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Hello, authors! I have a doubt about how long it takes to converge your model. Your manuscript mentions that "The proposed MBLLEN can be quickly converged after being trained for 5000 mini-batches". However, your train.py sets 200 epochs with 200 batches for each epoch. Therefore, the total mini-batches should be 40,000 instead of 5,000. Hope you can clarify it. Thanks!
The text was updated successfully, but these errors were encountered:
hello did u solve the problem? I wonder if I change the batchsize 16 to 8, and step_epoch 200 to 400 ,because my gpu memory is not enough, dose it have influence to final results?
Hello, authors! I have a doubt about how long it takes to converge your model. Your manuscript mentions that "The proposed MBLLEN can be quickly converged after being trained for 5000 mini-batches". However, your train.py sets 200 epochs with 200 batches for each epoch. Therefore, the total mini-batches should be 40,000 instead of 5,000. Hope you can clarify it. Thanks!
The text was updated successfully, but these errors were encountered: