diff --git a/pred/dataset.py b/pred/dataset.py
index 9ed4846..409e423 100644
--- a/pred/dataset.py
+++ b/pred/dataset.py
@@ -37,6 +37,7 @@ class VideoPlayDataset(Dataset):
             ]
         else:
             self.feature_windows = [
+                ( 5 * MINUTE,  0 * MINUTE),
                 ( 15 * MINUTE,  0 * MINUTE),
                 ( 40 * MINUTE,  0 * MINUTE),
                 ( 1 * HOUR,  0 * HOUR),
diff --git a/pred/inference.py b/pred/inference.py
index 9a3d678..bf829cf 100644
--- a/pred/inference.py
+++ b/pred/inference.py
@@ -8,16 +8,16 @@ def main():
     model.load_state_dict(torch.load('./pred/checkpoints/model_20250315_0530.pt'))
     model.eval()
     # inference
-    initial = 999269
+    initial = 99906
     last = initial
-    start_time = '2025-03-15 01:03:21'
+    start_time = '2025-03-16 14:48:42'
     for i in range(1, 48):
-        hour = i / 0.5
+        hour = i / 4
         sec = hour * 3600
         time_d = np.log2(sec)
         data = [time_d, np.log2(initial+1), # time_delta, current_views
-                2.801318, 3.455128, 3.903391, 3.995577, 4.641488, 5.75131, 6.723868, 6.105322, 8.141023, 9.576701, 10.665067, # grows_feat
-                0.043993, 0.72057, 28.000902 # time_feat
+                2.456146, 3.562719, 4.106399, 1.0, 1.0, 5.634413, 6.619818, 1.0, 8.608774, 10.19127, 11.412958, # grows_feat
+                0.617153, 0.945308, 22.091431 # time_feat
         ]
         np_arr = np.array([data])
         tensor = torch.from_numpy(np_arr).to('cpu', dtype=torch.float32)