transformers safetensors bart text2text-generation generated_from_trainer summarization dataset:samsum base_model:facebook/bart-large-xsum base_model:finetune:facebook/bart-large-xsum license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/bart-large-xsum
datasets:
- samsum
license: mit
metrics:
- rouge
- bleu
pipeline_tag: summarization
tags:
- generated_from_trainer
model-index:
- name: bart_samsum
  results: []
---

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# 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