Fixed embeding mistake

model.py

@@ -68,7 +68,7 @@ class Transformer():
     def __init__(self,vocab_size,embed_size,n_heads,n_blocks,block_size):
         self.tok_embed = nn.Embedding(vocab_size,embed_size)
         self.pos_embed = nn.Embedding(block_size,embed_size)
-        self.pos_idx = Tensor.arange(block_size, requires_grad=False).sin()
+        self.pos_idx = Tensor.arange(block_size, requires_grad=False)
 
         self.blocks = [Block(embed_size,n_heads,i%4==0) for i in range(n_blocks)]
         self.norm = nn.RMSNorm(embed_size)