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pegasus-xsum-reddit-clean-4

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

  • Loss: 2.7697
  • Rouge1: 27.7525
  • Rouge2: 7.9823
  • Rougel: 20.9276
  • Rougelsum: 22.6678

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: 5.6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
3.0594 1.0 1906 2.8489 27.9837 8.0824 20.9135 22.7261
2.861 2.0 3812 2.7793 27.8298 8.048 20.8653 22.6781
2.7358 3.0 5718 2.7697 27.7525 7.9823 20.9276 22.6678

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train jonathanrichard13/pegasus-xsum-reddit-clean-4

Evaluation results