def METHOD_NAME(self) -> None:
    self.finetune_cfg = \
        {'framework': 'pytorch',
         'task': 'auto-speech-recognition',
         'model': {'type': 'ofa',
                   'beam_search': {'beam_size': 5,
                                   'max_len_b': 128,
                                   'min_len': 1,
                                   'no_repeat_ngram_size': 5,
                                   'constraint_range': '4,21134'},
                   'seed': 7,
                   'max_src_length': 256,
                   'language': 'zh',
                   'gen_type': 'generation',
                   'multimodal_type': 'mmspeech'},
         'pipeline': {'type': 'ofa-asr'},
         'n_frames_per_step': 1,
         'dataset': {'column_map': {'wav': 'Audio:FILE', 'text': 'Text:LABEL'}},
         'train': {'work_dir': 'work/ckpts/asr_recognition',
                   # 'launcher': 'pytorch',
                   'max_epochs': 1,
                   'use_fp16': True,
                   'dataloader': {'batch_size_per_gpu': 16, 'workers_per_gpu': 0},
                   'lr_scheduler': {'name': 'polynomial_decay',
                                    'warmup_proportion': 0.01,
                                    'lr_end': 1e-07},
                   'lr_scheduler_hook': {'type': 'LrSchedulerHook', 'by_epoch': False},
                   'optimizer': {'type': 'AdamW', 'lr': 5e-05, 'weight_decay': 0.01},
                   'optimizer_hook': {'type': 'TorchAMPOptimizerHook',
                                      'cumulative_iters': 1,
                                      'grad_clip': {'max_norm': 1.0, 'norm_type': 2},
                                      'loss_keys': 'loss'},
                   'criterion': {'name': 'AdjustLabelSmoothedCrossEntropyCriterion',
                                 'constraint_range': '4,21134',
                                 'drop_worst_after': 0,
                                 'drop_worst_ratio': 0.0,
                                 'ignore_eos': False,
                                 'ignore_prefix_size': 0,
                                 'label_smoothing': 0.1,
                                 'reg_alpha': 1.0,
                                 'report_accuracy': False,
                                 'sample_patch_num': 196,
                                 'sentence_avg': True,
                                 'use_rdrop': False,
                                 'ctc_weight': 1.0},
                   'hooks': [{'type': 'BestCkptSaverHook',
                              'metric_key': 'accuracy',
                              'interval': 100},
                             {'type': 'TextLoggerHook', 'interval': 1},
                             {'type': 'IterTimerHook'},
                             {'type': 'EvaluationHook', 'by_epoch': True, 'interval': 1}]},
         'evaluation': {'dataloader': {'batch_size_per_gpu': 4, 'workers_per_gpu': 0},
                        'metrics': [{'type': 'accuracy'}]},
         'preprocessor': []}
    self.WORKSPACE = './workspace/ckpts/asr_recognition'