diff --git a/discriminator.py b/discriminator.py
index 56198df..99c1002 100644
--- a/discriminator.py
+++ b/discriminator.py
@@ -31,8 +31,8 @@ class Model(nn.Module):
 
 def train(model, seq_len=16*64):
     tid = str(int(random.random()*99999)).zfill(5)
-    ltLoss = 100
-    lltLoss = 100
+    ltLoss = 50
+    lltLoss = 51
     model.train()
 
     criterion = nn.BCELoss()
@@ -57,9 +57,10 @@ def train(model, seq_len=16*64):
         ltLoss = ltLoss*0.9 + 0.1*loss.item()
         lltLoss = lltLoss*0.9 + 0.1*ltLoss
         print({ 'epoch': epoch, 'loss': loss.item(), 'ltLoss': ltLoss})
-        if ltLoss < 0.40 and lltLoss < 0.475:
-            print("[*] Hell Yeah! Poccing!")
-        torch.save(model.state_dict(), 'model_savepoints/'+tid+'_'+str(epoch)+'.n')
+        if ltLoss < 0.20 and lltLoss < 0.225:
+            print("[*] Hell Yeah! Poccing! Got sup")
+        if epoch % 8 == 0:
+            torch.save(model.state_dict(), 'model_savepoints/'+tid+'_'+str(epoch)+'.n')
 
 model = Model()