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  1. README.md +54 -0
  2. best.pt +3 -0
  3. manifest.json +27 -0
  4. metrics.json +212 -0
  5. predictions_preview.jsonl +0 -0
  6. training_log.jsonl +422 -0
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ tags:
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+ - dna
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+ - enhancer-generation
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+ - mdlm
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+ - autoregressive
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+ - ntv3
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+ - unconditional-baseline
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+ ---
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+
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+ # NTV3-AR-650M unconditional enhancer generator (T1)
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+
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+ Unconditional NTv3 generation baseline for the brain 7-cell
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+ enhancer task. There is **no cell-type signal** at training or
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+ inference time, so this model learns ``p(enhancer)`` and emits a
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+ single mode-collapsed enhancer for every gold input regardless of
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+ the requested cell type. Useful as a lower bound for cell-type
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+ specificity (see the MDLM/AR rows in
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+ [explcre/biomodel_reasoning_calling_study2](https://github.com/explcre/biomodel_reasoning_calling_study2)
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+ ``regureasoner_loop/docs/EXPERIMENTS.md``).
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+
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+ Trained on `train.enhancer_generation.strat7c.n35k` (35k rows
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+ stratified across 7 brain cell types). MDLM-8m / MDLM-650m use the
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+ weighted-CE diffusion loss (1/t schedule); AR-650m uses standard
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+ next-token CE.
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+
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+ ## Files
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+
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+ ```
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+ best.pt # EMA / best-checkpoint state dict
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+ metrics.json # 28-column eval against gold n7k held-out test
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+ training_log.jsonl # per-step train metrics
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+ manifest.json # run config snapshot
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+ predictions_preview.jsonl # first 200 sampled rows (for spot-check)
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+ ```
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+
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+ ## Headline eval (held-out gold n7k)
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+
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+ | parse_rate | argmax_acc | on_target | off_target | specificity | FID |
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+ |---:|---:|---:|---:|---:|---:|
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+ | 1.000 | 0.150 | -16.296 | -16.339 | 0.042 | 75.584 |
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+
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+
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+ Random argmax baseline over 7 cells = 0.143; the unconditional
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+ baselines all sit at chance because the model has no signal to
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+ differentiate cell types. FID is misleadingly low (the average
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+ enhancer is statistically plausible) but cell-type recall is
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+ absent — see the cell-type-conditioned MDLM repos for the
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+ conditional fix.
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+
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+ ## Citation
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+ See the parent repo's `EXPERIMENTS.md` for the full per-baseline
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+ comparison table.
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+ size 1317642957
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+ "mode": "min",
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