Shared-weight self-attention, using one matrix and three diagonal scalers for Q, K, and V, cuts BERT's attention parameters by two-thirds while giving roughly comparable GLUE accuracy, though claimed accuracy gains are not supported.
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Does Self-Attention Need Separate Weights in Transformers?
Shared-weight self-attention, using one matrix and three diagonal scalers for Q, K, and V, cuts BERT's attention parameters by two-thirds while giving roughly comparable GLUE accuracy, though claimed accuracy gains are not supported.