my_awesome_billsum_model

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

  • Loss: 1.5768
  • Rouge1: 0.3454
  • Rouge2: 0.1108
  • Rougel: 0.2865
  • Rougelsum: 0.2866
  • Gen Len: 18.752

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
1.7371 1.0 779 1.6408 0.3309 0.0977 0.2751 0.2751 18.79
1.5146 2.0 1558 1.5945 0.3418 0.108 0.284 0.2842 18.766
1.4889 3.0 2337 1.5801 0.3452 0.1113 0.2863 0.2864 18.742
1.465 4.0 3116 1.5768 0.3454 0.1108 0.2865 0.2866 18.752

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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