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training config used for training stt_en_quartznet15x5 #9140
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I see - thanks @nithinraok |
This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days. |
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This is not a feature request per se. It's more about seeking help :-)
Right now I am trying the
stt_en_quartznet15x5
in nemo and I can load it and run inference without any issues. I can also see the model config which includes the layers, post and preprocessing parts without any issue.Now, I am trying to train such a model from scratch. I used the default config that comes with the nemo repo like the ones located here. However, this won't produce a model with a performance on par with the model that ships with nemo(
stt_en_quartznet15x5
).While I can see and find the model configs located here, I was wondering if there is a way to see the actual config used by NVIDIA to train the aforementioned model. Things like training configs, batches, epochs, learning rate, etc. that might have been changed in the updated config.
Thank you.
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