fix for docs

docs/source/en/trainer.md

@@ -436,9 +436,7 @@ trainer.train()
 
 The Schedule Free optimizers have been introduced in [The Road Less Scheduled](https://hf.co/papers/2405.15682).
 Schedule-Free learning replaces the momentum of the base optimizer with a combination of averaging and interpolation, to completely remove the need to anneal the learning rate with a traditional schedule.
-Supported optimizers for SFO are `"schedule_free_adamw"` and `"schedule_free_sgd"`. First install schedulefree from pypi `pip install schedulefree`. 
-
-</Tip>
+Supported optimizers for SFO are `"schedule_free_adamw"` and `"schedule_free_sgd"`. First install schedulefree from pypi `pip install schedulefree`.
 
 Below is a simple script to demonstrate how to fine-tune [google/gemma-2b](https://huggingface.co/google/gemma-2b) on IMDB dataset in full precision: