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Hi,
I'm running the code for task2 (keras_seq and task2_cakir) on the GPU using the tensorflow backend. The evtF1 score at some point comes close to zero and then finally results in a nan while the evtER is 1.
I tried to decrease the learning_rate which resulted in postponing the problem to a later epoch, but evtF1 still results in a nan.
Do you know how to tune the hyperparameters when switching from theano to tensorflow?
PS: the DR is also 1, so the model just learns to predict no class resulting in a recall of 0
EDIT: I just figured out, that the CNN model seems to work and only the RNN / CRNN models have the issue described above.
The text was updated successfully, but these errors were encountered:
Hi,
I'm running the code for task2 (keras_seq and task2_cakir) on the GPU using the tensorflow backend. The evtF1 score at some point comes close to zero and then finally results in a nan while the evtER is 1.
I tried to decrease the learning_rate which resulted in postponing the problem to a later epoch, but evtF1 still results in a nan.
Do you know how to tune the hyperparameters when switching from theano to tensorflow?
PS: the DR is also 1, so the model just learns to predict no class resulting in a recall of 0
EDIT: I just figured out, that the CNN model seems to work and only the RNN / CRNN models have the issue described above.
The text was updated successfully, but these errors were encountered: