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| class modelscope_args():
| def __init__(self,
| task: str = "",
| model: str = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
| data_path: str = None,
| output_dir: str = None,
| model_revision: str = None,
| dataset_type: str = "small",
| batch_bins: int = 2000,
| max_epoch: int = None,
| accum_grad: int = None,
| keep_nbest_models: int = None,
| optim: str = None,
| lr: float = None,
| scheduler: str = None,
| scheduler_conf: dict = None,
| specaug: str = None,
| specaug_conf: dict = None,
| ):
| self.task = task
| self.model = model
| self.data_path = data_path
| self.output_dir = output_dir
| self.model_revision = model_revision
| self.dataset_type = dataset_type
| self.batch_bins = batch_bins
| self.max_epoch = max_epoch
| self.accum_grad = accum_grad
| self.keep_nbest_models = keep_nbest_models
| self.optim = optim
| self.lr = lr
| self.scheduler = scheduler
| self.scheduler_conf = scheduler_conf
| self.specaug = specaug
| self.specaug_conf = specaug_conf
|
|
