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Alexander ShraerGoogle-ML-Automation
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Fix link to checkpointing flags, and flag name
PiperOrigin-RevId: 896565818
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docs/reference/core_concepts/checkpoints.md

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@@ -89,7 +89,7 @@ MaxText automatically saves checkpoints periodically during a training run. Thes
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- `base_output_directory`: Specifies the GCS bucket directory where checkpoints will be saved.
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- `enable_checkpointing`: A boolean to enable or disable checkpointing.
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- `async_checkpoint`: Support training and checkpoint saving at the same time.
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- `async_checkpointing`: Support training and checkpoint saving at the same time.
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- `checkpoint_period`: The interval, in training steps, at which to save a new checkpoint.
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Furthermore, MaxText supports emergency checkpointing, which saves a local copy of the checkpoint that can be restored quickly after an interruption.
@@ -99,6 +99,6 @@ Furthermore, MaxText supports emergency checkpointing, which saves a local copy
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- `local_checkpoint_directory`: The local path for storing emergency checkpoints.
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- `local_checkpoint_period`: The interval, in training steps, for saving local checkpoints.
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More configs about checkpoints can be found in [here](https://github.com/AI-Hypercomputer/maxtext/blob/fafdeaa14183a8f5ca7b9f7b7542ce1655237574/src/MaxText/configs/base.yml#L23-L65).
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Additional configs related to checkpoints can be found [here](https://github.com/AI-Hypercomputer/maxtext/blob/82ece9d9e6491e320f59b462eed342e6f08309c8/src/maxtext/configs/base.yml#L32-L92).
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For practical guides on checkpointing, please refer to [](checkpointing_solutions).
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For more extensive information and practical guides on checkpointing, please refer to [](checkpointing_solutions).

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