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yelp-sentiment-aurora-islamamro
Islamamro/yelp-sentiment-aurora-islamamro
yelp-sentiment-aurora-islamamro is a text classification model from Islamamro. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Text classifier fine-tuned from microsoft/MiniLM-L12-H384-uncased on SetFit/sst2 (2 classes).
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401 MB on disk
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 28, 2026
- Updated
- Aug 29, 2026
- SHA
- 9717e031
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Base models
Datasets
Model card
From the Hugging Face model README
Yelp Sentiment - Aurora - islamamro
Text classifier fine-tuned from microsoft/MiniLM-L12-H384-uncased on SetFit/sst2 (2 classes).
Built, trained and published end-to-end via the Aurora Research Portal by islamamro. Trained on CPU on a 1200-example demo subset.
- Base model:
microsoft/MiniLM-L12-H384-uncased(~33M parameters) - Held-out accuracy: 0.8667
- Held-out macro-F1: 0.8663
Honest scope
This is a demonstration of the Aurora build -> train -> publish pipeline on a small subset, not a production model. Model size here is set by the base architecture, which is varied deliberately across the Aurora showcase to span a range of parameter counts. For production, fine-tune on the full dataset.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 28, 2026
- Updated
- Aug 29, 2026