Sentry_image_models
/
convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1
/20230606_005643
/20230606_005643.log
2023/06/06 00:56:47 - mmengine - INFO - | |
------------------------------------------------------------ | |
System environment: | |
sys.platform: linux | |
Python: 3.10.9 (main, Mar 8 2023, 10:47:38) [GCC 11.2.0] | |
CUDA available: True | |
numpy_random_seed: 545223607 | |
GPU 0,1,2,3: NVIDIA A100-SXM4-80GB | |
CUDA_HOME: /mnt/petrelfs/share/cuda-11.6 | |
NVCC: Cuda compilation tools, release 11.6, V11.6.124 | |
GCC: gcc (GCC) 7.5.0 | |
PyTorch: 1.13.1 | |
PyTorch compiling details: PyTorch built with: | |
- GCC 9.3 | |
- C++ Version: 201402 | |
- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications | |
- Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) | |
- OpenMP 201511 (a.k.a. OpenMP 4.5) | |
- LAPACK is enabled (usually provided by MKL) | |
- NNPACK is enabled | |
- CPU capability usage: AVX2 | |
- CUDA Runtime 11.6 | |
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-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_37,code=compute_37 | |
- CuDNN 8.3.2 (built against CUDA 11.5) | |
- Magma 2.6.1 | |
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -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 -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, | |
TorchVision: 0.14.1 | |
OpenCV: 4.7.0 | |
MMEngine: 0.7.3 | |
Runtime environment: | |
cudnn_benchmark: True | |
mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} | |
dist_cfg: {'backend': 'nccl'} | |
seed: None | |
deterministic: False | |
Distributed launcher: slurm | |
Distributed training: True | |
GPU number: 4 | |
------------------------------------------------------------ | |
2023/06/06 00:56:51 - mmengine - INFO - Config: | |
optim_wrapper = dict( | |
optimizer=dict( | |
type='AdamW', | |
lr=0.0004, | |
weight_decay=0.05, | |
eps=1e-08, | |
betas=(0.9, 0.999), | |
_scope_='mmpretrain'), | |
paramwise_cfg=dict( | |
norm_decay_mult=0.0, | |
bias_decay_mult=0.0, | |
flat_decay_mult=0.0, | |
custom_keys=dict({ | |
'.absolute_pos_embed': dict(decay_mult=0.0), | |
'.relative_position_bias_table': dict(decay_mult=0.0) | |
})), | |
type='AmpOptimWrapper', | |
dtype='bfloat16', | |
clip_grad=None) | |
param_scheduler = [ | |
dict(type='CosineAnnealingLR', eta_min=1e-05, by_epoch=False, begin=0) | |
] | |
train_cfg = dict(by_epoch=True, max_epochs=10, val_interval=1) | |
val_cfg = dict() | |
test_cfg = dict() | |
auto_scale_lr = dict(base_batch_size=4096) | |
model = dict( | |
type='ImageClassifier', | |
backbone=dict( | |
frozen_stages=2, | |
type='ConvNeXt', | |
arch='small', | |
drop_path_rate=0.4, | |
init_cfg=dict( | |
type='Pretrained', | |
checkpoint= | |
'https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth', | |
prefix='backbone')), | |
head=dict( | |
type='LinearClsHead', | |
num_classes=2, | |
in_channels=768, | |
loss=dict(type='CrossEntropyLoss', loss_weight=1.0), | |
init_cfg=None), | |
init_cfg=dict( | |
type='TruncNormal', layer=['Conv2d', 'Linear'], std=0.02, bias=0.0), | |
train_cfg=None) | |
dataset_type = 'CustomDataset' | |
data_preprocessor = dict( | |
num_classes=2, | |
mean=[123.675, 116.28, 103.53], | |
std=[58.395, 57.12, 57.375], | |
to_rgb=True) | |
bgr_mean = [103.53, 116.28, 123.675] | |
bgr_std = [57.375, 57.12, 58.395] | |
train_pipeline = [ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
] | |
test_pipeline = [ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='ResizeEdge', | |
scale=256, | |
edge='short', | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='CenterCrop', crop_size=224), | |
dict(type='PackInputs') | |
] | |
train_dataloader = dict( | |
pin_memory=True, | |
persistent_workers=True, | |
collate_fn=dict(type='default_collate'), | |
batch_size=256, | |
num_workers=10, | |
dataset=dict( | |
type='ConcatDataset', | |
datasets=[ | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/all_0.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/all_1.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/stylegan3fake8w.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/cc1m.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/train/stylegan3real8w.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]) | |
]), | |
sampler=dict(type='DefaultSampler', shuffle=True)) | |
val_dataloader = dict( | |
pin_memory=True, | |
persistent_workers=True, | |
collate_fn=dict(type='default_collate'), | |
batch_size=256, | |
num_workers=10, | |
dataset=dict( | |
type='ConcatDataset', | |
datasets=[ | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/stablediffusionV2-1-dpmsolver-25-1w.tsv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/stablediffusionV1-5R2-dpmsolver-25-1w.tsv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/if-dpmsolver++-25-1w.tsv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/cc1w.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]) | |
]), | |
sampler=dict(type='DefaultSampler', shuffle=False)) | |
val_evaluator = [ | |
dict(type='Accuracy', topk=1), | |
dict(type='SingleLabelMetric', average=None) | |
] | |
test_dataloader = dict( | |
pin_memory=True, | |
persistent_workers=True, | |
collate_fn=dict(type='default_collate'), | |
batch_size=256, | |
num_workers=10, | |
dataset=dict( | |
type='ConcatDataset', | |
datasets=[ | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/stablediffusionV2-1-dpmsolver-25-1w.tsv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/stablediffusionV1-5R2-dpmsolver-25-1w.tsv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='/mnt/petrelfs/luzeyu/workspace/fakebench/dataset', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/if-dpmsolver++-25-1w.tsv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]), | |
dict( | |
type='CustomDataset', | |
data_root='', | |
ann_file= | |
'/mnt/petrelfs/luzeyu/workspace/fakebench/dataset/meta/val/cc1w.csv', | |
pipeline=[ | |
dict(type='LoadImageFromFile'), | |
dict( | |
type='RandomResizedCrop', | |
scale=224, | |
backend='pillow', | |
interpolation='bicubic'), | |
dict(type='RandomFlip', prob=0.5, direction='horizontal'), | |
dict(type='JPEG', compress_val=65, prob=0.1), | |
dict(type='GaussianBlur', radius=1.5, prob=0.1), | |
dict(type='PackInputs') | |
]) | |
]), | |
sampler=dict(type='DefaultSampler', shuffle=False)) | |
test_evaluator = [ | |
dict(type='Accuracy', topk=1), | |
dict(type='SingleLabelMetric', average=None) | |
] | |
custom_hooks = [dict(type='EMAHook', momentum=0.0001, priority='ABOVE_NORMAL')] | |
default_scope = 'mmpretrain' | |
default_hooks = dict( | |
timer=dict(type='IterTimerHook'), | |
logger=dict(type='LoggerHook', interval=100), | |
param_scheduler=dict(type='ParamSchedulerHook'), | |
checkpoint=dict(type='CheckpointHook', interval=1), | |
sampler_seed=dict(type='DistSamplerSeedHook'), | |
visualization=dict(type='VisualizationHook', enable=True)) | |
env_cfg = dict( | |
cudnn_benchmark=True, | |
mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), | |
dist_cfg=dict(backend='nccl')) | |
vis_backends = [dict(type='LocalVisBackend')] | |
visualizer = dict( | |
type='UniversalVisualizer', | |
vis_backends=[ | |
dict(type='LocalVisBackend'), | |
dict(type='TensorboardVisBackend') | |
]) | |
log_level = 'INFO' | |
load_from = None | |
resume = False | |
randomness = dict(seed=None, deterministic=False) | |
