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mbart-large-cc25-jaquad-qg

Text2Text Generation
Transformers
PyTorch
Japanese
mbart
question generation
Eval Results
Inference Endpoints
Model card Files Community
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@@ -61,7 +61,7 @@ All evaluations were done using our [evaluation script](https://github.com/asahi
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  | BLEU 4 | ROUGE L | METEOR | BERTScore |
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  | ------ | -------- | ------ | --------- |
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- | 32.53 | 52.66 | 30.57 | 81.77 |
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  - [metric file](https://huggingface.co/asahi417/lmqg-mbart-large-cc25-jaquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_jaquad.default.json)
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  | BLEU 4 | ROUGE L | METEOR | BERTScore |
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  | ------ | -------- | ------ | --------- |
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+ | 32.15 | 52.94 | 29.97 | 82.25 |
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  - [metric file](https://huggingface.co/asahi417/lmqg-mbart-large-cc25-jaquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_jaquad.default.json)
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