epoch [4][510/586] lr: 2.042e-01, eta: 0:55:26, time: 0.090, data_time: 0.010, memory: 2815, loss: 1.3477, top-1: 59.6094, top-5: 84.8633
2023-02-02 22:50:59,571 - mmcls - INFO - Epoch [4][520/586] lr: 2.048e-01, eta: 0:55:22, time: 0.098, data_time: 0.006, memory: 2815, loss: 1.2490, top-1: 61.3281, top-5: 86.4453
2023-02-02 22:51:00,676 - mmcls - INFO - Epoch [4][530/586] lr: 2.054e-01, eta: 0:55:19, time: 0.108, data_time: 0.006, memory: 2815, loss: 1.3188, top-1: 60.3711, top-5: 84.8242
2023-02-02 22:51:02,280 - mmcls - INFO - Epoch [4][540/586] lr: 2.061e-01, eta: 0:55:22, time: 0.157, data_time: 0.009, memory: 2815, loss: 1.2756, top-1: 60.5273, top-5: 86.1719
2023-02-02 22:51:03,731 - mmcls - INFO - Epoch [4][550/586] lr: 2.067e-01, eta: 0:55:24, time: 0.149, data_time: 0.012, memory: 2815, loss: 1.2423, top-1: 62.2656, top-5: 86.2305
2023-02-02 22:51:05,058 - mmcls - INFO - Epoch [4][560/586] lr: 2.073e-01, eta: 0:55:24, time: 0.133, data_time: 0.008, memory: 2815, loss: 1.2651, top-1: 61.3867, top-5: 85.9766
2023-02-02 22:51:06,441 - mmcls - INFO - Epoch [4][570/586] lr: 2.079e-01, eta: 0:55:24, time: 0.139, data_time: 0.008, memory: 2815, loss: 1.3062, top-1: 60.2539, top-5: 85.5273
2023-02-02 22:51:07,721 - mmcls - INFO - Epoch [4][580/586] lr: 2.086e-01, eta: 0:55:23, time: 0.124, data_time: 0.006, memory: 2815, loss: 1.3340, top-1: 59.7266, top-5: 85.0195
2023-02-02 22:51:08,458 - mmcls - INFO - Saving checkpoint at 4 epochs
2023-02-02 22:51:11,279 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:51:11,280 - mmcls - INFO - Epoch(val) [4][12] acc: 57.9333
2023-02-02 22:51:14,004 - mmcls - INFO - Epoch [5][10/586] lr: 2.096e-01, eta: 0:55:29, time: 0.270, data_time: 0.219, memory: 2815, loss: 1.2991, top-1: 60.5859, top-5: 85.5078
2023-02-02 22:51:14,702 - mmcls - INFO - Epoch [5][20/586] lr: 2.102e-01, eta: 0:55:21, time: 0.062, data_time: 0.003, memory: 2815, loss: 1.3026, top-1: 60.2344, top-5: 85.3125
2023-02-02 22:51:15,852 - mmcls - INFO - Epoch [5][30/586] lr: 2.108e-01, eta: 0:55:20, time: 0.120, data_time: 0.011, memory: 2815, loss: 1.2962, top-1: 60.7227, top-5: 85.7031
2023-02-02 22:51:16,752 - mmcls - INFO - Epoch [5][40/586] lr: 2.114e-01, eta: 0:55:15, time: 0.092, data_time: 0.005, memory: 2815, loss: 1.2599, top-1: 61.7188, top-5: 85.9961
2023-02-02 22:51:17,890 - mmcls - INFO - Epoch [5][50/586] lr: 2.121e-01, eta: 0:55:12, time: 0.111, data_time: 0.003, memory: 2815, loss: 1.2812, top-1: 60.4688, top-5: 86.0742
2023-02-02 22:51:19,548 - mmcls - INFO - Epoch [5][60/586] lr: 2.127e-01, eta: 0:55:15, time: 0.162, data_time: 0.006, memory: 2815, loss: 1.3046, top-1: 60.2148, top-5: 85.9570
2023-02-02 22:51:20,707 - mmcls - INFO - Epoch [5][70/586] lr: 2.133e-01, eta: 0:55:13, time: 0.116, data_time: 0.010, memory: 2815, loss: 1.3008, top-1: 60.4688, top-5: 84.8828
2023-02-02 22:51:22,310 - mmcls - INFO - Epoch [5][80/586] lr: 2.139e-01, eta: 0:55:17, time: 0.163, data_time: 0.009, memory: 2815, loss: 1.2686, top-1: 61.8555, top-5: 86.1719
2023-02-02 22:51:23,710 - mmcls - INFO - Epoch [5][90/586] lr: 2.146e-01, eta: 0:55:17, time: 0.137, data_time: 0.006, memory: 2815, loss: 1.2627, top-1: 61.7383, top-5: 85.7812
2023-02-02 22:51:24,902 - mmcls - INFO - Epoch [5][100/586] lr: 2.152e-01, eta: 0:55:15, time: 0.122, data_time: 0.009, memory: 2815, loss: 1.2378, top-1: 62.1875, top-5: 86.6797
2023-02-02 22:51:25,932 - mmcls - INFO - Epoch [5][110/586] lr: 2.158e-01, eta: 0:55:11, time: 0.098, data_time: 0.006, memory: 2815, loss: 1.2840, top-1: 61.1523, top-5: 85.7227
2023-02-02 22:51:27,141 - mmcls - INFO - Epoch [5][120/586] lr: 2.164e-01, eta: 0:55:11, time: 0.128, data_time: 0.011, memory: 2815, loss: 1.3062, top-1: 60.0391, top-5: 85.2344
2023-02-02 22:51:28,112 - mmcls - INFO - Epoch [5][130/586] lr: 2.171e-01, eta: 0:55:06, time: 0.095, data_time: 0.004, memory: 2815, loss: 1.2923, top-1: 60.5078, top-5: 85.8398
2023-02-02 22:51:29,301 - mmcls - INFO - Epoch [5][140/586] lr: 2.177e-01, eta: 0:55:04, time: 0.116, data_time: 0.007, memory: 2815, loss: 1.2592, top-1: 60.0391, top-5: 86.4844
2023-02-02 22:51:30,942 - mmcls - INFO - Epoch [5][150/586] lr: 2.183e-01, eta: 0:55:07, time: 0.162, data_time: 0.010, memory: 2815, loss: 1.2524, top-1: 61.3086, top-5: 86.0938
2023-02-02 22:51:32,470 - mmcls - INFO - Epoch [5][160/586] lr: 2.189e-01, eta: 0:55:09, time: 0.154, data_time: 0.011, memory: 2815, loss: 1.2641, top-1: 61.2500, top-5: 86.0352
2023-02-02 22:51:33,744 - mmcls - INFO - Epoch [5][170/586] lr: 2.196e-01, eta: 0:55:09, time: 0.127, data_time: 0.010, memory: 2815, loss: 1.2484, top-1: 61.6797, top-5: 86.5820
2023-02-02 22:51:35,225 - mmcls - INFO - Epoch [5][180/586] lr: 2.202e-01, eta: 0:55:10, time: 0.148, data_time: 0.010, memory: 2815, loss: 1.2510, top-1: 61.5820, top-5: 86.7578
2023-02-02 22:51:36,665 - mmcls - INFO - Epoch [5][190/586] lr: 2.208e-01, eta: 0:55:11, time: 0.146, data_time: 0.010, memory: 2815, loss: 1.2691, top-1: 61.0938, top-5: 85.9180
2023-02-02 22:51:38,140 - mmcls - INFO - Epoch [5][200/586] lr: 2.214e-01, eta: 0:55:12, time: 0.146, data_time: 0.008, memory: 2815, loss: 1.2692, top-1: 60.7812, top-5: 86.2695
2023-02-02 22:51:39,574 - mmcls - INFO - Epoch [5][210/586] lr: 2.221e-01, eta: 0:55:13, time: 0.140, data_time: 0.010, memory: 2815, loss: 1.2935, top-1: 60.5078, top-5: 85.8203
2023-02-02 22:51:40,626 - mmcls - INFO - Epoch [5][220/586] lr: 2.227e-01, eta: 0:55:11, time: 0.116, data_time: 0.013, memory: 2815, loss: 1.2324, top-1: 61.9922, top-5: 86.6992
2023-02-02 22:51:41,097 - mmcls - INFO - Epoch [5][230/586] lr: 2.233e-01, eta: 0:55:01, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2580, top-1: 60.6641, top-5: 86.2695
2023-02-02 22:51:41,754 - mmcls - INFO - Epoch [5][240/586] lr: 2.239e-01, eta: 0:54:54, time: 0.061, data_time: 0.003, memory: 2815, loss: 1.3334, top-1: 60.0391, top-5: 85.0195
2023-02-02 22:51:42,581 - mmcls - INFO - Epoch [5][250/586] lr: 2.246e-01, eta: 0:54:49, time: 0.087, data_time: 0.008, memory: 2815, loss: 1.2482, top-1: 61.1914, top-5: 86.5234
2023-02-02 22:51:43,126 - mmcls - INFO - Epoch [5][260/586] lr: 2.252e-01, eta: 0:54:40, time: 0.056, data_time: 0.004, memory: 2815, loss: 1.2196, top-1: 62.5586, top-5: 86.8164
2023-02-02 22:51:43,595 - mmcls - INFO - Epoch [5][270/586] lr: 2.258e-01, eta: 0:54:31, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2381, top-1: 62.2852, top-5: 86.4258
2023-02-02 22:51:44,060 - mmcls - INFO - Epoch [5][280/586] lr: 2.264e-01, eta: 0:54:22, time: 0.046, data_time: 0.002, memory: 2815, loss: 1.2600, top-1: 61.4258, top-5: 85.5859
2023-02-02 22:51:44,547 - mmcls - INFO - Epoch [5][290/586] lr: 2.271e-01, eta: 0:54:14, time: 0.049, data_time: 0.003, memory: 2815, loss: 1.2892, top-1: 60.7031, top-5: 85.5859
2023-02-02 22:51:45,747 - mmcls - INFO - Epoch [5][300/586] lr: 2.277e-01, eta: 0:54:12, time: 0.114, data_time: 0.003, memory: 2815, loss: 1.2269, top-1: 61.8945, top-5: 86.5430
2023-02-02 22:51:47,177 - mmcls - INFO - Epoch [5][310/586] lr: 2.283e-01, eta: 0:54:13, time: 0.143, data_time: 0.008, memory: 2815, loss: 1.3356, top-1: 57.9102, top-5: 85.9180
2023-02-02 22:51:48,733 - mmcls - INFO - Epoch [5][320/586] lr: 2.289e-01, eta: 0:54:15, time: 0.157, data_time: 0.008, memory: 2815, loss: 1.2708, top-1: 61.1719, top-5: 86.2891