launcher = 'slurm' | |
work_dir = 'workdir/convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1' | |
2023/06/06 00:57:03 - mmengine - INFO - Hooks will be executed in the following order: | |
before_run: | |
(VERY_HIGH ) RuntimeInfoHook | |
(ABOVE_NORMAL) EMAHook | |
(BELOW_NORMAL) LoggerHook | |
-------------------- | |
after_load_checkpoint: | |
(ABOVE_NORMAL) EMAHook | |
-------------------- | |
before_train: | |
(VERY_HIGH ) RuntimeInfoHook | |
(ABOVE_NORMAL) EMAHook | |
(NORMAL ) IterTimerHook | |
(VERY_LOW ) CheckpointHook | |
-------------------- | |
before_train_epoch: | |
(VERY_HIGH ) RuntimeInfoHook | |
(NORMAL ) IterTimerHook | |
(NORMAL ) DistSamplerSeedHook | |
-------------------- | |
before_train_iter: | |
(VERY_HIGH ) RuntimeInfoHook | |
(NORMAL ) IterTimerHook | |
-------------------- | |
after_train_iter: | |
(VERY_HIGH ) RuntimeInfoHook | |
(ABOVE_NORMAL) EMAHook | |
(NORMAL ) IterTimerHook | |
(BELOW_NORMAL) LoggerHook | |
(LOW ) ParamSchedulerHook | |
(VERY_LOW ) CheckpointHook | |
-------------------- | |
after_train_epoch: | |
(NORMAL ) IterTimerHook | |
(LOW ) ParamSchedulerHook | |
(VERY_LOW ) CheckpointHook | |
-------------------- | |
before_val_epoch: | |
(ABOVE_NORMAL) EMAHook | |
(NORMAL ) IterTimerHook | |
-------------------- | |
before_val_iter: | |
(NORMAL ) IterTimerHook | |
-------------------- | |
after_val_iter: | |
(NORMAL ) IterTimerHook | |
(NORMAL ) VisualizationHook | |
(BELOW_NORMAL) LoggerHook | |
-------------------- | |
after_val_epoch: | |
(VERY_HIGH ) RuntimeInfoHook | |
(ABOVE_NORMAL) EMAHook | |
(NORMAL ) IterTimerHook | |
(BELOW_NORMAL) LoggerHook | |
(LOW ) ParamSchedulerHook | |
(VERY_LOW ) CheckpointHook | |
-------------------- | |
before_save_checkpoint: | |
(ABOVE_NORMAL) EMAHook | |
-------------------- | |
after_train: | |
(VERY_LOW ) CheckpointHook | |
-------------------- | |
before_test_epoch: | |
(ABOVE_NORMAL) EMAHook | |
(NORMAL ) IterTimerHook | |
-------------------- | |
before_test_iter: | |
(NORMAL ) IterTimerHook | |
-------------------- | |
after_test_iter: | |
(NORMAL ) IterTimerHook | |
(NORMAL ) VisualizationHook | |
(BELOW_NORMAL) LoggerHook | |
-------------------- | |
after_test_epoch: | |
(VERY_HIGH ) RuntimeInfoHook | |
(ABOVE_NORMAL) EMAHook | |
(NORMAL ) IterTimerHook | |
(BELOW_NORMAL) LoggerHook | |
-------------------- | |
after_run: | |
(BELOW_NORMAL) LoggerHook | |
-------------------- | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.weight:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.0.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.2.1.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.weight:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.0.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.downsample_layers.3.1.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.gamma:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.depthwise_conv.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.weight:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.norm.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv1.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.0.pointwise_conv2.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.gamma:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.depthwise_conv.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.weight:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.norm.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.2.1.pointwise_conv1.bias:weight_decay=0.0 | |
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2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.depthwise_conv.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.weight:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.norm.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv1.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.stages.3.2.pointwise_conv2.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.norm3.weight:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- backbone.norm3.bias:weight_decay=0.0 | |
2023/06/06 00:57:17 - mmengine - INFO - paramwise_options -- head.fc.bias:weight_decay=0.0 | |
2023/06/06 00:57:22 - mmengine - INFO - load backbone in model from: https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
Name of parameter - Initialization information | |
backbone.downsample_layers.0.0.weight - torch.Size([96, 3, 4, 4]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.0.0.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.0.1.weight - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.0.1.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.1.0.weight - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.1.0.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.1.1.weight - torch.Size([192, 96, 2, 2]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.1.1.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.2.0.weight - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.2.0.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.2.1.weight - torch.Size([384, 192, 2, 2]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.2.1.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.3.0.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.3.0.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.3.1.weight - torch.Size([768, 384, 2, 2]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.downsample_layers.3.1.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.gamma - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.depthwise_conv.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.norm.weight - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.norm.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.pointwise_conv1.weight - torch.Size([384, 96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.pointwise_conv1.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.pointwise_conv2.weight - torch.Size([96, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.0.pointwise_conv2.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.gamma - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.depthwise_conv.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.norm.weight - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.norm.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.pointwise_conv1.weight - torch.Size([384, 96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.pointwise_conv1.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.pointwise_conv2.weight - torch.Size([96, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.1.pointwise_conv2.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.gamma - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.depthwise_conv.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.norm.weight - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.norm.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.pointwise_conv1.weight - torch.Size([384, 96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.pointwise_conv1.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.pointwise_conv2.weight - torch.Size([96, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.0.2.pointwise_conv2.bias - torch.Size([96]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.gamma - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.depthwise_conv.