diff --git a/models.py b/models.py
index 09ded1e..fa6ad20 100644
--- a/models.py
+++ b/models.py
@@ -532,9 +532,9 @@ class FouriER(torch.nn.Module):
         self.patch_embed = PatchEmbed(in_chans=channels, patch_size=self.p.patch_size, 
                                       embed_dim=self.p.embed_dim, stride=4, padding=2)
         network = []
-        layers = [2, 2, 6, 2]
-        embed_dims = [self.p.embed_dim, 320, 256, 128]
-        mlp_ratios = [4, 4, 8, 12]
+        layers = [4, 4, 12, 4]
+        embed_dims = [self.p.embed_dim, 128, 320, 128]
+        mlp_ratios = [4, 4, 4, 4]
         num_heads = [2, 4, 8, 16]
         downsamples = [True, True, True, True]
         pool_size=3
@@ -949,7 +949,7 @@ class PoolFormerBlock(nn.Module):
         self.window_size = window_size
         self.shift_size = shift_size
         self.input_resolution = input_resolution
-        self.token_mixer = WindowAttention(dim=dim, window_size=to_2tuple(self.window_size), num_heads=num_heads, attn_drop=0.1, proj_drop=0.2)
+        self.token_mixer = WindowAttention(dim=dim, window_size=to_2tuple(self.window_size), num_heads=num_heads)
         self.norm2 = norm_layer(dim)
         mlp_hidden_dim = int(dim * mlp_ratio)
         self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim,