Are the dimensions on name model related to the accuracy of training?

I tried a simple object training with models/model_main_tf2.py at master · tensorflow/models · GitHub using several pre-trained models and my own images, but after hours of training the learning_rate is zero and loop continues for ever.

So I wonder if the dimensions in the name of models and my images are the problem. Used ssd models:

As you can see, the models have a dimension on its name. But my images don’t have that dimensions.

So my question is: If the model has 320x320 on its name, Should the images to be used in the training, have that dimension?

Thanks