Edit model card

distilbart-summarization

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset.

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 4.17.0.dev0
  • Pytorch 1.10.0+cpu
  • Datasets 1.17.0
  • Tokenizers 0.11.0
Downloads last month
2