feat: experiment with different dimensions for OpenAI models on MTEB(Medical)
#78
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
As discussed in #71, this PR evaluates both
text-embeddings-3-small
(256, 512, 768, 1024) andtext-embeddings-3-large
(256, 512, 768, 1024, 1536) on theMTEB(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
make test
.make pre-push
.