Spaces:
Runtime error
Runtime error
File size: 1,137 Bytes
f549064 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
# for batch in each gpu is 128, 8 gpu
# lr = 5e-4 * 128 * 8 / 512 = 0.001
# schedule settings
optim_wrapper = dict(
optimizer=dict(
type='AdamW',
lr=5e-4 * 2048 / 512,
weight_decay=0.05,
eps=1e-8,
betas=(0.9, 0.999)),
paramwise_cfg=dict(
norm_decay_mult=0.0,
bias_decay_mult=0.0,
custom_keys={
'.cls_token': dict(decay_mult=0.0),
'.pos_embed': dict(decay_mult=0.0)
}),
clip_grad=dict(max_norm=1.0),
)
# learning policy
param_scheduler = [
# warm up learning rate scheduler
dict(
type='LinearLR',
start_factor=1e-8 / 2e-3,
by_epoch=True,
end=70,
# update by iter
convert_to_iter_based=True),
# main learning rate scheduler
dict(type='CosineAnnealingLR', eta_min=1e-5, by_epoch=True, begin=70)
]
# train, val, test setting
train_cfg = dict(by_epoch=True, max_epochs=300, val_interval=1)
val_cfg = dict()
test_cfg = dict()
# NOTE: `auto_scale_lr` is for automatically scaling LR,
# based on the actual training batch size.
auto_scale_lr = dict(base_batch_size=1024)
|