Early stopping Criteria on Valid set or Training set?

I just need to know how to decide early stopping criteria do I use early stopping on Validation set or training set.

Training set is not converging but validation set still converging or Vice versa ??

Usually you stop when the training loss remains constant over the time.

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So my training loss became constant for last 4-5 epochs but my validation set still converging.I can stop it.?

Yeah you should stop it. Because validation set performance should be checked once you stopped the training.

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That doesn’t seem correct to me. You measure both validation, and training performance during the training. Ideally, you should stop once validation loss converges, i.e., doesn’t decrease for a few epochs.
Then, you measure the final performance on a test set.