metadata

tags:
  - summarization
  - summary
  - booksum
  - long-document
  - long-form
license:
  - apache-2.0
  - bsd-3-clause
datasets:
  - kmfoda/booksum
inference: false

long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17

This model is a fine-tuned version of pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16 on the kmfoda/booksum dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 3

Framework versions

Transformers 4.23.0.dev0
Pytorch 1.10.0+cu113
Datasets 2.5.1
Tokenizers 0.12.1