Comments (2)
JuzLEthE
commented on September 11, 2024
save_strategy改成epoch后再用微调后的结果执行合并还是一样的报错
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JuzLEthE
commented on September 11, 2024
应该是显存不足导致的 指定--device cpu之后正常了
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Related Issues (20)
- 数据集格式instruction,input,output时tokenized出错 HOT 2
- 训练结束后，数据展示出现问题
- merge后模型Loading checkpoint shards Killed HOT 6
- 调优后的模型是否可以在CPU服务上部署？ HOT 1
- protobuf 和 icetk 版本不兼容 HOT 1
- ImportError: libcudnn.so.8: cannot open shared object file: No such file or directory HOT 12
- RuntimeError: mat1 and mat2 shapes cannot be multiplied (588x4096 and 1x9437184) ，ChatGLM2-6B做微调，请问如何设置参数？？ HOT 1
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0! (when checking argument for argument target in method wrapper_CUDA_nll_loss_forward)，请问如何调整训练代码，适配多卡训练？？ HOT 1
- transformers>4.30.2时，模型不会进行量化，是因为什么？
- BrokenPipeError: [Errno 32] Broken pipe HOT 7
- 训练结束后没有保存完整的adapter文件 HOT 2
- 用V100显卡微调chatglm2-6b，但是loss一直为0，eval_loss=nan
- 训练显存有些问题
- 微调后推理性能问题 HOT 1
- ChatGLM3-6B 微调报错 RuntimeError: CUDA error: invalid argument HOT 1
- 合并模型的时候显存不够,用的4090，24G
- qlora微调训练随机性
- ValueError:
- ChatGLM2-6b模型合并时报错ValueError: We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules need to be offloaded
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