微调时,数据已经成功读取,finetune_moss.py报错TypeError: pad_sequence(): argument 'sequences' (position 1) must be tuple of Tensors, not Tensor
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Description
SFT微调时,数据已经成功读取,但是finetune_moss.py运行到for batch_cnt, (input_ids, attention_mask, labels) in enumerate(train_dataloader):行时报错,
数据的格式是这样的,总共100个
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- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
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Research direction
Start by inspecting finetune_moss.py, especially the train_dataloader construction and the loop over input_ids, attention_mask, and labels. Reproduce the failure with the reported SFT data and trace the value passed to pad_sequence(). Done means the training loop accepts the dataset without the reported TypeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100