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.norm.weight - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.norm.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.pointwise_conv1.weight - torch.Size([768, 192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.pointwise_conv1.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.pointwise_conv2.weight - torch.Size([192, 768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.0.pointwise_conv2.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.gamma - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.depthwise_conv.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.norm.weight - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.norm.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.pointwise_conv1.weight - torch.Size([768, 192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.pointwise_conv1.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.pointwise_conv2.weight - torch.Size([192, 768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.1.pointwise_conv2.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.gamma - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.depthwise_conv.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.norm.weight - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.norm.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.pointwise_conv1.weight - torch.Size([768, 192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.pointwise_conv1.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.pointwise_conv2.weight - torch.Size([192, 768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.1.2.pointwise_conv2.bias - torch.Size([192]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.0.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.1.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.2.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.3.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.4.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.5.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.6.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.7.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.8.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.9.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.10.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.11.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.12.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.13.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.14.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.15.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.16.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.17.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.18.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.19.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.20.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.21.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.22.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.23.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.24.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.25.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.gamma - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.depthwise_conv.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.norm.weight - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.norm.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.pointwise_conv1.weight - torch.Size([1536, 384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.pointwise_conv1.bias - torch.Size([1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.pointwise_conv2.weight - torch.Size([384, 1536]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.2.26.pointwise_conv2.bias - torch.Size([384]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.gamma - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.depthwise_conv.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.norm.weight - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.norm.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.pointwise_conv1.weight - torch.Size([3072, 768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.pointwise_conv1.bias - torch.Size([3072]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.pointwise_conv2.weight - torch.Size([768, 3072]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.0.pointwise_conv2.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.gamma - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.depthwise_conv.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.norm.weight - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.norm.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.pointwise_conv1.weight - torch.Size([3072, 768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.pointwise_conv1.bias - torch.Size([3072]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.pointwise_conv2.weight - torch.Size([768, 3072]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.1.pointwise_conv2.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.gamma - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.depthwise_conv.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.norm.weight - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.norm.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.pointwise_conv1.weight - torch.Size([3072, 768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.pointwise_conv1.bias - torch.Size([3072]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.pointwise_conv2.weight - torch.Size([768, 3072]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.stages.3.2.pointwise_conv2.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.norm3.weight - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
backbone.norm3.bias - torch.Size([768]): | |
PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/convnext-small_in21k-pre_3rdparty_in1k_20221219-aeca4c93.pth | |
head.fc.weight - torch.Size([2, 768]): | |
TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0.0 | |
head.fc.bias - torch.Size([2]): | |
TruncNormalInit: a=-2, b=2, mean=0, std=0.02, bias=0.0 | |
2023/06/06 00:57:23 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io | |
2023/06/06 00:57:23 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. | |
2023/06/06 00:57:23 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/luzeyu/workspace/fakebench/mmpretrain/workdir/convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1. | |
2023/06/06 00:58:47 - mmengine - INFO - Epoch(train) [1][ 100/2046] lr: 3.9998e-04 eta: 4:47:46 time: 0.7797 data_time: 0.0017 memory: 15587 loss: 0.0458 | |
2023/06/06 01:00:07 - mmengine - INFO - Epoch(train) [1][ 200/2046] lr: 3.9991e-04 eta: 4:36:56 time: 0.7382 data_time: 0.0018 memory: 15587 loss: 0.0491 | |
2023/06/06 01:01:22 - mmengine - INFO - Epoch(train) [1][ 300/2046] lr: 3.9979e-04 eta: 4:27:45 time: 0.7866 data_time: 0.1939 memory: 15587 loss: 0.0337 | |
2023/06/06 01:02:41 - mmengine - INFO - Epoch(train) [1][ 400/2046] lr: 3.9963e-04 eta: 4:25:58 time: 0.8206 data_time: 0.0015 memory: 15587 loss: 0.0264 | |
2023/06/06 01:04:00 - mmengine - INFO - Epoch(train) [1][ 500/2046] lr: 3.9943e-04 eta: 4:24:12 time: 0.7349 data_time: 0.0017 memory: 15587 loss: 0.0323 | |
