: A collection of 36 different "sets" or versions of a RoBERTa model that have been trained for specific tasks or on different subsets of language data.
Understanding RoBERTa: The "Robustly Optimized BERT Approach" WALS Roberta Sets 1-36.zip
: Unlike BERT, RoBERTa was trained on a much larger corpus (160 GB vs 13 GB) and for many more steps. It also removed the "Next Sentence Prediction" (NSP) task, which researchers found to be unnecessary for the model's performance. : A collection of 36 different "sets" or