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
343 B
YAML
24 lines
343 B
YAML
_base_: ../_base_/default.yaml
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model:
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reasoning_effort: medium
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train:
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batch_size: 10
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accumulation: 1
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gradient:
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minibatch_size: 8
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merge_batch_size: 8
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optimizer:
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learning_rate: 4
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env:
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name: sealqa
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skill_init: skillopt/envs/sealqa/skills/initial.md
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split_dir: data/sealqa_split
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workers: 4
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max_tool_turns: 12
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limit: 0
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