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This model is a fine-tuned version of google/pegasus-large on the cnn_dailymail dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

For training of this PEGASUS-large 10k samples were taken from CNN-Dailymail Dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Finetuned from

Dataset used to train sabre-code/pegasus-large-cnn-dailymail

Space using sabre-code/pegasus-large-cnn-dailymail 1