KataGo Distributed Training

About This Run

KataGo is a strong open-source self-play-trained Go engine, with many improvements to accelerate learning (arXiv paper and further techniques since). It can predict score and territory, play handicap games reasonably, and handle many board sizes and rules all with the same neural net.

This site hosts KataGo's first public-distributed training run! With the help of volunteers, we are attempting to resume training from the end of KataGo's previous official run ("g170") that ended in June 2020, and see how much further we can go. If would like to contribute, see below!

Updates

  • 2023-06-13 - We are upgraded now - kata1-b18c384nbt-s6582M is the first 18-nested-block neural net with the new improved output heads! You will need to be on version v1.13.0 or later to use the nets from here onward.

  • 2023-05-23 - KataGo v1.13.0 is released! Supports a new version of neural nets with improved output heads for policy and error prediction and various other analysis and search and training improvements. Once most or all contributors upgrade, we will be able to switch to the improved nets. If you're an active contributor please upgrade when you can!

  • 2023-03-04 - We're fully switched to v1.12 now and the first new net of the new architecture, b18c384nbt, has been uploaded for testing! Note the learning rate has been kept far higher than every other network, so it might not be as strong yet as the "uec" version of the new net on the releases page.

  • 2023-02-18 - KataGo is now up to version v1.12.4, with some bugfixes for training data generation! Once enough users are upgraded to this version and particularly off of v1.11, we can try the new improved b18 net and architecture for rating games and data generation. Please upgrade if you can!

  • 2023-01-07 - New release of KataGo, v1.12.0, supporting a new neural net architecture! The new net, b18-uec is about as strong as the 60-block nets but should be faster to run.

  • 2022-05-16 - Disabling support for versions older than v1.11.0 in selfplay data contribution so that we can make full use of new graph search parameters for search during selfplay.

  • 2022-03-20 - KataGo v1.11.0 is released! New graph search algorithm instead of tree search, and various parameter improvements.

  • 2022-01-27 - Switching to 60-block net for selfplay data contribution! 40-block net will continue to be trained as well on the data and be rated as well.

Downloading KataGo

If you simply want to run KataGo, the latest releases are here and you can download the latest networks from here. You very likely want a GUI as well, because the engine alone is command-line-only. Some possible GUIs include KaTrain, LizzieYzy, Lizzie, and q5Go, more can be found searching online.

How to Contribute

Contributors are much appreciated! If you'd like to contribute your spare GPU cycles to generate training data for the run, the steps are:

First, create an account on this site, picking a username and secure password. Make sure to verify your email so that the site considers your account fully active. Note: the username you pick will be publicly visible in statistics and on the games you contribute.

Then pick one of the following methods.

Likely easiest method, for a home desktop computer:

  • Download and install KaTrain
  • Inside the GUI menu, select the option for distributed training, provide the username and password for the account you created, and choose a few settings, then just let it run!

Command line method: if running on a remote server, or have already set up KataGo for other things, or if you want a command line that will work in the background without any GUI, or want slightly more flexibility to configure things:

  • Download KataGo from the latest release.
  • Edit the contribute_example.cfg that came when you downloaded KataGo, use a text editor to fill in your username, password, and the few different settings you want.
  • Run it on the command line like: ./katago contribute -config contribute_example.cfg on Linux, or katago.exe contribute -config contribute_example.cfg on Windows. If it is working, it should print out various stats as it runs, including when it finishes and uploads a game.

Either way, once some games are finished, you can view the results at https://katagotraining.org/contributions/ - scroll down and find your username! If anything looks unusual or buggy about the games, or KataGo is behaving weirdly on your machine, please let us know, so we can avoid uploading and training on bad data. Or, if you encounter any error messages, feel to ask for help on KataGo's GitHub or the Discord chat.

For advanced users, instead of downloading a release, you can also build it from source. If you do so, use the stable branch, NOT the master branch. The example config can be found in cpp/configs/contribute_example.cfg

And if you're interested contribute to development via coding, or have a cool idea for a tool, check out either KataGo's GitHub or the this website's GitHub, and/or the Discord chat where various devs hang out. If you want to test a change that affects the distributed client and you need a test server to experiment with modified versions of KataGo, it is available at test.katagodistributed.org, contact lightvector or tychota in Discord for a testing account.

Stats for kata1

This run is named kata1 and began on 2020-11-28 20:23:43 UTC.

Data Generation

Across all time, 1020 distinct users have uploaded 2,679,071,449 rows of training data, 52,398,901 training games, and 1,138,816 rating games.

In the last week, 61 distinct users have uploaded 25,195,142 rows of training data, 524,530 new training games, and 11,442 new rating games.

In the last 24h, 33 distinct users have uploaded 2,896,533 rows of training data, 60,138 new training games, and 1,361 new rating games.

Look up and view games for this run here.

Networks

A total of 688 networks have been uploaded for kata1.

Latest network: kata1-b18c384nbt-s8432511744-d3904833287

Strongest confidently-rated network: kata1-b18c384nbt-s8341979392-d3881113763

Approximate Elo Ratings Graph
Graph is based on about 1,138,816 rating games using mid to high hundreds of playouts. Ratings might still be mildly inflated due to only playing other KataGo nets, but otherwise are fresh and unbiased and involve a variety of nets to avoid rock-paper-scissors. Vertical bars indicate approximately a 95% confidence interval.

Click and drag to zoom. Double-click or click on a button to reset zoom.

Top Contributors

See here for a full list of contributors for kata1.

In the Last 24h

User Training Rows Training Games Rating Games
TheOnly92 1,382,212 rows generated 28,907 training games 765 rating games
Friday9i 225,665 rows generated 4,630 training games 0 rating games
maomaochong 221,116 rows generated 4,578 training games 134 rating games
maverick 175,107 rows generated 3,561 training games 72 rating games
manrelygo 173,489 rows generated 3,555 training games 52 rating games
maxueba 152,222 rows generated 3,158 training games 80 rating games
DARK-STUDIO 69,770 rows generated 1,459 training games 20 rating games
dahuojiwo2 62,703 rows generated 1,312 training games 28 rating games
Bubblesld 48,160 rows generated 992 training games 12 rating games
yxy 39,559 rows generated 799 training games 0 rating games
gnaij 38,261 rows generated 800 training games 12 rating games
alankao 37,172 rows generated 757 training games 16 rating games
ntkylin 35,258 rows generated 734 training games 28 rating games
Miles 33,120 rows generated 684 training games 12 rating games
OLi 29,295 rows generated 622 training games 12 rating games

In the Last Week

User Training Rows Training Games Rating Games
TheOnly92 9,196,860 rows generated 194,020 training games 5,180 rating games
水底2022 6,708,147 rows generated 139,335 training games 3,307 rating games
Friday9i 2,347,075 rows generated 48,059 training games 0 rating games
maomaochong 1,006,669 rows generated 20,879 training games 488 rating games
maxueba 924,483 rows generated 19,118 training games 465 rating games
maverick 760,680 rows generated 15,523 training games 304 rating games
manrelygo 682,233 rows generated 13,955 training games 168 rating games
Bubblesld 299,107 rows generated 6,101 training games 124 rating games
dahuojiwo2 278,473 rows generated 5,933 training games 76 rating games
yxy 275,637 rows generated 5,670 training games 0 rating games
ntkylin 245,582 rows generated 5,018 training games 112 rating games
Miles 230,315 rows generated 4,750 training games 88 rating games
espadrine 219,674 rows generated 4,580 training games 122 rating games
OmnipotentEntity 204,756 rows generated 4,183 training games 68 rating games
OLi 190,765 rows generated 3,932 training games 124 rating games

Overall

User Training Rows Training Games Rating Games
yaoge123 361,166,212 rows generated 7,170,522 training games 112,396 rating games
luckyangman 342,435,207 rows generated 6,418,062 training games 140,115 rating games
水底2022 204,575,284 rows generated 4,212,745 training games 98,692 rating games
Friday9i 156,568,876 rows generated 3,169,842 training games 43,951 rating games
AiqiGo 148,551,176 rows generated 2,819,086 training games 53,342 rating games
maomaochong 111,977,195 rows generated 2,282,707 training games 49,001 rating games
jiusi010302 111,549,344 rows generated 2,157,135 training games 32,148 rating games
VegetableKnife 79,204,855 rows generated 1,470,688 training games 23,367 rating games
katavip.net 70,355,820 rows generated 1,379,526 training games 18,872 rating games
jameswen429 65,701,378 rows generated 1,211,481 training games 30,013 rating games
badukmegapack 54,997,672 rows generated 1,080,455 training games 17,847 rating games
kcwu 45,131,243 rows generated 865,458 training games 90,968 rating games
maxueba 40,563,157 rows generated 825,165 training games 18,097 rating games
TheOnly92 39,417,596 rows generated 817,079 training games 17,592 rating games
luotiany 36,072,981 rows generated 716,687 training games 7,951 rating games