model update

README.md

@@ -46,6 +46,12 @@ model-index:
     - name: MoverScore
       type: moverscore
       value: 0.8294576496428497
+    - name: QAAlignedF1Score (BERTScore)
+      type: qa_aligned_f1_score_bertscore
+      value: 0.8818018633414481
+    - name: QAAlignedF1Score (MoverScore)
+      type: qa_aligned_f1_score_moverscore
+      value: 0.8553077643399473
 ---
 
 # Model Card of `lmqg/mbart-large-cc25-koquad`
@@ -112,6 +118,13 @@ question = pipe('1990년 영화 《 <hl> 남부군 <hl> 》에서 단역으로
 | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) | default | 0.109 | 0.278 | 0.302 | 0.839 | 0.829 | [link](https://huggingface.co/lmqg/mbart-large-cc25-koquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_koquad.default.json) | 
 
 
+### Metrics (QAG)
+
+| Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
+|:--------|:-----|--------------------------------:|---------------------------------:|-----:|
+| [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) | default | 0.882 | 0.855 | [link](https://huggingface.co/lmqg/mbart-large-cc25-koquad/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.json) | 
+    
+
 
 
 ## Training hyperparameters