babihoba/supertonic3-optimization-data

Supertonic 3 original-teacher distillation trajectories

The current F1200 reproduction data is round5/. These are synthetic latent tensors generated by the original FP32 CFG4, 50-step teacher, Supertone/supertonic-3, pinned revision 3cadd1ee6394adea1bd021217a0e650ede09a323. They are not generated by a distilled student, and contain no human speech recordings.

• round5/trajectories-original50-round5.tar.gz:640training pairs from80unique authored sentences and128validation pairs from16unique sentences. A single voice/seed case per sentence supplies eight input/target pairs. No test trajectories were collected.
• The teacher's50-step latent states are linearly interpolated to the eight-step student grid. The final target is the exact original50-step final latent. Intermediate interpolated states are not equivalent to running the teacher for eight steps.
• round5/extracted_manifest.json: size/SHA256 for each of769archive members (768NPZ plus manifest). Archive members are relative paths under trajectories-original50-round5/, with no symlinks, owner names or machine-specific paths.
• round5/corpus.json: authored text used for collection. Existing evaluation sets are consumed; use a newly fixed independent set for future model selection.
• Root asset_manifest.json: size/SHA256 for the compressed archive and every other published artifact.

The original trajectories-v2/ remains available for historical B reproduction:1,600training pairs from40unique sentences across five voice/seed cases, and64validation pairs. Do not mix it into the F1200 reproduction run.

Matching initialization and final weights: F1200 model repository. Source: GitHub project, original50 collection and training record. Training requires more memory than the approximately1GB inference benchmark host. This small synthetic corpus does not establish broad language, speaker or perceptual quality. Applicable upstream Open RAIL-M restrictions apply; the source repository's code license does not replace them.