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pegasus-multi_news-malay_headlines_02

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: 1.9295
  • Rouge1: 39.9859
  • Rouge2: 20.1943
  • Rougel: 36.1927
  • Rougelsum: 36.2105
  • Gen Len: 35.6062

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.0943 1.0 53582 1.9295 39.9859 20.1943 36.1927 36.2105 35.6062

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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