long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP

NOTE: this is still a work-in-progress (WIP) and not completed/converged by any means, but sharing to maybe save some time for others :)

Updates

As I update this WIP checkpoint, I will post a note here.

• July 26, 2022: add two more epochs of training, metrics starting to be almost as good as the more-tuned base variant
• July 8, 2022: add checkpoint with ~4 epochs of training on A100, equating to approx 350 steps of functional batch size 128
• July 4, 2022: add checkpoint with six additional epochs of training with the dataset summary outputs filtered to 1024 tokens, resolving the prior issue of short summaries.

About

• a checkpoint of Stancld/longt5-tglobal-large-16384-pubmed-3k_steps trained on kmfoda/booksum for about 26 epochs
• max input lengths during training vary between 8192 and 16384 tokens depending on GPU availability. This checkpoint was trained with 16384 tokens as the max input length for the final 10+ epochs

Comparisons

• compare to pszemraj/led-large-book-summary.
  • inference API has been disabled because it's too compute-intensive :/