Better config for training

config.json

@@ -12,7 +12,7 @@
   "text_cleaner": "english_cleaners",
 
   "epochs": 2000,
-  "lr": 0.01,
+  "lr": 0.001,
   "lr_patience": 2,
   "lr_decay": 0.5,
   "batch_size": 256,
@@ -20,6 +20,8 @@
   "power": 1.5,
   "r": 5,
 
+  "num_loader_workers": 32,
+
   "save_step": 200,
   "data_path": "/data/shared/KeithIto/LJSpeech-1.0",
   "output_path": "result",

train.py

@@ -106,7 +106,7 @@ def main(args):
 
         dataloader = DataLoader(dataset, batch_size=c.batch_size,
                                 shuffle=True, collate_fn=dataset.collate_fn,
-                                drop_last=True, num_workers=32)
+                                drop_last=True, num_workers=c.num_loader_workers)
         print("\n | > Epoch {}/{}".format(epoch, c.epochs))
         progbar = Progbar(len(dataset) / c.batch_size)