readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbart-cnn-6-6-finetuned-summscreen-4-epochs
    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-6-6-finetuned-summscreen-4-epochs
  
  This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the None dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 3.5226
  - eval_rouge1: 31.4668
  - eval_rouge2: 7.5938
  - eval_rougeL: 19.2377
  - eval_rougeLsum: 28.2226
  - eval_gen_len: 137.0266
  - eval_runtime: 378.4349
  - eval_samples_per_second: 0.893
  - eval_steps_per_second: 0.893
  - epoch: 4.0
  - step: 14692
  
  ## 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
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  