diff --git a/model.py b/model.py
index f18996c..044c668 100644
--- a/model.py
+++ b/model.py
@@ -115,6 +115,10 @@ class GPT(nn.Module):
             ln_f = nn.LayerNorm(config.n_embd),
         ))
         self.lm_head = nn.Linear(config.n_embd, config.vocab_size, bias=False)
+        # with weight tying when using torch.compile() some warnings get generated:
+        # "UserWarning: functional_call was passed multiple values for tied weights.
+        # This behavior is deprecated and will be an error in future versions"
+        # not 100% sure what this is, so far seems to be harmless. TODO investigate
         self.transformer.wte.weight = self.lm_head.weight # https://paperswithcode.com/method/weight-tying
 
         # report number of parameters