Fix typo in training routine of prompt_tuner.py

prompt_tuner.py

@@ -965,7 +965,7 @@ class TrainerBase(abc.ABC):
 
                 # Give the context to the model and compare the model's output logits with the labels to compute the loss
                 logits = model(input_ids=input_ids, labels=input_ids).logits
-                loss: torch.Tensor = cross_entropy_loss(logits.view(-1, model.transformer.wte.weight.size(1)), labels.view(-1))
+                loss: torch.Tensor = cross_entropy_loss(logits.view(-1, model.transformer.wte.weight.size(0)), labels.view(-1))
                 total_loss += loss.detach()
 
                 # Compute the gradient of the loss function and add it to model.get_soft_params().grad (model.get_soft_params().grad += gradient)