skip push to hub during training

run_speech_recognition_seq2seq_streaming.py

@@ -658,8 +658,14 @@ def main():
         train_result = trainer.train(resume_from_checkpoint=checkpoint)
         logger.info("*** Training completed ***")
         logger.info("*** Saving model ***")
+        # 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
-        logger.info("*** Model saves ***")
+        trainer.args.push_to_hub = orig_push_to_hub
+        logger.info("*** Model saved ***")
         metrics = train_result.metrics
         if data_args.max_train_samples:
             metrics["train_samples"] = data_args.max_train_samples