vat3-24k: publish milestone-3 full-VAT checkpoint (mixed verdict) + registry row

Energy PASS, tension near-pass, valence FAIL on the corrected instrument -
kept as the warm-start seed for the v1.1 story-driven continuation.

Co-Authored-By: Ziggy <ziggy@artificialhumanity.io>
Claude-Session: https://claude.ai/code/session_01RUFyXDHbjtt9ong7EWZAqy

README.md

@@ -36,7 +36,8 @@ audited milestone artifact with its own README, eval report, and provenance.
 ## Registry index
 
 > **Current trunk:** `derisk-energy-24k` (acoustic) + `vocoder-24k-hifigan` (vocoder) —
-> the 24 kHz multi-speaker line. Next up: full 3-channel VAT (in progress).
+> the 24 kHz multi-speaker line. Next up: the v1.1 VAT continuation (story-driven valence
+> corpus), warm-starting from `vat3-24k`.
 > Machine-readable lineage: [`registry.json`](./registry.json).
 
 
@@ -45,6 +46,7 @@ audited milestone artifact with its own README, eval report, and provenance.
 | [`baseline-ljspeech-22k/`](./baseline-ljspeech-22k) | **Phase 0** | Single-speaker LJSpeech fine-tune, 22.05 kHz, end-to-end graphs (ONNX + TFLite) and the LiteRT split-graph mobile lane. *(Renamed from `v1-ljspeech` on 2026-07-22 — update old deep links.)* | Published 2026-07-12 |
 | [`vocoder-24k-hifigan/`](./vocoder-24k-hifigan) | 24 kHz trunk — vocoder | HiFi-GAN vocoder fine-tune, 24 kHz / 80-band — the vocoder pairing for the multi-speaker line. Converged + human-audited (copy-synthesis A/B indistinguishable). | Published 2026-07-16 |
 | [`derisk-energy-24k/`](./derisk-energy-24k) | **Expressive de-risk** (north-star §7) | First trained expressive channel: energy/arousal FiLM conditioning, multi-speaker (247 spk, LibriTTS-R), 24 kHz. Controllability ρ≈1.0, identity-preserving, WER-safe; includes the VAT-ready LiteRT split-graph export. | Published 2026-07-16 |
+| [`vat3-24k/`](./vat3-24k) | **Full 3-channel VAT** (milestone 3) | First all-three-channels training (valence/energy/tension FiLM), warm-started from `derisk-energy-24k`. **Mixed verdict**: energy PASS, tension near-pass, valence FAIL — a corpus-label limitation, not a training one (see its README). Warm-start seed for the v1.1 continuation. | Published 2026-07-22 |
 
 Directory names are deliberately **descriptive, not phase-numbered** — artifacts keep their
 identity even as the roadmap's phase labels evolve; the "Training pass" column carries the

registry.json

@@ -28,6 +28,16 @@
       "speakers": 247,
       "published": "2026-07-16",
       "current": true
+    },
+    "vat3-24k": {
+      "track": "acoustic-24k",
+      "training_pass": "Full 3-channel VAT (milestone 3)",
+      "warm_start_parent": "derisk-energy-24k",
+      "sample_rate": 24000,
+      "speakers": 247,
+      "published": "2026-07-22",
+      "current": false,
+      "verdict": "mixed: energy PASS, tension near-pass, valence FAIL (corpus labels, not training) - warm-start seed for the v1.1 continuation"
     }
   },
   "tracks": {
@@ -37,7 +47,7 @@
     },
     "acoustic-24k": {
       "status": "active",
-      "next": "full 3-channel VAT (vat3; v1.1 corpus work in progress)"
+      "next": "v1.1 continuation from vat3-24k (story-driven valence corpus: LibriVox quote mining + directed teacher synthesis)"
     },
     "vocoder-24k": {
       "status": "active"

