ZeroFish is an experimental program that tries to combine the best of Stockfish and Lc0 in a number of experiments.
Experiment 1 - it's widely assumed that Stockfish is better in tactics than Lc0, we setup a crude MEA system:
....
http://rebel13.nl/prodeo/zerofish.html
ZeroFish - getting the best of 2 worlds
Moderators: hgm, Rebel, chrisw
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ZeroFish - getting the best of 2 worlds
90% of coding is debugging, the other 10% is writing bugs.
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- Full name: Boban Stanojević
Re: ZeroFish - getting the best of 2 worlds
Ed,
I went to your site to read about ZeroFish, then continued (re)reading other articles (still interested in ERL) and finally stumbled over the Speedy Rating list. You were so amiable to test almost all engines so far, so I would ask you, if it is possible, to test the one of these hybrid NN engines -- StockFish NN or StockFinn.
While we are at it: I find that the NN validated your ideas about evaluation and big data. There was a lot of Elo (and not only Elo) to find there, but eventually another way was chosen to incorporated previous experience/knowledge into modern engines.
I went to your site to read about ZeroFish, then continued (re)reading other articles (still interested in ERL) and finally stumbled over the Speedy Rating list. You were so amiable to test almost all engines so far, so I would ask you, if it is possible, to test the one of these hybrid NN engines -- StockFish NN or StockFinn.
While we are at it: I find that the NN validated your ideas about evaluation and big data. There was a lot of Elo (and not only Elo) to find there, but eventually another way was chosen to incorporated previous experience/knowledge into modern engines.
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Re: ZeroFish - getting the best of 2 worlds
I could try.matejst wrote: ↑Fri Jul 10, 2020 12:50 am Ed,
I went to your site to read about ZeroFish, then continued (re)reading other articles (still interested in ERL) and finally stumbled over the Speedy Rating list. You were so amiable to test almost all engines so far, so I would ask you, if it is possible, to test the one of these hybrid NN engines -- StockFish NN or StockFinn.
While we are at it: I find that the NN validated your ideas about evaluation and big data. There was a lot of Elo (and not only Elo) to find there, but eventually another way was chosen to incorporated previous experience/knowledge into modern engines.
90% of coding is debugging, the other 10% is writing bugs.
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- Full name: Boban Stanojević
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Re: ZeroFish - getting the best of 2 worlds
Zerofish seems like a great idea.
Advanced Micro Devices fan.
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- Full name: Boban Stanojević
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Re: ZeroFish - getting the best of 2 worlds
StockFiNN 0.1 1000ms
Code: Select all
EPD : epd\lc1.epd
Time : 1000ms
Max Time Hash
Engine Points Used Time Found Pos Elo Score Score ms Mb Cpu Errors
1 Stockfish 11 324287 11:30:00.8 23191 40000 3242 400000 81.07% 1000 128 1 0
2 StockfiNN 01 322894 11:30:58.1 23357 40000 3228 400000 80.72% 1000 128 1 0
3 Komodo 14 317110 11:09:21.4 22398 40000 3171 400000 79.28% 1000 128 1 0
4 Houdini 6.03 314596 11:27:54.8 22218 40000 3146 400000 78.65% 1000 128 1 0
5 SlowChess 2.2 313139 10:30:56.4 21860 40000 3131 400000 78.28% 1000 128 1 0
6 Ethereal 12.25 312493 11:30:24.1 21959 40000 3124 400000 78.12% 1000 128 1 0
7 rofChade 2.3 309642 11:24:20.2 21587 40000 3096 400000 77.41% 1000 128 1 41
8 SlowChess 2.1 309590 10:31:56.2 21595 40000 3096 400000 77.40% 1000 128 1 0
9 Ethereal 12 309088 11:30:20.9 21840 40000 3090 400000 77.27% 1000 128 1 0
10 Laser 1.7 308178 11:29:30.5 21320 40000 3081 400000 77.04% 1000 128 1 0
11 Schooner 2.2 306808 10:22:01.9 21335 40000 3068 400000 76.70% 1000 128 1 0
12 Xiphos 0.6 306796 10:03:55.9 21333 40000 3068 400000 76.70% 1000 128 1 0
13 RubiChess 1.7.2 305900 11:26:03.9 21215 40000 3059 400000 76.48% 1000 128 1 0
14 Booot 6.4 305082 12:56:19.6 21267 40000 3050 400000 76.27% 1000 128 1 124
15 Defenchess 2.2 303754 10:12:00.7 21208 40000 3037 400000 75.94% 1000 128 1 41
16 Andscacs 0.95 301560 12:10:30.8 20745 40000 3015 400000 75.39% 1005 128 1 41
17 Shredder 13 300619 11:28:47.0 20946 40000 3006 400000 75.15% 1000 128 1 0
18 Wasp 4.00 299925 11:45:50.1 20727 40000 2999 400000 74.98% 1000 128 1 0
19 Senpai 2 299279 11:36:50.5 20615 40000 2992 400000 74.82% 1000 128 1 42
20 Arasan 22 298663 11:27:32.7 20460 40000 2986 400000 74.67% 1000 128 1 0
21 ice 4.0 297995 11:49:51.1 20767 40000 2980 400000 74.50% 1000 128 1 0
22 Critter 1.6 297939 11:38:55.1 20654 40000 2979 400000 74.48% 1000 128 1 22
23 Fire 7.1 296996 11:26:35.7 20356 40000 2970 400000 74.25% 1000 128 1 0
24 Vajolet 2.8 296269 11:25:51.6 20327 40000 2962 400000 74.07% 1000 128 1 0
25 Demolito 200514 295686 10:53:58.5 20429 40000 2956 400000 73.92% 1000 128 1 0
26 igel 2.50 294457 11:29:26.8 20369 40000 2944 400000 73.61% 1000 128 1 0
27 Wasp 3.75 293908 11:44:35.3 20203 40000 2939 400000 73.48% 1000 128 1 0
28 Gogobello 2.2 293824 11:44:24.1 20296 40000 2938 400000 73.46% 1000 128 1 41
29 igel 2.40 293056 11:28:38.5 20261 40000 2930 400000 73.26% 1000 128 1 41
30 Nemorino 5.00 291649 10:05:27.4 19882 40000 2916 400000 72.91% 1000 128 1 41
31 Rodent 4 291647 11:45:03.3 19774 40000 2916 400000 72.91% 1000 128 1 0
32 Winter 0.8 291596 10:02:03.0 20057 40000 2916 400000 72.90% 1000 128 1 41
33 Hannibal 1.7 291446 11:39:04.6 19985 40000 2914 400000 72.86% 1000 128 1 0
34 Combusken 1.2 291389 12:25:31.9 19902 40000 2914 400000 72.85% 1000 128 1 41
35 Texel 1.7 291164 11:27:40.3 20064 40000 2911 400000 72.79% 1000 128 1 0
36 Monolith 2 290807 11:31:27.5 19972 40000 2908 400000 72.70% 1000 128 1 0
37 Topple 0.7.5 290649 12:13:57.0 19696 40000 2906 400000 72.66% 1000 128 1 0
38 Deuterium 2019 290578 11:31:42.7 19819 40000 2905 400000 72.64% 1000 128 1 0
39 Chiron 4 290250 11:46:17.8 19978 40000 2902 400000 72.56% 1000 128 1 0
40 Godel 7.0 290222 12:52:57.9 19758 40000 2902 400000 72.56% 1000 128 1 42
41 Amoeba 3.1 289712 09:40:26.2 19682 40000 2897 400000 72.43% 1000 128 1 0
42 Minic 2.32 289394 11:01:03.5 19880 40000 2894 400000 72.35% 1000 128 1 0
43 FabChess 1.15 289296 11:50:40.2 19849 40000 2892 400000 72.32% 1000 128 1 41
44 sting-sf-21 288904 11:31:56.3 19905 40000 2889 400000 72.23% 1000 128 1 0
45 Marvin 3.60 288732 10:48:52.8 19848 40000 2887 400000 72.18% 1000 128 1 41
46 Minic 2.25 287730 10:54:48.6 19780 40000 2877 400000 71.93% 1000 128 1 0
47 Bobcat 8 287527 10:54:11.9 19486 40000 2875 400000 71.88% 1000 128 1 0
48 Invictus r305 285355 10:16:08.6 19227 40000 2853 400000 71.34% 1000 128 1 0
49 Counter 3.5 285137 11:25:20.1 19329 40000 2851 400000 71.28% 1000 128 1 0
50 Weiss 1.0 284693 11:23:14.3 19241 40000 2846 400000 71.17% 1000 128 1 0
51 Asymptote 0.8 284305 12:19:43.9 19245 40000 2843 400000 71.08% 1000 128 1 41
52 Weiss 0.10 281037 11:06:09.2 18927 40000 2810 400000 70.26% 1000 128 1 0
53 Tucano 8.0 280426 04:46:55.0 18777 40000 2804 400000 70.11% 1000 128 1 0
54 RuyDos 1.1.11 278666 10:25:44.5 18567 40000 2786 400000 69.67% 1000 128 1 0
55 Cheese 2.1 277252 11:28:33.3 18763 40000 2772 400000 69.31% 1000 128 1 0
56 GreKo 2020.03 276482 11:29:35.7 18694 40000 2764 400000 69.12% 1000 128 1 0
57 Fruit 2.3 275618 11:30:55.1 18270 40000 2756 400000 68.90% 1000 128 1 0
58 ProDeo 2.2 273793 11:29:46.3 18263 40000 2738 400000 68.45% 1000 128 1 0
59 Benjamin 271801 11:29:55.8 17985 40000 2718 400000 67.95% 1000 128 1 0
60 Fridolin 3.10 271357 11:40:42.9 18030 40000 2713 400000 67.84% 1000 128 1 0
61 Fruit 2.1 270830 11:29:45.7 17982 40000 2708 400000 67.71% 1000 128 1 0
62 Devel 3.0.0b 269433 12:22:53.0 17986 40000 2694 400000 67.36% 1000 128 1 65
63 Orion 0.6 268120 11:31:45.3 17895 40000 2681 400000 67.03% 1000 128 1 41
64 Ruffian 2 265592 11:13:01.7 17740 40000 2656 400000 66.40% 1000 128 1 0
65 Stash 18.0 253693 11:10:20.4 16848 40000 2536 400000 63.42% 1000 128 1 0
66 CT800 1.40 253449 10:45:20.4 16533 40000 2534 400000 63.36% 1000 128 1 0
67 Stash 17.0 250114 11:11:49.7 16549 40000 2501 400000 62.53% 1000 128 1 0
68 Stash 16.0 249149 11:10:56.4 16461 40000 2491 400000 62.29% 1000 128 1 0
69 Ares 005-2 243380 04:42:01.1 15937 40000 2433 400000 60.84% 1000 128 1 0
70 FoxSee 3.3.3 240244 11:08:18.3 15505 40000 2402 400000 60.06% 1000 128 1 0
Created with MEA
by
Ferdinand
Mosca
Code: Select all
EPD : epd\lc1.epd
Time : 4000ms
Max Time Hash
Engine Points Used Time Found Pos Elo Score Score ms Mb Cpu Errors
1 StockfiNN 01 335716 44:50:30.7 24660 40000 3357 400000 83.93% 4000 128 1 0
2 Stockfish 11 333316 44:49:32.7 24467 40000 3333 400000 83.33% 4000 128 1 0
3 Komodo 14 326627 44:27:14.3 23558 40000 3266 400000 81.66% 4000 128 1 0
4 Houdini 6.03 323896 44:47:34.1 23189 40000 3238 400000 80.97% 4000 128 1 0
5 SlowChess 2.2 322132 41:55:28.0 22885 40000 3221 400000 80.53% 4000 128 1 0
6 Ethereal 12 321795 44:44:14.7 22957 40000 3218 400000 80.45% 4000 128 1 0
7 rofChade 2.3 318859 44:39:33.9 22599 40000 3188 400000 79.71% 4000 128 1 41
8 SlowChess 2.1 318320 41:59:55.0 22470 40000 3183 400000 79.58% 4000 128 1 0
9 Xiphos 0.6 317879 43:21:42.3 22555 40000 3178 400000 79.47% 4000 128 1 0
10 Schooner 2.2 317565 43:41:15.3 22562 40000 3175 400000 79.39% 4000 128 1 0
11 Booot 6.4 316479 47:12:45.4 22523 40000 3164 400000 79.12% 4000 128 1 2
12 RubiChess 1.7.2 314933 44:43:11.4 22096 40000 3149 400000 78.73% 4000 128 1 0
13 Laser 1.7 314814 44:45:07.0 22345 40000 3148 400000 78.70% 4000 128 1 0
14 Defenchess 2.2 312030 38:52:42.1 22110 40000 3120 400000 78.01% 4000 128 1 41
15 Andscacs 0.95 311822 45:24:58.7 21794 40000 3118 400000 77.96% 4000 128 1 41
16 ice 4.0 309829 44:52:39.6 21658 40000 3098 400000 77.46% 4000 128 1 0
17 Shredder 13 309807 44:48:21.9 21994 40000 3098 400000 77.45% 4000 128 1 0
18 Arasan 22 309362 44:45:31.2 21516 40000 3093 400000 77.34% 4000 128 1 0
19 Fire 7.1 308708 44:42:14.0 21560 40000 3087 400000 77.18% 4000 128 1 0
20 Senpai 2 307960 44:42:47.2 21479 40000 3079 400000 76.99% 4000 128 1 42
21 Vajolet 2.8 307941 45:11:43.1 21536 40000 3079 400000 76.99% 4000 128 1 0
22 Gogobello 2.2 307173 45:07:39.2 21400 40000 3071 400000 76.79% 4000 128 1 41
23 Critter 1.6 306779 44:56:44.7 21528 40000 3067 400000 76.69% 4000 128 1 2
24 Demolito 200514 306093 44:12:20.5 21277 40000 3060 400000 76.52% 4000 128 1 0
25 Wasp 4.00 305798 45:02:22.4 21558 40000 3058 400000 76.45% 4000 128 1 0
26 igel 2.40 305711 44:41:01.8 21288 40000 3057 400000 76.43% 4000 128 1 41
27 Winter 0.8 303798 43:20:18.5 21335 40000 3038 400000 75.95% 4000 128 1 41
28 Minic 2.32 303662 41:28:25.6 21042 40000 3036 400000 75.92% 4000 128 1 0
29 Texel 1.7 303519 44:44:52.5 21036 40000 3035 400000 75.88% 4000 128 1 0
30 Nemorino 5.00 302844 43:23:07.1 21009 40000 3028 400000 75.71% 4000 128 1 41
31 Wasp 3.75 301668 45:01:39.0 21049 40000 3016 400000 75.42% 4000 128 1 0
32 FabChess 1.15 301637 44:48:29.5 20899 40000 3016 400000 75.41% 4000 128 1 41
33 Rodent 4 301144 44:55:36.6 20719 40000 3011 400000 75.29% 4000 128 1 0
34 Topple 0.7.5 300807 45:21:48.1 20742 40000 3008 400000 75.20% 4000 128 1 0
35 Chiron 4 300637 45:00:28.3 20953 40000 3006 400000 75.16% 4000 128 1 0
36 Amoeba 3.1 300288 36:57:29.1 20750 40000 3002 400000 75.07% 4000 128 1 0
37 Marvin 3.60 300080 44:10:55.7 20986 40000 3000 400000 75.02% 4000 128 1 41
38 Monolith 2 299874 44:44:18.9 20911 40000 2998 400000 74.97% 4000 128 1 0
39 Combusken 1.2 299766 45:28:35.3 20880 40000 2997 400000 74.94% 4000 128 1 41
40 sting-sf-21 297202 44:48:36.1 20697 40000 2972 400000 74.30% 4000 128 1 0
41 Deuterium 2019 297072 44:41:19.1 20712 40000 2970 400000 74.27% 4000 128 1 0
42 Godel 7.0 296809 45:19:39.9 20640 40000 2968 400000 74.20% 4000 128 1 42
43 Bobcat 8 294708 42:35:45.9 20387 40000 2947 400000 73.68% 4000 128 1 0
44 Tucano 8.0 294410 31:43:42.9 20135 40000 2944 400000 73.60% 4000 128 1 0
45 Asymptote 0.8 294116 45:21:11.1 20110 40000 2941 400000 73.53% 4000 128 1 41
46 Weiss 1.0 293699 44:43:10.2 20111 40000 2936 400000 73.42% 4000 128 1 0
47 Invictus r305 292937 40:07:31.4 19986 40000 2929 400000 73.23% 4000 128 1 0
48 Hannibal 1.7 291930 42:39:15.1 20365 40000 2919 400000 72.98% 4000 128 1 0
49 Counter 3.5 291767 44:40:43.3 20239 40000 2917 400000 72.94% 4000 128 1 0
50 Weiss 0.10 289536 44:25:53.2 19821 40000 2895 400000 72.38% 4000 128 1 0
51 RuyDos 1.1.11 288440 43:41:56.9 19632 40000 2884 400000 72.11% 4000 128 1 0
52 Cheese 2.1 286202 44:44:56.2 19579 40000 2862 400000 71.55% 4000 128 1 0
53 Fruit 2.3 285653 44:43:17.1 19219 40000 2856 400000 71.41% 4000 128 1 0
54 GreKo 2020.03 285588 44:40:38.2 19566 40000 2856 400000 71.40% 4000 128 1 0
55 ProDeo 2.2 282592 44:47:12.1 18903 40000 2826 400000 70.65% 4000 128 1 0
56 Fridolin 3.10 281514 44:53:55.1 18984 40000 2815 400000 70.38% 4000 128 1 0
57 Benjamin 280598 44:47:19.4 18740 40000 2806 400000 70.15% 4000 128 1 0
58 Fruit 2.1 280170 44:41:52.0 18825 40000 2801 400000 70.04% 4000 128 1 0
59 Devel 3.0.0b 279037 45:29:21.4 18849 40000 2790 400000 69.76% 4000 128 1 46
60 Ruffian 2 277825 44:31:05.7 18629 40000 2778 400000 69.46% 4000 128 1 0
61 Orion 0.6 277732 44:45:12.5 18797 40000 2777 400000 69.43% 4000 128 1 41
62 Ares 005-2 261984 49:44:18.2 17472 40000 2620 400000 65.50% 4000 128 1 0
63 Stash 16.0 261931 44:34:09.0 17370 40000 2619 400000 65.48% 4000 128 1 0
64 CT800 1.40 261194 44:00:47.7 17252 40000 2612 400000 65.30% 4000 128 1 0
65 FoxSee 3.3.3 249604 44:15:53.8 16313 40000 2496 400000 62.40% 4000 128 1 0
Created with MEA
by
Ferdinand
Mosca
90% of coding is debugging, the other 10% is writing bugs.
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Re: ZeroFish - getting the best of 2 worlds
StockFiNN 0.1 1000ms SF1.EPD (the Stockfish anlysis)
Making more sense now.
Code: Select all
EPD : epd\sf1.epd
Time : 1000ms
Max Time Hash
Engine Points Used Time Found Pos Elo Score Score ms Mb Cpu Errors
1 Stockfish 11 336059 11:29:37.8 24143 40000 3360 400000 84.01% 1000 128 1 0
2 Komodo 14 319226 11:09:29.0 22311 40000 3192 400000 79.81% 1000 128 1 0
3 StockfiNN 01 317901 11:30:53.1 22348 40000 3179 400000 79.48% 1000 128 1 0
4 Houdini 6.03 316790 11:28:13.0 22228 40000 3168 400000 79.20% 1000 128 1 0
5 SlowChess 2.2 310267 10:30:32.8 21613 40000 3102 400000 77.57% 1000 128 1 0
6 Ethereal 12 309903 11:30:46.0 21512 40000 3099 400000 77.48% 1000 128 1 0
7 Defenchess 2.2 306114 10:11:24.2 21153 40000 3061 400000 76.53% 1000 128 1 39
8 rofChade 2.3 305616 11:25:15.0 21126 40000 3056 400000 76.40% 1000 128 1 39
9 Xiphos 0.6 304989 10:03:40.2 21051 40000 3050 400000 76.25% 1000 128 1 0
10 Laser 1.7 304526 11:28:48.8 21014 40000 3045 400000 76.13% 1000 128 1 0
11 SlowChess 2.1 304347 10:31:13.3 21018 40000 3043 400000 76.09% 1000 128 1 0
12 Booot 6.4 304313 12:54:41.9 20968 40000 3043 400000 76.08% 1000 128 1 153
13 RubiChess-1.7.2 303175 11:25:39.8 20977 40000 3031 400000 75.79% 1000 128 1 0
14 Schooner 2.2 302004 10:19:22.6 20800 40000 3020 400000 75.50% 1000 128 1 0
15 Andscacs 0.95 300213 12:10:08.1 20814 40000 3002 400000 75.05% 1005 128 1 39
16 Shredder 13 299610 11:29:20.3 20610 40000 2996 400000 74.90% 1000 128 1 0
17 Demolito 200514 296246 10:54:32.7 20277 40000 2962 400000 74.06% 1000 128 1 0
18 Wasp 4.00 295032 11:45:56.8 20189 40000 2950 400000 73.76% 1000 128 1 0
19 Fire 7.1 294904 11:25:51.4 20082 40000 2949 400000 73.73% 1000 128 1 0
20 ice 4.0 293707 11:44:34.3 20274 40000 2937 400000 73.43% 1000 128 1 0
21 Wasp 3.75 293471 11:45:23.9 19838 40000 2934 400000 73.37% 1000 128 1 0
22 Vajolet 2.8 293281 11:25:55.1 19868 40000 2932 400000 73.32% 1000 128 1 0
23 Arasan 22 291556 11:27:52.6 20013 40000 2915 400000 72.89% 1000 128 1 0
24 Gogobello 2.2 289938 11:45:41.7 19724 40000 2899 400000 72.48% 1000 128 1 39
25 igel 2.40 287689 11:27:51.2 19567 40000 2876 400000 71.92% 1000 128 1 39
26 Deuterium 2019 286625 11:32:54.5 19382 40000 2866 400000 71.66% 1000 128 1 0
27 Monolith 2 285643 11:30:49.3 19385 40000 2856 400000 71.41% 1000 128 1 0
28 Rodent 4 285176 11:45:37.0 19332 40000 2851 400000 71.29% 1000 128 1 0
29 Marvin 3.60 283132 10:51:18.7 19221 40000 2831 400000 70.78% 1000 128 1 39
30 Minic 2.25 282445 10:55:58.8 19188 40000 2824 400000 70.61% 1000 128 1 0
31 FabChess 1.15 282281 11:48:51.9 19162 40000 2822 400000 70.57% 1000 128 1 39
32 Amoeba 3.1 281918 09:40:41.7 18965 40000 2819 400000 70.48% 1000 128 1 0
33 Counter 3.5 276142 11:25:15.0 18592 40000 2761 400000 69.04% 1000 128 1 0
34 Asymptote 0.8 274789 12:15:41.4 18507 40000 2748 400000 68.70% 1000 128 1 39
35 Weiss 0.10 272105 11:07:28.2 18224 40000 2721 400000 68.03% 1000 128 1 0
36 Fruit 2.3 267475 11:29:21.9 17797 40000 2674 400000 66.87% 1000 128 1 0
37 Fruit 2.1 261216 11:30:13.4 17261 40000 2612 400000 65.30% 1000 128 1 0
38 Ruffian 2 259370 11:12:59.3 17236 40000 2593 400000 64.84% 1000 128 1 0
Created with MEA
by
Ferdinand
Mosca
90% of coding is debugging, the other 10% is writing bugs.
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- Posts: 364
- Joined: Mon May 14, 2007 8:20 pm
- Full name: Boban Stanojević
Re: ZeroFish - getting the best of 2 worlds
Thank you, Ed, once again.
BTW, Joerg Oster made two very fast compiles for StockFish NNUE and StockFiNN for older computers, like my laptop. I am very interested to compare their evaluation, and the evaluation of Winter. I am sure NNs could be used just to improve parts of the evaluation, keeping the best of both worlds, in a manner (dis)similar to what ZeroFish tried to achieve.
BTW, Joerg Oster made two very fast compiles for StockFish NNUE and StockFiNN for older computers, like my laptop. I am very interested to compare their evaluation, and the evaluation of Winter. I am sure NNs could be used just to improve parts of the evaluation, keeping the best of both worlds, in a manner (dis)similar to what ZeroFish tried to achieve.
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Re: ZeroFish - getting the best of 2 worlds
Well, you can install SF-NN into the MEA1 folder, Winter in the MEA2 folder and modify the zerofish.ini file accordingly, should work.
90% of coding is debugging, the other 10% is writing bugs.