AutoScientist Competition — Dataviz Model
Qwen2.5-0.5B-Instruct adapted for dataviz via Adaption Labs AutoScientist v5: 4-bit QLoRA SFT (r=32, alpha=64) then DPO (beta=0.1) on chosen/rejected pairs.
- DPO reward accuracy: 0.9090909090909091
- DPO reward margin: 9.423654426227916
Dataset: Rishidar/autoscientist-dataviz-dataset. Also mirrored on Kaggle: rishidard/autoscientist-dataviz-qlora.
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