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mbart-large-50-finetuned-ar-wikilingua

This model is a fine-tuned version of facebook/mbart-large-50 on the wiki_lingua dataset. It achieves the following results on the evaluation set:

  • Loss: 4.0001
  • Rouge-1: 22.11
  • Rouge-2: 7.33
  • Rouge-l: 19.75
  • Gen Len: 59.4
  • Bertscore: 68.9

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: 1e-06
  • 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
  • lr_scheduler_warmup_steps: 250
  • num_epochs: 8
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss Rouge-1 Rouge-2 Rouge-l Gen Len Bertscore
5.2671 1.0 5111 4.6414 18.37 5.63 16.32 96.39 65.12
4.5375 2.0 10222 4.3144 20.49 6.64 18.35 95.44 65.79
4.308 3.0 15333 4.1592 21.16 7.09 18.85 67.75 67.65
4.1562 4.0 20444 4.0812 21.59 7.31 19.42 68.66 68.02
4.0749 5.0 25555 4.0409 21.99 7.42 19.82 66.4 68.05
4.0271 6.0 30666 4.0183 22.04 7.42 19.64 56.88 68.95
3.9991 7.0 35777 4.0042 22.05 7.35 19.71 55.75 68.94
3.9833 8.0 40888 4.0001 22.12 7.39 19.78 55.72 69.0

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train ahmeddbahaa/mbart-large-50-finetuned-ar-wikilingua