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AraBART-finetuned-ar-wikilingua

This model is a fine-tuned version of moussaKam/AraBART on the wiki_lingua dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9990
  • Rouge-1: 23.82
  • Rouge-2: 8.97
  • Rouge-l: 21.05
  • Gen Len: 19.06
  • Bertscore: 72.08

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
  • 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
4.2331 1.0 5111 4.0713 21.42 7.69 19.08 18.79 71.22
3.9438 2.0 10222 4.0251 23.1 8.63 20.59 18.41 71.86
3.7372 3.0 15333 3.9744 22.98 8.47 20.3 19.2 71.74
3.5782 4.0 20444 3.9680 23.37 8.67 20.79 18.93 71.85
3.4509 5.0 25555 3.9643 23.42 8.85 20.71 19.33 71.88
3.3471 6.0 30666 3.9831 23.41 8.75 20.69 19.18 71.97
3.2673 7.0 35777 3.9917 23.93 9.13 21.16 19.0 72.11
3.214 8.0 40888 3.9990 23.94 9.1 21.21 19.13 72.11

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 eslamxm/AraBART-finetuned-ar-wikilingua