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mbart-large-cc25-dequad-qg

Text2Text Generation
Transformers
PyTorch
German
mbart
question generation
Eval Results
Inference Endpoints
Model card Files Community
1
asahi417 commited on
Commit
f163cdb
·
1 Parent(s): 3415fa3

add model

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Files changed (4) hide show
  1. eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.json +1 -1
  2. eval/samples.test.hyp.paragraph.questions_answers.lmqg_qg_dequad.default.txt +0 -0
  3. eval/samples.validation.hyp.paragraph.questions_answers.lmqg_qg_dequad.default.txt +0 -0
  4. pytorch_model.bin +2 -2
eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.json CHANGED
@@ -1 +1 @@
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- {"test": {"QAAlignedF1Score (BERTScore)": 0.9066477391043336, "QAAlignedF1Score (MoverScore)": 0.6536478843684115, "QAAlignedRecall (BERTScore)": 0.9069459189288905, "QAAlignedPrecision (BERTScore)": 0.9063943602652309, "QAAlignedRecall (MoverScore)": 0.6536097581925374, "QAAlignedPrecision (MoverScore)": 0.6536933602191242}, "validation": {"QAAlignedF1Score (BERTScore)": 0.9203702762090497, "QAAlignedF1Score (MoverScore)": 0.6700558416669398, "QAAlignedRecall (BERTScore)": 0.9203833594945173, "QAAlignedPrecision (BERTScore)": 0.9203615194326225, "QAAlignedRecall (MoverScore)": 0.6700118050584851, "QAAlignedPrecision (MoverScore)": 0.6701051540264178}}
 
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+ {"test": {"QAAlignedF1Score (BERTScore)": 0.9066477391043336, "QAAlignedF1Score (MoverScore)": 0.6536478843684115, "QAAlignedRecall (BERTScore)": 0.9069459189288905, "QAAlignedPrecision (BERTScore)": 0.9063943602652309, "QAAlignedRecall (MoverScore)": 0.6536097581925374, "QAAlignedPrecision (MoverScore)": 0.6536933602191242, "Bleu_1": 0.14892255848954136, "Bleu_2": 0.06688946563431233, "Bleu_3": 0.006429586344981312, "Bleu_4": 0.0009058029531085899, "METEOR": 0.19956079512774588, "ROUGE_L": 0.16184723072058863, "BERTScore": 0.7439793988999435, "MoverScore": 0.5295231467878494}, "validation": {"QAAlignedF1Score (BERTScore)": 0.9203702762090497, "QAAlignedF1Score (MoverScore)": 0.6700558416669398, "QAAlignedRecall (BERTScore)": 0.9203833594945173, "QAAlignedPrecision (BERTScore)": 0.9203615194326225, "QAAlignedRecall (MoverScore)": 0.6700118050584851, "QAAlignedPrecision (MoverScore)": 0.6701051540264178, "Bleu_1": 0.06200431939282476, "Bleu_2": 0.02181991278007738, "Bleu_3": 0.0021821303757949577, "Bleu_4": 0.00033379372598296177, "METEOR": 0.1535610518224005, "ROUGE_L": 0.09610146913071652, "BERTScore": 0.6750384440549667, "MoverScore": 0.5105195991839409}}
eval/samples.test.hyp.paragraph.questions_answers.lmqg_qg_dequad.default.txt CHANGED
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eval/samples.validation.hyp.paragraph.questions_answers.lmqg_qg_dequad.default.txt CHANGED
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pytorch_model.bin CHANGED
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