How to upload your model performance to CoIR Leaderboard

[archersama]

1. use your model to generate all the results. For other tasks, run the coir package to directly obtain the results. For CodeSearchNet and CodeSearchNet-CCR, you will get results for six programming languages, namely Codesearchnet-go，Codesearchnet-java，xxx and CodeSearchNet-ccr-go, CodeSearchNet-ccr-java，xxx respectively. This will result in a total of 12 files. You need to calculate the average for all sub-tasks within these two tasks separately.

2.Create a new issue in the repository with the following format:
title: upload new model performance
content:
{"Model": "Contriever", "Model Size (Million Parameters)": 110, "URL": "https://huggingface.co/facebook/contriever-msmarco",
"Apps": 5.14, "CosQA": 14.21, "Synthetic Text2sql":45.46, "CodeSearchNet": 34.72,
"CodeSearchNet-CCR": 35.74, "CodeTrans-Contest": 44.16, "CodeTrans-DL": 24.21,
"StackOverFlow QA": 66.05, "CodeFeedBack-ST": 55.11, "CodeFeedBack-MT": 39.23, "Avg": 36.40}

3.The repository administrator will update the results on the website.