Docs: Update list of `report_to` logging integrations in docstring (#25281)

* Update list of logging integrations in docstring

Also update type hint

* Also add 'flyte' to report_to callback list

* Revert 'report_to' type hint update

Due to CLI breaking

src/transformers/training_args.py

@@ -507,8 +507,9 @@ class TrainingArguments:
             instance of `Dataset`.
         report_to (`str` or `List[str]`, *optional*, defaults to `"all"`):
             The list of integrations to report the results and logs to. Supported platforms are `"azure_ml"`,
-            `"comet_ml"`, `"mlflow"`, `"neptune"`, `"tensorboard"`,`"clearml"` and `"wandb"`. Use `"all"` to report to
-            all integrations installed, `"none"` for no integrations.
+            `"clearml"`, `"codecarbon"`, `"comet_ml"`, `"dagshub"`, `"flyte"`, `"mlflow"`, `"neptune"`,
+            `"tensorboard"`, and `"wandb"`. Use `"all"` to report to all integrations installed, `"none"` for no
+            integrations.
         ddp_find_unused_parameters (`bool`, *optional*):
             When using distributed training, the value of the flag `find_unused_parameters` passed to
             `DistributedDataParallel`. Will default to `False` if gradient checkpointing is used, `True` otherwise.