Is 100 Training Examples Sufficient For Training Custom Ner Using Spacy?

I have trained NER model for names data. I generated some random sentences which contain names of the person. I generated some 70 sentences and annotated the data in spacy's format

Solution 1:

for a better result, you will need to generate more examples, 70 examples is not Ok to train your model although it may work on a non-sophisticated problem. I would suggest to triple your generated examples for a good fit