Importance of fine tune folder

[supermanPunch (Arpan)]

Hi @anusha2 ,
Is the Document Manager being used or have you Labelled the Datasets in Document manager ?

We do have a clearance that the Export feature in Document/Data Manager is to be Scheduled for the Data from Fine tune Folder and the Previously exported data in the Document Manager to be combined into one dataset or a larger dataset and then the combined data will be placed in the export folder.
For more details Check the below Documentation where Data Manager - Scheduled Export description is available :

Document Understanding - Auto-retraining of ML Models (PREVIEW)

Dear Community, The wait is over! The ability to automatically retrain ML models with data from Validation Station in an RPA workflow is finally here! However, let us first make sure we understand what this feature is, and what it is not. There are two major phases in the lifecycle of any Machine Learning model: build phase, and maintenance phase. In the build phase you use Data Manager to prepare the training dataset and the evaluation dataset and try to get the best performance poss…

Wrapping it up, you could Check by performing the following :

1. When creating a Pipeline Select the export directory but also configure the Auto-Retraining to true as mentioned in the above document and check whether you are getting the same error.

But do note that since the Document Manager Export was not done, the new data might not be used for Training.

Let us know the results.