pytorch - trainer - clean code

freqtrade/freqai/torch/PyTorchModelTrainer.py

@@ -86,7 +86,7 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
         )
 
         batch_counter = 0
-        for epoch in range(n_epochs):
+        for _ in range(n_epochs):
             for _, batch_data in enumerate(data_loaders_dictionary["train"]):
                 xb, yb = batch_data
                 xb = xb.to(self.device)
@@ -171,7 +171,7 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
         """
         - Saving any nn.Module state_dict
         - Saving model_meta_data, this dict should contain any additional data that the
-          user needs to store. e.g class_names for classification models.
+          user needs to store. e.g. class_names for classification models.
         """
 
         torch.save({