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_66d5cc2fd80c261712569556d43c19c4 ·
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 |
| 156 ms | scored |
| 2 | lxyuan/distilbert-base-multilingual-cased-sentiments-studentincumbent | accuracy 1.0macro_f1 1.0n 3 |
| 161 ms | scored |
Signed receipt
This result is bound to its task, candidates, scorecard, and winner.
sha256:237d3b2ea76f63fca1eff73dff558f2f512061cf5e32335a43d4f96c1b08eb12
Winner badge
Copy-paste Markdown:
[](https://run.huggingbay.xyz/bakeoffs/bo_66d5cc2fd80c261712569556d43c19c4)
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"}]}'