Fine-tune and adapt language models
fine-tuning-expertskillsetup L3★9,726
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