An encoder-decoder model is being trained on a denoising task. It receives the corrupted input The [M] sat on the [M]. and is trained to reconstruct the original sentence, The cat sat on the mat.. During the training step for this example, on which specific words will the model's performance be evaluated to calculate the training loss? Explain why the evaluation is focused only on these words.