readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-podimo-data-eval-1
    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-podimo-data-eval-1
  
  This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3983
  - Rouge1: 34.6132
  - Rouge2: 7.9113
  - Rougel: 17.9418
  - Rougelsum: 31.5251
  - Gen Len: 141.5587
  
  ## 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: 5e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 64
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
  | 4.1934        | 0.98  | 44   | 3.7592          | 32.8148 | 6.457  | 16.8696 | 29.6986   | 141.4441 |
  | 3.6362        | 1.98  | 88   | 3.5809          | 33.0442 | 6.851  | 17.1323 | 30.1382   | 141.324  |
  | 3.3554        | 2.98  | 132  | 3.4835          | 33.66   | 7.1375 | 17.5152 | 30.5783   | 141.2793 |
  | 3.1566        | 3.98  | 176  | 3.4301          | 34.524  | 7.757  | 17.995  | 31.5808   | 141.7151 |
  | 3.0107        | 4.98  | 220  | 3.4099          | 34.3459 | 7.7512 | 18.0605 | 31.4531   | 141.4106 |
  | 2.901         | 5.98  | 264  | 3.4073          | 35.028  | 7.9099 | 17.9907 | 31.8304   | 141.5419 |
  | 2.8246        | 6.98  | 308  | 3.3983          | 34.1937 | 7.8606 | 17.7858 | 31.1331   | 141.5279 |
  | 2.7306        | 7.98  | 352  | 3.3983          | 34.6132 | 7.9113 | 17.9418 | 31.5251   | 141.5587 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  