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t5-base-article

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

  • Loss: 1.2739
  • Rouge1: 40.1639
  • Rouge2: 22.9997
  • Rougel: 35.3592
  • Rougelsum: 37.9353

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: 5.6e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • 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
1.3759 1.0 3760 1.2739 40.1639 22.9997 35.3592 37.9353

Framework versions

  • Transformers 4.40.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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