training-metrics-analyzer
CommunityVisualize training metrics to detect overfitting.
Authorminuum
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill simplifies monitoring ML training by converting TensorBoard logs into visual plots that reveal overfitting and guide checkpoint selection.
Core Features & Use Cases
- Visualizes train and validation losses over training steps to identify training trends.
- Detects overfitting onset by marking best checkpoint and subsequent divergence.
- Generates output reports and plots saved under docs/plots and docs/reports for documentation and audit.
Quick Start
Run the training-metrics-analyzer to plot loss curves from the latest runs and save the results to docs/plots.
Dependency Matrix
Required Modules
tensorboardmatplotlibseaborn
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: training-metrics-analyzer Download link: https://github.com/minuum/vla/archive/main.zip#training-metrics-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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