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feat: Added min and max epochs to fit #190

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Merged
merged 2 commits into from
Feb 14, 2025
Merged

feat: Added min and max epochs to fit #190

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f83be1a
Added min and max epochs to fit
Pringled Feb 14, 2025
fba502a
Updated default args
Pringled Feb 14, 2025
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8 changes: 7 additions & 1 deletion model2vec/train/classifier.py
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Original file line number Diff line number Diff line change
Expand Up @@ -96,6 +96,8 @@ def fit(
y: list[str],
learning_rate: float = 1e-3,
batch_size: int | None = None,
min_epochs: int | None = None,
max_epochs: int | None = -1,
early_stopping_patience: int | None = 5,
test_size: float = 0.1,
device: str = "auto",
Expand All @@ -114,6 +116,9 @@ def fit(
:param learning_rate: The learning rate.
:param batch_size: The batch size.
If this is None, a good batch size is chosen automatically.
:param min_epochs: The minimum number of epochs to train for.
:param max_epochs: The maximum number of epochs to train for.
If this is -1, the model trains until early stopping is triggered.
:param early_stopping_patience: The patience for early stopping.
If this is None, early stopping is disabled.
:param test_size: The test size for the train-test split.
Expand Down Expand Up @@ -158,7 +163,8 @@ def fit(

with TemporaryDirectory() as tempdir:
trainer = pl.Trainer(
max_epochs=500,
min_epochs=min_epochs,
max_epochs=max_epochs,
callbacks=callbacks,
val_check_interval=val_check_interval,
check_val_every_n_epoch=check_val_every_epoch,
Expand Down