add model

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

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.8201168576084874, "QAAlignedF1Score (MoverScore)": 0.5608719993583443, "QAAlignedRecall (BERTScore)": 0.8201168561897797, "QAAlignedPrecision (BERTScore)": 0.8201168561897797, "QAAlignedRecall (MoverScore)": 0.5608719969801507, "QAAlignedPrecision (MoverScore)": 0.5608719969801507}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8087412754700524, "QAAlignedF1Score (MoverScore)": 0.5530187497658878, "QAAlignedRecall (BERTScore)": 0.8087412741413942, "QAAlignedPrecision (BERTScore)": 0.8087412741413942, "QAAlignedRecall (MoverScore)": 0.5530188013729251, "QAAlignedPrecision (MoverScore)": 0.5530188013729251}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8201168562166311, "QAAlignedF1Score (MoverScore)": 0.5608720507831051, "QAAlignedRecall (BERTScore)": 0.8293064683621632, "QAAlignedPrecision (BERTScore)": 0.8115697991577736, "QAAlignedRecall (MoverScore)": 0.5655273951343827, "QAAlignedPrecision (MoverScore)": 0.5567033660535845}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8087412734646559, "QAAlignedF1Score (MoverScore)": 0.5530188125412347, "QAAlignedRecall (BERTScore)": 0.8362356757064154, "QAAlignedPrecision (BERTScore)": 0.7836538199083053, "QAAlignedRecall (MoverScore)": 0.5714434143838507, "QAAlignedPrecision (MoverScore)": 0.5366761673192779}}