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duckking032/vital-jepa-v4
vital-jepa-v4 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.
V4 trains the JEPA representation around continuous acoustic properties rather than treating PresetShare labels as the main objective. It uses 74,627 stereo renders produced by Vital 1.6.4 from 7,394 unchanged parent…
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Updated Jul 11, 2026
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From the Hugging Face model README
V4 trains the JEPA representation around continuous acoustic properties rather than treating PresetShare labels as the main objective. It uses 74,627 stereo renders produced by Vital 1.6.4 from 7,394 unchanged parent presets.
The pooled representation predicts 15 normalized continuous descriptors:
Training also includes:
Taxonomy supervision remains a low-weight diagnostic. The old generic recipe classification and raw parameter-delta losses have zero weight in V4.
The final step was selected by maximum held-out mean acoustic-feature correlation, with cross-parent retrieval as the secondary criterion.
Every retrieval query excludes all variants sharing its parent preset.
| Metric | Result |
|---|---|
| Mean descriptor correlation | 0.8373 |
| Mean descriptor MAE | 0.0426 |
| Coarse retrieval top-1 | 48.43% |
| Coarse retrieval top-5 | 67.33% |
| Coarse MRR@10 | 0.5718 |
| Fine retrieval top-1 | 37.37% |
| Fine retrieval top-5 | 52.70% |
| Fine MRR@10 | 0.4472 |
| Coarse-category head accuracy | 64.74% |
| Mutation feature-delta cosine | 0.2831 |
| Mutation feature-delta MAE | 0.0270 |
Selected descriptor correlations include 0.972 for RMS level, 0.943 for spectral centroid, 0.905 for modulation depth, 0.906 for stereo width, and 0.905 for stereo correlation.
Spectral flux (0.579 correlation), channel imbalance (0.491), and mutation direction prediction (0.283 cosine) remain substantially weaker than the core level, spectrum, envelope, and stereo features. The descriptors are practical signal-analysis targets, not a complete model of human timbre perception.
This encoder is intended for retrieval and as an initialization for editable Vital sound design. It does not directly recover a complete synthesizer preset.
checkpoints/jepa_v4/selected.pt is the optimizer-free selected checkpoint.
The evaluation reports and training log are included for reproducibility.