2023-02-02 22:51:50,300 - mmcls - INFO - Epoch [5][330/586] lr: 2.296e-01, eta: 0:54:17, time: 0.154, data_time: 0.007, memory: 2815, loss: 1.3038, top-1: 60.6836, top-5: 85.1758
2023-02-02 22:51:51,584 - mmcls - INFO - Epoch [5][340/586] lr: 2.302e-01, eta: 0:54:17, time: 0.131, data_time: 0.009, memory: 2815, loss: 1.2608, top-1: 60.8398, top-5: 86.1719
2023-02-02 22:51:53,151 - mmcls - INFO - Epoch [5][350/586] lr: 2.308e-01, eta: 0:54:19, time: 0.156, data_time: 0.007, memory: 2815, loss: 1.2802, top-1: 61.2500, top-5: 85.7812
2023-02-02 22:51:54,523 - mmcls - INFO - Epoch [5][360/586] lr: 2.314e-01, eta: 0:54:19, time: 0.135, data_time: 0.008, memory: 2815, loss: 1.2808, top-1: 61.0352, top-5: 85.7227
2023-02-02 22:51:56,003 - mmcls - INFO - Epoch [5][370/586] lr: 2.321e-01, eta: 0:54:20, time: 0.148, data_time: 0.010, memory: 2815, loss: 1.2376, top-1: 61.8555, top-5: 86.9336
2023-02-02 22:51:57,009 - mmcls - INFO - Epoch [5][380/586] lr: 2.327e-01, eta: 0:54:17, time: 0.104, data_time: 0.010, memory: 2815, loss: 1.2626, top-1: 61.6992, top-5: 85.9570
2023-02-02 22:51:58,161 - mmcls - INFO - Epoch [5][390/586] lr: 2.333e-01, eta: 0:54:15, time: 0.114, data_time: 0.006, memory: 2815, loss: 1.2768, top-1: 60.8008, top-5: 85.9180
2023-02-02 22:51:59,150 - mmcls - INFO - Epoch [5][400/586] lr: 2.339e-01, eta: 0:54:12, time: 0.101, data_time: 0.007, memory: 2815, loss: 1.2703, top-1: 61.0156, top-5: 85.9766
2023-02-02 22:52:00,096 - mmcls - INFO - Epoch [5][410/586] lr: 2.346e-01, eta: 0:54:08, time: 0.094, data_time: 0.005, memory: 2815, loss: 1.2881, top-1: 60.9766, top-5: 85.4492
2023-02-02 22:52:01,060 - mmcls - INFO - Epoch [5][420/586] lr: 2.352e-01, eta: 0:54:04, time: 0.096, data_time: 0.005, memory: 2815, loss: 1.2599, top-1: 61.1523, top-5: 86.3281
2023-02-02 22:52:02,088 - mmcls - INFO - Epoch [5][430/586] lr: 2.358e-01, eta: 0:54:01, time: 0.102, data_time: 0.006, memory: 2815, loss: 1.3200, top-1: 60.5664, top-5: 84.9805
2023-02-02 22:52:03,062 - mmcls - INFO - Epoch [5][440/586] lr: 2.364e-01, eta: 0:53:57, time: 0.098, data_time: 0.006, memory: 2815, loss: 1.2930, top-1: 60.3711, top-5: 86.0547
2023-02-02 22:52:03,991 - mmcls - INFO - Epoch [5][450/586] lr: 2.371e-01, eta: 0:53:53, time: 0.093, data_time: 0.006, memory: 2815, loss: 1.2440, top-1: 62.0703, top-5: 86.3867
2023-02-02 22:52:04,964 - mmcls - INFO - Epoch [5][460/586] lr: 2.377e-01, eta: 0:53:50, time: 0.096, data_time: 0.005, memory: 2815, loss: 1.2583, top-1: 61.7383, top-5: 86.3281
2023-02-02 22:52:05,775 - mmcls - INFO - Epoch [5][470/586] lr: 2.383e-01, eta: 0:53:45, time: 0.085, data_time: 0.007, memory: 2815, loss: 1.2452, top-1: 61.7188, top-5: 86.6406
2023-02-02 22:52:06,248 - mmcls - INFO - Epoch [5][480/586] lr: 2.389e-01, eta: 0:53:37, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2914, top-1: 60.3906, top-5: 85.5469
2023-02-02 22:52:06,728 - mmcls - INFO - Epoch [5][490/586] lr: 2.396e-01, eta: 0:53:29, time: 0.048, data_time: 0.002, memory: 2815, loss: 1.2285, top-1: 62.5000, top-5: 87.1484
2023-02-02 22:52:07,199 - mmcls - INFO - Epoch [5][500/586] lr: 2.402e-01, eta: 0:53:20, time: 0.047, data_time: 0.003, memory: 2815, loss: 1.2303, top-1: 62.9492, top-5: 86.3867
2023-02-02 22:52:07,938 - mmcls - INFO - Epoch [5][510/586] lr: 2.408e-01, eta: 0:53:15, time: 0.074, data_time: 0.003, memory: 2815, loss: 1.2297, top-1: 62.1680, top-5: 86.8164
2023-02-02 22:52:08,408 - mmcls - INFO - Epoch [5][520/586] lr: 2.414e-01, eta: 0:53:07, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2126, top-1: 62.8320, top-5: 86.7383
2023-02-02 22:52:08,880 - mmcls - INFO - Epoch [5][530/586] lr: 2.421e-01, eta: 0:52:59, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2154, top-1: 63.1055, top-5: 86.9336
2023-02-02 22:52:09,355 - mmcls - INFO - Epoch [5][540/586] lr: 2.427e-01, eta: 0:52:51, time: 0.047, data_time: 0.003, memory: 2815, loss: 1.2365, top-1: 62.5391, top-5: 86.3086
2023-02-02 22:52:09,856 - mmcls - INFO - Epoch [5][550/586] lr: 2.433e-01, eta: 0:52:43, time: 0.047, data_time: 0.003, memory: 2815, loss: 1.2617, top-1: 61.3672, top-5: 85.5469
2023-02-02 22:52:10,882 - mmcls - INFO - Epoch [5][560/586] lr: 2.439e-01, eta: 0:52:40, time: 0.101, data_time: 0.005, memory: 2815, loss: 1.2973, top-1: 61.2500, top-5: 84.4922
2023-02-02 22:52:11,942 - mmcls - INFO - Epoch [5][570/586] lr: 2.446e-01, eta: 0:52:38, time: 0.108, data_time: 0.007, memory: 2815, loss: 1.2318, top-1: 61.4258, top-5: 86.9922
2023-02-02 22:52:12,946 - mmcls - INFO - Epoch [5][580/586] lr: 2.452e-01, eta: 0:52:35, time: 0.099, data_time: 0.004, memory: 2815, loss: 1.2514, top-1: 61.2305, top-5: 85.9570
2023-02-02 22:52:13,475 - mmcls - INFO - Saving checkpoint at 5 epochs
2023-02-02 22:52:16,258 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:52:16,259 - mmcls - INFO - Epoch(val) [5][12] acc: 60.4500
2023-02-02 22:52:19,019 - mmcls - INFO - Epoch [6][10/586] lr: 2.462e-01, eta: 0:52:40, time: 0.274, data_time: 0.217, memory: 2815, loss: 1.2343, top-1: 62.8711, top-5: 86.2109
2023-02-02 22:52:19,492 - mmcls - INFO - Epoch [6][20/586] lr: 2.468e-01, eta: 0:52:33, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2829, top-1: 61.5039, top-5: 85.5078
2023-02-02 22:52:19,954 - mmcls - INFO - Epoch [6][30/586] lr: 2.474e-01, eta: 0:52:25, time: 0.046, data_time: 0.002, memory: 2815, loss: 1.2775, top-1: 61.2305, top-5: 85.5469
2023-02-02 22:52:20,690 - mmcls - INFO - Epoch [6][40/586] lr: 2.481e-01, eta: 0:52:20, time: 0.074, data_time: 0.002, memory: 2815, loss: 1.2266, top-1: 62.4805, top-5: 86.9922
2023-02-02 22:52:21,167 - mmcls - INFO - Epoch [6][50/586] lr: 2.487e-01, eta: 0:52:12, time: 0.048, data_time: 0.002, memory: 2815, loss: 1.3084, top-1: 60.2148, top-5: 85.5273
2023-02-02 22:52:21,642 - mmcls - INFO - Epoch [6][60/586] lr: 2.493e-01, eta: 0:52:05, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2844, top-1: 60.5859, top-5: 86.1328
2023-02-02 22:52:22,111 - mmcls - INFO - Epoch [6][70/586] lr: 2.499e-01, eta: 0:51:57, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2918, top-1: 61.1914, top-5: 85.1562
2023-02-02 22:52:22,580 - mmcls - INFO - Epoch [6][80/586] lr: 2.500e-01, eta: 0:51:50, time: 0.047, data_time: 0.002, memory: 2815, loss: 1.2789, top-1: 60.5273, top-5: 86.3672
2023-02-02 22:52:23,500 - mmcls - INFO - Epoch [6][90/586] lr: 2.500e-01, eta: 0:51:46, time: 0.088, data_time: 0.002, memory: 2815, loss: 1.3215, top-1: 59.5703, top-5: 85.0781
2023-02-02 22:52:24,459 - mmcls - INFO - Epoch [6][100/586] lr: 2.500e-01, eta: 0:51:43, time: 0.097, data_time: 0.007, memory: 2815, loss: 1.3085, top-1: 61.1133, top-5: 85.2930
2023-02-02 22:52:25,432 - mmcls - INFO - Epoch [6][110/586] lr: 2.500e-01, eta: 0:51:40, time: 0.099, data_time: 0.006, memory: 2815, loss: 1.2746, top-1: 61.3867, top-5: 85.6641
2023-02-02 22:52:26,412 - mmcls - INFO - Epoch [6][120/586] lr: 2.500e-01, eta: 0:51:37, time: 0.098, data_time: 0.004, memory: 2815, loss: 1.2450, top-1: 61.6797, top-5: 85.8594
2023-02-02 22:52:27,437 - mmcls - INFO - Epoch [6][130/586] lr: 2.500e-01, eta: 0:51:35, time: 0.100, data_time: 0.004, memory: 2815, loss: 1.2974, top-1: 61.1914, top-5: 85.2734
2023-02-02 22:52:28,472 - mmcls - INFO - Epoch [6][140/586] lr: 2.500e-01, eta: 0:51:32, time: 0.104, data_time: 0.007, memory: 2815, loss: 1.2499, top-1: 61.4062, top-5: 86.5625
