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DNABERT-1, fine-tuning (NT benchmark)

DNABERT-1, fine-tuning: fine-tuning.

1 evaluation · 1 result

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Tested configurationProtocol and datasetFindingEvidence and details
Configuration: DNABERT-1, fine-tuning (NT benchmark)Protocol: NT benchmark normalised summed performance (Supplementary Table 9)
Dataset: NT benchmark, all 18 tasks
0.511 MCC (mean over three task categories of median cross-validation MCC)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DNABERT-1 (Finetuning) NT benchmark normalised summed performance

lit-genomics-20261011-ntbench-protocol-normalised-summed-performance

Aggregation: Not reported

Nucleotide Transformer: Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 9, row 'DNABERT-1', approach 'Finetuning', column 'Average performance'

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

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

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Stable ID: lit-genomics-20261011-ntbench-config-dnabert-1-fine-tuning

areas
dna-genomes
contexts
research
method types
foundation_model
reported name
DNABERT-1
foundation model eligible
true
parameters
fine-tuning; hyperparameters in Supplementary Tables 1 and 8
access reuse
Not stated in the tables
source locator
Supplementary Tables 6, 7 and 9 row labels
limitations
Supplementary Table 9 says only 'Finetuning' for DNABERT-1; whether parameter-efficient fine-tuning was used is not stated, and DNABERT-1 has no per-task row in Supplementary Table 7.
missing metadata
version: reason: unreported; note: Row label gives training data and parameter count only
provenance note
DNABERT-1 as evaluated in the NT benchmark, fine-tuning.
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