deeper cnn

model.py

@@ -121,12 +121,13 @@ class CNN1D(torch.nn.Module):
         super(CNN1D, self).__init__()
         self.model = torch.nn.Sequential(
             *conv_block(num_inputs, 5, 0.01),
-            *conv_block(32, 6, 0.01)
+            *conv_block(32, 6, 0.1),
+            *conv_block(64,7,0.01)
         )
         self.avg_pool = torch.nn.AdaptiveAvgPool1d(1)
 
         self.fc = nn.Sequential(
-            nn.Linear(64, 32),
+            nn.Linear(128, 32),
             nn.ReLU(),
             nn.Linear(32,cfg["Dataset"]["num_days"])
         )