Why is it often unnecessary to specify a loss when calling compile$()$ on a Transformer model?

Question $39$Answer

a$.$

Because loss is specified in$$model$.$fit$()$instead

b$.$

Because we compute metrics after training instead

c$.$

Because Transformer models are trained with unsupervised learning

d$.$

Because the model's internal loss output is used by default