readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - wiki_lingua
  model-index:
  - name: AraBART-finetuned-ar-wikilingua
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # AraBART-finetuned-ar-wikilingua
  
  This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/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
  