微调模型出现了个问题，请指教我下，哪里弄错了

[chenmiaotian]

finetune：
#模型路径
model_name_or_model_dir="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch"

train_data="data/train.jsonl"
val_data="data/valid.jsonl"

scp2jsonl
++scp_file_list='["data/train_wav.scp", "data/train_text.txt"]'
++data_type_list='["source", "target"]'
++jsonl_file_out="${train_data}"

scp2jsonl
++scp_file_list='["data/valid_wav.scp", "data/valid_text.txt"]'
++data_type_list='["source", "target"]'
++jsonl_file_out="${val_data}"

exp output dir

output_dir="./outputs"
log_file="${output_dir}/log.txt"

mkdir -p ${output_dir}
echo "log_file: ${log_file}"

FunASR/funasr/bin/train.py
++model="${model_name_or_model_dir}"
++train_data_set_list="${train_data}"
++valid_data_set_list="${val_data}"
++dataset_conf.batch_size=20000
++dataset_conf.batch_type="token"
++dataset_conf.num_workers=4
++train_conf.max_epoch=50
++train_conf.log_interval=1
++train_conf.resume=false
++train_conf.validate_interval=2000
++train_conf.save_checkpoint_interval=2000
++train_conf.keep_nbest_models=20
++train_conf.avg_nbest_model=10
++optim_conf.lr=0.0002
++output_dir="${output_dir}" &> ${log_file}

错误如下：
Error executing job with overrides: ['++model=iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch', '++train_data_set_list=data/train.jsonl', '++valid_data_set_list=data/valid.jsonl', '++dataset_conf.batch_size=20000', '++dataset_conf.batch_type=token', '++dataset_conf.num_workers=4', '++train_conf.max_epoch=50', '++train_conf.log_interval=1', '++train_conf.resume=false', '++train_conf.validate_interval=2000', '++train_conf.save_checkpoint_interval=2000', '++train_conf.keep_nbest_models=20', '++train_conf.avg_nbest_model=10', '++optim_conf.lr=0.0002', '++output_dir=./outputs']
Traceback (most recent call last):
File "/mnt/workspace/FunASR/funasr/bin/train.py", line 250, in
main_hydra()
File "/opt/conda/lib/python3.10/site-packages/hydra/main.py", line 94, in decorated_main
_run_hydra(
File "/opt/conda/lib/python3.10/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
_run_app(
File "/opt/conda/lib/python3.10/site-packages/hydra/_internal/utils.py", line 457, in _run_app
run_and_report(
File "/opt/conda/lib/python3.10/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/opt/conda/lib/python3.10/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
File "/opt/conda/lib/python3.10/site-packages/hydra/_internal/utils.py", line 458, in
lambda: hydra.run(
File "/opt/conda/lib/python3.10/site-packages/hydra/_internal/hydra.py", line 132, in run
_ = ret.return_value
File "/opt/conda/lib/python3.10/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/opt/conda/lib/python3.10/site-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
File "/mnt/workspace/FunASR/funasr/bin/train.py", line 51, in main_hydra
main(**kwargs)
File "/mnt/workspace/FunASR/funasr/bin/train.py", line 210, in main
trainer.train_epoch(
File "/mnt/workspace/FunASR/funasr/train_utils/trainer.py", line 351, in train_epoch
for batch_idx, batch in enumerate(dataloader_train):
File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 630, in next
data = self._next_data()
File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1371, in _process_data
data.reraise()
File "/opt/conda/lib/python3.10/site-packages/torch/_utils.py", line 694, in reraise
raise exception
AttributeError: Caught AttributeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/workspace/FunASR/funasr/datasets/audio_datasets/datasets.py", line 67, in getitem
speech, speech_lengths = extract_fbank(
File "/mnt/workspace/FunASR/funasr/utils/load_utils.py", line 173, in extract_fbank
data, data_len = frontend(data, data_len, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/mnt/workspace/FunASR/funasr/frontends/wav_frontend.py", line 125, in forward
batch_size = input.size(0)
AttributeError: 'str' object has no attribute 'size'
. Did you mean: '_return_value'?