Comments (2)
XiangLi1999
commented on July 4, 2024
Hi,
Thanks for the question!
We are doing this intentionally and assuming that these PAD tokens are part of the data distribution. So when Diffusion-LM wants to generate sentences of length < 64, it will generate the PAD tokens for the remaining spaces.
Alternatively, if we don't do this during training, the model would learn to generate meaningless tokens after EOS token at generation time. One way to handle is to truncate anything after the EOS token, but we believe the current version is slightly cleaner.
Hope this helps!
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smiles724
commented on July 4, 2024
Thanks for your reply. This is interesting and sounds reasonable!
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Related Issues (20)
- some problems on reproducing the results
- I wander where to find the model in the predictability HOT 1
- Training on A100
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- Questions about the result of success rate of PPLM? HOT 2
- Why not directly use Emb(W) as X_0? HOT 2
- Error when running training script on Google Colab HOT 2
- Fail to load GPT2 pretrained model for attribute controled generation
- Reproducing Table 5: Sentence Infilling - CIDEr / BLEU-4 metrics HOT 1
- Baseline reproduction
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- E2E training procedure
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