add model

eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_squad.default.lmqg_bart-large-squad-ae.json

@@ -1 +1 @@
-{"test": {"QAAlignedF1Score (BERTScore)": 0.9323171283620265, "QAAlignedRecall (BERTScore)": 0.9334991951241797, "QAAlignedPrecision (BERTScore)": 0.9312872661147908, "QAAlignedF1Score (MoverScore)": 0.6476025113384508, "QAAlignedRecall (MoverScore)": 0.646323866711288, "QAAlignedPrecision (MoverScore)": 0.6498383386063171}, "validation": {"QAAlignedF1Score (BERTScore)": 0.931745459474665, "QAAlignedRecall (BERTScore)": 0.9330705600591529, "QAAlignedPrecision (BERTScore)": 0.9305300099088208, "QAAlignedF1Score (MoverScore)": 0.6484518084803859, "QAAlignedRecall (MoverScore)": 0.6473484139876854, "QAAlignedPrecision (MoverScore)": 0.6502214370953862}}
+{"test": {"QAAlignedF1Score (BERTScore)": 0.9323171283620265, "QAAlignedRecall (BERTScore)": 0.9334991951241797, "QAAlignedPrecision (BERTScore)": 0.9312872661147908, "QAAlignedF1Score (MoverScore)": 0.6476025113384508, "QAAlignedRecall (MoverScore)": 0.646323866711288, "QAAlignedPrecision (MoverScore)": 0.6498383386063171, "Bleu_1": 0.2603969510827506, "Bleu_2": 0.14509243755745038, "Bleu_3": 0.0713057377059318, "Bleu_4": 0.03945570961334768, "METEOR": 0.25639873311526945, "ROUGE_L": 0.25630947169478047, "BERTScore": 0.9091423141362491, "MoverScore": 0.6197885625113109}, "validation": {"QAAlignedF1Score (BERTScore)": 0.931745459474665, "QAAlignedRecall (BERTScore)": 0.9330705600591529, "QAAlignedPrecision (BERTScore)": 0.9305300099088208, "QAAlignedF1Score (MoverScore)": 0.6484518084803859, "QAAlignedRecall (MoverScore)": 0.6473484139876854, "QAAlignedPrecision (MoverScore)": 0.6502214370953862, "Bleu_1": 0.30159960436799277, "Bleu_2": 0.17498630602047505, "Bleu_3": 0.09119212721624417, "Bleu_4": 0.05184030226016976, "METEOR": 0.27840837205917174, "ROUGE_L": 0.2782362691045724, "BERTScore": 0.9098283886967158, "MoverScore": 0.6273422012321567}}