rewirebio.iobenchmarks
Evaluation

NT 500M human reference, fine-tuning time to convergence (Hegde et al. 2025)

Published result; transcribed, not reproduced.

Evaluation results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence 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 checked
Methods, coverage and source

NT 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'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

Research readiness

0 of 4 readiness checks met. These checks assess whether the evidence supports a reproducible investigation; a source-checked score alone does not meet them.

Readiness checks, gaps and artifacts

Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

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  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified
  • Sample annotations are recorded: not yet verified
  • Dependence between samples is assessed: not yet verified

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

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  • File checksums match the recorded files: not yet verified
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  • A pinned run recipe exists: not yet verified
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Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

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  • File checksums match the recorded files: not yet verified
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Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Evaluation procedure

Fine-tuning wall time to convergence on the Enformer eQTL dataset (Hegde et al. 2025 Methods)

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)
origin
Independent external evaluation
configuration
Primary source as retrieved 2026-10-14
dataset version
Not reported
split
Benchmark train split for fine-tuning; evaluation split for evaluation
population
Enformer eQTL causal-variant sequences
inputs
Variant-centred DNA sequences
adaptation
LoRA parameter-efficient fine-tuning (peft; r=1, lora_alpha=32, lora_dropout=0.1)
metric implementation
Not reported
aggregation
Approximate wall time as stated
budget
Until validation-loss convergence
protocol id
gfm-guide-20261014-protocol-hegde-eqtl-finetune-convergence-time

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split
Benchmark train split for fine-tuning; evaluation split for evaluation
Adaptation
LoRA parameter-efficient fine-tuning (peft; r=1, lora_alpha=32, lora_dropout=0.1)
Scoring implementation
Not reported

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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.

18 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Comparison: aggregation
Approximate wall time as stated
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: budget
Until validation-loss convergence
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: dataset version
Not reported
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: inputs
Variant-centred DNA sequences
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: metric implementation
Not reported
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: population
Enformer eQTL causal-variant sequences
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.population

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: protocol id
gfm-guide-20261014-protocol-hegde-eqtl-finetune-convergence-time
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: split
Benchmark train split for fine-tuning; evaluation split for evaluation
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Origin
independent_paper
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.origin

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Protocol
gfm-guide-20261014-protocol-hegde-eqtl-finetune-convergence-time
Context-only references
Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction

Original source ↗

Methods paragraph 3

Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML
Retrieved: 2026-10-14T12:48:26Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.protocol

Source artifact SHA-256: 9ea68b688637b40f0aeced7c905822f6b14c352a3a935c61c407945f3d66ef47

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

How to read the evidence

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: gfm-guide-20261014-eval-hegde-nt-500m-human-ref-convergence

areas
dna-genomes
contexts
research
origin
independent_paper
protocol
gfm-guide-20261014-protocol-hegde-eqtl-finetune-convergence-time
version
Primary source as retrieved 2026-10-14
comparison
dataset version: Not reported; split: Benchmark train split for fine-tuning; evaluation split for evaluation; population: Enformer eQTL causal-variant sequences; inputs: Variant-centred DNA sequences; adaptation: LoRA parameter-efficient fine-tuning (peft; r=1, lora_alpha=32, lora_dropout=0.1); metric implementation: Not reported; aggregation: Approximate wall time as stated; budget: Until validation-loss convergence; protocol id: gfm-guide-20261014-protocol-hegde-eqtl-finetune-convergence-time
source locator
Methods paragraph 3
missing metadata
comparison.dataset version: reason: unreported; comparison.metric implementation: reason: unreported
training hardware
2 × NVIDIA TITAN Xp
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