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feat: experiment with different dimensions for OpenAI models on MTEB(Medical) #78

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@dbuades dbuades commented Dec 20, 2024

As discussed in #71, this PR evaluates both text-embeddings-3-small (256, 512, 768, 1024) and text-embeddings-3-large (256, 512, 768, 1024, 1536) on the MTEB(Medical) benchmark.

This is a total of 9 combinations, currently stored in 9 separate folders. Code used to run the models can be found in this commit, following the approach described here.

I'll leave the PR in draft for now and we can use it to explore different ways to display experiments in the leaderboard without adding new model duplicates.

Thanks again @Muennighoff for providing the API key!

Checklist

  • Run tests locally to make sure nothing is broken using make test.
  • Run the results files checker make pre-push.

@dbuades dbuades marked this pull request as draft December 20, 2024 13:39
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