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--- |
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tags: |
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- summarization |
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language: |
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- en |
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widget: |
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- text: Type your medical text here. 🤗 |
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datasets: |
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- sumedh/MeQSum |
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co2_eq_emissions: |
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emissions: 3198.3976606503647 |
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model-index: |
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- name: sumedh/biomedical_text_summarization |
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results: |
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- task: |
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type: summarization |
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name: Summarization |
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metrics: |
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- name: ROUGE-1 |
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type: rouge |
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value: 39.4086 |
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verified: true |
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- name: ROUGE-2 |
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type: rouge |
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value: 12.8115 |
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verified: true |
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- name: ROUGE-L |
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type: rouge |
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value: 21.9191 |
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verified: true |
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- name: ROUGE-LSUM |
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type: rouge |
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value: 35.2431 |
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verified: true |
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- name: loss |
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type: loss |
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value: 2.2001051902770996 |
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verified: true |
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- name: gen_len |
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type: gen_len |
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value: 133.8541 |
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verified: true |
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--- |
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This model was created for text summarization for clinical text. |
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Check the index for evaluation scores on the ROUGE metric. |
