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Reset Number of Steps in WandB to the Latest Saved Checkpoint or Implement Distinguishable Experiment Run Logging in WandB

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还没有人认领这个 Issue。

评估

难度
4/5
预计耗时
3-5 天
新手友好度
18/100
Issue 类型
缺陷
描述清晰度
需要澄清
活跃度
停滞
技术栈
python
领域
machine-learning, observability

调研方向

The issue names no files or tests. Start by finding where metrics are sent to Weights & Biases and where training resumes from a checkpoint, then check which step value is passed on restart. The issue leaves open whether to reset the step or separate runs, so a maintainer decision is needed first. Done means a restarted run logs steps consistent with the resumed training step, or restarts are distinguishable in WandB.

由索引模型根据 Issue 内容生成。

描述

enhancement need update

🎯 Goal (What & Why)

Currently, if we restart an experiment (e.g., due to a job being preempted), the iteration count in WandB will be higher than the actual step in the experiment. This happens because the experiment is likely restarted from scratch or from the latest saved checkpoint, causing all logged metrics to be skipped until they reach the previously submitted step.

To address this, we need to either:

  1. Reset the step in WandB to reflect the actual step upon restart, or
  2. Implement experiment runs logging in a way that allows WandB to distinguish them properly.

🚀 Execution Plan

(This section may start as an incomplete draft but must be defined before implementation begins.)

Step 1: What is the smallest working version?

(Describe the simplest way to implement this feature with minimal effort.)

Step 2: What additional optimizations are possible (but optional)?

(List potential refinements that can be added in later PRs if needed.)

📌 Acceptance Criteria (Must-Haves for Completion)

  • The feature must be functional and tested.
  • The implementation must be documented in practical terms.
  • The PR must include a performance/impact summary.
  • No refactors unless directly necessary for feature completion.

🛠️ Project Management

  • Assign the project to the Fast-LLM project.
  • Set the Estimate field (in days) in the GitHub project.
  • Use the Size field to categorize the PR size (Small/Medium/Large).
  • Assign an owner when opening the issue.
主要语言
Python
星标
337
派生
52
30 天内没有已合并 PR

环境准备

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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