CharlesYang030
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
24 lines
451 B
YAML
24 lines
451 B
YAML
_base_: ../_base_/default.yaml
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model:
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codex_exec_sandbox: danger-full-access
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train:
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batch_size: 64
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accumulation: 1
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env:
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name: mathverse
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skill_init: skillopt/envs/mathverse/skills/initial.md
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split_dir: ""
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data_root: data/MathVerse
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problem_version: Text Lite
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use_text_dominant_reference: false
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max_turns: 1
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workers: 16
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limit: 0
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image_detail: auto
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judge_model: gpt-5.4
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judge_max_completion_tokens: 256
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judge_retries: 5
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