text: from multiprocessing import cpu_count
  
  global_args = {
      "adam_epsilon": 1e-8,
      "best_model_dir": "outputs/best_model",
      "cache_dir": "cache_dir/",
      "config": {},
      "do_lower_case": False,
      "early_stopping_consider_epochs": False,
      "early_stopping_delta": 0,
      "early_stopping_metric": "eval_loss",
      "early_stopping_metric_minimize": True,
      "early_stopping_patience": 3,
      "encoding": None,
      "eval_batch_size": 8,
      "evaluate_during_training": False,
      "evaluate_during_training_steps": 2000,
      "evaluate_during_training_verbose": False,
      "fp16": True,
      "fp16_opt_level": "O1",
      "gradient_accumulation_steps": 1,
      "learning_rate": 4e-5,
      "logging_steps": 50,
      "manual_seed": None,
      "max_grad_norm": 1.0,
      "max_seq_length": 128,
      "multiprocessing_chunksize": 500,
      "n_gpu": 1,
      "no_cache": False,
      "no_save": False,
      "num_train_epochs": 1,
      "output_dir": "outputs/",
      "overwrite_output_dir": False,
      "process_count": cpu_count() - 2 if cpu_count() > 2 else 1,
      "reprocess_input_data": True,
      "save_best_model": True,
      "save_eval_checkpoints": True,
      "save_model_every_epoch": True,
      "save_steps": 2000,
      "silent": False,
      "tensorboard_dir": None,
      "train_batch_size": 8,
      "use_cached_eval_features": False,
      "use_early_stopping": False,
      "use_multiprocessing": True,
      "wandb_kwargs": {},
      "wandb_project": None,
      "warmup_ratio": 0.06,
      "warmup_steps": 0,
      "weight_decay": 0,
  }
  