2023-02-02 22:52:29,521 - mmcls - INFO - Epoch [6][150/586] lr: 2.500e-01, eta: 0:51:30, time: 0.105, data_time: 0.006, memory: 2815, loss: 1.2077, top-1: 63.3984, top-5: 86.5039
2023-02-02 22:52:30,564 - mmcls - INFO - Epoch [6][160/586] lr: 2.500e-01, eta: 0:51:28, time: 0.104, data_time: 0.006, memory: 2815, loss: 1.2302, top-1: 62.2656, top-5: 86.3086
2023-02-02 22:52:31,621 - mmcls - INFO - Epoch [6][170/586] lr: 2.500e-01, eta: 0:51:25, time: 0.104, data_time: 0.006, memory: 2815, loss: 1.2149, top-1: 62.7734, top-5: 86.9141
2023-02-02 22:52:32,590 - mmcls - INFO - Epoch [6][180/586] lr: 2.500e-01, eta: 0:51:22, time: 0.100, data_time: 0.008, memory: 2815, loss: 1.2387, top-1: 61.9141, top-5: 86.8945
2023-02-02 22:52:33,541 - mmcls - INFO - Epoch [6][190/586] lr: 2.500e-01, eta: 0:51:19, time: 0.096, data_time: 0.005, memory: 2815, loss: 1.2101, top-1: 63.1055, top-5: 86.8750
2023-02-02 22:52:34,552 - mmcls - INFO - Epoch [6][200/586] lr: 2.500e-01, eta: 0:51:17, time: 0.097, data_time: 0.004, memory: 2815, loss: 1.2396, top-1: 61.9922, top-5: 86.2891
2023-02-02 22:52:35,537 - mmcls - INFO - Epoch [6][210/586] lr: 2.500e-01, eta: 0:51:14, time: 0.101, data_time: 0.009, memory: 2815, loss: 1.2210, top-1: 62.9492, top-5: 86.6602
2023-02-02 22:52:36,633 - mmcls - INFO - Epoch [6][220/586] lr: 2.500e-01, eta: 0:51:12, time: 0.109, data_time: 0.006, memory: 2815, loss: 1.2326, top-1: 61.6602, top-5: 86.9531
2023-02-02 22:52:37,571 - mmcls - INFO - Epoch [6][230/586] lr: 2.500e-01, eta: 0:51:09, time: 0.096, data_time: 0.006, memory: 2815, loss: 1.3230, top-1: 60.0000, top-5: 84.8438
2023-02-02 22:52:38,558 - mmcls - INFO - Epoch [6][240/586] lr: 2.500e-01, eta: 0:51:06, time: 0.097, data_time: 0.004, memory: 2815, loss: 1.2529, top-1: 62.1484, top-5: 85.5469
2023-02-02 22:52:39,542 - mmcls - INFO - Epoch [6][250/586] lr: 2.500e-01, eta: 0:51:03, time: 0.096, data_time: 0.006, memory: 2815, loss: 1.2227, top-1: 62.5195, top-5: 87.0312
2023-02-02 22:52:40,148 - mmcls - INFO - Epoch [6][260/586] lr: 2.500e-01, eta: 0:50:58, time: 0.066, data_time: 0.008, memory: 2815, loss: 1.2697, top-1: 60.8789, top-5: 85.8594
2023-02-02 22:52:40,634 - mmcls - INFO - Epoch [6][270/586] lr: 2.500e-01, eta: 0:50:51, time: 0.049, data_time: 0.003, memory: 2815, loss: 1.2877, top-1: 60.6250, top-5: 85.7227
2023-02-02 22:52:41,128 - mmcls - INFO - Epoch [6][280/586] lr: 2.500e-01, eta: 0:50:45, time: 0.049, data_time: 0.002, memory: 2815, loss: 1.2132, top-1: 62.7734, top-5: 86.9336
2023-02-02 22:52:41,824 - mmcls - INFO - Epoch [6][290/586] lr: 2.500e-01, eta: 0:50:40, time: 0.069, data_time: 0.003, memory: 2815, loss: 1.2067, top-1: 62.6758, top-5: 86.7578
2023-02-02 22:52:42,463 - mmcls - INFO - Epoch [6][300/586] lr: 2.500e-01, eta: 0:50:34, time: 0.066, data_time: 0.003, memory: 2815, loss: 1.2180, top-1: 62.9688, top-5: 85.9375
2023-02-02 22:52:43,056 - mmcls - INFO - Epoch [6][310/586] lr: 2.500e-01, eta: 0:50:28, time: 0.059, data_time: 0.002, memory: 2815, loss: 1.2729, top-1: 61.2305, top-5: 86.0156
2023-02-02 22:52:43,591 - mmcls - INFO - Epoch [6][320/586] lr: 2.500e-01, eta: 0:50:22, time: 0.053, data_time: 0.002, memory: 2815, loss: 1.2163, top-1: 62.1875, top-5: 87.0703
2023-02-02 22:52:44,082 - mmcls - INFO - Epoch [6][330/586] lr: 2.500e-01, eta: 0:50:16, time: 0.049, data_time: 0.003, memory: 2815, loss: 1.2372, top-1: 62.5977, top-5: 85.9375
2023-02-02 22:52:45,215 - mmcls - INFO - Epoch [6][340/586] lr: 2.500e-01, eta: 0:50:14, time: 0.110, data_time: 0.003, memory: 2815, loss: 1.2010, top-1: 63.1250, top-5: 87.2070
2023-02-02 22:52:46,226 - mmcls - INFO - Epoch [6][350/586] lr: 2.500e-01, eta: 0:50:12, time: 0.101, data_time: 0.005, memory: 2815, loss: 1.2150, top-1: 62.1875, top-5: 86.9922
2023-02-02 22:52:47,274 - mmcls - INFO - Epoch [6][360/586] lr: 2.500e-01, eta: 0:50:10, time: 0.106, data_time: 0.006, memory: 2815, loss: 1.2231, top-1: 62.6758, top-5: 86.6211
2023-02-02 22:52:48,351 - mmcls - INFO - Epoch [6][370/586] lr: 2.500e-01, eta: 0:50:08, time: 0.106, data_time: 0.004, memory: 2815, loss: 1.2329, top-1: 61.8555, top-5: 86.5039
2023-02-02 22:52:49,401 - mmcls - INFO - Epoch [6][380/586] lr: 2.500e-01, eta: 0:50:06, time: 0.104, data_time: 0.006, memory: 2815, loss: 1.2124, top-1: 62.6953, top-5: 86.7969
2023-02-02 22:52:50,424 - mmcls - INFO - Epoch [6][390/586] lr: 2.500e-01, eta: 0:50:04, time: 0.103, data_time: 0.006, memory: 2815, loss: 1.2218, top-1: 61.8164, top-5: 87.1289
2023-02-02 22:52:51,447 - mmcls - INFO - Epoch [6][400/586] lr: 2.500e-01, eta: 0:50:02, time: 0.102, data_time: 0.006, memory: 2815, loss: 1.2410, top-1: 61.6406, top-5: 86.3477
2023-02-02 22:52:52,449 - mmcls - INFO - Epoch [6][410/586] lr: 2.500e-01, eta: 0:49:59, time: 0.100, data_time: 0.006, memory: 2815, loss: 1.2376, top-1: 62.4023, top-5: 86.1133
2023-02-02 22:52:53,459 - mmcls - INFO - Epoch [6][420/586] lr: 2.500e-01, eta: 0:49:57, time: 0.102, data_time: 0.006, memory: 2815, loss: 1.2010, top-1: 63.1055, top-5: 87.0508
2023-02-02 22:52:54,637 - mmcls - INFO - Epoch [6][430/586] lr: 2.500e-01, eta: 0:49:56, time: 0.111, data_time: 0.005, memory: 2815, loss: 1.2899, top-1: 60.5859, top-5: 85.8789
2023-02-02 22:52:56,128 - mmcls - INFO - Epoch [6][440/586] lr: 2.500e-01, eta: 0:49:57, time: 0.152, data_time: 0.012, memory: 2815, loss: 1.2241, top-1: 62.8711, top-5: 85.9375
2023-02-02 22:52:57,411 - mmcls - INFO - Epoch [6][450/586] lr: 2.500e-01, eta: 0:49:57, time: 0.130, data_time: 0.009, memory: 2815, loss: 1.2607, top-1: 62.1875, top-5: 85.5664
2023-02-02 22:52:58,827 - mmcls - INFO - Epoch [6][460/586] lr: 2.500e-01, eta: 0:49:58, time: 0.143, data_time: 0.008, memory: 2815, loss: 1.2384, top-1: 62.3438, top-5: 86.4062
2023-02-02 22:53:00,247 - mmcls - INFO - Epoch [6][470/586] lr: 2.500e-01, eta: 0:49:59, time: 0.141, data_time: 0.007, memory: 2815, loss: 1.1960, top-1: 63.8477, top-5: 87.1680
2023-02-02 22:53:01,281 - mmcls - INFO - Epoch [6][480/586] lr: 2.500e-01, eta: 0:49:57, time: 0.105, data_time: 0.008, memory: 2815, loss: 1.2190, top-1: 62.9883, top-5: 86.7969
2023-02-02 22:53:02,557 - mmcls - INFO - Epoch [6][490/586] lr: 2.500e-01, eta: 0:49:56, time: 0.127, data_time: 0.006, memory: 2815, loss: 1.1904, top-1: 63.9844, top-5: 86.8164
2023-02-02 22:53:04,153 - mmcls - INFO - Epoch [6][500/586] lr: 2.500e-01, eta: 0:49:58, time: 0.157, data_time: 0.007, memory: 2815, loss: 1.2211, top-1: 62.2461, top-5: 87.0117
2023-02-02 22:53:05,224 - mmcls - INFO - Epoch [6][510/586] lr: 2.500e-01, eta: 0:49:57, time: 0.114, data_time: 0.010, memory: 2815, loss: 1.2505, top-1: 62.2070, top-5: 85.8984
2023-02-02 22:53:05,931 - mmcls - INFO - Epoch [6][520/586] lr: 2.500e-01, eta: 0:49:52, time: 0.070, data_time: 0.003, memory: 2815, loss: 1.2395, top-1: 61.8750, top-5: 86.4844
2023-02-02 22:53:06,729 - mmcls - INFO - Epoch [6][530/586] lr: 2.500e-01, eta: 0:49:48, time: 0.076, data_time: 0.004, memory: 2815, loss: 1.2046, top-1: 63.2227, top-5: 86.9336
2023-02-02 22:53:07,642 - mmcls - INFO - Epoch [6][540/586] lr: 2.500e-01, eta: 0:49:46, time: 0.096, data_time: 0.008, memory: 2815, loss: 1.2307, top-1: 62.0312, top-5: 86.7578
2023-02-02 22:53:08,391 - mmcls - INFO - Epoch [6][550/586] lr: 2.500e-01, eta: 0:49:42, time: 0.074, data_time: 0.003, memory: 2815, loss: 1.2181, top-1: 62.6367, top-5: 86.8750
