docs: Resolve incorrect type typo in trainer methods (#22316)

Resolve incorrect type typo in trainer methods

src/transformers/trainer.py

@@ -2915,7 +2915,7 @@ class Trainer:
                 Pass a dataset if you wish to override `self.eval_dataset`. If it is a [`~datasets.Dataset`], columns
                 not accepted by the `model.forward()` method are automatically removed. It must implement the `__len__`
                 method.
-            ignore_keys (`Lst[str]`, *optional*):
+            ignore_keys (`List[str]`, *optional*):
                 A list of keys in the output of your model (if it is a dictionary) that should be ignored when
                 gathering predictions.
             metric_key_prefix (`str`, *optional*, defaults to `"eval"`):
@@ -2980,7 +2980,7 @@ class Trainer:
             test_dataset (`Dataset`):
                 Dataset to run the predictions on. If it is an `datasets.Dataset`, columns not accepted by the
                 `model.forward()` method are automatically removed. Has to implement the method `__len__`
-            ignore_keys (`Lst[str]`, *optional*):
+            ignore_keys (`List[str]`, *optional*):
                 A list of keys in the output of your model (if it is a dictionary) that should be ignored when
                 gathering predictions.
             metric_key_prefix (`str`, *optional*, defaults to `"test"`):
@@ -3314,7 +3314,7 @@ class Trainer:
                 argument `labels`. Check your model's documentation for all accepted arguments.
             prediction_loss_only (`bool`):
                 Whether or not to return the loss only.
-            ignore_keys (`Lst[str]`, *optional*):
+            ignore_keys (`List[str]`, *optional*):
                 A list of keys in the output of your model (if it is a dictionary) that should be ignored when
                 gathering predictions.