Comments (1)
If enabled, it means that the decoder will use full attention over the encoder outputs as in the standard Transformer. We found that directly consuming only the encoder activation at
the current step works better in our initial experiments, so we don't enable that option by default. Please see the last two paragraphs of our paper for more details.
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Related Issues (19)
- Lasertagger Colab Notebook request HOT 4
- Can tagging_converter support consecutive DELETE|add_phrases? HOT 5
- MSR Summarization Example HOT 3
- Output files (e.g. label map) not found HOT 3
- Update for TF 2
- why the prediction of Exact score is 0.00 HOT 2
- Problem with pkg-resources==0.0.0 when installing requirements.txt HOT 7
- Problem when training using GPU HOT 2
- Is the weights available? HOT 2
- CUBLAS_STATUS_EXECUTION_FAILED when running on GPU. HOT 4
- How do tag "keep" and "delete" accurately correspond to the input token ? HOT 1
- why it can not train?
- Why my model only predicts KEEP tags? HOT 1
- How to use GPU? HOT 4
- Fine-tuned models request HOT 9
- Permission denied error while replicating HOT 2
- How can I use this model on Chinese dataset? HOT 13
- Which version of tensorflow does the code run on HOT 1
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