modelscope / modelscope/ms-swift
训练Qwen3-VL-Embedding模型评估时，评估参数没有loss
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bug
- Dominant language
- Python
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- Avg merge
- 1d 16h
- Merged PRs (30d)
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Description
Checklist / 检查清单
- I have searched existing issues, and this is a new bug report. / 我已经搜索过现有的 issues，确认这是一个新的 bug report。
Bug Description / Bug 描述
我训练时候产生这个错误：
The available evaluation metrics are: ['eval_runtime', 'eval_samples_per_second', 'eval_steps_per_second', 'epoch', 'global_step/max_steps', 'elapsed_time', 'remaining_time', 'memory(GiB)', 'train_speed(s/it)']
How to Reproduce / 如何复现
利用官方代码训练Qwen3-VL-Embedding-2B时会产生
Additional Information / 补充信息
No response
Contributor guide
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
The report names no file, test, or entry point; start with the official Qwen3-VL-Embedding-2B training code and inspect how evaluation metrics are collected. Reproduce the run, compare the listed metrics with the expected evaluation output, and consider the issue done when evaluation reports loss as well.
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
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100