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@ -1524,12 +1524,6 @@ def run_adapter(rank, world_size, args, wb=None):
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else:
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p.requires_grad = False
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for n, p in model.named_parameters():
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if p.requires_grad:
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logging.info(n)
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exit()
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optimizer_adapter = ScaledAdam(
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adapter_param,
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lr=0.0001,
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