pyr0ball 8ba34bb2d1 feat(avocet): run_finetune, CLI, multi-score-file merge with last-write-wins dedup ... - load_and_prepare_data() now accepts Path | list[Path]; single-Path callers unchanged - Dedup by MD5(subject + body[:100]); last file/row wins (lets later runs correct labels) - Prints summary line when duplicates are dropped - Added _EmailDataset (TorchDataset wrapper), run_finetune(), and argparse CLI - run_finetune() saves model + tokenizer + training_info.json with score_files provenance - Stratified split guard: val set size clamped to at least n_classes (handles tiny example data) - 3 new unit tests (merge, last-write-wins dedup, single-Path compat) + 1 integration test - All 16 tests pass (15 unit + 1 integration)		2026-03-15 15:52:41 -07:00
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__init__.py	feat: initial avocet repo — email classifier training tool	2026-02-27 14:07:38 -08:00
benchmark_classifier.py	fix(avocet): guard discover_finetuned_models against malformed/incomplete training_info.json	2026-03-15 15:18:13 -07:00
classifier_adapters.py	fix(avocet): FineTunedAdapter GPU device routing + precise body truncation test	2026-03-15 10:56:47 -07:00
finetune_classifier.py	feat(avocet): run_finetune, CLI, multi-score-file merge with last-write-wins dedup	2026-03-15 15:52:41 -07:00