readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-science-v3-e6
    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. -->
  
  # bart-cnn-science-v3-e6
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-science](https://huggingface.co/theojolliffe/bart-cnn-science) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8057
  - Rouge1: 53.7462
  - Rouge2: 34.9622
  - Rougel: 37.5676
  - Rougelsum: 51.0619
  - Gen Len: 142.0
  
  ## 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: 2e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | No log        | 1.0   | 398  | 0.9961          | 52.632  | 32.8104 | 35.0789 | 50.3747   | 142.0    |
  | 1.174         | 2.0   | 796  | 0.8565          | 52.8308 | 32.7064 | 34.6605 | 50.3348   | 142.0    |
  | 0.7073        | 3.0   | 1194 | 0.8322          | 52.2418 | 32.8677 | 36.1806 | 49.6297   | 141.5556 |
  | 0.4867        | 4.0   | 1592 | 0.8137          | 53.5537 | 34.5404 | 36.7194 | 50.8394   | 142.0    |
  | 0.4867        | 5.0   | 1990 | 0.7996          | 53.4959 | 35.1017 | 37.5143 | 50.9972   | 141.8704 |
  | 0.3529        | 6.0   | 2388 | 0.8057          | 53.7462 | 34.9622 | 37.5676 | 51.0619   | 142.0    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  