Add evaluation results on cnn_dailymail dataset
#1
by
autoevaluator
HF staff
- opened
README.md
CHANGED
@@ -9,6 +9,42 @@ metrics:
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- R1
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- R2
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- RL
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---
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## facebook/bart-base model fine-tuned on CNN/DailyMail
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- R1
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- R2
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- RL
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model-index:
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- name: echarlaix/bart-base-cnn-r2-19.4-d35-hybrid
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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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dataset:
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name: cnn_dailymail
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type: cnn_dailymail
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config: 3.0.0
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split: test
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metrics:
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- name: ROUGE-1
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type: rouge
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value: 24.2717
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 11.8434
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 20.1958
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 22.8206
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verified: true
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- name: loss
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type: loss
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value: 1.91438627243042
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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: 20.0
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verified: true
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---
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## facebook/bart-base model fine-tuned on CNN/DailyMail
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