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fine-tune-Pegasus

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

  • Loss: 2.3242
  • Rouge1: 17.993
  • Rouge2: 2.9392
  • Rougel: 12.313
  • Rougelsum: 13.3091
  • Gen Len: 67.0552

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: 6.35e-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: cosine
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.1
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train QuickRead/fine-tune-Pegasus

Evaluation results