How to verify that checkpoints work for SageMaker Spot Training?
0
Hi,
How can we know that checkpoint works before launching a sagemaker spot training job? Is there a way to force a regular checkpoint to s3 instead of waiting for the SIGTERM?
cheers
1 Answer
- Newest
- Most votes
- Most comments
0
Hi olivier, If you enable Sagemaker checkpointing , it periodically saves a copy of the artifacts into S3. I have used this in pytorch and it works by checkpointing periodically and the blog on Managed Spot Training: Save Up to 90% On Your Amazon SageMaker Training Jobs also mentions the same
To avoid restarting a training job from scratch should it be interrupted, we strongly recommend that you implement checkpointing, a technique that saves the model in training at periodic intervals
Relevant content
- Accepted Answer
asked 4 years ago - Accepted Answer
- Accepted Answer
AWS OFFICIALUpdated a year ago- AWS OFFICIALUpdated a year ago
- AWS OFFICIALUpdated 3 years ago
- AWS OFFICIALUpdated a year ago
