Migrate metric to Evaluate in Pytorch examples (#18369)

* Migrate metric to Evaluate in pytorch examples

* Remove unused imports

examples/pytorch/multiple-choice/run_swag_no_trainer.py

@@ -31,10 +31,11 @@ from typing import Optional, Union
 
 import datasets
 import torch
-from datasets import load_dataset, load_metric
+from datasets import load_dataset
 from torch.utils.data import DataLoader
 from tqdm.auto import tqdm
 
+import evaluate
 import transformers
 from accelerate import Accelerator
 from accelerate.logging import get_logger
@@ -514,7 +515,7 @@ def main():
             accelerator.init_trackers("swag_no_trainer", experiment_config)
 
     # Metrics
-    metric = load_metric("accuracy")
+    metric = evaluate.load("accuracy")
 
     # Train!
     total_batch_size = args.per_device_train_batch_size * accelerator.num_processes * args.gradient_accumulation_steps