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Related Questions
- What are the common strategies for handling out-of-vocabulary words during fine-tuning of pre-trained language models?
- How do pre-trained language models typically handle words that are not present in their original training data?
- What is the impact of out-of-vocabulary words on the performance of fine-tuned language models?
- Can you explain the concept of subwording and its role in handling out-of-vocabulary words?
- How do different pre-trained language models, such as BERT and RoBERTa, handle out-of-vocabulary words during fine-tuning?
- What are the trade-offs between using subwording, wordpiece tokenization, and other techniques for handling out-of-vocabulary words?
- Can you discuss the role of vocabulary size and the impact of out-of-vocabulary words on model performance?
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