Huggingface Trackio
Plugin Verified ActiveTrack and visualize ML training experiments with Trackio. Log metrics via Python API and retrieve them via CLI. Supports real-time dashboards synced to HF Spaces.
To enable users to effectively track, visualize, and analyze their machine learning training experiments, facilitating better experiment iteration and monitoring.
Features
- Log ML training metrics via Python API
- Visualize metrics in real-time on HF Spaces dashboards
- Fire alerts for training diagnostics
- Retrieve metrics and alerts via CLI
- Support for automated experiment workflows
Use Cases
- Tracking hyperparameters and performance metrics during model training
- Monitoring training progress and identifying issues with real-time dashboards
- Setting up alerts for critical events like loss divergence or NaN gradients
- Analyzing experiment results programmatically using CLI output
Non-Goals
- Replacing full experiment management platforms
- Providing a UI for model training itself
- Automating model deployment
Installation
First, add the marketplace
/plugin marketplace add huggingface/skills/plugin install huggingface-trackio@huggingface-skillsQuality Score
VerifiedTrust Signals
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