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lmqg
/
bart-large-tweetqa-qag

Text2Text Generation
Transformers
PyTorch
English
bart
questions and answers generation
Eval Results
Inference Endpoints
Model card Files Community
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asahi417 commited on
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model update

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  1. README.md +4 -4
README.md CHANGED
@@ -38,16 +38,16 @@ model-index:
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  value: 0.2790788570524155
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  - name: BERTScore
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  type: bertscore
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- value: 0.9126712936479886
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  - name: MoverScore
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  type: moverscore
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  value: 0.62254961921224
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  - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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- value: 0.9242073458583362
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  - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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- value: 0.6462914508423712
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  ---
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  # Model Card of `lmqg/bart-large-tweetqa-qag`
@@ -118,7 +118,7 @@ question = pipe(' Beyonce further expanded her acting career, starring as blues
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  | Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
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  |:--------|:-----|--------------------------------:|---------------------------------:|-----:|
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- | [lmqg/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.924 | 0.646 | [link](https://huggingface.co/lmqg/bart-large-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |
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  value: 0.2790788570524155
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  - name: BERTScore
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  type: bertscore
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+ value: 0.9126712930345617
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  - name: MoverScore
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  type: moverscore
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  value: 0.62254961921224
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  - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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+ value: 0.9246851189868012
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  - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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+ value: 0.6465994118897864
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  ---
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  # Model Card of `lmqg/bart-large-tweetqa-qag`
 
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  | Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
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  |:--------|:-----|--------------------------------:|---------------------------------:|-----:|
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+ | [lmqg/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.925 | 0.647 | [link](https://huggingface.co/lmqg/bart-large-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |
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