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pegasus-newsroom-rewriter

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

  • Loss: 1.3424
  • Rouge1: 46.6856
  • Rouge2: 31.6377
  • Rougel: 33.2741
  • Rougelsum: 44.5003
  • Gen Len: 126.58

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: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 450 1.4020 47.0593 32.2065 33.9168 44.901 126.32
1.9944 2.0 900 1.3567 46.2635 30.9959 32.933 44.1659 126.48
1.6511 3.0 1350 1.3449 46.1544 30.7257 32.693 43.9977 126.4
1.5951 4.0 1800 1.3424 46.6856 31.6377 33.2741 44.5003 126.58

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.0.0
  • Tokenizers 0.11.6
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