Fine_tune

Fine tune with `freeze` for `freeze_epochs` then with `unfreeze` from `epochs` using discriminative LR

fine_tune(
  object,
  epochs,
  base_lr = 0.002,
  freeze_epochs = 1,
  lr_mult = 100,
  pct_start = 0.3,
  div = 5,
  ...
)

Arguments

object

learner/model

epochs

epoch number

base_lr

base learning rate

freeze_epochs

freeze epochs number

lr_mult

learning rate multiply

pct_start

start percentage

div

divide

...

additional arguments

Value

None