bart-base-finetuned-pubmed

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

  • Loss: 1.9804
  • Rouge1: 9.1984
  • Rouge2: 4.3091
  • Rougel: 7.9739
  • Rougelsum: 8.6759
  • Gen Len: 20.0

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: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.2869 1.0 29981 2.1241 9.0852 4.1152 7.842 8.5395 20.0
2.1469 2.0 59962 2.0225 9.1609 4.2437 7.9311 8.6273 20.0
2.113 3.0 89943 1.9959 9.3086 4.3305 8.0363 8.7713 20.0
2.0632 4.0 119924 1.9804 9.1984 4.3091 7.9739 8.6759 20.0

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.1+cu102
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Dataset used to train mse30/bart-base-finetuned-pubmed

Evaluation results