vat3-24k/README.md

@@ -0,0 +1,84 @@
+# vat3: full 3-channel VAT fine-tune, 24 kHz, multi-speaker
+
+**Status:** Published 2026-07-22 (mixed-verdict milestone). Milestone-3 full-VAT checkpoint —
+**two of three channels validated** (energy PASS, tension near-pass); **valence did not learn**
+(honest FAIL on a corrected instrument — see Eval below). Kept as the warm-start seed for the
+v1.1 continuation, whose corpus fix for the valence gap is story-driven data: LibriVox
+quote-mined dialogue + directed teacher synthesis. Not the shippable directable actor.
+
+## What this is
+
+The first full 3-channel VAT training (`configs/experiment/vat3_finetune.yaml`): valence, energy
+(arousal slot), tension, all live via FiLM in encoder + CFM decoder, warm-started from the
+promoted `derisk-energy-24k` epoch-099 checkpoint. Corpus `data/libritts_r_vat_v2` (30,351 clips,
+LibriTTS-R train-clean-100 @ 24 kHz): V from the JL-calibrated 9-head EIV combo
+(`valence_combo_v1.json`, LOSO d′=0.88), A/energy from per-speaker LUFS z-score, T from the
+phonation composite (LAX↔TIGHT semantics per the 2026-07-20 tension audit ruling).
+
+## Provenance
+
+* **Training:** `sonora_training` on ai-lab-0, MLflow run `wistful-dolphin-948` (experiment
+  `lightning_logs`, run_id `526ed740c9a540f0b26ad4ef1e92c765`), launched 2026-07-20 01:45,
+  stopped 2026-07-21 ~13:36 at ~epoch 101. Epoch 099 (step 92,100) is the audited checkpoint
+  staged here.
+* **Convergence:** val loss flat from epoch ~5 onward (diffusion term trendless; dur/prior heads
+  drifting mildly up — mild-overfit signature). The warm-started VAT trunk absorbed its signal
+  early; more epochs were buying nothing.
+* **Stop decision:** owner call 2026-07-21 after the corrected 3-channel audition (below): label
+  quality/range — not training steps — is the binding constraint on valence.
+* **Full resumable checkpoint** (optimizer state, for the v1.1 continuation):
+  `/data/model-training/sonora/logs/train/vat3_finetune/runs/2026-07-20_01-45-32/checkpoints/checkpoint_epoch=099.ckpt`
+  (training host only, not distributed).
+* **License:** LibriTTS-R only (CC-BY-4.0) — clean, promotable.
+
+## Eval (epoch 099, 2026-07-21) — and the instrument correction
+
+3-channel sweep (4 speakers × 3 channels × 5 values, shared baselines; `render_vat_sweep.py
+--channels valence,energy,tension`, promoted 24k HiFi-GAN `g_02510000`) through
+`eval_harness.py`. Pre-registered thresholds: |ρ| ≥ 0.9, leakage ≤ 0.2, WER Δ ≤ +0.10,
+cross-effect ≤ 0.5×.
+
+| Channel | Result | Detail |
+|---|---|---|
+| energy | **PASS** | ρ = 1.000 in all 4 groups; leakage ≤ 0.088; one WER-delta miss (0.133) on one group |
+| tension | **near-pass** | ρ = 1.000 ×2, 0.900 ×2 (at-threshold); clearly learned (should-fail ckpt scored 0.4) but without margin |
+| valence | **FAIL** | ρ scattered 0.6 / 0.4 / 0.2 / −0.3 — no monotonic control |
+
+**Instrument correction (2026-07-21):** the harness's original valence measure was the single raw
+EIV Valence head, discovered to be near-degenerate — 81% of corpus clips (and >50% of Expresso
+happy/sad/default) score a bit-identical dead-ReLU constant, and it cannot score negative valence
+(instrument test: `/data/model-training/sonora/vat3_eval/valence_instrument_test/`). That head had
+already been rejected for corpus labeling when `valence_combo_v1` was fit, but the harness was
+never switched. `eval_report.json` here is the corrected run (frozen 9-head combo, per-clip z —
+the same instrument family that labeled the corpus); `eval_report_rawhead.json` preserves the
+broken-instrument run for the record. The corpus combo labels themselves were verified healthy
+(0.07% dead zone, continuous). The FAIL verdict stands under the corrected instrument.
+
+Independence: energy→tension cross-effects 0.23–1.74 (phonation composite is loudness-sensitive —
+partly a measurement artifact); pairs involving valence are inflated by valence's near-zero own
+effect. Re-judge both after v1.1.
+
+**Why valence failed:** noisy labels (d′≈0.88) over a narrow effective range (80% of corpus
+inside ±0.6) on neutral-narration source audio. The model had almost nothing to learn from.
+Owner observation (2026-07-21): the strongest real valence examples live in **quoted character
+dialogue** — the v1.1 valence audition set should mine SCM quote-tagged segments.
+
+## Files
+
+| File | What |
+|---|---|
+| `model_epoch=099.safetensors` | Model weights (338 tensors, fp32), extracted bit-exact from the Lightning checkpoint (same pickle-hygiene rationale as `derisk-energy-24k`). Instantiate `MatchaTTS` per `hparams.json` and `load_state_dict`. |
+| `hparams.json` | Checkpoint `hyper_parameters` + epoch/step. |
+| `eval_report.json` | Corrected-instrument harness report (combo valence measure). |
+| `eval_report_rawhead.json` | Original report with the degenerate raw-Valence-head measure (kept for the record). |
+| `sweep_samples/` | The 52 sweep renders + `manifest.jsonl` evaluated at this checkpoint. |
+| `render_meta.json` | Exact render settings (seed, n_timesteps, temperature, length_scale). |
+
+## Next (v1.1)
+
+The originally planned Emilia continuation was **cancelled after a human keeps-audit** (the
+instrument-mined Emilia keeps were news/webinar clips contaminated with older-TTS synthetic
+speech — NO MERGE). The v1.1 corpus fix is story-driven instead: quote-mined LibriVox character
+dialogue (attribution-verb labels, forced alignment to canonical SE/PG text) plus directed
+teacher-synthesis renders (labels exact by construction), then resume from the full checkpoint
+above and re-audition with a quoted-dialogue valence sweep set.

vat3-24k/eval_report.json

@@ -0,0 +1,2130 @@
+{
+  "groups": {
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