How do I evaluate fine-tuned NLP models?

How do I evaluate fine-tuned NLP models?

To evaluate fine-tuned NLP models, you can use metrics like accuracy, F1 score, and perplexity. What specific task are you focusing on?

I'm working on a sentiment analysis task.

For sentiment analysis, you might want to look at precision, recall, and the confusion matrix to understand model performance better.

What datasets should I use for testing?

Common datasets for sentiment analysis include IMDb reviews, Twitter sentiment datasets, and the SST (Stanford Sentiment Treebank). Would you like more details on any of these?

Yes, please provide more information on the IMDb dataset.

The IMDb dataset contains 50,000 movie reviews labeled as positive or negative. It's widely used for benchmarking sentiment analysis models.