SkillOpt v0.1.0: initial release

- 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
This commit is contained in:
CharlesYang030
2026-05-21 17:22:04 +00:00
commit 244e346b83
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_base_: ../_base_/default.yaml
model:
reasoning_effort: medium
train:
batch_size: 10
accumulation: 1
gradient:
minibatch_size: 8
merge_batch_size: 8
optimizer:
learning_rate: 4
env:
name: sealqa
skill_init: skillopt/envs/sealqa/skills/initial.md
split_dir: data/sealqa_split
workers: 4
max_tool_turns: 12
limit: 0