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duckking032/vital-jepa-v2
vital-jepa-v2 is a machine learning model from duckking032. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as other.
Audio JEPA encoder trained from scratch on 74,685 parameter-aware renders made with the Vital 1.6.4 standalone renderer.
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Updated Jul 10, 2026
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From the Hugging Face model README
Audio JEPA encoder trained from scratch on 74,685 parameter-aware renders made with the Vital 1.6.4 standalone renderer.
The training corpus is published under
duckking032/vital/augmented_v1_22050_mono_6s. It contains 74,685 accepted
renders derived from 7,394 unchanged parent presets. Variants include
category-aware MIDI notes and deterministic mutations of macros, filters,
amplitude envelopes, oscillator timbre, unison, active modulation, and active
effects.
All variants of a parent preset are assigned to the same split. The model saw 70,974 clips from 7,022 parents during training; validation used 3,711 clips from 370 entirely unseen parents.
The online encoder receives 40% context patches. A predictor reconstructs 40% target patches in the latent space of an exponential-moving-average target encoder.
The selected checkpoint is step 15,000. Later checkpoints achieved lower masked loss but weaker semantic retrieval, so selection used cross-parent same-category retrieval rather than loss alone.
Evaluation uses 3,711 variants from 370 held-out parents. A query is forbidden from retrieving another variant of its own parent, preventing augmented siblings from inflating the scores.
| Model | Masked val loss | Top-1 | Top-5 | MRR@10 |
|---|---|---|---|---|
| Published V1 | 0.10759 | 32.47% | 54.11% | 0.4220 |
| V2 step 15,000 | 0.08507 | 35.65% | 56.53% | 0.4494 |
The validation set was also used for checkpoint selection, so these metrics should not be treated as a final untouched-test estimate. A future release should reserve a third parent-held-out test split.
This model is a retrieval and initialization baseline for editable Vital sound design. It is not an exact audio-to-preset reconstruction system, and category retrieval is only a coarse proxy for perceptual usefulness.
checkpoints/jepa_v2/selected.pt is the optimizer-free selected checkpoint.
See eval_runs/jepa_v2/ for the full comparison, controlled V1 baseline, V2
evaluation report, and validation embeddings.