Migrate metric to Evaluate in Pytorch examples (#18369)

* Migrate metric to Evaluate in pytorch examples

* Remove unused imports

examples/pytorch/translation/run_translation.py

@@ -26,8 +26,9 @@ from typing import Optional
 
 import datasets
 import numpy as np
-from datasets import load_dataset, load_metric
+from datasets import load_dataset
 
+import evaluate
 import transformers
 from transformers import (
     AutoConfig,
@@ -522,7 +523,7 @@ def main():
         )
 
     # Metric
-    metric = load_metric("sacrebleu")
+    metric = evaluate.load("sacrebleu")
 
     def postprocess_text(preds, labels):
         preds = [pred.strip() for pred in preds]

examples/pytorch/translation/run_translation_no_trainer.py

@@ -29,10 +29,11 @@ from pathlib import Path
 import datasets
 import numpy as np
 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
@@ -562,7 +563,7 @@ def main():
             experiment_config["lr_scheduler_type"] = experiment_config["lr_scheduler_type"].value
             accelerator.init_trackers("translation_no_trainer", experiment_config)
 
-    metric = load_metric("sacrebleu")
+    metric = evaluate.load("sacrebleu")
 
     def postprocess_text(preds, labels):
         preds = [pred.strip() for pred in preds]