Public bake-off · classify
Best small model for Classify the sentiment of a customer message as positive or negative
Winner: distilbert/distilbert-base-uncased-finetuned-sst-2-english incumbent
Resident family incumbents were compared on the submitted labels.
Bake-off bo_cc6232f5ae64f81ad6687be4bc4a3c01 ·
Scorecard
| Rank | Model | Metrics | Predicted vs expected | Latency | Status |
|---|---|---|---|---|---|
| 1 | distilbert/distilbert-base-uncased-finetuned-sst-2-englishincumbentwinner | accuracy 1.0macro_f1 1.0n 4 |
| 917 ms | scored |
| 2 | lxyuan/distilbert-base-multilingual-cased-sentiments-studentincumbent | accuracy 1.0macro_f1 1.0n 4 |
| 920 ms | scored |
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sha256:61807ce6a33b5f9992f5e1095978a5f9affb615e293b8d63f85112257c0a0df9
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[](https://run.huggingbay.xyz/bakeoffs/bo_cc6232f5ae64f81ad6687be4bc4a3c01)
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 the sentiment of a customer message as positive or negative","examples":[{"input":"I love this, it works perfectly","expected":"positive"},{"input":"This broke after two days and support ignored me","expected":"negative"},{"input":"Absolutely fantastic experience","expected":"positive"},{"input":"Terrible, would not recommend","expected":"negative"}]}'