--- license: afl-3.0 --- # ๐ŸŠ ์ œ์ฃผ ๋ฐฉ์–ธ ๋ฒˆ์—ญ ๋ชจ๋ธ ๐ŸŠ - ํ‘œ์ค€์–ด -> ์ œ์ฃผ์–ด - Made by. ๊ตฌ๋ฆ„ ์ž์—ฐ์–ด์ฒ˜๋ฆฌ ๊ณผ์ • 3๊ธฐ 3์กฐ!! - github link : https://github.com/Goormnlpteam3/JeBERT ## 1. Seq2Seq Transformer Model - encoder : BertConfig - decoder : BertConfig - Tokenizer : WordPiece Tokenizer ## 2. Dataset - Jit Dataset - AI HUB(+์•„๋ž˜์•„ ๋ฌธ์ž)_v2 ## 3. Hyper Parameters - Epoch : 10 epochs(best at 7 epoch) - Random Seed : 42 - Learning Rate : 5e-5 - Warm up Ratio : 0.1 - Batch Size : 32 ## 4. BLEU Score - Jit + AI HUB(+์•„๋ž˜์•„ ๋ฌธ์ž) Dataset : 67.6 --- ### CREDIT - ์ฃผํ˜•์ค€ : wngudwns2798@gmail.com - ๊ฐ•๊ฐ€๋žŒ : 1st9aram@gmail.com - ๊ณ ๊ด‘์—ฐ : rhfprl11@gmail.com - ๊น€์ˆ˜์—ฐ : s01090445778@gmail.com - ์ด์›๊ฒฝ : hjtwin2@gmail.com - ์กฐ์„ฑ์€ : eun102476@gmail.com