I have two models both run using the same parameters (Epoch=50, Batch size=16) If I compare both models one seem to run for 965 steps, and the other runs for 395. I would expect them both to run similar steps. Any idea why would this be the case. I have attached a copy of the graph?
Is the model clever enough to stop as training value isn’t changing any more?
The runtime difference might come from:
- different datasets and thus a different number of samples
- different print logic in your code
- different training (including early stopping)
- …
Without seeing code I can just speculate. 
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@ptrblck Many Thanks once more for your help. The points you mentioned help to pin point the issue. Thanks a lot.