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Firstly great tutorial . The multiclass model tutorial really helped me in understanding how to leverage BERT . I have my model saved as shown post training. However when i am loading on another machine i see drop in accuracy . At the same time, it does not always work .
Could you guide with a proper code snippet to load the models .
I do have the ability to define the class in the new environment so that is not an issue
The text was updated successfully, but these errors were encountered:
Hi @DebayanChakraborty , thank you for the feedback and using the tutorials.
What is change in performance? If its marginal, then that is pausible due to different seed values for various packages. The performance should not be changing drastically. In cases where its not working, do you have any error log that you can share?
In terms of how to load the models, you can check how i have used the models in my other project. Project Insight.
Have a look at any of the backend services code in the src_fastapi directory. I am leveraging the models trained with these notebooks in that project and have not faced any issues yet. So keen to see what error you are facing.
Hi ,
Firstly great tutorial . The multiclass model tutorial really helped me in understanding how to leverage BERT . I have my model saved as shown post training. However when i am loading on another machine i see drop in accuracy . At the same time, it does not always work .
Could you guide with a proper code snippet to load the models .
I do have the ability to define the class in the new environment so that is not an issue
The text was updated successfully, but these errors were encountered: