RichardErkhov/

lidiya_-_bart-large-xsum-samsum-4bits

• Model creator: https://huggingface.co/lidiya/
• Original model: https://huggingface.co/lidiya/bart-large-xsum-samsum/

Original model description:

• bart
• seq2seq
• summarization license: apache-2.0 datasets:
• samsum widget:
• text: | Hannah: Hey, do you have Betty's number? Amanda: Lemme check Amanda: Sorry, can't find it. Amanda: Ask Larry Amanda: He called her last time we were at the park together Hannah: I don't know him well Amanda: Don't be shy, he's very nice Hannah: If you say so.. Hannah: I'd rather you texted him Amanda: Just text him 🙂 Hannah: Urgh.. Alright Hannah: Bye Amanda: Bye bye model-index:
• name: bart-large-xsum-samsum results:
  • task: name: Abstractive Text Summarization type: abstractive-text-summarization dataset: name: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization" type: samsum metrics:
    • name: Validation ROUGE-1 type: rouge-1 value: 54.3921
    • name: Validation ROUGE-2 type: rouge-2 value: 29.8078
    • name: Validation ROUGE-L type: rouge-l value: 45.1543
    • name: Test ROUGE-1 type: rouge-1 value: 53.3059
    • name: Test ROUGE-2 type: rouge-2 value: 28.355
    • name: Test ROUGE-L type: rouge-l value: 44.0953

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bart-large-xsum-samsum

Usage

Training procedure

• Colab notebook: https://colab.research.google.com/drive/1dul0Sg-TTMy9xZCJzmDRajXbyzDwtYx6?usp=sharing

Results