add model

eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_frquad.default.lmqg_mbart-large-cc25-frquad-ae.json

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+{"test": {"QAAlignedF1Score (BERTScore)": 0.7555000609040089, "QAAlignedRecall (BERTScore)": 0.7715939618592504, "QAAlignedPrecision (BERTScore)": 0.7403771244675089, "QAAlignedF1Score (MoverScore)": 0.5175494747479703, "QAAlignedRecall (MoverScore)": 0.5251682711138767, "QAAlignedPrecision (MoverScore)": 0.5103298031415432, "Bleu_1": 0.0777937326806762, "Bleu_2": 0.03528774682949431, "Bleu_3": 0.017441104621720802, "Bleu_4": 0.008346259186252803, "METEOR": 0.14859744556073273, "ROUGE_L": 0.12081756567264959, "BERTScore": 0.6178332281305502, "MoverScore": 0.4958421457608878}, "validation": {"QAAlignedF1Score (BERTScore)": 0.7635563197271413, "QAAlignedRecall (BERTScore)": 0.7673154700548689, "QAAlignedPrecision (BERTScore)": 0.7600556407574195, "QAAlignedF1Score (MoverScore)": 0.5244326407579188, "QAAlignedRecall (MoverScore)": 0.5252055602757009, "QAAlignedPrecision (MoverScore)": 0.523739347201248, "Bleu_1": 0.19520165826671126, "Bleu_2": 0.1101973480526543, "Bleu_3": 0.05719389077899025, "Bleu_4": 0.03641838654315645, "METEOR": 0.21091933439256216, "ROUGE_L": 0.21274156937729657, "BERTScore": 0.684410758006076, "MoverScore": 0.5178186348936413}}