RMSprop

RMSprop is an adaptive learning rate optimizer that is very similar to Adagrad. RMSprop stores a weighted average of the squared past gradients for each parameter and uses it to scale their learning rate. This allows the learning rate to be automatically lower or higher depending on the magnitude of the gradient, and it prevents the learning rate from diminishing.

RMSprop

class bitsandbytes.optim.RMSprop

< source >

( paramslr = 0.01alpha = 0.99eps = 1e-08weight_decay = 0momentum = 0centered = Falseoptim_bits = 32args = Nonemin_8bit_size = 4096percentile_clipping = 100block_wise = True )

RMSprop8bit

class bitsandbytes.optim.RMSprop8bit

< source >

( paramslr = 0.01alpha = 0.99eps = 1e-08weight_decay = 0momentum = 0centered = Falseargs = Nonemin_8bit_size = 4096percentile_clipping = 100block_wise = True )

RMSprop32bit

class bitsandbytes.optim.RMSprop32bit

< source >

( paramslr = 0.01alpha = 0.99eps = 1e-08weight_decay = 0momentum = 0centered = Falseargs = Nonemin_8bit_size = 4096percentile_clipping = 100block_wise = True )

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Bitsandbytes

RMSprop

RMSprop

class bitsandbytes.optim.RMSprop

RMSprop8bit

class bitsandbytes.optim.RMSprop8bit

RMSprop32bit

class bitsandbytes.optim.RMSprop32bit