fix: exclude embedding, lm_head, bias, and norm params from Muon optimizer, use AdamW
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@@ -43,7 +43,13 @@ class MuonMix(optim.Optimizer):
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for name, param in model.named_parameters():
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if not param.requires_grad:
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continue
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if param.dim() >= 2 and "norm" not in name and "bias" not in name:
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if (
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param.dim() >= 2
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and "norm" not in name
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and "bias" not in name
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and "embed" not in name
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and "lm_head" not in name
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):
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matrix_params.append(param)
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else:
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other_params.append(param)
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