python3 train_syncnet_sam.py

[einsqing]

Step 3355 | out_of_sync_distance: 0.50673163 | Loss: 0.56647605 | Elapsed: 0.77767 Step 3356 | out_of_sync_distance: 0.50098807 | Loss: 0.56791657 | Elapsed: 0.76504 Step 3357 | out_of_sync_distance: 0.50698453 | Loss: 0.56805406 | Elapsed: 0.72830 Step 3358 | out_of_sync_distance: 0.53348744 | Loss: 0.56974050 | Elapsed: 0.77868 Step 3359 | out_of_sync_distance: 0.48923862 | Loss: 0.56817545 | Elapsed: 0.75280

The expert discriminator's eval loss should go down to ~0.25 and the Wav2Lip eval sync loss should go down to ~0.2 to get good results.

Does the first step of loss also need to be trained to 0.25？Step 2 to 0.2？