Fix semantic error in evaluation section (#27675)

Change "convert predictions to logits" to "convert logits to
predictions" to fix semantic error in the evaluation section. Logits
need to be converted to predictions to evaluate the accuracy, not the
other way round

docs/source/en/training.md

@@ -119,7 +119,7 @@ Specify where to save the checkpoints from your training:
 >>> metric = evaluate.load("accuracy")
 ```
 
-Call [`~evaluate.compute`] on `metric` to calculate the accuracy of your predictions. Before passing your predictions to `compute`, you need to convert the predictions to logits (remember all 🤗 Transformers models return logits):
+Call [`~evaluate.compute`] on `metric` to calculate the accuracy of your predictions. Before passing your predictions to `compute`, you need to convert the logits to predictions (remember all 🤗 Transformers models return logits):
 
 ```py
 >>> def compute_metrics(eval_pred):