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Hey, I was training a new model using your training script. Without any modification on my own dataset.
Using the default parameters used in the training script
But after training for 50k steps, eventhough there is a convergence in both training and val loss. The result has too much flikering(even on training set)
Here is an image to show the motion data index 0 (exp first value) value changes each frame
Here is the training loss:
It seems the loss is still high even after 50k steps. And potential too converge more.
Whether more training is required? Or there is an issue with the data
The text was updated successfully, but these errors were encountered:
Hey, I was training a new model using your training script. Without any modification on my own dataset. Using the default parameters used in the training script But after training for 50k steps, eventhough there is a convergence in both training and val loss. The result has too much flikering(even on training set)
Here is an image to show the motion data index 0 (exp first value) value changes each frame
Here is the training loss:
It seems the loss is still high even after 50k steps. And potential too converge more. Whether more training is required? Or there is an issue with the data
Hello, Thanks for your attention. First, please ensure your data has been fully preprocessed, like filtering out the low-resolution videos and low lip-sync ones. In addition, some hyperparameters, such as the weights of different loss functions, may need to be adjusted due to different datasets. FYI.
Hey, I was training a new model using your training script. Without any modification on my own dataset.
Using the default parameters used in the training script
But after training for 50k steps, eventhough there is a convergence in both training and val loss. The result has too much flikering(even on training set)
Here is an image to show the motion data index 0 (exp first value) value changes each frame

Here is the training loss:
It seems the loss is still high even after 50k steps. And potential too converge more.
Whether more training is required? Or there is an issue with the data
The text was updated successfully, but these errors were encountered: