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bart-large-finetuned-pubmed

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

  • Loss: 1.8135
  • Rouge1: 10.946
  • Rouge2: 5.0933
  • Rougel: 9.5608
  • Rougelsum: 10.4259
  • Gen Len: 19.0495

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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.0861 1.0 4000 1.8909 8.7344 3.6919 7.8804 8.3305 20.0
1.8996 2.0 8000 1.8261 10.2124 4.6212 8.9842 9.7417 17.632
1.7459 3.0 12000 1.8160 9.4933 4.4117 8.3977 9.0758 16.4775
1.6258 4.0 16000 1.8136 10.8248 5.0335 9.4286 10.3123 18.724
1.5214 5.0 20000 1.8135 10.946 5.0933 9.5608 10.4259 19.0495

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.6
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Evaluation results