Re-Train the invoice's out of the box model from UiPath

Help AI Center
,
1

Hi all,
I ‘m trying to apply the document understanding product from UiPath on around 6 different suppliers’ invoices, using the below steps

  1. Created Data Labeling session and labeled all my train data invoices
  2. Used this dataset to retrain the out of the box model
  3. Then created ML Skill out of it to be used in the workflow
  4. then I made a validation station and validated, edited the extracted data
  5. I used the train extractor scope activity and added the Machine Learning Extractor Trainer
    Then the workflow created folder with the below content
  • Documents Folder
  • Meta Folder
    I uploaded them to a new dataset then used it for retraining the pipeline has failed with
    alternatively I added them to the same dataset which is previously generated from Data Labeling session and retrain them and the process done successfully.
    But when I tried to test it again using the invoices which was previously has extraction issues the issues still appeared …! which means the model hasn’t been enhanced using the validated data.
    How Can I fix this…?
2

Hello @Dina.abdelhakam!

It seems that you have trouble getting an answer to your question in the first 24 hours.
Let us give you a few hints and helpful links.

First, make sure you browsed through our Forum FAQ Beginner’s Guide. It will teach you what should be included in your topic.

You can check out some of our resources directly, see below:

  1. Always search first. It is the best way to quickly find your answer. Check out the image icon for that.
    Clicking the options button will let you set more specific topic search filters, i.e. only the ones with a solution.

  2. Topic that contains most common solutions with example project files can be found here.

  3. Read our official documentation where you can find a lot of information and instructions about each of our products:

  4. Watch the videos on our official YouTube channel for more visual tutorials.

  5. Meet us and our users on our Community Slack and ask your question there.

Hopefully this will let you easily find the solution/information you need. Once you have it, we would be happy if you could share your findings here and mark it as a solution. This will help other users find it in the future.

Thank you for helping us build our UiPath Community!

Cheers from your friendly
Forum_Staff