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Nhoodie/omni-dna-ici-dc-bootstrap
omni-dna-ici-dc-bootstrap is a machine learning model from Nhoodie. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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From the Hugging Face model README
These bootstrap models are part of a degeneracy chain. The ICI-DC bootstrap S1 was trained on synthetic data generated by a model (S2-coeff1.5) that itself had underfit during training. The bootstrap S2 was then fine-tuned on that degraded S1. Each generation of fine-tuning further degraded the base model's innate mutation discrimination capability (base Omni-DNA-20M achieves 0.951 AUC raw DNA; these models achieve ~0.30 AUC).
The SAD coefficient reported for the bootstrap S2 (~12.03 LR-adjusted) is a mathematical artifact of the training configuration, not an indicator of genuine training convergence.
These models are preserved for historical and reproducibility purposes only.
Omni-DNA-20M fine-tuned on 8,112 bootstrap synthetic mutation pairs via ICI-DC pre-training.
| Axis | Metric | Score |
|---|---|---|
| Mutation Detection | F1 | 0.667 |
| Embedding Distance | Seq AUC | 0.543 |
| Masked Prediction | Surprise Δ | −1.00 |
| Discriminative | AUC | 0.306 |