Add trackio experiment tracking and visualization directly within the gpt-oss-(20B)-Fine-tuning notebook

[abidlabs]

This PR adds trackio experiment tracking and visualization directly to the gpt-oss-(20B)-Fine-tuning notebook. This is useful as it lets users track and visualize key metrics locally:

I started with the gpt-oss-(20B)-Fine-tuning notebook as Trackio is also included in the openai cookbook recipe for finetuning gpt-oss, but the same 2-line change should work for most of the Unsloth AI notebooks!

This notebook demonstrates the integration: https://colab.research.google.com/github/unslothai/notebooks/blob/94c0f86341c34fe669e253ce0635f30794156043/nb/gpt-oss-(20B)-Fine-tuning.ipynb
And here is Trackio's documentation: https://huggingface.co/docs/trackio/en/index

[rolandtannous]

hello i've just added this to the unsloth official container image if you're interested.
For more information on how to use our containers: https://docs.unsloth.ai/new/how-to-train-llms-with-unsloth-and-docker

[abidlabs]

Thanks @rolandtannous! I checked out the official unsloth container image:

% docker run -d -e JUPYTER_PASSWORD="mypassword" \
  -p 8888:8888 -p 2222:22 \
  -v $(pwd)/work:/workspace/work \
  unsloth/unsloth

and looked through the notebooks. I didn't see the reporting to trackio:

Am I missing something?

[rolandtannous]

trackio has been added to the packages, so it's readily available to import, just like wandb and tensorboard but it's up to the user to set it up in the notebook. I don't think we'll be standardizing that :). More like leaving it up to the user based on their preferences.