add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.8967949311859373, "QAAlignedRecall (BERTScore)": 0.8966344453858303, "QAAlignedPrecision (BERTScore)": 0.8969666327219166, "QAAlignedF1Score (MoverScore)": 0.6422108493741, "QAAlignedRecall (MoverScore)": 0.6420722200291854, "QAAlignedPrecision (MoverScore)": 0.642360851212519}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8944320211829762, "QAAlignedRecall (BERTScore)": 0.8931462281951886, "QAAlignedPrecision (BERTScore)": 0.895764592961346, "QAAlignedF1Score (MoverScore)": 0.6353661493760001, "QAAlignedRecall (MoverScore)": 0.6338332791633067, "QAAlignedPrecision (MoverScore)": 0.6369628912994133}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8967949311859373, "QAAlignedRecall (BERTScore)": 0.8966344453858303, "QAAlignedPrecision (BERTScore)": 0.8969666327219166, "QAAlignedF1Score (MoverScore)": 0.6422108493741, "QAAlignedRecall (MoverScore)": 0.6420722200291854, "QAAlignedPrecision (MoverScore)": 0.642360851212519, "Bleu_1": 0.40338212911805393, "Bleu_2": 0.27114492983330446, "Bleu_3": 0.1870639092971433, "Bleu_4": 0.13151297768728806, "METEOR": 0.3827706327624962, "ROUGE_L": 0.43339163668024916, "BERTScore": 0.8965978240949424, "MoverScore": 0.6400613023771488}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8944320211829762, "QAAlignedRecall (BERTScore)": 0.8931462281951886, "QAAlignedPrecision (BERTScore)": 0.895764592961346, "QAAlignedF1Score (MoverScore)": 0.6353661493760001, "QAAlignedRecall (MoverScore)": 0.6338332791633067, "QAAlignedPrecision (MoverScore)": 0.6369628912994133, "Bleu_1": 0.4674591023517893, "Bleu_2": 0.34701645850921986, "Bleu_3": 0.26604213327176124, "Bleu_4": 0.20899830778288345, "METEOR": 0.38819113155503865, "ROUGE_L": 0.4548014562915506, "BERTScore": 0.8766987215624839, "MoverScore": 0.6168932363365981}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 2329630901
+oid sha256:66bb34dcce786b95a2daff9f5c0ab7a37a8734d67685efb320e3ac7bbbb79c68
+size 2329628621