How can I debug my NLP model effectively?

How can I debug my NLP model effectively?

Debugging an NLP model involves checking data quality, model architecture, and hyperparameters. What specific issues are you facing?

I'm getting unexpected results with my sentiment analysis. What should I look into?

Start by examining your training data for biases or inconsistencies. Also, check if your model is overfitting.

How can I tell if my model is overfitting?

You can monitor the training and validation loss. If the training loss decreases while validation loss increases, it's a sign of overfitting.

What techniques can I use to prevent overfitting?

Consider using techniques like dropout, regularization, or gathering more training data to help mitigate overfitting.