Update src/transformers/training_args.py

Co-authored-by: Byron Hsu <byronhsu1230@gmail.com>

Author: shimizust

src/transformers/training_args.py

@@ -793,7 +793,7 @@ class TrainingArguments:
  Whether to run recursively gather object in a nested list/tuple/dictionary of objects from all devices. This should only be enabled if users are not just returning tensors, and this is actively discouraged by PyTorch.
 
  use_liger (`bool`, *optional*, defaults to `False`):
- Whether enable [Liger](https://github.com/linkedin/Liger-Kernel) (Linkedin GPU Efficient Runtime) Kernel for LLM model training.
+ Whether enable [Liger](https://github.com/linkedin/Liger-Kernel) Kernel for LLM model training.
  It can effectively increase multi-GPU training throughput by ~20% and reduces memory usage by ~60%, works out of the box with
  flash attention, PyTorch FSDP, and Microsoft DeepSpeed. Currently, it supports llama, mistral, mixtral and gemma models.
  """