Package software.amazon.awssdk.services.bedrock.model

Interface RFTHyperParameters.Builder

    • Method Detail

      • epochCount

        RFTHyperParameters.Builder epochCount​(Integer epochCount)

        Number of training epochs to run during reinforcement fine-tuning. Higher values may improve performance but increase training time.

        Parameters:
        epochCount - Number of training epochs to run during reinforcement fine-tuning. Higher values may improve performance but increase training time.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • batchSize

        RFTHyperParameters.Builder batchSize​(Integer batchSize)

        Number of training samples processed in each batch during reinforcement fine-tuning (RFT) training. Larger batches may improve training stability.

        Parameters:
        batchSize - Number of training samples processed in each batch during reinforcement fine-tuning (RFT) training. Larger batches may improve training stability.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • learningRate

        RFTHyperParameters.Builder learningRate​(Float learningRate)

        Learning rate for the reinforcement fine-tuning. Controls how quickly the model adapts to reward signals.

        Parameters:
        learningRate - Learning rate for the reinforcement fine-tuning. Controls how quickly the model adapts to reward signals.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • maxPromptLength

        RFTHyperParameters.Builder maxPromptLength​(Integer maxPromptLength)

        Maximum length of input prompts during RFT training, measured in tokens. Longer prompts allow more context but increase memory usage and training-time.

        Parameters:
        maxPromptLength - Maximum length of input prompts during RFT training, measured in tokens. Longer prompts allow more context but increase memory usage and training-time.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • trainingSamplePerPrompt

        RFTHyperParameters.Builder trainingSamplePerPrompt​(Integer trainingSamplePerPrompt)

        Number of response samples generated per prompt during RFT training. More samples provide better reward signal estimation.

        Parameters:
        trainingSamplePerPrompt - Number of response samples generated per prompt during RFT training. More samples provide better reward signal estimation.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • inferenceMaxTokens

        RFTHyperParameters.Builder inferenceMaxTokens​(Integer inferenceMaxTokens)

        Maximum number of tokens the model can generate in response to each prompt during RFT training.

        Parameters:
        inferenceMaxTokens - Maximum number of tokens the model can generate in response to each prompt during RFT training.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • reasoningEffort

        RFTHyperParameters.Builder reasoningEffort​(String reasoningEffort)

        Level of reasoning effort applied during RFT training. Higher values may improve response quality but increase training time.

        Parameters:
        reasoningEffort - Level of reasoning effort applied during RFT training. Higher values may improve response quality but increase training time.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ReasoningEffort, ReasoningEffort

      • reasoningEffort

        RFTHyperParameters.Builder reasoningEffort​(ReasoningEffort reasoningEffort)

        Level of reasoning effort applied during RFT training. Higher values may improve response quality but increase training time.

        Parameters:
        reasoningEffort - Level of reasoning effort applied during RFT training. Higher values may improve response quality but increase training time.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ReasoningEffort, ReasoningEffort

      • evalInterval

        RFTHyperParameters.Builder evalInterval​(Integer evalInterval)

        Interval between evaluation runs during RFT training, measured in training steps. More frequent evaluation provides better monitoring.

        Parameters:
        evalInterval - Interval between evaluation runs during RFT training, measured in training steps. More frequent evaluation provides better monitoring.
        Returns:
        Returns a reference to this object so that method calls can be chained together.