| | --- |
| | license: mit |
| | base_model: facebook/bart-large-xsum |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | - bleu |
| | model-index: |
| | - name: bart_samsum |
| | results: [] |
| | datasets: |
| | - samsum |
| | pipeline_tag: summarization |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # bart_samsum |
| | |
| | This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the [samsum](https://huggingface.co/datasets/samsum) dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.4947 |
| | - Rouge1: 53.3294 |
| | - Rouge2: 28.6009 |
| | - Rougel: 44.2008 |
| | - Rougelsum: 49.2031 |
| | - Bleu: 0.0 |
| | - Meteor: 0.4887 |
| | - Gen Len: 30.1209 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.0 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
