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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: 61.73
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card of `lmqg/mt5-small-itquad-qg`
@@ -152,6 +185,26 @@ output = pipe("<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi
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  | ROUGE_L | 40.08 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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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: 61.73
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+ - name: BLEU4 (Question & Answer Generation)
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+ type: bleu4_question_answer_generation
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+ value: 3.48
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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: 23.31
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+ - name: METEOR (Question & Answer Generation)
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+ type: meteor_question_answer_generation
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+ value: 23.95
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+ - name: BERTScore (Question & Answer Generation)
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+ type: bertscore_question_answer_generation
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+ value: 77.23
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+ - name: MoverScore (Question & Answer Generation)
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+ type: moverscore_question_answer_generation
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+ value: 54.66
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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: 81.63
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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: 82.28
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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: 81.04
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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: 55.85
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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: 56.14
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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: 55.6
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  ---
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  # Model Card of `lmqg/mt5-small-itquad-qg`
 
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  | ROUGE_L | 40.08 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-small-itquad-ae`](https://huggingface.co/lmqg/mt5-small-itquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-small-itquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_itquad.default.lmqg_mt5-small-itquad-ae.json)
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+
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+ | | Score | Type | Dataset |
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+ |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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+ | BERTScore | 77.23 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | Bleu_1 | 23.77 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | Bleu_2 | 13.25 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | Bleu_3 | 6.48 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | Bleu_4 | 3.48 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | METEOR | 23.95 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | MoverScore | 54.66 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | QAAlignedF1Score (BERTScore) | 81.63 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | QAAlignedF1Score (MoverScore) | 55.85 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | QAAlignedPrecision (BERTScore) | 81.04 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | QAAlignedPrecision (MoverScore) | 55.6 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | QAAlignedRecall (BERTScore) | 82.28 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | QAAlignedRecall (MoverScore) | 56.14 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ | ROUGE_L | 23.31 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  ## Training hyperparameters
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