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pegasus-samsum

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

  • Loss: 1.4177

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 0.4

Training results

Training Loss Epoch Step Validation Loss
1.6092 0.03 500 1.6488
1.9715 0.07 1000 1.5444
1.8325 0.1 1500 1.5093
1.876 0.14 2000 1.4890
1.3081 0.17 2500 1.4737
1.7769 0.2 3000 1.4496
1.6276 0.24 3500 1.4430
1.6624 0.27 4000 1.4288
1.9202 0.31 4500 1.4235
1.4404 0.34 5000 1.4189
1.8016 0.37 5500 1.4177

Framework versions

  • Transformers 4.12.0.dev0
  • Pytorch 1.9.1+cu102
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Dataset used to train lvwerra/pegasus-samsum

Evaluation results