Amazon Titan Multimodal Embeddings G1 customization hyperparameters

The Amazon Titan Multimodal Embeddings G1 model supports 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.

Note

epochCount has no default value and must be specified. epochCount supports the value Auto. Auto prioritizes model performance over training cost by automatically determining a number based on the size of your dataset. Training job costs depend on the number that Auto determines. To understand how job cost is calculated and to see examples, see Amazon Bedrock Pricing.

Hyperparameter (console)	Hyperparameter (API)	Definition	Type	Minimum	Maximum	Default
Epochs	epochCount	The number of iterations through the entire training dataset	integer	1	100	N/A
Batch size	batchSize	The number of samples processed before updating model parameters	integer	256	9,216	576
Learning rate	learningRate	The rate at which model parameters are updated after each batch	float	5.00E-8	1	5.00E-5