Anthropic Claude 3 model customization hyperparameters - Amazon Bedrock

Anthropic Claude 3 model customization hyperparameters

Anthropic Claude 3 models support the following hyperparameters for model customization. The number of epochs you specify increases your model customization cost by processing more tokens. Each epoch processes the entire training dataset once. For information about pricing, see Amazon Bedrock pricing.

Console Name API Name Definition Default Minimum Maximum
Epoch count epochCount The maximum number of iterations through the entire training dataset 2 1 10
Batch size batchSize Number of samples processed before updating model parameters 32 4 256
Learning rate multiplier learningRateMultiplier Multiplier that influences the learning rate at which model parameters are updated after each batch 1 0.1 2
Early stopping threshold earlyStoppingThreshold Minimum improvement in validation loss required to prevent premature termination of the training process 0.001 0 0.1
Early stopping patience earlyStoppingPatience Tolerance for stagnation in the validation loss metric before stopping the training process 2 1 10