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Related Questions
- What are the primary pre-training objectives of BERT and how do they influence fine-tuning performance?
- How does the addition of the next sentence prediction task in BERT impact its performance on downstream tasks?
- What role does the masked language modeling task play in pre-training BERT and how does it contribute to its performance?
- How does the RoBERTa pre-training objective, which modifies the BERT objective by using dynamic masking, improve performance on certain tasks?
- What are the key differences in pre-training objectives between BERT and RoBERTa, and how do these differences affect fine-tuning performance?
- Can you provide an example of how fine-tuning a BERT model on a specific task can be affected by its pre-training objectives?
- How do the pre-training objectives of BERT and RoBERTa compare to those of other transformer-based language models, and what are the implications for fine-tuning performance?
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