Hi, thanks for your sharing of the codes at first. I tried to use some new data (20,000 pics) to train the 1_F model through finetuning. I got the test output error of 0.006 during training, but I got a testing accuracy of 0.03-0.04% on five keypoints which are 0.01 more than your model. Moreover, as mentioned in other issues, I got different training loss during every new training period. So can you share some valuable experience on how to training the model ? Can I try repeated finetuning? I mean using the model generated during last finetuning to do a new finetuing. Of course the newly trained model should have a lower training loss than the previous one.
Hi, thanks for your sharing of the codes at first. I tried to use some new data (20,000 pics) to train the 1_F model through finetuning. I got the test output error of 0.006 during training, but I got a testing accuracy of 0.03-0.04% on five keypoints which are 0.01 more than your model. Moreover, as mentioned in other issues, I got different training loss during every new training period. So can you share some valuable experience on how to training the model ? Can I try repeated finetuning? I mean using the model generated during last finetuning to do a new finetuing. Of course the newly trained model should have a lower training loss than the previous one.