Git Product home page Git Product logo

yaya-moss-alpaca-lora's Introduction

👋 Welcome to my Github!

Aspiring to be an outstanding researcher and a proficient full-stack engineer.

📄 Bio

My name is Qiyuan Chen (陈启源) and I am currently a Ph.D. student at the College of Computer Science and Technology, Zhejiang University, co-supervised by Prof. Jian Wu and Dr. Jintai Chen. Before that, I got my B.Sc. degree from the School of Mathematics and Statistics, Central China Normal University, under the guidance of Prof. Bo Li and Dr. Haitong Yang.

My current research interests primarily include: Multi Modal Learning (MM), Machine Learning (ML) and Natural Language Processing (NLP). Specifically,

  • Multi Modal Learning and its Applications in Medical
  • Theories and Methods in Semi-Supervised Learning
  • Tabular Data Prediction and Tabular Reasoning
  • Modules and Further Applications in RAG systems

Feel free to contact me if your research lies within these or related areas!

And I work really closely with Qian Shao, Xuming Hu, Hongsen Huang and Zepeng Li.

In my free time, I really enjoy developing interesting websites and tools using Java (sometimes Python with FastAPI) and Vue.js. You can check out my projects on my GitHub if you're interested.

I also enjoy digital devices (mechanical keyboards/NAS, etc.), badminton and chess in my spare time.

For more information, Please visit my Homepage.

yaya-moss-alpaca-lora's People

Contributors

qiyuan-chen avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

yaya-moss-alpaca-lora's Issues

RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select

在model.generate()函数中报错请问应该如何修改
def evaluate(instruction, input=None):
prompt = generate_prompt(instruction, input)
inputs = tokenizer(prompt, return_tensors="pt")
input_ids = inputs["input_ids"].cuda()
print(input_ids)

generation_output = model.generate(input_ids=input_ids,
                                   generation_config=generation_config,
                                   return_dict_in_generate=True,
                                   output_scores=True,
                                   max_new_tokens=256)

for s in generation_output.sequences:
    output = tokenizer.decode(s)
    print("Response:", output.split("### Response:")[1].strip())

运行求助

训练结束之后是运行luotuo-1.0文件下的runs文件吗,但是里面没有adapter_config.json和adapter_model.bin文件

屏幕截图 2023-05-24 214520
屏幕截图 2023-05-24 214639
屏幕截图 2023-05-24 214700

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo 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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.