readme: ---
  license: apache-2.0
  tags:
  - distilbart
  - summarization
  model-index:
  - name: MLQ-distilbart-bbc
    results:
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: bbc
        type: bbc
        config: default
        split: test
      metrics:
      - name: ROUGE-2
        type: rouge
        value: 61.43
        verified: false
        
  ---
  <!-- 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. -->
  
  # MLQ-distilbart-bbc
  
  This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the BBC News Summary dataset (https://www.kaggle.com/pariza/bbc-news-summary).
  
  The model has been generated as part of the in-lab practice of **Deep NLP course** currently held at Politecnico di Torino.
  
  Training parameters:
  - `num_train_epochs=2`
  - `fp16=True`
  - `per_device_train_batch_size=1`
  - `warmup_steps=10`
  - `weight_decay=0.01`
  - `max_seq_length=100`