NlpFixedParameters Class
Definition
Important
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Fixed training parameters that won't be swept over during AutoML NLP training.
public class NlpFixedParameterstype NlpFixedParameters = classPublic Class NlpFixedParameters- Inheritance
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NlpFixedParameters
Constructors
| NlpFixedParameters() |
Initializes a new instance of NlpFixedParameters. |
Properties
| GradientAccumulationSteps |
Number of steps to accumulate gradients over before running a backward pass. |
| LearningRate |
The learning rate for the training procedure. |
| LearningRateScheduler |
The type of learning rate schedule to use during the training procedure. |
| ModelName |
The name of the model to train. |
| NumberOfEpochs |
Number of training epochs. |
| TrainingBatchSize |
The batch size for the training procedure. |
| ValidationBatchSize |
The batch size to be used during evaluation. |
| WarmupRatio |
The warmup ratio, used alongside LrSchedulerType. |
| WeightDecay |
The weight decay for the training procedure. |
