Help with NN model as a beginner in deep learning

Hello,

I'm not sure if this is the right sub for deep learning questions, but I thought I'd give it a try. A few friends and I are doing a hackathon like event and we are trying to train our first model. We are using a U-NET nn to predict a completed version of an object when given a partially cut off version. As we train it the loss goes down but looking at the results, the model just predicts blobs, nothing like the real object. I know that there's no one solution to our problem and we just need to keep working at it, but we're newbies to all of this, and any kind of advice would be very appreciated.