2023/06/06 01:05:18 - mmengine - INFO - Epoch(train) [1][ 600/2046] lr: 3.9918e-04 eta: 4:22:16 time: 0.8030 data_time: 0.0016 memory: 15587 loss: 0.0361 | |
2023/06/06 01:06:35 - mmengine - INFO - Epoch(train) [1][ 700/2046] lr: 3.9888e-04 eta: 4:19:53 time: 0.7368 data_time: 0.0016 memory: 15587 loss: 0.0309 | |
2023/06/06 01:07:53 - mmengine - INFO - Epoch(train) [1][ 800/2046] lr: 3.9853e-04 eta: 4:18:11 time: 0.7841 data_time: 0.0016 memory: 15587 loss: 0.0283 | |
2023/06/06 01:09:12 - mmengine - INFO - Epoch(train) [1][ 900/2046] lr: 3.9815e-04 eta: 4:16:49 time: 0.7561 data_time: 0.0017 memory: 15587 loss: 0.0323 | |
2023/06/06 01:10:30 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 01:10:30 - mmengine - INFO - Epoch(train) [1][1000/2046] lr: 3.9771e-04 eta: 4:15:16 time: 0.7418 data_time: 0.0015 memory: 15587 loss: 0.0242 | |
2023/06/06 01:11:47 - mmengine - INFO - Epoch(train) [1][1100/2046] lr: 3.9723e-04 eta: 4:13:33 time: 0.7945 data_time: 0.0016 memory: 15587 loss: 0.0282 | |
2023/06/06 01:13:03 - mmengine - INFO - Epoch(train) [1][1200/2046] lr: 3.9670e-04 eta: 4:11:29 time: 0.7638 data_time: 0.0016 memory: 15587 loss: 0.0250 | |
2023/06/06 01:14:19 - mmengine - INFO - Epoch(train) [1][1300/2046] lr: 3.9613e-04 eta: 4:09:32 time: 0.8598 data_time: 0.0024 memory: 15587 loss: 0.0172 | |
2023/06/06 01:15:36 - mmengine - INFO - Epoch(train) [1][1400/2046] lr: 3.9552e-04 eta: 4:07:58 time: 0.7743 data_time: 0.0015 memory: 15587 loss: 0.0270 | |
2023/06/06 01:16:52 - mmengine - INFO - Epoch(train) [1][1500/2046] lr: 3.9486e-04 eta: 4:06:23 time: 0.8124 data_time: 0.0017 memory: 15587 loss: 0.0190 | |
2023/06/06 01:18:10 - mmengine - INFO - Epoch(train) [1][1600/2046] lr: 3.9415e-04 eta: 4:04:58 time: 0.7806 data_time: 0.0014 memory: 15587 loss: 0.0246 | |
2023/06/06 01:19:24 - mmengine - INFO - Epoch(train) [1][1700/2046] lr: 3.9340e-04 eta: 4:03:02 time: 0.7742 data_time: 0.0014 memory: 15587 loss: 0.0195 | |
2023/06/06 01:20:41 - mmengine - INFO - Epoch(train) [1][1800/2046] lr: 3.9261e-04 eta: 4:01:40 time: 0.7816 data_time: 0.0014 memory: 15587 loss: 0.0189 | |
2023/06/06 01:21:57 - mmengine - INFO - Epoch(train) [1][1900/2046] lr: 3.9177e-04 eta: 4:00:02 time: 0.7651 data_time: 0.0014 memory: 15587 loss: 0.0173 | |
2023/06/06 01:23:13 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 01:23:13 - mmengine - INFO - Epoch(train) [1][2000/2046] lr: 3.9089e-04 eta: 3:58:28 time: 0.7751 data_time: 0.0015 memory: 15587 loss: 0.0145 | |
2023/06/06 01:23:45 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 01:23:45 - mmengine - INFO - Saving checkpoint at 1 epochs | |
2023/06/06 01:24:45 - mmengine - INFO - Epoch(val) [1][60/60] accuracy/top1: 50.6926 single-label/precision_classwise: [99.60828399658203, 30.150636672973633] single-label/recall_classwise: [37.45554733276367, 99.45736694335938] single-label/f1-score_classwise: [54.44007873535156, 46.27342224121094] data_time: 0.1255 time: 0.5631 | |
2023/06/06 01:26:03 - mmengine - INFO - Epoch(train) [2][ 100/2046] lr: 3.8952e-04 eta: 3:56:09 time: 0.7574 data_time: 0.0352 memory: 15587 loss: 0.0203 | |
2023/06/06 01:28:51 - mmengine - INFO - Epoch(train) [2][ 200/2046] lr: 3.8853e-04 eta: 4:07:02 time: 0.7844 data_time: 0.0185 memory: 15585 loss: 0.0246 | |
2023/06/06 01:30:06 - mmengine - INFO - Epoch(train) [2][ 300/2046] lr: 3.8750e-04 eta: 4:04:49 time: 0.7823 data_time: 0.0015 memory: 15585 loss: 0.0142 | |
2023/06/06 01:31:21 - mmengine - INFO - Epoch(train) [2][ 400/2046] lr: 3.8642e-04 eta: 4:02:48 time: 0.7561 data_time: 0.0019 memory: 15585 loss: 0.0222 | |
2023/06/06 01:32:37 - mmengine - INFO - Epoch(train) [2][ 500/2046] lr: 3.8530e-04 eta: 4:00:53 time: 0.7986 data_time: 0.0015 memory: 15585 loss: 0.0148 | |
2023/06/06 01:33:54 - mmengine - INFO - Epoch(train) [2][ 600/2046] lr: 3.8414e-04 eta: 3:59:06 time: 0.7966 data_time: 0.0015 memory: 15585 loss: 0.0155 | |
2023/06/06 01:35:09 - mmengine - INFO - Epoch(train) [2][ 700/2046] lr: 3.8293e-04 eta: 3:57:08 time: 0.7410 data_time: 0.0014 memory: 15585 loss: 0.0125 | |
2023/06/06 01:36:23 - mmengine - INFO - Epoch(train) [2][ 800/2046] lr: 3.8169e-04 eta: 3:55:07 time: 0.7098 data_time: 0.0016 memory: 15585 loss: 0.0159 | |
2023/06/06 01:37:36 - mmengine - INFO - Epoch(train) [2][ 900/2046] lr: 3.8040e-04 eta: 3:53:10 time: 0.7683 data_time: 0.0015 memory: 15585 loss: 0.0207 | |
2023/06/06 01:38:16 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 01:38:50 - mmengine - INFO - Epoch(train) [2][1000/2046] lr: 3.7907e-04 eta: 3:51:12 time: 0.7313 data_time: 0.0016 memory: 15585 loss: 0.0197 | |
2023/06/06 01:40:06 - mmengine - INFO - Epoch(train) [2][1100/2046] lr: 3.7770e-04 eta: 3:49:36 time: 0.7730 data_time: 0.0016 memory: 15585 loss: 0.0212 | |
2023/06/06 01:41:23 - mmengine - INFO - Epoch(train) [2][1200/2046] lr: 3.7629e-04 eta: 3:48:04 time: 0.7195 data_time: 0.0016 memory: 15585 loss: 0.0191 | |
2023/06/06 01:42:39 - mmengine - INFO - Epoch(train) [2][1300/2046] lr: 3.7484e-04 eta: 3:46:24 time: 0.7650 data_time: 0.0015 memory: 15585 loss: 0.0165 | |
2023/06/06 01:43:55 - mmengine - INFO - Epoch(train) [2][1400/2046] lr: 3.7335e-04 eta: 3:44:49 time: 0.7551 data_time: 0.0014 memory: 15585 loss: 0.0138 | |
2023/06/06 01:45:11 - mmengine - INFO - Epoch(train) [2][1500/2046] lr: 3.7182e-04 eta: 3:43:14 time: 0.7818 data_time: 0.0018 memory: 15585 loss: 0.0191 | |
2023/06/06 01:46:28 - mmengine - INFO - Epoch(train) [2][1600/2046] lr: 3.7025e-04 eta: 3:41:41 time: 0.8163 data_time: 0.0016 memory: 15585 loss: 0.0148 | |
2023/06/06 01:47:49 - mmengine - INFO - Epoch(train) [2][1700/2046] lr: 3.6864e-04 eta: 3:40:31 time: 0.7613 data_time: 0.0015 memory: 15585 loss: 0.0122 | |
2023/06/06 01:49:06 - mmengine - INFO - Epoch(train) [2][1800/2046] lr: 3.6699e-04 eta: 3:39:03 time: 0.7514 data_time: 0.0016 memory: 15585 loss: 0.0146 | |
2023/06/06 01:50:18 - mmengine - INFO - Epoch(train) [2][1900/2046] lr: 3.6531e-04 eta: 3:37:13 time: 0.6864 data_time: 0.0016 memory: 15585 loss: 0.0081 | |
2023/06/06 01:50:54 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 01:51:30 - mmengine - INFO - Epoch(train) [2][2000/2046] lr: 3.6358e-04 eta: 3:35:27 time: 0.7499 data_time: 0.0019 memory: 15585 loss: 0.0160 | |
2023/06/06 01:52:04 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 01:52:04 - mmengine - INFO - Saving checkpoint at 2 epochs | |
2023/06/06 01:53:01 - mmengine - INFO - Epoch(val) [2][60/60] accuracy/top1: 82.2932 single-label/precision_classwise: [99.82679748535156, 54.68876266479492] single-label/recall_classwise: [77.62136840820312, 99.50387573242188] single-label/f1-score_classwise: [87.334716796875, 70.58370208740234] data_time: 0.1093 time: 0.5076 | |
2023/06/06 01:54:19 - mmengine - INFO - Epoch(train) [3][ 100/2046] lr: 3.6100e-04 eta: 3:33:21 time: 0.7322 data_time: 0.0628 memory: 15585 loss: 0.0193 | |
2023/06/06 01:55:35 - mmengine - INFO - Epoch(train) [3][ 200/2046] lr: 3.5918e-04 eta: 3:31:51 time: 0.7675 data_time: 0.0019 memory: 15585 loss: 0.0135 | |
2023/06/06 01:56:48 - mmengine - INFO - Epoch(train) [3][ 300/2046] lr: 3.5733e-04 eta: 3:30:14 time: 0.7365 data_time: 0.0016 memory: 15585 loss: 0.0184 | |
2023/06/06 01:58:04 - mmengine - INFO - Epoch(train) [3][ 400/2046] lr: 3.5544e-04 eta: 3:28:45 time: 0.7499 data_time: 0.0016 memory: 15585 loss: 0.0132 | |
