readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - xlsum
  model-index:
  - name: ArSUM-ai
    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. -->
  
  # ArSUM-ai
  
  This model is a fine-tuned version of [abdalrahmanshahrour/arabartsummarization](https://huggingface.co/abdalrahmanshahrour/arabartsummarization) on the xlsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5951
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.3947        | 1.0   | 9380  | 2.4121          |
  | 2.182         | 2.0   | 18760 | 2.4303          |
  | 1.9303        | 3.0   | 28140 | 2.4727          |
  | 1.7455        | 4.0   | 37520 | 2.5470          |
  | 1.5804        | 5.0   | 46900 | 2.5951          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  