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Update README.md
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README.md
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@@ -6,7 +6,7 @@ tags:
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- summarization
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license: apache-2.0
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datasets:
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- cnndaily/newyorkdaily/xsum/samsum
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metrics:
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- rouge
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widget:
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@@ -55,6 +55,84 @@ model-index:
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- name: Test ROGUE-Lsum
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type: gen-length
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value: 29.9951
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---
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Model obtained by Fine Tuning 'facebook/bart-large-xsum' using AMI Meeting Corpus, SAMSUM Dataset, DIALOGSUM Dataset, XSUM Dataset!
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## Usage
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- summarization
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license: apache-2.0
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datasets:
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+
- cnndaily/newyorkdaily/xsum/samsum/dialogsum/AMI
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metrics:
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- rouge
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widget:
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- name: Test ROGUE-Lsum
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type: gen-length
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value: 29.9951
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- name: MEETING_SUMMARY
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results:
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- task:
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name: Abstractive Text Summarization
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type: abstractive-text-summarization
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dataset:
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name: "xsum"
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type: xsum
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metrics:
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- name: Validation ROGUE-1
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type: rouge-1
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value: 35.9078
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- name: Validation ROGUE-2
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type: rouge-2
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value: 14.2497
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- name: Validation ROGUE-L
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type: rouge-L
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value: 28.1421
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- name: Validation ROGUE-Lsum
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type: rouge-Lsum
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value: 28.9826
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- name: Validation ROGUE-Lsum
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type: gen-length
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value: 32.0167
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- name: Test ROGUE-1
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type: rouge-1
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value: 36.0241
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- name: Test ROGUE-2
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type: rouge-2
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value: 14.3715
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- name: Test ROGUE-L
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type: rouge-L
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value: 28.1968
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- name: Test ROGUE-Lsum
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type: rouge-Lsum
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value: 29.0527
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- name: Test ROGUE-Lsum
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type: gen-length
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value: 31.9933
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- name: MEETING_SUMMARY
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results:
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- task:
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name: Abstractive Text Summarization
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type: abstractive-text-summarization
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dataset:
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name: "dialogsum"
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type: dialogsum
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metrics:
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- name: Validation ROGUE-1
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type: rouge-1
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value: 39.8612
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- name: Validation ROGUE-2
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type: rouge-2
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value: 16.6917
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- name: Validation ROGUE-L
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type: rouge-L
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value: 32.2718
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- name: Validation ROGUE-Lsum
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type: rouge-Lsum
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value: 35.8748
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- name: Validation ROGUE-Lsum
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type: gen-length
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value: 41.726
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- name: Test ROGUE-1
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type: rouge-1
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value: 36.9608
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- name: Test ROGUE-2
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type: rouge-2
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value: 14.3058
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- name: Test ROGUE-L
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type: rouge-L
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value: 29.3261
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- name: Test ROGUE-Lsum
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type: rouge-Lsum
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value: 32.9
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- name: Test ROGUE-Lsum
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type: gen-length
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value: 43.086
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---
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Model obtained by Fine Tuning 'facebook/bart-large-xsum' using AMI Meeting Corpus, SAMSUM Dataset, DIALOGSUM Dataset, XSUM Dataset!
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## Usage
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