System Info

• transformers version: 4.46.3
• Platform: Linux-5.15.0-125-generic-x86_64-with-glibc2.35
• Python version: 3.11.10
• Huggingface_hub version: 0.26.3
• Safetensors version: 0.4.5
• Accelerate version: 1.1.0
• Accelerate config: not found
• PyTorch version (GPU?): 2.5.1 (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?:
• Using GPU in script?:
• GPU type: NVIDIA H100 80GB HBM3

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

Call trainer.create_model_card(..., datasets=[]).
The checks at

do not cover this case, we end up in the else branch and access datasets[-1].

Expected behavior

No exception should be raised, no dataset info should be included in the model card.