make the defaults more sane for the task

its still overkill

pairwise_comp_nn.py

@@ -3,7 +3,7 @@ from torch import nn
 
 # 2) Number "embedding" network: R -> R^d
 class NumberEmbedder(nn.Module):
-    def __init__(self, d=4, hidden=16):
+    def __init__(self, d=2, hidden=4):
         super().__init__()
         self.net = nn.Sequential(
             nn.Linear(1, hidden),
@@ -16,7 +16,7 @@ class NumberEmbedder(nn.Module):
 
 # 3) Comparator head: takes (ea, eb, e) -> logit for "a > b"
 class PairwiseComparator(nn.Module):
-    def __init__(self, d=4, hidden=16, k=0.5):
+    def __init__(self, d=2, hidden=4, k=0.5):
         super().__init__()
         self.log_k = nn.Parameter(torch.tensor([k]))
         self.embed = NumberEmbedder(d, hidden)