add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.8716389786998847, "QAAlignedF1Score (MoverScore)": 0.6308136328891667, "QAAlignedRecall (BERTScore)": 0.8715950043633907, "QAAlignedPrecision (BERTScore)": 0.8717014384777142, "QAAlignedRecall (MoverScore)": 0.630617968288573, "QAAlignedPrecision (MoverScore)": 0.6310307133348039}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8681866372412864, "QAAlignedF1Score (MoverScore)": 0.6260445842156863, "QAAlignedRecall (BERTScore)": 0.8673330540600673, "QAAlignedPrecision (BERTScore)": 0.8691482164630405, "QAAlignedRecall (MoverScore)": 0.6245265766925485, "QAAlignedPrecision (MoverScore)": 0.6276923352765994}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8716389786998847, "QAAlignedF1Score (MoverScore)": 0.6308136328891667, "QAAlignedRecall (BERTScore)": 0.8715950043633907, "QAAlignedPrecision (BERTScore)": 0.8717014384777142, "QAAlignedRecall (MoverScore)": 0.630617968288573, "QAAlignedPrecision (MoverScore)": 0.6310307133348039, "Bleu_1": 0.01201043040189748, "Bleu_2": 0.001205283516840639, "Bleu_3": 9.763812773923145e-09, "Bleu_4": 2.8222790054216318e-11, "METEOR": 0.3790041644379071, "ROUGE_L": 0.02331730228615615, "BERTScore": 0.8284567878383104, "MoverScore": 0.589105018264111}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8681866372412864, "QAAlignedF1Score (MoverScore)": 0.6260445842156863, "QAAlignedRecall (BERTScore)": 0.8673330540600673, "QAAlignedPrecision (BERTScore)": 0.8691482164630405, "QAAlignedRecall (MoverScore)": 0.6245265766925485, "QAAlignedPrecision (MoverScore)": 0.6276923352765994, "Bleu_1": 0.028046934464684804, "Bleu_2": 0.007261298928470141, "Bleu_3": 5.6238488710501997e-08, "Bleu_4": 1.5781094673694292e-10, "METEOR": 0.37460306439308894, "ROUGE_L": 0.054464757683262095, "BERTScore": 0.809290764133552, "MoverScore": 0.583311934975159}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 2444580125
+oid sha256:ce4fbd9ecc0a7c7390901355143187556b65ecda9ed2f9154a19e40441ac87b6
+size 2444576505