I've noticed that while creating the dataset, the news headlines and news content were separated. This means that there are distinct training and testing sets for news headlines, as well as for news content. However, during the fine-tuning process, only the dataset containing news headlines was utilized, and the dataset with news content wasn't employed. Consequently, I'm somewhat perplexed about the role of the news content dataset in the fine-tuning process.
I've noticed that while creating the dataset, the news headlines and news content were separated. This means that there are distinct training and testing sets for news headlines, as well as for news content. However, during the fine-tuning process, only the dataset containing news headlines was utilized, and the dataset with news content wasn't employed. Consequently, I'm somewhat perplexed about the role of the news content dataset in the fine-tuning process.
