Edit model card

pegasus-newsroom-headline_writer

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

  • Loss: 1.3988
  • Rouge1: 41.8748
  • Rouge2: 23.1947
  • Rougel: 35.6263
  • Rougelsum: 35.7355
  • Gen Len: 34.1266

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.5784 1.0 31200 1.4287 41.4257 22.9355 35.3299 35.4648 34.4677
1.3501 2.0 62400 1.3955 41.9119 23.1912 35.6698 35.7479 33.8672
1.2417 3.0 93600 1.3988 41.8748 23.1947 35.6263 35.7355 34.1266

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.14.0
  • Tokenizers 0.10.3
Downloads last month
52
Hosted inference API
This model can be loaded on the Inference API on-demand.

Spaces using chinhon/pegasus-newsroom-headline_writer