code: def validation_step(self, X, y):
      self.module_.eval()
  
      hidden = self.module_.init_hidden(self.batch_size)
      output, _ = self.module_(X, hidden)
      output_flat = output.view(-1, self.ntokens)
  
      return {
          "loss": self.get_loss(output_flat, y),
          "y_pred": output_flat,
      }
  
file_path: skorch/examples/word_language_model/net.py
imports: import skorch
  import numpy
  import torch
  from torch.autograd import Variable
  from sklearn.metrics import f1_score
label_desc: Use image node_id 5 for calling the Net obj's underlying member method code with example usage: obj.validation_step(X, y) and returns: dict