2023-02-02 22:53:09,112 - mmcls - INFO - Epoch [6][560/586] lr: 2.500e-01, eta: 0:49:37, time: 0.072, data_time: 0.004, memory: 2815, loss: 1.2117, top-1: 64.1602, top-5: 86.7578
2023-02-02 22:53:10,486 - mmcls - INFO - Epoch [6][570/586] lr: 2.500e-01, eta: 0:49:37, time: 0.134, data_time: 0.004, memory: 2815, loss: 1.1954, top-1: 63.3594, top-5: 87.0898
2023-02-02 22:53:11,630 - mmcls - INFO - Epoch [6][580/586] lr: 2.500e-01, eta: 0:49:36, time: 0.114, data_time: 0.007, memory: 2815, loss: 1.2378, top-1: 62.3242, top-5: 85.8789
2023-02-02 22:53:12,282 - mmcls - INFO - Saving checkpoint at 6 epochs
2023-02-02 22:53:15,198 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:53:15,199 - mmcls - INFO - Epoch(val) [6][12] acc: 56.3500
2023-02-02 22:53:18,830 - mmcls - INFO - Epoch [7][10/586] lr: 2.500e-01, eta: 0:49:47, time: 0.358, data_time: 0.222, memory: 2815, loss: 1.2089, top-1: 63.1641, top-5: 86.6992
2023-02-02 22:53:20,261 - mmcls - INFO - Epoch [7][20/586] lr: 2.500e-01, eta: 0:49:48, time: 0.143, data_time: 0.005, memory: 2815, loss: 1.1869, top-1: 63.5156, top-5: 86.9922
2023-02-02 22:53:21,702 - mmcls - INFO - Epoch [7][30/586] lr: 2.500e-01, eta: 0:49:48, time: 0.139, data_time: 0.005, memory: 2815, loss: 1.2174, top-1: 63.4570, top-5: 86.2109
2023-02-02 22:53:23,110 - mmcls - INFO - Epoch [7][40/586] lr: 2.500e-01, eta: 0:49:49, time: 0.143, data_time: 0.010, memory: 2815, loss: 1.1761, top-1: 63.3398, top-5: 87.5977
2023-02-02 22:53:24,758 - mmcls - INFO - Epoch [7][50/586] lr: 2.500e-01, eta: 0:49:52, time: 0.167, data_time: 0.008, memory: 2815, loss: 1.2264, top-1: 62.8320, top-5: 86.1719
2023-02-02 22:53:26,184 - mmcls - INFO - Epoch [7][60/586] lr: 2.500e-01, eta: 0:49:52, time: 0.139, data_time: 0.006, memory: 2815, loss: 1.2253, top-1: 62.7344, top-5: 86.4648
2023-02-02 22:53:27,539 - mmcls - INFO - Epoch [7][70/586] lr: 2.500e-01, eta: 0:49:52, time: 0.135, data_time: 0.010, memory: 2815, loss: 1.2053, top-1: 62.5586, top-5: 87.7539
2023-02-02 22:53:29,059 - mmcls - INFO - Epoch [7][80/586] lr: 2.500e-01, eta: 0:49:54, time: 0.152, data_time: 0.010, memory: 2815, loss: 1.2961, top-1: 60.6055, top-5: 85.6641
2023-02-02 22:53:29,605 - mmcls - INFO - Epoch [7][90/586] lr: 2.500e-01, eta: 0:49:49, time: 0.062, data_time: 0.009, memory: 2815, loss: 1.2165, top-1: 62.8125, top-5: 86.7578
2023-02-02 22:53:30,841 - mmcls - INFO - Epoch [7][100/586] lr: 2.500e-01, eta: 0:49:48, time: 0.118, data_time: 0.003, memory: 2815, loss: 1.2133, top-1: 63.0078, top-5: 86.8359
2023-02-02 22:53:32,069 - mmcls - INFO - Epoch [7][110/586] lr: 2.500e-01, eta: 0:49:47, time: 0.124, data_time: 0.008, memory: 2815, loss: 1.1969, top-1: 63.7305, top-5: 86.6992
2023-02-02 22:53:33,721 - mmcls - INFO - Epoch [7][120/586] lr: 2.500e-01, eta: 0:49:49, time: 0.161, data_time: 0.007, memory: 2815, loss: 1.1682, top-1: 64.7852, top-5: 87.3047
2023-02-02 22:53:35,571 - mmcls - INFO - Epoch [7][130/586] lr: 2.500e-01, eta: 0:49:52, time: 0.184, data_time: 0.011, memory: 2815, loss: 1.2296, top-1: 62.5391, top-5: 86.2109
2023-02-02 22:53:37,616 - mmcls - INFO - Epoch [7][140/586] lr: 2.500e-01, eta: 0:49:57, time: 0.200, data_time: 0.012, memory: 2815, loss: 1.1768, top-1: 63.7695, top-5: 87.2852
2023-02-02 22:53:39,537 - mmcls - INFO - Epoch [7][150/586] lr: 2.500e-01, eta: 0:50:02, time: 0.198, data_time: 0.016, memory: 2815, loss: 1.2023, top-1: 63.9258, top-5: 86.7773
2023-02-02 22:53:41,421 - mmcls - INFO - Epoch [7][160/586] lr: 2.500e-01, eta: 0:50:05, time: 0.188, data_time: 0.010, memory: 2815, loss: 1.2120, top-1: 62.9492, top-5: 86.9141
2023-02-02 22:53:43,285 - mmcls - INFO - Epoch [7][170/586] lr: 2.500e-01, eta: 0:50:09, time: 0.186, data_time: 0.010, memory: 2815, loss: 1.1907, top-1: 62.9297, top-5: 87.2656
2023-02-02 22:53:45,199 - mmcls - INFO - Epoch [7][180/586] lr: 2.500e-01, eta: 0:50:13, time: 0.191, data_time: 0.010, memory: 2815, loss: 1.1844, top-1: 64.0039, top-5: 87.3438
2023-02-02 22:53:47,028 - mmcls - INFO - Epoch [7][190/586] lr: 2.500e-01, eta: 0:50:16, time: 0.182, data_time: 0.011, memory: 2815, loss: 1.2341, top-1: 61.7773, top-5: 86.6211
2023-02-02 22:53:48,808 - mmcls - INFO - Epoch [7][200/586] lr: 2.500e-01, eta: 0:50:19, time: 0.178, data_time: 0.011, memory: 2815, loss: 1.2626, top-1: 61.4844, top-5: 86.4062
2023-02-02 22:53:50,685 - mmcls - INFO - Epoch [7][210/586] lr: 2.500e-01, eta: 0:50:23, time: 0.189, data_time: 0.011, memory: 2815, loss: 1.2514, top-1: 61.5039, top-5: 86.5039
2023-02-02 22:53:52,494 - mmcls - INFO - Epoch [7][220/586] lr: 2.500e-01, eta: 0:50:26, time: 0.181, data_time: 0.011, memory: 2815, loss: 1.2195, top-1: 62.8516, top-5: 86.7773
2023-02-02 22:53:54,322 - mmcls - INFO - Epoch [7][230/586] lr: 2.500e-01, eta: 0:50:29, time: 0.183, data_time: 0.010, memory: 2815, loss: 1.2054, top-1: 62.6367, top-5: 86.6211
2023-02-02 22:53:56,216 - mmcls - INFO - Epoch [7][240/586] lr: 2.500e-01, eta: 0:50:33, time: 0.187, data_time: 0.009, memory: 2815, loss: 1.1841, top-1: 64.2383, top-5: 86.5039
2023-02-02 22:53:58,129 - mmcls - INFO - Epoch [7][250/586] lr: 2.500e-01, eta: 0:50:37, time: 0.193, data_time: 0.011, memory: 2815, loss: 1.1826, top-1: 63.7891, top-5: 87.1094
2023-02-02 22:53:59,892 - mmcls - INFO - Epoch [7][260/586] lr: 2.500e-01, eta: 0:50:39, time: 0.176, data_time: 0.010, memory: 2815, loss: 1.2068, top-1: 62.7148, top-5: 86.9141
2023-02-02 22:54:01,928 - mmcls - INFO - Epoch [7][270/586] lr: 2.500e-01, eta: 0:50:44, time: 0.204, data_time: 0.011, memory: 2815, loss: 1.2176, top-1: 62.4609, top-5: 86.8359
2023-02-02 22:54:03,875 - mmcls - INFO - Epoch [7][280/586] lr: 2.500e-01, eta: 0:50:48, time: 0.196, data_time: 0.010, memory: 2815, loss: 1.1894, top-1: 63.5352, top-5: 87.8320
2023-02-02 22:54:05,737 - mmcls - INFO - Epoch [7][290/586] lr: 2.500e-01, eta: 0:50:51, time: 0.183, data_time: 0.009, memory: 2815, loss: 1.1484, top-1: 64.3164, top-5: 87.8320
2023-02-02 22:54:07,363 - mmcls - INFO - Epoch [7][300/586] lr: 2.500e-01, eta: 0:50:53, time: 0.167, data_time: 0.012, memory: 2815, loss: 1.1959, top-1: 63.7305, top-5: 86.7773
2023-02-02 22:54:08,790 - mmcls - INFO - Epoch [7][310/586] lr: 2.500e-01, eta: 0:50:53, time: 0.140, data_time: 0.007, memory: 2815, loss: 1.1991, top-1: 63.3984, top-5: 86.5430
2023-02-02 22:54:10,131 - mmcls - INFO - Epoch [7][320/586] lr: 2.500e-01, eta: 0:50:53, time: 0.137, data_time: 0.011, memory: 2815, loss: 1.1864, top-1: 63.8086, top-5: 86.8555
2023-02-02 22:54:11,597 - mmcls - INFO - Epoch [7][330/586] lr: 2.500e-01, eta: 0:50:53, time: 0.142, data_time: 0.008, memory: 2815, loss: 1.1866, top-1: 63.7891, top-5: 87.4023
2023-02-02 22:54:13,449 - mmcls - INFO - Epoch [7][340/586] lr: 2.500e-01, eta: 0:50:56, time: 0.185, data_time: 0.012, memory: 2815, loss: 1.1435, top-1: 64.9805, top-5: 88.1641
2023-02-02 22:54:15,357 - mmcls - INFO - Epoch [7][350/586] lr: 2.500e-01, eta: 0:51:00, time: 0.189, data_time: 0.012, memory: 2815, loss: 1.1394, top-1: 65.0977, top-5: 87.3828
2023-02-02 22:54:17,292 - mmcls - INFO - Epoch [7][360/586] lr: 2.500e-01, eta: 0:51:03, time: 0.195, data_time: 0.013, memory: 2815, loss: 1.2133, top-1: 61.8555, top-5: 87.0703
2023-02-02 22:54:19,270 - mmcls - INFO - Epoch [7][370/586] lr: 2.500e-01, eta: 0:51:07, time: 0.197, data_time: 0.012, memory: 2815, loss: 1.1786, top-1: 63.1641, top-5: 87.9102
2023-02-02 22:54:21,163 - mmcls - INFO - Epoch [7][380/586] lr: 2.500e-01, eta: 0:51:10, time: 0.189, data_time: 0.012, memory: 2815, loss: 1.1831, top-1: 63.0664, top-5: 87.5000
2023-02-02 22:54:23,284 - mmcls - INFO - Epoch [7][390/586] lr: 2.500e-01, eta: 0:51:15, time: 0.215, data_time: 0.013, memory: 2815, loss: 1.1854, top-1: 63.6328, top-5: 86.9531
2023-02-02 22:54:25,131 - mmcls - INFO - Epoch [7][400/586] lr: 2.500e-01, eta: 0:51:18, time: 0.183, data_time: 0.009, memory: 2815, loss: 1.2392, top-1: 62.8516, top-5: 85.3906
2023-02-02 22:54:26,984 - mmcls - INFO - Epoch [7][410/586] lr: 2.500e-01, eta: 0:51:21, time: 0.185, data_time: 0.011, memory: 2815, loss: 1.1920, top-1: 62.8516, top-5: 87.2266
2023-02-02 22:54:28,890 - mmcls - INFO - Epoch [7][420/586] lr: 2.500e-01, eta: 0:51:24, time: 0.190, data_time: 0.011, memory: 2815, loss: 1.1836, top-1: 63.6133, top-5: 86.9922
2023-02-02 22:54:30,711 - mmcls - INFO - Epoch [7][430/586] lr: 2.500e-01, eta: 0:51:27, time: 0.181, data_time: 0.012, memory: 2815, loss: 1.2305, top-1: 62.0117, top-5: 86.6602
2023-02-02 22:54:32,634 - mmcls - INFO - Epoch [7][440/586] lr: 2.500e-01, eta: 0:51:30, time: 0.195, data_time: 0.012, memory: 2815, loss: 1.2555, top-1: 62.7930, top-5: 86.0547
2023-02-02 22:54:34,414 - mmcls - INFO - Epoch [7][450/586] lr: 2.500e-01, eta: 0:51:33, time: 0.178, data_time: 0.010, memory: 2815, loss: 1.2080, top-1: 62.7344, top-5: 86.9141
2023-02-02 22:54:36,430 - mmcls - INFO - Epoch [7][460/586] lr: 2.500e-01, eta: 0:51:36, time: 0.199, data_time: 0.010, memory: 2815, loss: 1.1844, top-1: 63.8672, top-5: 87.1289
2023-02-02 22:54:38,202 - mmcls - INFO - Epoch [7][470/586] lr: 2.500e-01, eta: 0:51:39, time: 0.179, data_time: 0.013, memory: 2815, loss: 1.1332, top-1: 65.3320, top-5: 87.5000
2023-02-02 22:54:40,053 - mmcls - INFO - Epoch [7][480/586] lr: 2.500e-01, eta: 0:51:41, time: 0.186, data_time: 0.011, memory: 2815, loss: 1.1675, top-1: 64.7461, top-5: 86.9922
2023-02-02 22:54:41,855 - mmcls - INFO - Epoch [7][490/586] lr: 2.500e-01, eta: 0:51:44, time: 0.181, data_time: 0.010, memory: 2815, loss: 1.1696, top-1: 64.6094, top-5: 87.5195
2023-02-02 22:54:43,676 - mmcls - INFO - Epoch [7][500/586] lr: 2.500e-01, eta: 0:51:46, time: 0.181, data_time: 0.009, memory: 2815, loss: 1.1873, top-1: 63.4570, top-5: 87.0312
2023-02-02 22:54:45,579 - mmcls - INFO - Epoch [7][510/586] lr: 2.500e-01, eta: 0:51:49, time: 0.189, data_time: 0.010, memory: 2815, loss: 1.1743, top-1: 63.1641, top-5: 87.7734
2023-02-02 22:54:47,011 - mmcls - INFO - Epoch [7][520/586] lr: 2.500e-01, eta: 0:51:50, time: 0.148, data_time: 0.012, memory: 2815, loss: 1.2278, top-1: 62.5000, top-5: 86.7188
2023-02-02 22:54:48,507 - mmcls - INFO - Epoch [7][530/586] lr: 2.500e-01, eta: 0:51:50, time: 0.144, data_time: 0.008, memory: 2815, loss: 1.1823, top-1: 64.0234, top-5: 86.8555
2023-02-02 22:54:49,851 - mmcls - INFO - Epoch [7][540/586] lr: 2.500e-01, eta: 0:51:50, time: 0.140, data_time: 0.013, memory: 2815, loss: 1.1696, top-1: 64.1797, top-5: 87.6172
2023-02-02 22:54:51,464 - mmcls - INFO - Epoch [7][550/586] lr: 2.500e-01, eta: 0:51:50, time: 0.156, data_time: 0.007, memory: 2815, loss: 1.1471, top-1: 63.9453, top-5: 87.9297
2023-02-02 22:54:53,304 - mmcls - INFO - Epoch [7][560/586] lr: 2.500e-01, eta: 0:51:53, time: 0.187, data_time: 0.012, memory: 2815, loss: 1.1642, top-1: 63.7891, top-5: 87.7930
2023-02-02 22:54:55,294 - mmcls - INFO - Epoch [7][570/586] lr: 2.500e-01, eta: 0:51:56, time: 0.195, data_time: 0.010, memory: 2815, loss: 1.1513, top-1: 64.1406, top-5: 87.8125
2023-02-02 22:54:57,130 - mmcls - INFO - Epoch [7][580/586] lr: 2.500e-01, eta: 0:51:59, time: 0.186, data_time: 0.013, memory: 2815, loss: 1.1696, top-1: 64.0039, top-5: 87.2656
2023-02-02 22:54:58,148 - mmcls - INFO - Saving checkpoint at 7 epochs
2023-02-02 22:55:01,166 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:55:01,167 - mmcls - INFO - Epoch(val) [7][12] acc: 59.2000
2023-02-02 22:55:05,366 - mmcls - INFO - Epoch [8][10/586] lr: 2.500e-01, eta: 0:52:10, time: 0.410, data_time: 0.219, memory: 2815, loss: 1.1486, top-1: 65.0000, top-5: 87.6172
2023-02-02 22:55:07,192 - mmcls - INFO - Epoch [8][20/586] lr: 2.500e-01, eta: 0:52:12, time: 0.182, data_time: 0.010, memory: 2815, loss: 1.1759, top-1: 63.7305, top-5: 87.3828
2023-02-02 22:55:09,121 - mmcls - INFO - Epoch [8][30/586] lr: 2.500e-01, eta: 0:52:15, time: 0.191, data_time: 0.011, memory: 2815, loss: 1.1563, top-1: 64.1406, top-5: 87.9492
2023-02-02 22:55:10,998 - mmcls - INFO - Epoch [8][40/586] lr: 2.500e-01, eta: 0:52:18, time: 0.190, data_time: 0.013, memory: 2815, loss: 1.1213, top-1: 65.4492, top-5: 88.3203
2023-02-02 22:55:12,831 - mmcls - INFO - Epoch [8][50/586] lr: 2.500e-01, eta: 0:52:20, time: 0.183, data_time: 0.011, memory: 2815, loss: 1.1792, top-1: 64.2578, top-5: 87.1875
2023-02-02 22:55:14,722 - mmcls - INFO - Epoch [8][60/586] lr: 2.500e-01, eta: 0:52:22, time: 0.188, data_time: 0.011, memory: 2815, loss: 1.2377, top-1: 61.7773, top-5: 86.2500
2023-02-02 22:55:16,583 - mmcls - INFO - Epoch [8][70/586] lr: 2.500e-01, eta: 0:52:25, time: 0.188, data_time: 0.012, memory: 2815, loss: 1.1763, top-1: 64.1797, top-5: 87.0117
2023-02-02 22:55:18,336 - mmcls - INFO - Epoch [8][80/586] lr: 2.500e-01, eta: 0:52:27, time: 0.175, data_time: 0.010, memory: 2815, loss: 1.1781, top-1: 64.0039, top-5: 87.0312
2023-02-02 22:55:19,618 - mmcls - INFO - Epoch [8][90/586] lr: 2.500e-01, eta: 0:52:26, time: 0.134, data_time: 0.011, memory: 2815, loss: 1.1989, top-1: 63.4570, top-5: 86.8750
2023-02-02 22:55:21,080 - mmcls - INFO - Epoch [8][100/586] lr: 2.500e-01, eta: 0:52:26, time: 0.140, data_time: 0.005, memory: 2815, loss: 1.1938, top-1: 62.7539, top-5: 86.8555
2023-02-02 22:55:21,783 - mmcls - INFO - Epoch [8][110/586] lr: 2.500e-01, eta: 0:52:22, time: 0.079, data_time: 0.011, memory: 2815, loss: 1.1640, top-1: 63.4570, top-5: 87.6562
2023-02-02 22:55:22,435 - mmcls - INFO - Epoch [8][120/586] lr: 2.500e-01, eta: 0:52:17, time: 0.060, data_time: 0.002, memory: 2815, loss: 1.1139, top-1: 65.2734, top-5: 88.4766
2023-02-02 22:55:23,710 - mmcls - INFO - Epoch [8][130/586] lr: 2.500e-01, eta: 0:52:16, time: 0.132, data_time: 0.007, memory: 2815, loss: 1.1480, top-1: 65.0781, top-5: 87.1094
2023-02-02 22:55:24,838 - mmcls - INFO - Epoch [8][140/586] lr: 2.500e-01, eta: 0:52:13, time: 0.108, data_time: 0.003, memory: 2815, loss: 1.1661, top-1: 64.3555, top-5: 87.5000
2023-02-02 22:55:26,171 - mmcls - INFO - Epoch [8][150/586] lr: 2.500e-01, eta: 0:52:12, time: 0.128, data_time: 0.007, memory: 2815, loss: 1.1075, top-1: 65.2930, top-5: 88.2812
2023-02-02 22:55:28,159 - mmcls - INFO - Epoch [8][160/586] lr: 2.500e-01, eta: 0:52:16, time: 0.200, data_time: 0.012, memory: 2815, loss: 1.1132, top-1: 66.0742, top-5: 87.9492
2023-02-02 22:55:30,128 - mmcls - INFO - Epoch [8][170/586] lr: 2.500e-01, eta: 0:52:18, time: 0.196, data_time: 0.010, memory: 2815, loss: 1.1680, top-1: 64.5898, top-5: 87.2461
2023-02-02 22:55:32,037 - mmcls - INFO - Epoch [8][180/586] lr: 2.500e-01, eta: 0:52:21, time: 0.193, data_time: 0.011, memory: 2815, loss: 1.1001, top-1: 66.2500, top-5: 88.2812
2023-02-02 22:55:33,963 - mmcls - INFO - Epoch [8][190/586] lr: 2.500e-01, eta: 0:52:24, time: 0.189, data_time: 0.009, memory: 2815, loss: 1.1211, top-1: 66.6016, top-5: 87.4805
