Number of Epochs based off my loss

[ishan]

I am training a detectnet model, and wanted to get a bit deeper understanding behind the loss score. My loss score at epoch 119 is 0.00040; is there any intuition you can share with the ideal loss score for a well generalized model for detectnet. I am asking, because every model on TLT describes loss differently. Should, I run for higher number of epochs like 300 or 120 is fine. My dataset currently contains around 1365 images.

Epoch 119/120: loss: 0.00040

[Morganh]

Normally, the less loss score, the higher mAP is. So, you can just focus on the mAP result.
Increasing the training epochs, normally the mAP will improve. You will also see the less loss score.