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Add periods for the documentation #8252

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Jul 2, 2021
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Add periods for the documentation #8252

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4 changes: 2 additions & 2 deletions pytorch_lightning/callbacks/model_checkpoint.py
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Expand Up @@ -102,7 +102,7 @@ class ModelCheckpoint(Callback):
saved (``model.save_weights(filepath)``), else the full model
is saved (``model.save(filepath)``).
every_n_train_steps: Number of training steps between checkpoints.
If ``every_n_train_steps == None or every_n_train_steps == 0``, we skip saving during training
If ``every_n_train_steps == None or every_n_train_steps == 0``, we skip saving during training.
To disable, set ``every_n_train_steps = 0``. This value must be ``None`` or non-negative.
This must be mutually exclusive with ``train_time_interval`` and ``every_n_val_epochs``.
train_time_interval: Checkpoints are monitored at the specified time interval.
Expand All @@ -111,7 +111,7 @@ class ModelCheckpoint(Callback):
guaranteed to execute at the exact time specified, but should be close.
This must be mutually exclusive with ``every_n_train_steps`` and ``every_n_val_epochs``.
every_n_val_epochs: Number of validation epochs between checkpoints.
If ``every_n_val_epochs == None or every_n_val_epochs == 0``, we skip saving on validation end
If ``every_n_val_epochs == None or every_n_val_epochs == 0``, we skip saving on validation end.
To disable, set ``every_n_val_epochs = 0``. This value must be ``None`` or non-negative.
This must be mutually exclusive with ``every_n_train_steps`` and ``train_time_interval``.
Setting both ``ModelCheckpoint(..., every_n_val_epochs=V)`` and
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