[Bug - I think] data_seed in TrainingArguments is unused

[RylanSchaeffer]

System Info

• transformers version: 4.42.3
• Platform: Linux-5.4.0-162-generic-x86_64-with-glibc2.31
• Python version: 3.12.4
• Huggingface_hub version: 0.23.4
• Safetensors version: 0.4.3
• Accelerate version: 0.32.1
• Accelerate config: not found
• PyTorch version (GPU?): 2.3.1+cu121 (True)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using distributed or parallel set-up in script?: No
• Using GPU in script?: Yes
• GPU type: NVIDIA A100-SXM4-80GB

Who can help?

@muellerzr @SunMarc

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

1. Run this simple script https://github.com/huggingface/trl/blob/main/examples/scripts/reward_modeling.py, sweeping data_seed e.g., --data_seed=0 for one run, --data_seed=1 for another run.

Expected behavior

I would expect data_seed to make a difference. However, it does not:

I opened an issue with TRL but after looking at transformers more closely, I can't actually find where data_seed is used. Could someone please check whether data_seed is actually used?