# baseline ![](https://hackmd.io/_uploads/HkqcPrmza.png) ![](https://hackmd.io/_uploads/SyY-05_fT.png) # 1.將過去上次EWC 1.74.8 2.75.69 ![](https://hackmd.io/_uploads/ryvi4PfMa.png) 3.75.79 ![](https://hackmd.io/_uploads/rJpYODzG6.png) # 2. 去除EWC(更新teacher model 1.76.43 ![](https://hackmd.io/_uploads/H1-snOGGT.png) 2.77.09 ![](https://hackmd.io/_uploads/SJXVt5vzp.png) # 3. 每次都將teacher 設為上一次的student model # 4. 更新 base model,測試EWC base的效果如何 1. ![](https://hackmd.io/_uploads/rJQJOFLza.png) 2. ![](https://hackmd.io/_uploads/rJWYRH8fp.png) 3. ![](https://hackmd.io/_uploads/rkMJY_IM6.png) 4. ![](https://hackmd.io/_uploads/SJxQxtIzT.png) # 4.不將train_x越變越小 1. ![](https://hackmd.io/_uploads/rJMqBSPzT.png) 2. ![](https://hackmd.io/_uploads/rJOUVUDz6.png) 3. ![](https://hackmd.io/_uploads/BJOkxPvMp.png) 4. ![](https://hackmd.io/_uploads/r1cphDDf6.png) # 5.lambda 值測試 ## 0.001 1. ![](https://hackmd.io/_uploads/S1OAB5_zp.png) 2. ![](https://hackmd.io/_uploads/Hy436cuMa.png) 3. ![](https://hackmd.io/_uploads/HJ2ZSs_GT.png) 4. ![](https://hackmd.io/_uploads/r1E2OpOGT.png) ### 0.0001 ![](https://hackmd.io/_uploads/BkMVM0_fa.png) # mixup ## alpha = 0.2 ![](https://hackmd.io/_uploads/H1S6REYGa.png) ## 0.5 1. ![](https://hackmd.io/_uploads/HyQXV8Kza.png) 2. ![](https://hackmd.io/_uploads/SJetAUYzp.png) 3. ![](https://hackmd.io/_uploads/B1xqUdy9fa.png) 4. 5. ## 5 1. ![](https://hackmd.io/_uploads/H1839e5zT.png) 2. ![](https://hackmd.io/_uploads/rykYszcM6.png) 3. ![](https://hackmd.io/_uploads/HJ_xKX9Mp.png) 4. ![](https://hackmd.io/_uploads/HyqXjS9zT.png) 5. ![](https://hackmd.io/_uploads/H1ZWid5Ma.png) ## 1 1. ![](https://hackmd.io/_uploads/ByAVQ5qG6.png)