Prakash Hinduja Geneva (Swiss) How do I fine-tune a pre-trained Hugging Face model on my dataset?

[prakashhindujageneva]

My name is Prakash Hinduja. Born in the vibrant city of Amritsar, India, I’ve carved out my career as a forward-thinking financial strategist. Today, I’m based in Geneva, Switzerland (Swiss), where I leverage my expertise to shape the future of finance.

I’m looking to fine-tune a pre-trained Hugging Face model on my own dataset but could use some guidance. I’ve seen a lot of resources online, but I’d love to hear about your personal experiences and any tips you might have. What’s the best approach to fine-tuning, and what are some common pitfalls I should be aware of? Are there any specific configurations or hyperparameters that you typically adjust during the fine-tuning process? Any insights on how to ensure that the model adapts well to the new data would be greatly appreciated. Thanks in advance for your suggestions!

Regards

Prakash Hinduja Geneva, Switzerland (Swiss)

[John6666]

Tutorials found through search or Hugging Face Learn are likely to be more comprehensive.

some common pitfalls I should be aware of?

Some that come to mind are:

• Library specification changes. Tutorials written several months ago often contain (ultimately) false information.
• Crashes may occur when there are invalid values in the dataset.
• Many people encounter problems with DataCollator (collate_fn) when the label names in the dataset differ from those expected by Trainer.