Fine-tune and adapt language models

fine-tuning-expertskillsetup L39,726
Jeffallan/claude-skills
What it does

Adapt pretrained models to domain-specific tasks

Best for

When zero-shot performance is inadequate but full training is too expensive.

Inputs
  • · pretrained model
  • · domain dataset
Outputs
  • · fine-tuned weights
  • · validation metrics
  • · inference script
Requires
  • · Hugging Face
  • · PyTorch
  • · PEFT
Preconditions
  • · Base model selected
  • · labeled data
Failure modes
  • · Catastrophic forgetting
  • · overfitting to small dataset
  • · unstable loss
Trust signals
  • · Learning rate schedules
  • · validation curves
  • · parameter efficiency metrics