def METHOD_NAME(cfg):
    cfg.train.lr_scheduler = {
        'type': 'LambdaLR',
        'lr_lambda': noam_lambda,
        'options': {
            'by_epoch': False
        }
    }
    cfg.train.optimizer = {'type': 'AdamW', 'lr': 3e-4}
    cfg.train.dataloader = {'batch_size_per_gpu': 2, 'workers_per_gpu': 1}
    cfg.evaluation.dataloader = {
        'batch_size_per_gpu': 2,
        'workers_per_gpu': 1
    }
    cfg.evaluation.metrics = 'ppl'
    cfg.model.strict = False
    return cfg