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Related Questions
- What are the key factors that influence the quality of a pre-trained model?
- How does the choice of pre-trained model architecture impact fine-tuning performance?
- What are some common metrics used to evaluate the quality of a pre-trained model?
- What is the relationship between the pre-trained model's size and its fine-tuning performance?
- How does the quality of the pre-trained model's weights affect its ability to generalize to new tasks?
- Can a poor-quality pre-trained model still be fine-tuned to achieve good performance on a specific task?
- What are some strategies for selecting a high-quality pre-trained model for fine-tuning?
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