results / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: results
    results: []

results

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

  • Loss: 5.4160
  • Rouge2 Precision: 0.1882
  • Rouge2 Recall: 0.1039
  • Rouge2 Fmeasure: 0.1339

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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adafactor
  • lr_scheduler_type: linear
  • num_epochs: 50
  • label_smoothing_factor: 0.1

Training results

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1