gfm-guide-20261014-eval-hegde-nt-500m-human-ref-convergence: attributes.comparison.adaptation
Comparison: adaptation of NT 500M human reference, fine-tuning time to convergence (Hegde et al. 2025)
LoRA parameter-efficient fine-tuning (peft; r=1, lora_alpha=32, lora_dropout=0.1)
The evaluation said full fine-tuning. Hegde et al. 2025 list LoRA parameter-efficient fine-tuning through peft for this model; the configuration record of the 5-epoch run already says so. Historical releases retain the previous value.
Evidence
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Evidence table
Inspect claims, sources and review details
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field attributes.comparison.adaptation Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Previous value Full fine-tuning Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed value LoRA parameter-efficient fine-tuning (peft; r=1, lora_alpha=32, lora_dropout=0.1) Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Description The evaluation said full fine-tuning. Hegde et al. 2025 list LoRA parameter-efficient fine-tuning through peft for this model; the configuration record of the 5-epoch run already says so. Historical releases retain the previous value. Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: subject gfm-guide-20261014-eval-hegde-nt-500m-human-ref-convergence Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name gfm-guide-20261014-eval-hegde-nt-500m-human-ref-convergence: attributes.comparison.adaptation Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1') Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction · Original source · Genes 16(11):1358, 2025; PMC12652071 full-text XML
Technical metadata and extraction receipts
Stable ID: metadata-correction-gfm-guide-20261014-hegde-nt-500m-human-ref-convergence-adaptation
- field
- attributes.comparison.adaptation
- previous value
- Full fine-tuning
- value
- LoRA parameter-efficient fine-tuning (peft; r=1, lora_alpha=32, lora_dropout=0.1)
- source locator
- gfm-guide-20261014-source-hegde2025: Appendix A.3 ('Parameter-efficient fine-tuning using the peft package: r = 1; lora_alpha = 32; lora_dropout = 0.1')
- review
- method: source-hash-verification; scope-review; reviewer: claude; reviewer note: Claude (Opus 5.5) review agent review-169, independent of the agent that drafted these judgements for issue #162; no human review claimed; date: 2026-10-14; note: Applied by the independent reviewer of PR #169. See docs/reviews/use-cases/diagnostic-genomics-model-execution-judgements-2026-10-14.md.