| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| bart_samsum - bnb 8bits | |
| - Model creator: https://huggingface.co/Arjun9/ | |
| - Original model: https://huggingface.co/Arjun9/bart_samsum/ | |
| Original model description: | |
| --- | |
| 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 | |