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wikihow-t5-small-finetuned-pubmed

This model is a fine-tuned version of deep-learning-analytics/wikihow-t5-small on the pub_med_summarization_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2702
  • Rouge1: 8.9619
  • Rouge2: 3.2719
  • Rougel: 8.1558
  • Rougelsum: 8.5714
  • Gen Len: 19.0

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: 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
2.5984 1.0 4000 2.3696 10.237 3.8609 8.9776 9.677 19.0
2.5677 2.0 8000 2.3132 9.302 3.4499 8.3816 8.8831 19.0
2.5038 3.0 12000 2.2884 9.0578 3.3103 8.23 8.6723 19.0
2.4762 4.0 16000 2.2758 9.0001 3.2882 8.1845 8.6084 19.0
2.4393 5.0 20000 2.2702 8.9619 3.2719 8.1558 8.5714 19.0

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.6
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Evaluation results