2023/06/06 01:59:20 - mmengine - INFO - Epoch(train) [3][ 500/2046] lr: 3.5352e-04 eta: 3:27:19 time: 0.7414 data_time: 0.0015 memory: 15585 loss: 0.0153 | |
2023/06/06 02:00:36 - mmengine - INFO - Epoch(train) [3][ 600/2046] lr: 3.5156e-04 eta: 3:25:50 time: 0.7465 data_time: 0.0015 memory: 15585 loss: 0.0100 | |
2023/06/06 02:01:50 - mmengine - INFO - Epoch(train) [3][ 700/2046] lr: 3.4957e-04 eta: 3:24:19 time: 0.7002 data_time: 0.0016 memory: 15585 loss: 0.0143 | |
2023/06/06 02:03:06 - mmengine - INFO - Epoch(train) [3][ 800/2046] lr: 3.4755e-04 eta: 3:22:53 time: 0.7270 data_time: 0.0016 memory: 15585 loss: 0.0122 | |
2023/06/06 02:04:23 - mmengine - INFO - Epoch(train) [3][ 900/2046] lr: 3.4549e-04 eta: 3:21:31 time: 0.7481 data_time: 0.0015 memory: 15585 loss: 0.0170 | |
2023/06/06 02:04:29 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:05:39 - mmengine - INFO - Epoch(train) [3][1000/2046] lr: 3.4339e-04 eta: 3:20:07 time: 0.7832 data_time: 0.0015 memory: 15585 loss: 0.0125 | |
2023/06/06 02:06:51 - mmengine - INFO - Epoch(train) [3][1100/2046] lr: 3.4127e-04 eta: 3:18:32 time: 0.7109 data_time: 0.0017 memory: 15585 loss: 0.0122 | |
2023/06/06 02:08:04 - mmengine - INFO - Epoch(train) [3][1200/2046] lr: 3.3911e-04 eta: 3:16:58 time: 0.7497 data_time: 0.0018 memory: 15585 loss: 0.0105 | |
2023/06/06 02:09:13 - mmengine - INFO - Epoch(train) [3][1300/2046] lr: 3.3692e-04 eta: 3:15:16 time: 0.7058 data_time: 0.0015 memory: 15585 loss: 0.0105 | |
2023/06/06 02:10:22 - mmengine - INFO - Epoch(train) [3][1400/2046] lr: 3.3470e-04 eta: 3:13:34 time: 0.6669 data_time: 0.0015 memory: 15585 loss: 0.0115 | |
2023/06/06 02:11:34 - mmengine - INFO - Epoch(train) [3][1500/2046] lr: 3.3245e-04 eta: 3:12:01 time: 0.7419 data_time: 0.0015 memory: 15585 loss: 0.0173 | |
2023/06/06 02:12:45 - mmengine - INFO - Epoch(train) [3][1600/2046] lr: 3.3017e-04 eta: 3:10:28 time: 0.7054 data_time: 0.0017 memory: 15585 loss: 0.0083 | |
2023/06/06 02:14:03 - mmengine - INFO - Epoch(train) [3][1700/2046] lr: 3.2786e-04 eta: 3:09:12 time: 0.8213 data_time: 0.0016 memory: 15585 loss: 0.0104 | |
2023/06/06 02:15:13 - mmengine - INFO - Epoch(train) [3][1800/2046] lr: 3.2552e-04 eta: 3:07:36 time: 0.7036 data_time: 0.0015 memory: 15585 loss: 0.0135 | |
2023/06/06 02:16:24 - mmengine - INFO - Epoch(train) [3][1900/2046] lr: 3.2315e-04 eta: 3:06:03 time: 0.7210 data_time: 0.0016 memory: 15585 loss: 0.0127 | |
2023/06/06 02:16:30 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:17:36 - mmengine - INFO - Epoch(train) [3][2000/2046] lr: 3.2075e-04 eta: 3:04:33 time: 0.7016 data_time: 0.0015 memory: 15585 loss: 0.0097 | |
2023/06/06 02:18:08 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:18:08 - mmengine - INFO - Saving checkpoint at 3 epochs | |
2023/06/06 02:19:06 - mmengine - INFO - Epoch(val) [3][60/60] accuracy/top1: 86.2817 single-label/precision_classwise: [99.9312744140625, 60.908443450927734] single-label/recall_classwise: [82.61473083496094, 99.79069519042969] single-label/f1-score_classwise: [90.45166015625, 75.6456527709961] data_time: 0.1113 time: 0.5069 | |
2023/06/06 02:20:24 - mmengine - INFO - Epoch(train) [4][ 100/2046] lr: 3.1721e-04 eta: 3:02:36 time: 0.7208 data_time: 0.2000 memory: 15585 loss: 0.0105 | |
2023/06/06 02:21:35 - mmengine - INFO - Epoch(train) [4][ 200/2046] lr: 3.1474e-04 eta: 3:01:05 time: 0.7366 data_time: 0.1850 memory: 15585 loss: 0.0112 | |
2023/06/06 02:22:48 - mmengine - INFO - Epoch(train) [4][ 300/2046] lr: 3.1226e-04 eta: 2:59:40 time: 0.7972 data_time: 0.0301 memory: 15585 loss: 0.0111 | |
2023/06/06 02:24:00 - mmengine - INFO - Epoch(train) [4][ 400/2046] lr: 3.0974e-04 eta: 2:58:14 time: 0.7285 data_time: 0.0015 memory: 15585 loss: 0.0200 | |
2023/06/06 02:25:11 - mmengine - INFO - Epoch(train) [4][ 500/2046] lr: 3.0721e-04 eta: 2:56:44 time: 0.7132 data_time: 0.0016 memory: 15585 loss: 0.0110 | |
2023/06/06 02:26:23 - mmengine - INFO - Epoch(train) [4][ 600/2046] lr: 3.0464e-04 eta: 2:55:18 time: 0.7079 data_time: 0.0017 memory: 15585 loss: 0.0242 | |
2023/06/06 02:27:35 - mmengine - INFO - Epoch(train) [4][ 700/2046] lr: 3.0206e-04 eta: 2:53:52 time: 0.7495 data_time: 0.0020 memory: 15585 loss: 0.0082 | |
2023/06/06 02:28:49 - mmengine - INFO - Epoch(train) [4][ 800/2046] lr: 2.9945e-04 eta: 2:52:29 time: 0.7136 data_time: 0.0015 memory: 15585 loss: 0.0105 | |
2023/06/06 02:29:35 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:30:00 - mmengine - INFO - Epoch(train) [4][ 900/2046] lr: 2.9682e-04 eta: 2:51:04 time: 0.7208 data_time: 0.0016 memory: 15585 loss: 0.0111 | |
2023/06/06 02:31:13 - mmengine - INFO - Epoch(train) [4][1000/2046] lr: 2.9417e-04 eta: 2:49:40 time: 0.7220 data_time: 0.0015 memory: 15585 loss: 0.0153 | |
2023/06/06 02:32:27 - mmengine - INFO - Epoch(train) [4][1100/2046] lr: 2.9149e-04 eta: 2:48:20 time: 0.7023 data_time: 0.0016 memory: 15585 loss: 0.0111 | |
2023/06/06 02:33:43 - mmengine - INFO - Epoch(train) [4][1200/2046] lr: 2.8880e-04 eta: 2:47:03 time: 0.7223 data_time: 0.0017 memory: 15585 loss: 0.0069 | |
2023/06/06 02:35:03 - mmengine - INFO - Epoch(train) [4][1300/2046] lr: 2.8609e-04 eta: 2:45:53 time: 0.7889 data_time: 0.0019 memory: 15585 loss: 0.0085 | |
2023/06/06 02:36:19 - mmengine - INFO - Epoch(train) [4][1400/2046] lr: 2.8336e-04 eta: 2:44:35 time: 0.9031 data_time: 0.0016 memory: 15585 loss: 0.0123 | |
2023/06/06 02:37:38 - mmengine - INFO - Epoch(train) [4][1500/2046] lr: 2.8060e-04 eta: 2:43:22 time: 0.7258 data_time: 0.0015 memory: 15585 loss: 0.0113 | |
2023/06/06 02:38:50 - mmengine - INFO - Epoch(train) [4][1600/2046] lr: 2.7784e-04 eta: 2:41:59 time: 0.7605 data_time: 0.0019 memory: 15585 loss: 0.0109 | |
2023/06/06 02:40:01 - mmengine - INFO - Epoch(train) [4][1700/2046] lr: 2.7505e-04 eta: 2:40:34 time: 0.6591 data_time: 0.0018 memory: 15585 loss: 0.0160 | |
2023/06/06 02:41:16 - mmengine - INFO - Epoch(train) [4][1800/2046] lr: 2.7225e-04 eta: 2:39:15 time: 0.7746 data_time: 0.0017 memory: 15585 loss: 0.0174 | |
2023/06/06 02:42:02 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:42:30 - mmengine - INFO - Epoch(train) [4][1900/2046] lr: 2.6943e-04 eta: 2:37:56 time: 0.7723 data_time: 0.0016 memory: 15585 loss: 0.0188 | |
2023/06/06 02:43:43 - mmengine - INFO - Epoch(train) [4][2000/2046] lr: 2.6660e-04 eta: 2:36:34 time: 0.7511 data_time: 0.0016 memory: 15585 loss: 0.0119 | |
2023/06/06 02:44:15 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:44:15 - mmengine - INFO - Saving checkpoint at 4 epochs | |
2023/06/06 02:45:15 - mmengine - INFO - Epoch(val) [4][60/60] accuracy/top1: 85.9673 single-label/precision_classwise: [99.93093872070312, 60.36576461791992] single-label/recall_classwise: [82.21492767333984, 99.79069519042969] single-label/f1-score_classwise: [90.21137237548828, 75.2257080078125] data_time: 0.1060 time: 0.5014 | |
2023/06/06 02:46:35 - mmengine - INFO - Epoch(train) [5][ 100/2046] lr: 2.6243e-04 eta: 2:34:45 time: 0.7169 data_time: 0.1993 memory: 15585 loss: 0.0108 | |
2023/06/06 02:47:47 - mmengine - INFO - Epoch(train) [5][ 200/2046] lr: 2.5956e-04 eta: 2:33:23 time: 0.6787 data_time: 0.1657 memory: 15585 loss: 0.0131 | |
2023/06/06 02:49:00 - mmengine - INFO - Epoch(train) [5][ 300/2046] lr: 2.5668e-04 eta: 2:32:01 time: 0.7334 data_time: 0.2105 memory: 15585 loss: 0.0080 | |
