readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv-v3-e10
    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-pubmed-arxiv-pubmed-arxiv-arxiv-v3-e10
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv](https://huggingface.co/theojolliffe/bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8234
  - Rouge1: 55.5793
  - Rouge2: 40.0855
  - Rougel: 42.0964
  - Rougelsum: 53.6353
  - 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | No log        | 1.0   | 398  | 0.8670          | 53.2875 | 33.7336 | 36.1194 | 50.6842   | 142.0    |
  | 0.8268        | 2.0   | 796  | 0.8041          | 53.8106 | 34.5241 | 37.4362 | 51.2786   | 142.0    |
  | 0.5316        | 3.0   | 1194 | 0.8188          | 53.28   | 33.6    | 36.5483 | 50.6643   | 142.0    |
  | 0.3572        | 4.0   | 1592 | 0.7821          | 53.9262 | 35.1924 | 37.8367 | 51.6176   | 141.7778 |
  | 0.3572        | 5.0   | 1990 | 0.7837          | 55.35   | 37.6648 | 40.6764 | 52.5981   | 142.0    |
  | 0.2426        | 6.0   | 2388 | 0.7760          | 55.4524 | 39.1414 | 42.4299 | 53.2113   | 141.9815 |
  | 0.1698        | 7.0   | 2786 | 0.7921          | 56.7694 | 40.3148 | 43.3934 | 54.7093   | 142.0    |
  | 0.1192        | 8.0   | 3184 | 0.8013          | 54.4313 | 37.6505 | 39.743  | 52.1465   | 142.0    |
  | 0.1           | 9.0   | 3582 | 0.8139          | 55.6947 | 40.2425 | 42.7441 | 53.7018   | 142.0    |
  | 0.1           | 10.0  | 3980 | 0.8234          | 55.5793 | 40.0855 | 42.0964 | 53.6353   | 142.0    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  