Distilbert 모델 추가합니다. #42
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모델 동작까지 확인하였습니다.
다만 성능이 예상보다 많이 떨어집니다.
기존 monologg님의 distilkobert를 encoder와 decoder로 사용하였습니다.
encoder layer 3개, decoder layer 3개 로써 기존 distilbert 모델 그대로 사용하였습니다.
5에폭에 rougelsum은 12가 약간 넘는 수치였습니다.
대신 eval time이 기존 bart모델의 encoder layer 3, decoder layer 3 보다는 빨랐습니다.
https://wandb.ai/final_project/optimization/runs/z88c6i2r?workspace=user-abbymark