2023/06/06 02:50:12 - mmengine - INFO - Epoch(train) [5][ 400/2046] lr: 2.5379e-04 eta: 2:30:40 time: 0.7105 data_time: 0.1912 memory: 15585 loss: 0.0067 | |
2023/06/06 02:51:24 - mmengine - INFO - Epoch(train) [5][ 500/2046] lr: 2.5089e-04 eta: 2:29:18 time: 0.7173 data_time: 0.1859 memory: 15585 loss: 0.0128 | |
2023/06/06 02:52:36 - mmengine - INFO - Epoch(train) [5][ 600/2046] lr: 2.4797e-04 eta: 2:27:56 time: 0.7288 data_time: 0.2084 memory: 15585 loss: 0.0167 | |
2023/06/06 02:53:48 - mmengine - INFO - Epoch(train) [5][ 700/2046] lr: 2.4504e-04 eta: 2:26:34 time: 0.7263 data_time: 0.2089 memory: 15585 loss: 0.0111 | |
2023/06/06 02:55:01 - mmengine - INFO - Epoch(train) [5][ 800/2046] lr: 2.4211e-04 eta: 2:25:16 time: 0.6963 data_time: 0.0016 memory: 15585 loss: 0.0126 | |
2023/06/06 02:55:15 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 02:56:14 - mmengine - INFO - Epoch(train) [5][ 900/2046] lr: 2.3917e-04 eta: 2:23:55 time: 0.7081 data_time: 0.0676 memory: 15585 loss: 0.0116 | |
2023/06/06 02:57:26 - mmengine - INFO - Epoch(train) [5][1000/2046] lr: 2.3621e-04 eta: 2:22:35 time: 0.7398 data_time: 0.1405 memory: 15585 loss: 0.0085 | |
2023/06/06 02:58:44 - mmengine - INFO - Epoch(train) [5][1100/2046] lr: 2.3326e-04 eta: 2:21:21 time: 0.7699 data_time: 0.1513 memory: 15585 loss: 0.0118 | |
2023/06/06 02:59:56 - mmengine - INFO - Epoch(train) [5][1200/2046] lr: 2.3029e-04 eta: 2:20:01 time: 0.7450 data_time: 0.2086 memory: 15585 loss: 0.0078 | |
2023/06/06 03:01:10 - mmengine - INFO - Epoch(train) [5][1300/2046] lr: 2.2732e-04 eta: 2:18:43 time: 0.7762 data_time: 0.0874 memory: 15585 loss: 0.0093 | |
2023/06/06 03:02:18 - mmengine - INFO - Epoch(train) [5][1400/2046] lr: 2.2434e-04 eta: 2:17:18 time: 0.6896 data_time: 0.0015 memory: 15585 loss: 0.0123 | |
2023/06/06 03:03:30 - mmengine - INFO - Epoch(train) [5][1500/2046] lr: 2.2136e-04 eta: 2:15:58 time: 0.7268 data_time: 0.0016 memory: 15585 loss: 0.0073 | |
2023/06/06 03:04:44 - mmengine - INFO - Epoch(train) [5][1600/2046] lr: 2.1837e-04 eta: 2:14:41 time: 0.7389 data_time: 0.0015 memory: 15585 loss: 0.0089 | |
2023/06/06 03:06:00 - mmengine - INFO - Epoch(train) [5][1700/2046] lr: 2.1538e-04 eta: 2:13:26 time: 0.7554 data_time: 0.0017 memory: 15585 loss: 0.0123 | |
2023/06/06 03:07:17 - mmengine - INFO - Epoch(train) [5][1800/2046] lr: 2.1239e-04 eta: 2:12:11 time: 0.7416 data_time: 0.0016 memory: 15585 loss: 0.0074 | |
2023/06/06 03:07:28 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 03:08:34 - mmengine - INFO - Epoch(train) [5][1900/2046] lr: 2.0940e-04 eta: 2:10:57 time: 0.7387 data_time: 0.0016 memory: 15585 loss: 0.0103 | |
2023/06/06 03:09:50 - mmengine - INFO - Epoch(train) [5][2000/2046] lr: 2.0641e-04 eta: 2:09:41 time: 0.8017 data_time: 0.0016 memory: 15585 loss: 0.0129 | |
2023/06/06 03:10:24 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 03:10:24 - mmengine - INFO - Saving checkpoint at 5 epochs | |
2023/06/06 03:11:21 - mmengine - INFO - Epoch(val) [5][60/60] accuracy/top1: 85.7604 single-label/precision_classwise: [99.95892333984375, 60.003726959228516] single-label/recall_classwise: [81.92874908447266, 99.87596893310547] single-label/f1-score_classwise: [90.0501937866211, 74.9679946899414] data_time: 0.1039 time: 0.5004 | |
2023/06/06 03:12:41 - mmengine - INFO - Epoch(train) [6][ 100/2046] lr: 2.0204e-04 eta: 2:07:53 time: 0.6941 data_time: 0.0337 memory: 15585 loss: 0.0068 | |
2023/06/06 03:14:00 - mmengine - INFO - Epoch(train) [6][ 200/2046] lr: 1.9904e-04 eta: 2:06:41 time: 0.7269 data_time: 0.0016 memory: 15585 loss: 0.0091 | |
2023/06/06 03:15:16 - mmengine - INFO - Epoch(train) [6][ 300/2046] lr: 1.9605e-04 eta: 2:05:25 time: 0.7452 data_time: 0.0015 memory: 15585 loss: 0.0099 | |
2023/06/06 03:16:32 - mmengine - INFO - Epoch(train) [6][ 400/2046] lr: 1.9306e-04 eta: 2:04:10 time: 0.7591 data_time: 0.0015 memory: 15585 loss: 0.0139 | |
2023/06/06 03:17:49 - mmengine - INFO - Epoch(train) [6][ 500/2046] lr: 1.9007e-04 eta: 2:02:55 time: 0.7070 data_time: 0.0016 memory: 15585 loss: 0.0069 | |
2023/06/06 03:19:04 - mmengine - INFO - Epoch(train) [6][ 600/2046] lr: 1.8709e-04 eta: 2:01:39 time: 0.7734 data_time: 0.0017 memory: 15585 loss: 0.0077 | |
2023/06/06 03:20:20 - mmengine - INFO - Epoch(train) [6][ 700/2046] lr: 1.8411e-04 eta: 2:00:23 time: 0.7779 data_time: 0.0015 memory: 15585 loss: 0.0125 | |
2023/06/06 03:21:15 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 03:21:37 - mmengine - INFO - Epoch(train) [6][ 800/2046] lr: 1.8114e-04 eta: 1:59:09 time: 0.7920 data_time: 0.0018 memory: 15585 loss: 0.0078 | |
2023/06/06 03:22:56 - mmengine - INFO - Epoch(train) [6][ 900/2046] lr: 1.7817e-04 eta: 1:57:55 time: 0.7732 data_time: 0.0016 memory: 15585 loss: 0.0096 | |
2023/06/06 03:24:20 - mmengine - INFO - Epoch(train) [6][1000/2046] lr: 1.7521e-04 eta: 1:56:46 time: 0.7342 data_time: 0.0016 memory: 15585 loss: 0.0062 | |
2023/06/06 03:25:39 - mmengine - INFO - Epoch(train) [6][1100/2046] lr: 1.7225e-04 eta: 1:55:32 time: 0.8174 data_time: 0.0018 memory: 15585 loss: 0.0094 | |
2023/06/06 03:26:56 - mmengine - INFO - Epoch(train) [6][1200/2046] lr: 1.6930e-04 eta: 1:54:18 time: 0.7791 data_time: 0.0018 memory: 15585 loss: 0.0091 | |
2023/06/06 03:28:14 - mmengine - INFO - Epoch(train) [6][1300/2046] lr: 1.6636e-04 eta: 1:53:03 time: 0.8271 data_time: 0.0015 memory: 15585 loss: 0.0123 | |
2023/06/06 03:29:33 - mmengine - INFO - Epoch(train) [6][1400/2046] lr: 1.6343e-04 eta: 1:51:49 time: 0.6922 data_time: 0.0015 memory: 15585 loss: 0.0087 | |
2023/06/06 03:30:46 - mmengine - INFO - Epoch(train) [6][1500/2046] lr: 1.6051e-04 eta: 1:50:31 time: 0.7868 data_time: 0.0015 memory: 15585 loss: 0.0038 | |
2023/06/06 03:32:00 - mmengine - INFO - Epoch(train) [6][1600/2046] lr: 1.5760e-04 eta: 1:49:14 time: 0.7386 data_time: 0.0016 memory: 15585 loss: 0.0109 | |
2023/06/06 03:33:14 - mmengine - INFO - Epoch(train) [6][1700/2046] lr: 1.5470e-04 eta: 1:47:57 time: 0.7590 data_time: 0.0016 memory: 15585 loss: 0.0093 | |
2023/06/06 03:34:07 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 03:34:29 - mmengine - INFO - Epoch(train) [6][1800/2046] lr: 1.5182e-04 eta: 1:46:40 time: 0.6745 data_time: 0.0016 memory: 15585 loss: 0.0080 | |
2023/06/06 03:35:43 - mmengine - INFO - Epoch(train) [6][1900/2046] lr: 1.4894e-04 eta: 1:45:23 time: 0.7071 data_time: 0.0015 memory: 15585 loss: 0.0120 | |
2023/06/06 03:36:55 - mmengine - INFO - Epoch(train) [6][2000/2046] lr: 1.4608e-04 eta: 1:44:04 time: 0.6970 data_time: 0.0016 memory: 15585 loss: 0.0037 | |
2023/06/06 03:37:28 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 03:37:28 - mmengine - INFO - Saving checkpoint at 6 epochs | |
2023/06/06 03:38:26 - mmengine - INFO - Epoch(val) [6][60/60] accuracy/top1: 85.7836 single-label/precision_classwise: [99.95637512207031, 60.0438117980957] single-label/recall_classwise: [81.96031188964844, 99.86821746826172] single-label/f1-score_classwise: [90.06822204589844, 74.99708557128906] data_time: 0.1129 time: 0.5116 | |
2023/06/06 03:39:50 - mmengine - INFO - Epoch(train) [7][ 100/2046] lr: 1.4193e-04 eta: 1:42:17 time: 0.7381 data_time: 0.0916 memory: 15585 loss: 0.0052 | |
2023/06/06 03:41:03 - mmengine - INFO - Epoch(train) [7][ 200/2046] lr: 1.3910e-04 eta: 1:41:00 time: 0.7429 data_time: 0.2282 memory: 15585 loss: 0.0080 | |
