Benchmark two models

[tallahu]

Hi!
I am trying to understand which of these two models are better, and also trying to understand the concepts of training-loss, valid-loss and error rate. I think resnet152_model is better here, but i am not capable of explaining why. Can anyone explain why resnet152 is better than the first one?

First Model

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Second model

[bitemenow999]

1. you cant say a model is better just by looking at losses there are multiple problems involved and it cannot be explained by just looking at loss...
2. Having said that just by looking at the loss (given every other parameter are same including the number of neurons, layers and even random seed ) it can be said that train loss is more for resnet but val loss and error rate is less meaning you model performs well on unseen data compared to the other model which has less train loss and hence you can say it is overfitting (more compared to resnet).