18 lines
544 B
Python
18 lines
544 B
Python
_base_ = [
|
|
'../_base_/models/deit3/deit3-huge-p14-224.py',
|
|
'../_base_/datasets/imagenet_bs64_deit3_224.py',
|
|
'../_base_/schedules/imagenet_bs4096_AdamW.py',
|
|
'../_base_/default_runtime.py'
|
|
]
|
|
|
|
# dataset setting
|
|
train_dataloader = dict(batch_size=32)
|
|
|
|
# schedule settings
|
|
optim_wrapper = dict(optimizer=dict(lr=1e-5, weight_decay=0.1))
|
|
|
|
# NOTE: `auto_scale_lr` is for automatically scaling LR
|
|
# based on the actual training batch size.
|
|
# base_batch_size = (64 GPUs) x (32 samples per GPU)
|
|
auto_scale_lr = dict(base_batch_size=2048)
|