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Incorporating BERT into Parallel Sequence Decoding with Adapters
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use BERT on both sides with encoder and cross-attention decoder adapters | AB-Net · IWSLT14 De-En | BLEU: 33.59 -> 36.49 | Helped |
| Use BERT on both sides with encoder and cross-attention decoder adapters | AB-Net · WMT14 De-En | BLEU: 32.69 -> 33.57 | Helped |
| Use parallel AB-Net decoding rather than Transformer-Base decoding | WMT14 En-De · WMT14 En-De | latency: 778* ms -> 327 ms | Helped |
| Add target-side BERT with decoder cross-attention adapters to the encoder-only variant (ablation) | AB-Net-Enc · IWSLT14 De-En | BLEU: 34.45 -> 36.49 | Helped |
| Add encoder adapters to Xbert + Decoder (ablation) | Xbert + Decoder · IWSLT14 De-En | BLEU | Helped |
| Add decoder adapters to Xbert + Aenc + Ybert (ablation) | Xbert + Aenc + Ybert · IWSLT14 De-En | BLEU | Helped |
| Add decoder adapters on all layers rather than only the top 6 layers (ablation) | AB-Net · IWSLT14 De-En | BLEU: 34.60 -> 36.49 | Helped |
| Add encoder adapters on all layers rather than only the top 6 encoder and decoder layers (ablation) | AB-Net · IWSLT14 De-En | BLEU: 33.78 -> 36.49 | Helped |
| Halve encoder-adapter hidden dimension from 2^9 to 2^8 (ablation) | AB-Net · IWSLT14 De-En | BLEU: 0.4 | Hurt |
| Use encoder-adapter hidden dimension d_Aenc=64 (ablation) | AB-Net · IWSLT14 De-En | BLEU: 34.81 | Helped |
| Fine-tune all AB-Net parameters instead of adapters only (ablation) | AB-Net · IWSLT14 De-En validation | convergence speed | Hurt |
| Train AB-Net from scratch instead of using pretrained BERT (ablation) | AB-Net · IWSLT14 De-En validation | convergence | Hurt |
Closest papers by meaning
- MASS: Masked Sequence to Sequence Pre-training for Language Generation (ICML 2019 · similarity 0.89)
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