code: def test_trainer():
      CONFIG = json.load(
          open("configs/Toxic_comment_classification_BERT.json")
      )
      CONFIG["dataset"]["args"][
          "train_csv_file"
      ] = "tests/dummy_data/jigsaw-toxic-comment-classification-challenge/train.csv"
      CONFIG["dataset"]["args"][
          "test_csv_file"
      ] = "tests/dummy_data/jigsaw-toxic-comment-classification-challenge/test.csv"
      CONFIG["batch_size"] = 2
  
      results = initialize_trainer(CONFIG)
      print(results)
      assert results[0]["test_acc"] > 0.3
  
file_path: detoxify/tests/test_trainer.py
imports: import json
  import src.data_loaders
  import torch
  from pytorch_lightning import seed_everything, Trainer
  from torch.utils.data import DataLoader
  from train import ToxicClassifier
label_desc: Use image node_id 2 for calling a global function with example usage: test_trainer() without return types