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 ·
Scorecard
| Rank | Model | Metrics | Predicted vs expected | Latency | Status |
|---|---|---|---|---|---|
| 1 | distilbert/distilbert-base-uncased-finetuned-sst-2-englishincumbentwinner | accuracy 1.0macro_f1 1.0n 3 | Not retained | 78 ms | scored |
| 2 | cardiffnlp/twitter-roberta-base-sentiment-latestincumbent | accuracy 1.0macro_f1 1.0n 3 | Not retained | 2081 ms | scored |
| 3 | cross-encoder/nli-deberta-v3-xsmallincumbent | accuracy 1.0macro_f1 1.0n 3 | Not retained | 407 ms | scored |
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[](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"}]}'