Repository: huggingface/transformers
Pull request: Fix: missing else branch to handle "--load_best_model_at_end" in training_args.py

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Fixes `ValueError: --load_best_model_at_end requires the saving steps to be a round multiple of the evaluation steps, but found 0.1, which is not a round multiple of 0.02.` which shouldn't happen as `0.1 % 0.02 == 5` is a round multiple. The problem is that an else branch is missing in the code.

(Sorry for not going through all the steps below, but I'm a bit busy with other stuff and thought this fix is more or less trivial :D)

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Changed files:
filename: src/transformers/training_args.py
patch: @@ -1646,10 +1646,11 @@ def __post_init__(self):
                             "--load_best_model_at_end requires the saving steps to be a multiple of the evaluation "
                             f"steps, but found {self.save_steps}, which is not a multiple of {self.eval_steps}."
                         )
-                raise ValueError(
-                    "--load_best_model_at_end requires the saving steps to be a round multiple of the evaluation "
-                    f"steps, but found {self.save_steps}, which is not a round multiple of {self.eval_steps}."
-                )
+                else:
+                    raise ValueError(
+                        "--load_best_model_at_end requires the saving steps to be a round multiple of the evaluation "
+                        f"steps, but found {self.save_steps}, which is not a round multiple of {self.eval_steps}."
+                    )
 
         safetensors_available = is_safetensors_available()
         if self.save_safetensors and not safetensors_available: