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pegasus-newsroom-headline_writer_oct22

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: 1.3462
  • Rouge1: 41.8799
  • Rouge2: 23.1785
  • Rougel: 35.5346
  • Rougelsum: 35.6203
  • Gen Len: 34.3108

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
1.4364 1.0 38400 1.3730 41.9525 23.0823 35.5435 35.6485 34.1161
1.2483 2.0 76800 1.3430 42.1538 23.3302 35.8119 35.9063 33.9333
1.1873 3.0 115200 1.3462 41.8799 23.1785 35.5346 35.6203 34.3108

Framework versions

  • Transformers 4.22.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.2
  • Tokenizers 0.12.1
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Finetuned from

Space using chinhon/pegasus-newsroom-headline_writer_oct22 1