All my models are still blocked, right now they have been blocked for two days!!, they are in "Training" or "Retraining" status
If I create a new one, it also stays in "Training" state, it never ends.
I can not do anything?
I can't stop them?
I can't delete them?
One Model id: 3d6048a9-dd2a-4ff1-a60f-263986eeb7b6
Hey,
has this problem resolved for everyone or just the user starting this thread? As for me I still have a model training since 5 days ago, literally just renamed two of the fields. Now I am concerned about starting other trainings for other AIs.
Seems that have modified the framework and now the models can be deleted, I have already deleted them.
They have been this bad for 6 months!!!!
Hi Potollon,
First of all, sorry for this incovenience.
Here are a couple of actions you could take to solve the problem
1. If you are using an unstructured document processing with a large amount of collections, the training could be so long that it would timeout which could explain you issue. In this case, consider merging collections together.
a. Provide 2-3 samples per layout/vendor
b. Build collections with up to 50 of above samples regrouping documents which have similar field positioning or terms (synonyms)
c. Train an initial model with 10-20 collections and test new documents to be extracted before adding a new layout or collection. Only add the document if not properly extracted by the model. Indeed, the unstructured model is able to generalize to unknow layouts from what was learned
2. If above doesn't help, open of support message which will ensure you get proper SLA solving your problem.
Thank you
After ONE MONTH, all the models continue training, during all this time.
No error, no warning.
It's unacceptable
I am also facing the same issue, models are training from last 2 days.
After 10 days, all the models are still training, during all this time....
Hi @potollon ,
Thank you for contacting us. I'm sorry to hear that. Are you still encountering a training failure?
After 5 days, all the models are still training, during all this time.
Something is wrong with this platform...
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