Commit effe984

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Update Hyperparameters description

Co-authored-by: Adam Wong <55506708+wong-a@users.noreply.github.com>

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`@@ -72,7 +72,7 @@ def __init__(self, state_id, estimator, job_name, data=None, hyperparameters=Non`
`72`	`72`	`hyperparameters: Parameters used for training.`
`73`	`73`	`* (dict[str, str], optional) - Hyperparameters supplied will be merged with the Hyperparameters specified in the estimator.`
`74`	`74`	`If there are duplicate entries, the value provided through this property will be used. (Default: Hyperparameters specified in the estimator.)`
`75`		`- * (Placeholder, optional) - Hyperparameters supplied will overwrite the Hyperparameters specified in the estimator.`
	`75`	`+ * (Placeholder, optional) - The TrainingStep will use the hyperparameters specified by the Placeholder's value instead of the hyperparameters specified in the estimator.`
`76`	`76`	`mini_batch_size (int): Specify this argument only when estimator is a built-in estimator of an Amazon algorithm. For other estimators, batch size should be specified in the estimator.`
`77`	`77`	`experiment_config (dict, optional): Specify the experiment config for the training. (Default: None)`
`78`	`78`	wait_for_completion (bool, optional): Boolean value set to `True` if the Task state should wait for the training job to complete before proceeding to the next step in the workflow. Set to `False` if the Task state should submit the training job and proceed to the next step. (default: True)

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