There was an error loading the fine-tuned model？How to solve?
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Description
If you want to use BertLMHeadModel as a standalone, add is_decoder=True.
Some weights of BertLMHeadModel were not initialized from the model checkpoint at /root/xiasen/checkpoint45000/ and are newly initialized: ['cls.predictions.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.bias']
NotImplementedError: Cannot copy out of meta tensor; no data
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First steps
- 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.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the fine-tuned model load from /root/xiasen/checkpoint45000/ and inspect the BertLMHeadModel configuration alongside the reported meta-tensor error. Done means the checkpoint loads successfully without the NotImplementedError, with the model configuration and newly initialized weights understood.
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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