add model
Browse files- eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-small-koquad-ae.json +1 -0
- eval_pipeline/samples.test.hyp.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-small-koquad-ae.txt +0 -0
- eval_pipeline/samples.validation.hyp.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-small-koquad-ae.txt +0 -0
- pytorch_model.bin +2 -2
eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-small-koquad-ae.json
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{"test": {"QAAlignedF1Score (BERTScore)": 0.8051856640160873, "QAAlignedRecall (BERTScore)": 0.8380077880740827, "QAAlignedPrecision (BERTScore)": 0.7756050085026733, "QAAlignedF1Score (MoverScore)": 0.8295356763858925, "QAAlignedRecall (MoverScore)": 0.8702459907786589, "QAAlignedPrecision (MoverScore)": 0.7938575539431494, "Bleu_1": 0.08159742914726335, "Bleu_2": 0.043555415060016305, "Bleu_3": 0.020711845210355337, "Bleu_4": 0.010291521564549174, "METEOR": 0.23601603442915114, "ROUGE_L": 0.12997572881009126, "BERTScore": 0.6786500538377706, "MoverScore": 0.6245260884958}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8270195012347064, "QAAlignedRecall (BERTScore)": 0.8338042555286257, "QAAlignedPrecision (BERTScore)": 0.8207682581541046, "QAAlignedF1Score (MoverScore)": 0.8711402794323722, "QAAlignedRecall (MoverScore)": 0.8737825552896148, "QAAlignedPrecision (MoverScore)": 0.8696819520075306, "Bleu_1": 0.2741035101356282, "Bleu_2": 0.17859250850701036, "Bleu_3": 0.10870040239577222, "Bleu_4": 0.06321766723069362, "METEOR": 0.28255983915021887, "ROUGE_L": 0.25379837939396416, "BERTScore": 0.7716758662213882, "MoverScore": 0.7009494635643794}}
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eval_pipeline/samples.test.hyp.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-small-koquad-ae.txt
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eval_pipeline/samples.validation.hyp.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-small-koquad-ae.txt
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pytorch_model.bin
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size 1200723013
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