AI
Fine-tune a language model
Fine-tuning continues training a pretrained model on your examples. It is for changing behavior or style that prompting and retrieval cannot reliably produce.
For engineers who already understand transformers at a conceptual level and have a dataset they are allowed to train on.
Start here
Read the Hugging Face training guide far enough to name your dataset, your metric, and why prompting or RAG is not enough.
Recommended resources
Start here · IntermediateFine-tune a pretrained model
Official training walkthrough for a pretrained Transformer, including the evaluation step.
huggingface.coBuild · IntermediateParameter-efficient fine-tuning
How to adapt a large model with LoRA-style methods instead of updating every weight.
huggingface.coPrerequisite · IntermediateTransformers documentation
The model and tokenizer APIs the training guide assumes.
huggingface.coCheck · IntermediateOpen LLM Leaderboard
A reminder to compare against a base model on your own cases, not only on a public board.
huggingface.coRelated topics
Understand transformer models · Learn PyTorch · Evaluate language model systems