t5-small-finetuned-xsum

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

  • Loss: 2.4782
  • Rouge1: 28.2399
  • Rouge2: 7.7274
  • Rougel: 22.2538
  • Rougelsum: 22.2486
  • Gen Len: 18.8191

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: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.7161 1.0 12753 2.4782 28.2399 7.7274 22.2538 22.2486 18.8191

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0+cu117
  • Datasets 2.14.3
  • Tokenizers 0.13.3
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Base model

google-t5/t5-small
Finetuned
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Dataset used to train pain/t5-small-finetuned-xsum

Evaluation results