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modelpath-dev
whisper-finetune
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.PHONY: install dev test lint format smoke train eval plot clean
CONFIG ?= configs/whisper_small_hi.yaml
ADAPTER ?= artifacts/whisper-small-hi-lora
install: ## Install pinned dependencies
pip install --upgrade pip
pip install -r requirements.txt
dev: install ## Editable install + dev extras
pip install -e ".[dev]"
test: ## Run fast offline unit tests
pytest
lint: ## Lint source, scripts, and tests with ruff
ruff check src scripts tests
format: ## Auto-format with ruff
ruff format src scripts tests
ruff check --fix src scripts tests
smoke: ## Run the full pipeline on a tiny subset (no GPU needed)
python scripts/prepare_data.py --config $(CONFIG) --smoke
python scripts/run_train.py --config $(CONFIG) --smoke
python scripts/run_eval.py --config $(CONFIG) \
--adapter artifacts/smoke-whisper-small-hi-lora --smoke
train: ## Full LoRA fine-tuning run
python scripts/run_train.py --config $(CONFIG)
eval: ## Evaluate baseline vs fine-tuned on the test split
python scripts/run_eval.py --config $(CONFIG) --adapter $(ADAPTER)
plot: ## Render the WER/CER comparison chart
python scripts/plot_results.py
clean: ## Remove caches and Python build artifacts
find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true
rm -rf .pytest_cache *.egg-info build dist
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