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@mialsy mialsy commented Jul 21, 2022

Description

  • Added backend implementation to send best model's loss and accuracy via socket
    • get_best_model_loss_acc_by_id
      • get loss and accuracy from a model log for a specific run's best model, the loss and accuracy infomation is reterived by crawling the best model's log file
      • input:
        • batch id of a specific run
      • output:
        • a dictionary containing:
          • epoch loss and accuracy
          • text_span loss and accuracy
        • or an error code indicating the best model log cannot be find
  • Added utils for reading model log to extract loss and accuracy data
  • Added a frontend block for viewing loss and accuracy (right now only showing data in the alert, will create a new PR for visualizing the accuracy and loss in a graph)

Type of change

Please check the options that are relevant.

  • Bug fix (non-breaking change that fixes an issue)
  • Proposes a change (non-breaking change that isn't necessarily a bug)
  • Refactor
  • New feature (non-breaking change that adds a new functionality)
  • Breaking change (fix or feature that would break some existing functionality downstream)
  • This is a unit test
  • Documentation only change
  • Datasets Release
  • Models Release

Type of requested review

  • I want a thorough review of the implementation.
  • I want a high level review.
  • I want a deep design review.

Before and After

  • Demo:
    • demo_model_loss_acc_backend

Testing

Manually tested

Checklist:

  • I have performed manual end-to-end testing of the feature in my environment.
  • I have added Docstrings and comments to the code.
  • I have made changes to existing documentation where needed.
  • I have added tests that show that the PR is functional.
  • New and existing unit tests pass locally with my changes.
  • I have added relevant collaborators to review the PR before merge.
  • [Polymetis only] I ran on hardware (1) all scripts in tests/scripts, (2) asv benchmarks.

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Jul 21, 2022
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@ethan-carlson ethan-carlson left a comment

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LGTM, thanks!

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Hi @mialsy!

Thank you for your pull request.

We require contributors to sign our Contributor License Agreement, and yours needs attention.

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4 participants