Custom Model Training Quiz

What you'll be asked

1. When training a custom information extraction model, what is the primary purpose of a 'Gold Standard' dataset?
2. Which of the following is a common symptom of 'Overfitting' in a custom extraction model?
3. When dealing with highly variable document layouts during custom model training, which technique is most effective for improving extraction robustness?
4. What is the recommended approach if your model consistently fails to extract a specific, rare entity type?
5. During the fine-tuning of a transformer-based extraction model, why might 'Catastrophic Forgetting' occur?

Answers and explanations come after you submit.