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Related Questions
- How does fine-tuning BERT-like models on multiple tasks involve adapting to different domains?
- Explain the concept of instance calibration in the context of out-of-vocabulary adaptation, particularly for BERT. Can you provide visual representation or mathematical formulation.
- What is word overlap between source and evaluation dataset and how does does the quality of the overlap determines the effectiveness of domain adapt.
- Can any difference between BERT,DistilBERT and ELECTRA models in handling non-common words in multi-dataset scenario.
- Are there any specific steps you would recommend for doing a domain adaptation for tasks involving a large number of classes, such as when BERT is used
- How does source target word alignment affect fine-tuning BERT style pre-trained models for adapt out-of-vocabulary
- Can data augmentation techniques be used separately with domain adaptation to produce results better than using then simultaneously.
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