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metrics:
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library_name: transformers
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pipeline_tag: summarization
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model-index:
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---
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# bart-large-cnn-finetuned-samsum-lora
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## Model description
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* This model further finetuned 'bart-large-cnn' on the more conversational samsum dataset.
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* LoRA (r = 8) was used to further reduced the model size.
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* The model checkpoint is less than 5MB.
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## Intended uses & limitations
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metrics:
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- rouge
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library_name: transformers
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model-index:
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- name: bart-large-cnn
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: samsum
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type: samsum
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split: validation
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metrics:
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- name: Rouge1
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type: rouge
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value: 43.115
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---
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# bart-large-cnn-finetuned-samsum-lora
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## Model description
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* This model further finetuned 'bart-large-cnn' on the more conversational samsum dataset.
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* Huggingface [PEFT Library](https://github.com/huggingface/peft) LoRA (r = 8) was used to further reduced the model size. Less than 1.2M parameters were trained (0.23% of original bart-large 510M parameters).
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* The model checkpoint is less than 5MB.
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## Intended uses & limitations
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