NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
transformers implementation of DistilBERT which has 66M parameters, and the vectors for text adjustment Mₜ , add 3,080 parameters. This model is then optimized such that the representation b(W), directly approximates the confounding information, Z_tilde. An estimator, Q, is trained for the expected