Skip to content

Multiple training runs leads to unstable results #1

@Archie-C

Description

@Archie-C

Hi,

After 5 or so runs of train and test.sh I have found that the results alternate between 3 rough states:

  • ~0.18 Jaccard
  • ~0.42 Jaccard
  • ~0.54 Jaccard
    Is there any explanation for this? It seems unreasonable to put this down to just model stochasticity. For context I am running it using Ubuntu 24.04.3 on an RTX 3090.

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