Comments (2)
学习率过高
from llama-factory.
感谢大佬的回复
from llama-factory.
Related Issues (20)
- 请问本项目支持ChatHome中的使用多任务指令结合预训练的方式吗?也就是在继续预训练的时候,和指令监督数据一起微调? HOT 3
- 已扩展词表的大模型推理导出问题
- Asecend910A推理glm4-9b-chat出现 NPU function error HOT 1
- 奖励模型vllm部署后,请求的时候怎么获取返回的score数值? HOT 1
- 信息抽取微调,输出重复结果
- 昇腾910b推理baichuan2-13B模型报错:The operator 'aten::isin.Tensor_Tensor_out' is not currently supported on the NPU backend and will 待解决 HOT 1
- Qwen-14b模型SFT时还是出现ValueError: Adding unknown special tokens is not supported问题 HOT 3
- kto_pair not available error
- MixtralBlockSparseTop2MLP没有这个
- 推理重复
- 运行qwen-14B时报错:AttributeError: module 'transformers_modules.Qwen-14B-Chat.modeling_qwen' has no attribute 'QWenLMHeadModel' HOT 1
- 麻烦问一下,这个问题后来怎么解决的呀?依赖都已经满足要求了? HOT 1
- 2张16g P100 显卡,运行qwen2-7b提示显卡版本太低,如何处理?
- DeepSeek-Coder-V2-Lite-Base加载BFloat16报错
- qwen2 sft loss学习率一直是0 HOT 2
- 关于使用LLaMA-Factory在2张A100上全参数微调qwen2-7b-instruct训到中间报错问题
- Help:zero 2 训练大量sft 指令跟随数据后,grad norm 出现NAN,损失为0
- 分类任务的训练是否有ROC AUC指标的展示?
- 新人求指导ImportError: cannot import name 'soft_unicode' from 'markupsafe'
- llamafactory的webui可以在于训练过程中给原有的大模型(如qwen0.5b)扩展词表(加入新的token)吗?该如何实现啊? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from llama-factory.