Islamamro/yelp-sentiment-aurora-islamamro

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.