Pipeline creation failed -OOB Model

Help AI Center
1

HI Community,

I came across the below error while creating a training pipeline.

2023-10-04 20:30:05,008 - root:create_multiprocessing_pool:None - INFO: Creating pool with 2 processes ...
2023-10-04 20:30:05,261 - root:calculate_extraction_scores:301 - INFO: Extraction F1 Overall: 0.8720
2023-10-04 20:30:05,262 - root:generate_evaluation_metrics_from_dataset:212 - INFO: Constructing evaluation DataFrame ...
2023-10-04 20:30:05,274 - root:generate_evaluation_metrics_from_dataset:422 - INFO: Generating Excel File ...
2023-10-04 20:30:05,300 - uipath_core.training_plugin:train_model:137 - INFO: Model trained successfully with response 0.9049
2023-10-04 20:30:05,300 - uipath_core.training_plugin:save_model:161 - INFO: Start model save...
2023-10-04 20:30:05,300 - uipath_core.training_plugin:save_model:164 - INFO: Model save successful with response None
2023-10-04 20:30:05,300 - uipath_core.training_plugin:run_train_only:273 - INFO: Total time taken for trainer execution, time: 8972.827098683136
2023-10-04 20:33:08,689 - uipath_core.storage.azure_storage_client:upload:140 - ERROR: AI_Center_Issue: Failed to upload file: PipelineRun/Pipeline_1696441700622/1/KodakML.zip to bucket: training-1d34503e-6b6c-4672-9356-19f349d7da5f-train-artifactsv2, error: The specified container does not exist.
RequestId:f5e64200-e01e-0032-8f01-f7c7ec011110
Time:2023-10-04T20:33:08.6782868Z
ErrorCode:ContainerNotFound
Error:None
Content: <?xml version="1.0" encoding="utf-8"?><Error><Code>ContainerNotFound</Code><Message>The specified container does not exist.

Not sure of the reason, do I need to create a bucket storage, if yes what name should be given?
I am using UiPath Pro Trial Version, My dataset is of 180 pages with a collection of different invoices.
Any help will be apprecaited.
@ppr @Palaniyappan As a forum leader it will great to have some comments on same,

2

You got the point
The error indicates that the Azure storage container that UiPath AI Center is trying to use to upload your trained model does not exist.

To resolve this error, you need to create the Azure storage container. You can do this using the Azure portal or the Azure CLI.

Once you have created the Azure storage container, you need to update your training pipeline to use the new container name.

Then you should be able to train and deploy your model without any errors.

Note: If you are using the UiPath Pro Trial Version, you have a limited amount of Azure storage space available. Make sure that your dataset is not too large, otherwise you may run out of storage space.

Hope this clarifies

Cheers @lakshay.verma

1 Like
3

@Palaniyappan Right on spot. That’s what experience is all about.
Now stating about the size of Azure on Trial Version. What should I do to increase it? I have a large dataset of 180 Pages, however, as per guidelines I can use up to 1000 pages.
Now sure where things are getting wrong.

Second, Can I Custom-define bucket storage, I can buy azure storage. This is for a quick POC

1 Like
4

To increase the size of your Azure storage on the UiPath Pro Trial Version, you need to contact UiPath support. UiPath may be able to increase your storage limit on a case-by-case basis.

Well yes
If you are not able to increase your storage limit on the UiPath Pro Trial Version, you can use your own Azure storage account. To do this, you need to create an Azure storage account and then update your training pipeline to use your own storage account.

@lakshay.verma

1 Like
5

This topic was automatically closed 3 days after the last reply. New replies are no longer allowed.