Open yongliu20 opened 4 years ago
@workforai The default parameters should be fine. Could you please post your training log here?
I'm not sure if it is this file. log.txt And does the number of gpu affect the final performance? Because I use 4 gpu to train it.
I found you reduce the batch size. Batch size is very important to the performance. Please keep the original batch size, and use 8 GPUs to train if you can.
Ok, Thanks for your help!
I found you reduce the batch size. Batch size is very important to the performance. Please keep the original batch size, and use 8 GPUs to train if you can.
@tianzhi0549 I have access to a maximum of 4 GPUs for training. Is there any way I achieve good scores?
To be on the same terms, by batch size, you mean the SOLVER.IMS_PER_BATCH
parameter right?
@Syzygianinfern0 You can still train with batch size 16. If you encounter out-of-memory, please try to reduce https://github.com/aim-uofa/AdelaiDet/blob/5cd38f24c2927975df103ee0dede3081a3d4f239/configs/CondInst/Base-CondInst.yaml#L16
@Syzygianinfern0 You can still train with batch size 16. If you encounter out-of-memory, please try to reduce
Thank you for your response. I will look into it. 😄
Hi: I follow the instructor to train CondInst with MS_R_50_1x. But the performance of it is not good. Just as the following picture. Why? And should I adjust the code or some paramaters? Thanks a lot!