readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-cnn-12-6-summarization_final_labeled_data
    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-cnn-12-6-summarization_final_labeled_data
  
  This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0858
  - Rouge1: 76.5974
  - Rouge2: 66.1659
  - Rougel: 71.9284
  - Rougelsum: 75.2459
  - Gen Len: 122.5
  
  ## 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: 2
  - eval_batch_size: 2
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 99   | 0.2852          | 61.0841 | 45.81   | 52.9835 | 59.0452   | 116.92  |
  | No log        | 2.0   | 198  | 0.1547          | 71.534  | 59.9905 | 66.4697 | 70.5213   | 117.56  |
  | No log        | 3.0   | 297  | 0.1100          | 71.6464 | 59.0112 | 67.3835 | 70.5206   | 117.24  |
  | No log        | 4.0   | 396  | 0.0960          | 77.9213 | 67.6116 | 73.7888 | 76.8473   | 123.62  |
  | No log        | 5.0   | 495  | 0.0858          | 76.5974 | 66.1659 | 71.9284 | 75.2459   | 122.5   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  