summarize-run
OfficialAutomate extraction of W&B run summaries for quick experiment insights.
Authorhao-ai-lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the process of retrieving and summarizing key metrics from W&B run data, enabling faster analysis of machine learning experiments.
Core Features & Use Cases
- Data Extraction: Retrieves metrics such as train loss, step time, gradient norm, and validation results from W&B APIs or local JSON summaries.
- Comparison & Reporting: Generates detailed markdown reports comparing current results against reference run data for monitoring progress.
- Use Case: Researchers and engineers can quickly generate structured experiment summaries after training to document performance and identify issues, either online via W&B or offline from stored JSON files.
Quick Start
Summarize the latest training metrics from the output directory 'outputs/wan_finetune' using a reference summary file to generate a report.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: summarize-run Download link: https://github.com/hao-ai-lab/FastVideo/archive/main.zip#summarize-run Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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