class_docstr: Toxic comment classification for the Jigsaw challenges.
  Args:
      config ([dict]): takes in args from a predefined config
                            file containing hyperparameters.
class_docstr_tok: ["Toxic","comment","classification","for","the","Jigsaw","challenges",".","Args",":","config","(","[","dict","]",")",":","takes","in","args","from","a","predefined","config","file","containing","hyperparameters","."]
code: def configure_optimizers(self):
      return torch.optim.Adam(
          self.parameters(), **self.config["optimizer"]["args"]
      )
  
imports: import argparse
  import json
  import os
  import pytorch_lightning
  import src.data_loaders
  import torch
  from pytorch_lightning.callbacks import ModelCheckpoint
  from src.utils import get_model_and_tokenizer
  from torch.nn import functional
  from torch.utils.data import DataLoader
label_desc: Use image node_id 6 for calling the ToxicClassifier obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch