README.md

Shortlink: goo.gl/wSuuS9

Supplementary Materials for Generating Wikipedia by Summarizing Long Sequences

The github repository can be found at https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/data_generators/wikisum

Dear all,

Is there any available pre-trained model released for this wikisum problem? If there is, may I have the link to that pre-trained model?

Thank you so much

Thanks for linking that, @peterjliu. Am I reading the README.md correctly, here, that training uses a full transformer architecture, rather than a decoder-only architecture with memory-compressed attention?

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Training

TODO(rsepassi): Put actual results achieved on wikisum_web and/or
wikisum_commoncrawl and with what hparams_set.

PROBLEM=wikisum_web  # or wikisum_commoncrawl
t2t-trainer \
  --problem=$PROBLEM \
  --model=transformer \
  --hparams_set=transformer_base \
  --train_steps=250000 \
  --eval_steps=100 \
  --data_dir=$DATA_DIR \
  --output_dir=$TRAIN_DIR

Does anyone have processed training examples (i.e., the output of step 3 here) available to share? I'm having trouble getting GCP to release IP addresses for data generation, so I'm hoping to be able to bypass this for the time being...

Also, as @nlothian and @hoang-ho have asked, are pre-trained model weights available anywhere?