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244e346b83
- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
1.5 KiB
1.5 KiB
CLI Reference
Training
python scripts/train.py --config <config.yaml> [overrides...]
Arguments
| Argument | Description |
|---|---|
--config |
Path to YAML config file (required) |
key=value |
Override any config parameter |
Examples
# Basic training
python scripts/train.py --config configs/searchqa/default.yaml
# With overrides
python scripts/train.py \
--config configs/searchqa/default.yaml \
--cfg-options optimizer.learning_rate=16 optimizer.lr_scheduler=linear
# With custom initial skill
python scripts/train.py \
--config configs/searchqa/default.yaml \
--cfg-options env.skill_init=skills/my_seed.md
Evaluation
python scripts/eval_only.py --config <config.yaml> --skill <skill.md>
Arguments
| Argument | Description |
|---|---|
--config |
Path to YAML config file (required) |
--skill |
Path to skill document to evaluate (required) |
--split |
Evaluation split: test (default), valid, train |
Examples
# Evaluate best skill on test set
python scripts/eval_only.py \
--config configs/searchqa/default.yaml \
--skill outputs/searchqa/run_001/skills/best_skill.md
# Evaluate on validation set
python scripts/eval_only.py \
--config configs/searchqa/default.yaml \
--skill outputs/searchqa/run_001/skills/best_skill.md \
--split valid
WebUI
python -m skillopt_webui.app [--port PORT] [--share]
| Argument | Default | Description |
|---|---|---|
--port |
7860 | Port number |
--share |
false | Create public Gradio link |