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When I train a DNN potential model for graphene/water interface systems, I always have one training model cannot converge, refer to below figure.
Have any suggestions for this issue? Does the training dataset is not big enough?
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Hi developers:
When I train a DNN potential model for graphene/water interface systems, I always have one training model cannot converge, refer to below figure.
Have any suggestions for this issue? Does the training dataset is not big enough?
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