微调

AI Center includes the capability of fine-tuning ML models using data that has been validated by a human using Validation Station.

As your RPA workflow processes documents using an existing ML model, some documents may require human validation using the Present Validation Station activity (available on attended bots or in the browser using Orchestrator Action Center).

在“验证站点”中生成的已验证数据可以使用“机器学习提取程序训练器”活动导出，并可用于微调 AI Center 中的 ML 模型。

我们不建议使用来自验证站点的数据从头开始训练 ML 模型（即 DocumentUnderstanding ML 包），而仅用于微调现有 ML 模型（包括开箱即用模型）。

For the detailed steps involved in fine-tuning an ML model, check the Import Documents section of the Document Manager documentation.

重要提示：

It if often wrongly assumed that the way to use Validation Station data is to retrain the previous model version iteratively, so the current batch is used to train package X.1 to obtain X.2. Then the next batch trains on X.2 to obtain X.3 and so on. This is the wrong way to use the product. Each Validation Station batch needs to be imported into the same Document Manager session as the original manually labeled data making a larger dataset, which must be used to train always on the X.0 ML Package version.