add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.8001787025118497, "QAAlignedF1Score (MoverScore)": 0.5399337820733731, "QAAlignedRecall (BERTScore)": 0.812320688466097, "QAAlignedPrecision (BERTScore)": 0.7891379324540309, "QAAlignedRecall (MoverScore)": 0.5427046152241427, "QAAlignedPrecision (MoverScore)": 0.537701100527795}, "validation": {"QAAlignedF1Score (BERTScore)": 0.7968514576823058, "QAAlignedF1Score (MoverScore)": 0.5367417390383296, "QAAlignedRecall (BERTScore)": 0.8279070731753848, "QAAlignedPrecision (BERTScore)": 0.7688479039115325, "QAAlignedRecall (MoverScore)": 0.551513774610949, "QAAlignedPrecision (MoverScore)": 0.5235551868389352}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8001787025118497, "QAAlignedF1Score (MoverScore)": 0.5399337820733731, "QAAlignedRecall (BERTScore)": 0.812320688466097, "QAAlignedPrecision (BERTScore)": 0.7891379324540309, "QAAlignedRecall (MoverScore)": 0.5427046152241427, "QAAlignedPrecision (MoverScore)": 0.537701100527795, "Bleu_1": 0.15621063716437844, "Bleu_2": 0.07613188361114524, "Bleu_3": 0.024766881574893193, "Bleu_4": 0.010250150358547015, "METEOR": 0.20355575022844244, "ROUGE_L": 0.17066469991560806, "BERTScore": 0.727706918485054, "MoverScore": 0.5270594039501277}, "validation": {"QAAlignedF1Score (BERTScore)": 0.7968514576823058, "QAAlignedF1Score (MoverScore)": 0.5367417390383296, "QAAlignedRecall (BERTScore)": 0.8279070731753848, "QAAlignedPrecision (BERTScore)": 0.7688479039115325, "QAAlignedRecall (MoverScore)": 0.551513774610949, "QAAlignedPrecision (MoverScore)": 0.5235551868389352, "Bleu_1": 0.0759034078500757, "Bleu_2": 0.03099418460883636, "Bleu_3": 0.009347057680829827, "Bleu_4": 0.0034820305759143107, "METEOR": 0.16641988728876314, "ROUGE_L": 0.11160392584212113, "BERTScore": 0.6684234662834545, "MoverScore": 0.5096816613132261}}