Add seed setting to image classification example (#18519)

examples/pytorch/image-classification/run_image_classification.py

@@ -43,6 +43,7 @@ from transformers import (
     HfArgumentParser,
     Trainer,
     TrainingArguments,
+    set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint
 from transformers.utils import check_min_version, send_example_telemetry
@@ -214,6 +215,9 @@ def main():
                 "the `--output_dir` or add `--overwrite_output_dir` to train from scratch."
             )
 
+    # Set seed before initializing model.
+    set_seed(training_args.seed)
+
     # Initialize our dataset and prepare it for the 'image-classification' task.
     if data_args.dataset_name is not None:
         dataset = load_dataset(