2023-02-02 22:55:35,837 - mmcls - INFO - Epoch [8][200/586] lr: 2.500e-01, eta: 0:52:26, time: 0.190, data_time: 0.013, memory: 2815, loss: 1.1769, top-1: 64.4141, top-5: 86.8945
2023-02-02 22:55:37,674 - mmcls - INFO - Epoch [8][210/586] lr: 2.500e-01, eta: 0:52:28, time: 0.184, data_time: 0.011, memory: 2815, loss: 1.2038, top-1: 62.7930, top-5: 87.2852
2023-02-02 22:55:39,628 - mmcls - INFO - Epoch [8][220/586] lr: 2.500e-01, eta: 0:52:31, time: 0.195, data_time: 0.011, memory: 2815, loss: 1.1448, top-1: 64.2773, top-5: 88.0664
2023-02-02 22:55:41,664 - mmcls - INFO - Epoch [8][230/586] lr: 2.500e-01, eta: 0:52:34, time: 0.202, data_time: 0.010, memory: 2815, loss: 1.1778, top-1: 64.3164, top-5: 87.0312
2023-02-02 22:55:43,825 - mmcls - INFO - Epoch [8][240/586] lr: 2.500e-01, eta: 0:52:38, time: 0.216, data_time: 0.012, memory: 2815, loss: 1.1438, top-1: 64.5703, top-5: 87.4023
2023-02-02 22:55:45,716 - mmcls - INFO - Epoch [8][250/586] lr: 2.500e-01, eta: 0:52:40, time: 0.190, data_time: 0.013, memory: 2815, loss: 1.1854, top-1: 64.0039, top-5: 87.3438
2023-02-02 22:55:47,623 - mmcls - INFO - Epoch [8][260/586] lr: 2.500e-01, eta: 0:52:43, time: 0.192, data_time: 0.012, memory: 2815, loss: 1.1859, top-1: 64.3164, top-5: 86.5820
2023-02-02 22:55:49,643 - mmcls - INFO - Epoch [8][270/586] lr: 2.500e-01, eta: 0:52:46, time: 0.202, data_time: 0.011, memory: 2815, loss: 1.1797, top-1: 63.6914, top-5: 87.1289
2023-02-02 22:55:51,554 - mmcls - INFO - Epoch [8][280/586] lr: 2.500e-01, eta: 0:52:48, time: 0.191, data_time: 0.011, memory: 2815, loss: 1.1807, top-1: 64.8047, top-5: 86.7969
2023-02-02 22:55:53,462 - mmcls - INFO - Epoch [8][290/586] lr: 2.500e-01, eta: 0:52:50, time: 0.190, data_time: 0.011, memory: 2815, loss: 1.1368, top-1: 65.3516, top-5: 87.5195
2023-02-02 22:55:55,446 - mmcls - INFO - Epoch [8][300/586] lr: 2.500e-01, eta: 0:52:53, time: 0.198, data_time: 0.012, memory: 2815, loss: 1.1762, top-1: 64.0234, top-5: 87.2266
2023-02-02 22:55:57,539 - mmcls - INFO - Epoch [8][310/586] lr: 2.500e-01, eta: 0:52:56, time: 0.210, data_time: 0.012, memory: 2815, loss: 1.1617, top-1: 64.1797, top-5: 87.1094
2023-02-02 22:55:59,499 - mmcls - INFO - Epoch [8][320/586] lr: 2.500e-01, eta: 0:52:59, time: 0.193, data_time: 0.011, memory: 2815, loss: 1.1562, top-1: 64.3164, top-5: 87.9688
2023-02-02 22:56:01,309 - mmcls - INFO - Epoch [8][330/586] lr: 2.500e-01, eta: 0:53:01, time: 0.184, data_time: 0.014, memory: 2815, loss: 1.1827, top-1: 63.3984, top-5: 87.0312
2023-02-02 22:56:03,413 - mmcls - INFO - Epoch [8][340/586] lr: 2.500e-01, eta: 0:53:04, time: 0.206, data_time: 0.011, memory: 2815, loss: 1.1727, top-1: 64.2969, top-5: 87.3242
2023-02-02 22:56:04,749 - mmcls - INFO - Epoch [8][350/586] lr: 2.500e-01, eta: 0:53:03, time: 0.141, data_time: 0.015, memory: 2815, loss: 1.1902, top-1: 63.8477, top-5: 87.1094
2023-02-02 22:56:06,182 - mmcls - INFO - Epoch [8][360/586] lr: 2.500e-01, eta: 0:53:03, time: 0.143, data_time: 0.007, memory: 2815, loss: 1.1873, top-1: 63.8672, top-5: 87.0117
2023-02-02 22:56:07,432 - mmcls - INFO - Epoch [8][370/586] lr: 2.500e-01, eta: 0:53:01, time: 0.126, data_time: 0.007, memory: 2815, loss: 1.1637, top-1: 64.1992, top-5: 87.2852
2023-02-02 22:56:09,064 - mmcls - INFO - Epoch [8][380/586] lr: 2.500e-01, eta: 0:53:02, time: 0.159, data_time: 0.006, memory: 2815, loss: 1.1655, top-1: 64.4922, top-5: 87.7734
2023-02-02 22:56:11,068 - mmcls - INFO - Epoch [8][390/586] lr: 2.500e-01, eta: 0:53:05, time: 0.201, data_time: 0.011, memory: 2815, loss: 1.1569, top-1: 64.6289, top-5: 86.9336
2023-02-02 22:56:13,007 - mmcls - INFO - Epoch [8][400/586] lr: 2.500e-01, eta: 0:53:07, time: 0.192, data_time: 0.010, memory: 2815, loss: 1.1316, top-1: 65.5078, top-5: 87.6367
2023-02-02 22:56:14,990 - mmcls - INFO - Epoch [8][410/586] lr: 2.500e-01, eta: 0:53:10, time: 0.201, data_time: 0.012, memory: 2815, loss: 1.1712, top-1: 63.7695, top-5: 87.3633
2023-02-02 22:56:16,864 - mmcls - INFO - Epoch [8][420/586] lr: 2.500e-01, eta: 0:53:11, time: 0.186, data_time: 0.010, memory: 2815, loss: 1.2169, top-1: 62.3828, top-5: 87.2461
2023-02-02 22:56:18,678 - mmcls - INFO - Epoch [8][430/586] lr: 2.500e-01, eta: 0:53:13, time: 0.182, data_time: 0.011, memory: 2815, loss: 1.1655, top-1: 64.3555, top-5: 87.5781
2023-02-02 22:56:20,681 - mmcls - INFO - Epoch [8][440/586] lr: 2.500e-01, eta: 0:53:16, time: 0.200, data_time: 0.011, memory: 2815, loss: 1.1700, top-1: 63.8477, top-5: 87.5000
2023-02-02 22:56:22,534 - mmcls - INFO - Epoch [8][450/586] lr: 2.500e-01, eta: 0:53:17, time: 0.183, data_time: 0.012, memory: 2815, loss: 1.1423, top-1: 65.0391, top-5: 88.0078
2023-02-02 22:56:24,425 - mmcls - INFO - Epoch [8][460/586] lr: 2.500e-01, eta: 0:53:19, time: 0.191, data_time: 0.014, memory: 2815, loss: 1.1904, top-1: 63.8281, top-5: 87.0898
2023-02-02 22:56:26,323 - mmcls - INFO - Epoch [8][470/586] lr: 2.500e-01, eta: 0:53:21, time: 0.191, data_time: 0.012, memory: 2815, loss: 1.1163, top-1: 65.2148, top-5: 88.2617
2023-02-02 22:56:28,191 - mmcls - INFO - Epoch [8][480/586] lr: 2.500e-01, eta: 0:53:23, time: 0.187, data_time: 0.011, memory: 2815, loss: 1.1400, top-1: 64.7070, top-5: 88.0273
2023-02-02 22:56:30,035 - mmcls - INFO - Epoch [8][490/586] lr: 2.500e-01, eta: 0:53:25, time: 0.185, data_time: 0.010, memory: 2815, loss: 1.1688, top-1: 64.2969, top-5: 87.1094
2023-02-02 22:56:31,949 - mmcls - INFO - Epoch [8][500/586] lr: 2.500e-01, eta: 0:53:27, time: 0.191, data_time: 0.010, memory: 2815, loss: 1.1364, top-1: 64.2969, top-5: 88.3008
2023-02-02 22:56:33,895 - mmcls - INFO - Epoch [8][510/586] lr: 2.500e-01, eta: 0:53:29, time: 0.197, data_time: 0.011, memory: 2815, loss: 1.1738, top-1: 64.0234, top-5: 87.0508
2023-02-02 22:56:35,636 - mmcls - INFO - Epoch [8][520/586] lr: 2.500e-01, eta: 0:53:30, time: 0.172, data_time: 0.009, memory: 2815, loss: 1.1878, top-1: 62.7930, top-5: 86.8945
2023-02-02 22:56:37,680 - mmcls - INFO - Epoch [8][530/586] lr: 2.500e-01, eta: 0:53:33, time: 0.204, data_time: 0.011, memory: 2815, loss: 1.1972, top-1: 62.9102, top-5: 87.1484
2023-02-02 22:56:39,627 - mmcls - INFO - Epoch [8][540/586] lr: 2.500e-01, eta: 0:53:35, time: 0.196, data_time: 0.012, memory: 2815, loss: 1.2006, top-1: 63.3984, top-5: 86.5820
2023-02-02 22:56:41,550 - mmcls - INFO - Epoch [8][550/586] lr: 2.500e-01, eta: 0:53:37, time: 0.193, data_time: 0.010, memory: 2815, loss: 1.1792, top-1: 64.0625, top-5: 87.0508
2023-02-02 22:56:43,365 - mmcls - INFO - Epoch [8][560/586] lr: 2.500e-01, eta: 0:53:38, time: 0.184, data_time: 0.010, memory: 2815, loss: 1.1671, top-1: 64.1406, top-5: 87.0898
2023-02-02 22:56:44,667 - mmcls - INFO - Epoch [8][570/586] lr: 2.500e-01, eta: 0:53:37, time: 0.129, data_time: 0.007, memory: 2815, loss: 1.1559, top-1: 64.5117, top-5: 87.4414
2023-02-02 22:56:46,170 - mmcls - INFO - Epoch [8][580/586] lr: 2.500e-01, eta: 0:53:37, time: 0.150, data_time: 0.008, memory: 2815, loss: 1.1200, top-1: 65.3320, top-5: 88.6133
2023-02-02 22:56:46,785 - mmcls - INFO - Saving checkpoint at 8 epochs
2023-02-02 22:56:49,840 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:56:49,854 - mmcls - INFO - The previous best checkpoint /opt/logger/m_imagenet_etf/best_acc_epoch_3.pth was removed
2023-02-02 22:56:50,088 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_8.pth.
