Amphion
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[Help]: Is there any loss that linearly correlate to performance of TTA autoencoder?
Problem Overview
(Briefly and clearly describe the issue you're facing and seeking help with.) I tried to reproduce the TTA recipe, but it seems that it is hard to assess performance through any loss.
Thanks in advance for your sicerely help!
Can you share training detail of TTA autoencoderKL? I tried to reproduce the result with the origin repo with your preprocessed mel data and training configs, but I failed to get result similar to opensource ckpt. Or is there any way determining performance of ckpts of different iter?
Hi, the detail can be found in https://github.com/open-mmlab/Amphion/blob/main/egs/tta/autoencoderkl/exp_config_latent_4_10_78.json
So the rest of the parameters are inherited from config/autoencoderkl.json, right?