readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-pubmed-arxiv-pubmed-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-v3-e8
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-pubmed-arxiv-pubmed](https://huggingface.co/theojolliffe/bart-cnn-pubmed-arxiv-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7778
  - Rouge1: 55.6307
  - Rouge2: 38.1306
  - Rougel: 40.7127
  - Rougelsum: 53.3739
  - Gen Len: 141.9815
  
  ## 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  | 0.9563          | 53.0477 | 33.0365 | 35.4483 | 50.5525   | 142.0    |
  | 1.1233        | 2.0   | 796  | 0.8260          | 53.8629 | 34.5031 | 37.08   | 51.129    | 142.0    |
  | 0.6753        | 3.0   | 1194 | 0.7898          | 53.6508 | 34.7559 | 37.0541 | 50.7535   | 142.0    |
  | 0.4532        | 4.0   | 1592 | 0.7765          | 53.2109 | 34.5657 | 37.3743 | 50.9145   | 142.0    |
  | 0.4532        | 5.0   | 1990 | 0.7551          | 55.0766 | 37.5722 | 40.0653 | 52.5655   | 142.0    |
  | 0.3142        | 6.0   | 2388 | 0.7744          | 54.7674 | 36.7664 | 39.9027 | 52.1542   | 142.0    |
  | 0.2257        | 7.0   | 2786 | 0.7728          | 55.6258 | 37.9929 | 40.8985 | 53.4423   | 142.0    |
  | 0.1674        | 8.0   | 3184 | 0.7778          | 55.6307 | 38.1306 | 40.7127 | 53.3739   | 141.9815 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  