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mt5-base-finetuned-ar-wikilingua

This model is a fine-tuned version of google/mt5-base on the wiki_lingua dataset. It achieves the following results on the evaluation set:

  • Loss: 3.6790
  • Rouge-1: 19.46
  • Rouge-2: 6.82
  • Rouge-l: 17.57
  • Gen Len: 18.83
  • Bertscore: 70.18

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
4.9783 1.0 5111 4.0107 15.8 4.65 14.18 18.98 68.66
4.2093 2.0 10222 3.8664 16.46 5.17 15.08 18.91 68.5
4.0303 3.0 15333 3.7847 17.0 5.43 15.45 18.89 68.75
3.9165 4.0 20444 3.7405 17.03 5.5 15.45 18.86 68.78
3.8396 5.0 25555 3.7102 17.14 5.57 15.48 18.87 68.92
3.7825 6.0 30666 3.6944 17.64 5.73 15.96 18.82 69.14
3.7447 7.0 35777 3.6801 17.6 5.66 15.9 18.78 69.23
3.7203 8.0 40888 3.6790 17.94 5.81 16.21 18.81 69.29

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/mt5-base-finetuned-ar-wikilingua