中分别介绍了如何使用大模型训练工具firefly和LLaMA-Factory来完成大模型微调(SFT阶段)。 本文将会利用更加基础的HuggingFace开源的trl模块来实现大模型微调(SFT),这次我们自己来实现SFT! trl模块是一个全栈模块,它为我们提供了一系列工具来通过强化学习训练 Transformer语言模型,从Supervised Fine-tuning (SFT)、Reward Mod...
QwenLM/Qwen2.5Public NotificationsYou must be signed in to change notification settings Fork548 Star8.8k New issue Closed xuelikanmeihuaopened this issueMay 29, 2024· 2 comments Closed opened this issueMay 29, 2024· 2 comments xuelikanmeihuacommentedMay 29, 2024 ...
基础模型:qwen1.5-14b-base SFT数据:15万左右(包括单轮、多轮、中文、英文数据) 超参:epoch=3、lr=1e-5、batch=128、warmup=0.1、不同的seed 在同一个测试集上300题左右,微调效果差10个点左右 想问一下大概什么原因,该怎么解决。之前在qwen1.0上未发现类似现象。 👀 1 github-actions bot commented ...
line 383, in <module> train() File "/data1/caomy/Qwen_information/Qwen2/examples/sft/finetune.py", line 274, in train ) = parser.parse_args_into_dataclasses() File "/data2/caomy/envs/Qqwen2/lib/python3.10/site-packages/transformers/hf_argparser.py", line 339...
QwenLM / Qwen2.5 Public Notifications Fork 569 Star 9.2k Code Issues 56 Pull requests 7 Discussions Actions Projects Security Insights New issue 使用examples 里的sft 代码进行全参数微调,同样的参数、数据集,每次训练的loss不一样,是哪里有随机性吗? #334 Closed zsl2549 opened this ...
基础模型:qwen1.5-14b-base SFT数据:15万左右(包括单轮、多轮、中文、英文数据) 超参:epoch=3、lr=1e-5、batch=128、warmup=0.1、不同的seed 在同一个测试集上300题左右,微调效果差10个点左右 想问一下大概什么原因,该怎么解决。之前在qwen1.0上未发现类似现象。 👀 1 github-actions bot commented ...
QwenLM / Qwen2.5 Public Notifications Fork 574 Star 9.4k Code Issues 54 Pull requests 6 Discussions Actions Projects Security Insights New issue 使用examples 里的sft 代码进行全参数微调,同样的参数、数据集,每次训练的loss不一样,是哪里有随机性吗? #334 Closed zsl2549 opened this ...
(most recent call last): File "/data1/caomy/Qwen_information/Qwen2/examples/sft/finetune.py", line 383, in <module> obj = dtype(**inputs) File "<string>", line 128, in __init__ File "/data2/caomy/envs/Qqwen2/lib/python3.10/site-packages/transformers/training_args.py", line...
Collaborator jklj077 commented May 30, 2024 如何Merge原始模型和使用lora微调出来的adapter_model #437 merge lora model #188 Please search the issues first. It is right there. If you have met other problems, please feel free to open a new issue, and describe your issues in details there.Sign...