readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-cnn_dailymail-v4-e1-e4-feedback
    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. -->
  
  # pegasus-cnn_dailymail-v4-e1-e4-feedback
  
  This model is a fine-tuned version of [theojolliffe/pegasus-cnn_dailymail-v4-e1](https://huggingface.co/theojolliffe/pegasus-cnn_dailymail-v4-e1) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.1815
  - Rouge1: 59.7329
  - Rouge2: 42.429
  - Rougel: 53.5945
  - Rougelsum: 52.9219
  - Gen Len: 37.8636
  
  ## 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 90   | 5.5674          | 60.4652 | 43.8057 | 54.5759 | 52.5243   | 39.5    |
  | No log        | 2.0   | 180  | 5.3261          | 60.248  | 43.9953 | 54.9492 | 53.6372   | 38.6364 |
  | No log        | 3.0   | 270  | 5.2167          | 60.4887 | 43.6915 | 54.3825 | 53.5206   | 37.1364 |
  | No log        | 4.0   | 360  | 5.1815          | 59.7329 | 42.429  | 53.5945 | 52.9219   | 37.8636 |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.9.0
  - Datasets 1.18.0
  - Tokenizers 0.10.3
  