It presents two parameter-reduction techniques to lower memory consumption and increase the training | |
speed of BERT: | |
Splitting the embedding matrix into two smaller matrices. |
It presents two parameter-reduction techniques to lower memory consumption and increase the training | |
speed of BERT: | |
Splitting the embedding matrix into two smaller matrices. |