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Related Questions
- What are the key factors that influence the transferability of knowledge from a pre-trained language model to a fine-tuning task?
- Can you explain the concept of domain adaptation and how it relates to fine-tuning pre-trained language models?
- How does the level of similarity between the pre-trained model's training data and the fine-tuning task's data affect the model's performance?
- What are some common techniques used to adapt pre-trained language models to new tasks, and which one is most effective?
- Can fine-tuning a pre-trained model on a related task improve its performance on a specific downstream task?
- How does the size of the pre-trained model's training dataset impact its performance on a fine-tuning task?
- What are some potential risks of overfitting when fine-tuning a pre-trained model, and how can they be mitigated?
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