readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-multi_news-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. -->
  
  # pegasus-multi_news-commentaries_hdwriter
  
  This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7259
  - Rouge1: 21.3899
  - Rouge2: 6.2409
  - Rougel: 16.6172
  - Rougelsum: 17.808
  - Gen Len: 34.7016
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.847         | 1.0   | 4710  | 2.7513          | 20.5559 | 5.9762 | 16.1223 | 17.2872   | 35.81   |
  | 2.6399        | 2.0   | 9420  | 2.6890          | 21.2052 | 6.0104 | 16.5753 | 17.6517   | 34.5242 |
  | 2.3811        | 3.0   | 14130 | 2.6904          | 21.2358 | 6.1416 | 16.6053 | 17.7067   | 34.6157 |
  | 2.2388        | 4.0   | 18840 | 2.7112          | 21.3806 | 6.1895 | 16.6909 | 17.7504   | 34.5227 |
  | 2.1589        | 5.0   | 23550 | 2.7259          | 21.3899 | 6.2409 | 16.6172 | 17.808    | 34.7016 |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  