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Related Questions
- What techniques can be employed to adjust the class weights in a classification model to improve the F1-score for imbalanced datasets?
- How can the use of domain-specific embeddings, such as Word2Vec or GloVe, impact the F1-score in a fine-tuning task?
- What is the role of hyperparameter tuning in adjusting the F1-score, and what hyperparameters are most critical for fine-tuning?
- Can you explain the concept of curriculum learning and its application in fine-tuning the F1-score for domain-specific language?
- How does the choice of optimizer and learning rate schedule affect the F1-score in a fine-tuning task?
- What strategies can be used to handle out-of-vocabulary words in fine-tuning the F1-score for domain-specific language?
- Can you discuss the impact of data augmentation techniques, such as paraphrasing or back-translation, on the F1-score in a fine-tuning task?
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