Loss function parameters are another essential component of natural language processing (NLP) models. They are used to evaluate how well the model is performing by comparing the predicted output with the actual output. The loss function measures the difference between the predicted and actual output and is used to update the model’s parameters during training. … Continue reading NLP Models: Loss Functions & Parameters