add model

eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.json

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.799873268285167, "QAAlignedF1Score (MoverScore)": 0.5388739369566669, "QAAlignedRecall (BERTScore)": 0.812945931926931, "QAAlignedPrecision (BERTScore)": 0.7878875412489514, "QAAlignedRecall (MoverScore)": 0.5426169060178441, "QAAlignedPrecision (MoverScore)": 0.535616846379365}, "validation": {"QAAlignedF1Score (BERTScore)": 0.7973136740273447, "QAAlignedF1Score (MoverScore)": 0.5363371417443362, "QAAlignedRecall (BERTScore)": 0.8291230037411323, "QAAlignedPrecision (BERTScore)": 0.7686876376237144, "QAAlignedRecall (MoverScore)": 0.5515654329108862, "QAAlignedPrecision (MoverScore)": 0.5227534283880649}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8001787025118497, "QAAlignedF1Score (MoverScore)": 0.5399337820733731, "QAAlignedRecall (BERTScore)": 0.812320688466097, "QAAlignedPrecision (BERTScore)": 0.7891379324540309, "QAAlignedRecall (MoverScore)": 0.5427046152241427, "QAAlignedPrecision (MoverScore)": 0.537701100527795}, "validation": {"QAAlignedF1Score (BERTScore)": 0.7968514576823058, "QAAlignedF1Score (MoverScore)": 0.5367417390383296, "QAAlignedRecall (BERTScore)": 0.8279070731753848, "QAAlignedPrecision (BERTScore)": 0.7688479039115325, "QAAlignedRecall (MoverScore)": 0.551513774610949, "QAAlignedPrecision (MoverScore)": 0.5235551868389352}}