2023/06/06 03:42:20 - mmengine - INFO - Epoch(train) [7][ 300/2046] lr: 1.3629e-04 eta: 1:39:45 time: 0.8034 data_time: 0.0015 memory: 15585 loss: 0.0072 | |
2023/06/06 03:43:37 - mmengine - INFO - Epoch(train) [7][ 400/2046] lr: 1.3350e-04 eta: 1:38:29 time: 0.7963 data_time: 0.0016 memory: 15585 loss: 0.0103 | |
2023/06/06 03:44:52 - mmengine - INFO - Epoch(train) [7][ 500/2046] lr: 1.3072e-04 eta: 1:37:13 time: 0.7438 data_time: 0.0017 memory: 15585 loss: 0.0059 | |
2023/06/06 03:46:05 - mmengine - INFO - Epoch(train) [7][ 600/2046] lr: 1.2796e-04 eta: 1:35:55 time: 0.7304 data_time: 0.0015 memory: 15585 loss: 0.0080 | |
2023/06/06 03:47:20 - mmengine - INFO - Epoch(train) [7][ 700/2046] lr: 1.2522e-04 eta: 1:34:39 time: 0.7707 data_time: 0.0017 memory: 15585 loss: 0.0085 | |
2023/06/06 03:47:38 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 03:48:36 - mmengine - INFO - Epoch(train) [7][ 800/2046] lr: 1.2250e-04 eta: 1:33:23 time: 0.7316 data_time: 0.0015 memory: 15585 loss: 0.0044 | |
2023/06/06 03:49:56 - mmengine - INFO - Epoch(train) [7][ 900/2046] lr: 1.1980e-04 eta: 1:32:09 time: 0.7846 data_time: 0.0015 memory: 15585 loss: 0.0054 | |
2023/06/06 03:51:09 - mmengine - INFO - Epoch(train) [7][1000/2046] lr: 1.1711e-04 eta: 1:30:52 time: 0.7386 data_time: 0.0015 memory: 15585 loss: 0.0100 | |
2023/06/06 03:52:24 - mmengine - INFO - Epoch(train) [7][1100/2046] lr: 1.1445e-04 eta: 1:29:36 time: 0.7163 data_time: 0.0016 memory: 15585 loss: 0.0089 | |
2023/06/06 03:53:39 - mmengine - INFO - Epoch(train) [7][1200/2046] lr: 1.1181e-04 eta: 1:28:19 time: 0.7818 data_time: 0.0016 memory: 15585 loss: 0.0036 | |
2023/06/06 03:54:52 - mmengine - INFO - Epoch(train) [7][1300/2046] lr: 1.0919e-04 eta: 1:27:02 time: 0.6835 data_time: 0.0016 memory: 15585 loss: 0.0053 | |
2023/06/06 03:56:06 - mmengine - INFO - Epoch(train) [7][1400/2046] lr: 1.0659e-04 eta: 1:25:45 time: 0.7692 data_time: 0.0018 memory: 15585 loss: 0.0058 | |
2023/06/06 03:57:24 - mmengine - INFO - Epoch(train) [7][1500/2046] lr: 1.0402e-04 eta: 1:24:30 time: 0.7656 data_time: 0.0017 memory: 15585 loss: 0.0096 | |
2023/06/06 03:58:38 - mmengine - INFO - Epoch(train) [7][1600/2046] lr: 1.0147e-04 eta: 1:23:13 time: 0.7026 data_time: 0.0016 memory: 15585 loss: 0.0060 | |
2023/06/06 03:59:51 - mmengine - INFO - Epoch(train) [7][1700/2046] lr: 9.8946e-05 eta: 1:21:56 time: 0.6843 data_time: 0.0017 memory: 15585 loss: 0.0073 | |
2023/06/06 04:00:08 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:01:04 - mmengine - INFO - Epoch(train) [7][1800/2046] lr: 9.6446e-05 eta: 1:20:39 time: 0.7048 data_time: 0.0017 memory: 15585 loss: 0.0078 | |
2023/06/06 04:02:15 - mmengine - INFO - Epoch(train) [7][1900/2046] lr: 9.3972e-05 eta: 1:19:21 time: 0.7080 data_time: 0.0015 memory: 15585 loss: 0.0089 | |
2023/06/06 04:03:28 - mmengine - INFO - Epoch(train) [7][2000/2046] lr: 9.1523e-05 eta: 1:18:04 time: 0.7416 data_time: 0.0017 memory: 15585 loss: 0.0046 | |
2023/06/06 04:03:59 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:03:59 - mmengine - INFO - Saving checkpoint at 7 epochs | |
2023/06/06 04:04:57 - mmengine - INFO - Epoch(val) [7][60/60] accuracy/top1: 86.3115 single-label/precision_classwise: [99.93638610839844, 60.958290100097656] single-label/recall_classwise: [82.64839935302734, 99.80619812011719] single-label/f1-score_classwise: [90.47393798828125, 75.68854522705078] data_time: 0.1092 time: 0.5069 | |
2023/06/06 04:06:15 - mmengine - INFO - Epoch(train) [8][ 100/2046] lr: 8.7997e-05 eta: 1:16:13 time: 0.7495 data_time: 0.1354 memory: 15585 loss: 0.0069 | |
2023/06/06 04:07:28 - mmengine - INFO - Epoch(train) [8][ 200/2046] lr: 8.5616e-05 eta: 1:14:56 time: 0.7030 data_time: 0.0343 memory: 15585 loss: 0.0072 | |
2023/06/06 04:08:42 - mmengine - INFO - Epoch(train) [8][ 300/2046] lr: 8.3262e-05 eta: 1:13:40 time: 0.7513 data_time: 0.0018 memory: 15585 loss: 0.0047 | |
2023/06/06 04:09:57 - mmengine - INFO - Epoch(train) [8][ 400/2046] lr: 8.0938e-05 eta: 1:12:24 time: 0.6823 data_time: 0.0016 memory: 15585 loss: 0.0036 | |
2023/06/06 04:11:11 - mmengine - INFO - Epoch(train) [8][ 500/2046] lr: 7.8642e-05 eta: 1:11:07 time: 0.7327 data_time: 0.0015 memory: 15585 loss: 0.0043 | |
2023/06/06 04:12:24 - mmengine - INFO - Epoch(train) [8][ 600/2046] lr: 7.6377e-05 eta: 1:09:51 time: 0.7514 data_time: 0.0018 memory: 15585 loss: 0.0091 | |
2023/06/06 04:13:21 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:13:39 - mmengine - INFO - Epoch(train) [8][ 700/2046] lr: 7.4142e-05 eta: 1:08:35 time: 0.9306 data_time: 0.0014 memory: 15585 loss: 0.0046 | |
2023/06/06 04:14:59 - mmengine - INFO - Epoch(train) [8][ 800/2046] lr: 7.1937e-05 eta: 1:07:21 time: 0.7215 data_time: 0.0017 memory: 15585 loss: 0.0048 | |
2023/06/06 04:16:13 - mmengine - INFO - Epoch(train) [8][ 900/2046] lr: 6.9764e-05 eta: 1:06:04 time: 0.7434 data_time: 0.0018 memory: 15585 loss: 0.0061 | |
2023/06/06 04:17:25 - mmengine - INFO - Epoch(train) [8][1000/2046] lr: 6.7623e-05 eta: 1:04:48 time: 0.7571 data_time: 0.0017 memory: 15585 loss: 0.0095 | |
2023/06/06 04:18:40 - mmengine - INFO - Epoch(train) [8][1100/2046] lr: 6.5515e-05 eta: 1:03:32 time: 0.7015 data_time: 0.0016 memory: 15585 loss: 0.0069 | |
2023/06/06 04:19:53 - mmengine - INFO - Epoch(train) [8][1200/2046] lr: 6.3439e-05 eta: 1:02:15 time: 0.7101 data_time: 0.0016 memory: 15585 loss: 0.0062 | |
2023/06/06 04:21:06 - mmengine - INFO - Epoch(train) [8][1300/2046] lr: 6.1396e-05 eta: 1:00:59 time: 0.7369 data_time: 0.0015 memory: 15585 loss: 0.0051 | |
2023/06/06 04:22:21 - mmengine - INFO - Epoch(train) [8][1400/2046] lr: 5.9388e-05 eta: 0:59:43 time: 0.7467 data_time: 0.0021 memory: 15585 loss: 0.0039 | |
2023/06/06 04:23:36 - mmengine - INFO - Epoch(train) [8][1500/2046] lr: 5.7413e-05 eta: 0:58:27 time: 0.7236 data_time: 0.0018 memory: 15585 loss: 0.0059 | |
2023/06/06 04:24:51 - mmengine - INFO - Epoch(train) [8][1600/2046] lr: 5.5474e-05 eta: 0:57:11 time: 0.6820 data_time: 0.0018 memory: 15585 loss: 0.0043 | |
2023/06/06 04:25:51 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:26:07 - mmengine - INFO - Epoch(train) [8][1700/2046] lr: 5.3570e-05 eta: 0:55:56 time: 0.7614 data_time: 0.0016 memory: 15585 loss: 0.0069 | |
2023/06/06 04:27:26 - mmengine - INFO - Epoch(train) [8][1800/2046] lr: 5.1701e-05 eta: 0:54:41 time: 0.8009 data_time: 0.0016 memory: 15585 loss: 0.0071 | |
2023/06/06 04:28:42 - mmengine - INFO - Epoch(train) [8][1900/2046] lr: 4.9869e-05 eta: 0:53:25 time: 0.7648 data_time: 0.0016 memory: 15585 loss: 0.0051 | |
2023/06/06 04:30:00 - mmengine - INFO - Epoch(train) [8][2000/2046] lr: 4.8073e-05 eta: 0:52:10 time: 0.7756 data_time: 0.0017 memory: 15585 loss: 0.0070 | |
2023/06/06 04:30:33 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:30:33 - mmengine - INFO - Saving checkpoint at 8 epochs | |
2023/06/06 04:31:31 - mmengine - INFO - Epoch(val) [8][60/60] accuracy/top1: 86.8858 single-label/precision_classwise: [99.95963287353516, 61.96614074707031] single-label/recall_classwise: [83.35963439941406, 99.87596893310547] single-label/f1-score_classwise: [90.90805053710938, 76.48106384277344] data_time: 0.1137 time: 0.5121 | |
2023/06/06 04:32:49 - mmengine - INFO - Epoch(train) [9][ 100/2046] lr: 4.5518e-05 eta: 0:50:20 time: 0.7079 data_time: 0.1924 memory: 15585 loss: 0.0042 | |
