pyr0ball 5eb593569d feat(avocet): add finetune data pipeline, class weights, WeightedTrainer ... Implements load_and_prepare_data (JSONL ingestion with class filtering), compute_class_weights (inverse-frequency, div-by-zero safe), compute_metrics_for_trainer (macro F1 + accuracy), and WeightedTrainer.compute_loss (**kwargs-safe for Transformers 4.38+ num_items_in_batch). All 12 tests pass.		2026-03-15 15:38:45 -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): add finetune data pipeline, class weights, WeightedTrainer	2026-03-15 15:38:45 -07:00