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model update

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@@ -79,6 +79,39 @@ model-index:
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  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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  type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 55.61
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card of `lmqg/mbart-large-cc25-frquad-qg`
@@ -152,6 +185,26 @@ output = pipe("Créateur » (Maker), lui aussi au singulier, « <hl> le Suprême
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  | ROUGE_L | 33.61 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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  ## Training hyperparameters
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  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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  type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 55.61
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+ - name: BLEU4 (Question & Answer Generation)
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+ type: bleu4_question_answer_generation
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+ value: 0.83
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+ - name: ROUGE-L (Question & Answer Generation)
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+ type: rouge_l_question_answer_generation
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+ value: 12.08
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+ - name: METEOR (Question & Answer Generation)
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+ type: meteor_question_answer_generation
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+ value: 14.86
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+ - name: BERTScore (Question & Answer Generation)
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+ type: bertscore_question_answer_generation
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+ value: 61.78
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+ - name: MoverScore (Question & Answer Generation)
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+ type: moverscore_question_answer_generation
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+ value: 49.58
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+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
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+ value: 75.55
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+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
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+ value: 77.16
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+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
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+ value: 74.04
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+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
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+ value: 51.75
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+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
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+ value: 52.52
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+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
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+ value: 51.03
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  ---
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  # Model Card of `lmqg/mbart-large-cc25-frquad-qg`
 
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  | ROUGE_L | 33.61 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mbart-large-cc25-frquad-ae`](https://huggingface.co/lmqg/mbart-large-cc25-frquad-ae). [raw metric file](https://huggingface.co/lmqg/mbart-large-cc25-frquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_frquad.default.lmqg_mbart-large-cc25-frquad-ae.json)
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+
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+ | | Score | Type | Dataset |
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+ |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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+ | BERTScore | 61.78 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | Bleu_1 | 7.78 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | Bleu_2 | 3.53 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | Bleu_3 | 1.74 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | Bleu_4 | 0.83 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | METEOR | 14.86 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | MoverScore | 49.58 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | QAAlignedF1Score (BERTScore) | 75.55 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | QAAlignedF1Score (MoverScore) | 51.75 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | QAAlignedPrecision (BERTScore) | 74.04 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | QAAlignedPrecision (MoverScore) | 51.03 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | QAAlignedRecall (BERTScore) | 77.16 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | QAAlignedRecall (MoverScore) | 52.52 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+ | ROUGE_L | 12.08 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
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+
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  ## Training hyperparameters
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