pegasus-multi_news-headline

This model is a fine-tuned version of google/pegasus-multi_news on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4421
  • Rouge1: 41.616
  • Rouge2: 22.922
  • Rougel: 35.2189
  • Rougelsum: 35.3561
  • Gen Len: 33.9532

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: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.6637 1.0 31200 1.4877 41.0996 22.579 34.9311 35.0611 34.3431
1.4395 2.0 62400 1.4388 41.6075 22.8274 35.2051 35.3526 33.7965
1.3137 3.0 93600 1.4421 41.616 22.922 35.2189 35.3561 33.9532

Framework versions

  • Transformers 4.12.2
  • Pytorch 1.9.0+cu111
  • Datasets 1.14.0
  • Tokenizers 0.10.3
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