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Update trackio.md
added a point about energy/transparency ⚡
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trackio.md

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# Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face
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**Easy Sharing and Embedding**: Trackio makes it incredibly simple to share training progress with colleagues or embed plots directly in blog posts and documentation using iframes. This is especially valuable when you want to showcase specific training curves or metrics without requiring others to set up accounts or navigate complex dashboards.
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**Standardization and Transparency**: Metrics like GPU energy usage are important to track and share with the community so we can have a better idea of the energy demands and environmental impacts of model training. Using Trackio, which directly gets information from the `nvidia-smi` command, makes it easy to quantify and compare energy usage and to add it to [model cards](https://huggingface.co/docs/hub/model-cards).
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**Data Accessibility**: Unlike some tracking tools that lock your data behind proprietary APIs, Trackio makes it straightforward to extract and analyze the data being recorded. This is crucial for researchers who need to perform custom analysis or integrate training metrics into their research workflows.
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**Flexibility for Experimentation**: Trackio's lightweight design allows us to easily experiment with new tracking features during training runs. For instance, we can decide when to move tensors from GPU to CPU when logging tensors while training, which significantly improves training throughput when you need to track model/intermediate states without impacting performance.
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Trackio is intentionally lightweight and not intended to be a fully-featured experiment tracking solution. It is currently in beta, and the database schema may change, which could require migrating or deleting existing database files (by default at `~/.cache/huggingface/trackio`).
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Some features found in other tracking tools, such as artifact management, or complex visualizations, is available yet. Feedback and contributions are welcome as the project evolves.
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Some features found in other tracking tools, such as artifact management, or complex visualizations, is available yet. Feedback and contributions are welcome as the project evolves.

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