readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: article2KW_test1.1_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_test1.1_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: 1.0775
  - Rouge1: 0.2800
  - Rouge2: 0.0762
  - Rougel: 0.2806
  - Rougelsum: 0.2803
  
  ## 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: 6
  - eval_batch_size: 6
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 1.6345        | 1.0   | 1996 | 1.3251          | 0.2815 | 0.0739 | 0.2816 | 0.2819    |
  | 1.2016        | 2.0   | 3992 | 1.1740          | 0.2836 | 0.0727 | 0.2837 | 0.2838    |
  | 1.0307        | 3.0   | 5988 | 1.1094          | 0.2874 | 0.0846 | 0.2879 | 0.2877    |
  | 0.923         | 4.0   | 7984 | 1.0775          | 0.2800 | 0.0762 | 0.2806 | 0.2803    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.3.2
  - Tokenizers 0.11.0
  