feature: loss watchdog for terminating training runs that are failing #899
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
kallewoof
force-pushed
the
202311-loss-watchdog
branch
from
847030b
to
218592f
Compare
kallewoof
force-pushed
the
202311-loss-watchdog
branch
from
218592f
to
49c9cd7
Compare
mkeoliya
pushed a commit
to mkeoliya/axolotl
that referenced
this pull request
Dec 15, 2023
…axolotl-ai-cloud#899) Co-authored-by: Karl-Johan Alm <kalle@gmail.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This adds a loss watchdog, which will stop the trainer if the loss exceeds the given threshold for more than
loss_watchdog_patiencesteps (in a row). It is useful to prevent using a bunch of resources to keep training when the model has broken down.