model update

README.md

@@ -27,37 +27,37 @@ model-index:
       type: default
       args: default
     metrics:
-    - name: BLEU4
-      type: bleu4
+    - name: BLEU4 ((Question & Answer Generation))
+      type: bleu4_question_answer_generation
       value: 13.27
-    - name: ROUGE-L
-      type: rouge-l
+    - name: ROUGE-L ((Question & Answer Generation))
+      type: rouge_l_question_answer_generation
       value: 33.39
-    - name: METEOR
-      type: meteor
+    - name: METEOR ((Question & Answer Generation))
+      type: meteor_question_answer_generation
       value: 25.66
-    - name: BERTScore
-      type: bertscore
+    - name: BERTScore ((Question & Answer Generation))
+      type: bertscore_question_answer_generation
       value: 91.19
-    - name: MoverScore
-      type: moverscore
+    - name: MoverScore ((Question & Answer Generation))
+      type: moverscore_question_answer_generation
       value: 61.59
-    - name: QAAlignedF1Score (BERTScore)
+    - name: QAAlignedF1Score-BERTScore 
       type: qa_aligned_f1_score_bertscore
       value: 91.5
-    - name: QAAlignedRecall (BERTScore)
+    - name: QAAlignedRecall-BERTScore 
       type: qa_aligned_recall_bertscore
       value: 91.11
-    - name: QAAlignedPrecision (BERTScore)
+    - name: QAAlignedPrecision-BERTScore
       type: qa_aligned_precision_bertscore
       value: 91.9
-    - name: QAAlignedF1Score (MoverScore)
+    - name: QAAlignedF1Score-MoverScore
       type: qa_aligned_f1_score_moverscore
       value: 63.78
-    - name: QAAlignedRecall (MoverScore)
+    - name: QAAlignedRecall-MoverScore
       type: qa_aligned_recall_moverscore
       value: 62.89
-    - name: QAAlignedPrecision (MoverScore)
+    - name: QAAlignedPrecision-MoverScore
       type: qa_aligned_precision_moverscore
       value: 64.77
 ---