post-training-eval-report
CommunityConcisely interpret and report on post-training model evaluations.
Software Engineering#performance metrics#model evaluation#analysis report#training outcome interpretation#post-training analysis
AuthorKirillKlem
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the challenge of effectively interpreting and summarizing post-training model evaluation results. It helps users discern the significance of changes in model performance metrics and identifies actionable insights from experimental comparisons.
Core Features & Use Cases
- Metric Interpretation: Analyze changes in model performance metrics to discern signal from noise.
- Result Comparison: Compare and contrast multiple training runs, checkpoints, or ablations.
- Evaluation Reports: Prepare structured reports outlining model evaluation outcomes and recommended next steps.
- Use Case: Suppose you have several checkpoints from a model training process, and you need to analyze the impact of various ablations on model performance.
Quick Start
Analyze and interpret the results of the experiment by running 'analyze-results -r /path/to/experiment/folder'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: post-training-eval-report Download link: https://github.com/KirillKlem/codex-skills/archive/main.zip#post-training-eval-report Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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