Package com.oracle.bmc.generativeai.model

Class TrainingConfig

  • Direct Known Subclasses:
    LoraTrainingConfig, TFewTrainingConfig, VanillaTrainingConfig
    @Generated(value="OracleSDKGenerator",
           comments="API Version: 20231130")
public class TrainingConfig
extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
    The fine-tuning method and hyperparameters used for fine-tuning a custom model.
    Note: Objects should always be created or deserialized using the Builder. This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of the Builder, which maintain a set of all explicitly set fields called Builder#__explicitlySet__. The hashCode() and equals(Object) methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).

    • Constructor Detail

      • TrainingConfig

        @Deprecated
@ConstructorProperties({"totalTrainingEpochs","learningRate","trainingBatchSize","earlyStoppingPatience","earlyStoppingThreshold","logModelMetricsIntervalInSteps"})
protected TrainingConfig​(Integer totalTrainingEpochs,
                         Double learningRate,
                         Integer trainingBatchSize,
                         Integer earlyStoppingPatience,
                         Double earlyStoppingThreshold,
                         Integer logModelMetricsIntervalInSteps)
        Deprecated.

    • Method Detail

      • getTotalTrainingEpochs

        public Integer getTotalTrainingEpochs()
        The maximum number of training epochs to run for.
        Returns:
        the value

      • getLearningRate

        public Double getLearningRate()
        The initial learning rate to be used during training
        Returns:
        the value

      • getTrainingBatchSize

        public Integer getTrainingBatchSize()
        The batch size used during training.
        Returns:
        the value

      • getEarlyStoppingPatience

        public Integer getEarlyStoppingPatience()
        Stop training if the loss metric does not improve beyond ‘early_stopping_threshold’ for this many times of evaluation.
        Returns:
        the value

      • getEarlyStoppingThreshold

        public Double getEarlyStoppingThreshold()
        How much the loss must improve to prevent early stopping.
        Returns:
        the value

      • getLogModelMetricsIntervalInSteps

        public Integer getLogModelMetricsIntervalInSteps()
        Determines how frequently to log model metrics.

        Every step is logged for the first 20 steps and then follows this parameter for log frequency. Set to 0 to disable logging the model metrics.

        Returns:
        the value

      • toString

        public String toString()
        Overrides:
        toString in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

      • toString

        public String toString​(boolean includeByteArrayContents)
        Return a string representation of the object.
        Parameters:
        includeByteArrayContents - true to include the full contents of byte arrays
        Returns:
        string representation

      • equals

        public boolean equals​(Object o)
        Overrides:
        equals in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

      • hashCode

        public int hashCode()
        Overrides:
        hashCode in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel