model update

README.md

@@ -51,6 +51,12 @@ model-index:
     - name: MoverScore
       type: moverscore
       value: 0.8253569952436216
+    - name: QAAlignedF1Score (BERTScore)
+      type: qa_aligned_f1_score_bertscore
+      value: 0.8036359626603298
+    - name: QAAlignedF1Score (MoverScore)
+      type: qa_aligned_f1_score_moverscore
+      value: 0.8283278858086283
 ---
 
 # Model Card of `lmqg/mt5-small-koquad-multitask`
@@ -119,6 +125,13 @@ question = pipe('generate question: 1990년 영화 《 <hl> 남부군 <hl> 》
 | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) | default | 0.109 | 0.258 | 0.275 | 0.834 | 0.825 | [link](https://huggingface.co/lmqg/mt5-small-koquad-multitask/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 | 0.804 | 0.828 | [link](https://huggingface.co/lmqg/mt5-small-koquad-multitask/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.json) | 
+    
+
 
 
 ## Training hyperparameters