Datum - SageMaker Training Session
ContentsSee Also
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Datum

A single training datum containing model input and optional loss function inputs.

Contents

modelInput

The tokenized input to feed to the model.

Type: ModelInput object

Required: Yes

lossFnInputs

The tensor inputs for the loss function, keyed by name. Unsupported keys are rejected. Supported keys: target_tokens, weights, advantages, logprobs, ref_log_prob, temperature. Required keys depend on the loss function type: SFT (cross_entropy) requires target_tokens and weights; RL (ppo, cispo, importance_sampling) requires target_tokens, weights, advantages, and logprobs.

Type: String to TensorData object map

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: