avoid pushing checkpoints

run_speech_recognition_seq2seq_streaming.py

@@ -797,6 +797,9 @@ def main():
     )
     logger.info("*** Trainer initialized ***")
 
+    orig_push_to_hub = trainer.args.push_to_hub 
+    trainer.args.push_to_hub = False
+
     # 12. Training
     if training_args.do_train:
         logger.info("*** Train ***")
@@ -812,10 +815,7 @@ def main():
         # We don't want to push the model to the hub now
         # so we temporarily set to false the push_to_hub attribute
         # and then reset it to the original value
-        orig_push_to_hub = trainer.args.push_to_hub 
-        trainer.args.push_to_hub = False
         trainer.save_model()  # Saves the feature extractor too for easy upload
-        trainer.args.push_to_hub = orig_push_to_hub
         logger.info("*** Model saved ***")
         metrics = train_result.metrics
         if data_args.max_train_samples:
@@ -909,7 +909,7 @@ def main():
     notify_me(recipient=RECIPIENT_ADDRESS,
               message=f"Training complete! {train_results = } {eval_results = }")
     
-
+    trainer.args.push_to_hub = orig_push_to_hub
     if training_args.push_to_hub:
         logger.info("*** Pushing to hub ***")
         trainer.push_to_hub(**kwargs)