Metrics values are equal while training and testing a model
This may happen by different reasons:


You're model learned to fast (less than one epoch). In this case, u need to increase dataset (by adding some data or augmentations)
You're loss function doesn't work correctly return zero gradients every call
You 'train' model not in train mode
You data load incorrect. Test what is input for u model