readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - amazon_reviews_multi
  metrics:
  - rouge
  model-index:
  - name: bart-base-finetuned-amazon-onlyen
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: amazon_reviews_multi
        type: amazon_reviews_multi
        args: en
      metrics:
      - name: Rouge1
        type: rouge
        value: 17.2662
  ---
  
  <!-- 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-base-finetuned-amazon-onlyen
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the amazon_reviews_multi dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.7572
  - Rouge1: 17.2662
  - Rouge2: 8.7425
  - Rougel: 16.5765
  - Rougelsum: 16.6844
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 2.9212        | 1.0   | 771  | 2.8034          | 15.381  | 8.5254  | 15.223  | 15.059    |
  | 2.3109        | 2.0   | 1542 | 2.8386          | 19.8947 | 11.0965 | 19.4876 | 19.5366   |
  | 1.8973        | 3.0   | 2313 | 2.9258          | 17.7443 | 8.9232  | 17.311  | 17.1796   |
  | 1.5421        | 4.0   | 3084 | 3.0696          | 17.8204 | 8.8919  | 17.3889 | 17.205    |
  | 1.2391        | 5.0   | 3855 | 3.2609          | 15.9828 | 8.0523  | 15.393  | 15.3808   |
  | 0.9736        | 6.0   | 4626 | 3.4080          | 15.7572 | 8.806   | 15.2435 | 15.3036   |
  | 0.7824        | 7.0   | 5397 | 3.5537          | 18.4389 | 9.5135  | 17.7836 | 17.8758   |
  | 0.6233        | 8.0   | 6168 | 3.6909          | 14.6698 | 6.9584  | 13.9417 | 14.0057   |
  | 0.5086        | 9.0   | 6939 | 3.7357          | 16.9465 | 7.7604  | 16.1993 | 16.2963   |
  | 0.4412        | 10.0  | 7710 | 3.7572          | 17.2662 | 8.7425  | 16.5765 | 16.6844   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  