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Is having many tokens generally good for NLP performance?

Indeed several studies provide evidence that the design of tokenizers significantly impacts transformer model performance such as the original BERT paper that introduced WordPiece tokenization ...
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Transformer Encoder give worse performance when the sequence length during training is difference compared to inference

Indeed transformer with fixed-length positional encodings such as your SinePositionEncoding doesn't inherently generalize well to sequence lengths that differ from ...
cinch's user avatar
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