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bart-large-cnn-finetuned-pubmed

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

  • Loss: 2.0113
  • Rouge1: 36.3093
  • Rouge2: 14.7358
  • Rougel: 22.2752
  • Rougelsum: 32.8168
  • Gen Len: 137.6193

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: 2
  • eval_batch_size: 2
  • 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
2.1664 1.0 3748 2.0113 36.3093 14.7358 22.2752 32.8168 137.6193

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train theojolliffe/bart-large-cnn-finetuned-pubmed

Evaluation results