add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.7998732664846462, "QAAlignedF1Score (MoverScore)": 0.5388739368004453, "QAAlignedRecall (BERTScore)": 0.7998732684593858, "QAAlignedPrecision (BERTScore)": 0.7998732684593858, "QAAlignedRecall (MoverScore)": 0.5388739377869997, "QAAlignedPrecision (MoverScore)": 0.5388739377869997}, "validation": {"QAAlignedF1Score (BERTScore)": 0.7973136726870169, "QAAlignedF1Score (MoverScore)": 0.5363371353604584, "QAAlignedRecall (BERTScore)": 0.7973136741841301, "QAAlignedPrecision (BERTScore)": 0.7973136741841301, "QAAlignedRecall (MoverScore)": 0.5363371632719987, "QAAlignedPrecision (MoverScore)": 0.5363371632719987}}
+{"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}}