Fixed embeding mistake

2026-03-05 15:13:34 -05:00
parent 8d8fb8c212
commit 98282675b0
1 changed files with 1 additions and 1 deletions
--- a/model.py
+++ b/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)