Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?
In Transformer models, sequences of variable lengths are typically padded to the maximum length in a batch. However, if my sequence lengths vary significantly, the batch may contain a substantial amount of padding (potentially over 50%).
Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?
In Transformer models, sequences of variable lengths are typically padded to the maximum length in a batch. However, if my sequence lengths vary significantly, the batch may contain a substantial amount of padding (potentially over 50%).
Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?
In Transformer models, sequences of variable lengths are typically padded to the maximum length in a batch. However, if my sequence lengths vary significantly, the batch may contain a substantial amount of padding (potentially over 50%).
Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?
In Transformer models, sequences of variable lengths are typically padded to the maximum length in a batch. However, if my sequence lengths vary significantly, the batch may contain a substantial amount of padding (potentially over 50%).
Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?
In Transformer models, sequences of variable lengths are typically padded to the maximum length in a batch. However, if my sequence lengths vary significantly, the batch may contain a substantial amount of padding (potentially over 50%).