# Set\_seed and training argument's data\_seed
**URL:**
**Author:**  [@lIlBrother](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FlIlBrother)%5C
**Post date:** [August 6, 2024, 3:00am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fset-seed-and-training-arguments-data-seed%2F101048%2F1 "2024-08-06T03:00:50Z")
If I specify the set\_seed in the trainer utility, does it also fix the data\_seed in TrainingArguments?
To ensure reproducibility, is using set\_seed alone sufficient, or should I also define data\_seed?
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**Author:**  [@lIlBrother](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FlIlBrother)%5C
**Post date:** [August 6, 2024, 3:04am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fset-seed-and-training-arguments-data-seed%2F101048%2F2 "2024-08-06T03:04:20Z")
data\_seed (`int`, _optional_):
Random seed to be used with data samplers. If not set, random generators for data sampling will use the
same seed as `seed`. This can be used to ensure reproducibility of data sampling, independent of the model
seed.
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**Author:**  [@system](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsystem)%5C
**Post date:** [August 6, 2024, 3:04pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fset-seed-and-training-arguments-data-seed%2F101048%2F3 "2024-08-06T15:04:43Z")
Closed on August 6, 2024, 3:04pm UTC
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