test_summarizer

This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:

  • Loss: 4.5382
  • Rouge1: 0.1355
  • Rouge2: 0.0377
  • Rougel: 0.0999
  • Rougelsum: 0.0999
  • 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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 1 4.6430 0.1355 0.0377 0.0999 0.0999 19.0
No log 2.0 2 4.5914 0.1355 0.0377 0.0999 0.0999 19.0
No log 3.0 3 4.5562 0.1355 0.0377 0.0999 0.0999 19.0
No log 4.0 4 4.5382 0.1355 0.0377 0.0999 0.0999 19.0

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train Arjun2102/test_summarizer

Evaluation results