Not able to train my document ai extractor model. Have been trying this for the past 2 days.
{
“name”: “projects/435734813656/locations/us/operations/13343185919240393728”,
“done”: true,
“result”: “error”,
“response”: {},
“metadata”: {
“@type”: “type.googleapis.com/google.cloud.documentai.uiv1beta3.TrainProcessorVersionMetadata”,
“commonMetadata”: {
“state”: “FAILED”,
“createTime”: “2024-10-07T06:44:19.501896Z”,
“updateTime”: “2024-10-07T06:52:24.959021Z”,
“resource”: “projects/435734813656/locations/us/processors/d5d53b3436bf86cc/processorVersions/b92c84e5f85153d9”
},
“trainingDatasetValidation”: {},
“testDatasetValidation”: {}
},
“error”: {
“code”: 13,
“message”: “Internal error encountered.”,
“details”:
}
}
Hi @Sidharth05 ,
Welcome to Google Cloud Community!
If you’re seeing an “Internal Error” in the Document AI, it could be due to things like incorrect settings, not enough resources, or issues with the service itself.
To fix this, try upgrading to the latest foundation model. Also, there’s already an existing internal discussion for this issue. With this, I suggest filing this as a Feature Request so our Engineering Team can look into it. This way, you can also see how your request is progressing, since it will be publicly available. Please note that I can’t provide any details or timelines at this moment. However, you may keep an eye on the release notes for any latest updates or new features related to Document AI.
I hope the above information is helpful.