add model

eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_frquad.default.lmqg_mt5-small-frquad-ae.json

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+{"test": {"QAAlignedF1Score (BERTScore)": 0.7972206173506762, "QAAlignedRecall (BERTScore)": 0.8205601955719316, "QAAlignedPrecision (BERTScore)": 0.775824208248371, "QAAlignedF1Score (MoverScore)": 0.5393914958857732, "QAAlignedRecall (MoverScore)": 0.5531718332345477, "QAAlignedPrecision (MoverScore)": 0.5269816833422619, "Bleu_1": 0.11493771349416697, "Bleu_2": 0.0560890881360324, "Bleu_3": 0.02842132188405198, "Bleu_4": 0.013956408312429277, "METEOR": 0.19292379101556847, "ROUGE_L": 0.15842156604562493, "BERTScore": 0.685378652793745, "MoverScore": 0.5106230471459371}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8032150881981696, "QAAlignedRecall (BERTScore)": 0.8050439008774, "QAAlignedPrecision (BERTScore)": 0.8019097868289461, "QAAlignedF1Score (MoverScore)": 0.545826623938519, "QAAlignedRecall (MoverScore)": 0.5445339012761863, "QAAlignedPrecision (MoverScore)": 0.5474358329527551, "Bleu_1": 0.24339343491242166, "Bleu_2": 0.14097229539183187, "Bleu_3": 0.07412110147053268, "Bleu_4": 0.04345649627555575, "METEOR": 0.22604428020644557, "ROUGE_L": 0.23971803990780294, "BERTScore": 0.7593669294534872, "MoverScore": 0.5348997014625682}}