keras predicts nan values
Your input is not standardized
The learning rate is way too high, start with the Default i.e. 0.001

Other suggested changes -

Use &quot;relu&quot; in the hidden/input layer
OHE the target
If the target is multi-class, the output layer should have same number of Neurons with softmax as activation
Data points are very less, Neural Net might not be the best option