The range of the target values is completely different (max of 63952011999 vs. 11997) which would explain the failure in learning.
Note that the parameters of a neural network are usually initialized with “small” values using a scaled normal or uniform distribution.
To map the input value of e.g. 3999 to 63952011999 would thus require large weight values, which might take a while during the classical SGD.