asahi417 commited on
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model update

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  1. README.md +7 -7
README.md CHANGED
@@ -18,7 +18,7 @@ widget:
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  example_title: "Question Generation Example 1"
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  - text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
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  example_title: "Question Generation Example 2"
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- - text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ."
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  example_title: "Question Generation Example 3"
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  model-index:
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  - name: lmqg/t5-base-squad-no-paragraph
@@ -33,19 +33,19 @@ model-index:
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  metrics:
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  - name: BLEU4
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  type: bleu4
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- value: 0.25621551412628607
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  - name: ROUGE-L
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  type: rouge-l
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- value: 0.5316506296083713
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  - name: METEOR
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  type: meteor
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- value: 0.2664764608971179
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  - name: BERTScore
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  type: bertscore
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- value: 0.9083691984683867
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  - name: MoverScore
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  type: moverscore
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- value: 0.6469455096832166
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  ---
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  # Language Models Fine-tuning on Question Generation: `lmqg/t5-base-squad-no-paragraph`
@@ -81,7 +81,7 @@ question = pipe(input_text)
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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- | [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.25621551412628607 | 0.5316506296083713 | 0.2664764608971179 | 0.9083691984683867 | 0.6469455096832166 | [link](https://huggingface.co/lmqg/t5-base-squad-no-paragraph/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
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  example_title: "Question Generation Example 1"
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  - text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
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  example_title: "Question Generation Example 2"
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+ - text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ."
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  example_title: "Question Generation Example 3"
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  model-index:
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  - name: lmqg/t5-base-squad-no-paragraph
 
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  metrics:
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  - name: BLEU4
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  type: bleu4
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+ value: 0.24333113204169607
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  - name: ROUGE-L
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  type: rouge-l
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+ value: 0.5180594839370757
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  - name: METEOR
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  type: meteor
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+ value: 0.2581450886886534
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  - name: BERTScore
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  type: bertscore
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+ value: 0.907275978890228
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  - name: MoverScore
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  type: moverscore
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+ value: 0.6400353625885767
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  ---
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  # Language Models Fine-tuning on Question Generation: `lmqg/t5-base-squad-no-paragraph`
 
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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+ | [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.24333113204169607 | 0.5180594839370757 | 0.2581450886886534 | 0.907275978890228 | 0.6400353625885767 | [link](https://huggingface.co/lmqg/t5-base-squad-no-paragraph/raw/main/eval/metric.first.sentence.sentence_answer.question.lmqg_qg_squad.default.json) |
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