NT 500M human reference, fine-tuned to convergence (Hegde et al. 2025)
InstaDeepAI/nucleotide-transformer-500m-human-ref fine-tuned to convergence of the validation loss on 2 × NVIDIA TITAN Xp.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: NT 500M human reference, fine-tuned to convergence (Hegde et al. 2025) | Protocol: Fine-tuning wall time to convergence on the Enformer eQTL dataset (Hegde et al. 2025 Methods) Dataset: Enformer eQTL causal-variant dataset, Genomics Long-Range Benchmark version (Hegde et al. 2025) | approximately 19 Runtime (Fine-tuning to convergence, unpruned model) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNT 500M human reference, fine-tuning time to convergence (Hegde et al. 2025) gfm-guide-20261014-protocol-hegde-eqtl-finetune-convergence-time Aggregation: Not reported Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction · Methods paragraph 3: 'training to convergence on 2 × NVIDIA TITAN Xp GPUs took approximately 19 h' |
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
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- 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: gfm-guide-20261014-config-hegde-nt-500m-human-ref-convergence
- areas
- dna-genomes
- contexts
- research
- method types
- foundation_model
- reported name
- Nucleotide Transformer
- checkpoint
- InstaDeepAI/nucleotide-transformer-500m-human-ref
- hardware
- description: 2 × NVIDIA TITAN Xp GPUs
- source locator
- Methods paragraph 3; Appendix A.1
- missing metadata
- version: reason: unreported; note: Hugging Face repository named without a revision
Related records
- configuration of: Nucleotide Transformer
- system: NT 500M human reference, fine-tuning time to convergence (Hegde et al. 2025)