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Thanks for an awesome repo and architecture! I am currently training on my own dataset with batch size 8 and have been playing around with lower learning rates.
While the predicted frames are decent, my metrics seem to have a high variance, indicating the training process can be made better for this data.
Do you have any suggestions on how to improve training stability and/or results, besides further decreasing the learning rate? Here are some screenshots from the tensorboard graphs.
The text was updated successfully, but these errors were encountered:
@alexlee-gk
Thanks for an awesome repo and architecture! I am currently training on my own dataset with batch size 8 and have been playing around with lower learning rates.
While the predicted frames are decent, my metrics seem to have a high variance, indicating the training process can be made better for this data.
Do you have any suggestions on how to improve training stability and/or results, besides further decreasing the learning rate? Here are some screenshots from the tensorboard graphs.
The text was updated successfully, but these errors were encountered: