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As we discussed the "Hybrid weight" in #814 before, I did some test on 5x64 network, and have some interesting result, I open a new thread and post here.
I remember the learning rate is very low at the last of 5B network, so I download some 5B network, include last 5B king c83, second king 35d, and some random weights after c83 (because I don't have the win rate of 5B network), network list below:
c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43
35df1f93351d7edea1f1251dbcff6131a18dc9b9c25d634558d747a55e6920e4
87973d8fe2db18599d136c47f1f54634a22fea1876f2283a8330fde13b5bf1aa
74ca7a1b11a7841a7f195f2b87dd55fa80dc82fb56887bad9c69e32f44717b4d
6fd1a91be8ed13b8cfc4886a51e77a2738705261c6ede9a4f117d8c4073faec8
5b2b40ea018492b26da33966f78abfe0caa35f98167c26a743340cc7e7232204
Then I wrote a match program to auto “hybrid” weight and match (https://github.com/pangafu/Hybrid_LeelaZero), and I found in Playout 200, the strongest weight is 879-6fd-c83_1-0.8-0.8.txt, match result is:
879-6fd-c83_1-0.8-0.8.txt vs 35df1f93351d7edea1f1251dbcff6131a18dc9b9c25d634558d747a55e6920e4.txt :27(67.5%) : 13(32.5%)
879-6fd-c83_1-0.8-0.8.txt vs c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43.txt :23(57.5%) : 17(42.5%)
Then I match it in Playout 1,600, the result is:
879-6fd-c83_1-0.8-0.8.txt vs 35df1f93351d7edea1f1251dbcff6131a18dc9b9c25d634558d747a55e6920e4.txt :42(70.0%) : 18(30.000000000000004%)
879-6fd-c83_1-0.8-0.8.txt vs c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43.txt :39(65.0%) : 21(35.0%)
Finally, I match it in Playout 16,000, the result is:
879-6fd-c83_1-0.8-0.8.txt vs c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43.txt :39(65.0%) : 21(35.0%)
And the all match log can download from here: match.log
As we discussed the "Hybrid weight" in #814 before, I did some test on 5x64 network, and have some interesting result, I open a new thread and post here.
I remember the learning rate is very low at the last of 5B network, so I download some 5B network, include last 5B king c83, second king 35d, and some random weights after c83 (because I don't have the win rate of 5B network), network list below:
c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43
35df1f93351d7edea1f1251dbcff6131a18dc9b9c25d634558d747a55e6920e4
87973d8fe2db18599d136c47f1f54634a22fea1876f2283a8330fde13b5bf1aa
74ca7a1b11a7841a7f195f2b87dd55fa80dc82fb56887bad9c69e32f44717b4d
6fd1a91be8ed13b8cfc4886a51e77a2738705261c6ede9a4f117d8c4073faec8
5b2b40ea018492b26da33966f78abfe0caa35f98167c26a743340cc7e7232204
Then I wrote a match program to auto “hybrid” weight and match (https://github.com/pangafu/Hybrid_LeelaZero), and I found in Playout 200, the strongest weight is 879-6fd-c83_1-0.8-0.8.txt, match result is:
879-6fd-c83_1-0.8-0.8.txt vs 35df1f93351d7edea1f1251dbcff6131a18dc9b9c25d634558d747a55e6920e4.txt :27(67.5%) : 13(32.5%)
879-6fd-c83_1-0.8-0.8.txt vs c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43.txt :23(57.5%) : 17(42.5%)
Then I match it in Playout 1,600, the result is:
879-6fd-c83_1-0.8-0.8.txt vs 35df1f93351d7edea1f1251dbcff6131a18dc9b9c25d634558d747a55e6920e4.txt :42(70.0%) : 18(30.000000000000004%)
879-6fd-c83_1-0.8-0.8.txt vs c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43.txt :39(65.0%) : 21(35.0%)
Finally, I match it in Playout 16,000, the result is:
879-6fd-c83_1-0.8-0.8.txt vs c83e1b6e0ffbf8e684f2d8f6261853f14c553b29ee0e70ff6c34e87d28009c43.txt :39(65.0%) : 21(35.0%)
And the all match log can download from here:
match.log
The 879-6fd-c83_1-0.8-0.8.txt weight can download from here:
879-6fd-c83_1-0.8-0.8.txt
The Playout 16000 match can download from here:
H879vsC83_PO16000.zip
Some interesting result:
In my opinion, "Hybrid" maybe equal to assemble and average several network's output, which to make the network predict more accurate.
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