Update train_nsf_sim_cache_sid_load_pretrain.py

train_nsf_sim_cache_sid_load_pretrain.py

@@ -290,7 +290,7 @@ def run(rank, n_gpus, hps):
             Lowest_lg = f"{min(Loss_Gen_Per_Epoch):.5f}, epoch: {right_index(Loss_Gen_Per_Epoch,min(Loss_Gen_Per_Epoch))+1}"
             Lowest_ld = f"{min(Loss_Disc_Per_Epoch):.5f}, epoch: {right_index(Loss_Disc_Per_Epoch,min(Loss_Disc_Per_Epoch))+1}"
             print(f"{hps.name}_e{epoch}_s{global_step} | Loss gen total: {Loss_Gen_Per_Epoch[-1]:.5f} | Lowest loss G: {Lowest_lg}\n Loss disc: {Loss_Disc_Per_Epoch[-1]:.5f} | Lowest loss D: {Lowest_ld}")
-            print(f"Specific Value: loss gen={loss_gen:.3f}, loss fm={loss_fm:.3f},loss mel={loss_mel:.3f}, loss kl={loss_kl:.3f}")
+            print(f"Specific Value: loss gen={loss_gen:.3f}, loss fm={loss_fm:.3f}, loss mel={loss_mel:.3f}, loss kl={loss_kl:.3f}")
             #
             if len(Loss_Gen_Per_Epoch) > Min_for_Single_epoch and epoch % hps.save_every_epoch != 0:
                 if min(Loss_Gen_Per_Epoch[Min_for_Single_epoch::1]) == Loss_Gen_Per_Epoch[-1]: