Add `model.train()` line to ReadMe training example

Co-Authored-By: Santosh-Gupta <San.Gupta.ML@gmail.com>

README.md

@@ -538,6 +538,7 @@ optimizer = AdamW(model.parameters(), lr=lr, correct_bias=False)  # To reproduce
 scheduler = WarmupLinearSchedule(optimizer, warmup_steps=num_warmup_steps, t_total=num_total_steps)  # PyTorch scheduler
 ### and used like this:
 for batch in train_data:
+    model.train()
     loss = model(batch)
     loss.backward()
     torch.nn.utils.clip_grad_norm_(model.parameters(), max_grad_norm)  # Gradient clipping is not in AdamW anymore (so you can use amp without issue)