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
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: 40
+  accumulation: 1
+
+gradient:
+  minibatch_size: 8
+  merge_batch_size: 8
+
+optimizer:
+  learning_rate: 4
+
+env:
+  name: docvqa
+  skill_init: skillopt/envs/docvqa/skills/initial.md
+  split_mode: split_dir
+  split_ratio: "2:1:7"
+  split_dir: data/docvqa/splits
+  data_path: ""
+  split_output_dir: ""
+  max_turns: 1
+  workers: 16
+  image_detail: auto
+  limit: 0