readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-podimo-data-eval-2
    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-2
  
  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: 3.5823
  - Rouge1: 34.3971
  - Rouge2: 7.95
  - Rougel: 18.7271
  - Rougelsum: 30.9024
  - Gen Len: 131.919
  
  ## 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  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
  | 4.1512        | 0.98  | 44   | 3.7806          | 32.727  | 6.5788 | 17.5196 | 29.3777   | 137.2905 |
  | 3.6342        | 1.98  | 88   | 3.6421          | 32.709  | 6.7877 | 17.8668 | 29.4636   | 134.6648 |
  | 3.3512        | 2.98  | 132  | 3.5819          | 33.5128 | 7.519  | 18.6614 | 30.1142   | 132.2961 |
  | 3.141         | 3.98  | 176  | 3.5552          | 33.4795 | 7.3242 | 18.396  | 30.0854   | 132.757  |
  | 2.9787        | 4.98  | 220  | 3.5583          | 33.5862 | 7.391  | 18.3568 | 30.2461   | 132.4078 |
  | 2.8555        | 5.98  | 264  | 3.5650          | 34.1111 | 7.8008 | 18.7159 | 30.6055   | 131.3603 |
  | 2.7648        | 6.98  | 308  | 3.5729          | 34.0981 | 7.6556 | 18.6373 | 30.6269   | 131.2821 |
  | 2.6645        | 7.98  | 352  | 3.5823          | 34.3971 | 7.95   | 18.7271 | 30.9024   | 131.919  |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  