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58 lines
2.5 KiB
Markdown
58 lines
2.5 KiB
Markdown
# Experiment 8-6: speech SFT acceptance campaign
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This directory contains the reproducible local-GPU campaign and its retained
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evidence for both speech-training tracks described in the chapter:
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- Orpheus cross-sentence voice/timbre consistency
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- Sesame CSM control of `<laughs>`, `<giggles>`, and `<sighs>` events
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The retained run is `validation/exp8-6-20260804-v1/`. It performed 60 optimizer
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updates for each LoRA, used disjoint held-out loss sets, generated matched
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base/adapted WAV comparisons, published the full adapters to Hugging Face, and
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kept explicit negative comparisons. See the run's `REPORT.md` for results and
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limitations.
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The retained `compatibility_failures.json` also records the current Unsloth CSM
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pad-token rejection and Transformers bf16 codec/text merge mismatch. Sesame was
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therefore trained with standard PEFT in float32, without reducing the dataset,
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optimizer-step count, or comparison campaign.
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## Reproduce
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Use a fresh environment because the two upstream notebooks move quickly:
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```bash
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python3 -m venv --system-site-packages .venv-exp8-6
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.venv-exp8-6/bin/pip install -r chapter8/speech-sft-experiment/requirements.txt
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.venv-exp8-6/bin/python chapter8/speech-sft-experiment/run_orpheus.py \
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--output chapter8/speech-sft-experiment/validation/my-run
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.venv-exp8-6/bin/python chapter8/speech-sft-experiment/run_sesame.py \
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--output chapter8/speech-sft-experiment/validation/my-run
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.venv-exp8-6/bin/python chapter8/speech-sft-experiment/analyze_campaign.py \
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--run chapter8/speech-sft-experiment/validation/my-run
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```
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The runners default to `bojieli/...` adapter repositories. Pass `--hf-repo`
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with a repository you can write, or modify the runners to skip publication for
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a private local reproduction. `HF_TOKEN` is required for publication.
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## Dataset provenance
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The upstream notebooks name `MrDragonFox/Elise`. Hugging Face now marks that
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dataset disabled. The campaign therefore uses
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`maxbsoft/mrdragonfox-elise` at immutable revision
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`2cc657c3f94a83df18fcd968b7531ca1a19c7f88`, a public non-disabled mirror of
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the 1,195-row Elise corpus. Both manifests record this substitution.
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## Interpretation
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Execution acceptance and hypothesis support are separate. A run can be
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complete while an automatic quality proxy is negative. The MFCC statistic
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cosine used for Orpheus is a transparent timbre proxy. The AudioSet detector
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scores used for Sesame are event-presence proxies. Neither replaces a blinded
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human listening test, MOS, or enrolled-speaker verification, and the report
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does not claim perceptual quality from this bounded campaign.
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