The report lives in notebooks/report.ipynb, but section 4 listed the
final report under reports/. Point readers to it from sections 8 and 9
and correct the repo-tree description.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Single-page form wrapping src.generate.generate_period: pick model, mode,
key, style, function, time, sampling params and optional prefix; returns
the chord grid plus downloadable .chord and .mid files. Russian usage
instructions are embedded on the same page.
Auto-length output is capped at 16 bars (the period maximum) so a model
that never emits EOS can't run away into dozens of NC/hold bars.
Added per the author's explicit request — web UI was previously out of
scope; updated CLAUDE.md and README accordingly. Choices for style/
function/time are derived from VOCAB so the form can't drift from the
tokenizer.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Added the official DDMAL link at the first prose mention in README.md,
docs/architecture.md, and docs/glossary.md.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
README:
- processed/ tree now shows mcgill/ and user/ subdirs
- --style user -> --style H1K0 in quick-start prefix example
- pretrained.report.txt and finetuned.report.txt added to artifact tables
architecture.md (-> v1.1):
- remove stale music21 fallback mention from chord_parser section
- fix ChordDataset: on-demand loading, not eager; remove non-existent
make_dataloader from public interface
- fix train function name: train_model -> train
- update logging description: report goes to .report.txt, not stdout
- note that scripts use max_seq_len=256 (sequences top out at 195 tokens)
requirements.md (-> v1.1):
- FT-12: update from unified script to pretrain.py + train.py pair
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- scripts/run_pretrain.py -> scripts/pretrain.py: pre-trains on McGill
corpus (data/processed/mcgill/), saves checkpoints/pretrained.pt.
- scripts/train.py: rewritten as high-level fine-tune wrapper; loads
pretrained.pt, trains on data/processed/user/, saves finetuned.pt.
Both scripts include timing estimate, loss-curve plot, per-epoch report,
and --skip-training flag.
- README: updated section 7 to reflect new script names and separate
data directories.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
H1K0