Comments (3)
Looks like I can't reproduce this. Are you sure the models are identical? (You can check this e.g. via the model_arch.json)
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Ah, I have an idea what happened:
With version 0.2.0 I did this scan of the activation functions:
ORCA4_graph_activation.pdf
My conclusion: sigmoid actually performs best (lol). But due to the bug you fixed recently for version 0.2.2 the activation function was never changed and is indeed "relu" for every case in the plot as can be seen in the json files.
Then, with the new version the sigmoid is actually taken into account and seems to give worse results. By choosing relu again I should end up with the same performance again. I am verifying this at the moment. Also I should repeat the scan through the activation functions^^
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Yeah ok, it was like that. In that case everything ok :)
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