readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: article2KW_test1.2_barthez-orangesum-title_finetuned_for_summerization
    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. -->
  
  # article2KW_test1.2_barthez-orangesum-title_finetuned_for_summerization
  
  This model is a fine-tuned version of [moussaKam/barthez-orangesum-title](https://huggingface.co/moussaKam/barthez-orangesum-title) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1237
  - Rouge1: 0.2902
  - Rouge2: 0.0789
  - Rougel: 0.2899
  - Rougelsum: 0.2894
  
  ## 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: 5.6e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 1.6441        | 1.0   | 1497 | 1.2902          | 0.2652 | 0.0690 | 0.2647 | 0.2644    |
  | 1.1997        | 2.0   | 2994 | 1.1705          | 0.2854 | 0.0685 | 0.2858 | 0.2850    |
  | 1.0398        | 3.0   | 4491 | 1.1237          | 0.2902 | 0.0789 | 0.2899 | 0.2894    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.3.2
  - Tokenizers 0.11.0
  