2023/06/06 04:34:07 - mmengine - INFO - Epoch(train) [9][ 200/2046] lr: 4.3814e-05 eta: 0:49:05 time: 0.8093 data_time: 0.0017 memory: 15585 loss: 0.0065 | |
2023/06/06 04:35:25 - mmengine - INFO - Epoch(train) [9][ 300/2046] lr: 4.2148e-05 eta: 0:47:50 time: 0.7897 data_time: 0.0015 memory: 15585 loss: 0.0056 | |
2023/06/06 04:36:54 - mmengine - INFO - Epoch(train) [9][ 400/2046] lr: 4.0520e-05 eta: 0:46:37 time: 0.7985 data_time: 0.0015 memory: 15585 loss: 0.0033 | |
2023/06/06 04:38:10 - mmengine - INFO - Epoch(train) [9][ 500/2046] lr: 3.8931e-05 eta: 0:45:21 time: 0.7752 data_time: 0.0016 memory: 15585 loss: 0.0058 | |
2023/06/06 04:39:27 - mmengine - INFO - Epoch(train) [9][ 600/2046] lr: 3.7381e-05 eta: 0:44:06 time: 0.7823 data_time: 0.0017 memory: 15585 loss: 0.0076 | |
2023/06/06 04:39:51 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:40:43 - mmengine - INFO - Epoch(train) [9][ 700/2046] lr: 3.5871e-05 eta: 0:42:50 time: 0.7845 data_time: 0.0017 memory: 15585 loss: 0.0065 | |
2023/06/06 04:41:59 - mmengine - INFO - Epoch(train) [9][ 800/2046] lr: 3.4401e-05 eta: 0:41:34 time: 0.7427 data_time: 0.0015 memory: 15585 loss: 0.0056 | |
2023/06/06 04:43:15 - mmengine - INFO - Epoch(train) [9][ 900/2046] lr: 3.2971e-05 eta: 0:40:19 time: 0.7652 data_time: 0.0015 memory: 15585 loss: 0.0051 | |
2023/06/06 04:44:32 - mmengine - INFO - Epoch(train) [9][1000/2046] lr: 3.1581e-05 eta: 0:39:03 time: 0.7513 data_time: 0.0016 memory: 15585 loss: 0.0048 | |
2023/06/06 04:45:48 - mmengine - INFO - Epoch(train) [9][1100/2046] lr: 3.0232e-05 eta: 0:37:47 time: 0.7822 data_time: 0.0015 memory: 15585 loss: 0.0049 | |
2023/06/06 04:47:05 - mmengine - INFO - Epoch(train) [9][1200/2046] lr: 2.8925e-05 eta: 0:36:32 time: 0.7657 data_time: 0.0015 memory: 15585 loss: 0.0055 | |
2023/06/06 04:48:24 - mmengine - INFO - Epoch(train) [9][1300/2046] lr: 2.7659e-05 eta: 0:35:16 time: 0.7962 data_time: 0.0016 memory: 15585 loss: 0.0071 | |
2023/06/06 04:49:40 - mmengine - INFO - Epoch(train) [9][1400/2046] lr: 2.6435e-05 eta: 0:34:00 time: 0.7714 data_time: 0.0016 memory: 15585 loss: 0.0060 | |
2023/06/06 04:50:55 - mmengine - INFO - Epoch(train) [9][1500/2046] lr: 2.5253e-05 eta: 0:32:45 time: 0.7584 data_time: 0.0017 memory: 15585 loss: 0.0090 | |
2023/06/06 04:52:11 - mmengine - INFO - Epoch(train) [9][1600/2046] lr: 2.4113e-05 eta: 0:31:29 time: 0.7131 data_time: 0.0017 memory: 15585 loss: 0.0073 | |
2023/06/06 04:52:34 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:53:27 - mmengine - INFO - Epoch(train) [9][1700/2046] lr: 2.3016e-05 eta: 0:30:13 time: 0.7824 data_time: 0.0016 memory: 15585 loss: 0.0069 | |
2023/06/06 04:54:49 - mmengine - INFO - Epoch(train) [9][1800/2046] lr: 2.1962e-05 eta: 0:28:58 time: 0.7645 data_time: 0.0016 memory: 15585 loss: 0.0031 | |
2023/06/06 04:56:05 - mmengine - INFO - Epoch(train) [9][1900/2046] lr: 2.0951e-05 eta: 0:27:42 time: 0.7386 data_time: 0.0015 memory: 15585 loss: 0.0032 | |
2023/06/06 04:57:21 - mmengine - INFO - Epoch(train) [9][2000/2046] lr: 1.9984e-05 eta: 0:26:26 time: 0.7436 data_time: 0.0016 memory: 15585 loss: 0.0059 | |
2023/06/06 04:57:54 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 04:57:54 - mmengine - INFO - Saving checkpoint at 9 epochs | |
2023/06/06 04:58:52 - mmengine - INFO - Epoch(val) [9][60/60] accuracy/top1: 87.1456 single-label/precision_classwise: [99.94973754882812, 62.44242858886719] single-label/recall_classwise: [83.69842529296875, 99.84496307373047] single-label/f1-score_classwise: [91.10503387451172, 76.83360290527344] data_time: 0.1032 time: 0.5024 | |
2023/06/06 05:00:10 - mmengine - INFO - Epoch(train) [10][ 100/2046] lr: 1.8649e-05 eta: 0:24:36 time: 0.7176 data_time: 0.0015 memory: 15585 loss: 0.0068 | |
2023/06/06 05:01:23 - mmengine - INFO - Epoch(train) [10][ 200/2046] lr: 1.7790e-05 eta: 0:23:20 time: 0.7045 data_time: 0.0017 memory: 15585 loss: 0.0076 | |
2023/06/06 05:02:43 - mmengine - INFO - Epoch(train) [10][ 300/2046] lr: 1.6974e-05 eta: 0:22:04 time: 0.7591 data_time: 0.0016 memory: 15585 loss: 0.0031 | |
2023/06/06 05:03:59 - mmengine - INFO - Epoch(train) [10][ 400/2046] lr: 1.6202e-05 eta: 0:20:48 time: 0.7902 data_time: 0.0016 memory: 15585 loss: 0.0018 | |
2023/06/06 05:05:15 - mmengine - INFO - Epoch(train) [10][ 500/2046] lr: 1.5476e-05 eta: 0:19:32 time: 0.7735 data_time: 0.0018 memory: 15585 loss: 0.0035 | |
2023/06/06 05:06:19 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 05:06:31 - mmengine - INFO - Epoch(train) [10][ 600/2046] lr: 1.4793e-05 eta: 0:18:17 time: 0.7880 data_time: 0.0015 memory: 15585 loss: 0.0075 | |
2023/06/06 05:07:47 - mmengine - INFO - Epoch(train) [10][ 700/2046] lr: 1.4156e-05 eta: 0:17:01 time: 0.7852 data_time: 0.0016 memory: 15585 loss: 0.0054 | |
2023/06/06 05:09:04 - mmengine - INFO - Epoch(train) [10][ 800/2046] lr: 1.3564e-05 eta: 0:15:45 time: 0.7876 data_time: 0.0016 memory: 15585 loss: 0.0046 | |
2023/06/06 05:10:21 - mmengine - INFO - Epoch(train) [10][ 900/2046] lr: 1.3016e-05 eta: 0:14:29 time: 0.8062 data_time: 0.0018 memory: 15585 loss: 0.0086 | |
2023/06/06 05:11:35 - mmengine - INFO - Epoch(train) [10][1000/2046] lr: 1.2514e-05 eta: 0:13:13 time: 0.8434 data_time: 0.0019 memory: 15585 loss: 0.0064 | |
2023/06/06 05:12:49 - mmengine - INFO - Epoch(train) [10][1100/2046] lr: 1.2058e-05 eta: 0:11:57 time: 0.7644 data_time: 0.0015 memory: 15585 loss: 0.0061 | |
2023/06/06 05:14:07 - mmengine - INFO - Epoch(train) [10][1200/2046] lr: 1.1647e-05 eta: 0:10:41 time: 0.8092 data_time: 0.0016 memory: 15585 loss: 0.0047 | |
2023/06/06 05:15:23 - mmengine - INFO - Epoch(train) [10][1300/2046] lr: 1.1281e-05 eta: 0:09:25 time: 0.7980 data_time: 0.0017 memory: 15585 loss: 0.0061 | |
2023/06/06 05:16:39 - mmengine - INFO - Epoch(train) [10][1400/2046] lr: 1.0961e-05 eta: 0:08:10 time: 0.7399 data_time: 0.0018 memory: 15585 loss: 0.0083 | |
2023/06/06 05:17:57 - mmengine - INFO - Epoch(train) [10][1500/2046] lr: 1.0687e-05 eta: 0:06:54 time: 0.7104 data_time: 0.0015 memory: 15585 loss: 0.0065 | |
2023/06/06 05:19:07 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 05:19:20 - mmengine - INFO - Epoch(train) [10][1600/2046] lr: 1.0459e-05 eta: 0:05:38 time: 0.8109 data_time: 0.0017 memory: 15585 loss: 0.0043 | |
2023/06/06 05:20:44 - mmengine - INFO - Epoch(train) [10][1700/2046] lr: 1.0277e-05 eta: 0:04:22 time: 0.7935 data_time: 0.0015 memory: 15585 loss: 0.0023 | |
2023/06/06 05:22:02 - mmengine - INFO - Epoch(train) [10][1800/2046] lr: 1.0140e-05 eta: 0:03:06 time: 0.7602 data_time: 0.0016 memory: 15585 loss: 0.0034 | |
2023/06/06 05:23:19 - mmengine - INFO - Epoch(train) [10][1900/2046] lr: 1.0050e-05 eta: 0:01:50 time: 0.7593 data_time: 0.0016 memory: 15585 loss: 0.0048 | |
2023/06/06 05:24:43 - mmengine - INFO - Epoch(train) [10][2000/2046] lr: 1.0005e-05 eta: 0:00:34 time: 0.7175 data_time: 0.0017 memory: 15585 loss: 0.0061 | |
2023/06/06 05:25:20 - mmengine - INFO - Exp name: convnext_small_4xb256_all2_1m_lr4e-4_aug_1e-1_20230606_005643 | |
2023/06/06 05:25:20 - mmengine - INFO - Saving checkpoint at 10 epochs | |
2023/06/06 05:26:18 - mmengine - INFO - Epoch(val) [10][60/60] accuracy/top1: 87.4832 single-label/precision_classwise: [99.93502044677734, 63.07383346557617] single-label/recall_classwise: [84.14031219482422, 99.79844665527344] single-label/f1-score_classwise: [91.36002349853516, 77.29578399658203] data_time: 0.1258 time: 0.5219 | |