yovelop

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Thanks for sharing your tests. Is this fast results or deep trained models? What settings of lr, lr decay and epochs number was used fr this tests? ESR itself as...

> for 150 epochs I believe (or 100) with Adam optimization algorithm at lr .01 with no lr decay. Thanks. So your scores, test and conclusions are only for extra-fast...

Absolutely agree that LR_decay better to be smaller than 0.007 I done many-many tests before and now use 0.002 It depends on how much epochs can you make. If less...

The same happens with 48kHz models, lite version eats more CPU: ![2024-11-20_21-18-22](https://github.com/user-attachments/assets/ae7a256d-f120-4f60-b27a-8dd185c7f1e4) ![2024-11-20_21-17-50](https://github.com/user-attachments/assets/8417792b-78af-4202-a395-61548ae623cb)

i'm not experienced enough. as i understand this C++ code measures the cpu-time in ms of running NAM model on some data samples, but i don't know how to run...