2023-02-02 22:56:50,088 - mmcls - INFO - Best acc is 62.8833 at 8 epoch.
2023-02-02 22:56:50,089 - mmcls - INFO - Epoch(val) [8][12] acc: 62.8833
2023-02-02 22:56:54,220 - mmcls - INFO - Epoch [9][10/586] lr: 2.500e-01, eta: 0:53:45, time: 0.402, data_time: 0.220, memory: 2815, loss: 1.1685, top-1: 64.4727, top-5: 87.3633
2023-02-02 22:56:56,193 - mmcls - INFO - Epoch [9][20/586] lr: 2.500e-01, eta: 0:53:47, time: 0.196, data_time: 0.011, memory: 2815, loss: 1.1027, top-1: 66.2109, top-5: 88.2031
2023-02-02 22:56:58,182 - mmcls - INFO - Epoch [9][30/586] lr: 2.500e-01, eta: 0:53:49, time: 0.199, data_time: 0.013, memory: 2815, loss: 1.1222, top-1: 65.6641, top-5: 87.6367
2023-02-02 22:57:00,111 - mmcls - INFO - Epoch [9][40/586] lr: 2.500e-01, eta: 0:53:51, time: 0.195, data_time: 0.013, memory: 2815, loss: 1.1455, top-1: 64.2578, top-5: 87.9688
2023-02-02 22:57:02,045 - mmcls - INFO - Epoch [9][50/586] lr: 2.500e-01, eta: 0:53:53, time: 0.192, data_time: 0.010, memory: 2815, loss: 1.1293, top-1: 65.8398, top-5: 87.5781
2023-02-02 22:57:03,839 - mmcls - INFO - Epoch [9][60/586] lr: 2.500e-01, eta: 0:53:54, time: 0.183, data_time: 0.012, memory: 2815, loss: 1.1984, top-1: 63.1836, top-5: 86.9727
2023-02-02 22:57:05,805 - mmcls - INFO - Epoch [9][70/586] lr: 2.500e-01, eta: 0:53:56, time: 0.193, data_time: 0.008, memory: 2815, loss: 1.1440, top-1: 65.0977, top-5: 87.7148
2023-02-02 22:57:07,602 - mmcls - INFO - Epoch [9][80/586] lr: 2.500e-01, eta: 0:53:57, time: 0.181, data_time: 0.012, memory: 2815, loss: 1.1439, top-1: 64.5703, top-5: 87.8125
2023-02-02 22:57:09,063 - mmcls - INFO - Epoch [9][90/586] lr: 2.500e-01, eta: 0:53:57, time: 0.150, data_time: 0.011, memory: 2815, loss: 1.1601, top-1: 64.5312, top-5: 87.5195
2023-02-02 22:57:10,701 - mmcls - INFO - Epoch [9][100/586] lr: 2.500e-01, eta: 0:53:57, time: 0.159, data_time: 0.007, memory: 2815, loss: 1.1117, top-1: 65.7617, top-5: 88.6719
2023-02-02 22:57:12,320 - mmcls - INFO - Epoch [9][110/586] lr: 2.500e-01, eta: 0:53:57, time: 0.164, data_time: 0.012, memory: 2815, loss: 1.1553, top-1: 64.9609, top-5: 87.0117
2023-02-02 22:57:14,164 - mmcls - INFO - Epoch [9][120/586] lr: 2.500e-01, eta: 0:53:58, time: 0.184, data_time: 0.010, memory: 2815, loss: 1.1365, top-1: 64.8828, top-5: 88.0273
2023-02-02 22:57:15,966 - mmcls - INFO - Epoch [9][130/586] lr: 2.500e-01, eta: 0:54:00, time: 0.180, data_time: 0.011, memory: 2815, loss: 1.0706, top-1: 67.0312, top-5: 88.4180
2023-02-02 22:57:18,024 - mmcls - INFO - Epoch [9][140/586] lr: 2.500e-01, eta: 0:54:02, time: 0.206, data_time: 0.011, memory: 2815, loss: 1.1245, top-1: 65.4492, top-5: 87.7734
2023-02-02 22:57:19,762 - mmcls - INFO - Epoch [9][150/586] lr: 2.500e-01, eta: 0:54:03, time: 0.176, data_time: 0.010, memory: 2815, loss: 1.1652, top-1: 64.2383, top-5: 87.2656
2023-02-02 22:57:21,067 - mmcls - INFO - Epoch [9][160/586] lr: 2.500e-01, eta: 0:54:01, time: 0.129, data_time: 0.008, memory: 2815, loss: 1.1359, top-1: 64.8047, top-5: 87.6953
2023-02-02 22:57:22,583 - mmcls - INFO - Epoch [9][170/586] lr: 2.500e-01, eta: 0:54:01, time: 0.155, data_time: 0.009, memory: 2815, loss: 1.1357, top-1: 64.6680, top-5: 87.8125
2023-02-02 22:57:23,906 - mmcls - INFO - Epoch [9][180/586] lr: 2.500e-01, eta: 0:54:00, time: 0.131, data_time: 0.006, memory: 2815, loss: 1.1660, top-1: 64.6680, top-5: 87.1289
2023-02-02 22:57:25,652 - mmcls - INFO - Epoch [9][190/586] lr: 2.500e-01, eta: 0:54:00, time: 0.171, data_time: 0.007, memory: 2815, loss: 1.1662, top-1: 65.2148, top-5: 87.0312
2023-02-02 22:57:26,929 - mmcls - INFO - Epoch [9][200/586] lr: 2.500e-01, eta: 0:53:59, time: 0.133, data_time: 0.011, memory: 2815, loss: 1.1222, top-1: 64.9219, top-5: 88.5938
2023-02-02 22:57:28,245 - mmcls - INFO - Epoch [9][210/586] lr: 2.500e-01, eta: 0:53:57, time: 0.126, data_time: 0.005, memory: 2815, loss: 1.1500, top-1: 64.5898, top-5: 87.6172
2023-02-02 22:57:29,457 - mmcls - INFO - Epoch [9][220/586] lr: 2.500e-01, eta: 0:53:56, time: 0.125, data_time: 0.011, memory: 2815, loss: 1.1533, top-1: 65.1758, top-5: 87.0312
2023-02-02 22:57:31,123 - mmcls - INFO - Epoch [9][230/586] lr: 2.500e-01, eta: 0:53:56, time: 0.164, data_time: 0.007, memory: 2815, loss: 1.1160, top-1: 65.7031, top-5: 87.8125
2023-02-02 22:57:33,083 - mmcls - INFO - Epoch [9][240/586] lr: 2.500e-01, eta: 0:53:58, time: 0.195, data_time: 0.010, memory: 2815, loss: 1.1173, top-1: 65.1367, top-5: 87.7930
2023-02-02 22:57:34,990 - mmcls - INFO - Epoch [9][250/586] lr: 2.500e-01, eta: 0:53:59, time: 0.188, data_time: 0.010, memory: 2815, loss: 1.1773, top-1: 64.1797, top-5: 86.8750
2023-02-02 22:57:36,843 - mmcls - INFO - Epoch [9][260/586] lr: 2.500e-01, eta: 0:54:00, time: 0.187, data_time: 0.013, memory: 2815, loss: 1.1989, top-1: 62.9102, top-5: 87.1484
2023-02-02 22:57:38,699 - mmcls - INFO - Epoch [9][270/586] lr: 2.500e-01, eta: 0:54:02, time: 0.185, data_time: 0.012, memory: 2815, loss: 1.1820, top-1: 63.9453, top-5: 86.4648
2023-02-02 22:57:40,648 - mmcls - INFO - Epoch [9][280/586] lr: 2.500e-01, eta: 0:54:03, time: 0.195, data_time: 0.012, memory: 2815, loss: 1.1021, top-1: 65.9180, top-5: 88.5156
2023-02-02 22:57:42,643 - mmcls - INFO - Epoch [9][290/586] lr: 2.500e-01, eta: 0:54:05, time: 0.200, data_time: 0.012, memory: 2815, loss: 1.1212, top-1: 65.9180, top-5: 88.3203
2023-02-02 22:57:44,498 - mmcls - INFO - Epoch [9][300/586] lr: 2.500e-01, eta: 0:54:06, time: 0.187, data_time: 0.012, memory: 2815, loss: 1.1530, top-1: 65.2344, top-5: 87.5391
2023-02-02 22:57:46,427 - mmcls - INFO - Epoch [9][310/586] lr: 2.500e-01, eta: 0:54:08, time: 0.190, data_time: 0.011, memory: 2815, loss: 1.1217, top-1: 65.4883, top-5: 88.1055
2023-02-02 22:57:48,314 - mmcls - INFO - Epoch [9][320/586] lr: 2.500e-01, eta: 0:54:09, time: 0.191, data_time: 0.014, memory: 2815, loss: 1.0911, top-1: 66.2695, top-5: 88.3984
2023-02-02 22:57:50,258 - mmcls - INFO - Epoch [9][330/586] lr: 2.500e-01, eta: 0:54:11, time: 0.196, data_time: 0.011, memory: 2815, loss: 1.1272, top-1: 65.1758, top-5: 88.0664
2023-02-02 22:57:52,125 - mmcls - INFO - Epoch [9][340/586] lr: 2.500e-01, eta: 0:54:12, time: 0.184, data_time: 0.010, memory: 2815, loss: 1.1137, top-1: 65.5078, top-5: 88.3789
