A language model is being trained on a task to determine if two sentences are consecutive. For a specific pair of sentences where the second sentence is the correct follow-up, the model's final classifier outputs a probability of 0.8 for the 'IsNext' label. Based on the standard negative log-likelihood loss function used for this task, what is the calculated loss value for this single training example? (Note: Use the natural logarithm, ln).

Analyzing Model Training Loss

For the task of predicting if two sentences are consecutive, a higher model-predicted probability for the correct label (e.g., 'IsNext' or 'NotNext') will result in a higher calculated loss value for that training example.