model update

README.md

@@ -64,6 +64,24 @@ 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: 71.46
+    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
+      value: 79.14
+    - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
+      value: 82.85
+    - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
+      value: 75.88
+    - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
+      value: 56.25
+    - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
+      value: 58.93
+    - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
+      type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
+      value: 54.01
 ---
 
 # Model Card of `lmqg/mbart-large-cc25-ruquad-qg`
@@ -129,6 +147,18 @@ output = pipe("Нелишним будет отметить, что, разви
 | QAAlignedRecall (MoverScore)    |   71.45 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
 
 
+- ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mbart-large-cc25-ruquad-ae`](https://huggingface.co/lmqg/mbart-large-cc25-ruquad-ae). [raw metric file](https://huggingface.co/lmqg/mbart-large-cc25-ruquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_ruquad.default.lmqg_mbart-large-cc25-ruquad-ae.json)
+
+|                                 |   Score | Type    | Dataset                                                          |
+|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
+| QAAlignedF1Score (BERTScore)    |   79.14 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
+| QAAlignedF1Score (MoverScore)   |   56.25 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
+| QAAlignedPrecision (BERTScore)  |   75.88 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
+| QAAlignedPrecision (MoverScore) |   54.01 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
+| QAAlignedRecall (BERTScore)     |   82.85 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
+| QAAlignedRecall (MoverScore)    |   58.93 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
+
+
 
 ## Training hyperparameters