2023-02-02 22:57:53,996 - mmcls - INFO - Epoch [9][350/586] lr: 2.500e-01, eta: 0:54:13, time: 0.190, data_time: 0.013, memory: 2815, loss: 1.1169, top-1: 65.5273, top-5: 88.0664
2023-02-02 22:57:55,779 - mmcls - INFO - Epoch [9][360/586] lr: 2.500e-01, eta: 0:54:14, time: 0.178, data_time: 0.010, memory: 2815, loss: 1.1412, top-1: 64.7656, top-5: 87.6367
2023-02-02 22:57:57,449 - mmcls - INFO - Epoch [9][370/586] lr: 2.500e-01, eta: 0:54:14, time: 0.169, data_time: 0.010, memory: 2815, loss: 1.1215, top-1: 65.1562, top-5: 88.0664
2023-02-02 22:57:58,909 - mmcls - INFO - Epoch [9][380/586] lr: 2.500e-01, eta: 0:54:14, time: 0.145, data_time: 0.009, memory: 2815, loss: 1.1066, top-1: 66.0352, top-5: 88.3984
2023-02-02 22:58:00,141 - mmcls - INFO - Epoch [9][390/586] lr: 2.500e-01, eta: 0:54:12, time: 0.127, data_time: 0.009, memory: 2815, loss: 1.1299, top-1: 65.1562, top-5: 88.1641
2023-02-02 22:58:01,653 - mmcls - INFO - Epoch [9][400/586] lr: 2.500e-01, eta: 0:54:11, time: 0.146, data_time: 0.006, memory: 2815, loss: 1.1299, top-1: 64.5508, top-5: 87.8711
2023-02-02 22:58:03,538 - mmcls - INFO - Epoch [9][410/586] lr: 2.500e-01, eta: 0:54:12, time: 0.188, data_time: 0.012, memory: 2815, loss: 1.1315, top-1: 64.9219, top-5: 88.1445
2023-02-02 22:58:05,440 - mmcls - INFO - Epoch [9][420/586] lr: 2.500e-01, eta: 0:54:14, time: 0.193, data_time: 0.013, memory: 2815, loss: 1.1363, top-1: 65.3125, top-5: 87.6953
2023-02-02 22:58:07,292 - mmcls - INFO - Epoch [9][430/586] lr: 2.500e-01, eta: 0:54:15, time: 0.186, data_time: 0.010, memory: 2815, loss: 1.1810, top-1: 64.2969, top-5: 86.6211
2023-02-02 22:58:09,215 - mmcls - INFO - Epoch [9][440/586] lr: 2.500e-01, eta: 0:54:16, time: 0.191, data_time: 0.010, memory: 2815, loss: 1.1230, top-1: 65.8594, top-5: 87.5000
2023-02-02 22:58:11,053 - mmcls - INFO - Epoch [9][450/586] lr: 2.500e-01, eta: 0:54:17, time: 0.182, data_time: 0.011, memory: 2815, loss: 1.1380, top-1: 65.4297, top-5: 87.4609
2023-02-02 22:58:12,930 - mmcls - INFO - Epoch [9][460/586] lr: 2.500e-01, eta: 0:54:18, time: 0.188, data_time: 0.012, memory: 2815, loss: 1.1159, top-1: 65.7227, top-5: 88.2031
2023-02-02 22:58:14,829 - mmcls - INFO - Epoch [9][470/586] lr: 2.500e-01, eta: 0:54:19, time: 0.193, data_time: 0.013, memory: 2815, loss: 1.1370, top-1: 65.0586, top-5: 87.7148
2023-02-02 22:58:16,653 - mmcls - INFO - Epoch [9][480/586] lr: 2.500e-01, eta: 0:54:20, time: 0.181, data_time: 0.009, memory: 2815, loss: 1.1353, top-1: 65.2539, top-5: 87.8125
2023-02-02 22:58:18,572 - mmcls - INFO - Epoch [9][490/586] lr: 2.500e-01, eta: 0:54:21, time: 0.189, data_time: 0.011, memory: 2815, loss: 1.1445, top-1: 64.4141, top-5: 87.9492
2023-02-02 22:58:20,432 - mmcls - INFO - Epoch [9][500/586] lr: 2.500e-01, eta: 0:54:22, time: 0.188, data_time: 0.014, memory: 2815, loss: 1.1142, top-1: 65.1953, top-5: 88.4961
2023-02-02 22:58:22,360 - mmcls - INFO - Epoch [9][510/586] lr: 2.500e-01, eta: 0:54:24, time: 0.194, data_time: 0.013, memory: 2815, loss: 1.1503, top-1: 64.6289, top-5: 87.5586
2023-02-02 22:58:24,219 - mmcls - INFO - Epoch [9][520/586] lr: 2.500e-01, eta: 0:54:25, time: 0.188, data_time: 0.011, memory: 2815, loss: 1.1442, top-1: 64.0820, top-5: 87.4023
2023-02-02 22:58:26,010 - mmcls - INFO - Epoch [9][530/586] lr: 2.500e-01, eta: 0:54:26, time: 0.178, data_time: 0.009, memory: 2815, loss: 1.1534, top-1: 65.3711, top-5: 87.8125
2023-02-02 22:58:27,999 - mmcls - INFO - Epoch [9][540/586] lr: 2.500e-01, eta: 0:54:27, time: 0.197, data_time: 0.011, memory: 2815, loss: 1.1444, top-1: 64.5117, top-5: 87.9492
2023-02-02 22:58:29,765 - mmcls - INFO - Epoch [9][550/586] lr: 2.500e-01, eta: 0:54:28, time: 0.180, data_time: 0.012, memory: 2815, loss: 1.1360, top-1: 65.1172, top-5: 88.0078
2023-02-02 22:58:31,527 - mmcls - INFO - Epoch [9][560/586] lr: 2.500e-01, eta: 0:54:28, time: 0.174, data_time: 0.009, memory: 2815, loss: 1.1160, top-1: 65.9180, top-5: 88.3984
2023-02-02 22:58:33,273 - mmcls - INFO - Epoch [9][570/586] lr: 2.500e-01, eta: 0:54:28, time: 0.171, data_time: 0.011, memory: 2815, loss: 1.1225, top-1: 65.2344, top-5: 88.1836
2023-02-02 22:58:35,009 - mmcls - INFO - Epoch [9][580/586] lr: 2.500e-01, eta: 0:54:29, time: 0.177, data_time: 0.014, memory: 2815, loss: 1.1839, top-1: 63.8477, top-5: 86.8555
2023-02-02 22:58:35,702 - mmcls - INFO - Saving checkpoint at 9 epochs
2023-02-02 22:58:38,495 - mmcls - INFO - Dist Eval Hook : There are 6000 samples in total.
2023-02-02 22:58:38,510 - mmcls - INFO - The previous best checkpoint /opt/logger/m_imagenet_etf/best_acc_epoch_8.pth was removed
2023-02-02 22:58:38,746 - mmcls - INFO - Now best checkpoint is saved as best_acc_epoch_9.pth.
2023-02-02 22:58:38,747 - mmcls - INFO - Best acc is 64.2667 at 9 epoch.
2023-02-02 22:58:38,747 - mmcls - INFO - Epoch(val) [9][12] acc: 64.2667
2023-02-02 22:58:42,816 - mmcls - INFO - Epoch [10][10/586] lr: 2.500e-01, eta: 0:54:35, time: 0.395, data_time: 0.232, memory: 2815, loss: 1.1393, top-1: 65.1367, top-5: 87.3633
2023-02-02 22:58:44,587 - mmcls - INFO - Epoch [10][20/586] lr: 2.500e-01, eta: 0:54:35, time: 0.177, data_time: 0.012, memory: 2815, loss: 1.1032, top-1: 66.6406, top-5: 88.1836
2023-02-02 22:58:46,506 - mmcls - INFO - Epoch [10][30/586] lr: 2.500e-01, eta: 0:54:36, time: 0.194, data_time: 0.012, memory: 2815, loss: 1.1077, top-1: 66.0742, top-5: 88.3203
2023-02-02 22:58:48,400 - mmcls - INFO - Epoch [10][40/586] lr: 2.500e-01, eta: 0:54:37, time: 0.189, data_time: 0.010, memory: 2815, loss: 1.1585, top-1: 63.9648, top-5: 87.4219
2023-02-02 22:58:50,337 - mmcls - INFO - Epoch [10][50/586] lr: 2.500e-01, eta: 0:54:39, time: 0.193, data_time: 0.011, memory: 2815, loss: 1.1359, top-1: 64.1797, top-5: 88.2422
2023-02-02 22:58:52,303 - mmcls - INFO - Epoch [10][60/586] lr: 2.500e-01, eta: 0:54:40, time: 0.196, data_time: 0.011, memory: 2815, loss: 1.1529, top-1: 63.5352, top-5: 87.7148
2023-02-02 22:58:54,177 - mmcls - INFO - Epoch [10][70/586] lr: 2.500e-01, eta: 0:54:41, time: 0.188, data_time: 0.012, memory: 2815, loss: 1.1251, top-1: 65.4883, top-5: 87.8711