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retroib/qwen2.5-14b-exiobase-lora
qwen2.5-14b-exiobase-lora is a text generation model from retroib. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as other.
LoRA adapter mapping free-text procurement items to one of 83 EXIOBASE emission-factor activities, returning JSON: {activity, reason, confidencelevel}.
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From the Hugging Face model README
LoRA adapter mapping free-text procurement items to one of 83 EXIOBASE emission-factor activities, returning JSON: {activity, reason, confidence_level}.
| Metric | Embed NN | Zero-shot | + rule book | + LoRA |
|---|---|---|---|---|
| Exact (gold-20) | 30.0 | 55.0 | 95.0* | 95.0 |
| Exact (silver-51) | 49.0 | 45.1 | 58.8 | 76.5 |
| Sector (silver-51) | 56.9 | 58.8 | 68.6 | 84.3 |
On the unleaked silver-51 test, fine-tuning adds +17.7 exact points over the in-context base and +27.5 over the embedding baseline. (*gold rule-book scores are optimistic - the rule book was partly derived from the gold items.)
Base Qwen2.5-14B-Instruct (4-bit). LoRA via Unsloth + TRL, r=16 a=16, 2 epochs, lr 2e-4. 498 silver labels from a Qwen2.5-32B teacher, cross-checked by Claude + Gemini, frozen disjoint split. Teacher and student both open-source.
The reason field was trained on a placeholder and is not informative. Coverage spans 56 of 83 activities; long-tail classes are weak.
Code, notebook and writeup: https://github.com/ibrahim-2337/carbonsifr-exiobase-mapping