# 📣 Weights & Biases - Feedback

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fweights-biases-feedback%2F4265%3E%5C
**Category:** 🤗Transformers\
**Created:** [March 9, 2021, 3:17pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fweights-biases-feedback%2F4265 "2021-03-09T15:17:05Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![morgan](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/morgan/32/2293_2.png) [@morgan](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmorgan)%5C
**Post date:** [March 9, 2021, 3:17pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fweights-biases-feedback%2F4265%2F1 "2021-03-09T15:17:05Z")

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Hey folks!

I’m Morgan from Weights & Biases and we’re looking for feedback from the 🤗 community on our current **documentation** for our Hugging Face W&B integration. **Any and all feedback** is a real gift 💝 (especially if there are things that are unclear or haven’t worked for you in the past)

## Docs to Check Out 👀

- Our own W&B documentation for Hugging Face **[can be found here](https://docs.wandb.ai/integrations/huggingface)**

- A briefer W&B overview from the Hugging Face docs **[is here](https://github.com/huggingface/transformers/blob/master/examples/README.md#weights--biases)**

- Optimize HF models with W&B integration **[demo on colab](https://colab.research.google.com/github/wandb/examples/blob/master/colabs/huggingface/Optimize_Hugging_Face_models_with_Weights_%26_Biases.ipynb)**

## Suggested Questions

- What would you change or add for a Hugging Face user using W&B for the **first-time**?
- What would you change or add in the docs for a Hugging Face user **already using W&B**?
- Is there anything in the docs you feel is missing or could be better explained?
- Are there any example descriptions or example code that would better explain the W&B integration?

Since I’m here, happy to hear about any suggestions or issues with the Hugging Face W&B integration here or in @boris 's [thread here](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Flogging-experiment-tracking-with-w-b%2F498%2F44) 🙂

Myself and @boris are looking forward to hearing from you all!

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**Author:** ![berkin](https://avatars.discourse-cdn.com/v4/letter/b/73ab20/32.png) [@berkin](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fberkin)%5C
**Post date:** [November 21, 2022, 3:03am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fweights-biases-feedback%2F4265%2F2 "2022-11-21T03:03:14Z")

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Hi @morgan,

Is there any documentation on how to integrate HuggingFace Accelerate (multi-gpu on a single machine setting) with weights and biases sweep?

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**Author:** ![morgan](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/morgan/32/2293_2.png) [@morgan](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmorgan)%5C
**Post date:** [December 5, 2022, 1:14pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fweights-biases-feedback%2F4265%2F3 "2022-12-05T13:14:52Z")

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hey @berkin , as long as your script can accept changes to the hyperparameters being set by wandb then it should work as normal. Using Accelerate you could just call the wandb tracker and get your configs from there, e.g.

```auto
wandb_tracker = accelerator.get_tracker("wandb")
learning_rate = wandb_tracker.config["learning_rate"]

```

You could also call wandb directly, assuming wandb is running on that GPU

`learning_rate = wandb.config["learning_rate"]`