readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart_large_summarise
    results: []
  ---
  
  ![SGH logo.png](https://s3.amazonaws.com/moonup/production/uploads/1667143139655-631feef1124782a19eff4243.png)
  
  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the SGH news articles and summaries dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7389
  - Rouge1: 0.5297
  - Rouge2: 0.3602
  - Rougel: 0.3961
  - Rougelsum: 0.4821
  - Gen Len: 137.9091
  
  ## Model description
  
  This model was created to generate summaries of news articles.
  
  ## Intended uses & limitations
  
  The model takes up to maximum article length of 1024 tokens and generates a summary of maximum length of 512 tokens.
  
  ## Training data
  
  This model was trained on 100+ articles and summaries from SGH.
  
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10
  - label_smoothing_factor: 0.1
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  