fixes lr_scheduler warning

For more details, see https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate

examples/ner/run_ner.py

@@ -195,8 +195,8 @@ def train(args, train_dataset, model, tokenizer, labels, pad_token_label_id):
                 else:
                     torch.nn.utils.clip_grad_norm_(model.parameters(), args.max_grad_norm)
 
-                scheduler.step()  # Update learning rate schedule
                 optimizer.step()
+                scheduler.step()  # Update learning rate schedule
                 model.zero_grad()
                 global_step += 1