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Related Questions
- What are the key differences between BERT and RoBERTa pre-trained models?
- How does the choice of pre-trained model impact the generalization of the fine-tuned model?
- What are the implications of using a smaller pre-trained model for fine-tuning on smaller datasets?
- Can you explain the concept of 'pre-training' and its significance in fine-tuning language models?
- How does the pre-trained model's architecture influence the fine-tuned model's performance on specific tasks?
- What are the trade-offs between using a pre-trained model with a large number of parameters and one with fewer parameters?
- Can you discuss the role of pre-trained models in domain adaptation and their impact on fine-tuned model performance?
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