Skip to content

Vadim170/libtglang

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Info

Project was developed on mac os, tested on linux x86 Used python 3.9.1

Contest: https://contest.com/docs/ML-Competition-2023

Contest first results: https://t.me/contest/341

This project line:

    | Entry | Result | Time  
----+-------+--------+-------
6.  | 4672  | 74.5%  | 265ms

Build

cd src
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
cmake --build .

Train

  1. Run dataset-prepare.ipynb to prepare dataset from raw_data_v2.zip. In result: 50000+ batches in dataset_v4o_train and 5000 batches in dataset_v4o_validate
  2. Run dataset_tg-prepare.ipynb to prepare dataset from ml2023-r1-dataset.tar and ml2023-d1-dataset.tar
  3. Run train.ipynb to train on data dataset_v4o batches. And save onnx model
  4. Watch at convert-model.ipynb to convert onnx model to ort and compile onnxruntime

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published