Update no_trainer examples to use new logger (#17044)

* Propagate and fix imports

examples/pytorch/multiple-choice/run_swag_no_trainer.py

@@ -37,6 +37,7 @@ from tqdm.auto import tqdm
 
 import transformers
 from accelerate import Accelerator
+from accelerate.logging import get_logger
 from accelerate.utils import set_seed
 from huggingface_hub import Repository
 from transformers import (
@@ -54,7 +55,7 @@ from transformers import (
 from transformers.utils import PaddingStrategy, get_full_repo_name
 
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 # You should update this to your particular problem to have better documentation of `model_type`
 MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys())
 MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)
@@ -272,11 +273,7 @@ def main():
         datefmt="%m/%d/%Y %H:%M:%S",
         level=logging.INFO,
     )
-    logger.info(accelerator.state)
-
-    # Setup logging, we only want one process per machine to log things on the screen.
-    # accelerator.is_local_main_process is only True for one process per machine.
-    logger.setLevel(logging.INFO if accelerator.is_local_main_process else logging.ERROR)
+    logger.info(accelerator.state, main_process_only=False)
     if accelerator.is_local_main_process:
         datasets.utils.logging.set_verbosity_warning()
         transformers.utils.logging.set_verbosity_info()