seaco_paraformer微调时报错：seaco_id = samples[0]["seaco_id"] IndexError: list index out of range

[1xuanxia]

Notice: In order to resolve issues more efficiently, please raise issue following the template. （注意：为了更加高效率解决您遇到的问题，请按照模板提问，补充细节）

❓ Questions and Help

Before asking:

1. search the issues.
2. search the docs.

What is your question?

使用seaco_paraformer进行微调时，发现如下问题，已经使用最新的seaco_paraformer模型和finetune.sh代码，训练数据格式正确，仍然出现以下问题，funasr=1.2.0。

Code

File "/opt/asr_finetune/FunASR/examples/industrial_data_pretraining/seaco_paraformer/../../../funasr/bin/train_ds.py", line 56, in main_hydra main(**kwargs) File "/opt/asr_finetune/FunASR/examples/industrial_data_pretraining/seaco_paraformer/../../../funasr/bin/train_ds.py", line 173, in main trainer.train_epoch( File "/root/anaconda3/envs/funasr/lib/python3.10/site-packages/funasr/train_utils/trainer_ds.py", line 578, in train_epoch for batch_idx, batch in enumerate(dataloader_train): File "/root/anaconda3/envs/funasr/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 701, in next data = self._next_data() File "/root/anaconda3/envs/funasr/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 757, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "/root/anaconda3/envs/funasr/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 55, in fetch return self.collate_fn(data) File "/root/anaconda3/envs/funasr/lib/python3.10/site-packages/funasr/datasets/audio_datasets/datasets.py", line 215, in collator seaco_id = samples[0]["seaco_id"] IndexError: list index out of range E0315 13:47:12.072000 618603 site-packages/torch/distributed/elastic/multiprocessing/api.py:869] failed (exitcode: 1) local_rank: 0 (pid: 618658) of binary: /root/anaconda3/envs/funasr/bin/python Traceback (most recent call last): File "/root/anaconda3/envs/funasr/bin/torchrun", line 33, in sys.exit(load_entry_point('torch==2.5.1', 'console_scripts', 'torchrun')())

What have you tried?

What's your environment?

• OS (e.g., Linux):
• FunASR Version (e.g., 1.0.0):
• ModelScope Version (e.g., 1.11.0):
• PyTorch Version (e.g., 2.0.0):
• How you installed funasr (pip, source):
• Python version:
• GPU (e.g., V100M32)
• CUDA/cuDNN version (e.g., cuda11.7):
• Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1)
• Any other relevant information: