Did you calculate the accuracy on the training or validation data?
How large is your data in general? If your dataset is quite small, your accuracy might be quite noisy as just a few misclassified samples might change the accuracy.
Generally speaking, if you have a good training, validation, test splitting (data from approx. same domain, not too few samples), and prevented all data leaks, you can trust your accuracy.