readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - reddit
  metrics:
  - rouge
  model-index:
  - name: pegasus-xsum-reddit-clean-4
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: reddit
        type: reddit
        args: default
      metrics:
      - name: Rouge1
        type: rouge
        value: 27.7525
  ---
  
  <!-- 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-xsum-reddit-clean-4
  
  This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the reddit dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7697
  - Rouge1: 27.7525
  - Rouge2: 7.9823
  - Rougel: 20.9276
  - Rougelsum: 22.6678
  
  ## 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: 5.6e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 3.0594        | 1.0   | 1906 | 2.8489          | 27.9837 | 8.0824 | 20.9135 | 22.7261   |
  | 2.861         | 2.0   | 3812 | 2.7793          | 27.8298 | 8.048  | 20.8653 | 22.6781   |
  | 2.7358        | 3.0   | 5718 | 2.7697          | 27.7525 | 7.9823 | 20.9276 | 22.6678   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  