Edit model card

pegasus-xsum-finetuned-paws

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

  • Loss: 2.1199
  • Rouge1: 92.4371
  • Rouge2: 75.4061
  • Rougel: 84.1519
  • Rougelsum: 84.1958

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
2.1481 1.46 1000 2.0112 93.7727 73.3021 84.2963 84.2506
2.0113 2.93 2000 2.0579 93.813 73.4119 84.3674 84.2693
2.054 4.39 3000 2.0890 93.3926 73.3727 84.2814 84.1649

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1
Downloads last month
4
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train domenicrosati/pegasus-xsum-finetuned-paws

Evaluation results