readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-JES-cnn_dailymail
    results:
    - task:
        name: Summarization
        type: summarization
      metrics:
      - name: Rouge1
        type: rouge
        value: 43.9753
  ---
  
  <!-- 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. -->
  
  # bart-JES-cnn_dailymail
  
  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1452
  - Rouge1: 43.9753
  - Rouge2: 19.7191
  - Rougel: 33.6236
  - Rougelsum: 41.1683
  - Gen Len: 80.1767
  
  ## 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: 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: 6.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 1.2949        | 1.0   | 71779  | 1.2080          | 11.7171 | 3.3284 | 11.3209 | 11.4022   | 20.0    |
  | 1.191         | 2.0   | 143558 | 1.1615          | 11.8484 | 3.363  | 11.4175 | 11.5037   | 20.0    |
  | 1.0907        | 3.0   | 215337 | 1.1452          | 12.6221 | 3.773  | 12.1226 | 12.2359   | 20.0    |
  | 0.9798        | 4.0   | 287116 | 1.1670          | 12.4306 | 3.7329 | 11.9497 | 12.0617   | 20.0    |
  | 0.9112        | 5.0   | 358895 | 1.1667          | 12.5404 | 3.7842 | 12.0541 | 12.1643   | 20.0    |
  | 0.8358        | 6.0   | 430674 | 1.1997          | 12.5153 | 3.778  | 12.0382 | 12.1332   | 20.0    |
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.7.1+cu110
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  