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mBART-vi-news-summarization

This model is a fine-tuned version of PhucMap/BARTphoVi-VSL on vietgpt/news_summarization_vi. It achieves the following results on the evaluation set:

  • Loss: 0.8166
  • Rouge1: 70.8598
  • Rouge2: 51.2255
  • Rougel: 51.8606
  • Rougelsum: 65.5856
  • Gen Len: 152.869

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: 0.0002
  • train_batch_size: 8
  • 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

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train ntkhoi/bart-vi-news-summarization