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README.md

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+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
+