Search⌘ K

Training the ELECTRA Model

Explore how to train the ELECTRA model by using a generator trained on masked language modeling and a discriminator that detects replaced tokens. Understand the combined loss function, efficient training through shared embeddings, and how to load pre-trained ELECTRA configurations for practical NLP applications.

The generator is trained using the MLM task.

Selecting the masking position

So, for a given input, X=[x1,x2,...,xn]X = [x_1, x_2, ..., x_n], we ...