Fixup no_trainer save logic (#16968)

* Fixup all examples

examples/pytorch/speech-pretraining/run_wav2vec2_pretraining_no_trainer.py

@@ -563,11 +563,13 @@ def main():
     logger.info(f"  Gradient Accumulation steps = {args.gradient_accumulation_steps}")
     logger.info(f"  Total optimization steps = {args.max_train_steps}")
     completed_steps = 0
+    starting_epoch = 0
 
     # Only show the progress bar once on each machine.
     progress_bar = tqdm(range(args.max_train_steps), disable=not accelerator.is_local_main_process)
     completed_steps = 0
-    for epoch in range(args.num_train_epochs):
+    starting_epoch = 0
+    for epoch in range(starting_epoch, args.num_train_epochs):
         model.train()
         for step, batch in enumerate(train_dataloader):
             # compute num of losses