diff --git a/train.py b/train.py
index ceabfeb3..d387839f 100644
--- a/train.py
+++ b/train.py
@@ -470,7 +470,7 @@ if __name__ == '__main__':
 
                 # Mutate
                 np.random.seed(int(time.time()))
-                s = np.random.random() * 0.15  # sigma
+                s = np.random.random() * 0.2  # sigma
                 g = [1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 1, 1, 1, 1, 1, 1, 1, 1]  # gains
                 for i, k in enumerate(hyp.keys()):
                     x = (np.random.randn() * s * g[i] + 1) ** 2.0  # plt.hist(x.ravel(), 300)
@@ -478,7 +478,7 @@ if __name__ == '__main__':
 
             # Clip to limits
             keys = ['lr0', 'iou_t', 'momentum', 'weight_decay', 'hsv_s', 'hsv_v', 'translate', 'scale', 'fl_gamma']
-            limits = [(1e-5, 1e-2), (0.00, 0.70), (0.60, 0.98), (0, 0.001), (0, .9), (0, .9), (0, .9), (0, .9), (0, 3)]
+            limits = [(1e-5, 1e-2), (0.00, 0.70), (0.60, 0.99), (0, 0.001), (0, .9), (0, .9), (0, .9), (0, .9), (0, 3)]
             for k, v in zip(keys, limits):
                 hyp[k] = np.clip(hyp[k], v[0], v[1])
 
diff --git a/utils/utils.py b/utils/utils.py
index 4a7e969a..301a852d 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -865,7 +865,7 @@ def apply_classifier(x, model, img, im0):
 
 def fitness(x):
     # Returns fitness (for use with results.txt or evolve.txt)
-    w = [0.1, 0.1, 0.6, 0.2]  # weights for [P, R, mAP, F1]@0.5 or [P, R, mAP@0.5:0.95, mAP@0.5]
+    w = [0.0, 0.0, 0.8, 0.2]  # weights for [P, R, mAP, F1]@0.5 or [P, R, mAP@0.5:0.95, mAP@0.5]
     return (x[:, :4] * w).sum(1)