readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - reddit
  metrics:
  - rouge
  model-index:
  - name: pegasus-reddit
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: reddit
        type: reddit
        args: default
      metrics:
      - name: Rouge1
        type: rouge
        value: 23.967
  ---
  
  <!-- 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-reddit
  
  This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the reddit dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3329
  - Rouge1: 23.967
  - Rouge2: 5.0032
  - Rougel: 15.3267
  - Rougelsum: 18.5905
  - Gen Len: 69.2193
  
  ## 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: 6.35e-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: cosine
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 1.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.1
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  