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hub / github.com/zai-org/CodeGeeX / _add_learning_rate_args

Function _add_learning_rate_args

codegeex/megatron/arguments.py:806–895  ·  view source on GitHub ↗
(parser)

Source from the content-addressed store, hash-verified

804
805
806def _add_learning_rate_args(parser):
807 group = parser.add_argument_group(title="learning rate")
808
809 group.add_argument(
810 "--lr",
811 type=float,
812 default=None,
813 help="Initial learning rate. Depending on decay style "
814 "and initial warmup, the learing rate at each "
815 "iteration would be different.",
816 )
817 group.add_argument(
818 "--lr-decay-style",
819 type=str,
820 default="linear",
821 choices=["constant", "linear", "cosine"],
822 help="Learning rate decay function.",
823 )
824 group.add_argument(
825 "--lr-decay-iters",
826 type=int,
827 default=None,
828 help="number of iterations to decay learning rate over,"
829 " If None defaults to `--train-iters`",
830 )
831 group.add_argument(
832 "--lr-decay-samples",
833 type=int,
834 default=None,
835 help="number of samples to decay learning rate over,"
836 " If None defaults to `--train-samples`",
837 )
838 group.add_argument(
839 "--lr-decay-tokens",
840 type=int,
841 default=None,
842 help="number of tokens to decay learning rate over,"
843 " If not None will override iter/sample-based decay",
844 )
845 group.add_argument(
846 "--lr-warmup-fraction",
847 type=float,
848 default=None,
849 help="fraction of lr-warmup-(iters/samples) to use " "for warmup (as a float)",
850 )
851 group.add_argument(
852 "--lr-warmup-iters",
853 type=int,
854 default=0,
855 help="number of iterations to linearly warmup " "learning rate over.",
856 )
857 group.add_argument(
858 "--lr-warmup-samples",
859 type=int,
860 default=0,
861 help="number of samples to linearly warmup " "learning rate over.",
862 )
863 group.add_argument(

Callers 1

parse_argsFunction · 0.85

Calls

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Tested by

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