readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv-v3-e8
    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-e8
  
  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: 0.8063
  - Rouge1: 54.9922
  - Rouge2: 38.7265
  - Rougel: 41.9288
  - Rougelsum: 52.8766
  - 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: 8
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | No log        | 1.0   | 398  | 0.8651          | 53.3185 | 33.3722 | 35.8852 | 50.5929   | 142.0    |
  | 0.8268        | 2.0   | 796  | 0.8063          | 53.5267 | 34.3205 | 36.9783 | 51.0289   | 142.0    |
  | 0.5331        | 3.0   | 1194 | 0.8155          | 53.5409 | 34.9962 | 38.078  | 51.2038   | 142.0    |
  | 0.3588        | 4.0   | 1592 | 0.7883          | 53.7055 | 35.0869 | 38.1521 | 51.3094   | 141.4815 |
  | 0.3588        | 5.0   | 1990 | 0.7770          | 54.4542 | 37.5817 | 39.8734 | 52.1947   | 141.7778 |
  | 0.2447        | 6.0   | 2388 | 0.7929          | 55.1571 | 38.8425 | 41.4301 | 53.3049   | 141.4444 |
  | 0.1765        | 7.0   | 2786 | 0.7909          | 55.5838 | 38.6226 | 42.0453 | 53.543    | 142.0    |
  | 0.13          | 8.0   | 3184 | 0.8063          | 54.9922 | 38.7265 | 41.9288 | 52.8766   | 142.0    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  