Public bake-off · classify

Best small model for Classify customer feedback by sentiment

Winner: distilbert/distilbert-base-uncased-finetuned-sst-2-english incumbent

Resident family incumbents were compared on the submitted labels.

Bake-off bo_208894ae63dbdb276d965e081fac4f0a ·

Are you the winning model’s author?

Add this exact line to the winner’s public Hugging Face README.md, then call the claim endpoint with its repo id.

Bay-Run-Claim: bo_208894ae63dbdb276d965e081fac4f0a · sha256:f6f02aaaad877d496951cab3b3cacb1a58b8b7535c39082cfb4376a274144583

Scorecard

RankModelMetricsPredicted vs expectedLatencyStatus
1distilbert/distilbert-base-uncased-finetuned-sst-2-englishincumbentwinneraccuracy 1.0macro_f1 1.0n 3Not retained78 msscored
2cardiffnlp/twitter-roberta-base-sentiment-latestincumbentaccuracy 1.0macro_f1 1.0n 3Not retained2081 msscored
3cross-encoder/nli-deberta-v3-xsmallincumbentaccuracy 1.0macro_f1 1.0n 3Not retained407 msscored

Signed receipt

This result is bound to its task, candidates, scorecard, and winner.

sha256:f6f02aaaad877d496951cab3b3cacb1a58b8b7535c39082cfb4376a274144583

Winner badge

Bay Run bake-off winner badge

Copy-paste Markdown:

[![Bay Run bake-off winner · receipted](https://run.huggingbay.xyz/bakeoffs/bo_208894ae63dbdb276d965e081fac4f0a/badge.svg)](https://run.huggingbay.xyz/bakeoffs/bo_208894ae63dbdb276d965e081fac4f0a)

Reproduce it

The first bake-off is anonymous. Run the same labeled request directly:

curl -sS https://run.huggingbay.xyz/v1/bakeoff -H 'Content-Type: application/json' --data '{"task_description":"Classify customer feedback by sentiment","examples":[{"input":"Setup took two minutes and works perfectly.","expected":"positive"},{"input":"The checkout is broken and I want a refund.","expected":"negative"},{"input":"I love how fast the search feels.","expected":"positive"}]}'