| --- |
| license: apache-2.0 |
| pretty_name: AdapterCast LoRA Trajectory Corpus |
| tags: |
| - lora |
| - peft |
| - training-dynamics |
| - trajectory-forecasting |
| - learning-dynamics |
| size_categories: |
| - n<1K |
| --- |
| |
| # AdapterCast LoRA Trajectory Corpus |
|
|
| Dense LoRA fine-tuning trajectories (adapter weight snapshots + gauge-invariant |
| spectral features) for research on fine-tuning dynamics and trajectory forecasting. |
| Companion dataset to the AdapterCast paper (theory: GL(r) gauge structure of LoRA; |
| measurements: balancedness decay law, Adam pump, regime map; machine: the |
| NeuralGraphLoRA forecaster). |
|
|
| ## Layout (per run) |
| - `trajectory.dat.zst` — zstd fp16 memmap, shape (n_states, n_params), flat |
| `named_parameters()` order (NiNo SGDDataset-compatible); factor layout in |
| `meta.json` (param_specs). Snapshot cadence: see `config.json` (`snapshot_every`). |
| - `metrics.npz` — per-snapshot σ spectra (T, modules, r), balancedness ‖BᵀB−AAᵀ‖_F, |
| power sums, train/eval loss, probe log-probs; `meta_json` echoes pinned HF dataset |
| revisions + library versions for exact reproduction. |
| - `config.json` / `meta.json` — full run config; snapshot bookkeeping. |
|
|
| ## Families |
| `c1_*` E1 meta-training corpus (Qwen3-0.6B-Base, r∈{4,8,16}, 12 tasks + 9 canonical |
| mixtures, 600 steps) · `e2_*` optimizer/long-horizon dynamics arms · `t1/2a/2b/2bx_*` |
| the E0 measurement program (incl. 1.7B/4B scale rows and gauge-twin experiments). |
|
|
| ## Held-out protocol |
| `manifest.json` echoes the frozen train/held-out splits (tasks, ranks {32,64}, |
| scale) — pre-registered BEFORE meta-training (git tags `e1-freeze`, `e2-freeze`). |
|
|
| Note: `smoke_*` pipeline-validation runs are inventoried in `manifest.json` for |
| completeness but are not shipped in this dataset. |
|
|
| ## Reproduction |
| Code: the `adaptercast` repository (deterministic pipeline — replicate runs are |
| bit-identical on one host; dataset revisions pinned in each run's provenance). |
|
|
| License: Apache-2.0. Base model: Qwen3-0.6B/1.7B/4B-Base (Apache-2.0). Source |
| datasets retain their upstream licenses (see provenance). |
|
|
