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Update README.md
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README.md
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# ke_t5_base_aihub
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This model is a fine-tuned version of [KETI-AIR/ke-t5-base](https://huggingface.co/KETI-AIR/ke-t5-base)
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 0.0
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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# ke_t5_base_aihub
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This model is a fine-tuned version of [KETI-AIR/ke-t5-base](https://huggingface.co/KETI-AIR/ke-t5-base)
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on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 0.0
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## Model description
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KE-T5 is a pretrained-model of t5 text-to-text transfer transformers using the Korean and English corpus developed by KETI (한국전자연구원). The vocabulary used by KE-T5 consists of 64,000 sub-word tokens and was created using Google's sentencepiece. The Sentencepiece model was trained to cover 99.95% of a 30GB corpus with an approximate 7:3 mix of Korean and English.
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## Intended uses & limitations
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This is an excersize for ke-t5 summarization finetuning using pre-trained ke-t5-base
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using the data from aihub.
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## Training and evaluation data
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## Training procedure
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