model update

README.md

@@ -79,6 +79,39 @@ model-index:
     - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
       type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
       value: 85.62
+    - name: BLEU4 (Question & Answer Generation)
+      type: bleu4_question_answer_generation
+      value: 0.96
+    - name: ROUGE-L (Question & Answer Generation)
+      type: rouge_l_question_answer_generation
+      value: 12.88
+    - name: METEOR (Question & Answer Generation)
+      type: meteor_question_answer_generation
+      value: 23.62
+    - name: BERTScore (Question & Answer Generation)
+      type: bertscore_question_answer_generation
+      value: 67.72
+    - name: MoverScore (Question & Answer Generation)
+      type: moverscore_question_answer_generation
+      value: 62.37
+    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
+      value: 80.64
+    - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
+      value: 83.95
+    - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
+      value: 77.67
+    - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
+      value: 82.74
+    - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
+      value: 87.04
+    - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
+      value: 78.99
 ---
 
 # Model Card of `lmqg/mbart-large-cc25-koquad-qg`
@@ -152,6 +185,26 @@ output = pipe("1990년 영화 《 <hl> 남부군 <hl> 》에서 단역으로 영
 | ROUGE_L                         |   47.9  | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 
 
+- ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mbart-large-cc25-koquad-ae`](https://huggingface.co/lmqg/mbart-large-cc25-koquad-ae). [raw metric file](https://huggingface.co/lmqg/mbart-large-cc25-koquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mbart-large-cc25-koquad-ae.json)
+
+|                                 |   Score | Type    | Dataset                                                          |
+|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
+| BERTScore                       |   67.72 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_1                          |    8.03 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_2                          |    4.3  | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_3                          |    2.04 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_4                          |    0.96 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| METEOR                          |   23.62 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| MoverScore                      |   62.37 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| QAAlignedF1Score (BERTScore)    |   80.64 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| QAAlignedF1Score (MoverScore)   |   82.74 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| QAAlignedPrecision (BERTScore)  |   77.67 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| QAAlignedPrecision (MoverScore) |   78.99 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| QAAlignedRecall (BERTScore)     |   83.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| QAAlignedRecall (MoverScore)    |   87.04 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| ROUGE_L                         |   12.88 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+
+
 
 ## Training hyperparameters