NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
all the parameters of the model, and L(.) is the cross-entropy loss which is used with the estimator Q_hat, itself based on the Mₜ vectors. The original BERT masked language modeling objective (MLM) is represented as R(.), and the 𝛼 hyperparameter is a penalty for the MLM objective. With the Q_hat