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,