tst-summarization

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

  • Loss: 3.7792
  • Rouge1: 14.4677
  • Rouge2: 2.0979
  • Rougel: 12.5724
  • Rougelsum: 12.8844
  • Gen Len: 54.5909

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: 5e-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: 3.0

Training results

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.1.0+cpu
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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