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Releases: hearbenchmark/hear-eval-kit

v2021.1.3

03 Jun 23:42
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Minor update to URLS within codebase and READMEs to reflect the updated organization name and transition to HEAR Benchmark from the NeurIPS challenge.

What's Changed

Full Changelog: v2021.1.2...v2021.1.3

v2021.1.2

03 May 06:38
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Bugfix to support changes made in PyTorch Lightning 1.6

What's Changed

  • Update task_predictions.py by @ltetrel in #363 - fixes issue caused by test_dataloaders parameter removed from Trainer.test in PyTorch Lightnin. See Lightning-AI/pytorch-lightning#10325
  • Fix event prediction model epochs by @jorshi in #364 - fixes issue caused by the current_epoch now being updated after the training step during training in PyTorch Lightning. See Lightning-AI/pytorch-lightning#8578
  • pytorch-lightning>=1.6 is now required. Ran tests to confirm that evaluation results are not affected by this update.

New Contributors

Full Changelog: v2021.1.1...v2021.1.2

v2021.1.1

23 Mar 00:51
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  • Many README updates
  • heareval.embedding race condition bugfix:
    If heareval.embedding for the same (model, task) was running twice simultaneously, it was previously possible that the second job would remove embeddings and crash and the first job would run prediction over truncated embeddings. Now, the first job will crash before embedding is complete, and if heareval.embedding is run again it will just start from scratch.

v2021.1.0

21 Jan 18:41
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Version used for HEAR 2021 evaluations

Updates in this release include:

  • Support for k-fold datasets
  • Added new metrics: MAP, D', AUCROC
  • Updates to ScoringFunction to validate return type
  • Improved logging
  • Updated Docker

v2021.0.5

13 Sep 18:44
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  • Downstream training on open tasks, as shown in the leaderboard
  • Detailed instructions how to run downstream training