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model update

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  1. README.md +13 -0
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@@ -46,6 +46,12 @@ model-index:
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  - name: MoverScore
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  type: moverscore
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  value: 0.5650286067741268
 
 
 
 
 
 
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  ---
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  # Model Card of `lmqg/mt5-small-frquad`
@@ -112,6 +118,13 @@ question = pipe('Créateur » (Maker), lui aussi au singulier, « <hl> le Suprê
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  | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) | default | 0.086 | 0.286 | 0.175 | 0.807 | 0.565 | [link](https://huggingface.co/lmqg/mt5-small-frquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_frquad.default.json) |
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  ## Training hyperparameters
 
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  - name: MoverScore
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  type: moverscore
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  value: 0.5650286067741268
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+ - name: QAAlignedF1Score (BERTScore)
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+ type: qa_aligned_f1_score_bertscore
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+ value: 0.8852103620711703
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+ - name: QAAlignedF1Score (MoverScore)
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+ type: qa_aligned_f1_score_moverscore
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+ value: 0.6245596383839435
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  ---
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  # Model Card of `lmqg/mt5-small-frquad`
 
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  | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) | default | 0.086 | 0.286 | 0.175 | 0.807 | 0.565 | [link](https://huggingface.co/lmqg/mt5-small-frquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_frquad.default.json) |
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+ ### Metrics (QAG)
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+
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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/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) | default | 0.885 | 0.625 | [link](https://huggingface.co/lmqg/mt5-small-frquad/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_frquad.default.json) |
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  ## Training hyperparameters