• Sean Bell's avatar
    Add exp_decay learning rate policy · e2aef3a7
    Sean Bell authored
    Summary:
    This adds an exponential learning rate schedule, parameterized by `GAMMA` which specifies the ratio between the final and initial learning rate.  This is a more natural parameterization than `A ^ t` or `exp(A * t)`.
    
    Since most jobs drop by ~3 orders of magnitude throughout training, typically `GAMMA = 1e-3` should work for many scenarios.
    
    Reviewed By: ashwinb, rbgirshick
    
    Differential Revision: D14654419
    
    fbshipit-source-id: 8dabbc8df28d32e4fd748b61bc32efaf3935d244
    e2aef3a7
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