I don’t know what you expect. The results say that the trained model got almost nothing right:
The best result is only scoring 0.09379 mAP_0.5/0.95on your 30 epocs.
You must have some issues with the quality of the training data, or the classes you are trying to predict are hard for the AI.
When i train my model for 6 classes (different cats) these are my results after 29 epocs:
Have you read all the recommended settings, data preparation guides and so on here:
I still thing something is wrong with the dataset, bad data in = bad data out. If you have complex pictures you could probably benefit from trying the Yolov5m or even Yolov5l models. The training is slower but you should give better results.
Also before you begin with another training, have you tried any of the example custom models available to verify that your deepstack detection setup are actually running propperly?
Here are some example models: