Fix no_trainer examples to properly calculate the number of samples (#17046)

* Update all examples to properly calculate progress bar

examples/pytorch/token-classification/run_ner_no_trainer.py

@@ -532,6 +532,10 @@ def main():
         model, optimizer, train_dataloader, eval_dataloader, lr_scheduler
     )
 
+    # We need to recalculate our total training steps as the size of the training dataloader may have changed.
+    num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
+    args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
+
     # Figure out how many steps we should save the Accelerator states
     if hasattr(args.checkpointing_steps, "isdigit"):
         checkpointing_steps = args.checkpointing_steps