add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.906647733818443, "QAAlignedF1Score (MoverScore)": 0.653647697608496, "QAAlignedRecall (BERTScore)": 0.9066477395394856, "QAAlignedPrecision (BERTScore)": 0.9066477395394856, "QAAlignedRecall (MoverScore)": 0.6536478786377148, "QAAlignedPrecision (MoverScore)": 0.6536478786377148}, "validation": {"QAAlignedF1Score (BERTScore)": 0.9203702769756086, "QAAlignedF1Score (MoverScore)": 0.67005561892494, "QAAlignedRecall (BERTScore)": 0.9203702765495896, "QAAlignedPrecision (BERTScore)": 0.9203702765495896, "QAAlignedRecall (MoverScore)": 0.6700558047600201, "QAAlignedPrecision (MoverScore)": 0.6700558047600201}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.9066477349609093, "QAAlignedF1Score (MoverScore)": 0.6536477771195731, "QAAlignedRecall (BERTScore)": 0.9069459145254736, "QAAlignedPrecision (BERTScore)": 0.9063943563811413, "QAAlignedRecall (MoverScore)": 0.653609650062309, "QAAlignedPrecision (MoverScore)": 0.6536932538630996}, "validation": {"QAAlignedF1Score (BERTScore)": 0.9203702762731856, "QAAlignedF1Score (MoverScore)": 0.6700558719303343, "QAAlignedRecall (BERTScore)": 0.9203833595833589, "QAAlignedPrecision (BERTScore)": 0.9203615194763702, "QAAlignedRecall (MoverScore)": 0.6700118353237065, "QAAlignedPrecision (MoverScore)": 0.6701051842882272}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:899b411f459d99d830967973312ceaa52c36e1c485862ba424acc48a2ebca952
-size 2444580125
+oid sha256:c5409842c08a7289cedb7778eee97e47ed6355f9a868130e900381591e2f7925
+size 2444576505