RAI checks when training a fine-tuned model in Azure AI

Gabriela Ayala 0 Reputation points
2025-02-25T15:21:53.6566667+00:00

Hi,

Our organization has approval to modify content filters, which we can apply when deploying a model. However, when first training a fine-tuned model, the job fails because some of the training data triggers RAI checks:

status : Validation file: Preprocessing Summary: The provided data failed RAI checks for harm types: violence (70). Please fix the data and try again. Details - Samples of harmful lines per harm type: violence: Line numbers --> 

These training data points are essential to our classifier application so removing the flagged data points is not a useful option. If we already have authorization to set content filters, is there a way we can modify RAI checks when training fine-tuning jobs specifically?

Thank you for your support!

Azure AI Content Safety
Azure AI Content Safety
An Azure service that enables users to identify content that is potentially offensive, risky, or otherwise undesirable. Previously known as Azure Content Moderator.
35 questions
{count} votes

Your answer

Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem.