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AraBART-summ

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Validation Metrics

  • Loss: 2.3417
  • Rouge1: 2.353
  • Rouge2: 1.103
  • RougeL: 1.176
  • RougeLsum: 1.521

Training results

Training Loss Epoch Step Validation Loss
2.7555 1.0 9380 2.3417

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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