Skip to content

Upload model checkpoints to S3 #12

Description

@eihli

Right now they're only saved to local disk. Would be nice to have the option to persist them remotely. Although... maybe to disk synchronously and then to S3 in a background thread?

See

def save_checkpoint(self, losses: dict[str, float]) -> None:

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions