readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv
    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
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-pubmed-arxiv-pubmed-arxiv](https://huggingface.co/theojolliffe/bart-cnn-pubmed-arxiv-pubmed-arxiv) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8065
  - Rouge1: 54.5916
  - Rouge2: 36.7817
  - Rougel: 40.4708
  - Rougelsum: 52.5754
  - 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: 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 1.2945        | 1.0   | 795  | 0.9555          | 51.91   | 32.0926 | 33.6727 | 49.5306   | 142.0    |
  | 0.7153        | 2.0   | 1590 | 0.8317          | 52.4708 | 34.1035 | 35.2968 | 50.2966   | 141.963  |
  | 0.5398        | 3.0   | 2385 | 0.8133          | 52.4603 | 33.497  | 36.4227 | 50.2513   | 141.8704 |
  | 0.3568        | 4.0   | 3180 | 0.8091          | 52.3993 | 34.2424 | 37.7819 | 50.2069   | 142.0    |
  | 0.2842        | 5.0   | 3975 | 0.8065          | 54.5916 | 36.7817 | 40.4708 | 52.5754   | 142.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.0
  - Tokenizers 0.12.1
  