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pegasus-newsroom-malay_headlines

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: 1.6603
  • Rouge1: 42.6667
  • Rouge2: 22.8739
  • Rougel: 38.6684
  • Rougelsum: 38.6928
  • Gen Len: 34.7995

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: 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: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.9713 1.0 15310 1.8121 41.1469 21.5262 37.3081 37.3377 35.0939
1.7917 2.0 30620 1.6913 42.4027 22.6089 38.4471 38.4699 34.8149
1.7271 3.0 45930 1.6603 42.6667 22.8739 38.6684 38.6928 34.7995

Framework versions

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