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목록RoBERTa: A Robustly Optimized BERT Pretraining Approach (1)
HAZEL
![](http://i1.daumcdn.net/thumb/C150x150.fwebp.q85/?fname=https://blog.kakaocdn.net/dn/eFBpye/btrjnHN9Vw1/zg65ClVUaHr8NPmmm7txG1/img.png)
https://arxiv.org/abs/1907.11692 RoBERTa: A Robustly Optimized BERT Pretraining Approach Language model pretraining has led to significant performance gains but careful comparison between different approaches is challenging. Training is computationally expensive, often done on private datasets of different sizes, and, as we will show, hyperpar arxiv.org 논문 발표 PPT
DATA ANALYSIS/Paper
2021. 10. 29. 23:47