t5-small-finetuned-xsum

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

  • Loss: 0.3233
  • Rouge1: 46.8426
  • Rouge2: 0.4676
  • Rougel: 46.6278
  • Rougelsum: 46.631
  • 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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.3816 1.0 779 0.3233 46.8426 0.4676 46.6278 46.631 19.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0
  • Datasets 3.3.2
  • Tokenizers 0.15.0
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