support new special token #3420
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@@ -30,6 +30,10 @@ def configure_rope(config: "PretrainedConfig", model_args: "ModelArguments", is_
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current_max_length = getattr(config, "max_position_embeddings", None)
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if current_max_length and model_args.model_max_length > current_max_length:
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logger.warning(
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"Enlarge max model length from {} to {}.".format(current_max_length, model_args.model_max_length)
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)
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setattr(config, "max_position_embeddings", model_args.model_max_length)
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scaling_factor = float(math.ceil(model_args.model_max_length / current_max_length))
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else:
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logger.warning("Input length is smaller than max length. Consider increase input length.")
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