Fit_flat_lin
Fit 'self.model' for 'n_epoch' at flat 'start_lr' before 'curve_type' annealing to 'end_lr' with weight decay of 'wd' and callbacks 'cbs'.
fit_flat_lin( object, n_epochs = 100, n_epochs_decay = 100, start_lr = NULL, end_lr = 0, curve_type = "linear", wd = NULL, cbs = NULL, reset_opt = FALSE )
object |
model / learner |
n_epochs |
number of epochs |
n_epochs_decay |
number of epochs with decay |
start_lr |
Desired starting learning rate, used for beginning pct of training. |
end_lr |
Desired end learning rate, training will conclude at this learning rate. |
curve_type |
Curve type for learning rate annealing. Options are 'linear', 'cosine', and 'exponential'. |
wd |
weight decay |
cbs |
callbacks |
reset_opt |
reset optimizer |
None
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