PyTorch Release Notesrecurrence and a novel relative positional encoding. The enhancements that were introduced in Transformer-XL help capture better long-term dependencies by attending to tokens from multiple previous segments segments. Our implementation is based on the codebase that was published by the authors of the Transformer-XL paper. Our implementation uses modified model architecture hyperparameters, our modifications recurrence and a novel relative positional encoding. The enhancements that were introduced in Transformer-XL help capture better long-term dependencies by attending to tokens from multiple previous segments0 码力 | 365 页 | 2.94 MB | 1 年前3
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