899 B
899 B
Pto SGD
Instantiates the SGD optimizer.
Parameters
model (PTMODEL): The PyTorch model whose parameters will be optimized.
learning_rate (float): The learning rate for the AdamW optimizer.
momentum (float): Coefficient to apply to the past gradient to adjust the contribution of past gradients
dampening (float): Coefficient to adjust the contribution of current gradient.
weight_decay (float): The weight decay parameter.
nesterov (bool): If True, uses the Nesterov version.
Input
| Name | Data type |
|---|---|
| model | Ptmodel |
| learning_rate | Float |
| momentum | Float |
| dampening | Float |
| weight_decay | Float |
| nesterov | Boolean |
Output
| Data type |
|---|
| Ptoptimizer |
Category: PyTorch wrapper - Optimizer
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