| license: apache-2.0 | |
| tags: | |
| - distilbart | |
| - summarization | |
| base_model: sshleifer/distilbart-cnn-12-6 | |
| model-index: | |
| - name: MLQ-distilbart-bbc | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: bbc | |
| type: bbc | |
| config: default | |
| split: test | |
| metrics: | |
| - type: rouge | |
| value: 61.43 | |
| name: ROUGE-2 | |
| 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` |