readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distill-pegasus-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. -->
  
  # distill-pegasus-cnn-arxiv-pubmed-v3-e8
  
  This model is a fine-tuned version of [theojolliffe/distill-pegasus-cnn-arxiv-pubmed](https://huggingface.co/theojolliffe/distill-pegasus-cnn-arxiv-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6844
  - Rouge1: 49.0081
  - Rouge2: 30.6784
  - Rougel: 33.5258
  - Rougelsum: 45.5354
  - Gen Len: 125.6852
  
  ## 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: 1
  - eval_batch_size: 1
  - 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  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 2.7633        | 1.0   | 795  | 2.1211          | 48.9615 | 30.3509 | 33.7359 | 44.508    | 124.7963 |
  | 2.3051        | 2.0   | 1590 | 1.9464          | 48.6806 | 30.452  | 34.2187 | 44.6379   | 124.6296 |
  | 2.2244        | 3.0   | 2385 | 1.8294          | 48.9739 | 30.6717 | 33.605  | 45.0942   | 125.3704 |
  | 2.0733        | 4.0   | 3180 | 1.7769          | 49.0049 | 30.8354 | 33.6965 | 44.8603   | 125.7037 |
  | 1.9759        | 5.0   | 3975 | 1.7192          | 50.3946 | 32.1072 | 34.5453 | 46.4493   | 125.5741 |
  | 1.9478        | 6.0   | 4770 | 1.7037          | 49.4631 | 31.654  | 34.4601 | 46.2376   | 125.5185 |
  | 1.9016        | 7.0   | 5565 | 1.6874          | 48.2641 | 29.6354 | 33.1059 | 44.8436   | 125.6852 |
  | 1.8882        | 8.0   | 6360 | 1.6844          | 49.0081 | 30.6784 | 33.5258 | 45.5354   | 125.6852 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  