Comments (13)
Solved: Configure environment variables at the beginning of the training file:
os.environ["WANDB_DISABLED"] = "true"
已解决:
在训练文件开头配置环境变量:
os.environ["WANDB_DISABLED"] = "true"请问一下 你说的 训练文件 是指的哪个文件?
train_qlora.py 啊
from chatglm-6b-qlora.
已解决:
在训练文件开头配置环境变量:
os.environ["WANDB_DISABLED"] = "true"
from chatglm-6b-qlora.
解决RuntimeError: Expected all tensors to be on the same device, but found at least two devices
主要是因为配置了多个gpu,代码中数据一会在cpu,一会在gpu运行,最好是放到同一个device中执行即可。
所以解决方案是,只使用一个gpu即可解决:
import os os.environ["CUDA_VISIBLE_DEVICES"] = "0"
refer @Aicharm
from chatglm-6b-qlora.
解决RuntimeError: Expected all tensors to be on the same device, but found at least two devices 主要是因为配置了多个gpu,代码中数据一会在cpu,一会在gpu运行,最好是放到同一个device中执行即可。 所以解决方案是,只使用一个gpu即可解决:
import os os.environ["CUDA_VISIBLE_DEVICES"] = "0"
refer @Aicharm
大佬也是在docker环境运行的么?我没docker环境 能不能通过其他方式运行
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我也没用docker环境呀,直接在linux后台跑的呢
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我的是windows系统 之前用ptuning 微调 我就是用git bash 运行的脚本 可以微调 现在不行了
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我的是windows系统 之前用ptuning 微调 我就是用git bash 运行的脚本 可以微调 现在不行了
是报了什么错呀
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from chatglm-6b-qlora.
@Mou-Mou-L windows可以安装linux子系统的,然后再安装docker desktop,就可以丝滑的用docker了,可以参考docker desktop的安装文档来
from chatglm-6b-qlora.
我的是windows系统 之前用ptuning 微调 我就是用git bash 运行的脚本 可以微调 现在不行了
是报了什么错呀
https://github.com/shuxueslpi/chatGLM-6B-QLoRA/issues/12#issuecomment-1614418173这个报错 大佬
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@Mou-Mou-L windows可以安装linux子系统的,然后再安装docker desktop,就可以丝滑的用docker了,可以参考docker desktop的安装文档来
公司的电脑 装不了 打开系统虚拟机 系统就崩了 之前试过 哈哈
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Solved: Configure environment variables at the beginning of the training file:
os.environ["WANDB_DISABLED"] = "true"
已解决:
在训练文件开头配置环境变量:
os.environ["WANDB_DISABLED"] = "true"
请问一下 你说的 训练文件 是指的哪个文件?
from chatglm-6b-qlora.
Solved: Configure environment variables at the beginning of the training file:
os.environ["WANDB_DISABLED"] = "true"
已解决:
在训练文件开头配置环境变量:
os.environ["WANDB_DISABLED"] = "true"请问一下 你说的 训练文件 是指的哪个文件?
train_qlora.py 啊
非常感谢 ! 搞定了! 也看到你另外一个回答。多显卡的报错的异常,也搞定了!
from chatglm-6b-qlora.
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
- ChatGLM2-6B微调后合并报错We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules need to be offloaded: HOT 2
- 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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