Coder Social home page Coder Social logo

finetune-embedding's People

Contributors

disiok avatar jerryjliu avatar juleskuehn 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  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  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  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

finetune-embedding's Issues

finetune-embedding BGE example instructions

Hi, the BGE model can instructions, but the finetune-embedding example doesn't mention including instructions in either the fine-tuning or evaluation process. Is there any additional info for that?

Error when import `generate_qa_embedding_pairs` from `llama_index.finetuning`

Trying to use generate_qa_embedding_pairs method to create synthetic data.

from llama_index.finetuning import generate_qa_embedding_pairs

I run into an error:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[3], line 2
      1 import torch
----> 2 from llama_index.finetuning import generate_qa_embedding_pairs
      3 from llama_index.llms.openllm import OpenLLM
      4 from llama_index.llms.mistralai import MistralAI

File /mnt/team-shared/.venv/lib/python3.10/site-packages/llama_index/finetuning/__init__.py:13
      6 from llama_index.finetuning.embeddings.common import (
      7     EmbeddingQAFinetuneDataset,
      8     generate_qa_embedding_pairs,
      9 )
     10 from llama_index.finetuning.embeddings.sentence_transformer import (
     11     SentenceTransformersFinetuneEngine,
     12 )
---> 13 from llama_index.finetuning.gradient.base import GradientFinetuneEngine
     14 from llama_index.finetuning.openai.base import OpenAIFinetuneEngine
     15 from llama_index.finetuning.rerankers.cohere_reranker import (
     16     CohereRerankerFinetuneEngine,
     17 )

File /mnt/team-shared/.venv/lib/python3.10/site-packages/llama_index/finetuning/gradient/__init__.py:1
----> 1 from llama_index.finetuning.gradient.base import GradientFinetuneEngine
      3 __all__ = ["GradientFinetuneEngine"]
...
    702 self.__forward_evaluated__ = True`

File /mnt/team-shared/.venv/lib/python3.10/site-packages/llama_index/finetuning/gradient/__init__.py:1
----> 1 from llama_index.finetuning.gradient.base import GradientFinetuneEngine
      3 __all__ = ["GradientFinetuneEngine"]
...
    702 self.__forward_evaluated__ = True

File <string>:1

TypeError: conlist() got an unexpected keyword argument 'max_items'

Sample Data missing

ValueError: File ../llama_index/docs/examples/data/10k/lyft_2021.pdf does not exist. Can you please link to the data required.

Error during installation: s3fs 2023.4.0 requires fsspec==2023.4.0, but you have fsspec 2023.9.2 which is incompatible.

Running pip install -r requirements.txt is producing several errors:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
s3fs 2023.4.0 requires fsspec==2023.4.0, but you have fsspec 2023.9.2 which is incompatible.
llama-index 0.8.5.post2 requires fsspec>=2023.5.0, but you have fsspec 2023.4.0 which is incompatible.

Any ideas how to fix that?

OS: MacOS Ventura 13.6 (22G120)
Python 3.11.4

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.