readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-podimo-data-eval-2-2e
    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-2-2e
  
  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: 3.7374
  - Rouge1: 32.9705
  - Rouge2: 6.9494
  - Rougel: 17.922
  - Rougelsum: 29.4629
  - Gen Len: 137.5363
  
  ## 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
  | 4.1649        | 0.98  | 44   | 3.8138          | 32.12   | 6.544  | 17.5999 | 28.8314   | 136.4553 |
  | 3.6772        | 1.98  | 88   | 3.7374          | 32.9705 | 6.9494 | 17.922  | 29.4629   | 137.5363 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  