add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.881801862010921, "QAAlignedF1Score (MoverScore)": 0.8553001440280206, "QAAlignedRecall (BERTScore)": 0.8814580695491446, "QAAlignedPrecision (BERTScore)": 0.88217109361023, "QAAlignedRecall (MoverScore)": 0.8545842536526275, "QAAlignedPrecision (MoverScore)": 0.8561708434049891}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8848778224650102, "QAAlignedF1Score (MoverScore)": 0.899919608390663, "QAAlignedRecall (BERTScore)": 0.8821105378232104, "QAAlignedPrecision (BERTScore)": 0.8877868850571079, "QAAlignedRecall (MoverScore)": 0.8954324206322872, "QAAlignedPrecision (MoverScore)": 0.904998496210224}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.881801862010921, "QAAlignedF1Score (MoverScore)": 0.8553001440280206, "QAAlignedRecall (BERTScore)": 0.8814580695491446, "QAAlignedPrecision (BERTScore)": 0.88217109361023, "QAAlignedRecall (MoverScore)": 0.8545842536526275, "QAAlignedPrecision (MoverScore)": 0.8561708434049891, "Bleu_1": 0.42941434002747214, "Bleu_2": 0.3143817509135067, "Bleu_3": 0.19380420392734718, "Bleu_4": 0.11253687303670791, "METEOR": 0.39025052132501153, "ROUGE_L": 0.47902131365522643, "BERTScore": 0.8788478452039699, "MoverScore": 0.8484678763811457}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8848778224650102, "QAAlignedF1Score (MoverScore)": 0.899919608390663, "QAAlignedRecall (BERTScore)": 0.8821105378232104, "QAAlignedPrecision (BERTScore)": 0.8877868850571079, "QAAlignedRecall (MoverScore)": 0.8954324206322872, "QAAlignedPrecision (MoverScore)": 0.904998496210224, "Bleu_1": 0.4732005393154842, "Bleu_2": 0.38527449658507296, "Bleu_3": 0.3138481003509477, "Bleu_4": 0.25099909955248606, "METEOR": 0.3949485063255633, "ROUGE_L": 0.49456574548445204, "BERTScore": 0.8549290210629503, "MoverScore": 0.7926618130941732}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 2444580125
+oid sha256:3e17fbf152dfa5707ecd9934250ec13f742dc71e6fa2437598f3ba5ecd4c34ec
+size 2444576505