Model parallel v2 llama finetuning notebook fixes #4646
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SuhitK
reviewed
May 6, 2024
| @@ -27,7 +27,7 @@ def parse_args(): # pylint: disable=too-many-statements | |||
| opt_grp.add_argument("--seed", type=int, default=12345) | |||
| opt_grp.add_argument("--same_seed", type=int, default=0) | |||
| opt_grp.add_argument("--bf16", default=1, type=int, help="automatic mixed precision training") | |||
| opt_grp.add_argument("--fp8", default=1, type=int, help="fp8 mixed precision training") | |||
| opt_grp.add_argument("--fp8", default=0, type=int, help="fp8 mixed precision training") | |||
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Did you run into any issues with the default enabled? Normally, fp8 will only be enabled for models that support fp8 and should switch to bf16 for other cases.
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Description of changes:
Testing done:
Ran smp-finetuning-llama-fsdp-tp.ipynb in sagemaker notebook and ensured sagemaker training job succeded
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