validation loss flattening doesn't necessary mean overfitting. It is only fitting when it starts to increase. Yes, I experienced instances where early stopping (or early drop of learning rate) lead to less optimal solution. Though, basically every solution will be a local minimum, so you shouldn't worry about that as much.

LMAO, I literally burst out laughing. Such a condescending reply but hilarious AF

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