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Baseline ladder results + error analysis (RESULTS v0)

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难度
5/5
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一周以上
新手友好度
30/100
Issue 类型
文档
描述清晰度
基本清楚
活跃度
活跃
技术栈
machine-learning

调研方向

Start by reviewing the linked design doc and drafts, then inspect the existing evaluation entry points for the rules and listed Gemma and Qwen model rungs after dependencies #69, #71, and #72 are complete. Run the zero-shot and few-shot ladder with grammar on and off, read at least 50 dev-set failures, and commit docs/RESULTS.md plus results/*.json containing the required metrics, taxonomy, examples, and fine-tuning go/no-go note.

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描述

area:ml type:eval

Part of the JobTrail v2 rebuild · design doc · all drafts · draft #12

Depends on: #69, #71, #72

Scope

  • Run: rules; Gemma 3 270M, Qwen3-0.6B, ~1B, ~2B general models (zero-shot and few-shot, grammar on/off); cloud ceiling.

  • Error analysis on dev set: read ≥ 50 failures, build a failure taxonomy (Hamel-style open coding → categories with counts).

  • docs/RESULTS.md v0 + results/*.json.

Acceptance criteria

  • Table: per-field metrics, zero-edit rate, validity, hallucination, $/note for every rung.

  • Failure taxonomy with ≥ 5 categories and example IDs.

  • Explicit go/no-go note on the fine-tuning hypothesis given baseline gaps.

Definition of done (all issues)

Definition of done (every issue):

  • Acceptance criteria met with evidence linked in the closing comment (test run, results JSON, screenshot/recording).

  • needs-device issues: benchmark JSON + short screen recording from the named device committed under evidence/<issue#>/.

  • No claim in README/docs that isn't backed by a committed artifact.

  • CI green.

Device shorthand: Note 9S = Redmi Note 9S 6 GB (Snapdragon 720G, CPU-only), the minimum-spec device. iPhone = iPhone 16 Pro.

Budget rule: free tiers first (Gemini API free tier, Kaggle/Colab free GPUs, HF Hub, Vercel Hobby). Any script calling a cloud model must throttle to free-tier limits, checkpoint/resume, and log token usage. Paid spend only with owner approval, capped at a few dollars.

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环境准备

  • 没有 Dockerfile 或 Docker Compose 文件
  • 有 Pull Request 模板
  • 没有贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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