readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-commentaries_hdwriter
    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-commentaries_hdwriter
  
  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.1619
  - Rouge1: 26.1101
  - Rouge2: 9.928
  - Rougel: 22.9007
  - Rougelsum: 23.117
  - Gen Len: 15.9536
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.6237        | 1.0   | 5072  | 2.5309          | 26.4063 | 9.1795 | 22.6699 | 22.9125   | 17.3103 |
  | 1.8808        | 2.0   | 10144 | 2.5049          | 25.3706 | 8.7568 | 21.8594 | 22.1233   | 15.8579 |
  | 1.3084        | 3.0   | 15216 | 2.6680          | 26.6284 | 9.9914 | 23.1477 | 23.3625   | 16.8832 |
  | 0.9247        | 4.0   | 20288 | 2.8923          | 26.3827 | 9.8217 | 22.9524 | 23.1651   | 15.4529 |
  | 0.692         | 5.0   | 25360 | 3.1619          | 26.1101 | 9.928  | 22.9007 | 23.117    | 15.9536 |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  