readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-podimo-data-eval-3
    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-3
  
  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: 3.3828
  - Rouge1: 32.8203
  - Rouge2: 7.8994
  - Rougel: 18.9659
  - Rougelsum: 29.4196
  - Gen Len: 114.5264
  
  ## 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  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
  | 3.9049        | 1.0   | 132  | 3.5343          | 30.2542 | 6.031  | 17.269  | 26.9847   | 113.7689 |
  | 3.4248        | 2.0   | 264  | 3.4055          | 31.6518 | 7.2786 | 18.2641 | 28.4006   | 114.6547 |
  | 3.1594        | 3.0   | 396  | 3.3579          | 32.0442 | 7.3554 | 18.3492 | 28.7615   | 113.7443 |
  | 2.9645        | 4.0   | 528  | 3.3445          | 32.0945 | 7.637  | 18.6289 | 28.899    | 115.5321 |
  | 2.8073        | 5.0   | 660  | 3.3470          | 32.7852 | 7.9597 | 19.2358 | 29.5057   | 108.3519 |
  | 2.685         | 6.0   | 792  | 3.3532          | 32.3775 | 7.661  | 18.6719 | 28.9282   | 117.1104 |
  | 2.5941        | 7.0   | 924  | 3.3711          | 32.6976 | 7.8917 | 19.069  | 29.3785   | 113.1943 |
  | 2.5267        | 8.0   | 1056 | 3.3828          | 32.8203 | 7.8994 | 18.9659 | 29.4196   | 114.5264 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  