readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-finetuned-pubmed-finetuned-roundup-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-large-cnn-finetuned-pubmed-finetuned-roundup-e8
  
  This model is a fine-tuned version of [theojolliffe/bart-large-cnn-finetuned-pubmed](https://huggingface.co/theojolliffe/bart-large-cnn-finetuned-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1034
  - Rouge1: 48.4605
  - Rouge2: 28.5961
  - Rougel: 32.5389
  - Rougelsum: 45.7358
  - 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   | 25   | 1.4278          | 47.952  | 29.4059 | 34.273  | 45.7244   | 142.0   |
  | No log        | 2.0   | 50   | 1.4351          | 48.7561 | 29.4049 | 30.631  | 46.4074   | 142.0   |
  | No log        | 3.0   | 75   | 1.5375          | 50.0069 | 31.4237 | 32.0834 | 47.679    | 142.0   |
  | No log        | 4.0   | 100  | 1.6647          | 49.6919 | 28.8821 | 31.9357 | 47.0396   | 142.0   |
  | No log        | 5.0   | 125  | 1.8070          | 47.8472 | 26.6979 | 30.7049 | 44.5848   | 142.0   |
  | No log        | 6.0   | 150  | 1.9981          | 47.8352 | 27.0966 | 31.4529 | 46.5251   | 142.0   |
  | No log        | 7.0   | 175  | 2.0904          | 48.6272 | 30.5493 | 32.7827 | 46.8462   | 142.0   |
  | No log        | 8.0   | 200  | 2.1034          | 48.4605 | 28.5961 | 32.5389 | 45.7358   | 142.0   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  