I cannot see any behavior of overfitting in your post. Overfitting means that the training loss, accuracy or whatever is higher than the validation loss, accuracy.
I cannot see your entire code in the screenshot, but an accuracy greater than 1 is obviously not possible. A perfect classifier would achieve an accuracy of 1, because then every sample would be classified correctly. Also take a look at this Wikipedia entry 1.
Maybe you can take a look online at other tutorials how the accuracy can be calculated? Or you try it yourself given the referenced Wikipedia article, where the definition is listed.