bart_samsum

This model is a fine-tuned version of facebook/bart-large-xsum on the samsum dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4947
  • Rouge1: 53.3294
  • Rouge2: 28.6009
  • Rougel: 44.2008
  • Rougelsum: 49.2031
  • Bleu: 0.0
  • Meteor: 0.4887
  • Gen Len: 30.1209

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Safetensors
Model size
406M params
Tensor type
F32
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Dataset used to train Arjun9/bart_samsum

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