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KoT5-summarization

Summarization
Transformers
PyTorch
Safetensors
Korean
t5
text2text-generation
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -8,9 +8,10 @@ license: apache-2.0
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  |dataset|model|sampling|gen. length (avg.)|ROUGE-1 (↑)|ROUGE-2 (↑)|ROUGE-L (↑)|
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  |:---:|:---:|:---:|:---:|:---:|:---:|:---:|
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- |[AI-HUB λ„μ„œμžλ£Œ μš”μ•½](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=93)|ours|greedy|-|-|-|-|
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- |[AI-HUB λ„μ„œμžλ£Œ μš”μ•½](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=93)|gogamza/kobart-summarization|greedy|-|-|-|-|
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  More Information of KoT5 -> https://github.com/wisenut-research/KoT5
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  |dataset|model|sampling|gen. length (avg.)|ROUGE-1 (↑)|ROUGE-2 (↑)|ROUGE-L (↑)|
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  |:---:|:---:|:---:|:---:|:---:|:---:|:---:|
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  |-|-|-|-|-|-|-|
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+ |[AI-HUB λ„μ„œμžλ£Œ μš”μ•½](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=93)|ours|greedy|50.20|17.51|5.64|17.31|
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+ |[AI-HUB λ„μ„œμžλ£Œ μš”μ•½](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=93)|gogamza/kobart-summarization|greedy|256.0|16.85|5.31|16.62|
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+ * 각 λ°μ΄ν„°μ…‹μ˜ test ν˜Ήμ€ validation λ°μ΄ν„°μ…‹μœΌλ‘œ ν‰κ°€ν•œ 결과이며, "10 epoch ν•™μŠ΅ ν›„ 평가"λ₯Ό 5회 λ°˜λ³΅ν•˜μ—¬ λ‚˜μ˜¨ 점수λ₯Ό ν‰κ· ν•œ κ°’μž…λ‹ˆλ‹€.
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+ * **greedy** λŠ” μ΅œλŒ€κΈΈμ΄ μ œν•œ(max_length=256)을 μ œμ™Έν•œ μ–΄λ– ν•œ μ œμ•½(e.g. repetition penalty) 없이 λ‹¨μˆœ μƒ˜ν”Œλ§ν•œ 방법을 μ˜λ―Έν•©λ‹ˆλ‹€.
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  More Information of KoT5 -> https://github.com/wisenut-research/KoT5
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