Save the Wav2Vec2 processor before training starts (#10910)

Co-authored-by: nithin19 <nithin@amberscript.com>

examples/research_projects/wav2vec2/run_common_voice.py

@@ -476,13 +476,14 @@ def main():
             checkpoint = model_args.model_name_or_path
         else:
             checkpoint = None
-        train_result = trainer.train(resume_from_checkpoint=checkpoint)
-        trainer.save_model()
 
-        # save the feature_extractor and the tokenizer
+        # Save the feature_extractor and the tokenizer
         if is_main_process(training_args.local_rank):
             processor.save_pretrained(training_args.output_dir)
 
+        train_result = trainer.train(resume_from_checkpoint=checkpoint)
+        trainer.save_model()
+
         metrics = train_result.metrics
         max_train_samples = (
             data_args.max_train_samples if data_args.max_train_samples is not None else len(train_dataset)