学习率如何调整？在yml文件中设置没有改变，一直都是0.0005

[gekie]

如果说是动态调整，跑了一天一夜，LR还是0.0005，没看到有变化的log

[dyning]

adam是自适应优化算法，学习率是内部调整的，上面显示的只是基础学习率。SGD+动量的修改方式可以参考如下：
（1）https://github.com/PaddlePaddle/PaddleOCR/blob/develop/ppocr/optimizer.py 这个文件中添加优化器的定义：

def PiecewiseDecay(params):
base_lr = params['base_lr']
gamma = params['gamma']
steps = params['steps']
momentum_rate = params['momentum_rate']
L2_decay_weight = params['L2_decay_weight']
bd = steps
lr = [base_lr * (0.1**i) for i in range(len(steps) + 1)]
learning_rate = fluid.layers.piecewise_decay(boundaries=bd, values=lr)
optimizer = fluid.optimizer.Momentum(
learning_rate=learning_rate,
momentum=momentum_rate,
regularization=fluid.regularizer.L2Decay(L2_decay_weight))
return optimizer

（2）然后在yml文件中修改优化器配置，
将
Optimizer:
function: ppocr.optimizer,AdamDecay
base_lr: 0.001
beta1: 0.9
beta2: 0.999
改为
Optimizer:
function: ppocr.optimizer,PiecewiseDecay
base_lr: 0.001
gamma: 0.1
steps: [300000]
momentum_rate: 0.9
L2_decay_weight: 0.0004

[yyr6661]

adam基础学习率没法调整吗？不管怎么调整log中都是0.0005

[ZhaoyangLi-nju]

parameter_list，初始化的传入的是None?