readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-cnn-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. -->
  
  # distilbart-cnn-arxiv-pubmed-v3-e8
  
  This model is a fine-tuned version of [theojolliffe/distilbart-cnn-arxiv-pubmed](https://huggingface.co/theojolliffe/distilbart-cnn-arxiv-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8329
  - Rouge1: 53.3047
  - Rouge2: 34.6219
  - Rougel: 37.6148
  - Rougelsum: 50.8973
  - Gen Len: 141.8704
  
  ## 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  | 1.1211          | 50.4753 | 30.5417 | 33.192  | 48.1321   | 141.8704 |
  | 1.3657        | 2.0   | 796  | 0.9944          | 52.2197 | 33.6109 | 35.9448 | 50.0028   | 141.6111 |
  | 0.887         | 3.0   | 1194 | 0.9149          | 52.796  | 33.7683 | 36.4941 | 50.4514   | 141.5926 |
  | 0.6548        | 4.0   | 1592 | 0.8725          | 52.5353 | 33.4019 | 36.4573 | 50.2506   | 142.0    |
  | 0.6548        | 5.0   | 1990 | 0.8540          | 53.2987 | 34.6476 | 38.314  | 51.163    | 141.4815 |
  | 0.504         | 6.0   | 2388 | 0.8395          | 52.7218 | 34.6524 | 37.9921 | 50.5185   | 141.5556 |
  | 0.4006        | 7.0   | 2786 | 0.8342          | 53.2251 | 35.2702 | 38.3763 | 51.1958   | 141.6667 |
  | 0.3314        | 8.0   | 3184 | 0.8329          | 53.3047 | 34.6219 | 37.6148 | 50.8973   | 141.8704 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  