readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mbarthez-copy_mechanism-hal_articles
    results:
    - task:
        name: Summarization
        type: summarization
      metrics:
      - name: Rouge1
        type: rouge
        value: 36.548
  ---
  
  <!-- 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. -->
  
  # mbarthez-davide_articles-copy_enhanced
  
  This model is a fine-tuned version of [moussaKam/mbarthez](https://huggingface.co/moussaKam/mbarthez) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4905
  - Rouge1: 36.548
  - Rouge2: 19.6282
  - Rougel: 30.2513
  - Rougelsum: 30.2765
  - Gen Len: 25.7238
  
  ## 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: 3e-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: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.6706        | 1.0   | 33552  | 1.5690          | 31.2477 | 16.5455 | 26.9855 | 26.9754   | 18.6217 |
  | 1.3446        | 2.0   | 67104  | 1.5060          | 32.1108 | 17.1408 | 27.7833 | 27.7703   | 18.9115 |
  | 1.3245        | 3.0   | 100656 | 1.4905          | 32.9084 | 17.7027 | 28.2912 | 28.2975   | 18.9801 |
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.7.1+cu110
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  