[Python] How dataset.repeat() works with model.fit()?

I have a dataset of 1061 samples, and I am using the following:

epochs = 50

batch_size=20

dataset = dataset.repeat(epochs).batch(batch_size)


Now if I use :

model.fit(dataset , epochs = epochs , batch_size = batch_size)


What will be the number of samples that will be input to the model in one epoch of training ? Is it 1061 ? Or 1061 * 50 = 53050 samples ?

I searched for how does the dataset.repeat() works , but I am still confused about how it works with model.fit() specifically.

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