[jmullings]

Models Submitted

JMullings/spectral-embed-v2-140m (revision: 6943d55ebe5e317f00701b574c12d4f39ca6f03b)

Checklist

• My model has a model sheet, report, or similar
• My model has a reference implementation in mteb/models/model_implementations/, this can be as an API. Instruction on how to add a model can be found here
• No, but there is an existing PR: model: add JMullings/spectral-embed-v2-140m mteb#5716
• The results submitted are obtained using the reference implementation
• My model is available, either as a publicly accessible API or publicly on e.g., Huggingface
• I solemnly swear that for all results submitted I have not trained on the evaluation dataset including training splits. If I have, I have disclosed it clearly.

[KennethEnevoldsen]

@jmullings please fill out the checklist, notably on the reference implementation

[jmullings]

@KennethEnevoldsen The PR description and checklist are now fully updated and linked to PR #5716, and the 39 V2 task results have been pushed to this branch. As expected, the CI is currently failing with KeyError: Model 'JMullings/spectral-embed-v2-140m' not found in MTEB registry because it is waiting for #5716 to be reviewed and merged. Ready whenever you are!

[KennethEnevoldsen]

@jmullings checklist is not filled out

[jmullings]

@KennethEnevoldsen Apologies for the delay—the checklist is now filled out and linked to the reference implementation PR (embeddings-benchmark/mteb#5716).

[jmullings]

@KennethEnevoldsen embeddings-benchmark/mteb#5716 ready for review.

[jmullings]

@KennethEnevoldsen
All test are passing on embeddings-benchmark/mteb#5716, following the the removal of scikit-learn 1.6.1 package use. Version 2 should now be ready to merge. Many thanks..

[KennethEnevoldsen]

@jmullings you commented 3 times on this PR which is still waiting for embeddings-benchmark/mteb#5716 to be merged and is marked as such.

We will look into this once the model PR is merged.