Update train_nsf_sim_cache_sid_load_pretrain.py

train_nsf_sim_cache_sid_load_pretrain.py

@@ -694,6 +694,8 @@ def train_and_evaluate(
                     ),
                 )
             )
+            if min(Loss_Gen_Per_Epoch[Min_for_Single_epoch::1]) == Loss_Gen_Per_Epoch[-1]:
+                os.rename(f"logs/{hps.name}/weights/{hps.name}_e{epoch}_s{global_step}.pth",f"logs/{hps.name}/weights/{hps.name}_e{epoch}_s{global_step}_Best_Epoch.pth")
 
     try:
         with open("csvdb/stop.csv") as CSVStop: