diff --git a/train.py b/train.py
index ca6090c5..27074389 100644
--- a/train.py
+++ b/train.py
@@ -65,7 +65,7 @@ def main(opt):
         #         p.requires_grad = False
 
         # Set optimizer
-        # optimizer = torch.optim.SGD(model.parameters(), lr=.001, momentum=.9, weight_decay=0.0005 * 0, nesterov=True)
+        # optimizer = torch.optim.SGD(model.parameters(), lr=.001, momentum=.9, weight_decay=5e-4, nesterov=True)
         # optimizer = torch.optim.Adam(filter(lambda p: p.requires_grad, model.parameters()))
         optimizer = torch.optim.Adam(model.parameters())
         optimizer.load_state_dict(checkpoint['optimizer'])
diff --git a/utils/utils.py b/utils/utils.py
index 249a855f..17b8f9bd 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -368,10 +368,10 @@ def plotResults():
     plt.figure(figsize=(16, 8))
     s = ['X', 'Y', 'Width', 'Height', 'Objectness', 'Classification', 'Total Loss', 'Precision', 'Recall']
     for f in ('/Users/glennjocher/Downloads/results.txt',
-              '/Users/glennjocher/Downloads/resultsBCE2.txt'):
+              '/Users/glennjocher/Downloads/resultsBCE.txt'):
         results = np.loadtxt(f, usecols=[2, 3, 4, 5, 6, 7, 8, 9, 10]).T
         for i in range(9):
             plt.subplot(2, 5, i + 1)
             plt.plot(results[i, :], marker='.', label=f)
             plt.title(s[i])
-        plt.legend(cocococosadfc)
+        plt.legend()