Hate Speech - Aurora - islamamro

Text classifier fine-tuned from bert-base-uncased on SetFit/hate_speech_offensive (3 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: bert-base-uncased (~109M parameters)
  • Held-out accuracy: 0.8533
  • Held-out macro-F1: 0.5393

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.

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