Fine-Tuning Experiments and Failure Analysis
A fine-tuned model scoring higher is not yet evidence. Compare against real baselines, measure noise, ablate one factor at a time, track forgetting, and analyze failures.
-
-
Fine-Tuning Datasets and Evaluation Splits
A fine-tuning score is only as meaningful as the data behind it. Match data to the task, check labels, remove leakage, record rights, and size splits for the decision.
-
Fine-Tuning and Alignment
A pretrained model continues text. Three further stages turn that into something that follows instructions.