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Why the model does not go training? #10
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I am getting the same result - all metrics are 0. @avis-ma Did you solve this? EDIT: This bug, if it is indeed a bug - would be great if the authors confirmed this, might have come from line 129 in file dataset/base.py:
From the comment of the authors, this line is supposed to normalize the output of the This all-zero The fix is simple: comment out line 129 in file dataset/base.py. After doing so I got something like this:
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Thanks @ngmq , the data scale really matters. However, the training process still cannot converge. After 2 training epochs, the loss hovers around some value, say 0.20, and the predicted two masks are also similar. Did you encounter this problem before? |
@zjsong That did not happen to me, my training went fine. Maybe checking the input data would help? |
@ngmq Thanks for your reply. I just found if the training process takes enough steps forward (e.g., >25 epochs), it would show promising results accordingly. |
Hello, I am a Chinese student.
I have pre-processed the dataset, and use the train_MUSIC.sh to train the default model.
But the result is not what I supposed. The metrics is all 0.
Even I directly use the eval_MUSIC.sh (I have downloaded the trained model), I also get the 0 metics(SDR ,SIR, .etc).
I don't change the code that you submit in github.
So how can I find what the problem is?
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