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In FAQ, you mention that hyperparameters can be tuned using all the data:
"How do I select the hyperparameters of the first stage models?
Alternatively, you can pick the best first stage models …
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Hello,
I'm hoping to confirm that the hyperparameters specified in your paper are correct. Specifically, for miniimagenet, 100k meta steps were taken during training? I ask because it seems some of…
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Out of curiosity today, I looked into hyper-parameter tuning. For this the Optuna package seems like the way to go. In my first pass, I altered some of the code that stable-baselines used for tuning i…
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Hi!
When I try to use the original hyperparameters in the paper (ngf=ndf=128), the generator won't catch up with the discriminator and its error will get stuck forever. Is the Adam algorithm missin…
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Though you haven't yet done an extensive hyperparameter search, might you give us one or two examples of hyperparameter settings you have used?
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I have some problem about rmsprop optimizer in solver.prototxt.
Does anyone know how to adjust hyperparameters(base_lr, gamma, movement, weight_decay, rms_decay) about rmsprop?
Hinton suggests rms…
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Thank you for sharing your very impressive performance and model.
I have one question for you.
I want to reproduce the same performance as you showed below, but how do I set the hyperparameter?
…
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Hello, I wonder how you set hyperparameters, such as learning rate, batch size, and the number of epochs. We just obtained a 68 score on the Crame-D dataset using the command in the readme.
python…
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I noticed the Hyperparameter Tuning portion of RiverML is marked `ToDo`. With the exception of `SuccessiveHalving`, does anyone have any libraries that are easily compatible with River? I found `SpotP…