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pegasus-multi_news-summarizer_01

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: 1.2794
  • Rouge1: 52.1693
  • Rouge2: 34.8989
  • Rougel: 41.2385
  • Rougelsum: 48.4365
  • Gen Len: 98.6433

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
1.3936 1.0 16113 1.2972 51.5747 34.2062 40.7279 47.7783 95.0004
1.3664 2.0 32226 1.2817 52.1077 34.8189 41.1614 48.3894 100.3265
1.3002 3.0 48339 1.2794 52.1693 34.8989 41.2385 48.4365 98.6433

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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